Miracle-dz/UniFAR-FTUs huggingface dataset:
STUDYING DESIGN ATTRIBUTES OF VIRTUAL CHARACTERS TO SUPPORT STUDENTS' PERCEIVED EXPERIENCES IN VIRTUAL REALITY LECTURES

Virtual reality recently expanded to collaborative and social networking environments where users interact with virtual characters (VCs) of various appearances and behaviors, often impacting the quality of experience. In this paper, we present preliminary survey results of perceptions about characteristics of VCs and a user study of a VR lecture app with different styles of virtual instructors. VCs were collected from existing collaborative and social VR applications and categorized by body types and design style. Survey results coupled with prior works guided the development of design styles, which we briefly present. In the user study, 12 users experienced two different VR lectures with randomly assigned character styles. Results show participants found the stylized VC familiar and human while the realistic VC was engaging and trustworthy. Results also show feelings of learning more about the lecture topic with the stylized VC.
Data Mining Algorithms in Knowledge Management for Predicting Diabetes After Pregnancy by Using R

Data mining is considered one of the important phenomena in Knowledge Discovery in Database (KDD) process. In healthcare sector ample amount of data are available which is very essential to convert these data into useful and valuable. In this context data mining classifier algorithms play an important role to discover knowledge from big data.The objective of the present study is tocompare accuracy, sensitivity, specificity, and receiver operating characteristics of five classifier algorithms like Linear Discriminant Analysis (LDA), k-Nearest Neighbour (kNN), Support Vector Machine (SVM), Random Forest (RF), and Adaboostto predict diabetes.R is used to process data analysis. The SVM was recorded the best classifier with the accuracy of 0.7386, sensitivity0.8300 and specificity 0.5660, followed by LDA algorithm with accuracy of 0.732, sensitivity 0.8800 and specificity 0.4528 to predict diabetes.
Behaviour of concrete structures under fire - a comparative study between IS 456: 2000 and finite element software ANSYS

Unwanted fire has become one of the greatest threats to buildings. Concrete has very good behavior under fire due to its low thermal conductivity and non-combustibility. Concrete act as a protective cover to steel reinforcement and thus reinforced cement concrete shows good behavior under fire. However, there is a major problem caused by elevated temperatures that is the break of concrete masses from the surface of the concrete element "spalling phenomenon". A finite element approach in ANSYS software, for tracing the behavior of reinforced concrete elements exposed to fire is presented. Design charts for various structural elements have been developed.
Heavy ion microscopy of single event upsets in CMOS SRAMs

The single event upset (SEU) imaging has been applied at the GSI heavy ion microprobe to determine the sensitivity of integrated circuits (IC) to heavy ion irradiation. This method offers the possibility to directly image those parts of an IC which are sensitive to ion-induced malfunctions. By a 3-dimensional simulation of charge collection across p-n-micro-junctions, we can predict SEU cross-sections. For a MHS65162 2k x 8bit CMOS SRAM we found two regions per bit with different sensitivity and measured a total cross-section of (71/spl plusmn/18) /spl mu/m/sup 2/ for a bitflip per cell and simulated 60 /spl mu/m/sup 2/ with an argon beam of 1.4 MeV/nucl. (LET of 19.7 MeV/(mg/cm/sup 2/)). >
A STUDY ON THE AERODYNAMIC DRAG REDUCTION OF HIGH-SPEED TRAIN USING BOGIE SIDE FAIRING

The aerodynamic drag of high-speed train has been calculated and the effect of bogie side fairing on the aerodynamic drag has been investigated. Computational Fluid Dynamics (CFD) simulation based on steady-state 3 dimensional Navier-Stokes equation has been conducted employing FLUENT 12 and the aerodynamic model of HEMU-430x, the Korean next generation high-speed train under development has been built using GAMBIT 2.4. 6. Three types of bogie side fairing configuration, the proto-type without fairing, half-covered fairing to avoid the interference with the bogie frame and full-covered fairing have been adopted to the train model to compare the drag reduction effects of the bogie side fairing configurations and the numerical results yields that the bogie side fairing can reduce the aerodynamic drag of the 6-car trainset up to 7.8%. The aerodynamic drag coefficient of each vehicle as well as the flow structures around the bogie system have also been examined to analyze the reason and mechanism of the drag reduction by bogie side fairing.
Teachers’ Perceptions about Mathematics in a Socio-Religious Context: A Case from Pakistan

This study investigated mathematics teachers’ beliefs about the nature of mathematics and the contributory factors shaping them. A survey of 200 trained and untrained mathematics teachers from public and private schools was carried out in Karachi Pakistan, a context with a strong influence of religion on the socio-cultural practices of the people. The survey was followed by a focus-group discussion with selected teachers and is the focus of this paper. This is a ground-breaking study in a hitherto under-researched socio-religious context. Teachers across the system showed a strong similarity in beliefs. A commonly held view was that mathematics is created by Allah and mathematicians have worked with this knowledge to invent practical applications in service of religion. Teachers’ experiences of learning mathematics and their deep-rooted religious beliefs shaped their views of mathematics. The study highlights the sensitive and resilient nature of teachers’ beliefs and the significance of taking them into account in reforming teacher education policy and practice.
Puree and Juice of Thai Mango and Pineapple Analyzed by High-Performance Thin-Layer Chromatography Hyphenated with Effect-Directed Assays

The requirements for analytical tools are changing due to the global production chain, the increasing cases of adulteration, and the growing trend towards consumption of plant-based food products worldwide. The assessment of bioactivity of natural foods is currently not a quality criterion, and a paradigm shift is postulated. A non-targeted effect-directed profiling by high-performance thin-layer chromatography hyphenated with five different effect-directed assays was developed exemplarily for the puree and juice products of mango Mangifera indica L. (Anacardiaceae) and pineapple Ananas comosus (L.) Merr. (Bromeliaceae). Several bioactive compounds were detected in each sample. The additional bioactivity information obtained through effect-directed profiles improves, expands and modernizes product control. Non-target effect-directed profiling adds a new perspective to previous target analysis results that can be used not only to ensure health claims based on bioactive compounds, but also to detect unknown bioactive compounds coming from contamination or residues or changes caused by food processing.
A novel differential bandpass filter based on double‐sided parallel‐strip line dual‐mode resonator

A differential bandpass filter based on double‐sided parallel‐strip line (DSPSL) dual‐mode resonator is proposed in this article. This differential bandpass filter makes use of the inherent differential feature of DSPSL to construct feeding ports and resonating unit. This filter has the advantages of low‐profile structure, low‐insertion loss for differential‐mode signal, and high suppression for common‐mode signal. © 2008 Wiley Periodicals, Inc. Microwave Opt Technol Lett 50: 1733–1735, 2008; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.23493
Precipitation–temperature relationships over Europe in CORDEX regional climate models

We studied spatial and temporal patterns of precipitation–temperature (P–T) relationships through correlations between monthly standardized precipitation index (SPI) and monthly temperature anomalies in individual climatic seasons over Europe. In the observed data (represented by E‐OBS), positive correlations (wet–warm/dry–cold relationships) prevail during winter over most of Europe, while negative values (dry–warm/wet–cold) are dominant in summer. In the next step, an ensemble of seven regional climate models (RCMs) from the CORDEX project driven by the ERA‐Interim reanalysis were examined as to their reproduction of the regional patterns of the P–T correlations. In winter, the RCMs yielded overly strong positive P–T correlations over northern Europe, while the correlations were too weak in the south compared to observed data. During summer, the biases were generally larger; the RCMs were able to capture the overall negative P–T correlations but these tended to be too weak over northern Europe. This deficiency was found to be linked to simulated differences in shortwave radiation (a proxy for cloud cover) between dry and wet months. In western, central, and southeastern Europe, by contrast, most RCMs yielded too strong negative correlations in summer, and overly large decreases of relative humidity during dry months probably contributed to these errors. The results pointed up issues that should be addressed as the reported RCMs' deficiencies may lower credibility of projected compound dry–hot events in climate change scenarios.
Predicting the Performance of Uncertain Multi-Agent Systems Using Event-Triggering and L 1 Adaptation

This paper studies the impact of communication constraints and uncertainties on the performance of multi-agent systems, while closing the local loops with embedded L1 adaptive controllers. We propose a communication and adaptation co-design scheme to guarantee the predictability of the system performance. Under this scheme, an agent locally determines its broadcast time instants using distributed event-triggering. The embedded L1 adaptive controller enables each agent to compensate for the local uncertainties and disturbances. We derive performance bounds on the difference between the signals of the ideal model (in the absence of uncertainties and perfect communication) and the real system operating with the proposed co-design scheme. It is shown that these bounds can be arbitrarily reduced to zero by deceasing the thresholds in the local events and increasing the local adaptation gain in each subsystem. The low-pass filter in the L1 adaptation structure ensures the robustness of the overall system. The proposed co-design scheme can help to predict the performance of multi-agent system in the presence of uncertainties. The results can be used to design guidelines in safety-critical applications, including air traffic control and collision avoidance in multi-agent systems. I. Introduction This paper examines the performance of multi-agent systems in the presence of communication constraints and modeling uncertainties. We propose a co-design scheme to guarantee the closeness between the real system and its ideal model, where distributed event-triggering is used to determine the broadcast time and embedded L1 adaptive controller is used for compensation of the uncertainties. By introducing an intermediate system (called “desired system”) as a bridge, the design of the broadcast event and the L1 controller can be decoupled. The embedded L1 adaptive controllers are designed to ensure the closeness between the real system and the desired system, and the broadcast-triggering events are designed for the closeness between the desired system and the ideal model. A multi-agent (cyber-physical) system contains a great number of agents that are geographically distributed. Each of them is controlled by embedded processors. Information is exchanged among these processors through communication networks. Control decisions are made based on this information in order to achieve certain global objectives, such as formation, 9 consensus, 19 flocking, 18 coverage maximization, 7
Effect of Public Empathy with Infection-Control Guidelines on Infection-Prevention Attitudes and Behaviors: Based on the Case of COVID-19

Since the outbreak of the novel coronavirus disease (COVID-19), the government has provided infection-control guidelines to prevent the spread of the virus. The authors of this study examined the structure (causal relationship) of factors that influence public behavior toward COVID-19 and verified the effect of public empathy with infection-control guidelines in each structure. Data were collected using a self-administered questionnaire survey from 211 Korean adults. The results showed that (1) the perceived susceptibility and severity of economic damage had a positive effect on infection-prevention attitudes and infection-prevention attitudes had a positive effect on infection-prevention behaviors; (2) the perceived severity of economic damage had a positive effect on infection-prevention attitudes; and (3) public empathy with infection-control guidelines positively moderated the effect of the perceived severity of economic damage on infection-prevention behaviors and that of perceived susceptibility on infection-prevention attitudes. Accordingly, the authors of this study present the following three suggestions to prevent the spread of an infectious disease: engage in risk communication focused on a potential virus infection and cooperation, make multifaceted efforts to increase public empathy with infection-control guidelines, and implement measures to alleviate or reduce economic damage to the public in a viral pandemic.
Global Power flow for Microgrids

The power flow is an essential tool for any study on the planning and operation of microgrids (MGs). The power flow for MG in grid-connected mode is like the power flow in distribution system. Thus, the voltage in the point of common couple can be considered constant, and the main grid can represent the MG as a load. However, the use of these representations may ignore some behaviors of the systems. This is especially true due to the renewable sources and their intermittency. In this context, this paper aims to evaluate the global power flow applied in MG, and the steady-state interaction between the MG and the MV distribution system. The CIGRE benchmark MV and LV networks are employed in this paper. The conventional Newton Raphson is employed in the MV system, and the Newton Raphson current injection is employed in the MG. Two cases are considered, one evaluates the MG connected with the MV system, and the other considers the MG with a volt-var control connected with the MV. Both cases show that the MG and the MV systems present influences in each other that may be captured by global power flow.
Dynamic changes of intestinal flora in patients with irritable bowel syndrome combined with anxiety and depression after oral administration of enterobacteria capsules

ABSTRACT This study investigated the clinical characteristics and dynamic changes of intestinal bacterial community to evaluate the curative effect of fecal microbiota transplantation (FMT) on irritable bowel syndrome with predominant diarrhea (IBS-D) comorbid with anxiety and depression. Total two treatments were designed in randomize-controlled trial includes oral FMT capsules with 1 week (A1), 8 weeks (A2), and 12 weeks (A3), as well as oral empty capsules with 1 week (B1), 8 weeks (B2), and 12 weeks (B3) as control for comparison. The positive therapeutic effects occurred in FMT colonized patient with IBS-D comorbid psychological disorder, demonstrated at alleviated IBS-D severity (IBS-SSS score from 291.11 reduced to 144.44), altered stool type (from 6 changed to 4), reduced anxiety and depression scores (from 18.33 to 8.39 and from 22.33 to 17.78) after FMT-treated 12 weeks. The FMT therapy improved bacterial alpha diversity and the majority bacterial community predominant by Bacteroidetes and Firmicutes, and the relative abundance (RA) was higher after FMT-treated 12 weeks (50.61% and 45.52%) than control (47.62% and 38.96%). In short, FMT therapy has great potential for IBS-D patients combined with anxiety and depression by alleviated clinical symptoms and restore the intestinal micro-ecology. Graphical abstract
Bifurcation Patterns of a Core-Periphery model with Multiple Industries

笠原 衣織*・赤松 隆** Iori Kasahara* and Takashi Akamatsu** The purpose of this paper is to explore bifurcation patterns of equilibrium population in a core-periphery model with multiple industries in the framework of new economic geography.We extend the Forslid and Ottaviano(2003) model with a single industry to a multi industry model in which each labor chooses both cities and industries. We reveal that specialization for industry with small σ (elasticity of substitution) occurs in the largest city and specialization for industry with large σ occurs in the other cities.
Relationship between two-level space-vector pulse-width modulation and carrier-based pulse-width modulation in the over-modulation region

For low voltage motor drive applications, in order to enhance the utilisation rate of dc bus voltage and extend the operating boundary of induction motors, the modulation index is often extended from the linear modulation region to the over-modulation region. The relationship between two-level space-vector pulse-width modulation (SVPWM) and carrier-based pulse-width modulation (CBPWM) in the linear modulation region has been widely investigated and it was shown that the conventional SVPWM is a special type of CBPWM algorithm with zero sequence components injection. On the basis of that, this study focuses on investigating their relationship in the over-modulation region. Firstly, the superposition principle is adopted to analyse the features of SVPWM algorithm in the over-modulation region. Second, the modulating functions of CBPWM equivalent to SVPWM in the over-modulation modes I and II are derived, respectively, which are on the basis of the CBPWM regular sampling rule. Theoretical analysis shows that SVPWM is a special type of CBPWM algorithm not only in the linear modulation region but also in the over-modulation region, which provides a bidirectional bridge for the transformation between SVPWM and CBPWM in the full modulation region. Finally, the validity and effectiveness of the theoretical analysis are verified by simulation and experimental results.
Methodology for mapping the probability of fire occurrence in the Brazilian cerrado biome based on the danger of fire propagation variables

The area covered by the Brazilian cerrado biome has been greatly reduced in recent years due to the expansion of agricultural land and the increased number of fire outbreaks. The objective of this paper is to propose a methodology based on geospatial analysis and logistic regression analysis (LRA) for mapping the probability of fire occurrence in Brazilian cerrado conservation units. This model was applied in the Serra da Canastra National Park (SCNP) in the Southeast of Brazil. The methodology uses the maps of the following environmental variables, which are related to the danger of fire propagation: wind effect (WIN), terrain convexity (CVX), slope (SLO), drainage density (DRD), altitude (ELV), vegetation index (NDVI), and road density (ROD). The results of the LRA showed that the variables SLO, ELV, NDVI, ROD (p<0.0001), DRD (p=0.0005) and WIN (p=0.0007) contributed significantly to the occurrence of fire outbreaks. The model correctly classified 94.26% of cases. We conclude that this methodology can be used to inform the planning of firefighting actions in the Brazilian cerrado biome.
A Study on Improvements of Children's Denim Pants Construction Method Based on Physical Characteristics and Body Areas Worn - Focusing on 4-year-old Boys -

: The goal of this study is to support the children’s pants construction methods that secure clothing size and fit appropriateness through proposed improvements of denim pants construction method focusing on 4-year-old boys. Depths interview on the actual condition, measurements and calculations for positions and ease of the clothing points cor- responding to the body points actually worn were conducted for 47 denim pants of nine boys. “Characteristics of the areas worn” and “physical characteristics of lower body” were analyzed, and improvements of 4-year-old children’s denim pants construction method were proposed. As the results, the different figures in “characteristics of the areas worn” between the existing children’s pants construction methods and children’s actual wearing habits were found, and identification of distinct children’s lower body from adults’ supports that we should avoid tracing adults’ methods without reasons. Children’s pants construction method on basis of actual wearing should be devised to solve fit problems. Improvements of children’s method were proposed such as ease of girth by different area worn, ease of “elastic waist girth”, the difference between “elastic waist girth” and “pattern waist girth”, and the difference between “pattern waist girth” and “pattern hip girth” as considerations of pants girth items, and appropriate position “clothing waist girth” “pants hip length” level, “pants crotch length” level, “clothing knee length” level, and “pants outside length” level for pattern making as con- siderations of clothing length items.
A REVIEW OF EDUCATIONAL RECOMMENDER SYSTEMS FOR TEACHERS

Recommender Systems (RS) in e-learning has attracted several researchers aiming basically at scaffolding learners in locating relevant learning resources that meet their learning needs and profiles. Whereas a number of review studies have been carried out in the area of educational recommender systems, there is a limited information in the literature review in the specific domain of recommendation systems for teachers. The objective of this work is to summarize the current research efforts in the field of teacher-oriented recommender systems. By performing this systematic review, 32 papers were selected for further analysis. The obtained results show that educational portals and repositories are widely used as learning environments where recommendations occur. The finding of this review further show that personalized recommendations for teachers and teaching practices improvements are the main issues addressed by RS for teachers. Furthermore, the hybrid approach for recommendation and the evaluation by experiment are the most used, occurring in 43,75% of the selected reviewed papers. We are availing the key findings of this work to propose a teacher recommender system that provides teachers with the most relevant open educational resources (OER) retrieved from collections of resources aligned to the UNESCO ICT Competency Framework for Teachers (CFT).
GENERATIVE ADVERSARIAL NETWORK WITH AUTOENCODER FOR CONTENT BASED IMAGE RETRIEVAL

The internet generates a huge amount of information for a query, but not all of it is useful because it contains some misinformation and some manipulated data. Content-Based Image Retrieval (CBIR) is a state-of-the-art process that is employed by major IT companies all over the world. The research is nearly complete, and they are now being utilized to break the system rather than improving or classifying the right misinformation utilizing state-of-the-art adversarial networks. The major goal of this research is to classify a given misinformation and identify all of the images that were used to create it. A simple general adversarial network (GAN) is utilized in conjunction with an autoencoder to calculate the latent vector. Using the nearest neighbor computation metric, the latent vector is then used to obtain all of the closely matching images. Using the nearest neighbor computation metric, the latent vector is then used to obtain all of the closely matching images. The proposed study has demonstrated that it can retrieve images with much less distance than the current ones and those with a single component than using both in a collaboration. The proposal can lower the same in one-third of the cases already in use.