Search

A fast and environmentally-friendly methodology has been developed by in situ synthesis of gold nanoparticles (AuNPs) on thermosensitive liposomes in different phase-states, obtaining nanohybrids with controllable and tunable plasmon modes within the visible/near-infrared region. Lipid phase, charge and synthesis temperature influence the final arrangement of AuNPs, so when the synthesis is performed on zwitterionic liposomes in fluid phase, discrete AuNPs with plasmon peaks in the visible region are obtained, while in gel phase AuNPs tend to aggregate forming nanoclusters, leading to plasmon bands gradually shifted to the infrared as the synthesis temperature decreases. The formed nanohybrids retain the physical properties of the liposomes (fluidity, degree of hydration, cooperativity) by maintaining the transition temperature in the mild-hyperthermia range, while preserving their light-to-heat conversion properties. Therefore, these nanohybrids can be considered excellent candidates as versatile photothermal agents with controlled drug delivery capacity, being powerful tools for light-mediated therapies.

This work describes the development and characterization of fluorescent nanocomposite hydrogels, with high swelling and absorption capacity, and prepared using a green protocol. These fluorescent materials are obtained by incorporating, for the first time, polyfluorenes-based nanoparticles with different emission bands—poly[9,9-dioctylfluorenyl-2,7-diyl] (PFO) and poly[(9,9-di-n-octylfluorenyl-2,7-diyl)-alt-(1,4-benzo-{2,1,3}-thiadiazole)] (F8BT)—into a three-dimensional polymeric network based on polyacrylamide. To this end, two strategies were explored: incorporation of the nanoparticles during the polymerization process (in situ) and embedment after the hydrogel formation (ex situ). The results show that the combination of PFO nanoparticles introduced by the ex situ method provided materials with good storage stability, homogeneity and reproducibility properties, allowing their preservation in the form of xerogel. The fluorescent nanocomposite hydrogels have been tested as a transportable and user-friendly sensing platform. In particular, the ability of these materials to specifically detect the enzyme alkaline phosphatase (ALP) has been evaluated as a proof-of-concept. The sensor was able to quantify the presence of the enzyme in an aqueous sample with a response time of 10 min and LOD of 21 nM. Given these results, we consider that this device shows great potential for quantifying physiological ALP levels as well as enzyme activity in environmental samples.

Persistence is an important characteristic of many complex systems in nature, related to how long the system remains at a certain state before changing to a different one. The study of complex systems' persistence involves different definitions and uses different techniques, depending on whether short-term or long-term persistence is considered. In this paper we discuss the most important definitions, concepts, methods, literature and latest results on persistence in complex systems. Firstly, the most used definitions of persistence in short-term and long-term cases are presented. The most relevant methods to characterize persistence are then discussed in both cases. A complete literature review is also carried out. We also present and discuss some relevant results on persistence, and give empirical evidence of performance in different detailed case studies, for both short-term and long-term persistence. A perspective on the future of persistence concludes the work.

[EN] This contribution presents afield study in which the long-term behaviour of two a-Si photovoltaic plants is studied. Two grid-connected a-Si:H photovoltaic plants located in Valencia (Spain) have been monitored during their first eight years of operation under real outdoor conditions. A per-unit approachand an STC normalisation have been made to analyse and compare photovoltaic plants with differences in electrical characteristics. An averaging process of the filtered and normalised data produces a monthly averaged value that is used to evaluate the ageing and seasonal effects experienced by the two photovoltaic plants. An analysis of the variations in the per unit output power finds that a seasonal effect is superimposed on the long-term stabilisation process. The study concludes that the long-term average stabilisation factor is equal to 1,35% per year, with a seasonal effect that shows a sinusoidal variation with an average amplitude of the sinusoidal oscillation equal to 2,71% per year. An estimation of the energy yield is performed considering the different ageing approaches presented in the study. Using the factors obtained from the experimental values, the ageing and seasonal effects are modelized, and a linear and an exponential expression is proposed to fit the long-term behaviour of both a-Si photovoltaic plants. Results obtained with the statistical analysis are compared with the experimental data and it is found that the exponential behaviour matches the experimental values.

[EN] This contribution presents afield study in which the long-term behaviour of two a-Si photovoltaic plants is studied. Two grid-connected a-Si:H photovoltaic plants located in Valencia (Spain) have been monitored during their first eight years of operation under real outdoor conditions. A per-unit approachand an STC normalisation have been made to analyse and compare photovoltaic plants with differences in electrical characteristics. An averaging process of the filtered and normalised data produces a monthly averaged value that is used to evaluate the ageing and seasonal effects experienced by the two photovoltaic plants. An analysis of the variations in the per unit output power finds that a seasonal effect is superimposed on the long-term stabilisation process. The study concludes that the long-term average stabilisation factor is equal to 1,35% per year, with a seasonal effect that shows a sinusoidal variation with an average amplitude of the sinusoidal oscillation equal to 2,71% per year. An estimation of the energy yield is performed considering the different ageing approaches presented in the study. Using the factors obtained from the experimental values, the ageing and seasonal effects are modelized, and a linear and an exponential expression is proposed to fit the long-term behaviour of both a-Si photovoltaic plants. Results obtained with the statistical analysis are compared with the experimental data and it is found that the exponential behaviour matches the experimental values.

Persistence is an important characteristic of many complex systems in nature, related to how long the system remains at a certain state before changing to a different one. The study of complex systems' persistence involves different definitions and uses different techniques, depending on whether short-term or long-term persistence is considered. In this paper we discuss the most important definitions, concepts, methods, literature and latest results on persistence in complex systems. Firstly, the most used definitions of persistence in short-term and long-term cases are presented. The most relevant methods to characterize persistence are then discussed in both cases. A complete literature review is also carried out. We also present and discuss some relevant results on persistence, and give empirical evidence of performance in different detailed case studies, for both short-term and long-term persistence. A perspective on the future of persistence concludes the work.

Life course-informed theories of development suggest it is important to integrate information about positive and negative aspects of the social environment into studies of child and parental wellbeing, including both stressors that compromise health and resources that promote well-being. We recruited a sample of 169 pairs of caregivers and young children (birth to 5 years) from a community health clinic and administered survey questions to assess stressors and resources. We constructed inventories of stressors and resources and examined the relationships between these inventories and caregivers' depressive symptoms, anxiety symptoms, and sleep problems, and young children's medical diagnoses derived from electronic health records. Cumulative stressors and resources displayed bivariate and adjusted associations with caregivers' depressive symptoms, anxiety symptoms, and sleep problems. For depressive and anxiety symptoms, these associations were evident in models that included stressors and resources together. Caregivers with high stressors and low resources displayed the highest levels of depressive and anxiety symptoms and sleep problems. In terms of children's health outcomes, only modest trends were evident for developmental/mental health outcomes, but not other diagnostic categories. Future studies are needed to examine stressors and resources together in larger samples and in relation to prospectively assessed measures of child well-being.

The present work describes the development of an easy-to-use portable electrochemical biosensor based on alkaline phosphatase (ALP) as a recognition element, which has been immobilized in acrylamide-based hydrogels prepared through a green protocol over disposable screen-printed electrodes. To carry out the electrochemical transduction, an electroinactive substrate (hydroquinone diphosphate) was used in the presence of the enzyme and then it was hydrolyzed to an electroactive species (hydroquinone). The activity of the protein within the matrix was determined voltammetrically. Due to the adhesive properties of the hydrogel, this was easily deposited on the surface of the electrodes, greatly increasing the sensitivity of the biosensor. The device was optimized to allow the determination of phosphate ion, a competitive inhibitor of ALP, in aqueous media. Our study provides a proof-of-concept demonstrating the potential use of the developed biosensor for in situ, real-time measurement of water pollutants that act as ALP inhibitors.

Persistence is an important characteristic of many complex systems in nature, related to how long the system remains at a certain state before changing to a different one. The study of complex systems' persistence involves different definitions and uses different techniques, depending on whether short-term or long-term persistence is considered. In this paper we discuss the most important definitions, concepts, methods, literature and latest results on persistence in complex systems. Firstly, the most used definitions of persistence in short-term and long-term cases are presented. The most relevant methods to characterize persistence are then discussed in both cases. A complete literature review is also carried out. We also present and discuss some relevant results on persistence, and give empirical evidence of performance in different detailed case studies, for both short-term and long-term persistence. A perspective on the future of persistence concludes the work.

Ausforming treatments at different temperatures were applied to a medium Csingle bondSi rich carbide free bainitic steel, and the role of transformation plasticity on the evolution of the microstructure is discussed. Three ausforming temperatures were selected prior to isothermal bainite transformation at 325 °C. Deformation was applied above the bainite start temperature, BS, (600 °C), below BS (400 °C), and at the isothermal transformation temperature (325 °C). A combination of high-resolution dilatometry, XRD, SEM, and EBSD was used to investigate phase changes, microstructure evolution, and variant selections for the different ausforming conditions. The results indicated that the transformation rate was enhanced for all deformation conditions compared with the pure isothermal condition. Ausforming above BS did not modify the morphology of the carbide free microstructure, while ausforming below BS led to an asymmetrical morphology in the specimen. The alignment of the bainite plates can be at a random or a specific angle, depending on the supercooled austenite condition prior to the bainitic transformation. The thickness of the bainitic ferrite plates was refined to about 100 nm for the ausforming cycle at 325 °C resulting in a hardness of values of 540 HV. Transformation plasticity strains increased with increasing bainite transformation and were more intense with increasing microstructure alignment at the two lower ausforming temperatures. Texture studies revealed that both pure isothermal and ausforming at temperatures above BS resulted in an almost random texture, while a strong texture was obtained when ausforming below BS, a which was attributed to variant selection.

The major strengthening mechanisms in bainitic steels arise from the bainitic ferrite plate thickness rather than the length, which primarily determines the mean free slip distance. Both the strength of the austenite from where the bainite grows and the driving force of the transformation, are the two factors controlling the final scale of the bainitic microstructure. Usually, those two parameters can be tailored by means of selection of chemical composition and transformation temperature. However, there is also the possibility of introducing plastic deformation on austenite and prior to the bainitic transformation as a way to enhance both the austenite strength and the driving force for the transformation; the latter by introducing a mechanical component to the free energy change. This process, known as ausforming, has awoken a great deal of interest and it is the object of ongoing research with two clear aims. First, an acceleration of the sluggish bainitic transformation observed typically in high C steels (0.7–1 wt. %) transformed at relatively low temperatures. Second, to extend the concept of nanostructured bainite from those of high C steels to much lower C contents, 0.4–0.5 wt. %, keeping a wider range of applications in view.

Angiosperms, http://name.umdl.umich.edu/IC-HERB00IC-X-1533826%5DMICH-V-1533826, https://quod.lib.umich.edu/cgi/i/image/api/thumb/herb00ic/1533826/MICH-V-1533826/!250,250, The University of Michigan Library provides access to these materials for educational and research purposes. Some materials may be protected by copyright. If you decide to use any of these materials, you are responsible for making your own legal assessment and securing any necessary permission. If you have questions about the collection, please contact the Herbarium professional staff: herb-dlps-help@umich.edu. If you have concerns about the inclusion of an item in this collection, please contact Library Information Technology: libraryit-info@umich.edu., https://www.lib.umich.edu/about-us/policies/copyright-policy

Angiosperms, http://name.umdl.umich.edu/IC-HERB00IC-X-1528154%5DMICH-V-1528154, https://quod.lib.umich.edu/cgi/i/image/api/thumb/herb00ic/1528154/MICH-V-1528154/!250,250, The University of Michigan Library provides access to these materials for educational and research purposes. Some materials may be protected by copyright. If you decide to use any of these materials, you are responsible for making your own legal assessment and securing any necessary permission. If you have questions about the collection, please contact the Herbarium professional staff: herb-dlps-help@umich.edu. If you have concerns about the inclusion of an item in this collection, please contact Library Information Technology: libraryit-info@umich.edu., https://www.lib.umich.edu/about-us/policies/copyright-policy

Angiosperms, http://name.umdl.umich.edu/IC-HERB00IC-X-1533826%5DMICH-V-1533826, https://quod.lib.umich.edu/cgi/i/image/api/thumb/herb00ic/1533826/MICH-V-1533826/!250,250, The University of Michigan Library provides access to these materials for educational and research purposes. Some materials may be protected by copyright. If you decide to use any of these materials, you are responsible for making your own legal assessment and securing any necessary permission. If you have questions about the collection, please contact the Herbarium professional staff: herb-dlps-help@umich.edu. If you have concerns about the inclusion of an item in this collection, please contact Library Information Technology: libraryit-info@umich.edu., https://www.lib.umich.edu/about-us/policies/copyright-policy

This paper evaluates the performance of different types of Regression Trees (RTs) in a real problem of very short-term wind speed prediction from measuring data in wind farms. RT is a solidly established methodology that, contrary to other soft-computing approaches, has been under-explored in problems of wind speed prediction in wind farms. In this paper we comparatively evaluate eight different types of RTs algorithms, and we show that they are able obtain excellent results in real problems of very short-term wind speed prediction, improving existing classical and soft-computing approaches such as multi-linear regression approaches, different types of neural networks and support vector regression algorithms in this problem.We also show that RTs have a very small computation time, that allows the retraining of the algorithms whenever new wind speed data are collected from the measuring towers.

This paper evaluates the performance of different types of Regression Trees (RTs) in a real problem of very short-term wind speed prediction from measuring data in wind farms. RT is a solidly established methodology that, contrary to other soft-computing approaches, has been under-explored in problems of wind speed prediction in wind farms. In this paper we comparatively evaluate eight different types of RTs algorithms, and we show that they are able obtain excellent results in real problems of very short-term wind speed prediction, improving existing classical and soft-computing approaches such as multi-linear regression approaches, different types of neural networks and support vector regression algorithms in this problem.We also show that RTs have a very small computation time, that allows the retraining of the algorithms whenever new wind speed data are collected from the measuring towers.

This paper evaluates the performance of different types of Regression Trees (RTs) in a real problem of very short-term wind speed prediction from measuring data in wind farms. RT is a solidly established methodology that, contrary to other soft-computing approaches, has been under-explored in problems of wind speed prediction in wind farms. In this paper we comparatively evaluate eight different types of RTs algorithms, and we show that they are able obtain excellent results in real problems of very short-term wind speed prediction, improving existing classical and soft-computing approaches such as multi-linear regression approaches, different types of neural networks and support vector regression algorithms in this problem.We also show that RTs have a very small computation time, that allows the retraining of the algorithms whenever new wind speed data are collected from the measuring towers.

This paper evaluates the performance of different types of Regression Trees (RTs) in a real problem of very short-term wind speed prediction from measuring data in wind farms. RT is a solidly established methodology that, contrary to other soft-computing approaches, has been under-explored in problems of wind speed prediction in wind farms. In this paper we comparatively evaluate eight different types of RTs algorithms, and we show that they are able obtain excellent results in real problems of very short-term wind speed prediction, improving existing classical and soft-computing approaches such as multi-linear regression approaches, different types of neural networks and support vector regression algorithms in this problem.We also show that RTs have a very small computation time, that allows the retraining of the algorithms whenever new wind speed data are collected from the measuring towers.

The stability of hen's egg white lysozyme in different choline chloride-based pseudo-concentrated and neat deep eutectic solvents (DESs) has been studied by means of intrinsic fluorescence and CD spectroscopy. Thermal unfolding experiments carried out in non-diluted urea:choline chloride and glycerol:choline chloride eutectic solvents (UCCl-DES and GCCl-DES, respectively) showed the accumulation at certain temperatures of discrete, partially folded intermediates that displayed a high content of secondary structure and a disrupted tertiary structure. Reversibility of the unfolding process was incomplete in these circumstances, with the urea-based DES showing higher protein structure destabilization upon thermal treatment. On the other hand, aqueous dilution of the eutectic mixtures allowed the recovery of a reversible, two-state denaturation process. Lysozyme activity was also affected in neat and pseudo-concentrated GCCl-DES, with an increasing recovery of activity upon aqueous dilution, and full restoration after DES removal through extensive dialysis. These results suggest that protein interactions at room temperature are reversible and depend on the DES components and on the aqueous content of the original DES dilution. © 2013 the Owner Societies.

[EN] Dual-specificity phosphatases (DSPs) constitute a large protein tyrosine phosphatase (PTP) family, with examples in distant evolutive phyla. PFA-DSPs (Plant and Fungi Atypical DSPs) are a group of atypical DSPs present in plants, fungi, kinetoplastids, and slime molds, the members of which share structural similarity with atypical- and lipid phosphatase DSPs from mammals. The analysis of the PFA-DSPs from the plant Arabidopsis thaliana (AtPFA-DSPs) showed differential tissue mRNA expression, substrate specificity, and catalytic activity for these proteins, suggesting different functional roles among plant PFA-DSPs. Bioinformatic analysis revealed the existence of novel PFA-DSP-related proteins in fungi (Oca1, Oca2, Oca4 and Oca6 in Saccharomyces cerevisiae) and protozoa, which were segregated from plant PFADSPs. The closest yeast homolog for these proteins was the PFA-DSP from S. cerevisiae ScPFA-DSP1/Siw14/Oca3. Oca1, Oca2, Siw14/Oca3, Oca4, and Oca6 were involved in the yeast response to caffeine and rapamycin stresses. Siw14/Oca3 was an active phosphatase in vitro, whereas no phosphatase activity could be detected for Oca1. Remarkably, overexpression of Siw14/Oca3 suppressed the caffeine sensitivity of oca1, oca2, oca4, and oca6 deleted strains, indicating a genetic linkage and suggesting a functional relationship for these proteins. Functional studies on mutations targeting putative catalytic residues from the A. thaliana AtPFA-DSP1/At1g05000 protein indicated the absence of canonical amino acids acting as the general acid/base in the phosphor-ester hydrolysis, which suggests a specific mechanism of reaction for PFA-DSPs and related enzymes. Our studies demonstrate the existence of novel phosphatase protein families in fungi and protozoa, with active and inactive enzymes linked in common signaling pathways. This illustrates the catalytic and functional complexity of the expanding family of atypical dual-specificity phosphatases in non-metazoans, including p

[EN] Dual-specificity phosphatases (DSPs) constitute a large protein tyrosine phosphatase (PTP) family, with examples in distant evolutive phyla. PFA-DSPs (Plant and Fungi Atypical DSPs) are a group of atypical DSPs present in plants, fungi, kinetoplastids, and slime molds, the members of which share structural similarity with atypical- and lipid phosphatase DSPs from mammals. The analysis of the PFA-DSPs from the plant Arabidopsis thaliana (AtPFA-DSPs) showed differential tissue mRNA expression, substrate specificity, and catalytic activity for these proteins, suggesting different functional roles among plant PFA-DSPs. Bioinformatic analysis revealed the existence of novel PFA-DSP-related proteins in fungi (Oca1, Oca2, Oca4 and Oca6 in Saccharomyces cerevisiae) and protozoa, which were segregated from plant PFADSPs. The closest yeast homolog for these proteins was the PFA-DSP from S. cerevisiae ScPFA-DSP1/Siw14/Oca3. Oca1, Oca2, Siw14/Oca3, Oca4, and Oca6 were involved in the yeast response to caffeine and rapamycin stresses. Siw14/Oca3 was an active phosphatase in vitro, whereas no phosphatase activity could be detected for Oca1. Remarkably, overexpression of Siw14/Oca3 suppressed the caffeine sensitivity of oca1, oca2, oca4, and oca6 deleted strains, indicating a genetic linkage and suggesting a functional relationship for these proteins. Functional studies on mutations targeting putative catalytic residues from the A. thaliana AtPFA-DSP1/At1g05000 protein indicated the absence of canonical amino acids acting as the general acid/base in the phosphor-ester hydrolysis, which suggests a specific mechanism of reaction for PFA-DSPs and related enzymes. Our studies demonstrate the existence of novel phosphatase protein families in fungi and protozoa, with active and inactive enzymes linked in common signaling pathways. This illustrates the catalytic and functional complexity of the expanding family of atypical dual-specificity phosphatases in non-metazoans, including p

In this paper we propose an evolutionary method of association rules discovery (EQAR, Evolutionary Quan titative Association Rules) that extends a recently published algorithm by the authors and we describe its ap plication to a problem of Total Ozone Content (TOC) modeling in the Iberian Peninsula. We use TOC data from the Total Ozone Mapping Spectrometer (TOMS) on board the NASA Nimbus-7 satellite measured at three lo cations (Lisbon, Madrid and Murcia) of the Iberian Peninsula. As prediction variables for the association rules we consider several meteorological variables, such as Outgoing Long-wave Radiation (OLR), Temperature at 50 hPa level, Tropopause height, and wind vertical velocity component at 200 hPa. We show that the best as sociation rules obtained by EQAR are able to accurate modeling the TOC data in the three locations consid ered, providing results which agree to previous works in the literature

In this paper we propose an evolutionary method of association rules discovery (EQAR, Evolutionary Quan titative Association Rules) that extends a recently published algorithm by the authors and we describe its ap plication to a problem of Total Ozone Content (TOC) modeling in the Iberian Peninsula. We use TOC data from the Total Ozone Mapping Spectrometer (TOMS) on board the NASA Nimbus-7 satellite measured at three lo cations (Lisbon, Madrid and Murcia) of the Iberian Peninsula. As prediction variables for the association rules we consider several meteorological variables, such as Outgoing Long-wave Radiation (OLR), Temperature at 50 hPa level, Tropopause height, and wind vertical velocity component at 200 hPa. We show that the best as sociation rules obtained by EQAR are able to accurate modeling the TOC data in the three locations consid ered, providing results which agree to previous works in the literature

In this paper we propose an evolutionary method of association rules discovery (EQAR, Evolutionary Quan titative Association Rules) that extends a recently published algorithm by the authors and we describe its ap plication to a problem of Total Ozone Content (TOC) modeling in the Iberian Peninsula. We use TOC data from the Total Ozone Mapping Spectrometer (TOMS) on board the NASA Nimbus-7 satellite measured at three lo cations (Lisbon, Madrid and Murcia) of the Iberian Peninsula. As prediction variables for the association rules we consider several meteorological variables, such as Outgoing Long-wave Radiation (OLR), Temperature at 50 hPa level, Tropopause height, and wind vertical velocity component at 200 hPa. We show that the best as sociation rules obtained by EQAR are able to accurate modeling the TOC data in the three locations consid ered, providing results which agree to previous works in the literature

In this paper we propose an evolutionary method of association rules discovery (EQAR, Evolutionary Quan titative Association Rules) that extends a recently published algorithm by the authors and we describe its ap plication to a problem of Total Ozone Content (TOC) modeling in the Iberian Peninsula. We use TOC data from the Total Ozone Mapping Spectrometer (TOMS) on board the NASA Nimbus-7 satellite measured at three lo cations (Lisbon, Madrid and Murcia) of the Iberian Peninsula. As prediction variables for the association rules we consider several meteorological variables, such as Outgoing Long-wave Radiation (OLR), Temperature at 50 hPa level, Tropopause height, and wind vertical velocity component at 200 hPa. We show that the best as sociation rules obtained by EQAR are able to accurate modeling the TOC data in the three locations consid ered, providing results which agree to previous works in the literature

Dual-specificity phosphatases (DSPs) constitute a large protein tyrosine phosphatase (PTP) family, with examples in distant evolutive phyla. PFA-DSPs (Plant and Fungi Atypical DSPs) are a group of atypical DSPs present in plants, fungi, kinetoplastids, and slime molds, the members of which share structural similarity with atypical- and lipid phosphatase DSPs from mammals. The analysis of the PFA-DSPs from the plant Arabidopsis thaliana (AtPFA-DSPs) showed differential tissue mRNA expression, substrate specificity, and catalytic activity for these proteins, suggesting different functional roles among plant PFA-DSPs. Bioinformatic analysis revealed the existence of novel PFA-DSP-related proteins in fungi (Oca1, Oca2, Oca4 and Oca6 in Saccharomyces cerevisiae) and protozoa, which were segregated from plant PFA-DSPs. The closest yeast homolog for these proteins was the PFA-DSP from S. cerevisiae ScPFA-DSP1/Siw14/Oca3. Oca1, Oca2, Siw14/Oca3, Oca4, and Oca6 were involved in the yeast response to caffeine and rapamycin stresses. Siw14/Oca3 was an active phosphatase in vitro, whereas no phosphatase activity could be detected for Oca1. Remarkably, overexpression of Siw14/Oca3 suppressed the caffeine sensitivity of oca1, oca2, oca4, and oca6 deleted strains, indicating a genetic linkage and suggesting a functional relationship for these proteins. Functional studies on mutations targeting putative catalytic residues from the A. thaliana AtPFA-DSP1/At1g05000 protein indicated the absence of canonical amino acids acting as the general acid/base in the phosphor-ester hydrolysis, which suggests a specific mechanism of reaction for PFA-DSPs and related enzymes. Our studies demonstrate the existence of novel phosphatase protein families in fungi and protozoa, with active and inactive enzymes linked in common signaling pathways. This illustrates the catalytic and functional complexity of the expanding family of atypical dual-specificity phosphatases in non-metazoans, including paras

This report is the output of a consultation process of various major stakeholders in the biometric community to identify the future biometrical research issues, an activity which employed not only researchers but representatives from the entire biometrical community, consisting of governments, industry, citizens and academia. It is one of the main efforts of the BioSecure Network of Excellence to define the agenda for future biometrical research, including systems and applications scenarios.

Model organisms have emerged as suitable and reliable biological tools to study the properties of proteins whose function is altered in human disease. In the case of the PI3K and PTEN human cancer-related proteins, several vertebrate and invertebrate models, including mouse, fly, worm and amoeba, have been exploited to obtain relevant functional information that has been conserved from these organisms to humans along evolution. The yeast Saccharomyces cerevisiae is an eukaryotic unicellular organism that lacks a canonical mammalian-like PI3K/PTEN pathway and PIP3 as a physiological second messenger, PIP2 being essential for its life. The mammalian PI3K/PTEN pathway can be reconstituted in S. cerevisiae, generating growth alteration phenotypes that can be easily monitored to perform in vivo functional analysis of the molecular constituents of this pathway. Here, we review the current nonmammalian model systems to study PTEN function, summarize our knowledge of PTEN orthologs in yeast species and propose the yeast S. cerevisiae as a sensitive biological sensor of PI3K oncogenicity and PTEN tumor suppressor activity., Model organisms have emerged as suitable and reliable biological tools to study the properties of proteins whose function is altered in human disease. In the case of the PI3K and PTEN human cancer-related proteins, several vertebrate and invertebrate models, including mouse, fly, worm and amoeba, have been exploited to obtain relevant functional information that has been conserved from these organisms to humans along evolution. The yeast Saccharomyces cerevisiae is an eukaryotic unicellular organism that lacks a canonical mammalian-like PI3K/PTEN pathway and PIP3 as a physiological second messenger, PIP2 being essential for its life. The mammalian PI3K/PTEN pathway can be reconstituted in S. cerevisiae, generating growth alteration phenotypes that can be easily monitored to perform in vivo functional analysis of the molecular constituents of this pathway. Here, we review the current nonmammalian model systems to study PTEN function, summarize our knowledge of PTEN orthologs in yeast species and propose the yeast S. cerevisiae as a sensitive biological sensor of PI3K oncogenicity and PTEN tumor suppressor activity.

Model organisms have emerged as suitable and reliable biological tools to study the properties of proteins whose function is altered in human disease. In the case of the PI3K and PTEN human cancer-related proteins, several vertebrate and invertebrate models, including mouse, fly, worm and amoeba, have been exploited to obtain relevant functional information that has been conserved from these organisms to humans along evolution. The yeast Saccharomyces cerevisiae is an eukaryotic unicellular organism that lacks a canonical mammalian-like PI3K/PTEN pathway and PIP3 as a physiological second messenger, PIP2 being essential for its life. The mammalian PI3K/PTEN pathway can be reconstituted in S. cerevisiae, generating growth alteration phenotypes that can be easily monitored to perform in vivo functional analysis of the molecular constituents of this pathway. Here, we review the current nonmammalian model systems to study PTEN function, summarize our knowledge of PTEN orthologs in yeast species and propose the yeast S. cerevisiae as a sensitive biological sensor of PI3K oncogenicity and PTEN tumor suppressor activity., Model organisms have emerged as suitable and reliable biological tools to study the properties of proteins whose function is altered in human disease. In the case of the PI3K and PTEN human cancer-related proteins, several vertebrate and invertebrate models, including mouse, fly, worm and amoeba, have been exploited to obtain relevant functional information that has been conserved from these organisms to humans along evolution. The yeast Saccharomyces cerevisiae is an eukaryotic unicellular organism that lacks a canonical mammalian-like PI3K/PTEN pathway and PIP3 as a physiological second messenger, PIP2 being essential for its life. The mammalian PI3K/PTEN pathway can be reconstituted in S. cerevisiae, generating growth alteration phenotypes that can be easily monitored to perform in vivo functional analysis of the molecular constituents of this pathway. Here, we review the current nonmammalian model systems to study PTEN function, summarize our knowledge of PTEN orthologs in yeast species and propose the yeast S. cerevisiae as a sensitive biological sensor of PI3K oncogenicity and PTEN tumor suppressor activity.

This report is the output of a consultation process of various major stakeholders in the biometric community to identify the future biometrical research issues, an activity which employed not only researchers but representatives from the entire biometrical community, consisting of governments, industry, citizens and academia. It is one of the main efforts of the BioSecure Network of Excellence to define the agenda for future biometrical research, including systems and applications scenarios.

The invention relates to a method of preparing cross-linked enzyme particles using a cross-linking agent. According to the invention, the enzyme particles are formed and subsequently cross-linked using a cross-linking agent having at least n reactive groups where N>=3 and a molecular weight of >2,000 Da. The method according to the invention allows for obtaining enzyme particles having a higher enzyme activity than enzyme particles cross-linked according to the state of the art., Applied Sciences

The invention relates to a method of preparing cross-linked enzyme particles using a cross-linking agent. According to the invention, the enzyme particles are formed and subsequently cross-linked using a cross-linking agent having at least n reactive groups where N>=3 and a molecular weight of >2,000 Da. The method according to the invention allows for obtaining enzyme particles having a higher enzyme activity than enzyme particles cross-linked according to the state of the art., Applied Sciences