Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigation of Vibration Signatures for Multiple Fault Diagnosis in Variable Frequency Drives Using Complex Wavelets

Embedded variable frequency induction motor drives are now an integral part of any industry due to their improved speed regulation and fast dynamic response. Hence, their diagnosis becomes vital to avoid downtimes and economic losses. In this paper, a technique based on a recent enhancement on wavelets, known as complex wavelets, is proposed for identifying multiple faults in vector controlled induction motor drives (VCIMDs). Radial, axial, and tangential vibrations are analyzed for diagnostic purpose. Initially, a relatively simple thresholding based method is investigated for feasibility of diagnosis under variable frequency and load conditions. In the second part, the feature extraction and classifier modeling are discussed, in which the nearly shift-invariant complex wavelet based model is compared with the discrete wavelet transform (DWT) for its applicability in detecting multiple faults. The fault conditions considered here are the most prominent ones such as interturn fault, interturn fault under progression, and bearing damage. Comparable performances of support vector machine (SVM) based models and simple technique based on k-nearest neighbor (k-NN) show the importance of efficient representation of input space by analytical wavelet based feature extraction. The performance indexes show the applicability of the scheme for industrial drives under variable frequencies and load conditions.
Implement of cooperative navigation in pedestrian navigation based on distance restraint

The method of cooperative navigation is proposed in this study to solve the terrible results of the indoor pedestrian navigation due to GPS information unavailable and the serious divergence of inertial navigation. To improve the pedestrian navigation accuracy, the paper designs a cooperative pedestrian navigation system which is based on the distance restraint between the pedestrians and applies the information filter to get the navigation result. The experiment is designed to prove the effectiveness of cooperative pedestrian navigation using the MIMU and UWB measurement equipment. The final results show that the interactive fusion of navigation information for each pedestrian is achieved and the divergence of the navigation results is restrained.
Detection and prevention of medication misadventures in general practice.

BACKGROUND Adverse drug events are leading categories of iatrogenic patient injury. Development of preventive strategies for general practice setting depends on effective detection of events. OBJECTIVE The aim of the study is to compare the strengths and weaknesses of voluntary reporting, chart review and patient survey in measuring medication misadventures in general practice and to analyze the events by severity and preventability, drug groups and patients' and doctors' characteristics, for the formulation of preventive strategies. METHOD In the 2-month study period, we applied voluntary report, chart review and patient survey to collect data related to medication misadventures and compared their detection rate. RESULTS The chart review demonstrated the highest yield for detecting overall medication misadventures (2.03% medication orders), followed by patient survey (1.46% medication orders) and voluntary reporting (0.52% medication orders). Chart review and patient survey were better than voluntary reporting in uncovering preventable adverse drug events. However, voluntary reporting was pivotal in capturing sentinel events. Beta-blocker, diuretic, angiotensin-converting enzyme inhibitor, aspirin and non-steroidal anti-inflammatory drugs had caused 82.0% of all adverse drug events. These events were more common with advanced age of patients, greater number of consultation problems and prescribed drug items. Additional resources implicated were minimal. CONCLUSION We suggested a complementary approach using chart review and voluntary reporting in measuring and monitoring medication misadventures in general practice. Close monitoring of the events was necessary for older patients, multiple medical problems and poly-pharmacy and for patients using beta-blocker, diuretic, angiotensin-converting enzyme inhibitor, aspirin or non-steroidal anti-inflammatory drugs on a long-term basis.
Oxaliplatin added to fluoropyrimidine for adjuvant treatment of colorectal cancer is associated with long-term impairment of peripheral nerve sensory function and quality of life

Abstract Background: Oxaliplatin-induced peripheral neuropathy (OIPN) of acute and chronic type is well known, but long-term chronic type OIPN and its impact on quality of life (QoL) has not been extensively studied. Clinical experience indicates that oxaliplatin tolerance might vary with climate. Material and methods: Patient-reported chronic type OIPN and QoL among patients treated with oxaliplatin added to a fluoropyrimidine (Folfox or Capox) in the adjuvant setting of colorectal cancer (CRC) were assessed in a single center cross-sectional study by using the EORTC QLQ-CIPN20 and QLQ-C30 questionnaires. Comparison was made to patients treated with a fluoropyrimidine (5-FU or capecitabine) alone during the same time period. Results: Of 161 patients being disease-free 1–8 years after stop of treatment and invited, 84% participated; 65 treated with oxaliplatin and 71 with a fluoropyrimidine alone. Mean cumulative oxaliplatin dose was 567 mg/m2 (55% of planned dose). Oxaliplatin-treated patients reported statistically and clinically significant worse sensory as well as motor scale scores, dominated by symptoms from the feet. Severe tingling and numbness in toes/feet was reported by 38% and 37%, respectively, by oxaliplatin-treated patients compared with 8% for both by fluoropyrimidine alone patients (p < 0.001). Subgroup analyses indicated no impact of gender, age, regimen, time since stop of treatment or cumulated oxaliplatin dose for severity of the chronic type OIPN. The oxaliplatin compared with the fluoropyrimidine group reported worse QoL scores throughout all domains, with statistically and clinically significant differences for role and social function, nausea/loss of appetite and financial problems. Conclusions: Oxaliplatin added to a fluoropyrimidine for adjuvant treatment of CRC in a country with subarctic climate is associated with long-term, seemingly chronic, sensory neuropathy and impairment of QoL. This should be taken into account in clinical decision making on oxaliplatin treatment in the adjuvant setting.
A fuzzy methodology for innovation management measurement

Purpose Innovation has been recognized as one of the main sources of competitive advantage for organizations and nations. The purpose of this study is to present an innovation management measurement approach by applying fuzzy techniques to small- and medium-sized manufacturing enterprises. Design/methodology/approach This study presents a survey focusing on seven innovation measurement areas: innovation strategy, knowledge management, project management, portfolio management, internal enablers, organization and structure and external enablers. A total of 91 small- and medium-sized enterprises (SMEs) located in the city of Morelia, Mexico, participated in the study. Furthermore, the data collected were analyzed under a multi-criteria decision-making approach using the theory of expertons and the induced generalized ordered weighted averaging operator. Findings The results show that the most valued areas are innovation strategy, organization and structure, knowledge management and project management. Furthermore, portfolio management, external drivers and internal drivers are the areas with the lowest valuations. Originality/value This paper presents an original methodological structure based on an expertise process designed to achieve well-founded results from uncertain and subjective opinions directly from the managers of the surveyed SMEs.
Native and engineered clifednamide biosynthesis in multiple Streptomyces spp

Polycyclic tetramate macrolactam (PTM) natural products are produced by actinomycetes and other bacteria. PTMs are often bioactive, and the simplicity of their biosynthetic clusters make them attractive for bioengineering. Clifednamide-type PTMs from Streptomyces sp. JV178 contain a distinctive ketone group, suggesting the existence of a novel PTM oxidizing enzyme. Here, we report the new cytochrome P450 enzyme (CftA) is required for clifednamide production. Genome mining was used to identify several new clifednamide producers, some having improved clifednamide yields. Using a parallel synthetic biology approach, CftA isozymes were used to engineer the ikarugamycin pathway of Streptomyces sp. NRRL F-2890 to yield clifednamides. Further, we observed that strong CftA expression leads to the production of a new PTM, clifednamide C. We demonstrate the utility of both genome mining and synthetic biology to rapidly increase clifednamide production and identify a PTM tailoring enzyme for rational molecule design.
Power Consumption Based Android Malware Detection

In order to solve the problem that Android platform’s sand-box mechanism prevents security protection software from accessing effective information to detect malware, this paper proposes a malicious software detection method based on power consumption. Firstly, the mobile battery consumption status information was obtained, and the Gaussian mixture model GMM was built by using Mel frequency cepstral coefficients MFCC. Then, the GMM was used to analyze power consumption; malicious software can be classified and detected through classification processing. Experiment results demonstrate that the function of an application and its power consumption have a close relationship, and our method can detect some typical malicious application software accurately.
Severity of burn injury and sepsis determines the cytokine responses of bone marrow progenitor-derived macrophages.

BACKGROUND Although thermal injury and sepsis result in enhanced monocytopoiesis, the functional characteristics of macrophages that develop in the microenvironment of burn and sepsis are unknown. Here we compare cytokine responses of bone marrow progenitor-derived macrophages (BMO) and peritoneal macrophages (PMO) after graded levels of thermal injury and sepsis. METHODS Mice were randomly divided into sham (S), burn (B), and burn sepsis (BS) groups. The mild injury group received either a 7-second dorsal scald burn alone or in combination with 1,000 colony forming units (CFU) Pseudomonas aeruginosa at the wound site. The severe injury group was subjected to a 10-second burn with or without inoculation of 5,000 CFU P. aeruginosa. ER-MP12+ progenitors were separated from bone marrow cells 72 hour after injury. Macrophage colony stimulating factor (M-CSF) and Granulocyte-macrophage colony stimulating factor (GM-CSF) responsive clonogenic potentials, and lipopolysaccharide (LPS)-stimulated cytokine production were determined. RESULTS In mild injury and sepsis, GM-CSF and M-CSF responsive clonal growth of ER-MP12+ progenitors was enhanced in the B and BS groups compared with the S group. M-CSF responsive colony growth in severe sepsis was significantly higher than that in all the other groups. LPS-stimulated tumor necrosis factor-alpha and Interleukin-6 levels were higher in the B and BS groups compared with the S group. Severe injury and sepsis attenuated this response significantly. The cytokine responses of PMO from both injury groups were similar to that of BMO. CONCLUSION Severity of burn injury and the magnitude of sepsis influence the cytokine responses of BMO and PMO in a similar manner suggesting the microenvironment of burn injury and sepsis profoundly influence the functional phenotype of BMO.
Assessing the performance of DNA barcoding using posterior predictive simulations

Accurate estimates of biodiversity are required for research in a broad array of biological subdisciplines including ecology, evolution, systematics, conservation and biodiversity science. The use of statistical models and genetic data, particularly DNA barcoding, has been suggested as an important tool for remedying the large gaps in our current understanding of biodiversity. However, the reliability of biodiversity estimates obtained using these approaches depends on how well the statistical models that are used describe the evolutionary process underlying the genetic data. In this study, we utilize data from the Barcode of Life Database and posterior predictive simulations to assess the performance of DNA barcoding under commonly used substitution models. We demonstrate that the success of DNA barcoding varies widely across DNA substitution models and that model choice has a substantial impact on the number of operational taxonomic units identified (changing results by ~4–31%). Additionally, we demonstrate that the widely followed practice of a priori assuming the Kimura 2‐parameter model for DNA barcoding is statistically unjustified and should be avoided. Using both data‐based and inference‐based test statistics, we detect variation in model performance across taxonomic groups, clustering algorithms, genetic divergence thresholds and substitution models. Taken together, these results illustrate the importance of considering both model selection and model adequacy in studies quantifying biodiversity.
To extract informative content from online web pages by using hybrid approach

In the web pages contains large and vast amount of data, which is rich source of information available to everyone in the world through Internet. However the web page is combination of noisy data like navigational link, advertisements, menus, footer, etc and informative data, so the complexity may increases for main content extraction from web pages. To access main content hand crafted rule technique were used which contain string manipulation functions but preparing these rules becomes much difficult task for the users. So we present a hybrid approach for extracting main content from the web pages. This approach is based on combination of automatic extraction and hand crafted rules techniques. The propose work is mainly focus on automatic extraction technique in which automatic rules are created instead of manual hand crafted rule creation. In this the web page is converted into DOM tree and features are extracted. Use this features in the machine leaning method like decision tree classification and dynamic rules are created. By using these rules informative content is extracted from the web pages. Further the rules which are created in the automatic extraction technique used as hand crafted rule for content extraction from the web pages without using machine learning method. Here the informative content like relevant text, images, multimedia are extracted from the web pages and these web pages are taken from the Internet i.e. Online. And also consider dataset for extracting relevant content. The propose work generates effective rules, achieve automaticity and efficiency.
Analysis of Traction System Time-Varying Signals using ESPRIT Subspace Spectrum Estimation Method

Auxiliary static converters in transportation power systems generate non-stationary waveforms, which contain not only characteristic harmonics but also non-characteristic harmonics and interharmonics. Standard tools of harmonic analysis based on the Fourier transform are not suitable for its analysis. Representation of signals in time and frequency domain has been of interest in signal processing areas for many years, especially taking into account time-varying non-stationary signals, which appear in industrial power converters. In this paper, the ESPRIT method is tested for accurate and detail-rich estimation of parameters of currents in the power supply of auxiliary devices in traction systems, also interharmonic frequencies with their changes in time
Boundary Effects on the Determination of Electromagnetic Properties of Bianisotropic Metamaterials From Scattering Parameters

A retrieval method is proposed for determination of electromagnetic properties of bianisotropic metamaterial (MM) slabs involving boundary effects from electric and magnetic surface susceptibilities. To achieve this, we derived two characteristic functions for wave impedances by the application of generalized sheet transition conditions from which electromagnetic constitutive parameters are determined using scattering (S-) parameters of a pair of slabs with different lengths. We applied our method for extraction of electromagnetic parameters of an Ω-shaped MM slab. From our analysis, we noted the following main results. First, when compared with other methods that do not consider boundary effects, we noted that our method retrieves reference-plane-invariant and thickness-independent electromagnetic properties provided that higher order wave interactions at interfaces are negligible when considering two separate pairs of MM slabs differing by the same length and when the accuracy of simulations (meshing size) is improved. Second, extracted constitutive parameters are in good agreement with the locality conditions over which our model is constructed. Third, extracted electric surface susceptibilities at interfaces are correspondingly greater than magnetic surface susceptibilities due to strong electric resonance of the Ω-shaped MM slab.
Postpartum Circulating Markers of Inflammation and the Systemic Acute-Phase Response After Early-Onset Preeclampsia

Preeclampsia is an inflammatory-mediated hypertensive disorder of pregnancy and seems to be an early indicator of increased cardiovascular risk, but mechanisms underlying this association are unclear. In this study, we identified levels of circulating inflammatory markers and dynamic changes in the systemic acute-phase response in 44 women with a history of severe early-onset preeclampsia, compared with 29 controls with only uneventful pregnancies at 1.5 to 3.5 years postpartum. Models used were in vivo seasonal influenza vaccination and in vitro whole-blood culture with T-cell stimulants and the toll-like receptor-4 ligand lipopolysaccharide. Outcome measures were C-reactive protein, interleukin-6 (IL-6), IL-18, fibrinogen, myeloperoxidase, and a panel of 13 cytokines representative of the innate and adaptive inflammatory response, in addition to established cardiovascular markers. The in vivo acute-phase response was higher for women with previous preeclampsia than that for controls without such a history, although only significant for C-reactive protein (P=0.04). Preeclampsia was associated with higher IL-1&bgr; (P<0.05) and IL-8 (P<0.01) responses to T-cell activation. Hierarchical clustering revealed 2 distinct inflammatory clusters associated with previous preeclampsia: an adaptive response cluster associated with increased C-reactive protein and IL-6 before and after vaccination, increased weight, and low high-density lipoprotein cholesterol; and a toll-like receptor-4 mediated the cluster associated with increased IL-18 before and after vaccination but not associated with other cardiovascular markers. Furthermore, we found interactions between previous preeclampsia, common TLR4 gene variants, and the IL-18 response to vaccination. In conclusion, preeclampsia is associated with alterations in the inflammatory response postpartum mostly independent of other established cardiovascular risk markers.
A unified view of ligand-protected gold clusters as superatom complexes

Synthesis, characterization, and functionalization of self-assembled, ligand-stabilized gold nanoparticles are long-standing issues in the chemistry of nanomaterials. Factors driving the thermodynamic stability of well documented discrete sizes are largely unknown. Herein, we provide a unified view of principles that underlie the stability of particles protected by thiolate (SR) or phosphine and halide (PR3, X) ligands. The picture has emerged from analysis of large-scale density functional theory calculations of structurally characterized compounds, namely Au102(SR)44, Au39(PR3)14X6−, Au11(PR3)7X3, and Au13(PR3)10X23+, where X is either a halogen or a thiolate. Attributable to a compact, symmetric core and complete steric protection, each compound has a filled spherical electronic shell and a major energy gap to unoccupied states. Consequently, the exceptional stability is best described by a “noble-gas superatom” analogy. The explanatory power of this concept is shown by its application to many monomeric and oligomeric compounds of precisely known composition and structure, and its predictive power is indicated through suggestions offered for a series of anomalously stable cluster compositions which are still awaiting a precise structure determination.
Methods for calculating the electrode position Jacobian for impedance imaging

Electrical impedance tomography (EIT) or electrical resistivity tomography (ERT) current and measure voltages at the boundary of a domain through electrodes. Significance: The movement or incorrect placement of electrodes may lead to modelling errors that result in significant reconstructed image artifacts. These errors may be accounted for by allowing for electrode position estimates in the model. Movement may be reconstructed through a first-order approximation, the electrode position Jacobian. A reconstruction that incorporates electrode position estimates and conductivity can significantly reduce image artifacts. Conversely, if electrode position is ignored it can be difficult to distinguish true conductivity changes from reconstruction artifacts which may increase the risk of a flawed interpretation. Objective: In this work, we aim to determine the fastest, most accurate approach for estimating the electrode position Jacobian. Approach: Four methods of calculating the electrode position Jacobian were evaluated on a homogeneous halfspace. Main results: Results show that Fréchet derivative and rank-one update methods are competitive in computational efficiency but achieve different solutions for certain values of contact impedance and mesh density.
Federal Reserve Bank of New York Staff Reports The Cost of Business Cycles for Unskilled Workers Toshihiko

This paper reconsiders the cost of business cycles under incomplete markets. Primarily, we focus on the heterogeneity in the cost of business cycles among agents with different skill levels. Unskilled workers are subject to a much larger risk of unemployment during recessions than are skilled workers. Moreover, unskilled workers earn less income, which limits their ability to self-insure. We examine how this heterogeneity in unemployment risk and income translates into heterogeneity in the cost of business cycles. We set up a dynamic general equilibrium model with incomplete markets, in which there is heterogeneity in skills, employment status, asset holding, and the discount factor. We find that the welfare cost of business cycles for unskilled workers is substantially higher than that for skilled workers.
Regularization of DT-MRI Using 3D Median Filtering Methods

DT-MRI (diffusion tensor magnetic resonance imaging) tractography is a method to determine the architecture of axonal fibers in the central nervous system by computing the direction of the principal eigenvectors obtained from tensor matrix, which is different from the conventional isotropic MRI. Tractography based on DT-MRI is known to need many computations and is highly sensitive to noise. Hence, adequate regularization methods, such as image processing techniques, are in demand. Among many regularization methods we are interested in the median filtering method. In this paper, we extended two-dimensional median filters already developed to three-dimensional median filters. We compared four median filtering methods which are two-dimensional simple median method (SM2D), two-dimensional successive Fermat method (SF2D), three-dimensional simple median method (SM3D), and three-dimensional successive Fermat method (SF3D). Three kinds of synthetic data with different altitude angles from axial slices and one kind of human data from MR scanner are considered for numerical implementation by the four filtering methods.