Collaboration patterns, external shocks and uncertainty: Swiss nuclear energy politics before and after Fukushima

Energy shocks like the Fukushima accident can have important political consequences. This article examines their impact on collaboration patterns between collective actors in policy processes. It argues that external shocks create both behavioral uncertainty, meaning that actors do not know about other actors' preferences, and policy uncertainty on the choice and consequences of policy instruments. The context of uncertainty interacts with classical drivers of actor collaboration in policy processes. The analysis is based on a dataset comprising interview and survey data on political actors in two subsequent policy processes in Switzerland and Exponential Random Graph Models for network data. Results first show that under uncertainty, collaboration of actors in policy processes is less based on similar preferences than in stable contexts, but trust and knowledge of other actors are more important. Second, under uncertainty, scientific actors are not preferred collaboration partners.

Differential Cytoplast Requirement for Embryonic and Somatic Cell Nuclear Transfer in Cattle

Effective activation of a recipient oocyte and its compatibility with the nuclear donor are critical to the successful nuclear reprogramming during nuclear transfer. We designed a series of experiments using various activation methods to determine the optimum activation efficiency of bovine oocytes. We then performed nuclear transfer (NT) of embryonic and somatic cells into cytoplasts presumably at G1/S phase (with prior activation) or at metaphase II (MII, without prior activation). Oocytes at 24 hr of maturation in vitro were activated with various combinations of calcium ionophore A23187 (A187) (5 microM, 5 min), electric pulse (EP), ethanol (7%, 7 min), cycloheximide (CHX) (10 micro g/ml, 6 hr), and then cultured in cytochalasin D (CD) for a total of 18 hr. Through a series of experiments (Exp. 1-4), an improved activation protocol (A187/EP/CHX/CD) was identified and used for comparison of NT efficiency of embryonic versus somatic donor cells (Exp. 5). When embryonic cells from morula and blastocysts (BL) were used as nuclear donors, a significantly higher rate of blastocyst development from cloned embryos was obtained with G1/S phase cytoplasts than with MII-phase cytoplasts (36 vs. 11%, P < 0.05). In contrast, when skin fibroblasts were used as donor cells, the use of an MII cytoplast (vs. G1/S phase) was imperative for blastocyst development (30 vs. 6%, P < 0.05). Differential staining showed that parthenogenetic, embryonic, and somatic cloned BL contained 26, 29, and 33% presumptive inner cell mass (ICM) cells, respectively, which is similar to that of frozen-thawed in vivo embryos at a comparable developmental stage (23%). These data indicate that embryonic and somatic nuclei require different recipient cytoplast environment for remodeling/ reprogramming, and this is likely due to the different cell cycle stage and profiles of molecular differentiation of the transferred donor nuclei.

Nuclear functions of dynein light chain 1 in hormone action

It is widely accepted that the process of breast cancer tumorigenesis involves estrogen receptor-alpha (ER)-regulated stimulatory pathways, which feed into survival, cell cycle progression and proliferative response. Recent data from Kumar laboratory indicate that dynein light chain 1 (DLC1) plays a role in survival, motility and invasiveness, all of which are required for a successful tumorigenesis process. In the present research, we have discovered a mechanistic bidirectional regulatory link between the DLC1 and ER. We found that DLC1 facilitates ligand-induced ER transactivation involving the recruitment of the DLC1-ER complex to ER-target genes. To gain insights into the mechanism by which DLC1 regulates the ER pathway, we set out to identify novel DLC1-interacting proteins. Among other proteins, we identified KIBRA and Ciz1 as two novel DLC1-interacting proteins. We found that the KIBRA-DLC1 complex is recruited to ER-responsive promoters, and that KIBRA-DLC1 interaction is needed for the recruitment of ER to its targets as well as for ER's transactivation function. Finally, we found that KIBRA utilizes its histone H3interacting glutamic acid-rich region to regulate the transactivation activity of ER. During the course of this work, we also discovered that DLC1 interacts with Cdk2 and Ciz1, and such interactions play a direct accelerating role in the G1-S transition of breast cancer cells. While delineating the role of Ciz1 in hormone-responsive cancer cells, we found that Ciz1 is an estrogen-responsive gene, and acts as a co-regulator of ER. Accordingly, Ciz1 overexpression in breast cancer cells conferred estrogen hypersensitivity, promoted the growth-rate, anchorage-independency and tumorigenic properties. Collectively, findings made during the course of the present dissertation research introduced two new molecular players in the action of ER in breast cancer cells, with a particular focus on cell cycle progression and ER-chromatin target regulation. In addition, findings presented here provide novel mechanistic insight about the contribution of DLC1 and its interacting proteins in amplifying the hormone action and promoting the process of breast cancer tumorigenesis. ^

Transcriptional upregulation of the p21Cip1 promoter by STAT3 and nuclear ErbB2

Over-expression of the receptor tyrosine kinase ErbB2 is prevalent in approximately 30% of human breast carcinomas and confers Taxol resistance. In breast cancer cells, Taxol induces tubulin polymerization and hyperstable microtubule formation. This in turn prematurely activates Cdc2 kinase allowing early entry into the G2/M phase of the cell cycle resultant in mitotic catastrophe followed by apoptosis. Over-expression of ErbB2 upregulates p21Cip1, which inhibits Cdc2 activation, and leads to Taxol resistance in patients. However, the mechanism of ErbB2-mediated p21 Cip1 upregulation is unclear. Here in this study, we investigated the mechanism of ErbB2 downstream signaling events leading to upregulation. The CDKN1A (p21Cip1) gene promoter contains numerous cis-elements including a Signal transducer and activator of transcription (STAT) Inducable Element (SIE) located at -679 kb. Our studies showed ErbB2 overexpressing cells had increased activated levels of STAT3, and therefore we hypothesized that STAT3 is responsible for the upregulation of the p21Cip1 promoter by ErbB2. EMSA and ChIP assays confirmed the binding of STAT3 to the p21Cip1 promoter and luciferase assays showed higher p21 Cip1 promoter activity in ErbB2 over-expressing transfectants when compared to parental cells, in a STAT3 binding site dependant manner. Additionally, reduced level of STAT3 led to reduced p21Cip1 protein expression and promoter activity indicating that both the STAT3 binding site and STAT3 protein are required for ErbB2-mediated p21Cip1 upregulation. Further investigation of ErbB2 downstream signaling showed increased Src kinase activity in ErbB2 over-expressing cells which was required for ErbB2-mediated STAT3 activation and p21Cip1 increase. Treatment of ErbB2 over-expressing resistant cells with STAT3 inhibitor peptides sensitized the cells to Taxol. In addition to classical signal transduction pathways, I identified a novel ErbB2 mediated regulatory mechanism of p21Cip1. I found that a nuclear ErbB2 and STAT3 complex binds directly to the p21Cip1 promoter offering a non-classical mechanism of p21Cip1 promoter regulation. These data suggest that ErbB2 over-expression can confer Taxol resistance of breast cancer cells by transcriptional upregulation of p21 Cip1 via activation of STAT3 by Src kinase and also by cooperation with nuclear ErbB2. The data suggest a potential clinical mechanism for STAT3 inhibitors in sensitizing ErbB2 over-expressing breast cancers to Taxol. ^

Showing the Past: Integrating Cartographic Collections through Virtual Map Rooms

Spatial Data Infrastructures have become a methodological and technological benchmark enabling distributed access to historical-cartographic archives. However, it is essential to offer enhanced virtual tools that imitate the current processes and methodologies that are carried out by librarians, historians and academics in the existing map libraries around the world. These virtual processes must be supported by a generic framework for managing, querying, and accessing distributed georeferenced resources and other content types such as scientific data or information. The authors have designed and developed support tools to provide enriched browsing, measurement and geometrical analysis capabilities, and dynamical querying methods, based on SDI foundations. The DIGMAP engine and the IBERCARTO collection enable access to georeferenced historical-cartographical archives. Based on lessons learned from the CartoVIRTUAL and DynCoopNet projects, a generic service architecture scheme is proposed. This way, it is possible to achieve the integration of virtual map rooms and SDI technologies bringing support to researchers within the historical and social domains.

A Comparison of different Uncertainty Activation Cross-Section Data Libraries: Application to the Prediction Uncertainty in Tritium Production

T actitivity in LiPb LiPb mock-up material irradiated in Frascati: measurement and MCNP results

A Comparison of different Uncertainty Activation Cross-Section Data Libraries and collapsed values for different neutron spectra: ADS, FISSION and FUSION

PART I:Cross-section uncertainties under differentneutron spectra. PART II: Processing uncertainty libraries

Cloud Computing Service for Managing Large Medical Image Data-Sets Using Balanced Collaborative Agents

Managing large medical image collections is an increasingly demanding important issue in many hospitals and other medical settings. A huge amount of this information is daily generated, which requires robust and agile systems. In this paper we present a distributed multi-agent system capable of managing very large medical image datasets. In this approach, agents extract low-level information from images and store them in a data structure implemented in a relational database. The data structure can also store semantic information related to images and particular regions. A distinctive aspect of our work is that a single image can be divided so that the resultant sub-images can be stored and managed separately by different agents to improve performance in data accessing and processing. The system also offers the possibility of applying some region-based operations and filters on images, facilitating image classification. These operations can be performed directly on data structures in the database.

Characterization and Test of a Data Acquisition System for PET

A small Positron Emission Tomography demonstrator based on LYSO slabs and Silicon Photomultiplier matrices is under construction at the University and INFN of Pisa. In this paper we present the characterization results of the read-out electronics and of the detection system. Two SiPM matrices, composed by 8 × 8 SiPM pixels, 1.5 mm pitch, have been coupled one to one to a LYSO crystals array. Custom Front-End ASICs were used to read the 64 channels of each matrix. Data from each Front-End were multiplexed and sent to a DAQ board for the digital conversion; a motherboard collects the data and communicates with a host computer through a USB port. Specific tests were carried out on the system in order to assess its performance. Futhermore we have measured some of the most important parameters of the system for PET application.

A simplified Probabilistic Safety Assesment of a Steam-Methane Reforming Hydrogen Production Plant coupled to a High-Temperature Gas Cooled Nuclear Reactor

A Probabilistic Safety Assessment (PSA) is being developed for a steam-methane reforming hydrogen production plant linked to a High-Temperature Gas Cooled Nuclear Reactor (HTGR). This work is based on the Japan Atomic Energy Research Institute’s (JAERI) High Temperature Test Reactor (HTTR) prototype in Japan. This study has two major objectives: calculate the risk to onsite and offsite individuals, and calculate the frequency of different types of damage to the complex. A simplified HAZOP study was performed to identify initiating events, based on existing studies. The initiating events presented here are methane pipe break, helium pipe break, and PPWC heat exchanger pipe break. Generic data was used for the fault tree analysis and the initiating event frequency. Saphire was used for the PSA analysis. The results show that the average frequency of an accident at this complex is 2.5E-06, which is divided into the various end states. The dominant sequences result in graphite oxidation which does not pose a health risk to the population. The dominant sequences that could affect the population are those that result in a methane explosion and occur 6.6E-8/year, while the other sequences are much less frequent. The health risk presents itself if there are people in the vicinity who could be affected by the explosion. This analysis also demonstrates that an accident in one of the plants has little effect on the other. This is true given the design base distance between the plants, the fact that the reactor is underground, as well as other safety characteristics of the HTGR. Sensitivity studies are being performed in order to determine where additional and improved data is needed.

Sharing analysis of arrays, collections, and recursive structures

Precise modeling of the program heap is fundamental for understanding the behavior of a program, and is thus of signiflcant interest for many optimization applications. One of the fundamental properties of the heap that can be used in a range of optimization techniques is the sharing relationships between the elements in an array or collection. If an analysis can determine that the memory locations pointed to by different entries of an array (or collection) are disjoint, then in many cases loops that traverse the array can be vectorized or transformed into a thread-parallel versión. This paper introduces several novel sharing properties over the concrete heap and corresponding abstractions to represent them. In conjunction with an existing shape analysis technique, these abstractions allow us to precisely resolve the sharing relations in a wide range of heap structures (arrays, collections, recursive data structures, composite heap structures) in a computationally efflcient manner. The effectiveness of the approach is evaluated on a set of challenge problems from the JOlden and SPECjvm98 suites. Sharing information obtained from the analysis is used to achieve substantial thread-level parallel speedups.