Time series prediction evolving Voronoi regions

Time series prediction is a complex problem that consists of forecasting the future behavior of a set of data with the only information of the previous data. The main problem is the fact that most of the time series that represent real phenomena include local behaviors that cannot be modelled by global approaches. This work presents a new procedure able to find predictable local behaviors, and thus, attaining a better level of total prediction. This new method is based on a division of the input space into Voronoi regions by means of Evolution Strategies. Our method has been tested using different time series domains. One of them that represents the water demand in a water tank, through a long period of time. The other two domains are well known examples of chaotic time series (Mackey-Glass) and natural phenomenon time series (Sunspot). Results prove that, in most of cases, the proposed algorithm obtain better results than other algorithms commonly used.     

Antecedents of construction project coalitions: a study of the Spanish construction industry

Research into the formation of alliances, relevant in the field of strategic management and especially, in the construction industry, is often explained in terms of interdependency and complementarities (exogenous factors). In contrast, the influence of a firm’s social relations networks (endogenous factors) has hardly been studied at all. Thus, a model is needed that includes both exogenous and endogenous factors as antecedents to the formation of strategic alliances in the construction industry. Cooperation in the construction sector is especially frequent, above all in public works programmes, as their scale requires coalitions of different‐sized firms. Accordingly, to explore how both exogenous and endogenous factors influence the formation of alliances, a social network analytical method—Multiple Regression Quadratic Assignment Procedure (MRQAP)—was applied to cooperative project coalitions in the Spanish public works construction sector from 2001–2007. Empirical findings confirm that construction companies form coalitions, principally on the basis of past alliances. Membership of business associations and groups is also a key factor, though the influence of geographic proximity is the most debatable result. In the construction industry, the formation of alliances is conditioned, among other factors, by previous social and economic relations that can generate the necessary information and trust for the selection of whichever partner is considered the most suitable for the development of the joint project.     

Increased HDL Size and Enhanced Apo A-I Catabolic Rates Are Associated With Doxorubicin-Induced Proteinuria in New Zealand White Rabbits

The catabolism and structure of high‐density lipoproteins (HDL) may be the determining factor of their atheroprotective properties. To better understand the role of the kidney in HDL catabolism, here we characterized HDL subclasses and the catabolic rates of apo A‐I in a rabbit model of proteinuria. Proteinuria was induced by intravenous administration of doxorubicin in New Zealand white rabbits (n = 10). HDL size and HDL subclass lipids were assessed by electrophoresis of the isolated lipoproteins. The catabolic rate of HDL‐apo A‐I was evaluated by exogenous radiolabelling with iodine‐131. Doxorubicin induced significant proteinuria after 4 weeks (4.47 ± 0.55 vs. 0.30 ± 0.02 g/L of protein in urine, P < 0.001) associated with increased uremia, creatininemia, and cardiotoxicity. Large HDL2b augmented significantly during proteinuria, whereas small HDL3b and HDL3c decreased compared to basal conditions. HDL2b, HDL2a, and HDL3a subclasses were enriched with triacylglycerols in proteinuric animals as determined by the triacylglycerol‐to‐phospholipid ratio; the cholesterol content in HDL subclasses remained unchanged. The fractional catabolic rate (FCR) of [¹³¹I]‐apo A‐I in the proteinuric rabbits was faster (FCR = 0.036 h^?1) compared to control rabbits group (FCR = 0.026 h^?1, P < 0.05). Apo E increased and apo A‐I decreased in HDL, whereas PON‐1 activity increased in proteinuric rabbits. Proteinuria was associated with an increased number of large HDL2b particles and a decreased number of small HDL3b and 3c. Proteinuria was also connected to an alteration in HDL subclass lipids, apolipoprotein content of HDL, high paraoxonase‐1 activity, and a rise in the fractional catabolic rate of the [¹³¹I]‐apo A‐I.     

Hair cell formation in cultures of dissociated cells from the vestibular sensory epithelium of the bullfrog

HYPOTHESIS: Bullfrog vestibular hair cells are capable of regenerating in vitro. BACKGROUND: Recent studies have established that sensory organs in the inner ear of vertebrates continue to produce hair cells after birth. However, the mechanisms responsible for the regulation of this process are not well understood. The current study reports the development of a novel method for the culture of dispersed cells from the bullfrog inner ear. METHODS: New hair cell formation in this in vitro preparation was shown by sequential photomicroscopy. Studies with the selective marker for mitotic activity 5-bromo-2-deoxyuridine (BrdU) were done to estimate the level of cell proliferation and to quantify postmitotic hair cell formation. Finally, confirmation of cell type was obtained by scanning electron microscopy and by the use of specific markers for hair cells. RESULTS: Once the optimal culture conditions were established in the initial experiments, the formation of new hair cells was directly visualized in all unstained live cultures and fixed preparations without exception. Asymmetric division of progenitor cells, with subsequent differentiation of one of the daughter cells into new hair cells, also was documented by photomicroscopy. Approximately 12% of the cells were labeled with BrdU, of which 6% were hair cells, showing that new hair cell formation was subsequent to mitotic division in vitro. The identity of newly formed hair cells was verified as follows: 1) morphologically by scanning electron microscopy; 2) by positive labeling with phalloidin-rhodamine, a marker for actin; and 3) by positive calmodulin immunocytochemistry. CONCLUSIONS: This study reports the development of an in vitro culture preparation in which undifferentiated epithelial cells proliferate to become new hair cells. Evidence is provided of division of hair cell progenitors and subsequent differentiation of the daughter cells as one of the mechanisms involved in new hair cell formation in the culture preparation. This newly developed cell culture technique provides a powerful tool for further study of the process of hair cell formation in the vestibular end organ.     

Corrosion performance of conducting polymer coatings applied on mild steel

Conducting polypyrrole electrodes were obtained by galvanostatic electropolymerisation on mild steel electrodes from an aqueous solution. The electrochemical response of the coated electrodes in doped and in undoped state was compared with bare mild steel electrodes. The undoped polypyrrole coated electrode offered a noticeable enhancement of protection against corrosion processes.     

Early dropout prediction using data mining: a case study with high school students

Early prediction of school dropout is a serious problem in education, but it is not an easy issue to resolve. On the one hand, there are many factors that can influence student retention. On the other hand, the traditional classification approach used to solve this problem normally has to be implemented at the end of the course to gather maximum information in order to achieve the highest accuracy. In this paper, we propose a methodology and a specific classification algorithm to discover comprehensible prediction models of student dropout as soon as possible. We used data gathered from 419 high schools students in Mexico. We carried out several experiments to predict dropout at different steps of the course, to select the best indicators of dropout and to compare our proposed algorithm versus some classical and imbalanced well‐known classification algorithms. Results show that our algorithm was capable of predicting student dropout within the first 4–6 weeks of the course and trustworthy enough to be used in an early warning system.     

The incorporation of quantum effects in enzyme kinetics modeling

We present an overview of new procedures for including quantum mechanical effects in enzyme kinetics. Quantum effects are included in three ways: (1) The electronic structure of the atoms in the catalytic center is treated quantum mechanically in order to calculate a realistic potential energy surface for the bond rearrangement process. (2) The discrete nature of quantum mechanical vibrational energies is incorporated in the treatment of nuclear motion for computing the potential of mean force. (3) Multidimensional tunneling contributions are included. These procedures are illustrated by applications to proton abstractions catalyzed by enolase and methylamine dehydrogenase and hydride-transfer reactions by alcohol dehydrogenase and xylose isomerase.     

Unsaturated polyester

Summary The polyesterification reaction between maleic anhydride and 1,5-pentanediol, using p-toluenesulphonic acid as catalyst, was carried out. The material was characterized spectroscopically and its molecular weight measured. Besides isomerization of maleate to fumarate, some sort of intramolecular ring closure between polymer end groups may be occurring, since there is little agreement between molecular weight measurements by end group analysis and gel permeation chromatography, and very weak absorption is observed for hydroxyl group.