Miracle-dz/UniFAR-FTUs huggingface dataset:
Oxide Formation, Morphology, and Nanohardness of Laser‐Patterned Steel Surfaces

A large variety of tribological research studies dealt with the effect of laser induced surface textures and the respective parameters such as depth, feature diameter, and area density on the tribological efficiency. However, only few studies have examined chemical and microstructural changes induced by the laser‐patterning process, which can have a significant impact on the tribological properties. The aim of this study is to analyze the surface chemistry of laser‐induced line‐like patterns with a structural wavelength of 18 mm on steel surfaces (AISI 304), i.e., oxide scale thickness and morphology, prior to and after laser processing. X‐ray photoelectron spectroscopy combined with an Argon ion sputtering facility was used to measure depth profiles of the iron‐ and chromium oxide layer. A subsequent analysis performed by atom probe tomography demonstrated that the laser interference patterning leads to an increased iron‐ and chromium oxide layer by a factor of 8 compared to the polished unpatterned reference surface and to a change in the oxide morphology from a solid solution in the reference to a layered structure in the laser‐patterned state. Nanoindentation experiments revealed that the nano‐hardness in the laser‐intensity maximum position is two times larger than in the reference position. Finally, hardness calculations assuming a bilayer model correlate the observed nano‐hardness with the measured surface chemistry.
Improvement of skeletal muscle performance in ageing by the metabolic modulator Trimetazidine

The loss of muscle mass (sarcopenia) and the associated reduced muscle strength are key limiting factors for elderly people's quality of life. Improving muscle performance does not necessarily correlate with increasing muscle mass. In fact, particularly in the elderly, the main explanation for muscle weakness is a reduction of muscle quality rather than a loss of muscle mass, and the main goal to be achieved is to increase muscle strength. The effectiveness of Trimetazidine (TMZ) in preventing muscle functional impairment during ageing was assessed in our laboratory.
Progress in Microtubular Solid Oxide Fuel Cells

The benefits of microtubular solid oxide fuel cells (SOFCs) are addressed, including increased power density, rapid start-up, and cycling performance. Several international developments are discussed, especially small portable applications, which demand fast start and multiple cycles. Extrusion is the main method for making microtubular SOFCs because improved structure and properties can result from better mixing of the component particles and coextrusion can integrate several cell components in one process step. When the tubes are <3 mm in diameter, it is shown that the power density and thermal shock resistance are much increased, with start-up in a few seconds rather than hours for planar designs, as demonstrated in a single-cell hand-held system running on butane. The problems of cycling, both thermal and redox, are then considered in detail. Thermal cycling degradation follows a fatigue curve whereas redox damage is linear with the number of cycles. New results are presented on thermal and redox cycling performance.
3D QSAR/CoMFA and CoMSIA Studies on Antileukemic Steroidal Esters Coupled with Conformationally Flexible Nitrogen Mustards

Thirty-eight antileukemic steroidal esters possessing conformationally flexible nitrogen mustards were studied, and the 3D QSAR/CoMFA and CoMSIA methodologies were applied in order to derive the correlation between their structure and the in vivo antileukemic activity. These compounds show significantly reduced toxicity and possibly increased bioavailability compared to free nitrogen mustards and therefore constitute potent antileukemic drugs. Both the CoMFA and CoMSIA studies gave similar results indicating that the steric effect and the hydrophobic/hydrophilic balance especially in the steroidal part of the molecules probably determined their bioactivity. Of paramount interest is the observation that the orientation of the alkylating part of the SMEs toward the surface of ring B of the steroidal skeleton was related with increased activity. Concerning the steroidal part, the presence of hydrophobic groups in rings B and D was found to be important for enhanced activity. Enhancement of antileukemic potency is further observed if hydrophilic/H-bond acceptor groups are present at the positions 7 and 17 of the steroidal skeleton. Leapfrog simulations provided novel compounds which lead our future synthetic endeavor for obtaining SMEs with optimum bioactivity.
Thinking BigData: Motivation, Results and a Few Recipes for a Balanced Growth of High Performance Computing in Academia

Big Data is today both an emerging research area and a real present and future demand. High Performance Computing (HPC) Centers cannot neglect this fact and have to be reshaped to fulfill this need. In this paper we share our experience of upgrading a HPC Center at Politecnico di Torino, originally designed and deployed in 2010. We believe that this issue could be common to some other existing "general purpose" HPC centers where, at least in the short term, the possibility to start from scratch a new Big Data HPC center cannot be afforded but a balanced upgrade of the existing system has to be preferred
Systematic prediction of health-relevant human-microbial co-metabolism through a computational framework

The gut microbiota is well known to affect host metabolic phenotypes. The systemic effects of the gut microbiota on host metabolism are generally evaluated via the comparison of germfree and conventional mice, which is impossible to perform for humans. Hence, it remains difficult to determine the impact of the gut microbiota on human metabolic phenotypes. We demonstrate that a constraint-based modeling framework that simulates “germfree” and “ex-germfree” human individuals can partially fill this gap and allow for in silico predictions of systemic human-microbial co-metabolism. To this end, we constructed the first constraint-based host-microbial community model, comprising the most comprehensive model of human metabolism and 11 manually curated, validated metabolic models of commensals, probiotics, pathogens, and opportunistic pathogens. We used this host-microbiota model to predict potential metabolic host-microbe interactions under 4 in silico dietary regimes. Our model predicts that gut microbes secrete numerous health-relevant metabolites into the lumen, thereby modulating the molecular composition of the body fluid metabolome. Our key results include the following: 1. Replacing a commensal community with pathogens caused a loss of important host metabolic functions. 2. The gut microbiota can produce important precursors of host hormone synthesis and thus serves as an endocrine organ. 3. The synthesis of important neurotransmitters is elevated in the presence of the gut microbiota. 4. Gut microbes contribute essential precursors for glutathione, taurine, and leukotrienes. This computational modeling framework provides novel insight into complex metabolic host-microbiota interactions and can serve as a powerful tool with which to generate novel, non-obvious hypotheses regarding host-microbe co-metabolism.
Bridging and bonding in social network sites - investigating family-based capital

This study explores the relationship between three distinct dimensions of social capital (bridging, peer-bonding and family-bonding capital) in social network sites (SNSs). We ask what kinds of social relations are sought by SNS users and whether the usage of new SNSs contributes to family bonding. A representative sample of the Norwegian internet population shows that 25% use SNSs to communicate with family members once a week or more often, but peer bonding is significantly more frequent (53%). Further, male users are significantly less interested in future family contacts in SNSs than females. Both online bridging and family bonding differ significantly between age groups. Answers to an open-ended question demonstrate a wish to strengthen relationships with friends and acquaintances in SNSs. Contact with family is not reported as a main motivation for using SNSs (1%), while other social relations account for 74% of the motivations. However, the results of the study indicate that the majority of the respondents experience SNSs as a part of their daily communication routines, both to bridge new online contacts and to strengthen bonds with their existing offline ties.
A low power small area multi-bit quantizer with a capacitor string in Sigma-Delta modulator

An ultra-low power area-efficient fully differential multi-bit quantizer used in Sigma-Delta modulator (SDM) is presented. The quantizer is named as capacitor-string area-efficient (CSAE) quantizer since instead of the typical resistor string, it employs a capacitor string to avoid static power consumption. Furthermore, a novel circuit configuration with saving half number of comparators is applied to it to save area for cutting cost of chip. The novel multi-bit quantizer is designed in a standard 0. 35μm CMOS process. Simulation results show that a 17-level CSAE quantizer clocked at 32 kHz achieves a power consumption of 0. 225μW when the power supply voltage is 1.8V. Its area is 0.145mm. Compared with traditional design, the proposed CSAE quantizer saves 81% power and 37% area and thus is suitable for ultra-low power applications.
Cross-reactivity between antibodies in the sera of individuals with leishmaniasis, toxoplasmosis, and Chagas' disease and antigens of the blood-stage forms of Plasmodium falciparum determined by indirect immunofluorescence.

Seroepidemiologic studies using the indirect immunofluorescent antibody test (IFAT) are valuable in malaria control programs in identifying local foci of malaria, in diagnosing malaria in asymptomatic, low-parasitemia blood donors in nonendemic countries, in detecting imported malaria and preventing its introduction into new areas, and in excluding recurrent fever from causes other than malaria. Because other diseases may occur in areas where malaria is prevalent, the aim of this work, using the IFAT, was to determine the frequency of cross-reactions between blood-stage antigens of Plasmodium falciparum and antibodies present in the serum of individuals with leishmaniasis, toxoplasmosis and Chagas' disease. Since malaria transmission does not occur in the study area (State of Minas Gerais, Brazil) where these other diseases are present, we studied sera from individuals living in this area who had never been in the areas endemic for malaria in the Amazon region. Positive reactivity of sera with blood malaria antigens evaluated by IFAT at dilutions > or = 1:40 was detected in 19 (38%) of 50 individuals with cutaneous leishmaniasis, five (62%) of eight individuals with visceral leishmaniasis, 14 (32%) of 44 individuals with Chagas' disease, four (11%) of 36 individuals with toxoplasmosis, and in none of the 14 uninfected controls. All 23 of the control malaria sera from the endemic area (State of Mato Grosso, Brazil) were positive at high dilutions. We found no correlation between titers of the IFAT with malaria and the specific antigens used for serodiagnosis of the other protozoan infections studied. At dilutions of 1:20 and 1:40, the sensitivity of the IFAT test was 100% and specificity was 52% and 72%, respectively. At a dilution of 1:80, the sensitivity was 86% and the specificity was 90%. (ABSTRACT TRUNCATED AT 250 WORDS)
Integrative Taxonomy of Southeast Asian Snail-Eating Turtles (Geoemydidae: Malayemys) Reveals a New Species and Mitochondrial Introgression

Based on an integrative taxonomic approach, we examine the differentiation of Southeast Asian snail-eating turtles using information from 1863 bp of mitochondrial DNA, 12 microsatellite loci, morphology and a correlative species distribution model. Our analyses reveal three genetically distinct groups with limited mitochondrial introgression in one group. All three groups exhibit distinct nuclear gene pools and distinct morphology. Two of these groups correspond to the previously recognized species Malayemys macrocephala (Chao Phraya Basin) and M. subtrijuga (Lower Mekong Basin). The third and genetically most divergent group from the Khorat Basin represents a previously unrecognized species, which is described herein. Although Malayemys are extensively traded and used for religious release, only few studied turtles appear to be translocated by humans. Historic fluctuations in potential distributions were assessed using species distribution models (SDMs). The Last Glacial Maximum (LGM) projection of the predictive SDMs suggests two distinct glacial distribution ranges, implying that the divergence of M. macrocephala and M. subtrijuga occurred in allopatry and was triggered by Pleistocene climate fluctuations. Only the projection derived from the global circulation model MIROC reveals a distinct third glacial distribution range for the newly discovered Malayemys species.
Zymoseptoria gen. nov.: a new genus to accommodate Septoria-like species occurring on graminicolous hosts

The Mycosphaerella complex is both poly- and paraphyletic, containing several different families and genera. The genus Mycosphaerella is restricted to species with Ramularia anamorphs, while Septoria is restricted to taxa that cluster with the type species of Septoria, S. cytisi, being closely related to Cercospora in the Mycosphaerellaceae. Species that occur on graminicolous hosts represent an as yet undescribed genus, for which the name Zymoseptoria is proposed. Based on the 28S nrDNA phylogeny derived in this study, Zymoseptoria is shown to cluster apart from Septoria. Morphologically species of Zymoseptoria can also be distinguished by their yeast-like growth in culture, and the formation of different conidial types that are absent in Septoria s.str. Other than the well-known pathogens such as Z. tritici, the causal agent of septoria tritici blotch on wheat, and Z. passerinii, the causal agent of septoria speckled leaf blotch of barley, both for which epitypes are designated, two leaf blotch pathogens are also described on graminicolous hosts from Iran. Zymoseptoria brevis sp. nov. is described from Phalaris minor, and Z. halophila comb. nov. from leaves of Hordeum glaucum. Further collections are now required to elucidate the relative importance, host range and distribution of these species.
Pruning and aging for user histories in collaborative filtering

In this paper, we introduce algorithms for pruning and aging user ratings in collaborative filtering systems, based on their oldness, under the rationale that aged user ratings may not accurately reflect the current state of users regarding their preferences. The aging algorithm reduces the importance of aged ratings, while the pruning algorithm removes them from the database. The algorithms are evaluated against various types of datasets. The pruning algorithm has been found to present a number of advantages, namely (1) reducing the rating database size, (2) achieving better prediction generation times and (3) improving prediction quality by cutting off predictions with high error. The algorithm can be used in all rating databases that include a timestamp and has been proved to be effective in any type of dataset, from movies and music, to videogames and books.
A huge filamentary structure at z= 0.55 and star formation histories of galaxies at z < 1

We report a definitive confirmation of a large-scale structure around the super rich cluster CL0016+1609 at z = 0.55. We made spectroscopic follow-up observations with Faint Object Camera and Spectrograph (FOCAS) on Subaru along the large filamentary structure identified in our previous photometric studies, including some subclumps already found by other authors. We have confirmed the physical connection of the huge filament extending over 20h -1 70 Mpc in the north-south (NS) direction hosting the main cluster and several clumps aligned in a chain-like structure. We have also confirmed a physical association of a new filament extending from the main cluster to the east, which was newly discovered by us. Based on a simple energy argument, we show that it is likely that most of the clumps are bound to the main CL0016 cluster. Given its spatial extent and richness, this structure is surely one of the most prominent confirmed structures ever identified in the distant Universe, which then serves as an ideal laboratory to examine the environmental variation of galaxy properties. We draw star formation histories of galaxies from the composite spectra of red galaxies in field, group and cluster environments. Combining the results from our previous studies, we find that red galaxies in groups at z∼0.8 and red field galaxies at z∼0.5 show strong Hδ absorption lines for their D 4000 indices. These are the environments in which we observed the on-going build-up of the colour-magnitude relation in our previous photometric analyses. The strong Hδ absorption lines observed in their composite spectra imply that their star formation is truncated on a relatively short time-scale in these relatively low density environments. We suggest that galaxy-galaxy interactions are the most likely physical driver of the truncation of star formation and thus responsible for the build-up of the colour-magnitude relation since z∼ 1.
A methodology for managing roles in legacy systems

Role-based access control (RBAC) is well accepted as a good technology for managing and designing access control in systems with many users and many objects. Much of the research on RBAC has been done in an environment isolated from real systems which need to be managed. In this paper, we propose a methodology for using an RBAC design tool we have developed, to manage and effect changes to an underlying relational database. We also discuss how to simulate the role graph model on a Unix system, and extend the methodology just described for relational databases to managing a Unix system when changes are made to the role graph.
The impact of clonal mixing on the evolution of social behaviour in aphids

Reports of substantial clonal mixing measured in social aphid colonies seem, on the face of it, to rule out population structure as an explanation of this enigmatic insect's social behaviour. To clarify how selection operates in aphids, and to disentangle direct and indirect fitness components, we present a model of the life cycle of a typical colony-dwelling aphid. The model incorporates ecological factors and includes a trade-off between investing in social behaviour and investing in reproduction. Our focus on inclusive fitness contrasts with previous approaches that optimize colony output. Through deriving a variant of Hamilton's rule, we show that a simple relationship can be established between the patch-carrying capacity and immigration rates into patches. Our results indicate that the levels of clonal mixing reported are not inconsistent with social behaviour. We discuss our model in terms of the evolutionary origins of social behaviour in aphids.
Sequence analysis of SLA2 of the dimorphic yeasts Candida albicans and Yarrowia lipolytica

We report the complete nucleotide sequence of SLA2 of the dimorphic yeasts Candida albicans and Yarrowia lipolytica. In Saccharomyces cerevisiae, SLA2 codes for an actin binding protein. The deduced amino acid (aa) sequences of C. albicans CaSla2p and Y. lipolytica YlSla2p consist of 1063 and 1054 aa, respectively. The alignment of the deduced proteins of Saccharomyces cerevisiae, Y. lipolytica and C. albicans shows regions of identity in the N‐terminal part of the proteins, which are essential for growth at 37°C, endocytosis and actin organization in S. cerevisiae. The Sla2p proteins have also several conserved regions in the C‐terminal moiety, the I/LWEQ boxes, displaying homology to the talin protein of mouse, Dictyostelium discoideum, Caenorhabditis elegans and to human huntingtin interacting protein (Hip 1p). The sequence data of C. albicans SLA2 are registered in the EMBL database (AJ009556), and for the Y. lipolytica gene in GenBank (U65409). Copyright © 1999 John Wiley & Sons, Ltd.
Assessing the Internal and External Validity of Mobile Health Physical Activity Promotion Interventions: A Systematic Literature Review Using the RE-AIM Framework

Background Mobile health (mHealth) interventions are effective in promoting physical activity (PA); however, the degree to which external validity indicators are reported is unclear. Objective The purpose of this systematic review was to use the RE-AIM (reach, effectiveness, adoption, implementation, and maintenance) framework to determine the extent to which mHealth intervention research for promoting PA reports on factors that inform generalizability across settings and populations and to provide recommendations for investigators planning to conduct this type of research. Methods Twenty articles reflecting 15 trials published between 2000 and 2012 were identified through a systematic review process (ie, queries of three online databases and reference lists of eligible articles) and met inclusion criteria (ie, implementation of mobile technologies, target physical activity, and provide original data). Two researchers coded each article using a validated RE-AIM data extraction tool (reach, efficacy/effectiveness, adoption, implementation, maintenance). Two members of the study team independently abstracted information from each article (inter-rater reliability >90%) and group meetings were used to gain consensus on discrepancies. Results The majority of studies were randomized controlled trials (n=14). The average reporting across RE-AIM indicators varied by dimension (reach=53.3%, 2.67/5; effectiveness/efficacy=60.0%, 2.4/4; adoption=11.1%, 0.7/6; implementation=24.4%, 0.7/3; maintenance=0%, 0/3). While most studies described changes in the primary outcome (effectiveness), few addressed the representativeness of participants (reach) or settings (adoption) and few reported on issues related to maintenance and degree of implementation fidelity. Conclusions This review suggests that more focus is needed on research designs that highlight and report on both internal and external validity indicators. Specific recommendations are provided to encourage future mHealth interventionists and investigators to report on representativeness, settings, delivery agents for planned interventions, the extent to which protocol is delivered as intended, and maintenance of effects at the individual or organizational level.
Variational Particle Approximations

Approximate inference in high-dimensional, discrete probabilistic models is a central problem in computational statistics and machine learning. This paper describes discrete particle variational inference (DPVI), a new approach that combines key strengths of Monte Carlo, variational and search-based techniques. DPVI is based on a novel family of particle-based variational approximations that can be fit using simple, fast, deterministic search techniques. Like Monte Carlo, DPVI can handle multiple modes, and yields exact results in a well-defined limit. Like unstructured mean-field, DPVI is based on optimizing a lower bound on the partition function; when this quantity is not of intrinsic interest, it facilitates convergence assessment and debugging. Like both Monte Carlo and combinatorial search, DPVI can take advantage of factorization, sequential structure, and custom search operators. This paper defines DPVI particle-based approximation family and partition function lower bounds, along with the sequential DPVI and local DPVI algorithm templates for optimizing them. DPVI is illustrated and evaluated via experiments on lattice Markov Random Fields, nonparametric Bayesian mixtures and block-models, and parametric as well as non-parametric hidden Markov models. Results include applications to real-world spike-sorting and relational modeling problems, and show that DPVI can offer appealing time/accuracy trade-offs as compared to multiple alternatives.