Miracle-dz/UniFAR-FTUs huggingface dataset:
Power quality disturbances classification using rotation forest and multi‐resolution fast S‐transform with data compression in time domain

Considering the high spatial complexity of signal processing methods and the low diversity between the base classifiers in the ensemble classifier, a new method with optimal multi-resolution fast S-transform (OMFST) with low spatial complexity and rotation forest (ROF) was proposed. Firstly, Gini importance of features is evaluated by random forest (RF), and the sequence forward search method was adopted for feature selection. Then, the intermediate matrix was constructed on the optimal feature set. The results of inverse fast Fourier transform in the main frequency points of signals based on OMFST are compressed in time domain. The intermediate matrix was used to extract features for power quality (PQ) disturbances recognition. Finally, the ROF was adopted to encourage simultaneously individual accuracy and diversity within the ensemble. The optimal ROF was applied to identify 17 kinds of PQ disturbance signals. The simulation results show that the new method can effectively compress the time–frequency matrix of the existing S-transform (ST) method; the space complexity of the ST modular matrix is reduced significantly and has higher accuracy. Besides, the results of the experiment with real PQ data prove that the new method was effective for practical industrial applications.
Reduced Attitude Control for Boresight Alignment With Dynamic Pointing Constraints

The problem of boresight alignment control is studied when multiple dynamic pointing constraints and angular velocity constraints exist during the maneuver. The tracking errors and dynamic pointing constraints are defined using the reduced attitude, which has only two degrees of freedom and avoids the singularity and redundancy description. An artificial potential function and a barrier Lyapunov function are employed to derive the feedback control law for attitude tracking scenario with no violation of the constraints and limitations. The stability analysis shows that the proposed control law guarantees the asymptotical convergence of the tracking errors. Numerical simulations are conducted to demonstrate the efficacy and performance of the presented control design under several different scenarios.
Might Cannabis Smoking Contribute to Bullous Lung Disease

Might cannabis smoking contribute to bullous lung disease? Bullous lung disease is characterized by formation of blebs, bullae and emphysema and it is neither a rare nor a new disease. Most patients with bullous emphysema are cigarette smokers. On the other hand cannabis smoking is common and appears on teaching a cause of bullous lung disease and pneumothorax. The prevalence of cannabis smoking has increased continuously in high school and college students, as well as in young adults aged 19-32 years. A surprising increase in the number of young adults with secondary pneumothorax due to lung emphysema was observed. Here, we report a case of spontaneous pneumothorax with bullous lesions who has been smoking cannabis over 8 years. We detected bilateral small bullous emphysematous changes in the apices of lung on computed thomography. We think that cannabis smoking might be cause of bullous emphysematous changes in the apices of lung and it is a reason of secondary spontaneous pneumothorax of young adults.
Scopus scientific mapping production in industry 4.0 (2011–2018): a bibliometric analysis

Research in industry 4.0 is growing, driven by the innovations in production systems on a continuous basis. In this study, we identified the evolution of themes inherent in the industry 4.0 using a bibliometric software, namely SciMAT (Science Mapping Analysis Software Tool). The analyses included 1882 documents, 4231 keywords, and the relevant information was extracted based on frequency of co-occurrence of keywords. The clusters were plotted in two-dimensional strategic diagrams and analysed using the bibliometric indicators such as the number of publications, number of associated documents, and h-index. The results revealed that 2017 had the largest number of publications. Expert authors in the field and the periodicals that published the most were identified. The science mapping presented 31 clusters in which the most representative motor themes were CPS (Cyber-Physical System), IoT (Internet of Things), and Big Data. In addition, it was possible to identify fields with high investment of efforts by the scientific community such as the union between lean production and industry 4.0, production-centered CPS (CPPS), IoT (Industrial Internet of Things - IIoT), among others. The overlapping map showed an increase in the number of keywords from 338 to 1231 over the period of data. The map of scientific developments supported by an exhaustive research, it was possible to show the state of the art, the main challenges and perspectives for future research in the field of industry 4.0 such as Technology, Collaboration/Integration, Management and Implementation.
Social- and self-perception of designers’ professional identity

ABSTRACT Designers’ Professional Identity (DPI) is a social- and self-perceptive construct that describes how designers understand themselves as professionals. DPI guides development throughout a designer’s career by shaping professionalism, role assumptions, responsibilities, values and behaviour. DPI links two sets of elements: Personal Attributes and Design Skills. However, little is known about how designers perceive themselves in comparison to other critical actors affecting DPI: educators and managers. While differing perceptions between educators and managers is acknowledged, there is a critical need for more detailed understanding of these differences in comparison to how designers perceive themselves. This study uses semi-structured interviews with designers, design professors, and design managers to shed light on differences in perception of DPI. Analysis of the data highlights critical differences between the three groups. We described these differences with respect to three thematic perspectives on DPI: Technique, Creativity and Rapport. This provides important contributions to understanding DPI, with implications for education and practice.
Enhanced beamspace MUSIC for cost‐effective FMCW automotive radar

As one important sensor for automotive applications, frequency modulated continuous wave (FMCW) radars working at millimetre wave frequency, e.g. 24 or 77 GHz, are drawing much attention in recent years. Compared with range and radial velocity measurement, direction of arrival (DOA) estimation is more challenging in FMCW automotive radars due to the space limitation and computational complexity constraint. The feature of the signal processing procedure further results in the problem of single snapshot and relatively low signal-to-noise ratio (SNR) level. In this study, the authors propose a low-complexity beamspace multiple signal classification (MUSIC) scheme to improve the DOA estimation performance, where (i) the prior information is exploited to improve beamformer design, (ii) a modified MUSIC estimator is formulated to alleviate the performance degradation due to low SNR, (iii) a joint sub-matrix averaging and Toeplitz structure recovery processing is utilised to compensate the sample covariance estimation error resulted from single snapshot, especially for closely located targets. Simulations are given to demonstrate the efficiency of the authors' proposed enhanced beamspace DOA estimation for cost-effective FMCW automotive radar.
UNIVERSIDADE FEDERAL DO RIO GRANDE DO SUL PROGRAMA DE PÓS-GRADUAÇÃO EM CIÊNCIAS DA SAÚDE: CARDIOLOGIA E CIÊNCIAS CARDIOVASCULARES

Background: Thiazide diuretics are the first blood pressure-lowering option for most patients with hypertension, but a large proportion of patients needs a second or third drug to reach satisfactory control of blood pressure (BP). There are few well-designed controlled trials comparing the efficacy of drugs added as second option. The aim of this clinical trial was to compare the anti-hypertensive efficacy of amiloride versus enalapril in patients with uncontrolled BP under treatment with hydrochlorothiazide. Methods: In a double-blind randomized clinical trial, 82 patients receiving hydrochlorothiazide 25 mg daily and with uncontrolled BP were randomized to receive amiloride 2.5-5 mg/day (n=39) or enalapril 10-20 mg/day (n=43). BP was measured by ambulatory blood pressure monitoring (ABPM) before and after 12-weeks of treatment. Office BP was determined in the 4, 8 and 12 weeks of treatment. The doses of amiloride and enalapril were doubled in the fourth week if office systolic and diastolic BP were above 140 or 90 mm Hg, respectively. In the 8 week propranolol was added if BP was above those values. Deltas of ABPM and office BP, and the proportion of patients who required the third drug were the main outcome measures. Adverse events, the proportion of patients who reached BP control and the variation of various laboratory parameters, in particular of potassium, were secondary outcomes. Results: There was a greater BP reduction in the hydrochlorothiazide-enalapril (HCTenalapril) group. The ABPM δ-values between the groups were: 3.6 ± 2.2, 3.9 ± 2.2 and 1.1 ± 2.7 mm Hg for 24-h, daily and nightly systolic blood pressure (SBP), respectively. The corresponding values for diastolic blood pressure (DBP) were 1.7 ± 2.0, 3.2 ± 1.5 and 1.2 ± 1.9 mm Hg, with significant difference in daily DBP (P = 0.039). Office SBP decreased more and faster in patients allocated to enalapril (P = 0.003). More patients in hydrochlorothiazideamiloride (HCT-amiloride) needed to add propranolol (P = 0.035). BP control assessed by ABPM was reached in 69 and 73% in the HCT-amiloride and HCT-enalapril, respectively (P
Esophageal bypass could improve the quality of life of patients with far-advanced esophageal carcinoma associated with complicated organ disease

Introduction: Dysphagia due to passage disturbance is the most distressing symptom of patients with far-advanced esophageal carcinoma that cannot be treated by curative resection. Case Report: We experienced a 74-year-old patient with far-advanced esophageal carcinoma associated with severe interstitial pneumonia for whom bypass surgery was able to improve the quality of life. While he was able to enjoy eating for more than a year, he died of respiratory failure due to deterioration of the interstitial pneumonia 14 months after the surgical treatment. Conclusion: Bypass surgery can be considered one of the therapeutic options for patients with far-advanced esophageal carcinoma who suffer from passage disturbance.
Engineering the Synthesis of Luminescent Carbon Dots With Ultra High-Quantum Yield Using Experimental Design Approach in Order to Develop Sensing Applications

Carbon dots have been employed in a series of exciting fields such as bioimaging, drug delivery, fluorescent probing and analysis, photo-catalysis. Improving fluorescence performance of carbon dots could result in broadening their applications, especially, in sensing and bioimaging systems. The purpose of this study is to fabricate carbon dots by means of the hydrothermal method and designing an experiment in order to reach the highest quantum yield so as to develop their sensing and bioimaging applications. An experimental program was designed by taking into account factors effects on the quantum yield of carbon dots. The influencing variables to synthesize carbon dots in this project are citric acid concentration (F1), reaction temperature (F2), ethylenediamine concentration (F3) and reaction time (F4). By applying the experiment the quantum yield of carbon dots presents the maximum result of 85.69% at the optimal conditions of citric acid: 0.2 g, reaction temperature: 175°C, Ethylenediamine: $480~\mu \text{L}$ and reaction time: 4:43 h, which was the highest quantum yield from such carbon dots. These carbon dots have been applied as a fluorescence probe for Fe3+ ions determination with a perfect detection limit of 0.32 ppm. They were put to use for bioimaging of human ovarian carcinoma SKOV3 cells, which proved to be of outstanding biocompatibility.
Parallel Nine-Phase Generator Control in a Medium-Voltage DC Wind System

In this article, we propose a variable voltage control strategy for parallel connected hybrid generators (HGs) in a medium-voltage dc (MVdc) array grid. In the presented scheme, the outputs of HGs are rectified and interfaced to an offshore MVdc array grid. The MVdc grid, whose voltage is varied but controlled, connects the wind turbines in the farm to an offshore substation. Using dc–dc converters, the voltage is stepped up at the offshore substation and sent to a terrestrial grid via undersea high-voltage dc (HVdc) export cables. The MVdc voltage is varied in a prescribed control strategy, whereas the HVdc voltage is maintained fixed at all times. The HG in the scheme presented in this article utilizes two rotor elements, a permanent-magnet rotor with fixed excitation and a wound field (WF) rotor with controllable excitation. The proposed control strategy includes a WF control scheme local to the HGs coordinated with a wind farm supervisory control system (SCS). A simulation platform is developed to evaluate the effectiveness of the control strategy in a large wind farm. Simulation results are validated on a laboratory prototype HG system showing a good agreement.
Analysis of Temperature-Dependent Crosstalk for Graphene Nanoribbon and Copper Interconnects

In this article, we propose a temperature-based crosstalk analysis model for rough edge graphene nanoribbon (GNR) and Cu interconnect. Temperature-dependent crosstalk delay and noise analysis for 16 nm technology node (ITRS-2011) is performed for three different chip-operating temperatures are −40°C (233 K), i.e. low temperature, 27°C (300 K), i.e. room temperature, and 105°C (378 K), i.e. high temperature. Our analysis shows that, first by increasing the temperature from 233 to 378 K and also by increasing interconnect length from 10 to 100 µm, the GNR shows less amount of crosstalk-induced delay compared with Cu interconnect and crosstalk noise increase slightly which indicates the performance degradation and reliability issues, second the GNR-based interconnect produce (%) variation in delay due to crosstalk and crosstalk noise is lesser than Cu interconnect when interconnect length increase from 10 to 100 µm by increasing temperature. Hence, GNR interconnect is much more thermally viable as compared with traditional Cu-based interconnect and it is very much useful for nano-scale interconnect modeling.
Different Patterns of Growth Hormone Secretion in Osteoporotic Women Różny charakter wydzielania hormonu wzrostu u kobiet chorych na osteoporozę

Background. Growth hormone (GH) and its peripheral mediator IGF−1 play an important role in bone remodel− ing. GH secretion is gradually decreased with aging, which is associated with bone loss and osteoporosis. Objectives. The aim of the study was to assess the GH secretory patterns in different groups of women with osteo− porosis. Material and Methods. The study was carried out in: I – 20 women with postmenopausal osteoporosis, early (1–2 years) after menopause, without HRT; II – 20 women with postmenopausal osteoporosis, at least 6 months on HRT; III – 20 women with postmenopausal osteoporosis, 10 years after menopause, without HRT at any time; IV – 20 postmenopausal women sufferring from steroid−induced osteoporosis. They were compared to 10 premenopausal healthy controls – group V. All of subjects were analyzed basal serum GH and insulin hypoglycaemia stimulated GH secretion. Serum IGF−1 concentration was analyzed simultaneously. Results. The patterns of GH secretion were various among the groups of patients. The most significant differences were observed between groups of early menopausal patients on HRT and late menopausal ones never receiving HRT. No differences in IGF−1 among groups of patients were shown. Conclusions. Postmenopausal osteoporosis is characterized by impaired GH secretion which can be partially reversed by HRT. Steroid−induced osteoporosis is characterized by a low GH secretory reserve (Adv Clin Exp Med 2004, 13, 6, 927–931).
Health Literacy and Pregnancy Preparedness in Pregestational Diabetes

OBJECTIVE —We investigated the association between functional health literacy and markers of pregnancy preparedness in women with pregestational diabetes. RESEARCH DESIGN AND METHODS —English- and Spanish-speaking pregnant women with pregestational diabetes were recruited. Women completed the Test of Functional Health Literacy in Adults (TOFHLA) short form and a questionnaire. A TOFHLA score of ≤30 was defined as low functional health literacy. RESULTS —Of 74 women participating in the study, 16 (22%) were classified as having low functional health literacy. Compared with women with adequate health literacy, those with low health literacy were significantly more likely to have an unplanned pregnancy ( P = 0.02) and significantly less likely to have either discussed pregnancy ahead of time with an endocrinologist or obstetrician ( P = 0.01) or taken folic acid ( P = 0.001). CONCLUSIONS —The results of this study suggest that low functional health literacy among women with pregestational diabetes is associated with several factors that may adversely impact birth outcomes.
Alternative Solution Regarding Problems of Adaptive Observer Compensating Parameters Uncertainties for Sensorless Induction Motor Drives

This article first shows that the advanced high-gain adaptive observer (AO) is able to estimate both speed and resistances during speed transients. However, it is also found that high-gain AO-based resistances estimation begins to diverge as the operating speed becomes higher. The problem is due to the fact that the model sensitivity of speed is much higher than that of resistances at high speeds. As a result, this article claims that the high-gain AO is not generally a good option to compensate parameters uncertainties in sensorless induction motor drives for all working conditions. As an alternative, this article proposes a scheme that not only has the potential of high dynamic performance but also avoids the aforementioned “sensitivity problem. ” Besides, interesting topics, such as speed-dependent resistance estimation, sensorless inertia identification, slow speed reversal test, and reduced-order natural speed observer, are all covered in this article. Effective experiment verifies the feasibility of the proposed scheme, which is deemed to have potentials for practical applications.
Effects of thermal and elastic deformations on lubricating properties of the textured journal bearing

Hydrodynamic journal bearing is an important part of rotary machine and faces many challenges such as high rotating speed, heavy specific pressure, and large temperature rise with the development of industry. These challenges lead to notable thermal and elastic deformations of the journal bearing. Surface texture has been proved to be a valid method to promote bearing lubricating properties. However, effects of thermal and elastic deformations on lubricating properties of the textured journal bearing have not been clearly analyzed. Based on this, the article presents a method to transform thermal–structural–fluid interaction into thermal–structural interaction and thermal–fluid interaction based on textured journal bearing model. Cavitation and temperature-viscosity effects are also considered. Based on this method, action mechanisms of surface texture on lubricating properties are discussed considering elastic and thermal deformations, and effects of elastic and thermal deformations on the textured journal bearing are also investigated. The results show that the load carrying capacity and the maximum oil film pressure of the textured journal bearing both increase when elastic and thermal deformations are considered. Optimal texture parameters can enhance the backflow effect in dimples and restraint cavitation phenomenon in the oil film rupture region. Meanwhile, inertial and cavitation effects caused by surface texture have significant effects on elastic and thermal deformations of the journal bearing.
A phase I trial of gefitinib (ZD1839) plus rapamycin for patients with recurrent malignant glioma

1565 Abnormal signaling of the PI3K/Akt pathway is a hallmark of malignant glioma. The primary objective of this phase 1 study is to determine the maximum tolerated dose (MTD) and dose-limiting toxicity (DLT) of Gefitinib, an inhibitor of the EGFR receptor tyrosine kinase, when combined with rapamycin, a macrolide antibiotic capable of inhibiting mTOR, a critical downstream regulator of PI3K/Akt signaling, among patients with recurrent malignant glioma. Eligibility criteria include: recurrent malignant glioma; no more than 3 prior episodes of recurrence; age greater than 18 years; KPS greater than 60%; adequate hepatic, renal, pulmonary and bone marrow function. Patients with prior with EGFR or mTOR-directed therapies are excluded. A standard “3+3” dose escalation design was employed. Patients are stratified based on concurrent use of enzyme-inducing anticonvulsants (EIAC; phenytoin, carbamazepine and phenobarbitol) and both strata are independently escalated. Gefitinib and rapamycin are administered on a.
Mild hyperhomocysteinemia, decreased vitamins B6, B12 and folic acid in children with sickle cell disease.

(1.37±0.16 m), (p<0.045) in all SCD patients. Plasma total homocysteine (tHcy) (6.40±3.37 µmol/L) was significantly increased (p< 0.05), whereas plasma vitamins B 6 (28.81±12.44 nmol/), B 12 (184.16±35.13 pmol/L) , folic acid (46.73±9.93 µmol/L), total cholesterol (102.42±28.62 mg/dl), low density lipoprotein cholesterol (24.45±5.25 mg/dl) (p< 0.01) and triglyceride (71.98±22.61 mg/dl) (p<0.04) were markedly decreased compared with the control values. Plasma high density lipoprotein cholesterol was however not significantly different from the control value. Plasma tHcy) did not correlate with any of the measured parameters. Conclusion: Increased plasma total homocysteine level and reduced B vitamins as well as lipids profile obtained in this study are prominent features of sickle cell disease in this environment.
Project-Based Learning: Projects for Academic Excellence

Project-Based Learning (PjBL) is a pedagogical approach which; as a result, enriched students’ learning experience and knowledge, as well as generated a more meaningful education beyond the traditional classroom setting through project performance. Participants for the Capstone Project encompassed 23 first-grade students in a public elementary school located in one of central California’s urban cities. The motive behind this project was to demonstrate PjBL as an effective learning mechanism in an English Language Arts classroom, through a theatrical production from the students. PjBL accomplished reaching more students through its alternative learning practice. Students exhibited improvement in other areas, in addition to their academics. Considering the importance of 21st century skills needed in today’s modern world, the researcher could incorporate creative teaching methods in order to equip students as prevalently suitable for life outside academic walls, as well as student achievement within them.