2010- 2014 Iowa Transportation Improvement Program

The Iowa Transportation Improvement Program (Program) is published to inform Iowans of planned investments in our state’s transportation system. The Iowa Transportation Commission (Commission) and Iowa Department of Transportation (Iowa DOT) are committed to programming those investments in a fiscally responsible manner. A major component of the 2010-2014 Program is the full integration of funding allocated to the Iowa DOT from the American Recovery and Reinvestment Act of 2009 (Recovery Act). To date, the Recovery Act has provided over $400 million of additional federal funding for transportation in Iowa, including funding that is allocated to local governments and entities. Recovery Act funding will result in a record year for transportation construction in Iowa and the creation and retention of jobs. Opportunities for additionalRecovery Act transportation funding remain and will be pursued as they becomeavailable. While Recovery Act funding will make a one-time significant impact in addressing Iowa’s backlog of needs, it is important to note that there remains a large shortfall in sustained annual transportation investment to meet Iowa’s current and future critical transportation needs. In recognition of this shortfall, Governor Culver introduced and the legislature passed an I-JOBS proposal. I-JOBS will result in an additional $50 million of state funding to reduce structurally deficient and functionally obsolete bridges on the primary road system and approximately $10 million in funding for other modes of transportation including $3 million of new funding to support the expansion of passenger rail service in Iowa. I-JOBS, and the continuing gradual increase in funding due to TIME-21, will complement and extend the benefits of Recovery Act funding and set the stage for addressing the shortfall in annual funding in the next few years. Iowa’s transportation system is multi-modal; therefore, the Program encompasses investments in aviation, transit, railroads, trails, and highways. A major component of the Program is the highway section. The FY2010-2014 highway section is financially balanced and was developed to achieve several objectives. The Commission’s primary highway investment objective is stewardship (i.e. safety, maintenance and preservation) of Iowa’s existing highway system. The highway section includes an annual average of $104 million for preserving the interstate system; an annual average of $78 million for non-interstate pavement preservation; an annual average of $36 million for non-interstate bridges; and an annual average of $14 million for safety projects. Another objective is to maintain the scheduled completion of interstate and non-interstate capacity and economic development projects that were identified in the previous Program and this Program does so. The final Commission objective is to further address capacity and economic development needs and the Commission has done so by adding several such projects to the Program. Construction improvements are partially funded through the current federal transportation act, Safe, Accountable, Flexible, Efficient Transportation Equity Act: A Legacy for Users (SAFETEA-LU). The act will expire September 30, 2009. With the expiration of SAFETEA-LU, there is significant uncertainty in the forecast of federal revenues in the out-years of this Program. The Commission and Iowa DOT will monitor federal actions closely and make adjustments to the Program as necessary. The Iowa DOT and Commission appreciate the public’s involvement in the state’s transportation planning process. Comments received personally, by letter, or through participation in the Commission’s regular meetings or public input meetings held around the state each year are invaluable in providing guidance for the future of Iowa’s transportation system. It should be noted that this document is a planning guide. It does not represent a binding commitment or obligation of the Commission or Iowa DOT, and is subject to change. You are invited to visit the Iowa DOT’s Web site at iowadot.gov for additional and regular updates about the department’s programs and activities.

Iowa DOT Quick Tour, May 12, 2009

The DOT, created by the Iowa Legislature, began operating July 1,1975. The newly formed Department of Transportation had a staff of 4,568 full-time equivalents (FTEs). These employees and their responsibilities came from the Highway Commission, Reciprocity Board, Aeronautics Commission, and parts of the Commerce Commission, Department of Revenue and Finance, Department of Public Safety and the Energy Policy Council. The DOT continually looks at ways to become more efficient in serving our customers. As a result the current workforce equals approximately 3,049 full-time employees. The seven transportation commissioners set policy for the department and are appointed by the governor, with no more than four from one political party. Membership on the commission is gender-balanced. Commissioners are confirmed by the Iowa Senate and serve on a staggered basis for four-year terms. Commission meetings are usually held monthly in Ames. The meetings are open to the public and follow a printed agenda.

Statistical learning theory for geospatial data. Case study: Aral sea

In recent years there has been an explosive growth in the development of adaptive and data driven methods. One of the efficient and data-driven approaches is based on statistical learning theory (Vapnik 1998). The theory is based on Structural Risk Minimisation (SRM) principle and has a solid statistical background. When applying SRM we are trying not only to reduce training error ? to fit the available data with a model, but also to reduce the complexity of the model and to reduce generalisation error. Many nonlinear learning procedures recently developed in neural networks and statistics can be understood and interpreted in terms of the structural risk minimisation inductive principle. A recent methodology based on SRM is called Support Vector Machines (SVM). At present SLT is still under intensive development and SVM find new areas of application (www.kernel-machines.org). SVM develop robust and non linear data models with excellent generalisation abilities that is very important both for monitoring and forecasting. SVM are extremely good when input space is high dimensional and training data set i not big enough to develop corresponding nonlinear model. Moreover, SVM use only support vectors to derive decision boundaries. It opens a way to sampling optimization, estimation of noise in data, quantification of data redundancy etc. Presentation of SVM for spatially distributed data is given in (Kanevski and Maignan 2004).

Basis set effects on the energy and hardness profiles of the hydrogen fluoride dimer

In earlier work, the present authors have shown that hardness profiles are less dependent on the level of calculation than energy profiles for potential energy surfaces (PESs) having pathological behaviors. At variance with energy profiles, hardness profiles always show the correct number of stationary points. This characteristic has been used to indicate the existence of spurious stationary points on the PESs. In the present work, we apply this methodology to the hydrogen fluoride dimer, a classical difficult case for the density functional theory methods

An Efficient Nominal Unification Algorithm

Nominal Unification is an extension of first-order unification where terms can contain binders and unification is performed modulo α equivalence. Here we prove that the existence of nominal unifiers can be decided in quadratic time. First, we linearly-reduce nominal unification problems to a sequence of freshness and equalities between atoms, modulo a permutation, using ideas as Paterson and Wegman for first-order unification. Second, we prove that solvability of these reduced problems may be checked in quadràtic time. Finally, we point out how using ideas of Brown and Tarjan for unbalanced merging, we could solve these reduced problems more efficiently

Cutting edge: cyclic polypeptide and aminoglycoside antibiotics trigger IL-1β secretion by activating the NLRP3 inflammasome.

Clinical use of antibiotics is based on their capacity to inhibit bacterial growth via bacteriostatic or bacteriocidal effects. In this article, we show that the aminoglycoside antibiotic neomycin, the cyclic lipopeptide antibiotic polymyxin B, and the cyclic peptide antibiotics gramicidin and tyrothricin can induce IL-1β secretion in bone marrow dendritic cells and macrophages. LPS priming was required to trigger the transcription and translation of pro-IL-1β but was independent of TNFR or IL-1R signaling. All four antibiotics required the NLRP3 inflammasome, the adaptor ASC, and caspase-1 activation to secrete IL-1β, a process that depended on potassium efflux but was independent of P2X7 receptor. All four antibiotics induced neutrophil influx into the peritoneal cavity of mice, which required NLRP3 only in the case of polymyxin B. Together, certain antibiotics have the potential to directly activate innate immunity of the host.

Shaping the interaction landscape of bioactive molecules.

MOTIVATION: Most bioactive molecules perform their action by interacting with proteins or other macromolecules. However, for a significant fraction of them, the primary target remains unknown. In addition, the majority of bioactive molecules have more than one target, many of which are poorly characterized. Computational predictions of bioactive molecule targets based on similarity with known ligands are powerful to narrow down the number of potential targets and to rationalize side effects of known molecules. RESULTS: Using a reference set of 224 412 molecules active on 1700 human proteins, we show that accurate target prediction can be achieved by combining different measures of chemical similarity based on both chemical structure and molecular shape. Our results indicate that the combined approach is especially efficient when no ligand with the same scaffold or from the same chemical series has yet been discovered. We also observe that different combinations of similarity measures are optimal for different molecular properties, such as the number of heavy atoms. This further highlights the importance of considering different classes of similarity measures between new molecules and known ligands to accurately predict their targets. CONTACT: olivier.michielin@unil.ch or vincent.zoete@unil.ch SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

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This contribution introduces Data Envelopment Analysis (DEA), a performance measurement technique. DEA helps decision makers for the following reasons: (1) By calculating an efficiency score, it indicates if a firm is efficient or has capacity for improvement; (2) By setting target values for input and output, it calculates how much input must be decreased or output increased in order to become efficient; (3) By identifying the nature of returns to scale, it indicates if a firm has to decrease or increase its scale (or size) in order to minimise the average total cost; (4) By identifying a set of benchmarks, it specifies which other firms' processes need to be analysed in order to improve its own practices. This contribution presents the essentials about DEA, alongside a case study to intuitively understand its application. It also introduces Win4DEAP, a software package that conducts efficiency analysis based on DEA methodology. The methodical background of DEA is presented for more demanding readers. Finally, four advanced topics of DEA are treated: adjustment to the environment, preferences, sensitivity analysis and time series data.

Xarxa digital multimèdia de pantalles i kioscs interactius

Internet s’ha alçat en poc temps com el mitjà més utilitzat pels turistes per a planificar, organitzar i comprar un viatge, és per això que es proposa donar les mateixes facilitats en el destí. La Publicitat Dinàmica o “Digital Signage” és un nou servei de comunicació que consisteix en un conjunt de tecnologies i aplicacions informàtiques que permeten emetre missatges multimèdia i comunicar-se així d’una manera innovadora amb el públic objectiu de cada empresa, si s’afegeix un sistema independent, multimèdia i interactiu que pot utilitzar-se per a proporcionar informació i/o permetre la realització de transaccions es potencia al màxim el servei. D’aquesta manera es proposa crear una Xarxa Digital Multimèdia de Kioscs Interactius recolzats amb una pantalla de plasma per a la tecnologia Digital Signage. La ubicació escollida estratègicament és en un dels punts de major afluència turística, tal com l’entrada dels hotels. Així es tracta de crear circuits tancats en àrees geogràfiques on es troben els principals nuclis turístics de Mallorca. La possibilitat d’accedir a segments de població altament interessants per al producte o servei es multiplica al ser una manera fàcil, eficaç i altament suggestiva de promocionar el què es pretén. Un avantatge és la simplicitat de la infraestructura tecnològica que es necessita, el dispositiu mitjançant el qual es visualitzaran els missatges serà una pantalla de plasma convencional, i un terminal de punt de venda instal.lat en un lloc de pas. Cada mòdul està connectat a la xarxa ADSL mitjançant un servidor local a Internet. La connexió a la xarxa és imprescindible per a que el manteniment i actualització dels continguts es puguin efectuar remotament. L’objectiu principal d’aquest treball és estudiar la viabilitat de la implantació de la xarxa, mitjançant la realització d’un estudi de mercat on s’analitzen els grups claus per a la implantació: els hotelers, la indústria turística i el Govern Balear. S’identifiquen els beneficis que aportarà al nou servei i les repercussions que tendrà la seva instal.lació. Entre els resultats més destacats d’aquest estudi cal remarcar l’acceptació que ha tengut la idea entre els hotelers entrevistats i la resposta positiva de la indústria turística. Es reconeix: una millora de la imatge del sector, l’ús com a eina de promoció turística pel Govern, i la contribució a la sostenibilitat econòmica pel fet que augmenta la competitivitat de les empreses i això millora la qualitat del servei.

Efficient T cell activation requires an optimal dwell-time of interaction between the TCR and the pMHC complex.

Cytotoxic T cell (CTL) activation by antigen requires the specific detection of peptide-major histocompatibility class I (pMHC) molecules on the target-cell surface by the T cell receptor (TCR). We examined the effect of mutations in the antigen-binding site of a Kb-restricted TCR on T cell activation, antigen binding and dissociation from antigen.These parameters were also examined for variants derived from a Kd-restricted peptide that was recognized by a CTL clone. Using these two independent systems, we show that T cell activation can be impaired by mutations that either decrease or increase the binding half-life of the TCR-pMHC interaction. Our data indicate that efficient T cell activation occurs within an optimal dwell-time range of TCR-pMHC interaction. This restricted dwell-time range is consistent with the exclusion of either extremely low or high affinity T cells from the expanded population during immune responses.

Saponins from the Spanish saffron Crocus sativus are efficient adjuvants for protein-based vaccines.

Protein and peptide-based vaccines provide rigorously formulated antigens. However, these purified products are only weakly immunogenic by themselves and therefore require the addition of immunostimulatory components or adjuvants in the vaccine formulation. Various compounds derived from pathogens, minerals or plants, possess pro-inflammatory properties which allow them to act as adjuvants and contribute to the induction of an effective immune response. The results presented here demonstrate the adjuvant properties of novel saponins derived from the Spanish saffron Crocus sativus. In vivo immunization studies and tumor protection experiments unambiguously establish the value of saffron saponins as candidate adjuvants. These saponins were indeed able to increase both humoral and cellular immune responses to protein-based vaccines, ultimately providing a significant degree of protection against tumor challenge when administered in combination with a tumor antigen. This preclinical study provides an in depth immunological characterization of a new saponin as a vaccine adjuvant, and encourages its further development for use in vaccine formulations.

Fission yeast rad51 and dmc1, two efficient DNA recombinases forming helical nucleoprotein filaments.

Homologous recombination is important for the repair of double-strand breaks during meiosis. Eukaryotic cells require two homologs of Escherichia coli RecA protein, Rad51 and Dmc1, for meiotic recombination. To date, it is not clear, at the biochemical level, why two homologs of RecA are necessary during meiosis. To gain insight into this, we purified Schizosaccharomyces pombe Rad51 and Dmc1 to homogeneity. Purified Rad51 and Dmc1 form homo-oligomers, bind single-stranded DNA preferentially, and exhibit DNA-stimulated ATPase activity. Both Rad51 and Dmc1 promote the renaturation of complementary single-stranded DNA. Importantly, Rad51 and Dmc1 proteins catalyze ATP-dependent strand exchange reactions with homologous duplex DNA. Electron microscopy reveals that both S. pombe Rad51 and Dmc1 form nucleoprotein filaments. Rad51 formed helical nucleoprotein filaments on single-stranded DNA, whereas Dmc1 was found in two forms, as helical filaments and also as stacked rings. These results demonstrate that Rad51 and Dmc1 are both efficient recombinases in lower eukaryotes and reveal closer functional and structural similarities between the meiotic recombinase Dmc1 and Rad51. The DNA strand exchange activity of both Rad51 and Dmc1 is most likely critical for proper meiotic DNA double-strand break repair in lower eukaryotes.

An Efficient Segmentation Method for Ultrasound Images based on a Semi-supervised Approach and Patch-based Features

Segmenting ultrasound images is a challenging problemwhere standard unsupervised segmentation methods such asthe well-known Chan-Vese method fail. We propose in thispaper an efficient segmentation method for this class ofimages. Our proposed algorithm is based on asemi-supervised approach (user labels) and the use ofimage patches as data features. We also consider thePearson distance between patches, which has been shown tobe robust w.r.t speckle noise present in ultrasoundimages. Our results on phantom and clinical data show avery high similarity agreement with the ground truthprovided by a medical expert.

Construction and electrophoretic migration of single-stranded DNA knots and catenanes.

In recent years there has been growing interest in the question of how the particular topology of polymeric chains affects their overall dimensions and physical behavior. The majority of relevant studies are based on numerical simulation methods or analytical treatment; however, both these approaches depend on various assumptions and simplifications. Experimental verification is clearly needed but was hampered by practical difficulties in obtaining preparative amounts of knotted or catenated polymers with predefined topology and precisely set chain length. We introduce here an efficient method of production of various single-stranded DNA knots and catenanes that have the same global chain length. We also characterize electrophoretic migration of the produced single-stranded DNA knots and catenanes with increasing complexity.