A Bearing Fault Diagnosis Method Using Multi-Branch Deep Neural Network

Feature extraction from a signal is the most important step in signal-based fault diagnosis. Deep learning or deep neural network (DNN) is an effective method to extract features from signals. In this paper, a novel vibration signal-based bearing fault diagnosis method using DNN is proposed. First, the measured vibration signals are transformed into a new data form called multiple-domain image-representation. By this transformation, the task of signal-based fault diagnosis is transferred into the task of image classification. After that, a DNN with a multi-branch structure is proposed to handle the multiple-domain image representation data. The multi-branch structure of the proposed DNN helps to extract features in multiple domains simultaneously, and to lead to better feature extraction. Better feature extraction leads to a better performance of fault diagnosis. The effectiveness of the proposed method was verified via the experiments conducted with actual bearing fault signals and its comparisons with well-established published methods.

Financial Capacity and Illiteracy: Does Education Matter in Amnestic Mild Cognitive Impairment?

Neuropsychological assessment in amnestic mild cognitive impairment (aMCI) becomes complicated when education-literacy is taken into consideration. This study sought to explore the potential influence of literacy/illiteracy and education on financial capacity in patients with multiple-domain aMCI. Six groups consisting of aMCI (illiterate-no formal education, literate with low education, and literate with high education) and non-demented controls were examined. Literacy has an effect on financial capacity, as the illiterate aMCI group alone had the lowest scores in a financial capacity test resembling the performance of patients with mild Alzheimer’s disease. In controls there was a similar pattern, but all three healthy groups regardless of education scored above the cut-off score for incapacity.

Framboid Microarchitecture

Framboids can be classified in terms of whether their constituent microcrystals are regularly arranged (ordered in a single domain), randomly arranged (disordered), or mixtures of both (partially ordered or multiple domains). The relative proportions of these three types are unknown, but there may be a tendency for the proportion of ordered framboids to increase with geologic age. In single domain microarchitectures the constituent microcrystals are uniform in both size and morphology and are arranged in a single array that is coherent through the framboid. Cubic close packing in these single domains explains most of the textures observed in sections of organized framboid, and this geometry maximizes entropy at high densities. Multiple domain microarchitectures can produce pseudo-icosahedral symmetries with 20 tetrahedral sub-units. Additionally, a number of other geometries have been reported, which do not readily fit either cubic close packed or icosahedral packing. Many apparently randomly ordered framboids show domains of organized microcrystals, which is consistent with the thesis that microcrystal self-organization evolves with time in the framboid. Similar organized domains are shown in some irregular masses of pyrite microcrystals, suggesting that self-organization and the development of the framboidal shape are largely independent processes.

Active Curation of Large Longitudinal Surveys: A Case Study

In this paper we take an in-depth look at the curation of a large longitudinal survey and activities and procedures involved in moving the data from its generation to the state that is needed to conduct scientific analysis. Using a case study approach, we describe how large surveys generate a range of data assets that require many decisions well before the data is considered for analysis and publication. We use the notion of active curation to describe activities and decisions about the data objects that are “live,” i.e., when they are still being collected and processed for the later stages of the data lifecycle. Our efforts illustrate a gap in the existing discussions on curation. On one hand, there is an acknowledged need for active or upstream curation as an engagement of curators close to the point of data creation. On the other hand, the recommendations on how to do that are scattered across multiple domain-oriented data efforts. In describing the complexities of active curation of survey data and providing general recommendations we aim to draw attention to the practices of active curation, stimulate the development of interoperable tools, standards, and techniques needed at the initial stages of research projects, and encourage collaborations between libraries and other academic units.

Individual Differences in Attention and Intelligence: A United Cognitive/Psychometric Approach

Process overlap theory (POT) is a new theoretical framework designed to account for the general factor of intelligence (g). According to POT, g does not reflect a general cognitive ability. Instead, g is the result of multiple domain-general executive attention processes and multiple domain-specific processes that are sampled in an overlapping manner across a battery of intelligence tests. POT explains several benchmark findings on human intelligence. However, the precise nature of the executive attention processes underlying g remains unclear. In the current paper, we discuss challenges associated with building a theory of individual differences in attention and intelligence. We argue that the conflation of psychological theories and statistical models, as well as problematic inferences based on latent variables, impedes research progress and prevents theory building. Two studies designed to illustrate the unique features of POT relative to previous approaches are presented. In Study 1, a simulation is presented to illustrate precisely how POT accounts for the relationship between executive attention processes and g. In Study 2, three datasets from previous studies are reanalyzed (N = 243, N = 234, N = 945) and reveal a discrepancy between the POT simulated model and the unity/diversity model of executive function. We suggest that this discrepancy is largely due to methodological problems in previous studies but also reflects different goals of research on individual differences in attention. The unity/diversity model is designed to facilitate research on executive function and dysfunction associated with cognitive and neural development and disease. POT is uniquely suited to guide and facilitate research on individual differences in cognitive ability and the investigation of executive attention processes underlying g.

Pengembangan Single Website Application untuk Multiple Domain Menggunakan Laravel Frameworks

Aplikasi website menjadi salah satu komponen penting bagi sebuah perusahaan. Setiap aplikasi website terdaftar ke sebuah alamat domain untuk mengakses aplikasi tersebut. Sebuah website biasanya memiliki sebuah halaman yang bersifat umum dan sebuah halaman private yang digunakan untuk pengelolaan data yang ditampilkan. Tetapi hal ini membuat developed time menjadi lama karena developer perlu membuat dua buah muka website. Laravel frameworks memungkinkan sebuah aplikasi menerima request dari lebih dari 1 domain. Penulis membuat sebuah aplikasi website yang dapat menerima request dari banyak domain, dan memungkinkan pengelolaan semua data hanya menggunakan sebuah muka aplikasi website. Pengujian membuktikan aplikasi yang dibangun dapat mengurangi development time.

Structure of Blood Coagulation Factor VIII in Complex With an Anti-C2 Domain Non-Classical, Pathogenic Antibody Inhibitor

Factor VIII (fVIII) is a procoagulant protein that binds to activated factor IX (fIXa) on platelet surfaces to form the intrinsic tenase complex. Due to the high immunogenicity of fVIII, generation of antibody inhibitors is a common occurrence in patients during hemophilia A treatment and spontaneously occurs in acquired hemophilia A patients. Non-classical antibody inhibitors, which block fVIII activation by thrombin and formation of the tenase complex, are the most common anti-C2 domain pathogenic inhibitors in hemophilia A murine models and have been identified in patient plasmas. In this study, we report on the X-ray crystal structure of a B domain-deleted bioengineered fVIII bound to the non-classical antibody inhibitor, G99. While binding to G99 does not disrupt the overall domain architecture of fVIII, the C2 domain undergoes an ~8 Å translocation that is concomitant with breaking multiple domain-domain interactions. Analysis of normalized B-factor values revealed several solvent-exposed loops in the C1 and C2 domains which experience a decrease in thermal motion in the presence of inhibitory antibodies. These results enhance our understanding on the structural nature of binding non-classical inhibitors and provide a structural dynamics-based rationale for cooperativity between anti-C1 and anti-C2 domain inhibitors.

A connectivity-constrained computational account of topographic organization in high-level visual cortex

Inferotemporal cortex (IT) in humans and other primates is topographically organized, with multiple domain-selective areas and other general patterns of functional organization. What factors underlie this organization, and what can this neural arrangement tell us about the mechanisms of high level vision? Here, we present an account of topographic organization involving a computational model with two components: 1) a feature-extracting encoder model of early visual processes, followed by 2) a model of high-level hierarchical visual processing in IT subject to specific biological constraints. In particular, minimizing the wiring cost on spatially organized feedforward and lateral connections within IT, combined with constraining the feedforward processing to be strictly excitatory, results in a hierarchical, topographic organization. This organization replicates a number of key properties of primate IT cortex, including the presence of domain-selective spatial clusters preferentially involved in the representation of faces, objects, and scenes, within-domain topographic organization such as animacy and indoor/outdoor distinctions, and generic spatial organization whereby the response correlation of pairs of units falls off with their distance. The model supports a view in which both domain-specific and domain-general topographic organization arise in the visual system from an optimization process that maximizes behavioral performance while minimizing wiring costs.

Reaction time intra-individual variability reveals inhibitory deficits in single- and multiple-domain amnestic mild cognitive impairment

Objectives Amnestic mild cognitive impairment (aMCI), a prodromal stage of Alzheimer’s disease and other dementias, is characterized by episodic memory impairment. Recent evidence has shown inhibitory control deficits in aMCI, but the extent of these deficits across inhibitory domains (i.e., response inhibition and interference control) and aMCI subtypes (i.e., single- versus multiple-domain) remains unclear. Few studies have included response time intra-individual variability (RT IIV) in these efforts. The aim of this study was to compare response inhibition and interference control between aMCI subtypes using measures of accuracy, mean RT, and RT IIV. Method We report data from 34 individuals with single-domain aMCI (sdaMCI, 66–86 years), 20 individuals with multiple-domain aMCI (mdaMCI, 68–88 years), and 52 healthy controls (64–88 years) who completed tasks of response inhibition (Go-NoGo) and interference control (Flanker). Group differences in accuracy, mean RT, and RT IIV were examined for both tasks. Results Individuals with mdaMCI had higher RT IIV than the other groups on both tasks. In RT IIV, we observed an interference control deficit in mdaMCI and sdaMCI relative to healthy controls, a finding not observed through accuracy or mean RT. Discussion RT IIV may detect subtle differences in inhibition deficits between aMCI subtypes that may not be evident with conventional behavioral measures. Findings support the supplementary use of RT IIV when assessing early executive function deficits.