Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of Creative Thinking Skills in the Teaching-Learning Process

Creativity is one of the most appreciated learning skills current the XXI century. The development of creativity has been considered essential in order to achieve an effective and a high-level learning. As different approaches to its study, creativity has been defined as a result, as a process, as a construct derived from the influence of the context and of the experience and as a personality feature of human nature. The aim of this contribution is to explain the study of creativity from the mentioned approaches to achieve a comprehension of such construct. In addition, the focus has been centred on highlight the development of creativity from an educational approach, starting from the description, implication of the use and application of creative strategies in the teaching and learning processes. Finally, a brief description is made of the most important or relevant strategies found in the literature, with emphasis on the incorporation of these strategies in the problem-solving process.
High-order fully actuated system approaches: part VII. Controllability, stabilisability and parametric designs

In this paper, high-order fully actuated (HOFA) models with multiple orders for general dynamical control systems are firstly proposed, for which controllers can be easily designed such that the closed-loop systems are constant linear ones with completely assignable eigenstructures. Based on this special feature of the type of HOFA models, controllability of general dynamical control systems is proposed. It is revealed that a general dynamical control system can be represented by a controllable subsystem described by a HOFA model, and an extra uncontrollable one or supplementary one. While a general dynamical control system is called stabilisable if its uncontrollable (autonomous) subsystem does not exist, or is stable in a certain sense. Finally, two parametric design approaches for control of the type of general HOFA models are proposed, which provide all the design degrees of freedom. Several examples, including ones of sub-fully actuated systems, are treated, which demonstrate the effect of the proposed theories.
Effect of Steam Blanching on Carotenoids, Phenolic Compounds Content and Antioxidant Activity of Dried Pumpkin’s Pulp (Cucurbita moschata) Farmed with Three Biological Fertilizers

Aims: This study aims to assess the effect of steam blanching on the phytochemical composition and the antioxidant properties of Cucurbita moschata pulp, obtained with the use of three biological fertilizers. Study Design: The study was done on five samples of pumpkin pulp grown in different conditions. All the samples were evaluated before and after steam blanching treatment followed by hot air drying. The experimental design was a randomized complete block design with three replications. study seven March 2018. Methodology: Pumpkin were grown in May-September 2018 using the following fertilizers: ash at 10kg/25m 2 ; bovine compost at 62.5 kg/25m 2 ; ash + bovine compost (1:1). Besides negative control without fertilizers and positive control represented by NPK (20-10-10) at 2 kg/25m 2 have been done. After harvesting, carotenoids, phenolic compounds, flavonoids contents, and antioxidant activities were determined using standard methods before and after a steam blanching treatment followed by hot air drying process. Results: Pumpkin pulp fertilized with ash, after a steam blanching treatment had the highest contents of total carotenoids, β-carotene, lycopene respectively of 696.03 ± 7.57; 584.86 ± 15.50 and 115.00 ± 1.25 mg/100g of edible portion and the lowest percentages of loss of these bioactive compounds. Pumpkin pulp fertilized with bovine compost and ash showed the lowest rates of loss of total phenolic compounds, respectively 0.62% and 4.25%, while those fertilized with the positive control (NPK) showed the highest rate of loss of total phenolic compounds (60%). Steam blanching treatment had a significant impact on phytonutrient contents and total phenolic compounds extracted from dried pumpkin pulp exert greater antioxidant activity. Conclusion: Pumpkin pulp fertilized with ash provides the highest carotenoids content after steam blanching treatment and this treatment increases the antioxidant activity and probably the shelf life of dried pumpkin pulp.
Adaptive Stabilization of a Permanent Magnet Synchronous Generator-Based DC Electrical Power System in More Electric Aircraft

Most loads of electrical power systems on a more electric aircraft (MEA) are regulated power converters. These loads behave as constant power loads (CPLs) that can significantly affect system stability. The system will become unstable and will be unable to operate at the rated power. In this article, a novel adaptive stabilization of a permanent magnet synchronous generator-based dc electrical power system in MEA is presented using a nonlinear feedback approach via loop-cancellation technique with a simple equation of feedback gain, which can be calculated from the power level of the CPL. The equation can be derived from a polynomial curve fitting based on the proposed mathematical model derived using the dq method. The adaptive stabilization results are validated by a small-signal stability analysis using the linearization technique, a large-signal stability analysis using the phase plane analysis, an intensive time-domain simulation using MATLAB, and experimentation. The results indicate that the proposed adaptive stabilization technique can provide the considered aircraft power system always stable for all operating conditions within the rated power, and the dc bus voltage can adhere to the MIL-STD-704F standard.
Predicting conflict-prone disputes using the structure of turn-taking: the case of Wikipedia

ABSTRACT Detection of conflict-prone discussions on online social platforms can help moderate debates and prevent negative social processes such as the formation of echo chambers or polarization of opinions. Here, we examined how controversy of a discussion topic can be estimated from formal characteristics of discussion threads on the English Wikipedia. We discovered that dyadic turn-taking patterns tended to convey highly emotional, personal content, disagreement, and words relating to the conflict. Using the fraction of such two-person patterns in the multi-person discussion as a predictor, we were able to classify effective and conflict-prone discussions with 80% accuracy. These results show that monitoring of turn-taking patterns may become one of the easy heuristics that help detect conflicts in task-oriented online groups.
Can Novel Insights into the Pathogenesis of Myeloproliferative Neoplasm-Related Thrombosis Inform Novel Treatment Approaches?

Despite recent advances in diagnosis and therapy, arterial and venous thrombosis remain a major cause of morbidity and mortality in Philadelphia-negative myeloproliferative neoplasms (MPNs). Preventing and treating arterial and venous thrombosis represent one of the major goals in MPNs. The prothrombotic phenotype of MPNs is the result of a complex interplay between several components. Neutrophils, platelets, red blood cells (RBCs) and endothelial cells assume an activated phenotype in MPNs and undergo morphologic and metabolic changes that render these cells prothrombotic. These changes are in part the result of alterations induced by MPN initiating, driving mutations as well as the effect of extrinsic factors that stem from cell interactions as well as the inflammatory environment and rheological properties that characterize MPNs. In this review, we address current management issues in MPNs and provide an update on recent understanding of the pathogenesis of thrombosis in MPNs. We also address how lessons learned from other thrombo-inflammatory conditions can further inform and improve management of thrombosis in MPNs. Based on the above data and recent discoveries and developments, we discuss potential novel targets and therapeutic approaches to tackle the challenge of thrombosis in MPNs.
Synthesis, modification, and photo/photoelectrocatalytic degradation applications of TiO2 nanotube arrays: a review

Abstract Titanium dioxide nanotube arrays (TiO2 NTAs) have attracted much interest due to their unique highly ordered array structure, outstanding properties, and potential applications in photo/photoelectrocatalytic degradation of pollutants, hydrogen production, supercapacitors, dye-sensitized solar cells, sensors, and biomedical devices. It has been fabricated via a facile electrochemical anodic oxidation of Ti substrate in fluoride-containing electrolytes. Combined with our previous work, we comprehensively review the recent progress of TiO2 TNAs on the synthesis processes, forming mechanism, and modification used to improve the photoelectric properties. In addition, this article summarizes some of the recent advances on the photo/photoelectrocatalytic degradation of pollutants. Besides, other applications and the future development of TiO2 TNAs are also briefly discussed and addressed.
Analyzing and Forecasting of Electricity Consumption by Integration of Autoregressive Integrated Moving Average Model with Neural Network on Smart Meter Data

Smart metering is a recently developed research area over the globe and it appears to be a remedy for increasing prices of electricity. Electricity consumption forecasting is an essential process in offering intelligence to smart girds. Rapid and precise forecasting allows a utility provider to plan the resources and also to take control actions to balance the electricity supply and demand. The customers will advantage from the metering solutions by a greater understanding of their own energy utilization and forthcoming projections, allowing them to effectively manage the cost of their consumption. In this view, this paper presents an Integration of Autoregressive Integrated Moving Average (ARIMA) Model with Neural Network (NN) for Electricity Consumption Forecasting using Smart Meter Data. As the time series data often does not hold linear as well as nonlinear patterns, ARIMA or NN models are not enough to model and predict the time series data. The ARIMA-NN model will be trained using the data and generates a model. Afterward, the generated model can be utilized to predict the electricity consumption by the application of new building data. The proposed ARIMA-NN model is evaluated and the simulation outcome strongly pointed out its superior performance over the compared methods. The presented model has obtained effective testing performance with the MAPE of 25.53, an accuracy of 48.38, and MSE of 0.21.
Sulfur cycling in oceanic oxygen minimum zones

The sulfur cycle is an important, although understudied facet of today's modern oxygen minimum zones (OMZs). Sulfur cycling is most active in highly productive coastal OMZs where sulfide‐rich sediments interact with the overlying water column, forming a tightly coupled benthic‐pelagic sulfur cycle. In such productive coastal systems, highly eutrophic and anoxic conditions can result in the benthic release of sulfide leading to an intensification of OMZ‐shelf biogeochemistry. Active blooms involving a succession of sulfide‐oxidizing bacteria detoxify sulfide and reduce nitrate to N2, while generating nitrite and ammonium that augment anammox and nitrification. Furthermore, the abiotic interactions of sulfide with trace metals may have the potential to moderate nitrous oxide emissions. While sulfide/sulfur accumulation events were previously considered to be rare, new evidence indicates that events can develop in OMZ shelf waters over prolonged periods of anoxia. The prevalence of these events has ramifications for nitrogen loss and greenhouse gas emissions, including other linked cycles involving carbon and phosphorous. Sulfur‐based metabolisms and activity also extend into the offshore OMZ as a result of particle microniches and lateral transport processes. Moreover, OMZ waters ubiquitously host a community of organosulfur‐based heterotrophs that ostensibly moderate the turnover of organic sulfur, offering an exciting avenue for future research. Our synthesis highlights the widespread distribution and multifaceted nature of the sulfur cycle in oceanic OMZs.
Black phosphorus-based materials for energy storage and electrocatalytic applications

Since its successful isolation in 2014, two-dimensional black phosphorus (BP) has triggered considerable interest ffrom physicists, chemists and material scientists. Benefitting from the unique structural and physicochemical properties, BP has been explored in various applications including photoelectric, biological and electrochemical fields. Besides, BP also shows great potential as a promising electrode material and electrocatalyst in energy storage and electrocatalytic applications, and tremendous progress has been made in these electrochemical fields in recent years. Here, this review highlights the recent experimental and theoretical progress of BP-based electrodes and electrocatalysts. The latest recent advances of BP-based functional materials in energy storage applications including lithium-, magnesium- and sodium-ion batteries, lithium–sulfur batteries and supercapacitors, are presented in detail. Further, the emerging electrocatalytic applications of BP for hydrogen evolution reaction, oxygen evolution reaction and nitrogen reduction reaction are systematically reviewed with achievements and challenges. Finally, we offer brief personal comments on the existing challenges and prospective outlook on the basis of current research progress.
Fault Diagnostic Methodology for Grid-Connected Photovoltaic Systems

This research focuses on the design of a fault diagnosis methodology to contribute to the improvement of efficiency, maintainability and availability indicators of Grid-Connected Photovoltaic Systems. To achieve this, we start from the study of the mathematical model of the photovoltaic generator, then, a procedure is performed to quantify the operational losses of the photovoltaic generator and adjust the mathematical model of this to the real conditions of the system, through a polynomial adjustment. A real system of nominal power 7.5 kWp installed in the Solar Energy Research Center of the province of Santiago de Cuba is used to evaluate the proposed methodology. Based on the results obtained, the proposed approach is validated to demonstrate that it successfully supervises the system. The methodology was able to detect and identify 100% of the simulated failures and the tests carried out had a maximum false alarm rate of 0.22%, evidencing its capacity.
Expression patterns and clinical significances of PBK in lung cancer: an analysis based on Oncomine database

Background Based on both biological and clinical perspectives, lung cancer is a diverse disease with varied histological subtypes. At present, molecular-targeted drugs have broad application prospects in lung cancer clinical therapy. Here, we explored the expression profile of PDZ-binding kinase (PBK) in lung cancer along with its prognostic potential. Methods We employed the Oncomine web resource to explore the differential expression of PBK in LC tissues. Additionally, the prognostic capacity of PBK in lung cancer was explored via the Kaplan-Meier Plotter web resource. Results Overall, 80 studies documented remarkable differences in the expression of PBK in tumor tissue and healthy control tissue. In all studies, 63 studies showed that PBK was upregulated and 17 studies demonstrated that PBK was downregulated. Of the 80 studies, 63 studies showed an increase in PBK expression in diverse kinds of tumor tissues including the following: bladder cancer, gastric cancer, brain and CNS cancer, cervical cancer, esophageal cancer, head and neck cancer, liver cancer, breast cancer, lung cancer, colorectal cancer, lymphoma, ovarian cancer, pancreatic cancer, prostate cancer, sarcoma and others. In addition, PBK expression was increased in 774 lung cancer tissues (P<0.05). Kaplan-Meier Plotter web resource analysis, revealed that PBK levels were negatively linked to the total survival period of individuals with lung cancer (P<0.05). Subgroup evaluations demonstrated that the prognostic significance of PBK was more obvious in individuals with lung adenocarcinoma. In lung cancer categorized by gender, level I-III differentiation, and stage 1 and stage 3 of clinical staging, the survival advantage of the PBK high-expression group was remarkably lower than that of the low-expression group lung cancer patients (P<0.05). Conclusions PBK is an oncogene that is markedly upregulated in lung cancer tissues, and it is correlated with poor prognosis. PBK can be employed as a target in the design of new drugs for lung cancer treatment.
A Battery/Supercapacitor Hybrid Powered EV SRM Drive and Microgrid Incorporated Operations

This article presents a battery/supercapacitor (SC) powered electric vehicle (EV) switched-reluctance motor (SRM) drive and its microgrid incorporated operation control. The battery and the SC are connected to the motor drive dc-link via an H-bridge converter and a one-leg boost–buck converter, respectively. The varied dc-link voltage can be set lower and higher than the battery voltage to yield the improved EV driving performance over a wide speed range. Through the proposed current sharing control approach for the battery and SC, the battery can possess smooth discharging current characteristics. The SC is arranged to be charged by the battery during constant speed driving duration to preserve sufficient energy. In the proposed EV SRM drive current control scheme, the feedback controller is augmented with an observed back electromotive force (EMF) feedforward controller and a robust current tracking error cancellation controller. More importantly, for EV, the commutation shifting and the voltage boosting are applied to reduce the effects of back EMF on the current control under higher speeds and/or heavier loads. The regenerative braking is successfully conducted. Similarly, the speed dynamic control is also enhanced by adding robust control. As to the microgrid incorporated operation, the EV SRM drive can perform the microgrid-to-vehicle (M2V) and vehicle-to-microgrid (V2M) operations to dc microgrid. The required schematics are formed using the embedded converters in the EV drive or the microgrid. Successful operations are verified experimentally.
Scheduling of steelmaking-continuous casting process with different processing routes using effective surrogate Lagrangian relaxation approach and improved concave–convex procedure

This paper studies a steelmaking-continuous casting scheduling problem with different processing routes. We model this problem as a mixed-integer nonlinear programming problem. Next, Lagrangian relaxation approach is introduced to solve this problem by relaxing the coupling constraints. Due to the nonseparability in Lagrangian functions, we design an improved concave–convex procedure to decompose the Lagrangian relaxation problem into three tractable subproblems and analyse the convergence of the improved concave–convex procedure under some assumptions. Furthermore, we present an effective surrogate subgradient algorithm with global convergence to solve the Lagrangian dual problem. Lastly, computational experiments on the practical production data show the effectiveness of the proposed surrogate subgradient method for solving this steelmaking-continuous casting scheduling problem.
ION CHANNELS AND CHANNELOPATHIES

Since the discovery of ion channels in 1970s, the aetiology of many diseases has been traced back to channelopathies. Many toxins produced by snakes, fish, spiders and other insects paralyse the ion channels. Many physiological mechanisms have been studied at molecular level and have confirmed the involvement of ion channels. The ion channels are the recent target sites for pharmaceutical biosynthesis of new drugs. Ion channels have been classified according to the type of gating, number of gates and species of ions passing through them. The hypothetical existence of ion channels was described for the first time in 1952 by British biophysicists; Alan Hodgkin and Andrew Huxley to support their noble winning theory of nerve impulse. In 1970s, the existence of ion channels was confirmed by the invention of â€˜patch clampâ€™ technique by Erwin Neher and Bert Sakmann who won a Nobel Prize for it. In 2003, the Nobel Prize was awarded to American scientists, Roderick MacKinon and Peter Agre for their x-ray crystallographic structure studies on ion channels and Aquaporins respectively.
Automatic subway tunnel crack detection system based on line scan camera

Automatic visual inspection of cracks on concrete surface has become increasingly important for the health diagnosis of subway tunnel structures to prevent catastrophic failures. This paper designs an on‐board image acquisition system using multiple line scan cameras to capture the full‐section images of tunnel surface and proposes a robust automatic crack detection method for noisy and complicated tunnel surface images. The detection method consists of three steps. The first step is a crack enhancing process by using morphological image processing and frequency‐domain enhancing algorithm. In the second step, a multistage fusion filtering algorithm is designed to filter out background noise and interference from images of water stain and various railway devices on the tunnel surface. The third step is to use an improved seed growth algorithm to segment real cracks from the noisy background. The detection system is tested in the Beijing Metro Line 1, and the results demonstrate that the proposed method outperforms existing methods that are only robust for images of small area with a simple background.
Prediction model for the analysis of the haptic perception of textiles

In order to stand out from the competition, the quality of a product as subjectively perceived by the customer is becoming increasingly important. If one wants to meet the comprehensive customer requirements, it is no longer sufficient today to develop a product that focuses only on the functional aspects, but it must also fulfil the sensory requirements at the same time. In this paper, a systematic approach is described that first describes the objectification of customer language for describing the textile haptics of automotive interior materials (11 headliners and 15 seat materials). For this purpose, ten textile-specific descriptors were developed in an expert panel. The descriptors used and the measurement of the human-haptic system are summarized in 4 main groups: 1. warmth/cold sensation, 2. friction properties, 3. deformation, 4. surface/topography. Furthermore, the human-tactile parameters (pressure, speed) that humans exert when touching textile surfaces were determined. The human-sensory product evaluation of the textiles was carried out with 116 test persons. Comparative statistical analyses of the technical parameters (e.g. roughness, friction coefficient, wetting index, deformation) and the human characteristics made it possible to create a prognosis model for determining the quality perception of textile car interior materials.
Being yourself: An assessment of authenticity in undergraduates of a University in Sri Lanka

ABSTRACT Authenticity is an indicator of psychological well-being. Until recently, studies on this construct has been scarce. This study aimed to fill this gap by culturally adapting a Sinhala version of the Authenticity Scale and using it to examine authenticity and selected demographic correlates among Sri Lankan undergraduates. The Sinhala version of the Authenticity Scale showed favourable psychometric properties. The survey results on 1235 Sri Lankan undergraduates indicate that this group is comparable to their counterparts in some dimensions of authenticity. The results also indicate that women report higher authenticity than men. Implications of this study are discussed, whilst emphasising the need to take into account variations that may occur in relation to authenticity in demographic factors such as gender.