Miracle-dz/UniFAR-FTUs huggingface dataset:
Spatially Extended SHAR Epidemiological Framework of Infectious Disease Transmission

Mathematical models play an important role in epidemiology. The inclusion of a spatial component in epidemiological models is especially important to understand and address many relevant ecological and public health questions, e.g., when wanting to differentiate transmission patterns across geographical regions or when considering spatially heterogeneous intervention measures. However, the introduction of spatial effects can have significant consequences on the observed model dynamics and hence must be carefully analyzed and interpreted. Cellular automata epidemiological models typically rely on simplified computational grids but can provide valuable insight into the spatial dynamics of transmission within a population by suitably accounting for the connections between individuals in the considered community. In this paper, we describe a stochastic cellular automata disease model based on an extension of the traditional Susceptible-Infected-Recovered (SIR) compartmentalization of the population, namely, the Susceptible-Hospitalized-Asymptomatic-Recovered (SHAR) formulation, in which infected individuals either present a severe form of the disease, thus requiring hospitalization, or belong to the so-called mild/asymptomatic class. The critical transmission threshold is derived analytically in the nonspatial SHAR formulation, and this generalizes previously obtained theoretical results for the SIR model. We present simulation results discussing the effect of key model parameters and of spatial correlations on model outputs and propose an algorithm for tracking the evolution of infection clusters within the considered population. Focusing on the role of import and criticality on the overall dynamics, we conclude that the current spatial setting increases the critical transmission threshold in comparison to the nonspatial model.
Estratégia de Conversor para Interligação de Sistemas de Geração Eólica à Rede Elétrica

Currently, there are several power converter topologies ap plied to wind power generation. The converters allow the use of wind turbines operatin g at variable speed, enabling better use of wind forces. The high performance of the conver ters is being increasingly demanded, mainly because of the increase in the power gen ration capacity by wind turbines, which gave rise to various converter topologies, such as parallel or multilevel converters. The use of converters allow effective control o f the power injected into the grid, either partially, for the case using partial converte r, or total control for the case of using full converter. The back-to-back converter is one of t he most used topologies in the market today, due to its simple structure, with few compo nents, contributing to robust and reliable performance. In this work, is presented the imp le entation of a wind cogeneration system using a permanent magnet synchronous gen erator (PMSG) associated with a back-to-back power converter is proposed, in order to inject active power in an electric power system. The control strategy of the active po wer delivered to the grid by cogeneration is based on the philosophy of indirect control .
An L- and S-band SAR Mission Concept for Earth Science and Applications

The National Aeronautics and Space Administration (NASA) in the United States and the Indian Space Research Organisation (ISRO) have embarked on a study of a future Earth-orbiting science and applications mission that exploits synthetic aperture radar to map Earth's surface every 12 days. To meet demanding coverage, sampling, and accuracy requirements, the system was designed to achieve over 240 km swath at fine resolution, and using full polarimetry where needed. To address the broad range of disciplines and scientific study areas of the mission, a dual-frequency system was conceived, at L-band (24 cm wavelength) and S-band (10 cm wavelength). To achieve these observational characteristics, a reflector-feed system is considered, whereby the feed aperture elements are individually sampled to allow a scan-on-receive ("SweepSAR") capability at both L-band and Sband. This paper describes the mission characteristics, current status of the joint study, and the technology development efforts in the United States that are reducing risk on the key radar technologies needed to ensure proper SweepSAR operations.
Multi-channel FM transmission of vibrotactile signals on 2-D communication textile

: This paper proposes a frequency-division multiplexed vibrotactile signal transfer system on conductive textiles for implementing wearable tactile suits. For multiplexing, many carrier frequencies are in one-to-one correspondence with many receivers. Each carrier signal is frequency-modulated with analog vibrotactile waveforms, and each receiver demodulates it and drives its built-in actuator. The analog waveform transmission achieves multi-channel real-time vibrotactile actuation, which is suitable for applications such as virtual reality (VR) games. A commercially available frequency modulation (FM) radio receiver chip achieves high sensitivity and superior channel selectivity. Carrier frequencies can be located in a 32 MHz bandwidth, from 76 MHz to 108 MHz, every 200 kHz, and 160 channels of vibrotactile waveforms can be transmitted simultaneously.
A study of Design Application in Tangible User Interface

In the research of HCI (Human-Computer Interaction), we always use the GUI (graphical user interface) of graphics input devices until we invent TUI (tangible user interface) which is used to control the computer by hand-touching or other subjects. In this study, we investigate and classify several TUI for the most part in business with the theory and concept of Tangible Bits by Hiroshi Ishii & Brygg Ullmer in order to research the development of TUI.
Bivariate Flood Frequency Analysis: A case study of Rib River, Upper Blue Nile Basin, Ethiopia

Hydrological design, planning and design of flood mitigation structures require detailed knowledge of the characteristics of the flood event, i.e. peaks, volumes, occurrence times and duration. In addition to the uncertainty associated with the occurrence in both space and time, these events may often have a correlation of varying strengths. The literature study interestingly reveals that the majority of studies are based on a univariate approach rather than a more realistic approach that recognizes the multivariate nature of the underlying phenomenology. Therefore, the main objective of this study is to revisit the topic of sizing of flood events in terms of their frequency of occurrence using the ‘Copula’ based bivariate approach to analyze the joint distributions of correlated flood variables with a special focus on Ribb sub basin, Upper Blue Nile (Ethiopia) as the case study. The methodology was applied to flood attributes, i.e. flood peaks and volume generation from partial duration series (PDS) by applying run theory. The Joint Cumulative Distribution Function, the Conditional Cumulative Distribution Function and the associated Return Periods can be easily achieved based on the bivariate distribution of the copula and compared to the univariate analysis.
A Super High Gain L-Slotted Microstrip Patch Antenna For 5G Mobile Systems Operating at 26 and 28 GHz

Microstrip patch antennas have been widely investigated and used in modern mobile communication technologies including 5G. Previous works in the area demonstrated that such antennas can be designed to operate in the low, mid, and high bands of 5G networks. This paper focuses on high-band millimeter-wave 5G mobile applications. In particular, the proposed microstrip patch antenna was designed to operate at 26 and 28GHz, which are the first introduced and widely used frequency bands of the 5G. This study aims to enhance the gain and other radiation characteristics of the antenna by adding a combination of different slot shapes to a single rectangular patch that is commonly used in other 5G antennas. The results show that an extremely high gain is achieved by inserting two symmetric L-slots and a middle-placed square slot. The dimensions of the slots were simulated and optimized using the CST Studio Suite simulator. A comparative study was also conducted showing that the proposed antenna features higher gain and directivity and provides very good VSWR and efficiency along with a reasonably large enough bandwidth at the two resonance frequencies considered.
Advanced Anisotropic Damage Model Fully Coupled with Anisotropic Plasticity

In this work, a thermodynamically-consistent framework is used to formulate a non-associative finite strain anisotropic elastoplastic model fully coupled with anisotropic ductile damage. The finite strain assumption is considered using specific large strains kinematics based on multiplicative decomposition of the total transformation gradient and assuming a small elastic strains. The objectivity principle fulfillment is assumed using the well-known rotating frame formulation. The effective variables are defined to introduce the effect of the anisotropic damage on the other variables through the total energy equivalence assumption. The non-associative plasticity framework, for which equivalent stresses in yield function and in plastic potential are separately defined, allows better plastic anisotropy description. The evolution equations for overall dissipative phenomena are deduced from the generalized normality rule applied to the plastic potential while the consistency condition is still applied to the yield function. Applications are made to an RVE with generic material parameters by considering non-proportional loading paths. For each loading path the effect of the anisotropic plasticity on the damage evolution is studied in the context of finite strains.
Analisis Keefektifan Pembelajaran Sebelum dan Selama Pandemi terhadap Hasil Belajar Kognitif Siswa pada Materi Pengukuran

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Abstract This research is intended to get information about learning effectiveness before and during the pandemic of Covid-19 to student’s learning outcomes. This research used ex post facto method. Samples of this research were 196 learners of grade VII Frateran Ndao Junior High School, 98 learners were taken from grade VII in the odd semester of the 2019/2020 school year and 98 learners were taken from grade VII in the odd semester of the 2020/2021 school year. This research used simple random sampling as sampling technique. These research data were taken after the learning process given to sample by interviewing teacher and the learners and collecting learners’ test scores. Data were analyzed using the Independent Ttest. The result of this research indicates the significant value as 0.067. This means that there was no significant difference between students' cognitive learning outcomes before and during the pandemic. Learning outcomes of students that taught online during pandemic is slightly higher than the outcomes of students who taught face-to-face before pandemic. This happened because the characteristics of online learning allowed learners to study anytime and anywhere. Online learning sets a huge space and time for learners to improve their knowledge.
JMD-07-2020-0216_proof 324..338

Purpose – This study investigates the relationship between passive leadership and deviant behaviors targeted to supervisors (supervisor-directed deviance) and coworkers (interpersonal deviance), and the moderating effect power distance and collectivism have on these relationships. Design/methodology/approach – This study uses a survey questionnaire. Respondents were 310 nonmanagerial employees working in various industries in Surabaya, Indonesia. This study uses partial least squares structural equation modeling (PLS-SEM) to examine hypotheses. Findings – This study indicates that passive leadership has a positive relationship with supervisor-directed deviance, but not with interpersonal deviance. Moreover, power distance moderates these relationships. Additionally, the findings show that collectivism moderates the relationship between passive leadership and interpersonal deviance, but not with supervisor-directed deviance. Practical implications –Managers need to be aware of the roles and responsibilities of their positions and understand their subordinates’ expectations, specifically related to their cultural values. Originality/value – Few studies have investigated the relationship between passive leadership and deviant behaviors, especially those directed at supervisors and coworkers. Also, there is little study that explored the role of cultural values in these relationships. The present study provides new insight regarding themoderating role power distance and collectivism have in the relationship between passive leadership and deviant behaviors.
Studying the Effect of Synthesized Nano-Titanium Dioxide via Two Phases on the Pseudomonas Aeruginosa and Portus Bacteria as Antimicrobial Agents

The Titanium dioxide (TiO2) Nano-particles (NPs) is synthesized via the Sol -gel method by using titanium tetrachloride (TiCl4) as a starting material while varying the applied temperature in the range of (400-900)oC. The main features of the synthesized NPs have been examined by using X ray diffraction (XRD), Field Emission Electrons Microscopy FESEM and Transmission Electron Microscopy (TEM). The main test of TiO2 NPs was carried out as an antimicrobial and antibacterial agent utilizing four types of bacteria strains (Pseudomonas aeruginosa) and Portus. Results of XRD show that the Titanium dioxide structure demonstrate an Anatase phase at (400 and 450)oC as well as the rutile phase at 900oC. The size of particles is found to be in the range of (15-20) nm for Anatase and for the rutile is in the range of (40-60) nm. FESEM results show the form was crystalline and appeared in the form of cauliflower or clusters for Nanoparticles. The antimicrobial agents can be utilized by the two phases of TiO2 for two types of bacteria (Pseudomonas aeruginosa) and Portus. The obtained results demonstrate that TiO2 in anatase or rutile phases is effective as anti-bacterial agents. Keyword: Tio2 Nanoparticles , Ticl4 Precursor, Sol-Gel Process , Tio2 Phases, Antibacterial activity, Antimicrobial Agents.
POMDPy: An Extensible Framework for Implementing Partially-Observable Markov Decision Processes in Python

—As of late, there has been a surge of interest in ﬁnding solutions to complex problems pertaining to planning and control under uncertainty. A popular way to approach this task is to formulate the problem at hand as a partially-observable Markov decision process (POMDP). Indeed, a plethora of research has been dedicated towards ﬁnding ways to circumvent the curse of dimensionality and curse of history that plagued early approaches to solving POMDPs. The purpose behind creating POMDPy has been to develop an easy-to-use, open-source software framework that will allow researchers to benchmark state-of-the-art solvers on custom problems and to add their own innovative solutions to a growing collection. This work has also been motivated by the desire to see these algorithms integrated into systems that solve real-world problems. POMDPy’s default solver uses Monte-Carlo Tree-Search to help it scale to high-dimensional problems. We chose to use Python to develop POMDPy due to Python’s rapidly-growing popularity in the scientiﬁc community, easy-to-read syntax, portability, and the abundance of useful numerical libraries. Python also allows POMDPy to interface easily with many different technologies, including ROS and Tensorﬂow. Source code for POMDPy can be found at http: //pemami4911.github. io/POMDPy/
Explanation as Question Answering based on User Guides

Explanation of an AI agent requires knowledge of its design and operation. An open question is how to identify, access and use this design knowledge for generating explanations. Many AI agents used in practice, such as intelligent tutoring systems fielded in educational contexts, typically come with a User Guide that explains what the agent does, how it works and how to use the agent. However, few humans actually read the User Guide in detail. Instead, most users seek answers to their questions on demand. This chapter describes a question-answering agent (AskJill) that uses the User Guide for an AI-based interactive learning environment (VERA) to automatically answer user’s questions and thereby explains VERA’s domain, functioning, and operation. This chapter also presents a preliminary assessment of AskJill in VERA.
MEASUREMENT METHOD BEST CORRELATES WITH BODY

The body mass index (BMI) had been the most measured to characterize body composition in an individuals. However, BMI has been criticized as being an inaccurate measured of body fatness among active individuals. Therefore, the aim of this study was to identify the relationship between BMI and waist to hip ratio (WHR), percentage body fat (PBF) and visceral fat (VF) among active individuals. The design used in this study was descriptive correlation design. Subjects (n = 242) were students from Faculty of Sports Science and Recreation, UiTM Shah Alam. BMI, WHR, PBF and VF measurements was using Bio Impedance Analysis (BIA). There was a positive relationship between BMI and WHR, PBF and VF. Results showed high relationship between BMI and WHR (r = 0.615, p = 0.000). Whereas, moderate relationship between BMI and PBF (r = 0.421, p = 0.000). Besides, there was high relationship between BMI and VF (r = 0.529, p = 0.000). Based on results, BMI was moderate to high relationship between WHR, PBF and VF. Therefore, BMI can be considered accurate and appropriate measurement to determine body fatness among active individuals. Keyword: Body Mass Index (BMI), WHR, PBF, VF Malaysian Journal of Sport Science and Recreation Vol.16. No 2, 159 – 170, 2020
Multi-factor Stock Selection Model Based on Machine Learning

—On the basis of the analysis of CSI-300 stock, two multi-factor stock picking strategies based on multi-classiﬁcation logistic regression algorithm and multi-classiﬁcation XGBoost algorithm are compared with an equal-weighted linear multi-factor stock picking strategy. To control the risk of stock selection strategy and keep the maximum retracement within 10%, a risk model is established in this paper. Moreover, the analysis theory and numerical experiments are reported on the feasibility and efﬁciency of this two proposed algorithms. The results show that the multi-factor stock selection model based on multi-classiﬁcation logistic regression algorithm has good earnings prediction and proﬁtability. It has the highest annual sharpe ratio.
Research on the Applications of Physically Unclonable Functions within the Internet of Things

The Internet of Things (IoT) is a technology in which everyday objects are interconnected via the internet in order to send and receive data [1]. The IoT experiences rapid growth, with an estimate of about 20.4 billion IoT devices expected to be in operation by 2020 [2]. As with all interconnected applications, the IoT is in the need of security, which can be a challenge to implement, as embedded devices in this domain are commonly resource-constrained and aimed at large-scale deployment, while keeping cost as low as possible. Within this document we aim to provide an overview of research conducted on the applications of hardware intrinsic security anchors, called Physically Unclonable Functions (PUFs) that can potentially facilitate the implementation of security within the IoT domain. PUFs are a security primitive that exploits small-scale physical variations in objects that occur during the production process. A basic assumption of PUFs is that these variations cannot, within reasonable effort, be reproduced, and are thus not under the control of the manufacturer, hence the term unclonable [3]. Several types of PUFs exist and the kind that will be subsequently referred to are intrinsic PUFs, which are PUFs that are embedded on an integrated circuit (IC) [3]. The basic operation of PUFs can be formalized by a challenge-response behavior. When a challenge C is applied to a PUF, the same yields a desirably random response R. For this reason, every PUF possesses a set of challengeresponse pairs (CRPs), each of which maps a challenge C to a response R, by a PUF P, s.t. P(C) = R.
A COMPARATIVE EVALUATION OF REMINERALIZATION POTENTIAL OF NANO-SEASHELL, NANO-PEARL, AND NANO-HYDROXYAPATITE PASTES VERSUS FLUORIDE-BASED TOOTHPASTE ON NON-CAVITATED INITIAL ENAMEL LESION: AN IN VITRO STUDY

Abstract Aim: This in vitro study evaluated and compared the remineralization potential of nano-seashell paste, nano-pearl paste, and nano-hydroxyapatite (nHA) paste versus fluoridebased toothpaste by assessing enamel surface microhardness and laser fluorescence analysis (DIAGNOdent). Aim: This in vitro study evaluated and compared the remineralization potential of nano-seashell paste, nano-pearl paste, and nano-hydroxyapatite (nHA) paste versus fluoridebased toothpaste by assessing enamel surface microhardness and laser fluorescence analysis (DIAGNOdent). Materials and methods: Eighty premolars were used in this in vitro study. Premolars were distributed into 4 groups of 20 teeth each, according to the remineralizing agent used. Group A (n=20): teeth were treated with nano-seashell paste; Group B (n=20): teeth were treated with nano pearl paste; Group C (n=20): teeth were treated with nHA paste; Group D (n=20): teeth were treated with fluoride-based toothpaste as a positive control group. Ten teeth of each group were subjected to microhardness assessment at baseline, after demineralization for 72 hours and after 28 days of remineralization with different remineralizing materials to compare its effect on enamel surface microhardness. The rest 10 teeth of each group were assessed using the DIAGNOdent pen® pen at baseline, after demineralization, after 14 days, and after 28 days of remineralization with different materials. The data were statistically analyzed. Results: After 28 days of remineralization, all groups showed increase in enamel surface microhardness. The highest mean percent increase of enamel microhardness was recorded in group D (458.59), followed by group B (405.97), then group A (286), with the least value recorded in group C (207.8). After 14 days remineralization, intergroup comparison of DIAGNOdent readings showed a percent decrease of laser fluorescence with no significant difference between groups. After 28 days remineralization, the greatest mean percent decrease was recorded in group A, followed by group D, then group C, with the least percent decrease recorded in group B. Conclusion: Nano-seashell, nano-pearl, nHA pastes were demonstrated to own remineralization potential comparable with fluoride-based toothpaste on initial non-cavited enamel lesions in an effective noninvasive manner.
Integer programs for a simultaneous vehicle routing and crew scheduling problem

In this work, we present two IP formulations for a simultaneous vehicle routing and crew scheduling problem, involving pickupand-delivery requests with multiple time windows. Crews are composed of 1 or 2 drivers and any of them can descend in specific locations to rest or change trucks, which offers more planning options but creates a high interdependence. We perform tests on instances of up to 8 requests and a planning horizon of 1 week, obtaining that one of the formulations outperforms the other. These results are improved when a heuristic that provides an initial solution is used.