Miracle-dz/UniFAR-FTUs huggingface dataset:
Kinematics, ages and metallicities for F‐ and G‐type stars in the solar neighbourhood

A new metallicity distribution and an age–metallicity relation are presented for 437 nearby F and G turn-off and sub-giant stars selected from radial velocity data of Nidever et al. Photometric metallicities are derived from uvby− Hβ photometry, and the stellar ages from the isochrones of Bergbusch & VandenBerg as transformed to uvby photometry using the methods of Clem et al. The X (stellar population) criterion of Schuster et al., which combines both kinematic and metallicity information, provides 22 thick-disc stars. σW= 32 ± 5 km s−1, 〈Vrot〉= 154 ± 6 km s−1 and 〈[M/H]〉=−0.55 ± 0.03 dex for these thick-disc stars, which is in agreement with values from previous studies of the thick disc. α-element abundances which are available for some of these thick-disc stars show the typical α-element signatures of the thick disc, supporting the classification procedure based on the X criterion. Both the scatter in metallicity at a given age and the presence of old, metal-rich stars in the age–metallicity relation make it difficult to decide whether or not an age–metallicity relation exists for the older thin-disc stars. For ages greater than 3 Gyr, our results agree with the other recent studies that there is almost no correlation between age and metallicity, Δ([M/Fe])/Δ(age) =−0.01 ± 0.005 dex Gyr−1. For the 22 thick-disc stars there is a range in ages of 7–8 Gyr, but again almost no correlation between age and metallicity. For the subset of main-sequence stars with extra-solar planets, the age–metallicity relation is very similar to that of the total sample, very flat, the main difference being that these stars are mostly metal-rich, [M/H]≳−0.2 dex. However, two of these stars have [M/H]∼−0.6 dex and have been classified as thick-disc stars. As for the total sample, the range in ages for these stars with extra-solar planetary systems is considerable with a nearly uniform distribution over 3 ≲ age ≲ 13 Gyr.
Identification of Jiles–Atherton Model Parameters Using Particle Swarm Optimization

This paper presents the use of the multiobjective particle swarm optimization (PSO) technique for the identification of Jiles-Atherton model parameters. This approach, implemented for the first time in order to solve this kind of problem, is tested for two magnetic materials: NO 3% SiFe and NiFe 20-80. The results are compared with those obtained with a direct search method and a genetic algorithm procedure. Experimental measures performed on both samples of materials allow us to complete and argue the validation for the PSO method.
Aspen Increase Soil Moisture, Nutrients, Organic Matter and Respiration in Rocky Mountain Forest Communities

Development and change in forest communities are strongly influenced by plant-soil interactions. The primary objective of this paper was to identify how forest soil characteristics vary along gradients of forest community composition in aspen-conifer forests to better understand the relationship between forest vegetation characteristics and soil processes. The study was conducted on the Fishlake National Forest, Utah, USA. Soil measurements were collected in adjacent forest stands that were characterized as aspen dominated, mixed, conifer dominated or open meadow, which includes the range of vegetation conditions that exist in seral aspen forests. Soil chemistry, moisture content, respiration, and temperature were measured. There was a consistent trend in which aspen stands demonstrated higher mean soil nutrient concentrations than mixed and conifer dominated stands and meadows. Specifically, total N, NO3 and NH4 were nearly two-fold higher in soil underneath aspen dominated stands. Soil moisture was significantly higher in aspen stands and meadows in early summer but converged to similar levels as those found in mixed and conifer dominated stands in late summer. Soil respiration was significantly higher in aspen stands than conifer stands or meadows throughout the summer. These results suggest that changes in disturbance regimes or climate scenarios that favor conifer expansion or loss of aspen will decrease soil resource availability, which is likely to have important feedbacks on plant community development.
The Basic Cleft of RPA70N Binds Multiple Checkpoint Proteins, Including RAD9, To Regulate ATR Signaling

ABSTRACT ATR kinase activation requires the recruitment of the ATR-ATRIP and RAD9-HUS1-RAD1 (9-1-1) checkpoint complexes to sites of DNA damage or replication stress. Replication protein A (RPA) bound to single-stranded DNA is at least part of the molecular recognition element that recruits these checkpoint complexes. We have found that the basic cleft of the RPA70 N-terminal oligonucleotide-oligosaccharide fold (OB-fold) domain is a key determinant of checkpoint activation. This protein-protein interaction surface is able to bind several checkpoint proteins, including ATRIP, RAD9, and MRE11. RAD9 binding to RPA is mediated by an acidic peptide within the C-terminal RAD9 tail that has sequence similarity to the primary RPA-binding surface in the checkpoint recruitment domain (CRD) of ATRIP. Mutation of the RAD9 CRD impairs its localization to sites of DNA damage or replication stress without perturbing its ability to form the 9-1-1 complex or bind the ATR activator TopBP1. Disruption of the RAD9-RPA interaction also impairs ATR signaling to CHK1 and causes hypersensitivity to both DNA damage and replication stress. Thus, the basic cleft of the RPA70 N-terminal OB-fold domain binds multiple checkpoint proteins, including RAD9, to promote ATR signaling.
Fast Time Series Classification Based on Infrequent Shapelets

Time series shapelets are small and local time series subsequences which are in some sense maximally representative of a class. E.Keogh uses distance of the shapelet to classify objects. Even though shapelet classification can be interpretable and more accurate than many state-of-the-art classifiers, there is one main limitation of shapelets, i.e. shapelet classification training process is offline, and uses subsequence early abandon and admissible entropy pruning strategies, the time to compute is still significant. In this work, we address the later problem by introducing a novel algorithm that finds time series shapelet in significantly less time than the current methods by extracting infrequent time series shapelet candidates. Subsequences that are distinguishable are usually infrequent compared to other subsequences. The algorithm called ISDT (Infrequent Shapelet Decision Tree) uses infrequent shapelet candidates extracting to find shapelet. Experiments demonstrate the efficiency of ISDT algorithm on several benchmark time series datasets. The result shows that ISDT significantly outperforms the current shapelet algorithm.
A Survey of Common Stemming Techniques and Existing Stemmers for Indian Languages

Stemming is an operation that relates morphological variants of a word. The purpose of stemming is to obtain the stem or radix of those words which are not found in dictionary. If stemmed word is present in dictionary, then that is a genuine word, otherwise it may be proper name or some invalid word. Stemming is the process for reducing inflected or sometimes derived words to their stem, base or root form, generally a written word form. The stem need not be identical to the morphological root of the word, it is usually sufficient that related words map to the same stem, even if this stem is not in itself a valid root. Stemming is used in Information Retrieval systems to improve performance. The design of stemmers is language specific, and requires some to significant linguistic expertise in the language, as well as the understanding of the needs for a spelling checker for that language. A stemmer’s performance and effectiveness in applications such as spelling checker vary across languages. A typical simple stemmer algorithm involves removing suffixes using a list of frequent suffixes, while a more complex one would use morphological knowledge to derive a stem from the words. In this paper a survey of common stemming techniques and existing stemmers for Indian languages have been presented.
Automatic linking of wikipedia pages by their semantic similarity

Wikipedia pages associate the key words and phrases from the text with the other Wikipedia pages by linking them together for the purpose of enabling the user to reach the information in an easier way. In this study, by using the Natural Language Processing techniques, the linking system has been tried to be automatized. Initially, the approach has been designed for Turkish Wikipedia, then in the second step, it has been tried for English Wikipedia and the results have been compared, evaluations are promising.
Reading Science: Digital Humanities and General Chemistry

Scientific papers often present challenges to undergraduate readers. This paper reports on research to explore whether Voyant, a digital humanities text analysis tool, might help students become more proficient and independent readers of scientific articles. Students taking Honors General Chemistry 2 were introduced to Voyant. For the study, they read, analyzed, and summarized a scientific paper without the use of Voyant to establish a baseline measure of their skills. They then read, analyzed, and summarized a second scientific paper with the aid of Voyant, and a third one without Voyant again. For the first article, the students earned an average of 7.6 points out of 10. For the second article, they gained a point, reaching an average of 8.7. For the third article, students maintained the gain with an average of 8.6 points. In addition, thematic coding of answers to open-ended survey questions posed after the second article confirmed reports by eleven out of fourteen students that Voyant had helped them; however, for the third article, only four missed the assistance of Voyant. In conclusion, Voyant was found to be a helpful temporary aid for reading scientific papers.
SCHIZOTYPAL TRAITS, ATTEIfTION AND EYE MOVEMEHTS

Larrison, Abigail L. , Carolyn F. Ferrante, Kevin A. Briand, Anne B. Sereno: Schizotypal Traits, Attention and Eye Movements. Prog. Neuro-Psychopharmacol. & Biol. Psychiat. 2000,24, pp. 357-372. 02000 Elscvicr S&n= Inc. 1. Subjects demonstrating high, average, or low schizotypal traits participated in saccade tasks of eye movements and attention including: a simple saccade task, an antisaccade task, and/or a cued saccade task measuring both facilitatory effects of cuing and inhibition of return (IOR). 2. Subjects were recruited based on their scores on the Rust Inventory of Schizotypal Cog&ions (RISC) and then were given Raine’s Schizotypal Personality Questionnaire (SPQ) (1991). 3. Subjects scoring high in schizotypy demonstrated increased errors on the voluntary eye movement task (antisaccade task) (p&05). Performance on the reflexive saccade task was not impaired in high compared to low schizotypals, but may have been enhanced as demonstrated by a negative correlation between scores on the SPQ and performance on this task. For the cued saccade task, there were no overall differences in cueing effects between schizotypal groups, however there was a laterality difference between low versus high scoring schizotypal subjects. 4. These results indicate distinct differences in tasks of overt orienting (sac&e and antisaccade tasks) and covert orienting tasks (cued saccade task). The patterns of performance by our schizotypy subjects, including impaired voluntary saccade, enhanced reflexive saccade, and lateral&d performance on the cued saccade task, are consistent with the performance of schizophrenic patient populations. Thus, our study supports the previous findings of a physiological relationship between schizotypal personality and schizophrenia. Kev Words: attention, eye movement, personality, saccade, schizotypy, laterality m: antisaccade (AS), inhibition of return (IOR), left visual field (LVF), right visual field (RVF), response time (RT), reflection tracking system (RTS), Rust Inventory of Schizotypal Cognitions (RISC), saccade (S), Schizotypal Personality Questionnaire (SPQ), stimulus onset asynchrony (SOA)
The input pattern order problem II: Evolution of multiple-output circuits in hardware

It has been shown in previous work that the design of the input pattern plays and important role in intrinsic evolvable hardware. The results have shown that randomising the input pattern during the course of evolution is mandatory in order to achieve valid circuits that work correctly under all conditions. Furthermore, it was found that randomising the input pattern order helps evolution to avoid local optima. Due to the fact that it becomes exponentially more difficult to successfully evolve circuits with increasing number of outputs, this paper addresses the importance of the input pattern order problem (IPOP) for the second time, with a focus on the intrinsic evolution of digital circuits with multiple outputs. In this paper, we investigate whether it is also possible to design the input pattern in a way to improve the performance of evolution when tackling multiple output problems. A different approach to IPOP is taken, where input pattern order is used as a method of balancing the distribution of the output values. The aim is to equalise the fitness value range by using weighted input vectors in order to obtain a smoother search landscape for multiple output circuits. The proposed method is tested on the intrinsic evolution of 4-bit AND, 4-bit parity, 2-bit full adder, and 2-bit multiplier. Furthermore, the results for the intrinsically evolved multipliers are compared with software simulations in order to determine whether there is a benefit for both intrinsic and extrinsic evolution.
Unsupervised Event Abstraction using Pattern Abstraction and Local Process Models

Process mining analyzes business processes based on events stored in event logs. However, some recorded events may correspond to activities on a very low level of abstraction. When events are recorded on a too low level of abstraction, process discovery methods tend to generate overgeneralizing process models. Grouping low-level events to higher level activities, i.e., event abstraction, can be used to discover better process models. Existing event abstraction methods are mainly based on common sub-sequences and clustering techniques. In this paper, we propose to first discover local process models and, then, use those models to lift the event log to a higher level of abstraction. Our conjecture is that process models discovered on the obtained high-level event log return process models of higher quality: their fitness and precision scores are more balanced. We show this with preliminary results on several real-life event logs.
Chapter 16 Nonparametric Prediction

In this chapter we consider the prediction of stationary time series for various loss functions: squared loss (as it arises in the regression problem), 0− 1 loss (pattern recognition) and log utility (portfolio selection). The focus is on the construction of universal prediction rules, which are consistent for all possible stationary processes. Such rules can be obtained by combining elementary rules (experts) in a data dependent way.
A Hybrid Context Inconsistency Resolution Method

Based on synthetically utilizing ontologies, Formal Concept Analysis, Bayes formula and two formulas of time reliability and distance reliability, a hybrid method for solving context inconsistency is proposed. It can be applied in context-aware technology which is a significant part of Semantic Web of Things. The related experiment and assessment reveals that the proposed method is efficient and feasible.
Co-Simulation of Self-Adaptive Automotive Embedded Systems

The complexity of modern vehicular embedded systems is constantly rising. In addition, distributed embedded systems like automobiles often implement safety-relevant applications which have a high demands on safety and reliability. This poses a great challenge for the design of these systems. Self-adaptation may overcome these challenges and enhance the flexibility and robustness of automotive embedded systems. To design such systems in an efficient way, an adaptive system has to be verified and validated even in early stages of the development process. Co-simulation enables such an approach. In this paper, we outline a concept for iterative virtual prototyping of the entire automotive in-vehicle network including hardware components, software functions and interconnection networks. Furthermore, we present an approach to simulate self-adaptive behavior of the automotive embedded system.
Impact of die-to-die and within-die parameter fluctuations on the maximum clock frequency distribution

A processor maximum clock frequency (FMAX) distribution is significantly influenced by the magnitude of critical path delay deviations resulting from both die-to-die (inter-die) and within-die (intra-die) fluctuations. FMAX is a measurement performed at wafer sort in which each functional die is tested for its maximum operating clock frequency. Die-to-die fluctuations resulting from lot-to-lot, wafer-to-wafer and some sources of the within-wafer variations affect every element on a chip equally. Conversely, within-die fluctuations consisting of both random and systematic components produce a nonuniformity of electrical characteristics across the chip. The FMAX distribution model is based upon statistical simulations of critical paths for a 0.25/spl mu/m Pentium-family processor.
Transport of Paraquat by Human Organic Cation Transporters and Multidrug and Toxic Compound Extrusion Family

Paraquat (N,N-dimethyl-4–4′-bipiridinium; PQ), a widely used herbicide, when ingested accidentally or intentionally can cause major organ toxicities in lung, liver, and kidney. Because PQ is primarily eliminated in the kidney, renal elimination, including tubular transport, plays a critical role in controlling systemic exposure to the herbicide. The goal of this study was to determine the molecular identities of the transporters involved in the renal elimination of PQ. Using stably transfected human embryonic kidney (HEK)-293 cells, we examined the role of human organic cation transporters (hOCTs, SLC22A1–3) and human multidrug and toxic compound extrusion (hMATE)1 in the cellular accumulation and cytotoxicity of PQ. We found that overexpression of hOCT2 but not hOCT1 and hOCT3 in HEK-293 cells significantly enhanced the accumulation and cytotoxicity of PQ (-fold increase for uptake was 12 ± 0.5, p < 0.01; -fold increase of cytotoxicity was 18 ± 1.5, p < 0.001). The kinetics of PQ transport was altered in cells expressing a genetic polymorphism of hOCT2 (A270S) in comparison with those expressing the reference hOCT2. In addition, the cellular accumulation and cytotoxicity of PQ were also enhanced in cells expressing hMATE1 (-fold increase for uptake was 18 ± 3.7, p < 0.0001; -fold increase of cytotoxicity was 5.7 ± 0.5, p < 0.0001). These results suggest that hOCT2 and hMATE1 mediate PQ transport. These transporters may play an important role in the accumulation and renal excretion of PQ, and they may serve as molecular targets for the prevention and treatment of PQ-induced nephrotoxicity.
New evidence of association between COMT gene and prefrontal neurocognitive function in healthy individuals from sibling pairs discordant for psychosis.

OBJECTIVE Using a sample of sibling pairs discordant for psychosis, the authors attempted to replicate the findings of previous studies suggesting that the functional genetic polymorphism Val158Met in the catechol O-methyltransferase (COMT) gene influences prefrontal cognitive function and increases the risk for schizophrenia. METHOD Eighty-nine sibling pairs discordant for psychosis were genotyped for this polymorphism and were assessed with the Wisconsin Card Sorting Test, a measure of prefrontal function. Additionally, the preferential transmission of alleles for this polymorphism was analyzed in a sample of 89 nuclear families in order to examine the genetic association. RESULTS In the healthy siblings, a linear relationship was seen in which performance on the Wisconsin Card Sorting Test was associated in an allele dosage fashion with COMT genotype (i.e., fewer perseverative errors with higher number of methionine alleles). However, this association was not observed in patients. Furthermore, no evidence of genetic association with psychosis was detected. CONCLUSIONS These results seem to confirm the role of COMT genotype in the modulation of executive functions related to frontal lobe function in healthy individuals but not in schizophrenia patients.
Linearization of large-signal scattering functions

We describe a linearization of large-signal scattering functions describing weakly nonlinear device behavior. The linearization takes on a convenient form similar to scattering parameters that clearly illustrates the role of phase-conjugated mixing products in the theory. We develop rules for the evolution of the linearization with time. We illustrate the theory with transistor measurements and apply the theory to the characterization of the reflection coefficients of a microwave source in its large-signal operating state.
VQuery: a graphical user interface for Boolean query Specification and dynamic result preview

Textual query languages based on Boolean logic are common amongst the search facilities of on-line information repositories. However, there is evidence to suggest that the syntactic and semantic demands of such languages lead to user errors and adversely affect the time that it takes users to form queries. Additionally, users are faced with user interfaces to these repositories which are unresponsive and uninformative, and consequently fail to support effective query refinement. We suggest that graphical query languages, particularly Venn-like diagrams, provide a natural medium for Boolean query specification which overcomes the problems of textual query languages. Also, dynamic result previews can be seamlessly integrated with graphical query specification to increase the effectiveness of query refinements. We describe VQuery, a query interface to the New Zealand Digital Library which exploits querying by Venn diagrams and integrated query result previews.
Energy and Throughput Analysis of Reservation Protocols of Wi Media MAC

WiMedia standardized a fully distributed high data rate communication using ultra wideband (UWB) for wireless personal area networks (WPANs). WiMedia Medium Access Control (MAC) provides a synchronous data communication service by Prioritized Channel Access (PCA) and isochronous service by Distributed Reservation Protocol (DRP). In this paper we propose three different approaches to analyze the reservation protocols, PCA and DRP,