Miracle-dz/UniFAR-FTUs huggingface dataset:
A Control System of DC Motor Speed: Systematic Review

The first sources of direct current (DC) were invented, DC machines were one of the first types of electro-mechanical machines used. DC machines are more advantageous over AC machines as regards to Speed regulation and versatility. A DC motor is an electrical actuator with a lot of control that is used in a lot of applications, like robotic manipulators, guided vehicles, steel rolling mills, cutting tools, overhead cranes, electrical traction, and other applications. Due to their speed-torque characteristics and ease of control, DC motors are utilized extensively in industries for demanding variable speed applications. In terms of controller design and implementation, the process control industry has seen numerous advancements over the past two decades. In the industry, there is a great demand for automatic controllers that can respond quickly and accurately to perform precise tasks. The feedback loop is an essential component of system control that must be utilized in order to achieve the desired performance in the majority of systems. Numerous control strategies have been developed for various feedback control systems in order to achieve rapid system dynamic response. Controls in a drive system are crucial if the reference speed is to be accurately and quickly tracked, with little or no steady-state error and as little overshoot as possible. This paper presents the Systematic literature review that was conducted as covers pertinent established concepts and techniques related to the DC motor speed control system design, for applications that require actuators with accurate speed characteristics. Simulation and real time implementation results employed for DC motor speed control systems in various literature are analysed and discussed.
Advancing colloidal quantum dot photovoltaic technology

Abstract Colloidal quantum dots (CQDs) are attractive materials for solar cells due to their low cost, ease of fabrication and spectral tunability. Progress in CQD photovoltaic technology over the past decade has resulted in power conversion efficiencies approaching 10%. In this review, we give an overview of this progress, and discuss limiting mechanisms and paths for future improvement in CQD solar cell technology.We briefly summarize nanoparticle synthesis and film processing methods and evaluate the optoelectronic properties of CQD films, including the crucial role that surface ligands play in materials performance. We give an overview of device architecture engineering in CQD solar cells. The compromise between carrier extraction and photon absorption in CQD photovoltaics is analyzed along with different strategies for overcoming this trade-off. We then focus on recent advances in absorption enhancement through innovative device design and the use of nanophotonics. Several light-trapping schemes, which have resulted in large increases in cell photocurrent, are described in detail. In particular, integrating plasmonic elements into CQD devices has emerged as a promising approach to enhance photon absorption through both near-field coupling and far-field scattering effects. We also discuss strategies for overcoming the single junction efficiency limits in CQD solar cells, including tandem architectures, multiple exciton generation and hybrid materials schemes. Finally, we offer a perspective on future directions for the field and the most promising paths for achieving higher device efficiencies.
Cheating in E-learning from the perspective of lecturers within Iraqi universities

Online examination is an integral and vital component of online learning. Student authentication is going to be widely seen when one of these major challenges within the online assessment. This study aims to investigate potential threats to student authentication in the online examinations. Adopting cheating in E-learning in a university of Iraq brings essential security issues for e-exam . In this document, these analysts suggested a model making use of a quantitative research style to confirm the suggested aspects and create this relationship between these. The major elements that might impact universities to adopt cheating electronics were declared as Educational methods, Organizational methods, Teaching methods, Technical methods. In order to verify that the design of the questionnaire, has been followed up with two steps of verification. First of all, a approval stage within that , the list of questions examined by the section of specialists in this subject in computer technology and teaching in universities, the feedback received was implemented before proceeding in order in order to this second stage . Second of all, the pilot research has been carried out to check the dependability of the factors . The gathered data has been examined using the Cronbach’s Alpha coefficient dependability test in SPSS 18 software package. This final results demonstrated this all factors are dependable as they acquired a value of 0.9126 and above inside test.
New Vectors of TTX Analogues in the North Atlantic Coast: The Edible Crabs Afruca tangeri and Carcinus maenas

Tetrodotoxin (TTX) and its analogues are naturally occurring toxins historically responsible for human poisoning fatalities in Eastern Asia. It is typically linked to the consumption of pufferfish and, to a lesser extent, marine gastropods and crabs. In the scope of a comprehensive project to understand the prevalence of emergent toxins in edible marine organisms, we report, for the first time, the detection of TTX analogues in the soft tissues of edible crabs, the European fiddler crab (Afruca tangeri) and green crab (Carcinus maenas), harvested in southern Portugal. No TTX was detected in the analyzed samples. However, three TTX analogues were detected—an unknown TTX epimer, deoxyTTX, and trideoxyTTX. These three analogues were found in the European fiddler crab while only trideoxyTTX was found in the green crab, suggesting that the accumulation of TTX analogues might be influenced by the crabs’ different feeding ecology. These results highlight the need to widely monitor TTX and its analogues in edible marine species in order to provide adequate information to the European Food Safety Authority and to protect consumers.
A variable neighborhood search algorithm for a public bus line with a demand-responsive operation during peak hours

ABSTRACT In this study, we propose a variable neighborhood search (VNS) algorithm to optimize the performance of a single bus line during peak hours where the passenger flows in one direction are typically much larger than the flows in the opposite direction. The system we propose aims to increase the frequency of the service towards the city center during morning peak hours, by allowing some of the vehicles to perform short-cut trips away from the city center. Just before the morning peak hours and based on the expected demand, the VNS algorithm decides which buses should visit all the stops ahead or take a short-cut during its return trip. Experiments show that with the demand-responsive system, total passenger travel time improves about 10% on average for a real-size benchmark instance. The performance of the system is also analyzed under different fleet size and capacity, duration of peak hours, and demand scenarios.
Comparative Study of Wing’s Motion Patterns on Various Types of Insects on Resemblant Flight Stages

The behavioral flight capacitance, maneuverability and ability of insect’s flight in recent years has become an active research that provided biological adaptative inspirations for the design and control of man-made MAVs and NAVs, essentially by identifying, exploiting and understand the basic principles of performance in-flight displayed by the insects. All qualities displayed in an insect flight, are determined by the functional capabilities of its flight muscles to produce force and work at a certain response speed as well as their efficiency in transforming chemical to mechanical energy; such energy is subsequently transmitted to their corrugated wings, were the performances of all flight muscles act and create part of wing’s kinematics and deformation, being this the fundamental reason for the displayed maneuvers of all species of flying insects. This paper presents some summary considerations about all flying insects and is focused on the comparative skills displayed by those animals on resemblant flight stages.
Robust Denoising of Phonocardiogram Signals Using Time-Frequency Analysis and U-Nets

Cardiovascular diseases are the cause of many deaths worldwide every day. Automated cardiac auscultation is a promising diagnosis method; however, one of its main disadvantages is that it is prone to receiving too much noise during sound recording, which hinders diagnosis. In the available literature, most phonocardiogram (PCG) denoising methods have been evaluated using only synthetic sources such as white noise; this work proposes a more realistic approach. In this paper, the denoising process occurs in the time-frequency domain. More specifically, we compute the Short-Time Fourier Transform (STFT) of the contaminated PCG signal and train a U-Net to recognize normal and pathological cardiac sounds from noise. We are unaware of previous attempts to develop a robust PCG-denoising algorithm capable of simultaneously removing noise signals from four different sources: additive white Gaussian noise (AWGN), additive pink Gaussian noise (APGN), speech, and real PCG background noise. Since we are limited by the relatively small number of clean PCG signals available, we also propose a method for high-quality phonocardiogram data augmentation. In our tests, the proposed method exhibits high performance even in unfavorable scenarios since it can denoise a PCG signal contaminated with a signal-to-noise ratio (SNR) of −5 dB with average improvements ranging from 11.85 dB up to 17.60 dB, depending on the noise type used to degrade the cardiac signal. This method could significantly improve the performance of automatic cardiac sound classification algorithms in noisy environments but could also be used in electronic stethoscopes.
Forecasting radiation fog at climatologically contrasting sites: evaluation of statistical methods and WRF

A six‐year climatology of radiation fog has been compiled at two sites: the Research Centre for the Lower Atmosphere (CIBA, Spain) and the Cabauw Experimental Site for Atmospheric Research (CESAR, The Netherlands). These sites are contrasted in terms of geographical situation, climate zone, altitude, humidity and soil water availability. Therefore, several climatological differences in fog abundance, onset, dissipation and duration have been quantified between the two sites. The more humid site (CESAR) is characterised by relatively short radiation fog events distributed throughout the year. However, radiation fog at the drier site (CIBA) is more persistent and appears during late autumn/winter months. In general, its formation requires more time after sunset (∼2 h more), since further cooling is required to reach saturation. The forecast of these fog events has been evaluated through two different approaches. First, we extend the statistical method presented by Menut et al. (2014) (M14). This method uses statistics to define threshold values on key variables for fog formation (pre‐fog) and verifies its predictability using observations and numerical model output. We present some of the most appropriate threshold values for the forecasting of pre‐fog periods at both sites, which differ from those presented in M14 and depend on the optimisation of the hit rate or the false‐alarm rate. Additionally, we also extend M14 by suggesting other variables as potential predictors for fog formation (friction velocity and visibility tendency). Finally, we focus on fog simulation by the Weather Research and Forecasting (WRF) model in terms of liquid water content. The WRF model was able to simulate radiation fog when configured with sophisticated physical options and high resolution. However it failed in simulating the onset, dissipation and the vertical extent of fog (which was overestimated). The model results were extremely sensitive to the spin‐up time.
Angles Only Three-Axis Attitude Determination

The general problem of determining the attitude from measurements of arc lengths or equivalently from measurements of dot products of vectors is examined. The measurement model explicitly quadratic in quaternions is used to develop a maximum likelihood quaternion estimator. The optimal estimate is obtained using the Gauss-Newton estimation sequence inspired by the homotopy continuation methods. The algorithm is tested numerically and is found to be more robust than other iterative local linearization techniques.
Natural Variability of the Color of Beech Wood in the Color Space CIE L*a*b*

In this contribution, the color of dry beech wood from the zone, sapwood, mature wood and false heartwood of Fagus sylvatica L. trees was analyzed, and the measurement values were statistically processed in relation to the lightness coordinate L* as well as the chromatic coordinates of red color a* and yellow color b* in the color space CIE L*a*b*. The dispersion of color (color dispersion) ∆EuC of beech wood in coreless zones and the color of the wood of false heartwood were evaluated through the combined standard uncertainties of the individual coordinates of the color space. The visual color differences between the color of sapwood beech wood and the color of mature wood as well as between the color of sapwood and false heartwood are numerically documented through the values of total color differences ∆E* = 3.5 and ∆E* = 18.1. Within the framework of the categorization, the color difference between mature wood and sapwood belongs to the category of visible changes, and the difference between the color of the wood of the false heartwood and the color of the sapwood belongs to the category of significant color changes. By defining the boundaries of the color of beech wood for the color of sapwood, mature wood and false heartwood in the color space CIE L*a*b*, space is created to sort it into color groups in case of customer requests. At the same time, designers are expanding the possibilities of applying beech wood to color compositions, depending on the darkness and color of the beech wood identified by the values of the color space coordinates.
A Comparison of Four Spatial Interpolation Methods for Modeling Fine-Scale Surface Fuel Load in a Mixed Conifer Forest with Complex Terrain

Patterns of spatial heterogeneity in forests and other fire-prone ecosystems are increasingly recognized as critical for predicting fire behavior and subsequent fire effects. Given the difficulty in sampling continuous spatial patterns across scales, statistical approaches are common to scale from plot to landscapes. This study compared the performance of four spatial interpolation methods (SIM) for mapping fine-scale fuel loads: classification (CL), multiple linear regression (LR), ordinary kriging (OK), and regression kriging (RK). These methods represent commonly used SIMs and demonstrate a diversity of non-geostatistical, geostatistical, and hybrid approaches. Models were developed for a 17.6-hectare site using a combination of metrics derived from spatially mapped trees, surface fuels sampled with an intensive network of photoload plots, and topographic variables. The results of this comparison indicate that all estimates produced unbiased spatial predictions. Regression kriging outperformed the other approaches that either relied solely on interpolation from point observations or regression-based approaches using auxiliary information for developing fine-scale surface fuel maps. While our analysis found that surface fuel loading was correlated with species composition, forest structure, and topography, the relationships were relatively weak, indicating that other variables and spatial interactions could significantly improve surface fuel mapping.
FXR agonist GW4064 enhances anti-PD-L1 immunotherapy in colorectal cancer

ABSTRACT Colorectal cancer (CRC) is one of the top three malignant tumors in terms of morbidity, and the limited efficacy of existing therapies urges the discovery of potential treatment strategies. Immunotherapy gradually becomes a promising cancer treatment method in recent decades; however, less than 10% of CRC patients could really benefit from immunotherapy. It is pressing to explore the potential combination therapy to improve the immunotherapy efficacy in CRC patients. It is reported that Farnesoid X receptor (FXR) is deficiency in CRC and associated with immunity. Herein, we found that GW4064, a FXR agonist, could induce apoptosis, block cell cycle, and mediate immunogenic cell death (ICD) of CRC cells in vitro. Disappointingly, GW4064 could not suppress the growth of CRC tumors in vivo. Further studies revealed that GW4064 upregulated PD-L1 expression in CRC cells via activating FXR and MAPK signaling pathways. Gratifyingly, the combination of PD-L1 antibody with GW4064 exhibited excellent anti-tumor effects in CT26 xenograft models and increased CD8+ T cells infiltration, with 33% tumor bearing mice cured. This paper illustrates the potential mechanisms of GW4064 to upregulate PD-L1 expression in CRC cells and provides important data to support the combination therapy of PD-L1 immune checkpoint blockade with FXR agonist for CRC patients.
PREVALENCE OF OSTEOPOROSIS AND ITS CORRELATION WITH COMMON SECONDARY RISK FACTORS IN POPULATION FROM RURAL AREAS OF SOUTH INDIA

ABSTRACT: Osteoporosis is a common metabolic disorder characterised by decreased bone mass and weakened micro-architecture of bone tissue. In 2014 Osteoporosis international estimated osteoporosis to be one of the leading causes of disability, depression, and early mortality in the elderly. After 50 years of age, 1 in 3 women and 1 in 5 men experience osteoporotic fractures. This is projected to cause a yearly loss of 5.8 million healthy life years to disability. The number of patients who attend the outpatient clinic and emergency department of Sanjay Gandhi institute of trauma and orthopaedics with fragility fractures has been increasing, hence to know the prevalence of osteoporosis in the general population who were asymptomatic, we decided to conduct a study in the rural areas of south India. RESULTS: The prevalence of osteoporosis in the rural population was more in females at 42.2%, whereas the males had a prevalence of 32.5%. Among the population with habits of tobacco consumption and alcohol consumption, the prevalence was 78% and 30.6% respectively. 20.2 % of non-smokers and 39.7% of non-alcoholics were osteoporotic. Among the population with comorbidities, 53.6% of diabetes and 55.4% of hypertensives were osteoporotic. 33.7% of non-diabetics were osteoporotic, and 29.5% of hypertensives were osteoporotic. The correlation between osteoporosis and the individual risk factors ranged between weak negative to moderately positive. (r = - 0.2 to 0.5). The correlation between the combination of all the four risk factors and osteoporosis is weakly positive (r = 0.339), which is highly significant (p-value = 0.001). CONCLUSION: The prevalence of osteoporosis is high in rural populations over 50 years. There is a significant positive correlation between osteoporosis and secondary risk factors like smoking, tobacco chewing, alcohol consumption, diabetes, and hypertension.
Thyroid Heart Disease Presenting Thyrotoxic Crisis with Jaundice

Hyperthyroid can cause thyroid crisis that a rare endocrinal emergency. Jaundice in thyroid heart disease and hyperthyroid patient was very rare. This case we present a patient with thyroid heart disease presenting thyroid crisis and jaundice. A 49-year-old with complaints of shortness of breath at night accompanied by a feeling of weakness. The patient felt tremor in her upper extremity, lost weight, difficulty sleeping and easily tired in the last 2 months. She said that her eyer become yellow in color 10 days ago. On admission the vital signs are blood pressure 130/80 mm Hg, pulse 120x/min, respiration rate 24x/min, O2 saturation 80% on room air, temperature 36.8°C. Physical examination showed icteric, jugular vein pressure was +3 cm and from palpation examination found nodule ±4cm in diameter, well-defined, chewy consistency. Extremities showed tremor and edema. Electrocardiography showed atrial tachycardia and chest x-ray imaging showed cardiomegaly and minimal pleural effusion. Thyroid hormone evaluation showed increase Free T4 and decrease TSH level. Liver function test showed increase bilirubin level. Patient received Propylthiouracil 4x300 mg, Propranolol 4x20mg, normal saline 0.9% Infusion 1000ml/24 hours, Pantoprazole Injection 2x40 mg, Furosemide 10 mg/hour, Spironolactone 1x100mg, Albuforce 2x1 tab, Injection of Ceftriaxone 2x1 gr and referred to RS Soetomo, Surabaya for further treatment Percutaneous Transhepatic Biliary Drainage.
A note on theta divisors of stable bundles

Let C be a smooth complex irreducible projective curve of genus g≥3. We show that if C is a Petri curve with g≥4, a general stable vector bundle E on C, with integer slope, admits an irreducible and reduced theta divisor ΘE, whose singular locus has dimension g−4. If C is non-hyperelliptic of genus 3, then actually ΘE is smooth and irreducible for a general stable vector bundle E with integer slope on C.
Diagnosing Chinese EFL learners’ writing ability using polytomous cognitive diagnostic models

Cognitive diagnostic assessment (CDA) intends to identify learners’ strengths and weaknesses in latent cognitive attributes to provide personalized remedial instructions. Previous CDA studies on English as a Foreign Language (EFL)/English as a Second Language (ESL) writing have adopted dichotomous cognitive diagnostic models (CDMs) to analyze data from checklists using simple yes/no judgments. Compared to descriptors with multiple levels, descriptors with only yes/no judgments were considered too absolute, potentially resulting in misjudgment of learners’ writing ability. However, few studies have used polytomous CDMs to analyze graded response data from rating scales to diagnose writing ability. This study applied polytomous CDMs to diagnose 1166 EFL learners’ writing performance scored with a three-level rating scale. The sG-DINA model was selected after comparing model-data fit statistics of multiple polytomous CDMs. The results of classification accuracy indices and item discrimination indices further demonstrated that sG-DINA had good performance on identifying learners’ strengths and weaknesses. The generated diagnostic information at group and individual levels was further synthesized into a personalized diagnostic report, although its usefulness still requires further investigation. The findings provided evidence for the feasibility of applying polytomous CDM in EFL writing assessment.