Miracle-dz/UniFAR-FTUs huggingface dataset:
Proposed framework for multi-level extreme machine learning for underwater thruster's fault classification using YIN fundamental frequency estimator and pitch sound

Unmanned underwater vehicles (UUV) have been used for many ocean related applications such as scientific exploration, surveillance, marine development, marine engineering and military purposes. However, the risk of damage or loss of property for unmanned underwater vehicle is often a major concern and thruster had been found to be the most common source of faults. Based on the audio recordings using a hydrophone on different thruster's state such as broken propeller fin and propeller entangled with seaweed, fundamental frequency (by YIN fundamental frequency estimator), pitch and root-mean squared (RMS) are extracted for multi-level extreme learning machine (ELM) to perform classification of thruster's faults. However, multi-level machine learning is often built on binary classification for each level with same parameters for each level may not be the most optimal to build a multi-level machine learning. In this paper, a new framework for multi-level ELM is developed using chi-square value that can obtain the optimal parameters from the list of inputs at each level using least number of parameters. Based on this framework, ELM can achieve a 100% accuracy and a comparison to different machine learning algorithms such as Decision Tree and Support Vector Machine using the same parameters show similar accuracy.
Characteristics of the trauma recidivist: an exploratory descriptive study.

INTRODUCTION The purpose of this study was to identify characteristics and perceptions of trauma recidivists. Information obtained from this study will help health care professionals better understand trauma patients and design more effective trauma prevention programs. METHODS An exploratory descriptive, correlational design was used. A convenience sample of 100 trauma patients entering a midwestern university medical center were studied. A demographic chart review and a personal interview consisting of 29 questions were conducted for each subject. The interview questions sought information regarding high-risk behavior, risk-taking personality traits, safety precautions used, and social, psychological, and environmental factors surrounding the patient's traumatic event. RESULTS Thirty-six percent of trauma patients studied were recidivists. The recidivist was more likely to be male, younger than 45 years, a member of a racial minority, single, uninsured, and have less than 12 years of education. Behavioral characteristics common to most recidivists included a history of past arrests, illegal drug use, and having witnessed past violent injuries. DISCUSSION Trauma remains one of the most devastating diseases facing americans. Characteristics of trauma recidivists have been identified, and further research is needed to test possible interventions to curb the unnecessary trauma injuries that occur every day.
SAR Image Segmentation Using the Roughness Information

Image segmentation can be applied to a broad class of different problems. However, it is not usually a simple task for synthetic aperture radar (SAR) images due to the presence of speckle. Given the importance of SAR images in remote sensing problems, this letter introduces a simplified and general methodology to achieve SAR image segmentation by using the estimated roughness parameters of SAR data modeled by GI0 and GA0 distributions, instead of directly processing the speckled images. In this letter, we adopted the log-cumulants method for the roughness parameter estimation. The performance evaluation of the results was attained in terms of the error of segmentation and cross-region fitting measures for synthetic and real SAR images, respectively. With regard to synthetic images, we performed Monte Carlo experiments which confirmed the suitability of SAR image segmentation by means of roughness parameters. The results showed that the methodology provides a feasible input to SAR image segmentation algorithms which also include thresholding-based methods. The proposed approach accomplished satisfactory results for the most interesting and critical study case, i.e., the single-look images, which are markedly affected by speckle.
What we have learned from the next-generation sequencing: Contributions to the genetic diagnoses and understanding of pathomechanisms of neurodegenerative diseases

Since its first availability in 2009, the next-generation sequencing (NGS) has been proved to be a powerful tool in identifying disease-associated variants in many neurological diseases, such as spinocerebellar ataxias, Charcot–Marie–Tooth disease, hereditary spastic paraplegia, and amyotrophic lateral sclerosis. Whole exome sequencing and whole genome sequencing are efficient for identifying variants in novel or unexpected genes responsible for inherited diseases, whereas targeted sequencing is useful in detecting variants in previously known disease-associated genes. The trove of genetic data yielded by NGS has made a significant impact on the clinical diagnoses while contributing hugely on the discovery of molecular pathomechanisms underlying these diseases. Nonetheless, elucidation of the pathogenic roles of the variants identified by NGS is challenging. Establishment of consensus guidelines and development of public genomic/phenotypic databases are thus vital to facilitate data sharing and validation.
Current control for third-harmonic injection two-stage matrix converter under unbalanced input voltages

A predictive control scheme for the third-harmonic injection two-stage matrix converter (3TSMC) under unbalanced input voltages is presented. The proposed scheme is designed to predict the future behavior of the third-harmonic injection current and load currents respectively for each valid switching state. The control scheme selects the state that minimizes the error between the predicted currents and references. For the 3TSMC, the input currents are synthetized by the injection current. In order to keep sinusoidal input currents under unbalanced input voltages, the reference of the third-harmonic injection current is obtained by symmetrical component extraction. Firstly, this paper introduces the proposed control method, including establishing the discrete-time model and selecting cost functions. Then, the extraction for the reference of injection current is presented. Finally, this paper shows the simulation results to demonstrate that the proposed control method can generate good tracking of input and output currents under unbalanced input voltages.
What is postgraduate marketing education for? observations from the UK

Purpose – This paper seeks to highlight the significance of the recent debate on the “academic‐practitioner divide” for postgraduate marketing education in terms of informing objectives, chosen scope and structure and service provision.Design/methodology/approach – Data were collected on 60 programmes at 45 UK higher education institutions (HEIs) by desk research and from 129 PG students enrolled at five British Universities by means of a questionnaire.Findings – It was found that these were close parallels between PG and UG programmes in the UK. From the perspective of students intending to become marketing practitioners, five key strengths and weaknesses of current marketing education provision were identified.Research limitations/implications – Data on current PG marketing programmes was only collected from a sample of UK HEI's and not internationally. Data from students was collected only from five UK Universities.Practical implications – Suggestions are made for the ways and means by which PG program.
A Longitudinal Study of the Corporate Life Cycle

A review of recent literature on the corporate life cycle disclosed five common stages: birth, growth, maturity, revival, and decline. Theorists predicted that each stage would manifest integral complementarities among variables of environment "situation", strategy, structure and decision making methods; that organizational growth and increasing environmental complexity would cause each stage to exhibit certain significant differences from all other stages along these four classes of variables; and that organizations tend to move in a linear progression through the five stages, proceeding sequentially from birth to decline. These contentions were tested by this study. A sample of 161 periods of history from 36 firms were classified into the five life cycle stages using a few attributes deemed central to each. Analyses of variance were performed on 54 variables of strategy, structure, environment and decision making style. The results seemed to support the prevalence of complementarities among variables within each stage and the predicted inter-stage differences. They did not, however, show that organizations went through the stages in the same sequence.
Thermal Sensitivity of Aedes aegypti from Australia: Empirical Data and Prediction of Effects on Distribution

ABSTRACT An understanding of physiological sensitivity to temperature and its variability is important for predicting habitat suitability for disease vectors under different climatic regimes. In this study, we characterized the thermal sensitivity of larval developmental rates and survival in several Australian mainland populations of the dengue virus vector Aedes aegypti. Males developed more rapidly than females, but there were no differences among populations for development time or survival despite previously demonstrated genetic differentiation for neutral markers. Optimal development and survival temperatures were 37°C and 25°C, respectively. The values for maximal development and survival were similar to standard functions used in the container inhabiting simulation (CIMSIM) model for predicting population dynamics of Ae. aegypti populations, but CIMSIM assumed a lower optimal temperature. Heat stress experiments indicated that larvae could withstand water temperatures up to 44°C regardless of the rate at which temperature was increased. Results from development time measured under constant temperatures could predict development time under fluctuating conditions, whereas CIMSIM predicted faster rates of development. This difference acts to reduce the predicted potential number of generations of Ae. aegypti per year in Australia, although it does not influence its predicted distribution, which depends critically on the nature of the aquatic breeding sites.
Prognostic Factors for Mid-Term Symptom Relief after Open Surgical Correction for Femoroacetabular Impingement

Background We sought to identify, which patient and radiographic factors at preoperative and 1-year follow up will predict patient symptom relief at mid-term. Materials and methods A total of 50 hips in 47 patients with symptomatic FAI were included in this retrospective study. We stratified the hips into “success” and “failure” groups based on the change from baseline to mid-term follow up WOMAC pain score (mean follow up of 5.8 years). An attempt was made to identify factors that are predictive of mid-term outcome among preoperative radiographic measures, dGEMRIC index, range of motion and WOMAC score as well as 1-year follow-up range of motion, radiographic measures, and WOMAC pain scores. Results At 1-year follow up, the success rate was 72% (36/50) and at mid-term follow the success rate increased to 82% (41/50). There were no significant associations between mid-term pain scores and baseline factors (all p-values ≥0.10). One-year pain score and hip internal rotation was associated with poor mid-term pain scores but only the 1-year pain score was associated with the mid-term success/failure outcome. Conclusions We did not identify clear preoperative predictors of mid-term results but patients with poor pain scores and limited hip internal rotation at 1-year follow-up are less likely to do well at mid-term.
The impact of TQM implementation on the organizational performance of Iranian manufacturing SMEs

Purpose – The purpose of this study is to provide reliable and valid constructs of total quality management (TQM) and a measurement instrument in the context of Iranian manufacturing small to medium‐ sized enterprises (SMEs) and to examine the effects of these seven TQM criteria, namely: leadership, process management, supplier, customer focus, employee management, communication and quality information system (QIS) and tools and techniques on the organizational performance of the Iranian manufacturing SMEs.Design/methodology/approach – In order to search the impact of TQM practices on Iranian manufacturing SMEs a questionnaire was developed and distributed to quality managers of 65 Iranian manufacturing SMEs, resulting in a response rate of 81.5 percent. In particular, hypotheses were developed to evaluate the impact of TQM implementation on the organizational performance of the manufacturing SMEs.Findings – Statistical analysis revealed that a number of significant relationships between TQM practices and.
A Practical Python API for Querying AFLOWLIB

Large databases such as this http URL provide valuable data sources for discovering material trends through machine learning. Although a REST API and query language are available, there is a learning curve associated with the AFLUX language that acts as a barrier for new users. Additionally, the data is stored using non-standard serialization formats. Here we present a high-level API that allows immediate access to the aflowlib data using standard python operators and language features. It provides an easy way to integrate aflowlib data with other python materials packages such as ase and quippy, and provides automatic deserialization into numpy arrays and python objects. This package is available via "pip install aflow".
Inhibition of 4EBP phosphorylation mediates the cytotoxic effect of mechanistic target of rapamycin kinase inhibitors in aggressive B-cell lymphomas

Mechanistic target of rapamycin (mTOR) complex 1 is a central integrator of nutrient and growth factor inputs that controls cell growth in eukaryotes. The second generation of mTOR kinase inhibitors (TORKi), directly targeting the mTOR catalytic site, are more effective than rapamycin and its analogs in cancer treatment, particularly in inducing apoptosis. However, the mechanism underlying the cytotoxic effect of TORKi remains elusive. Herein, we demonstrate that TORKi-induced apoptosis is predominantly dependent on the loss of mTOR complex 1-mediated 4EBP activation. Knocking out RICTOR, a key component of mTOR complex 2, or inhibiting p70S6K has little effect on TORKi-induced apoptosis. Conversely, increasing the eIF4E:4EBP ratio by either overexpressing eIF4E or knocking out 4EBP1/2 protects lymphoma cells from TORKi-induced cytotoxicity. Furthermore, downregulation of MCL1 expression plays an important role in TORKi-induced apoptosis, whereas BCL-2 overexpression confers resistance to TORKi treatment. We further show that the therapeutic effect of TORKi in aggressive B-cell lymphomas can be predicted by BH3 profiling, and improved by combining it with pro-apoptotic drugs, especially BCL-2 inhibitors, both in vitro and in vivo. Taken together, the study herein provides mechanistic insight into TORKi cytotoxicity and identified a potential way to optimize its efficacy in the clinical treatment of aggressive B-cell lymphoma.
Foreign Trade of Manufactures and Men and Women’s Employment and Earnings in Germany and Japan

Using factor content analysis, this paper provides estimates of the effects of manufacturing trade expansion on men and women's employment in Germany and Japan, with breakdowns by world, OECD, and non-OECD trade. Evidence is found that foreign trade expansion had a more negative effect on women's than men's manufacturing employment in Japan and a roughly equal effect in Germany, with the difference between the countries driven by non-OECD trade. In spite of this, demand shifted away from women's manufacturing employment in Germany after the early-1970s, for both the manufacturing sector as a whole and for manufacturing industries with high female shares of employment, while no such labor demand shifts occurred in Japan. In the face of these differences in labor demand and of very similar increases in female labor supply, male-female hourly wage differences narrowed in Germany and widened in Japan, for both manufacturing and non-agricultural employees. It is concluded that shifts in neither labor supply nor labor demand fit with observed trends of male-female wage differences in Germany and Japan.
AIDS: Clinical and Ethical Issues on a Psychiatric Unit*

Using a case illustration, this paper describes how AIDS has affected psychiatric practice on an inpatient unit. The clinical, ethical and administrative issues are discussed from a multi-disciplinary perspective. The issues are discussed as 1. clinical issues (diagnostic and management), 2. effects on ward milieu, 3. staff issues, 4. family counselling and discharge planning and 5. administrative issues. It is important for inpatient staff to discuss these issues and develop clinical guidelines and administrative procedures that will help staff provide the highest level of care possible. Because every patient is potentially an HIV carrier, many of the solutions developed around AIDS related concerns should apply to all patients on a psychiatric ward.
Personal Values as a Mediator of Relations Between Perceived Parental Support and Control and Youth Substance Use

ABSTRACT Background: Tobacco and marijuana smoking are very popular in adolescence and there is a high rate of comorbidity between them, even in young adulthood. Parental support and control may hinder involvement in the use of these substances by promoting conventional values among adolescents. Objectives: The present study investigates the relations between family functioning (parental support and control) and psychoactive substance use (tobacco and marijuana smoking) and determines whether these relationships are mediated by personal values (in terms of disapproval of deviance and beliefs about the importance of school, health and religion). Methods: 175 Italian late adolescents (17 to 20 years old) participated in this two-wave longitudinal study. Data were collected at school through an anonymous questionnaire. Results: Greater parental control and support were directly associated with lower adolescent tobacco and marijuana use; adolescent acceptance of conventional values mediated the association between parenting and adolescent marijuana use. Conclusion: Findings emphasize the influence of family relationships throughout adolescence. The transmission of conventional values to adolescents may be a critical mechanism through which parenting protects adolescents from substance use, especially marijuana use.
The Diagnostic Accuracy of 64-Detector Cardiac Computed Tomography Compared With Stress Nuclear Imaging in Patients Undergoing Invasive Cardiac Catheterization

Objective: The aim of this study was to evaluate the diagnostic accuracy of nuclear stress imaging as compared with noninvasive coronary artery imaging using 64-detector row cardiac computed tomography. Background: Compared with invasive coronary angiography, multidetector row cardiac computed tomographic angiography (CTA) has shown promise in the accurate detection of coronary stenosis. Myocardial perfusion imaging (MPI) using single photon emission computed tomography is an established method for noninvasively assessing the functional significance of coronary stenosis. This study compared the accuracy of CTA and that of MPI in the detection of relevant lesions of coronary arteries. Methods: One hundred twenty-two symptomatic patients (77% males) with cardiac catheterization who also underwent MPI and CTA evaluations within 6 months at 2 centers were included. Comparison of CTA for lesions causing greater than 50% and greater than 70% coronary narrowing versus respective lesions on invasive cardiac catheterization (IC) was performed. Similarly, comparison of MPI findings with greater than 50% and greater than 70% lesions on IC was done. Results: The per-patient sensitivity, specificity, and positive and negative predictive values in detecting greater than 50% coronary lesions on IC for CTA were 98.9%, 74.2%, 91.8%, and 95.8%, respectively; and for MPI, 56%, 38.7%, 72.9%, and 23%, respectively. The sensitivity, the specificity, and the positive and negative predictive values in detecting greater than 70% coronary lesions on IC for CTA were 89.7%, 86.4%, 92.1%, and 82.6%, respectively; and for MPI, 57.7%, 43.2%, 64.3%, and 36.5%, respectively. The prevalence of significant coronary artery disease on cardiac catheterization was 74.6% for greater than 50% stenosis and 63.9% for greater than 70% stenosis. Conclusions: Compared with MPI, CTA provided important information and identified significant lesions in symptomatic intermediate- to high-risk patients. Cost-effective and prospective multicentered studies, currently underway, are needed to further establish the best use of these diagnostic tests in the evaluation of coronary artery disease.
Load leveling control by Real-Time Dynamical pricing based on Steepest Descent Method

This paper describes load leveling control by Real-Time Dynamical pricing based on optimization method. First, we propose a profit maximization problem of supply and demand, satisfying the supply constraint and the balance between supply and demand. Then we rewrite them to dual problem which minimizes electricity price. We made algorithm to solve the dual problem by Steepest Descent Method and proof its convergence. Finally some numerical simulations show the effectiveness of the proposed load leveling control.
Fast Cost Computation Using Binary Information for Illumination Invariant Stereo Matching

Stereo matching methods are used to estimate disparity values from captured stereo images. They exploit characteristics of binocular disparity for disparity estimation. Stereo images captured under practical conditions have different illumination status, which causes disparity errors in the matching operation. To solve this problem, we can use the adaptive normalized cross correlation (ANCC) as a similarity measure that is independent from illumination factors and provides good matching results under various radiometric conditions. However, it has a very high computation complexity because of the bilateral filtered block matching operation. In this paper, we propose a new stereo matching method using binary information to reduce the computation complexity of ANCC. The proposed method uses a global mean value, instead of the bilateral filter. A census transformation is also applied in cost computation for fast block matching.
A review on the flow structure and pollutant dispersion in urban street canyons for urban planning strategies

As a result of rapid urbanization in numerous cities around the world, the demand for transportation has increased rapidly, resulting in emission of high levels of exhaust pollutants into the atmosphere. This is a major cause of deterioration in the local air quality, with consequent escalating risk of adverse health conditions amongst urban inhabitants. Understanding dispersion of pollutants in street canyons, local urban configurations, meteorological processes, and other physical factors are essential for predicting and assessing air quality. This article presents a comprehensive review of the state-of-the-art research works relevant to the investigation of flow structures and pollutant dispersion phenomena in urban street canyons. Various factors, including building geometries, local atmospheric conditions, static and dynamic obstructions, as well as chemical reactions of exhaust pollutants, are critically discussed by taking into account field measurements, wind tunnel experiments, operational modeling techniques, and computational fluid dynamics (CFD). The most critical pollutant levels in street canyons under several physical circumstances are identified. Elements leading to discrepancies and resulting in inconsistencies of different research methods are briefly addressed and suggestions for future research are offered.