Survey of Users of the USGS Stream-Gaging Network in Iowa, 1996, HR-383, 1996

A survey was sent to over 200 Federal, State, and local agencies that might use streamflow data collected by the U. S. Geological Survey in Iowa. A total of 181 forms were returned and 112 agencies indicated that they use streamflow data. The responses show that streamflow data from the Iowa USGS stream-gaging network, which in 1996 is composed of 117 stations, are used by many agencies for many purposes and that many stations provide streamflow data that fulfill a variety of joint purposes. The median number of respondents per station that use data from the station was 6 and the median number of data-use categories indicated per station was 9. The survey results can be used by agencies that fund the Iowa USGS stream-gaging network to help them decide which stations to continue to support if it becomes necessary to reduce the size of the stream-gaging network.

Firm's network capability and innovation performance: evidences from China hi-tech industry

ABSTRACT : A firm's competitive advantage can arise from internal resources as well as from an interfirm network. -This dissertation investigates the competitive advantage of a firm involved in an innovation network by integrating strategic management theory and social network theory. It develops theory and provides empirical evidence that illustrates how a networked firm enables the network value and appropriates this value in an optimal way according to its strategic purpose. The four inter-related essays in this dissertation provide a framework that sheds light on the extraction of value from an innovation network by managing and designing the network in a proactive manner. The first essay reviews research in social network theory and knowledge transfer management, and identifies the crucial factors of innovation network configuration for a firm's learning performance or innovation output. The findings suggest that network structure, network relationship, and network position all impact on a firm's performance. Although the previous literature indicates that there are disagreements about the impact of dense or spare structure, as well as strong or weak ties, case evidence from Chinese software companies reveals that dense and strong connections with partners are positively associated with firms' performance. The second essay is a theoretical essay that illustrates the limitations of social network theory for explaining the source of network value and offers a new theoretical model that applies resource-based view to network environments. It suggests that network configurations, such as network structure, network relationship and network position, can be considered important network resources. In addition, this essay introduces the concept of network capability, and suggests that four types of network capabilities play an important role in unlocking the potential value of network resources and determining the distribution of network rents between partners. This essay also highlights the contingent effects of network capability on a firm's innovation output, and explains how the different impacts of network capability depend on a firm's strategic choices. This new theoretical model has been pre-tested with a case study of China software industry, which enhances the internal validity of this theory. The third essay addresses the questions of what impact network capability has on firm innovation performance and what are the antecedent factors of network capability. This essay employs a structural equation modelling methodology that uses a sample of 211 Chinese Hi-tech firms. It develops a measurement of network capability and reveals that networked firms deal with cooperation between, and coordination with partners on different levels according to their levels of network capability. The empirical results also suggests that IT maturity, the openness of culture, management system involved, and experience with network activities are antecedents of network capabilities. Furthermore, the two-group analysis of the role of international partner(s) shows that when there is a culture and norm gap between foreign partners, a firm must mobilize more resources and effort to improve its performance with respect to its innovation network. The fourth essay addresses the way in which network capabilities influence firm innovation performance. By using hierarchical multiple regression with data from Chinese Hi-tech firms, the findings suggest that there is a significant partial mediating effect of knowledge transfer on the relationships between network capabilities and innovation performance. The findings also reveal that the impacts of network capabilities divert with the environment and strategic decision the firm has made: exploration or exploitation. Network constructing capability provides a greater positive impact on and yields more contributions to innovation performance than does network operating capability in an exploration network. Network operating capability is more important than network constructing capability for innovative firms in an exploitation network. Therefore, these findings highlight that the firm can shape the innovation network proactively for better benefits, but when it does so, it should adjust its focus and change its efforts in accordance with its innovation purposes or strategic orientation.

Social network architecture and the maintenance of deleterious cultural traits.

How have changes in communications technology affected the way that misinformation spreads through a population and persists? To what extent do differences in the architecture of social networks affect the spread of misinformation, relative to the rates and rules by which individuals transmit or eliminate different pieces of information (cultural traits)? Here, we use analytical models and individual-based simulations to study how a 'cultural load' of misinformation can be maintained in a population under a balance between social transmission and selective elimination of cultural traits with low intrinsic value. While considerable research has explored how network architecture affects percolation processes, we find that the relative rates at which individuals transmit or eliminate traits can have much more profound impacts on the cultural load than differences in network architecture. In particular, the cultural load is insensitive to correlations between an individual's network degree and rate of elimination when these quantities vary among individuals. Taken together, these results suggest that changes in communications technology may have influenced cultural evolution more strongly through changes in the amount of information flow, rather than the details of who is connected to whom.

Light intensity modulates the regulatory network of the shade avoidance response in Arabidopsis.

Plants such as Arabidopsis thaliana respond to foliar shade and neighbors who may become competitors for light resources by elongation growth to secure access to unfiltered sunlight. Challenges faced during this shade avoidance response (SAR) are different under a light-absorbing canopy and during neighbor detection where light remains abundant. In both situations, elongation growth depends on auxin and transcription factors of the phytochrome interacting factor (PIF) class. Using a computational modeling approach to study the SAR regulatory network, we identify and experimentally validate a previously unidentified role for long hypocotyl in far red 1, a negative regulator of the PIFs. Moreover, we find that during neighbor detection, growth is promoted primarily by the production of auxin. In contrast, in true shade, the system operates with less auxin but with an increased sensitivity to the hormonal signal. Our data suggest that this latter signal is less robust, which may reflect a cost-to-robustness tradeoff, a system trait long recognized by engineers and forming the basis of information theory.

Management of adenoid cystic carcinoma of the breast: a Rare Cancer Network study.

BACKGROUND: Mammary adenoid cystic carcinoma (ACC) is a rare breast cancer. The aim of this retrospective study was to assess prognostic factors and patterns of failure, as well as the role of radiation therapy (RT), in ACC.¦METHODS: Between January 1980 and December 2007, 61 women with breast ACC were treated at participating centers of the Rare Cancer Network. Surgery consisted of lumpectomy in 41 patients and mastectomy in 20 patients. There were 51(84%) stage pN0 and 10 stage cN0 (16%) patients. Postoperative RT was administered to 40 patients (35 after lumpectomy, 5 after mastectomy).¦RESULTS: With a median follow-up of 79 months (range, 6-285), 5-year overall and disease-free survival rates were 94% (95% confidence interval [CI], 88%-100%) and 82% (95% CI, 71%-93%), respectively. The 5-year locoregional control (LRC) rate was 95% (95% CI, 89%-100%). Axillary lymph node dissection or sentinel node biopsy was performed in 84% of cases. All patients had stage pN0 disease. In univariate analysis, survival was not influenced by the type of surgery or the use of postoperative RT. The 5-year LRC rate was 100% in the mastectomy group versus 93% (95% CI, 83%-100%) in the breast-conserving surgery group, respectively (p = 0.16). For the breast-conserving surgery group, the use of RT significantly correlated with LRC (p = 0.03); the 5-year LRC rates were 95% (95% CI, 86%-100%) for the RT group versus 83% (95% CI, 54%-100%) for the group receiving no RT. No local failures occurred in patients with positive margins, all of whom received postoperative RT.¦CONCLUSION: Breast-conserving surgery is the treatment of choice for patients with ACC breast cancer. Axillary lymph node dissection or sentinel node biopsy might not be recommended. Postoperative RT should be proposed in the case of breast-conserving surgery.

A role for the alpha-chain connecting peptide motif in mediating TCR-CD8 cooperation.

To generate peripheral T cells that are both self-MHC restricted and self-MHC tolerant, thymocytes are subjected to positive and negative selection. How the TCR discriminates between positive and negative selection ligands is not well understood, although there is substantial evidence that the CD4 and CD8 coreceptors play an important role in this cell fate decision. We have previously identified an evolutionarily conserved motif in the TCR, the alpha-chain connecting peptide motif (alpha-CPM), which allows the TCR to deliver positive selection signals. Thymocytes expressing alpha-CPM-deficient receptors do not undergo positive selection, whereas their negative selection is not impaired. In this work we studied the ligand binding and receptor function of alpha-CPM-deficient TCRs by generating T cell hybridomas expressing wild-type or alpha-CPM-deficient forms of the T1 TCR. This K(d)-restricted TCR is specific for a photoreactive derivative of the Plasmodium berghei circumsporozoite peptide(252-260) IASA-YIPSAEK(ABA)I and is therefore amenable to TCR photoaffinity labeling. The experiments presented in this work show that alpha-CPM-deficient TCRs fail to cooperate with CD8 to enhance ligand binding and functional responses.

ConnectomeViewer - Multi-Modal Multi-Level Network Visualization and Analysis.

Introduction: The field of Connectomic research is growing rapidly, resulting from methodological advances in structural neuroimaging on many spatial scales. Especially progress in Diffusion MRI data acquisition and processing made available macroscopic structural connectivity maps in vivo through Connectome Mapping Pipelines (Hagmann et al, 2008) into so-called Connectomes (Hagmann 2005, Sporns et al, 2005). They exhibit both spatial and topological information that constrain functional imaging studies and are relevant in their interpretation. The need for a special-purpose software tool for both clinical researchers and neuroscientists to support investigations of such connectome data has grown. Methods: We developed the ConnectomeViewer, a powerful, extensible software tool for visualization and analysis in connectomic research. It uses the novel defined container-like Connectome File Format, specifying networks (GraphML), surfaces (Gifti), volumes (Nifti), track data (TrackVis) and metadata. Usage of Python as programming language allows it to by cross-platform and have access to a multitude of scientific libraries. Results: Using a flexible plugin architecture, it is possible to enhance functionality for specific purposes easily. Following features are already implemented: * Ready usage of libraries, e.g. for complex network analysis (NetworkX) and data plotting (Matplotlib). More brain connectivity measures will be implemented in a future release (Rubinov et al, 2009). * 3D View of networks with node positioning based on corresponding ROI surface patch. Other layouts possible. * Picking functionality to select nodes, select edges, get more node information (ConnectomeWiki), toggle surface representations * Interactive thresholding and modality selection of edge properties using filters * Arbitrary metadata can be stored for networks, thereby allowing e.g. group-based analysis or meta-analysis. * Python Shell for scripting. Application data is exposed and can be modified or used for further post-processing. * Visualization pipelines using filters and modules can be composed with Mayavi (Ramachandran et al, 2008). * Interface to TrackVis to visualize track data. Selected nodes are converted to ROIs for fiber filtering The Connectome Mapping Pipeline (Hagmann et al, 2008) processed 20 healthy subjects into an average Connectome dataset. The Figures show the ConnectomeViewer user interface using this dataset. Connections are shown that occur in all 20 subjects. The dataset is freely available from the homepage (connectomeviewer.org). Conclusions: The ConnectomeViewer is a cross-platform, open-source software tool that provides extensive visualization and analysis capabilities for connectomic research. It has a modular architecture, integrates relevant datatypes and is completely scriptable. Visit www.connectomics.org to get involved as user or developer.

The glucose transporter 4 FQQI motif is necessary for Akt Substrate of 160-Kilodalton-dependent plasma membrane translocation but not Golgi-localized g-ear-containing Arf-binding protein-dependent entry into the insulin-responsive storage compartment.

Newly synthesized glucose transporter 4 (GLUT4) enters into the insulin-responsive storage compartment in a process that is Golgi-localized γ-ear-containing Arf-binding protein (GGA) dependent, whereas insulin-stimulated translocation is regulated by Akt substrate of 160 kDa (AS160). In the present study, using a variety of GLUT4/GLUT1 chimeras, we have analyzed the specific motifs of GLUT4 that are important for GGA and AS160 regulation of GLUT4 trafficking. Substitution of the amino terminus and the large intracellular loop of GLUT4 into GLUT1 (chimera 1-441) fully recapitulated the basal state retention, insulin-stimulated translocation, and GGA and AS160 sensitivity of wild-type GLUT4 (GLUT4-WT). GLUT4 point mutation (GLUT4-F5A) resulted in loss of GLUT4 intracellular retention in the basal state when coexpressed with both wild-type GGA and AS160. Nevertheless, similar to GLUT4-WT, the insulin-stimulated plasma membrane localization of GLUT4-F5A was significantly inhibited by coexpression of dominant-interfering GGA. In addition, coexpression with a dominant-interfering AS160 (AS160-4P) abolished insulin-stimulated GLUT4-WT but not GLUT4-F5A translocation. GLUT4 endocytosis and intracellular sequestration also required both the amino terminus and large cytoplasmic loop of GLUT4. Furthermore, both the FQQI and the SLL motifs participate in the initial endocytosis from the plasma membrane; however, once internalized, unlike the FQQI motif, the SLL motif is not responsible for intracellular recycling of GLUT4 back to the specialized compartment. Together, we have demonstrated that the FQQI motif within the amino terminus of GLUT4 is essential for GLUT4 endocytosis and AS160-dependent intracellular retention but not for the GGA-dependent sorting of GLUT4 into the insulin-responsive storage compartment.

Mécanismes moléculaires de l'homodimérisation de la protéine Scaffold IB1 et son implication dans la sécrétion d'insuline

RÉSUMÉ Les kinases activées par des mitogènes (MAPKs) constituent une importante famille d'enzymes conservée dans l'évolution. Elles forment un réseau de signalisation qui permet à la cellule de réguler spécifiquement divers processus impliqués dans la différenciation, la survie ou l'apoptose. Les kinases formant le module MAPK sont typiquement disposées en cascades de trois partenaires qui s'activent séquentiellement par phosphorylation. Le module minimum est constitué d'une MAPK kinase kinase (MAPKKK), d'une MAPK kinase (MAPKK) et d'une MAPK. Une fois activée, la MAPK phosphoryle différents substrats tels que des facteurs de transcription ou d'autres protéines. Chez les mammifères, trois groupes principaux de MAPKs ont été identifiés. Il s'agit du groupe des kinases régulées par des signaux extracellulaires du type «mitogènes » (ERK), ainsi que des groupes p38 et cJun NH2-terminal kinase (JNK), ou SAPK pour stress activated protein kinase, plutôt activées par des stimuli de type «stress ». De nombreuses études ont impliqué JNK dans la régulation de différents processus physiologiques et pathologiques, comme le diabète, les arthrites rhumatoïdes, l'athérosclérose, l'attaque cérébrale, les maladies de Parkinson et d'Alzheimer. JNK, en particulier joue un rôle dans la mort des cellules sécrétrices d'insuline induite par l'interleukine (IL)-1 β, lors du développement du diabète de type 1. IB1 est une protéine scaffold (échafaud) qui participe à l'organisation du module de JNK. IB1 est fortement exprimée dans les neurones et les cellules β du pancréas. Elle a été impliquée dans la survie des cellules, la régulation de l'expression du transporteur du glucose de type 2 (Glut-2) et dans le processus de sécrétion d'insuline glucose-dépendante. IBl est caractérisée par plusieurs domaines d'interaction protéine-protéine : un domaine de liaison à JNK (JBD), un domaine homologue au domaine 3 de Src (SH3) et un domaine d'interaction avec des tyrosines phosphorylées (PID). Des partenaires d'IB1, incluant les membres de la familles des kinases de lignée mélangée (MLKs), la MAPKK MKK7, la phosphatase 7 des MAPKs (MKP-7) ainsi que la chaîne légère de la kinésine, ont été isolés. Tous ces facteurs, sauf les MLKs et MKK7 interagissent avec le domaine PID ou l'extrême partie C-terminale d'IBl (la chaîne légère de la kinésine). Comme d'autres protéines scaffolds déjà décrites, IBl et un autre membre de la famille, IB2, sont capables d'homo- et d'hétérodimériser. L'interaction a lieu par l'intermédiaire de leur région C-terminale, contenant les domaines SH3 et PID. Mais ni le mécanisme moléculaire, ni la fonction de la dimérisation n'ont été caractérisés. Le domaine SH3 joue un rôle central lors de l'assemblage de complexes de macromolécules impliquées dans la signalisation intracellulaire. Il reconnaît de préférence des ligands contenant un motif riche en proline de type PxxP et s'y lie. Jusqu'à maintenant, tous les ligands isolés se liant à un domaine SH3 sont linéaires. Bien que le domaine SH3 soit un domaine important de la transmission des signaux, aucun partenaire interagissant spécifiquement avec le domaine SH3 d'IB1 n'a été identifié. Nous avons démontré qu'IBl homodimérisait par un nouveau set unique d'interaction domaine SH3 - domaine SH3. Les études de cristallisation ont démontré que l'interface recouvrait une région généralement impliquée dans la reconnaissance classique d'un motif riche en proline de type PxxP, bien que le domaine SH3 d'IB1 ne contienne aucun motif PxxP. L'homodimère d'IB1 semble extrêmement stable. Il peut cependant être déstabilisé par trois mutations ponctuelles dirigées contre des résidus clés impliqués dans la dimérisation. Chaque mutation réduit l'activation basale de JNK dépendante d'IB 1 dans des cellules 293T. La déstabilisation de la dimérisation induite par la sur-expression du domaine SH3, provoque une diminution de la sécrétion d'insuline glucose dépendant. SUMMARY Mitogen activated kinases (MAPK) are an important and conserved enzyme family. They form a signaling network required to specifically regulate process involved in cell differentiation, proliferation or death. A MAPK module is typically organized in a threekinase cascade which are activated by sequential phosphorylation. The MAPK kinase kinase (MAPKKK), the MAPK kinase (MAPKK) and the MAPK constitute the minimal module. Once activated, the MAPK phosphorylates its targets like transcription factors or other proteins. In mammals, three major groups of MAPKs have been identified : the group of extra-cellular regulated kinase (ERK) which is activated by mitogens and the group of p38 and cJun NH2-terminal kinase (JNK) or SAPK for stress activated protein kinase, which are activated by stresses. Many studies implicated JNK in many physiological or pathological process regulations, like diabetes, rheumatoid arthritis, arteriosclerosis, strokes or Parkinson and Alzheimer disease. In particular, JNK plays a crucial role in pancreatic β cell death induced by Interleukin (IL)-1 β in type 1 diabetes. Islet-brain 1 (IB 1) is a scaffold protein that interacts with components of the JNK signal-transduction pathway. IB 1 is expressed at high levels in neurons and in pancreatic β-cells, where it has been implicated in cell survival, in regulating expression of the glucose transporter type 2 (Glut-2) and in glucose-induced insulin secretion. It contains several protein-protein interaction domains, including a JNK-binding domain (JBD), a Src homology 3 domain (SH3) and a phosphotyrosine interaction domain (PID). Proteins that have been shown to associate with IB 1 include members of the Mixed lineage kinase family (MLKs), the MAPKK MKK7, the MAPK phosphatase-7 MKP7, as well as several other ligands including kinesin light chain, LDL receptor related family members and the amyloid precursor protein APP. All these factors, except MLK3 and MKK7 have been shown to interact with the PID domain or the extreme C-terminal part (Kinesin light chain) of IB 1. As some scaffold already described, IB 1 and another member of the family, IB2, have previously been shown to engage in oligomerization through their respective C-terminal regions that include the SH3 and PID domains. But neither the molecular mechanisms nor the function of dimerization have yet been characterized. SH3 domains are central in the assembly of macromolecular complexes involved in many intracellular signaling pathways. SH3 domains are usually characterized by their preferred recognition of and association with canonical PxxP motif. In all these cases, a single linear sequence is sufficient for binding to the SH3 domain. However, although SH3 domains are important elements of signal transduction, no protein that interacts specifically with the SH3 domain of IB 1 has been identified so far. Here, we show that IB 1 homodimerizes through a navel and unique set of SH3-SH3 interactions. X-ray crystallography studies indicate that the dieter interface covers a region usually engaged in PxxP-mediated ligand recognition, even though the IB 1 SH3 domain lacks this motif. The highly stable IB 1 homodimer can be significantly destabilized in vitro by individual point-mutations directed against key residues involved in dimerization. Each mutation reduces IB 1-dependent basal JNK activity in 293T cells. Impaired dimerization induced by over-expression of the SH3 domain also results in a significant reduction in glucose-dependent insulin secretion in pancreatic β-cells.

Report on the Iowa Communications Network for the year ended June 30, 2013

Report on the Iowa Communications Network for the year ended June 30, 2013

Audit report on the Iowa Communications Network (ICN) for the year ended June 30, 2006

Audit report on the Iowa Communications Network (ICN) for the year ended June 30, 2007

Audit report on the Iowa Communications Network (ICN) for the year ended June 30, 2005

Audit report on the Iowa Communications Network (ICN) for the year ended June 30, 2005

Audit report on the Iowa Communications Network (ICN) for the year ended June 30, 2004

Audit report on the Iowa Communications Network (ICN) for the year ended June 30, 2005

Online teaching of inflammatory skin pathology by a French-speaking International University Network

INTRODUCTION: Developments in technology, web-based teaching and whole slide imaging have broadened the teaching horizon in anatomic pathology. Creating online learning material including many types of media such as radiologic images, whole slides, videos, clinical and macroscopic photographs, is now accessible to most universities. Unfortunately, a major limiting factor to maintain and update the learning material is the amount of resources needed. In this perspective, a French-national university network was initiated in 2011 to build joint online teaching modules consisting of clinical cases and tests. The network has since expanded internationally to Québec, Switzerland and Ivory Coast. METHOD: One of the first steps of the project was to build a learning module on inflammatory skin pathology for interns and residents in pathology and dermatology. A pathology resident from Québec spent 6 weeks in France and Switzerland to develop the contents and build the module on an e-learning Moodle platform under the supervision of two dermatopathologists. The learning module contains text, interactive clinical cases, tests with feedback, virtual slides, images and clinical photographs. For that module, the virtual slides are decentralized in 2 universities (Bordeaux and Paris 7). Each university is responsible of its own slide scanning, image storage and online display with virtual slide viewers. RESULTS: The module on inflammatory skin pathology includes more than 50 web pages with French original content, tests and clinical cases, links to over 45 virtual images and more than 50 microscopic and clinical photographs. The whole learning module is being revised by four dermatopathologists and two senior pathologists. It will be accessible to interns and residents in the spring of 2014. The experience and knowledge gained from that work will be transferred to the next international resident whose work will be aimed at creating lung and breast pathology learning modules. CONCLUSION: The challenges of sustaining a project of this scope are numerous. The technical aspect of whole-slide imaging and storage needs to be developed by each university or group. The content needs to be regularly updated and its accuracy reviewed by experts in each individual domain. The learning modules also need to be promoted within the academic community to ensure maximal benefit for trainees. A collateral benefit of the project was the establishment of international partnerships between French-speaking universities and pathologists with the common goal of promoting pathology education through the use of multi-media technology including whole slide imaging.

Gene-disease network analysis reveals functional modules in mendelian, complex and environmental diseases

AbstractBACKGROUND: Scientists have been trying to understand the molecular mechanisms of diseases to design preventive and therapeutic strategies for a long time. For some diseases, it has become evident that it is not enough to obtain a catalogue of the disease-related genes but to uncover how disruptions of molecular networks in the cell give rise to disease phenotypes. Moreover, with the unprecedented wealth of information available, even obtaining such catalogue is extremely difficult.PRINCIPAL FINDINGS: We developed a comprehensive gene-disease association database by integrating associations from several sources that cover different biomedical aspects of diseases. In particular, we focus on the current knowledge of human genetic diseases including mendelian, complex and environmental diseases. To assess the concept of modularity of human diseases, we performed a systematic study of the emergent properties of human gene-disease networks by means of network topology and functional annotation analysis. The results indicate a highly shared genetic origin of human diseases and show that for most diseases, including mendelian, complex and environmental diseases, functional modules exist. Moreover, a core set of biological pathways is found to be associated with most human diseases. We obtained similar results when studying clusters of diseases, suggesting that related diseases might arise due to dysfunction of common biological processes in the cell.CONCLUSIONS: For the first time, we include mendelian, complex and environmental diseases in an integrated gene-disease association database and show that the concept of modularity applies for all of them. We furthermore provide a functional analysis of disease-related modules providing important new biological insights, which might not be discovered when considering each of the gene-disease association repositories independently. Hence, we present a suitable framework for the study of how genetic and environmental factors, such as drugs, contribute to diseases.AVAILABILITY: The gene-disease networks used in this study and part of the analysis are available at http://ibi.imim.es/DisGeNET/DisGeNETweb.html#Download