Miracle-dz/UniFAR-FTUs huggingface dataset:
A new data-driven intelligent fault diagnosis by using convolutional neural network

Along with the boosting of big data in manufacturing, applying the data-driven analysis method to support the intelligent fault diagnosis becomes a new trend. Recently, deep learning emerged as a potential artificial intelligence technique. It can obtain the features of raw data automatically, which provides a new way to reduce the expert's bias as more as possible and to mine the inherent relationships hidden in data. Convolutional neural network (CNN) is a promoting kind of deep learning. A new intelligent fault diagnosis method based on CNN is proposed in this paper. Firstly, a transformation from signals to images is investigated to deal with the raw signal data in a simple way. Then these images are trained by CNN. The proposed method is tested on the motor bearing dataset from Case Western Reserve University. The results show that the proposed method achieves as high as 99.51% of the prediction accuracy. The good performance of proposed method is also proved by comparing it with other deep learning methods and traditional methods.
Evaluation of the Use of Novel Biomarkers to Augment Antimicrobial Stewardship Program Activities

As antimicrobial stewardship increasingly receives worldwide attention for improving patient care by optimizing antimicrobial therapy, programs are evaluating new tools that may augment antimicrobial stewardship activities. Biomarkers are objective, accurate, and reproducible measures that provide information about medical conditions. A systematic literature search using PubMed/MEDLINE databases was performed to evaluate the use of novel biomarkers as additions to the antimicrobial stewardship armamentarium. Procalcitonin may help clinicians discriminate between bacterial and viral infections, help with antimicrobial discontinuation decisions, and predict mortality. β‐d‐glucan, Candida albicans germ tube antibody, and galactomannan are useful in suspected fungal infections and may reduce inappropriate antifungal use. Adrenomedullin and soluble triggering receptor on myeloid cells‐1 may be useful for mortality prediction and the determination of a need for empiric antibacterials. Although studies evaluating these biomarkers are promising, these biomarkers are not without limitations and should be used in combination with clinical signs, symptoms, or other biomarkers. For successful implementation of biomarker use, stewardship programs should consider the populations most likely to benefit, without using them indiscriminately in all patients. Antimicrobial stewardship programs should facilitate education of clinicians through institutional guidelines to ensure the appropriate use and interpretation of these biomarkers.
The Devil is in the Details: Comparisons of Episodic Simulations of Positive and Negative Future Events

Over the past decade, psychologists have devoted considerable attention to episodic simulation—the ability to imagine specific hypothetical events. Perhaps one of the most consistent patterns of data to emerge from this literature is that positive simulations of the future are rated as more detailed than negative simulations of the future, a pattern of results that is commonly interpreted as evidence for a positivity bias in future thinking. In the present article, we demonstrate across two experiments that negative future events are consistently simulated in more detail than positive future events when frequency of prior thinking is taken into account as a possible confounding variable and when level of detail associated with simulated events is assessed using an objective scoring criterion. Our findings are interpreted in the context of the mobilization-minimization hypothesis of event cognition that suggests people are especially likely to devote cognitive resources to processing negative scenarios.
Perspectives on the Positive and Negative Syndrome Scale (PANSS): Use, misuse, drawbacks, and a new alternative for schizophrenia research.

BACKGROUND In 1987, Kay et al published the Positive and Negative Syndrome Scale (PANSS) and the PANSS manual to address the limitations of existing instruments for schizophrenia research. The PANSS has been one of the most widely used instruments in schizophrenia research-until now. Because of recent advances in neuroscience research, it has become essential to reevaluate the performance of the PANSS since its development 3 decades ago. METHODS A comprehensive literature review of the PANSS from 1987 to 2015 using a PubMed search was conducted. RESULTS Five drawbacks to the PANSS have been cited in the literature. Although several authors have pointed out flaws of the PANSS, no revisions or modifications have been attempted to address them. In addition, some researchers do not use the PANSS as intended by the authors, and other researchers misuse it. CONCLUSIONS The PANSS is a reliable and valid instrument that has served the scientific research community well for decades. New advances in experimental psychopathology and personalized psychiatry and the new National Institute of Mental Health paradigm of Research Domain Criteria necessitate a new instrument compatible with advances in clinical neuroscience research.
Double reversed U shaped meander line slow wave structure

We report the design and simulation of a double reversed U shaped meander line (DR U-ML) slow wave structure (SWS). The DR U-ML SWS has two U-ML with reversed symmetric in one unit. The simulation results show that the pierce impedance of DR U-ML is 15% higher than that of U-ML and the dispersion fluctuation in working frequency is 0.02c of DR U-ML compared with 0.06c of U-ML. The simulation results show that the DR U-ML is suitable for broadband TWT design.
Demonstration of voltage stability by comparing dynamic simulations and quasi steady state analysis

In this paper, Power-Voltage Curves obtained from quasi steady state analysis is used to demonstrate the concept of voltage stability. This method is shown to be applicable to analyze the voltage stability when the load consists of constant admittance as well as dynamic induction motor loads. The results obtained from quasi steady state analysis is compared with the results of detailed real time simulations. As expected, the paper confirms that quasi steady state analysis can be used to predict the voltage collapse point of radial power systems with reasonable accuracy even when the loads consist of dynamic loads. The simulations and analysis programs developed in the research can be used as teaching tools.
Collaborative 3D accessories customization and trading through web interface

This paper presents our experience in prototyping a collaborative 3D modeling platform with the context and purpose of keychain DIY. A comprehensive keychain customization and trading system is therefore developed using latest web and cloud technologies. Under a web interface, a group of users with diversified skills in 3D modeling can interactively design a single 3D content and share their idea more efficiently. By implementing simple version control of 3D models during editing, collaborated parties can rollback or undo certain contributions or modifications based on consensus. A preliminary user study of our proposed collaborative platform and keychain DIY system is carried out to collect constructive opinions and reveals encouraging results. The trial users are generally satisfied with our system performance and find that the web-based 3D collaborative editing is useful in providing better DIY experiences.
TWT output signal denoising based on improved wavelet threshold

Based on hard, soft and semi-soft threshold method, an improved threshold method for TWT output signal is proposed. The mathematical model of wavelet threshold denoising for TWT output signal is established. The experimental signal of TWT is denoised using wavelet threshold method. The results show that SNR increased from 44.55dB to 50.15dB, and the improved wavelet threshold method is better than hard, soft and semi-soft threshold method for the output signal of TWT.
A novel algorithm for locating region of interest in breast ultra sound images

Breast Cancer is a common cancer found in Indian women. The main objective is to automate the process of Breast Cancer detection by identifying the Region of interest. In this paper a novel approach to identify and initialize the region of interest automatically in a Breast Ultrasound image is proposed. We propose Hybrid Improved Speckle reducing anisotropic diffusion filter in the pre-processing stage followed by a novel algorithm to extract the region of interest. Hybrid filter in preprocessing is designed by combining Gaussian blur filter and Modified SRAD filter. To extract the region of interest Black Hat Transform and Simple threshold algorithm is proposed. Modified SRDA is applied on the Gaussian blur image which reduces the speckle and enhances the image to find the ROI. We deploy 2 methods to find the ROI, black hat-transform and Simple Threshold. In this work 180 different BUS images where used out of which 78 where malignant and 102 was benign. Proposed work was applied on these images and got an accuracy of 96%. The proposed work makes the existing CAD system automatic by finding the Region of interest in BUS images.
Complete mitochondrial genome of Upogebia yokoyai (Decapoda, Crustacea) from Jejudo, Korea

Abstract The complete mitochondrial DNA of an ecologically important crustacean mud shrimp, Upogebia yokoyai (Decapoda, Crustacea) was sequenced. We used next generation sequencing strategy for total genomic DNA and organelle genome pipeline for mitogenome assembly. A newly determined mitogenome was 16,063 bp in total length with 28% of GC content. Thirty-seven genes were identified including 13 protein-coding genes, 2 rRNA genes, and 22 tRNA genes. We found ten case of overlapping between neighboring genes. Based on genome comparison, the mitogenome of U. yokoyai shows general crustacean gene content and identical synteny to the sister species, such as U. major and U. pusilla. Our results will provide useful information for mitochondrial genome diversity and evolution of the Crustacea.
Confidence interval of difference of proportions in logistic regression in presence of covariates

Comparison of treatment differences in incidence rates is an important objective of many clinical trials. However, often the proportion is affected by covariates, and the adjustment of the predicted proportion is made using logistic regression. It is desirable to estimate the treatment differences in proportions adjusting for the covariates, similarly to the comparison of adjusted means in analysis of variance. Because of the correlation between the point estimates in the different treatment groups, the standard methods for constructing confidence intervals are inadequate. The problem is more difficult in the binary case, as the comparison is not uniquely defined, and the sampling distribution more difficult to analyze. Four procedures for analyzing the data are presented, which expand upon existing methods and generalize the link function. It is shown that, among the four methods studied, the resampling method based on the exact distribution function yields a coverage rate closest to the nominal.
Long-term exposure to traffic-related air pollution and cancer among survivors of myocardial infarction: A 20-year follow-up study

Background Previous studies suggested a carcinogenic effect of exposure to traffic-related air pollution. Recently, higher rates of cancer incidence were observed among myocardial infarction survivors compared with the general population. We examined the association between chronic exposure to nitrogen oxides, a proxy measure for traffic-related air pollution, and cancer incidence and mortality in a cohort of myocardial infarction patients. Methods Patients aged ≤65 years admitted to hospital in central Israel with a first myocardial infarction in 1992–1993 were followed to 2013 for cancer incidence and cause-specific mortality. Data on sociodemographic and cancer risk factors were obtained, including time-varying information on smoking. Using land use regression models, annual averages of nitrogen oxides during follow-up were estimated individually according to home addresses. Cox proportional hazards models were constructed to study the relationships with cancer outcomes. Results During a mean follow-up of 16 (SD 7) years, 262 incident cancers and 105 cancer deaths were identified among 1393 cancer-free patients at baseline (mean age 54 years; 81% men). In adjusted models, a 10 ppb increase in mean nitrogen oxide exposure was associated with a hazard ratio (HR) of 1.06 (95% confidence interval (CI) 0.96–1.18) for cancer incidence and HR of 1.08 (95% CI 0.93–1.26) for cancer mortality. The association with lung, bladder, kidney or prostate cancer (previously linked to air pollution) was stronger (HR 1.16; 95% CI 1.00–1.33). Conclusions Chronic exposure to traffic-related air pollution may constitute an environmental risk factor for cancer post-myocardial infarction. Variation in the strength of association between specific cancers needs to be explored further.
Artificial Manduca sexta forewings for flapping-wing micro aerial vehicles: how wing structure affects performance

A novel approach to fabricating and testing artificial insect wings has been developed. Utilizing these new techniques, locally harvested hawk moth (Manduca sexta) forewings are compared to engineered forewings with varying wing structures. A number of small, flexible engineered forewings were fabricated with identical planform size and shape but with variations in camber, ribbing, thickness and composition. A series of static and dynamic assessments compares the forewings in terms of structure and performance. Data from these experiments show that the fabrication method can produce artificial forewings with similar properties to that of M. sexta. Flexural stiffness (EI) data shows a maximum percent difference of 41% between the left and right natural M. sexta forewings, whereas engineered forewings have a maximum percent difference of 18%. When deflection is induced from the ventral side of the forewing, EI values are at least 9.1% higher than when it is induced from the dorsal side. According to simulations, approximately 57% of this difference can be attributed to the camber of the forewings. Fabricated forewings produced comparable amounts of lift to natural M. sexta forewings (1.00 gF and 0.96 gF at 25 Hz flapping frequency respectively).
Accuracy based weighted aging ensemble (AB-WAE) — Algorithm for data stream classification

Nowadays, most of the data comes continuously and its distribution may change over the time. Unfortunately, most of classifiers assume that statistical characteristics of used predicting model are not being changed. This work presents modification of the previously proposed Weighted Aging Classifier Ensemble (WAE), called Accuracy Based WAE (AB-WAE), which can easily adapt to the probability characteristic changes caused by so-called concept drift. The proposed model does not exploit a drift detection mechanism, but AB-WAE tries to change the line-up of the classifier ensemble and weights assigned to base classifiers. Thus, one individual classifier is trained on the basis of the each incoming data chunk, then AB-WAE chooses the most valuable ensemble taking into consideration: fixed ensemble size, the previously trained models and new trained classifier. The discussed WAE modification uses the ensemble of homogeneous classifiers only, what allows to employ more sophisticated combination rule based on support functions, what should boost the classification accuracy, what was confirmed by the computer experiments.
Deciphering splicing with sparse regression techniques in the era of high-throughput RNA sequencing. (Etude de l'épissage grâce à des techniques de régression parcimonieuse dans l'ère du séquençage haut débit de l'ARN)

The number of protein-coding genes in a human, a nematodeand a fruit fly are roughly equal.The paradoxical miscorrelation between the number of genesin an organism's genome and its phenotypic complexityfinds an explanation in the alternative natureof splicing in higher organisms.Alternative splicing largely increases the functionaldiversity of proteins encoded by a limitednumber of genes.It is known to be involved incell fate decisionand embryonic development,but also appears to be dysregulatedin inherited and acquired human genetic disorders,in particular in cancers.High-throughput RNA sequencing technologiesallow us to measure and question splicingat an unprecedented resolution.However, while the cost of sequencing RNA decreasesand throughput increases,many computational challenges arise from the discrete and local nature of the data.In particular, the task of inferring alternative transcripts requires a non-trivial deconvolution procedure.In this thesis, we contribute to deciphering alternative transcript expressions andalternative splicing events fromhigh-throughput RNA sequencing data.We propose new methods to accurately and efficientlydetect and quantify alternative transcripts.Our methodological contributionslargely rely on sparse regression techniquesand takes advantage ofnetwork flow optimization techniques.Besides, we investigate means to query splicing abnormalitiesfor clinical diagnosis purposes.We suggest an experimental protocolthat can be easily implemented in routine clinical practice,and present new statistical models and algorithmsto quantify splicing events and measure how abnormal these eventsmight be in patient data compared to wild-type situations.
Overall and Leisure-Time Physical Activity Among Brazilian Adults: National Survey Based on the Global Physical Activity Questionnaire.

BACKGROUND To describe overall physical activity prevalence measured by the Global Physical Activity Questionnaire as well as inequalities in leisure-time physical activity among Brazilian adults (15 y and older). METHODS Data from the Brazilian Survey on Medicine Access, Utilization, and Rational Use of Medicines were analyzed. The study was carried out between September 2013 and February 2014. Physical activity was measured through Global Physical Activity Questionnaire and classified according to the recommendations of the World Health Organization. Additional analysis determined the contribution of each physical activity domain to the total amount of physical activity. Inequalities in terms of sex, age, and socioeconomic position were explored. RESULTS About one-third of the participants (37.1%; 95% confidence interval, 35.5-38.8) were physically inactive. Work-based activities were responsible for 75.7% of the overall physical activity. The prevalence of participants achieving physical activity guidelines considering only leisure-time activities was 17.8% (95% confidence interval, 16.7-19.2). Females and older participants were less active than their counterparts for both overall and leisure-time physical activity; socioeconomic status was positively associated to leisure-time physical activity. CONCLUSIONS Major overall physical activity is attributed to work-related physical activity. Leisure-time physical activity, a key domain for public health, presents important gender and socioeconomic inequalities.
Distribution-free tests of independence in high dimensions

Summary We consider the testing of mutual independence among all entries in a \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$d$\end{document}-dimensional random vector based on \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$n$\end{document} independent observations. We study two families of distribution-free test statistics, which include Kendall’s tau and Spearman’s rho as important examples. We show that under the null hypothesis the test statistics of these two families converge weakly to Gumbel distributions, and we propose tests that control the Type I error in the high-dimensional setting where \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$d >n$\end{document}. We further show that the two tests are rate-optimal in terms of power against sparse alternatives and that they outperform competitors in simulations, especially when \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$d$\end{document} is large.
predMultiLoc-Gneg: Predicting subcellular localization of gram-negative bacterial proteins using feature selection in gene ontology space and resolving the data imbalance issue

Several types of subcellular localization prediction methods have been proposed depending on various classification methods which produce different levels of accuracy. Most of these predictors aim to find the optimal classifier and very few of them consider the issue of simplifying the complexity of biological system. However, there are two important issues that can take place to simplify the complexity of prediction system before developing successful predictor: handling high dimension feature, and overcoming the challenge of large data imbalance in the training data. As a result, in this work, an efficient computational tool named predMultiLoc-Gneg has been constructed to predict the multi-label subcellular localization of gram-negative bacterial proteins by (1) selecting relevant GO (Gene Ontology) terms in order to create a GO subspace which reduces feature dimension in contrast to the whole GO space and extracting GO-based features for a protein by considering only these relevant GO terms, (2) developing a multi-label predictor using support vector machine (SVM) with resolving data imbalance issue. The experimental results demonstrate that the predMultiLoc-Gneg provides remarkably better performance in predicting protein subcellular localization for gram-negative bacterial dataset than the existing top predictors. The web server for the predMultiLoc-Gneg is available at http://research.ru. ac.bd/predMultiLoc-Gneg/
Variation in form of the pyramidal tract and its relationship to digital dexterity.

A morphometric analysis of the pyramidal tract's relation to digital dexterity was performed on data from 69 mammals. The results show that the variation in digital dexterity among mammals corresponds most closely to the variation in place of termination of pyramidal tract fibers within the spinal cord, corresponds less closely to the variation in the size of the tract itself and its constituent fibers, and does not correspond reliably with any other feature yet reported. Since the termination of pyramidal tract fibers on or very near spinal motor neurons is a prerequisite even for the peculiar kind of dexterity seen in some non-primates (e.g., raccoon, kinkajou), this one feature alone seems to be a critical factor.