Miracle-dz/UniFAR-FTUs huggingface dataset:
Cenozoic magmatism in the western Ross Embayment: Role of mantle plume versus plate dynamics in the development of the West Antarctic Rift System

[1] Geochemical and chronological data for Cenozoic plutons and dikes from northern Victoria Land (Antarctica), were used to propose a tectonic-magmatic model for this portion of the West Antarctic Rift System (WARS). The seven major plutons are compositionally bimodal, with gabbroic and syenitic portions. Among the 180 studied dikes, most are 1 m thick and have alkali basalt-basanite-tephrite compositions, along with minor intermediate rocks. Trachytic-rhyolitic dikes (up to 50 m thick) are by far less common. The 40Ar-39Ar data for dikes indicate middle Eocene to early Oligocene ages, the oldest found to date for igneous activity throughout the WARS. The geochronological-structural framework provides evidence for coeval emplacement of dikes on two main NW-SE and N-S striking trends, whereas plutonic-subvolcanic activity occurred in adjacent crustal sectors at different times. Mafic dikes display major and trace element distribution typical of basalts from oceanic islands, such as high ratios of Nb and Ta to large ion lithophile and heavy rare earth elements, coupled with prominent negative K and Pb anomalies in the primitive mantle-normalized multielement diagrams. Initial isotopic compositions are within the ranges of 0.70299–0.70372 for 87Sr/86Sr and 4.2–6.3 for eNd. These features are shared by younger Neogene lavas. Geochemical modeling for both mafic dikes and lavas indicates an enriched magma source characterized by a residual potassic hydrous phase, thus pointing out a mantle source nearly uniform throughout 50 m.y. Comparable geochemical signature are reported for the magma source of the other Cenozoic volcanic provinces of the WARS and the whole Antarctic Plate. The new data for the early igneous rocks of the rift put in evidence a chronologic-structural link between magmatic evolution, regional tectonics and plate dynamics which suggests a model for WARS magmatism that is alternative to current plume hypotheses. We propose that magma genesis and emplacement are related to reactivation of preexisting translithospheric faults, which promoted local decompression melting of an enriched mantle that was previously veined during the decompression episode associated with the amagmatic late Cretaceous extensional rift phase.
Innovative process engineering: a generic model of the innovation process

Innovation can be represented as a knowledge transformation process perceived with different levels of granularity. The milestones of this process allow assessment for its each step and set up feedback loops that will be highlighted. This innovation process is a good starting point to understand innovation and then to manage it. Best practices being patterns of processes, we describe innovation best practices as compulsory steps in our innovation process. To put into practice, the management of innovation in a concrete organisation, an alignment (in our case a mapping) between a repository of business processes and our typical innovation process, helps to describe which best practice applies to which business process.
A NEW APPROACH OF DTC SCHEME FOR INDUCTION MOTOR USING FLUX MODE OBSERVER

With vector control techniques it is possible to control the torque and flux separately like DC motor. However, vector control implementations require coordinate transformations, separate voltage modulation block and voltage decoupling circuits. Direct Torque Control (DTC) provides very quick torque response without the complex field-orientation block and inner current control loop. DTC combined with Space Vector Modulation (SVM) ensures constant switching frequency and high-performance operation, both in the steady state and under transient conditions. Merits of the classic DTC transient behavior are preserved, while the steady-state operation is significantly improved. Closed loop torque and flux control is obtained by generating reference voltage vector which is realized by SVM. Advanced control strategies have been implemented to address various issues in DTC drives such as Sensor less Control with advanced speed observers and Stator Flux Observers. The paper aims at studying the DTC, SVM-DTC and Sensor less Control with advanced flux observers. Two observers MRAS (Model Reference Adaptive System) Flux observer and sliding mode flux observers were studied in detail. Extensive simulations on MATLAB-SIMULINK platform are done for all these schemes.
Whole exome sequencing identifies multiple, complex etiologies in an idiopathic hereditary pancreatitis kindred.

CONTEXT Hereditary pancreatitis is the early onset form of chronic pancreatitis that is carried in an autosomal dominant pattern with variable penetrance. While 80% of hereditary pancreatitis has been shown to be due to a single mutation in the trypsinogen gene PRSS1, a number of hereditary pancreatitis families have no identified genetic cause for illness; thus no reliable screening options or clear therapy. OBJECTIVE To explore the use of massive parallel DNA sequencing technology to discover the etiology of pancreatitis in a family with idiopathic hereditary pancreatitis. DESIGN Candidate gene screening and verification within a kindred. SETTING Prospective cohort study, university based. PATIENTS OR PARTICIPANTS Kindred with idiopathic hereditary pancreatitis. INTERVENTIONS None. MAIN OUTCOME MEASURES Identification of DNA variants predicted to increase susceptibility to pancreatitis. METHODS Whole exome sequencing of two distantly related subjects with variant-specific confirmation in the subjects and other family members. RESULTS We identified three deleterious genetic changes in the three major pancreatitis associated genes (PRSS1 CNV, SPINK1 c.27delC and CFTR R117H), two of which were carried by each patient. Individual targeted assays confirmed these variations in the two whole exome sequencing patients as well as affected and non-affected pedigree members. CONCLUSION Whole exome sequencing was useful for rapid screening of candidate genes linked to pancreatitis. This method opens the door for time- and cost-effective screening of multiple disease-associated genes and modifying factors that associate in different ways to generate a complex genetic disorder.
Probability-free pricing of adjusted American lookbacks

Consider an American option that pays G(X^*_t) when exercised at time t, where G is a positive increasing function, X^*_t := \sup_{s\le t}X_s, and X_s is the price of the underlying security at time s. Assuming zero interest rates, we show that the seller of this option can hedge his position by trading in the underlying security if he begins with initial capital X_0\int_{X_0}^{\infty}G(x)x^{-2}dx (and this is the smallest initial capital that allows him to hedge his position). This leads to strategies for trading that are always competitive both with a given strategy's current performance and, to a somewhat lesser degree, with its best performance so far. It also leads to methods of statistical testing that avoid sacrificing too much of the maximum statistical significance that they achieve in the course of accumulating data.
The impact of an adaptive user interface on reducing driver distraction

This paper discusses the impact of an adaptive prototype in-car communication system (ICCS), called MIMI (Multimodal Interface for Mobile Info-communication), on driver distraction. Existing ICCSs attempt to minimise the visual and manual distraction, but more research needs to be done to reduce cognitive distraction. MIMI was designed to address usability and safety issues with existing ICCSs. Few ICCSs available today consider the driver's context in the design of the user interface. An adaptive user interface (AUI) was designed and integrated into a conventional dialogue system in order to prevent the driver from receiving calls and sending text messages under high distraction conditions. The current distraction level is detected by a neural network using the driving speed and steering wheel angle of the car as inputs. An adaptive version of MIMI was compared to a non-adaptive version in a user study conducted using a simple driving simulator. The results obtained showed that the adaptive version provided several usability and safety benefits, including reducing the cognitive load, and that the users preferred the adaptive version.
Unsupervised Visual Domain Adaptation Using Subspace Alignment-Supplementary material

In section 1.1, we present the experimental protocol we used for Office+Caltech10 datasets. Next in section 1.2, we present results for full Office dataset. Afterwards, in section 1.3 we present the pseudo code for our method. Then in section 1.4 we give details about the domain divergence experiments. Finally, in section 1.5 we report results for semisupervised DA using SVM on Office+Caltech10 dataset.
Taxonomy of Interactivity on the Web

One of the most talked about characteristics of the Internet as a new medium is interactivity. The term, interactivity, pops up in almost every article that discusses the Web. However, if you read those articles carefully, you’ll notice that different people use the term, interactivity, quite differently. The paper attempts to clarify the meanings of “interactivity” in relation to the Web, by identifying its different dimensions and degrees in evaluating a website.
T-PAS; A resource of Typed Predicate Argument Structures for linguistic analysis and semantic processing

The goal of this paper is to introduce T-PAS, a resource of typed predicate argument structures for Italian, acquired from corpora by manual clustering of distributional information about Italian verbs, to be used for linguistic analysis and semantic processing tasks. T-PAS is the first resource for Italian in which semantic selection properties and sense-in-context distinctions of verbs are characterized fully on empirical ground. In the paper, we first describe the process of pattern acquisition and corpus annotation (section 2) and its ongoing evaluation (section 3). We then demonstrate the benefits of pattern tagging for NLP purposes (section 4), and discuss current effort to improve the annotation of the corpus (section 5). We conclude by reporting on ongoing experiments using semiautomatic techniques for extending coverage (section 6).
Nonlinear Spectrotemporal Interactions Underlying Selectivity for Complex Sounds in Auditory Cortex

In the auditory cortex of awake animals, a substantial number of neurons do not respond to pure tones. These neurons have historically been classified as “unresponsive” and even been speculated as being nonauditory. We discovered, however, that many of these neurons in the primary auditory cortex (A1) of awake marmoset monkeys were in fact highly selective for complex sound features. We then investigated how such selectivity might arise from the tone-tuned inputs that these neurons likely receive. We found that these non-tone responsive neurons exhibited nonlinear combination-sensitive responses that require precise spectral and temporal combinations of two tone pips. The nonlinear spectrotemporal maps derived from these neurons were correlated with their selectivity for complex acoustic features. These non-tone responsive and nonlinear neurons were commonly encountered at superficial cortical depths in A1. Our findings demonstrate how temporally and spectrally specific nonlinear integration of putative tone-tuned inputs might underlie a diverse range of high selectivity of A1 neurons in awake animals. We propose that describing A1 neurons with complex response properties in terms of tone-tuned input channels can conceptually unify a wide variety of observed neural selectivity to complex sounds into a lower dimensional description.
The Use of Flexible Measures to Cope with Economic Crises in Germany and Brazil

This study gives a comparative overview of labor market dynamics and institutional arrangements in Germany and Brazil with particular emphasis on industrial relations, wage setting, unemployment benefits, employment protection and vocational training. The paper shows that institutions determine the mode of adjustment to changing economic conditions and the role of standard vs. non-standard contracts. Whereas internal flexibility via shorter working time was a dominant mode of adjustment during the 2008-09 crisis in the German manufacturing sector, in Brazil such plant-level flexibility to avoid dismissals was less prominent.
Conflict analysis in multiprocess synthesis for optimized system integration

This paper presents a novel approach for multiprocess synthesis supporting well-tailored module integration at system level. The goal is to extend the local scope of existing architectural synthesis approaches in order to apply global optimization techniques across process bounds for shared system resources (e.g. memories, busses, global ALUs) during scheduling and binding. This allows an area efficient implementation of un-timed or cycle-fixed multiprocess specifications at RT or algorithmic level of abstraction. Furthermore, this approach supports environment-oriented synthesis for optimized module integration by scheduling accesses to global resources with respect to the access schedules of other modules communicating to the same global resources. As a result, dynamic access conflicts can be avoided by construction, and hence, there is no need for dynamic arbitration of bus and memory accesses with potentially unpredictable timing behavior.
Relevant values: New metadata to provide insight on attribute values at schema level

Research on data integration has provided languages and systems able to guarantee an integrated intensional representation of a given set of data sources. A significant limitation common to most proposals is that only intensional knowledge is considered, with little or no consideration for extensional knowledge. In this paper we propose a technique to enrich the intension of an attribute with a new sort of metadata: the “relevant values”, extracted from the attribute values. Relevant values enrich schemata with domain knowledge; moreover they can be exploited by a user in the interactive process of creating/refining a query. The technique, fully implemented in a prototype, is automatic, independent of the attribute domain and it is based on data mining clustering techniques and emerging semantics from data values. It is parametrized with various metrics for similarity measures and is a viable tool for dealing with frequently changing sources, as in the Semantic Web context.
A New Multiscale Model for the MaddenJulian Oscillation

A multiscale model of the MJO is developed here that accounts, in a simplified fashion, for both the upscale transfer from synoptic to planetary scales of momentum and temperature from wave trains of thermally driven equatorial synoptic-scale circulations in a moving convective envelope as well as direct mean heating on planetary scales. This model involves idealized thermally driven congestus synoptic-scale fluctuations in the eastern part of the moving wave envelope and convective superclusters in the western part of the envelope. The model self-consistently reproduces qualitatively many of the detailed structural features of the planetary circulation in the observations of the MJO, including the vertical structure in both the westerly onset region and the strong westerly wind burst region, as well as the horizontal quadrupole planetary vortex structure. The westerly midlevel inflow in the strong westerly region and the quadrupole vortex are largely produced in the model by the upscale transport of momentum to the planetary scales, while the midlevel easterly jet in the westerly onset region is substantially strengthened by this process. The role of wave trains of tilted organized synoptic-scale circulations is crucial for this fidelity with observations. The appeal of the multiscale models developed below is their firm mathematical underpinnings, simplicity, and analytic tractability while remaining self-consistent with many of the features of the observational record.
Learning From and About Others : Imitation in Humans , Robots , and Animated Characters

We have implemented mimicry of facial expressions in an animated character as a first step towards adding a variety of imitative and social learning abilities to our existing character architecture. Our implementation draws inspiration from, and is heavily grounded in, the child development and comparative psychology literatures on social learning and imitation. Among the key ideas that we draw from these fields, the most crucial is the hypothesis that in human infants, imitative interactions, starting with facial mimicry, are a significant stepping-stone in developing appropriate social behavior, learning to predict other’s actions, and ultimately, theory of mind. Previous work on imitation in artificial systems has generally focused on using imitation as a mechanism for acquiring new goals and actions, or learning new stateaction correspondences. We present an alternate approach to imitation: viewing it as a preliminary step in the development of social intelligence. Differences that this approach leads to include: a) the expectation of an interested and interactive model b) using the correspondences between self and other learned through imitation to try and improve social knowledge. In this paper we present our implementation of facial mimicry in the context of previous work on robotic imitation, current research in cognitive and comparative psychology, and with respect to future work in developing socially intelligent machines.
Systematic effects induced on IBIS detectors by background and inhomogeneity of the spatial response

The spatial distribution of the background events may affect the source detection capability of IBIS at high energies (>200 keV) for both ISGRI and PICsIT layers. The observed background is found to be variable and spatially structured, and in some cases its properties strongly deviate from the expected statistical behaviour. Background correction methods are then necessary to improve the quality of the shadowgrams obtained from sources. In order to perform an efficient flat-fielding the response of the detector to both source (y-rays) and background events is investigated using data from Monte Carlo simulations and in-flight calibration observations.
Loss-of-Function of Human PINK1 Results in Mitochondrial Pathology and Can Be Rescued by Parkin

Degeneration of dopaminergic neurons in the substantia nigra is characteristic for Parkinson's disease (PD), the second most common neurodegenerative disorder. Mitochondrial dysfunction is believed to contribute to the etiology of PD. Although most cases are sporadic, recent evidence points to a number of genes involved in familial variants of PD. Among them, a loss-of-function of phosphatase and tensin homolog-induced kinase 1 (PINK1; PARK6) is associated with rare cases of autosomal recessive parkinsonism. In HeLa cells, RNA interference-mediated downregulation of PINK1 results in abnormal mitochondrial morphology and altered membrane potential. Morphological changes of mitochondria can be rescued by expression of wild-type PINK1 but not by PD-associated PINK1 mutants. Moreover, primary cells derived from patients with two different PINK1 mutants showed a similar defect in mitochondrial morphology. Human parkin but not PD-associated mutants could rescue mitochondrial pathology in human cells like wild-type PINK1. Our results may therefore suggest that PINK1 deficiency in humans results in mitochondrial abnormalities associated with cellular stress, a pathological phenotype, which can be ameliorated by enhanced expression of parkin.
Applying formal software synthesis

A software synthesis method that combines elements of graphical tools, specification writing, and code construction is discussed. Practical applications of the components and efforts to integrate them into a conceptually coherent prototype environment are described. The hallmarks of the approach are the use of formal methods and a general-purpose inference engine, supported by a comprehensive, interactive development environment. The development model is a formal method, but it differs from other formal approaches in that its notations are used primarily to represent programming knowledge and support automated code generation. The performance of the system is also described. <<ETX>>
A Smooth Transition ARCH Model for Asset Returns

In the classical ARCH model of Engle [1982] the conditional variance is a linear function of lagged squared residuals. In this paper I introduce nonlinearity, by adding a term that consists of a constant parameter multiplied by a transition function. Two different transition functions are considered, a logistic and an exponential. Furthermore, following Bollerslev [1986], I extend the model by introducing lagged conditional variances in the conditional variance equation. This specification reduces the number of parameters in the model, which proves to be important for successful estimation. The paper also describes a number of specification tests, that can determine if the smooth transition GARCH model can be the data generating process of a times series. The techniques proposed are illustrated on data from four stock index series.
Bin Packing Model Implementation for Material Election in Read Switches Production Planning

This paper presents an important real problem in Read Switch manufacturing where an efficient use of materials is required. The carrying out of the consumer demands depends on the stochastic results of a classification process where each lot of switches is distributed into bins according to an electric measure value. Various glass types are employed for the switch manufacturing. The effect caused by the glass type variation on the switch classification results was investigated. Based on real data statistic analysis, the problem is reduced to the lots number minimizing taking into consideration the glass type, and interpreted as a bin packing problem generalization. In contrast to the classic problem, in the considered case, an item represents a set of pieces; a container is divided into a number of bins (sub-containers); the bins capacity is variable; there are the assignment restrictions between bins and sets of items; the item sets are allowed to be fragmented into bins and containers. The problem has a high complicity. A heuristic offline algorithm is proposed to find: the number, types and packing sequence of containers, the set fragments coupled with containers and bins. The bin capacities do not affect the algorithm.
MULTILEVEL CHARACTERIZATIONS OF FUNCTION SPACESON

Function spaces on skeletons arise in the numerical treatment of elliptic boundary value problems by certain domain decomposition methods. In this note, we discuss such function spaces, which can be interpreted as trace spaces. We construct a well{deened trace operator and present a characterization of the trace spaces by means of multi-level expansions.
Interaction of Infall and Winds in Young Stellar Objects

The interaction of a stellar or disk wind with a collapsing environment holds promise for explaining a variety of outflow phenomena observed around young stars. In this paper we present the first simulations of these interactions. The focus here is on exploring how ram pressure balance between wind and ambient gas and postshock cooling affects the shape of the resulting outflows. In our models we explore the role of ram pressure and cooling by holding the wind speed constant and adjusting the ratio of the inflow mass flux to the wind mass flux (Ṁa/Ṁw) Assuming nonspherical cloud collapse, we find that relatively strong winds can carve out wide, conical outflow cavities and that relatively weak winds can be strongly collimated into jetlike structures. If the winds become weak enough, they can be cut off entirely by the infalling environment. We identify discrepancies between results from standard snowplow models and those presented here that have important implications for molecular outflows. We also present mass versus velocity curves for comparison with observations.