Miracle-dz/UniFAR-FTUs huggingface dataset:
Design and Speed Control of SynRM using Cascade PID Controller with PSO Algorithm

In recent years, the variable speed motor drive is supported over a fixed speed motor drive as per essentialness safeguarding, speed or position control and improvement of transient response characteristics. The aim of any speed controller is to take main signal that represent the reference speed and to drive the framework at that reference speed. This paper exhibits the design, simulation and control of synchronous reluctance motor (SynRM). In addition, the motor speed is controlled by utilizing a conventional PID controller that has been used from the cascaded structure. The Particle Swarm Optimization (PSO) was used to find the best parameters of the PID controller. Lead-Lag controller presents from the cascaded controller as the following period of control. The Space vector pulse width modulation (SVPWM) plot has been proposed to control the motor and make the motor work with no rotor confine contingent upon the info parameters that utilization in the simulation. An examination between both of PID tuned and PSO tuned controller affirms that the PSO gives dazzling control highlights to the motor speed and have an edge over the physically changing controller. Thus, this paper present investigation and simulation for the most precise procedures to control the speed reaction and torque reaction of synchronous reluctance motor (SynRM). ©2020. CBIORE-IJRED. All rights reserved
Analytical feature extraction for Individual assessment through Machine Learning in Interface based Interview

: This paper presents a review on various techniques on predicting the interview performance autonomously using machine learning techniques and analyze the audio-visual features using an interface-based video interview by a virtual agent. Different scenarios are studied and compared for a better understanding of human behavior in case of the video interview. In this paper, the existing optimization techniques are reviewed according to their methodologies and advantages. Based on the review, research gaps are observed and the references are provided for further research work.
Modelling Colloidal Stability in Gold Nanoparticles Synthesis - A Review

Nanoparticles are commonly synthesized in colloidal systems, a liquid with suspended macromolecules. By the Brownian motion, these particles can collide and aggregate, leading to larger particles. To stabilize the aggregation process, charges induced by ions cause repulsion among the particles. Through the works of researchers in the past, various models for describing particles aggregation and stabilization have been developed and modified. These models are based on the popular DLVO theory, named after Derjaguin, Landau, Verwey and Overbreek. In this work, evidence illustrating aggregation and stabilization in gold nanoparticles synthesis is reported. Thereafter, models for describing aggregation by the Brownian motion and stabilization by the electrostatic effect are reviewed. The electrostatic effect among the particles is mathematically expressed as the cumulative sum of the Van der Waal’s energy of interaction and the electrostatic energy of repulsion. As the resulting stabilization model is too complex to solve, past researchers reported a simplified stabilization submodel and employed it in describing gold nanoparticles synthesis. Unfortunately, as shown in this review, the submodel failed to describe the synthesis as the aggregation process never stopped, thus making a case for a new modelling approach.
Structural Topology Optimization of Brake Disc Using the Equivalent Moving Load Method

During the braking process, the brake disc is subjected to the moving load. The process-point of the moving load moves along a certain trajectory, which makes it difficult to design the brake disc structure by using a traditional topology optimization method. The novel Equivalent Moving Load (EML) method proposed in this paper aims to solve this problem. According to the principle of continuous photographing technology, a mathematical model was established by using the round inward polygonal approximation algorithm. The EML method equalizes the continuous dynamic load action to many finite working conditions by geometric approximation. These working conditions are placed along the trajectory. The structure of the brake disc is then optimized by the EML method. Additionally, the influence of the layout style of the brake pads and the total number of working conditions on the optimization result are discussed in this paper. The optimization results showed that the new structure is a three-annulus structure. The weight of the new structure is reduced by 57.95% compared to the initial structure by structural topology optimization using the EML method. It was proved that structural topology optimization using the EML method is efficient in optimizing a structure subjected to dynamic load.
Tree diagram of possibilities: analysis of its construction by blind students

The objective of this paper was to discuss the construction of the tree diagram of possibilities by three blind students from a high school in Brazil. This activity was part of the teaching sequence “Jefferson’s Random Walks,” which deals with probabilistic basic concepts. In the diagram, the combinations of the visits of Jefferson to five friends (placed on a 3D 5x5 board), depending on four coin tosses, were presented. Two plastic trays were used (representing the coin), foam cards of two different textures (representing each face), and toys to represent the visited friend. Students identified just four out of the six visiting paths at the board’s center. The researcher helped by identifying the missing paths, and the students registered all 16 possible paths. The importance of this study is to contribute to discussions about adaptation of materials and teaching methods for probabilistic contexts for blind students.
Role of electrocardiogram in identifying the infarct related artery in acute myocardial infarction and to correlate it with 2D echo and coronary angiogram

Background: The Electrocardiogram remains a crucial tool in the identification and management of acute myocardial infarction. A detailed analysis of patterns of ST segment elevation may influence decisions regarding the perfusion therapy. This study was undertaken to study the role of ECG in identifying the infarct related artery in acute ST elevation MI and to correlate its findings with 2 D ECHO and Coronary angiogram. Methods: A total of 100 patients who presented with acute ST elevation MI were randomly selected for the study. After admission all the patients underwent ECG, CPK, CK-MB levels, 2D ECHO and CAG. Patients with ST segment elevation from ECG was evaluated to identify culprit vessel and the ECG findings were then correlated with 2D ECHO and CAG to identify the Sensitivity, Specificity, Positive predictive value and Negative predictive value of ECG in identifying the infarct related artery. Results: Fifty-two (52%) patients had an Anterior wall MI, forty-two patients (42%) had an evidence of Inferior wall MI and Six patients (6%) were found to have Antero inferior wall MI in the study group. Thirty-eight (38%) had evidence of SVD, forty-six patients (46%) had DVD and Sixteen patients (16%) had TVD. Sensitivity, Specificity, PPV and NPV of the ECG in identifying the LAD artery occlusion were 60.5%, 100%, 100% and 44.4% respectively. Sensitivity, Specificity, PPV and NPV of ECG in identifying the RCA artery occlusion were 78.5%, 100%, 100% and 78.5% respectively. Sensitivity, Specificity, PPV and NPV of the ECG in identifying the LCx artery occlusion were 26%, 96%, 86% and 60% respectively. Conclusions: ECG was found to be a sensitive and specific tool in identifying the infarct related Coronary artery in acute ST elevation MI.
Folding and Binding Characteristics of Cancer-Associated Proteins

Cancer is an important disease that threatens human health. Protein mutations disrupt the normal proliferation regulation of cells, which leads to the formation of tumor. In this paper, we studied the characteristics of connectivity degree, folding rate, aggregation propensity of cancer-associated proteins and their relationships. We explored the aggregation propensity of neoantigen proteins in cancer immunotherapy and examined the overlap between neoantigen and cancer-associated proteins. The results showed that cancer-associated proteins have higher connectivity degree, larger folding rate, lower aggregation propensity and that there is a significant negative correlation between the folding rate and aggregation propensity of cancer-associated proteins. The aggregation propensity of neoantigen proteins are increased compared with the corresponding premutated sequences. Our study helps to understand the protein folding and binding mechanisms and proffers a new indicator for the selection of neoantigens that are useful in designing immunotherapy for cancer treatment.
Intelligent Traffic Management System Based On Internet of Vehicles (IOV)

: This paper provides Internet of Vehicles (IOV) based on intelligent traffic management system, which is featured by high compatibility, easy to upgrade to replace traditional traffic management system, low cost and the proposed system can improve road traffic tremendously. The IOV is based on the internet, detection technologies and network wireless sensors to recognize traffic object, monitoring, managing and tracking & processed automatically. In recent years, popularity of private cars is getting urban traffic more and more crowded. As a result, traffic I becoming one of the important problems in big cities in all over the world. Some of the traffic concerns are congestions and accidents which have caused a huge waste of time, property damage and environmental pollution. The proposed system is mainly based on the concept of Internet of Things (IOT). IOT is a world-wide network connecting all the smart objects together, enabling them to talk with each other. Whenever those smart things are restricted to connected vehicles only, then it can be named as Internet of Vehicles (IOV). The basic functionalities of this proposed system include monitoring of speed limits, pollution checks, and emergency response to road accidents and providing security to the server, etc., should also be taken care to make life easier.
Measuring Microscopic Forces with Optical Trapping

We investigate the use of an optical trap to measure Boltzmann’s constant. We investigate a variety of analyses that are robust to different errors. Using the equipartition theorem proves to work poorly when a quadrant photodetector is used, but shows promising results with a computer vision technique. Using a power spectral density method determines Boltzmann’s constant to be 1.5 ± 0.6 × 10−23J K−1, which is in good agreement with the established value of 1.3 × 10−23 J K−1. Finally, we measure the Stokes drag to get a measurement of trap strength independent of Boltzmann’s constant.
THE IMPORTANCE OF GUIDING QUESTIONS IN REFLECTIVE JOURNALING

A study of student teachers’ experiences of the journal writing was carried out. Participants were the 15 student teachers enrolled into the EDUC 420 – Practice Teaching course. The aim of the study was to examine student teachers’ experiences of journal writing based on their perceptions and views to develop insights into reflection and reflective practice. A qualitative paradigm was used wherein an interpretive methodology was adopted. Semi-structured interviews and end-of-the-semester reflection essays were used as data collection methods. Content analysis method was used to analyse the qualitative data. Student teachers indicated that journal writing created awareness of the self as a teacher in terms of weaknesses and the strengths; however, they also reported on the lack of depth, diversity and perspective in guidelines provided in the journals and reports. In most of the perceptions, the role and lack of the focus and guiding questions were underlined.
A Complex Analysis Employing ARIMA Model and Statistical Methods on Air Pollutants Recorded in Ploiesti, Romania

Air pollution is an everyday issue, very relevant to public authorities, requiring control and monitoring to provide data for decision-making policies. The objective of this study was to evaluate the air quality in Ploiesti city, Romania and to observe the advantages and limitations of the some statistical methods used in forecasting air quality. Data for six air quality parameters collected at monitoring stations in Ploiesti during the 2013 year were statistically analyzed. Principal component analysis (PCA) was used to provide a relevant description in factors that can be explained in terms of different sources of air pollution. The measured pollutants data were statistically analyzed using the auto-regressive integrated moving average (ARIMA) method in order to assess the efficiency of using this method in forecasting the environmental air quality. The results revealed that ARIMA method has some limitations and do not produce satisfactory results for certain air pollutants such as PM10 and CO, even the forecasted period is short. By comparison, the ARIMA model obtained for NOx , NO2 , or O3 time series, provides good results, with relative errors around 5%.
The Editor and the Algorithm: Returns to Data and Externalities in Online News

We run a field experiment to quantify the economic returns to data and informational externalities associated with algorithmic recommendation in the context of online news. Our results show that personalized recommendation can outperform human curation in terms of user engagement, though this crucially depends on the amount of personal data. Limited individual data or breaking news leads the editor to outperform the algorithm. Additional data helps algorithmic performance but decreasing economic returns set in rapidly. Investigating informational externalities highlights that personalized recommendation reduces consumption diversity. Moreover, users associated with lower levels of digital literacy and more extreme political views engage more with algorithmic recommendations.
Brief Report: Genomic epidemiology 1 of a densely sampled COVID19 2 outbreak in China 3

Analysis of genetic sequence data from the pandemic SARS Coronavirus 2 can provide 18 insights into epidemic origins, worldwide dispersal, and epidemiological history. With few exceptions, genomic epidemiological analysis has focused on geographically distributed data sets 20 with few isolates in any given location. Here we report an analysis of 20 whole SARS-CoV 2 21 genomes from a single relatively small and geographically constrained outbreak in Weifang, 22 People’s Republic of China. Using Bayesian model-based phylodynamic methods, we estimate the 23 reproduction number for the outbreak to be 2.6 (95% CI:1.5-5). We further estimate the number of 24 infections through time and compare these estimates to conﬁrmed diagnoses by the Weifang 25 Centers for Disease Control. We ﬁnd that these estimates are consistent with reported cases and 26 there is unlikely to be a large undiagnosed burden of infection over the period we studied. 27
TF-IDF Inspired Detection for Cross-Language Source Code Plagiarism and Collusion

Several computing courses allow students to choose which programming language they want to use for completing a programming task. This can lead to cross-language code plagiarism and collusion, in which the copied code file is rewritten in another programming language. In response to that, this paper proposes a detection technique which is able to accurately compare code files written in various programming languages, but with limited effort in accommodating such languages at development stage. The only language-dependent feature used in the technique is source code tokeniser and no code conversion is applied. The impact of coincidental similarity is reduced by applying a TF-IDF inspired weighting, in which rare matches are prioritised. Our evaluation shows that the technique outperforms common techniques in academia for handling language conversion disguises. Further, it is comparable to those techniques when dealing with conventional disguises.
Bridelia ferruginea Leaf Fractions Ameliorates Helminth Infections

Introduction Helminth infections remain a global burden in terms of its widespread and its effect on human and animal health [1]. More than a quarter of human population is infected, leading to serious morbidity and mortality [2]. Helminth infections continue to be the most substantial cause of economic losses in livestock industry [3]. Although the greater numbers of infections due to worms are extensively restricted to tropical regions, they impinge upon travelers, who have visited those areas and some of them can flourish in temperate regions [4]. The exploration and commercialization of synthetic drugs, though numerous, have not ameliorated the persistent dilemma due to rapid development of resistance in helminth parasites to all kinds of commercial drugs as well as accessibility problem for farmers, particularly native ones [3]. Therefore, farmers are compelled to rely heavily on ethno-medicines for controlling helminthiasis for their livestock.
Clown Fishes Breeding in Captivity Using Low Cost Resources and Water Recycling

Marine aquaculture has grown worldwide in recent decades, but around 90% of ornamental marine fish available in aquarium are results of extractive practices. Ornamental fish farming try to supply the indiscriminate collection of native fish, avoiding their extinction. However, marine fish breeding in captivity still walks on a small scale, being an activity dependent on the acclimatization of the species in tanks, ability of the breeder to produce viable eggs, acquisition of large quantities of larvae, and maintaining the juveniles until they become young adults. The cost of the activity is usually quite high, making it difficult for small producers to invest. The possibility of developing new methodologies could help in reducing the maintenance value of aquaria, ensuring a fish breeding at a lower cost than usual. Thus, using three species of clownfish, we intend to disseminate experiences acquired in the reproduction of these species, at a low cost and with great economic viability. Clown fishes were acclimatized in aquarium devoid of high cost equipment. The water used was conditioned through the brine shrimp breeding, allowing filtration and recycling of the water. Through increased food demand, the courtship was induced and the spawning occurred in all three species. The survival rate of larvae and juveniles was significant, and 85% of the offspring was able to reach adulthood. Despite the form of maintenance described here is not the usual one, the results were positive, allowing the reproduction of fish at a low operational cost.
trans-Cinnamaldehyde Reverses Depressive-Like Behaviors in Chronic Unpredictable Mild Stress Rats by Inhibiting NF-κB/NLRP3 Inflammasome Pathway

trans-Cinnamaldehyde (TCA) is the main active component extracted from Cinnamomum cassia (C. cassia), which has many pharmacological effects, such as anti-inflammation, lowering blood glucose, and improving nerve function. However, there is no report of TCA in the treatment of depression. The purpose of this study was to investigate the antidepressant-like effect of TCA and the mechanism of NF kappa B (NF-κB) pathway and NLRP3 inflammasome inhibition by TCA. We divided 40 rats into the control group, CUMS group, FLU group, and the TCA group. The activation of the NF-κB pathway and NLRP3 inflammasome in prefrontal cortex and hippocampus of rats in each group was observed. After the treatments with FLU and TCA, the sucrose consumptions in rats increased significantly and the immobility time in forced swimming was decreased significantly compared to the CUMS group. The expression of TLR4, NF-κB-1, p-p65, TNF-α, NLRP3, ASC, caspase-1, IL-1β, and IL-18 proteins in prefrontal cortex and hippocampus was decreased, and the expression of IL-1β, IL-18, and TNF-α in serum was downregulated compared to the CUMS group. Similar to FLU, TCA reverses the depression-like behaviors in rats, which indicates that TCA has a significant antidepressant-like effect. The mechanism of the antidepressant property of TCA might be that it inhibits the activation of the NF-κB pathway and NLRP3 inflammasome in the prefrontal cortex and hippocampus of CUMS rats.
Personalized Travel Spot Recommendation and Guidance System for Sri Lankan Tourists

-Tourism in Sri Lanka is an evolving field which is significantly influencing the development of the country. With the rapid advancement of Affective computing and its’ diverse paths where applications are being implemented by facilitating user needs and emotions, tourism has become one of the prominent fields to provide a comprehensive analysis of useful inclination in specific travel spots based on the user interests and emotions. Traditional tourism methodologies where a travel guide guides on a tourists’ journey has nowadays become an old fashion where the tourist himself has innovative applications which provide a guide in almost all the areas in his journey beginning to end. This study proposes a solution where tourist gets a personalized recommendation on travel spots to visit, a summary of the recommended travel spots with a native language translation facility and a translating system to translate landmarks displayed on travel spots such as notice boards and signboards into their native language. Our system divided into four components focusing on (a) profiling users, (b) identifying user locations and travel spots, (c) extracting user reviews about travel spots, summarize and analyse sentiments levels and (d) identifying landmarks displayed in travel spots and translate them into traveller’s native language. This approach makes ease traveller’s life providing personalized recommendations based on collaborative and content filtering approaches.
External validation of the eighth edition of the TNM classification for lung cancer in 3,611 surgically treated patients at a single institution.

Background A new revision of the tumor, node, metastasis (TNM) classification for lung cancer has been proposed by the International Association for the Study of Lung Cancer (IASLC), but external validation for it is required. This study aimed to evaluate stage groupings in the 8th edition of the TNM classification in an independent Chinese cohort. Methods We retrospectively analyzed 3,611 patients who were diagnosed as stage I to IV non-small cell lung cancer (NSCLC) and who received surgical treatment at our institute in China between October 2009 and August 2017. Long-rank tests were used to compare survival between two adjacent stage groups. Results Based on the 8th edition of the TNM classification, differences between every 2 adjacent stage groups were found to be significant except between Ia1 and Ia2 (P=0.062), and between IIIc and IVa (P=0.063). Significant differences were found between every 2 adjacent categories stratified by the T and N descriptors. Additionally, significant differences were found between M0 and M1a (P<0.001), while no significant difference was observed between M1a and M1b (P=0.092). Conclusions Our study provides an external validation of the stage groupings in the 8th edition of the TNM staging system in surgically treated Chinese patients with NSCLC.
Molecular Dynamics Simulation of Epoxy Resin Systems

Epoxy resins are a group of molecules that contain an epoxy group, as displayed in Figure 1. After an exposure to heat, epoxides bond with hardeners in the crosslinking reaction. This creates polymer chains in a process called curing, and the system undergoes changes from liquid form to solid [1]. Furthermore, after curing, epoxy resins are energy intensive to revert them back to their original state [2]. For the above reasons, epoxies are often used as adhesives, coatings, encapsulates, casting materials or other applications [1]. Additional molecules can be introduced to change the behavior and structure of the system according to the chemist’s specifications.