Miracle-dz/UniFAR-FTUs huggingface dataset:
RB-MOPSO: A PSO algorithm based on reference points

Many-objective problems refer to problems containing large number of objective functions to be optimized, typically more than three. As most existing algorithms based on Pareto dominance are not efficient in handling this kind of problem, researchers have been working on alternatives to overcome these limitations. Recently, Deb et al. proposed an improved NSGA-II, the principal characteristic of which is the use of reference points to obtain a larger covered portion of the Pareto front. Inspired by the results of the improved NSGA-II, in this paper we propose a new algorithm based on Particle Swarm Optimization grounded on these concepts. The algorithm, called RB-SMPSO, presents as features improved mechanisms for (i) the update of the external archive to consider the reference points, and (ii) the selection of social leaders. In order to validate the proposal, a comparative study is presented considering a state of art MOPSO-based algorithm (Speed-constrained Multi-Objective Particle Swarm Optimization, SMPSO) using two different leader selection methods. All algorithms are evaluated using well-known scalable problems with 2, 3, 5, 10, 15 and 20 objectives, respectively. The results point out that RB-SMPSO presents the better overall performance between the compared approaches. Keywords-Particle Swarm Optimization, Multi-objective, Many-objective, Optimization
Kinetics Analysis of CO2 Mineral Carbonation Using Byproduct Red Gypsum

In this study, a simplified model was proposed for CO2 mineral carbonation of red gypsum. The model was based on the PHREEQC-2.18 program, which is used for thermodynamic calculations. Test experiments in an aqueous carbonation reactor were used as reference (Rahmani, O.; Junin, R.; Tyrer, M.; Mohsin, R. Mineral carbonation of red gypsum for CO2 sequestration. Energy Fuels 2014, 28, 5953−5958 and Rahmani, O.; Tyrer, M.; Junin, R. Calcite precipitation from by-product red gypsum in aqueous carbonation process. RSC Adv. 2014, 4, 45548–45557) to verify the model, evaluate the possibility of implementing reactions, and predict the reaction progress over time. At the first step, the model thermodynamic constants and rate expressions were initially determined from experiments in an autoclave mini reactor. These parameters were then included in the model, and their quality was tested by comparing experimental and modeled data in the CO2 mineral carbonation of red gypsum. The evaluated model should prove valuable.
Which network measures explain the interest rate spread in the Mexican secured and unsecured interbank markets?

In an economy, it is essential to know the determinants of the interest rate spread, because it reflects the positions of lenders and borrowers. We determine which network centrality measures explain that relationship, during pre-crisis, crisis, and other financial stress periods. From a perspective of Networks Theory and econometric models with machine learning fundamentals, we analyze the structural properties of the secured and unsecured interbank markets in Mexico, finding evidence to support the “too-big-to-fail” and “too-interconnected-tofail” hypotheses. In both markets, PageRank is a major determinant of the spread. Metrics associated with the notion of influence and systemic risk (Katz and DebtRank) affect the unsecured market in each period. In general, a bank that is central or systemically important can charge higher interest rates and finance itself at lower interest rates.
VOLUME-OF-FLUID SIMULATION OF GAS DISSOLUTION IN LIQUID: RISING BUBBLES AND CO2 TRAPPING

Multiphase multispecies transport is an essential field of study for a wide range of applications including bubble reactors and CO2 storage in the subsurface. Modelling of these processes is challenging due to the discontinuity of material properties, making accurate modelling of mass transfer at reactive interface difficult. Maes and Soulaine (2020) have recently developed a numerical model based on a single-field formulation for Volume-Of-Fluid simulation of interfacial mass transfer with local volume changes. This model was validated by comparison with a semi-analytical solution for the dissolution of a rising bubble of gas in liquid in the creeping (or spherical) flow regime. However, this model is only first-order accurate, and will therefore depend strongly on the discretization scheme used. In this work, we consider two different numerical schemes for the discretization of species interfacial fluxes. Convergence and accuracy are compared for dissolution of a rising bubble of gas in liquid at various regimes (spherical, ellipsoidal shape and dimpled ellipsoidal shaped). The model is then applied to simulate the dissolution of trapped bubble of CO2 in a cavity.
Scaling Dynamic Hash Tables on Real Persistent Memory

Byte-addressable persistent memory (PM) brings hash tables the potential of low latency, cheap persistence and instant recovery. The recent advent of Intel Optane DC Persistent Memory Modules (DCPMM) further accelerates this trend. Many new hash table designs have been proposed, but most of them were based on emulation and perform sub-optimally on real PM. They were also piecewise and partial solutions that side-stepped many important properties, in particular good scalability, high load factor and instant recovery.
Socialization of Masks and Hand Sanitizer Usage as a Preventive Activity of Covid-19

The purpose of this service program is to provide public health education through socialization to informal sector workers as a form of preventing the spread of COVID-19. This dedication is procedures for the prevention of COVID-19 socialization, according to WHO. The method used is an explanation and participatory observation wich can socialize directly to the community about the danger and prevention of COVID-19 transmission, while participatory observation provides masks and hand sanitizer package for 100 informal sector workers, and divided into 3 groups, there are greengrocers, street vendors, and part-time workers. The results of socialization with usage of masks and hand sanitizers as a preventive of Corona Virus Disease 2019 (COVID-19) and informal sector workers is that they can: 1) washing hands with soap, especially when about to start the activity and finish the activity, after coming from outside, after getting contact with other people as when serving the buyer, 2) wearing masks, 3) keep a safe distance from other workers and buyers between 1-2 meters, 4) avoid touching the eyes, nose, mouth and other moist limbs, 6) to immediately seek medical help if workers feel symptoms on their body such as fever, coughing, difficulty in breathing.
Attracting tourists to travel companies’ websites: the structural relationship between website brand, personal value, shopping relationship between website brand, personal value, shopping

To cite this article: Shahriar Mohseni, Sreenivasan Jayashree, Sajad Rezaei, Azilah Kasim & Fevzi Okumus (2018) Attracting tourists to travel companies’ websites: the structural relationship between website brand, personal value, shopping experience, perceived risk and purchase intention, Current Issues in Tourism, 21:6, 616-645, DOI: 10.1080/13683500.2016. 1200539 To link to this article: https://doi.org/10.1080/13683500.2016. 1200539
Adolescent Religiosity as a Protective Factor for Delinquency: Review of Evidence and a Conceptual Framework for Future Research

The first section of this chapter reviews evidence showing that although greater religiosity has been associated with less involvement in delinquent and analogous behaviors, the mechanisms and processes through which religiosity is linked to delinquent behavior are not well understood. In the second section of the chapter, a conceptual framework and theory for studying the religion-delinquency association will be presented. The framework adapts and builds on Gottfredson and Hirschi’s (1990) General Theory of Crime. The third section of the chapter presents results of the initial study guided by the framework. Data are drawn from a longitudinal study of development during the transition from middle childhood to adolescence. Participants (n = 181) completed standard self-report assessments. Results provide initial evidence that the link between religiosity and delinquent behavior problems can be explained by the reduced opportunities and dispositions to engage in delinquent behavior more common among highly religious than less highly religious adolescents.
Chaotic-Based Particle Swarm Optimization Algorithm for Optimal PID Tuning in Automatic Voltage Regulator Systems

Introduction. In an electrical power system, the output of the synchronous generators varies due to disturbances or sudden load changes. These variations in output severely affect power system stability and power quality. The synchronous generator is equipped with an automatic voltage regulator to maintain its terminal voltage at rated voltage. Several control techniques utilized to improve the response of the automatic voltage regulator system, however, proportional integral derivative (PID) controller is the most frequently used controller but its parameters require optimization. Novelty. In this paper, the chaotic sequence based on the logistic map is hybridized with particle swarm optimization to find the optimal parameters of the PID for the automatic voltage regulator system. The logistic map chaotic sequence-based initialization and global best selection enable the algorithm to escape from local minima stagnation and improve its convergence rate resulting in best optimal parameters. Purpose. The main objective of the proposed approach is to improve the transient response of the automatic voltage regulator system by minimizing the maximum overshoot, settling time, rise time, and peak time values of the terminal voltage, and eliminating the steady-state error. Methods. In the process of parameter tuning, the Chaotic particle swarm optimization technique was run several times through the proposed hybrid objective function, which accommodates the advantages of the two most commonly used objective functions with a minimum number of iterations, and an optimal PID gain value was found. The proposed algorithm is compared with current metaheuristic algorithms including conventional particle swarm optimization, improved kidney algorithm, and others. Results. For performance evaluation, the characteristics of the integral of time multiplied squared error and Zwe-Lee Gaing objective functions are combined. Furthermore, the time-domain analysis, frequency-domain analysis, and robustness analysis are carried out to show the better performance of the proposed algorithm. The result shows that automatic voltage regulator tuned with the chaotic particle swarm optimization based PID yield improvement in overshoot, settling time, and function value of 14.41 %, 37.91 %, 1.73 % over recently proposed IKA, and 43.55 %, 44.5 %, 16.67 % over conventional particle swarm optimization algorithms. The improvement in transient response further improves the automatic voltage regulator system stability for electrical power systems.
Synthesis and Physicochemical Characterization of Novel Dicyclopropyl-Thiazole Compounds as Nontoxic and Promising Antifungals

There is a need to search for new antifungals, especially for the treatment of the invasive Candida infections, caused mainly by C. albicans. These infections are steadily increasing at an alarming rate, mostly among immunocompromised patients. The newly synthesized compounds (3a–3k) were characterized by physicochemical parameters and investigated for antimicrobial activity using the microdilution broth method to estimate minimal inhibitory concentration (MIC). Additionally, their antibiofilm activity and mode of action together with the effect on the membrane permeability in C. albicans were investigated. Biofilm biomass and its metabolic activity were quantitatively measured using crystal violet (CV) staining and tetrazolium salt (XTT) reduction assay. The cytotoxic effect on normal human lung fibroblasts and haemolytic effect were also evaluated. The results showed differential activity of the compounds against yeasts (MIC = 0.24–500 µg/mL) and bacteria (MIC = 125–1000 µg/mL). Most compounds possessed strong antifungal activity (MIC = 0.24–7.81 µg/mL). The compounds 3b, 3c and 3e, showed no inhibitory (at 1/2 × MIC) and eradication (at 8 × MIC) effect on C. albicans biofilm. Only slight decrease in the biofilm metabolic activity was observed for compound 3b. Moreover, the studied compounds increased the permeability of the membrane/cell wall of C. albicans and their mode of action may be related to action within the fungal cell wall structure and/or within the cell membrane. It is worth noting that the compounds had no cytotoxicity effect on pulmonary fibroblasts and erythrocytes at concentrations showing anticandidal activity. The present studies in vitro confirm that these derivatives appear to be a very promising group of antifungals for further preclinical studies.
American Journal on Intellectual and Developmental Disabilities Narrative Analysis in Adolescents with Fragile X Syndrome

Purpose: This study analyzed narratives of male and female adolescents with FXS. The impact of structural language, cognition and autism symptomatology on narrative skills and the association between narratives and literacy were examined. Method: Narratives from 32 adolescents with FXS (24 males, 8 females) were analyzed for macrostructure. Relationships between narrative macrostructure, language scores, cognitive scores, CARS scores and literacy skills were examined. Results: Males produced more simplistic narratives, while the females’ narratives were more complex. Language scores predicted narrative scores above and beyond nonverbal cognitive skills and autism symptomatology. Narrative scores correlated with literacy scores. Conclusions: Narrative skills in FXS are predicted by language skills and are correlated with literacy skills. Investigation into narrative interventions in FXS is needed. Powered by Editorial Manager® and ProduXion Manager® from Aries Systems Corporation NARRATIVE ANALYSIS OF ADOLESCENTS WITH FXS 1 Narrative Analysis in Adolescents with Fragile X Syndrome
GraphEDM: A Graph-Based Approach to Disambiguate Entities in Microposts

The use of microblogging platforms such as Twitter has been growing rapidly. With about 500M tweets published per day, tweets are becoming a valuable source of information for several tasks such as event detection, sentiment analysis, or opinion mining, and are being leveraged by many prominent organizations. However, one must first be able to correctly capture the semantic content of a tweet prior to leveraging it for any automated analysis. Automatically understanding tweets is extremely challenging, as the information they contain is limited and insufficient for algorithms that need a larger context. In this work, we propose an approach that extends the context of a micropost by leveraging graph-based algorithms to further disambiguate the entities present in it. Our approach, GraphEDM, is divided into two phases. First, we use unsupervised clustering approaches to regroup tweets in semantic neighborhoods using embedding approaches. Next, each ambiguous entity in a cluster is iteratively disambiguated by leveraging a graph-based algorithm. Our experimental results reveal that GraphEDM outperforms the state of the art in tweet entity disambiguation by up to 15.13% on several gold standard datasets.
STUDY OF THE GENETIC DIVERSITY AND CONSERVATION OF DENDROBIUM SPECIES

Genetic diversity, which shows potential of evolution of a species is an important parameter in the proper management and conservation of the species. Therefore, the preservation of the genetic variation is necessary for carrying out the species conservation and choosing and breeding different varieties of new plants which are appropriate for a variety of environment conditions. The dendrobium is one of the biggest groups in the family of the Orchidaceae consisting nearly 1500 species all around the world and it is mostly found in the equatorial and surrounding areas of Asia, Europe and Australia and the surrounding islands of Oceania. In the last few years, different types of molecular methods such as restriction fragment length polymorphism (RFLP), random amplified polymorphic DNA (RAPD), simple sequence repeat (SSR), and amplified fragment length polymorphism (AFLP) are employed to study the genetic diversity and structure of endangered plants which are within species and among species, allowing the researchers to find the reasons behind the dangers and also to find possible conservation strategies. Tissue culture, gives us a method by which we can produce a huge amount of genetically similar plants, healthy and physiologically superior quality plantlets in a short amount of time. In the production of the plants by this method, there is a very high amount of survival percentage, which is accompanied by a good quality of acclimatized plantlets, which are in great demand in commercial levels and orchid production by the process of
Master Computer Science A network-driven understanding of user interaction in topical online communities

Reddit is a large social news website with over 200 million unique users. The aim of this project is to analyse the way users interact within diﬀerent communities of Reddit. Reddit has no explicit friend-ship links between users, such as Facebook has, so the social network is inferred from user commenting activity. In this thesis diﬀerent Red-dit communities will be compared based on three diﬀerent approaches. Descriptive network metrics are used to analyse the static aspect of the networks. To include a temporal aspect of user interaction, the occurrences of temporal motifs within the networks are measured. The ﬂow of information through the networks is modelled using a SIR model. Findings show several distinctions in interaction patterns and behaviour of users within the diﬀerent communities.
Towards Sample Efficient Learners in Population based Referential Games through Action Advising

The ability of agents to learn to communicate through interaction has been studied through emergent communication tasks. Previous works in this domain have studied the linguistic properties of the emergent languages like compositionality, generalization, and as well as the environmental pressures that shape them. However, most of these experiments require a considerable amount of shared training time between agents to communicate successfully. Our work highlights the problem of sample inefficiency of agents in population-based referential games and proposes an Action Advis-ing framework to counter it.
Deduplication: Concepts and Techniques

This document’s goal is to present a survey of the general deduplication design space. Deduplication is a broad concept, and deduplication systems can be implemented us-ing a variety of techniques and design choices. For each core design element, the document presents the high-level idea and a set of considerations that inﬂuence an appropriate choice for that design. The document also presents a few representative systems as case studies, hopefully giving a sense for practical parameter choices and their implications. If there are parts of the text that are unclear, please let me know so that I can improve them! I am not aware of any good surveys/introductory texts on deduplication, so this is my attempt to create one for us to use in this class.
THE INFLUENCE OF MUSHROOM CORIOLUS VERSICOLOR AND HAZELNUTS ENRICHMENT ON ANTIOXIDANT ACTIVITIES AND BIOACTIVE CONTENT OF DARK CHOCOLATE

Oxidative stress is among the main culprits for the progression of chronic diseases such as cardiovascular diseases, diabetes, and neurodegenerative disorders. It is well known that dark chocolate possesses polyphenols as major constituents which dietary consumption has been associated to health beneficial effects. Consequently, this study aimed to analyze dark chocolate (DC) and dark chocolate enriched with medicinal mushroom Coriolus versicolor (DCC) and hazelnuts (DCH) regarding antioxidant potential and total polyphenol (TPC), flavonoid (TFC), flavan-3-ol (FLA) and proanthocyanidin (PCA) content. DPPH, CUPRAC and ABTS assays were applied for measuring antioxidant capacity. The average of all antioxidant tests for each product was used for calculating the antioxidant potency composite index (ACI). The mean values of all antioxidant assays indicated that all chocolate products contained potent antioxidants. The addition of hazelnuts to dark chocolate significantly affected its total flavonoid content. Regression analysis among results obtained with antioxidant assays revealed that dark chocolate and dark chocolate products may act in mixed mode, by direct reduction via electron transfer or by radical quenching via H atom transfer. Flavan-3ols had the most significant impact on the ability of the analyzed samples to reduce metals, while proanthocyanidins primarily acted as radical scavengers. The obtained results provided additional information regarding the value-added dark chocolates enriched with bioactive compounds of medicinal mushroom and plant origin.
ULTRA-WIDEBAND FEATURING ENHANCED DELAY AND SUM ALGORITHM AND ORIENTED FOR DETECTING EARLY STAGE BREAST CANCER

In this study, we present the experimental results of ultra-wideband (UWB) imaging oriented for detecting small malignant breast tumors at an early stage. The technique is based on radar sensing, whereby tissues are differentiated based on the dielectric contrast between the disease and its surrounding healthy tissues. The image reconstruction algorithm referred to herein as the enhanced version of delay and sum (EDAS) algorithm is used to identify the malignant tissue in a cluttered environment and noisy data. The methods and procedures are tested using MRI-derived breast phantoms, and the results are compared with images obtained from classical DAS variant. Incorporating a new filtering technique and multiplication procedure, the proposed algorithm is effective in reducing the clutter and producing better images. Overall, the methods and procedures registered a signal-to-clutter ratio (SCR) value of 1.54 dB when imaging the most challenging example involving the heterogeneously dense model in 8-antenna geometry. The SCR is slightly increased to 3.12 dB when the number of sensors is increased to 16.
Visualizing Online Social Networks in the Context of Web 2.0

—The following paper presents an approach to visualizing social networks in the context of Web 2.0 (social Web) applications. We propose a Web application architectural model that is suited to the task at hand. Also, several examples are presented, by integrating Flex free libraries used to enable (semantic) visualizations of social network data.