Miracle-dz/UniFAR-FTUs huggingface dataset:
User-Centered Design Method in the Analysis of User Interface Design of the Department of Informatics System’s Website

The user interface is a fundamental aspect of building a website. A proper analysis of user the interface design system will have a profound impact on the actual use of a website. Many cases of website building result in minimal usability and low traffic. The purpose of this study is to analyze the user interface design of the Department of Informatics System’s website. The website mainly serves as an information portal for students in the department. It also provides features that students can access to assist them in either academic or nonacademic activities and improve the general effectiveness and quality of the department. User-centered design (UCD) method is used as the basis of the present analysis. At UCD, the process of user interface design engages the users to provide feedback or evaluation via a questionnaire for improving a website’s interface, accessibility, and usefulness. The analysis on the Department of Informatics System’s website shows that its interface design and usability have generally been satisfactory despite several shortcomings, which need quality improvement and further development Keywords: user interface, UCD, website
PageRank-Based Multi-Hop Computation Offloading in D2D Networks

In a D2D network, the tasks of a user device (UD) can be offloaded to other UDs to improve the UD’s performance. We propose a novel computation offloading scheme to efficiently alleviate the delay of task processing and the energy consumption of UDs. Inspired by PageRank algorithm, the strategies of computation offloading for UDs are determined by their steady ranking values, which reflect the overall influence of UDs’ performance in the network. Firstly, we model the network as a directed weighted graph, where the weight of each vertex is obtained by integrating the computing ability, battery energy, and available storage capacity of the corresponding UD, and the weight of each directed edge is obtained by integrating the data rates and potential interference of the D2D connection between the corresponding two UDs. Secondly, a power iteration algorithm, which satisfies Markov convergence, is designed to compute the steady ranking values of UDs. Finally, we design an algorithm to obtain one-hop strategies and multi-hop routing strategies for computation offloading among UDs. The superiority of our scheme is demonstrated in simulations and by comparisons.
Preparation, thermal properties, and Tg increase mechanism of poly(acetoxystyrene-co-octavinyl-polyhedral oligomeric silsesquioxane) hybrid nanocomposites

A series of poly(acetoxystyrene-co-octavinyl-polyhedral oligomeric silsesquioxane) (PAS−POSS) hybrid nanocomposites were synthesized by free radical polymerization and characterized by FTIR, 1H NMR, GPC, DSC, and TGA technologies. The POSS contents in these nanocomposites were calculated on the basis of FTIR data. The results show that POSS content can be controlled by varying the POSS feed ratios. DSC and TGA measurements reveal that the incorporation of POSS into polymers can improve the thermal properties of polymeric materials. The FTIR spectra were employed to explain the Tg improvement mechanism. POSS moieties influence the Tg of nanocomposite in two ways. At relatively low POSS contents, POSS plays a role of inert diluent to reduce Tg. With the increase of POSS contents, both the aggregation of POSS nanoparticles and the dipole−dipole interaction between POSS and PAS molecules contribute to the increase of Tg.
Possible Origin of the Gamma-ray Discrepancy in the Summation Calculations of Fission Product Decay Heat

In order to identify the origin of the ubiquitous and long-standing discrepancy seen in the γ-ray component of the FP decay heat in the cooling time range 300-3,000 s, a comprehensive analysis of the differences between the summation calculations and the experiments has been carried out. There may be some missing of the β-strength in the high energy region of the FPs in the mass region A=100-110. Especially, 102Tc, 104Tc, 105Tc and 108Rh are potentially responsible for the γ-ray discrepancy seen in the three major fissioning nuclides, 235U, 238U and 239Pu, systematically. The β-strength functions are theoretically calculated in order to validate this possibility. It is proved that the chance for finding the additional β-strength required to solve the discrepancy is not so large but still exists, and the exact β-feed from Tc to the highly excited levels in Rb should be identified experimentally. Finally, the impact of the β-ray discrepancy on the reactor-core decay heat is evaluated quantitatively for the .
Additional volatile constituents of carambola (Averrhoa carambola L.) fruit

The volatiles of fresh carambola (Averrhoa carambola L.) were separated from the fruit pulp by high-vacuum distillation and subsequent solvent extraction (pentane-dichloromethane, 2:1). In three fractions obtained by preseparation of the concentrated extract with adsorption chromatography on silica gel (pentane-diethyl ether gradient) the volatiles were analysed by capillary gas chromatography (HRGC) and combined capillary gas chromatography-mass spectrometry (HRGC-MS) as well as combined capillary gas chromatography-FTIR spectroscopy (HRGC-FTIR). Direct pentane-dichloromethane extraction with subsequent liquid-liquid distribution and diazomethane derivatization was used for separation of the volatile acids. In total, 126 aroma compounds were identified, of which 76 are reported for the first time as constituents of carambola fruit pulp. The major part of volatiles comprised esters and carbonyl compounds. Quantitative HRGC revealed (E)-hex-2-enal (2.4 mg/kg) and methyl benzoate (1.9 mg/kg) as major aroma compounds.
Solid phase microextraction/gas chromatographic and olfactory analysis of the scent and ﬁxative properties of the essential oil of Rosa damascena L. from China

The composition of the essential oil and the SPME-headspace volatiles of Rosa damascena L. (Rosaceae) from China were investigated by gas chromatographic–spectroscopic (GC–FID and GC–MS) and olfactoric methods to identify those compounds responsible for the characteristic, pleasant ﬂoral odour of these valuable, high-priced ﬂower oils. Monoterpenes especially were found to be fragrance target compounds, while additionally some aliphatic hydrocarbons will have ﬁxative effects and therefore are responsible for a longer-lasting odour impression (tested by olfactory evaluation after application to human skin) of this rose oil. The main compounds [concentration higher than 3.0%; calculated as %-peak area of GC–FID analyses using a polar (carbowax) column] of the 71 totally identiﬁed constituents of the two rose samples are as follows: Chinese rose oil: citronellol (30.71%), nonadecane (16.95%), geraniol (16.11%), nerol (7.57%), heneicosane (7.04%) and 9-eicosene (4.71%); and SPME-headspace of the Chinese rose oil: citronellol (37.05%), geraniol (18.62%), nerol (9.91%) and methyl eugenol (3.56%). A correlation of the identiﬁed constituents of the two rose oil samples with their single odour impressions is also given and the signiﬁcant change of the composition of the SPME-headspace samples after rose oil application on human skin discussed. Copyright © 2004 John Wiley & Sons, Ltd.
A General Mutual Coupling Model of MIMO Capacitive Coupling Interface With Arbitrary Number of Ports

A general mutual coupling model of multiple input and/or multiple output (MIMO) capacitive coupling interface with an arbitrary number of ports is proposed. In the model proposed in this letter, all the capacitances between the metal plates are taken into account. The self-capacitance of each port and mutual capacitances between the two ports are defined, and a simple equivalent circuit composed of self capacitances and current-controlled voltage sources is obtained. The proposed model helps to reduce the complexity of the MIMO capacitive coupling interface and can be used to simplify the analysis of the power transfer performance of MIMO capacitive power transfer systems. An example capacitive coupling interface setup with two input ports and two output ports is built and tested. The measured and model-based theoretical results of the self and mutual capacitances of the capacitive coupling interface are compared and found to be in good consistency, which verifies the correctness of the proposed model.
Integrating Literacy into STEM Education: Changing Teachers’ Dispositions and Classroom Practice

In this paper, the results of a study of teachers’ dispositions and classroom practices regarding literacy integration into STEM courses are presented. The Connection Core Concepts (CCI) program, developed through Mathematics and Science Partnership (MSP) grant funds, was designed to support the integration of content across subject areas. Literacy is one of the emphases in Integrated STEM to enhance teacher content knowledge and increase student success. Research data were gathered from 30 teacher participants from Grades 5–8 through surveys, observations and interviews. The results indicated that there were positive changes in teacher perceptions as well as classroom practices in regard to integrating literacy into STEM.
Emotion-Aware and Intelligent Internet of Medical Things Toward Emotion Recognition During COVID-19 Pandemic

The Internet of Medical Things (IoMT) is a brand new technology of combining medical devices and other wireless devices to access to the healthcare management systems. This article has sought the possibilities of aiding the current Corona Virus Disease 2019 (COVID-19) pandemic by implementing machine learning algorithms while offering emotional treatment suggestion to the doctors and patients. The cognitive model with respect to IoMT is best suited to this pandemic as every person is to be connected and monitored through a cognitive network. However, this COVID-19 pandemic still remain some challenges about emotional solicitude for infants and young children, elderly, and mentally ill persons during pandemic. Confronting these challenges, this article proposes an emotion-aware and intelligent IoMT system, which contains information sharing, information supervision, patients tracking, data gathering and analysis, healthcare, etc. Intelligent IoMT devices are connected to collect multimodal data of patients in a surveillance environments. The latest data and inputs from official websites and reports are tested for further investigation and analysis of the emotion analysis. The proposed novel IoMT platform enables remote health monitoring and decision-making about the emotion, therefore greatly contribute convenient and continuous emotion-aware healthcare services during COVID-19 pandemic. Experimental results on some emotion data indicate that the proposed framework achieves significant advantage when compared with the some mainstream models. The proposed cognition-based dynamic technology is an effective solution way for accommodating a big number of devices and this COVID-19 pandemic application. The controversy and future development trend are also discussed.
Mechanism of poly(p-phenylene sulfide) growth from p-dichlorobenzene and sodium sulfide

The chemistry of poly(p-phenylene sulfide) (PPS) growth from Na 2 S and p-dichlorobenzene in NMP is dominated by the ionic S N Ar mechanism. Consistent with this mechanism are model reactions that obey discrete second-order reaction kinetics in both independent and competition experiments. Reaction rates are as well affected by substituents in a fashion predicted by the S N Ar mechanism. Diagnostic reactions to probe radical mechanisms provide no evidence for radical intermediates with the possible exception of certain anomalous side reactions
Survey on Foraging Behavior Algorithms

This paper presents a study of research activities inspired by the foraging behavior of animals. Foraging behavior algorithms are computational models that simulate the behavior of organisms searching for food resources in their environment. Foraging behavior algorithms has made the researcher's to actively do research over few years due to their potential applications in fields such as robotics, optimization, and AI. This survey paper provides an overview in foraging behavior algorithms. It begins by defining the concept of foraging behavior and exploring its importance in the natural world. The paper then reviews different types of foraging behavior algorithms, consisting of ant colony optimization, particle swarm optimization. The paper also discusses various applications of foraging behavior algorithms in fields such as wireless sensor networks, and search and rescue operations. Furthermore, the survey paper examines some of the challenges and limitations of foraging behavior algorithms and provides suggestions for future research directions. Overall, this survey paper highlights the potential of foraging behavior algorithms to improve the efficiency and effectiveness of various computational systems and emphasizes the need for further research in this field to address some of the remaining challenges Additional Keywords and Phrases: Metaheuristic, Optimization, nature inspiration, foraging behavior, ABC, BCO, HBA.
Inclusion at the Workplace: An Exploratory Study of People with Disabilities in South Africa

Abstract Research on the employment experiences of persons with disabilities on a global level indicates that this group is faced with the challenge of inclusion in the workplace. While South Africa has a well-defined legislative framework that has been determined in consultation with disabled people’s organisations, compliance with legislation appears to have failed to ensure that employment targets are met. As a response to these challenges, this study explored the early inclusion experiences of persons with disabilities in the workplace via a qualitative, explorative, case study. Semi-structured interviews were conducted with 12 people with a range of different disabilities and working for different organisations, in order to provide insight into the initial experiences of inclusion for persons with disabilities in the workplace. Findings showed challenges in induction and orientation practices, struggles with disclosure of disability to coworkers, a desire to strive for ‘normality’, and frustration and vulnerability in the workplace. Taken together, the findings point to the importance of early experiences of inclusion in the workplace – that is, inclusionary practices during the employee induction phase. This study offers insights to organisations and management practitioners for the promotion of better employment experiences. Recommendations include the appointment of a disability champion to account for disability equity within the organisation, the development of more inclusive recruitment and orientation practices, drawing on coworkers for support, and the active involvement of persons with disabilities in shaping onboarding processes. Embarking on these steps may ultimately result in a more diverse workforce within South Africa.
On the use of Washburn's equation for contact angle determination

A systematic study on the possibility of Young's contact angle determination from Washburn's equation was performed using the so-called thin-layer wicking technique in which the rate of penetration of a liquid into the porous layer of a solid is measured. Commercial (Merck) SiO2 deposited on the glass plate for thin-layer chromatography was used as a model solid and n-alkanes (from pentane to hexadecane), diiodomethane, and α-bromonaphthalene were employed as the probe liquids. It was shown that the contact angle calculated from Washburn's equation was not equal to Young's contact angle of a drop of the same liquid, placed on a flat surface of the solid. Consequently, the solid surface free energy components calculated using contact angles from Washburn's equation are not the true values. However, the approach previously suggested by us has been verified again, as it gives consistent values of the surface free energy components determined from all the liquids used.
A Tree-Structured LoRa Network for Energy Efficiency

The LoRa technology is considered as one of the most potential solutions for Internet of Things (IoT) in the near future. The existing LoRa networks are based on the star topology. In this article, a tree network adopted for the LoRa technology and a communication protocol are proposed to mitigate the energy consumption constraints. In the proposed network, the nodes are self-configured based on the LoRa physical link behavior and can act as relays to propagate data from other nodes. The analysis, design, and evaluation of the proposed architecture for large scale LoRa networks are presented in detail. With analytical studies, the energy consumption of the star and tree LoRa networks are compared. The presented analytical results can provide developers with effective guidelines for scalable design and optimization of LoRa networks. Further, the results are verified using simulation and experimental tests. Both simulation and experimental results confirm that the presented method improves the energy consumption of the entire IoT network significantly. As a result, the presented tree network can be deployed in various applications.
A Deep Framework for Eddy Detection and Tracking From Satellite Sea Surface Height Data

Ocean eddies, as a ubiquitous phenomenon of the global ocean, are extremely important for ocean energy and material exchanges. Therefore, efficient eddy detection and tracking are crucial for advancing our understanding of ocean dynamics. This work presents a framework for automatic ocean eddy detection and tracking by leveraging state-of-the-art machine learning algorithms. First, we propose a new convolutional neural network model for multieddies detection. This model is capable of extracting accurate boundary information of eddies and fitting the gap between semantic context and sea surface height (SSH). Second, a tracking algorithm is designed to track eddies lasting a number of days and provide visualization of the dynamical processes governing eddies’ movements. Finally, we have made our data set publicly available, which is named SCSE-Eddy and can be used as a benchmark to evaluate the performances of artificial intelligence (AI)-based eddy detection methods. The data set covers daily remotely sensed SSH data located in the South China Sea and its eastern sea areas over a period of 15 years. The experimental results show that our methods achieve promising performances compared to existing approaches, especially for the eddies with indistinct geographical border. We believe that this work opens a new avenue for oceanographers to better discover and understand the physical properties of ocean eddies.
The COVID-19 Pandemic and the Antecedants for the Impulse Buying Behavior of US Citizens

In an analysis based on the theory of Fear, this study examines impulse purchase patterns during the COVID-19 Pandemic across major US urban centers. Data from 889 US consumers were collected from leading US cities to evaluate impulse buying behavior fluctuations using SEM-based multivariate approaches to examine the survey statistics. We used COVID-19 as a moderating variable of this impulse purchase behavior. The results confirmed that Fear of a complete lockdown, peers buying, scarcity of essential products on shelves, US stimulus checks, the limited supply of essential goods, and panic buying have had a compelling and affirmative influence on the sharp swings of impulse buying patterns. The findings further confirm that Fear Appeal and social media fake news have had a strong positive impact on impulse buying as mediating factors. Finally, it was concluded that COVID-19 is a significant moderating factor influencing the impulse buying behavior of US citizens. The practical implications suggest that marketers and brand managers should devise novel strategies to enhance their brand’s market share to attain a competitive advantage in COVID-19 or similar panic situations in the future. These research findings are essential to comprehend the sharp fluctuations of impulse buying patterns in the current cutthroat competition environment across the US and other parts of the world.
Sound velocity and the equation of state of N2 to 22 kbar

The velocity of sound and the relative volume of N2 were measured simultaneously in a piston–cylinder apparatus along five isotherms from 247 to 321 K at pressures up to 22 kbar. The data were combined to yield a consistent equation of state from which accurate thermodynamic variables can be derived.
El tablero de control aplicado a la gestión del capital intelectual de las universidades

espanolEl presente trabajo tiene como objetivo disenar un tablero de control para gestionar eficientemente los elementos del capital intelectual de la Facultad de Ciencias Economicas de la Universidad Nacional de Rio Cuarto. Para ello se partio de un estudio descriptivo sustentado en un modelo disenado para la identificacion y valoracion del capital intelectual en el ambito universitario, estructurado en componentes, variables, indicadores, criterios de medidas y herramientas de medicion. Para la construccion del tablero se decidio utilizar semaforos. La construccion de un semaforo tiene la ventaja de la «condicion visual», lo que implica que de una sola mirada se puede visualizar la situacion general en que se encuentran los indicadores. Siendo Microsoft Excel una de las aplicaciones mas comunes se elabora el semaforo utilizando esta herramienta. Los resultados son el analisis y el control en forma periodica de los indicadores que presentan debilidades con posibilidad de ser potenciados a traves de su gestion, para lograr una mayor eficiencia y el logro de beneficios futuros, como asi tambien de aquellos indicadores generadores de valor para la institucion de manera tal de desarrollar ventajas competitivas para lograr la diferenciacion de la Facultad de Ciencias Economicas de la Universidad Nacional de Rio Cuarto. EnglishThis paper purpose is to design a control board for an efficient management of the intellectual capital of the economics Sciences faculty, in rio Cuartoʼs national University. for this, a descriptive study based on a model designed for the identification and valuation of the intellectual capital in the university environment was used as starting point. The study was structured in components, variables, indicators, measurement guidelines and measurement tools. Traffic lights were used for the construction of the board because of their «visual condition», meaning that, through them, it is possible to visualize the current general situation of the indicators with only one look. The traffic light was made with microsoft excel. The results are the analysis and control, periodically, of the indicators that present weaknesses with the possibility of being boosted through their management, aiming more efficiency and future benefits, as well as those indicators producers of value for the institution, in a way to develop competitive advantages to achieve the differentiation of the economics Sciences faculty of the rio Cuartoʼs national University
Zur Biogenese der Betacyane: Versuche mit [2-14C]-Dopaxanthin†

On the biogenesis of betacyanins. Expaiments with [2-14C]-dopaxanthine Labelled dopaxanthine is prepared from betanin by a double exchange procedure replacing first its cyclodopa part by diethylamine and effecting the second exchange with 2-[14C]-dopa on the purified intermediate ‘DEA-betalain’; the specific activity delivered with the dopa allowed accurate determination of ϵ in the electronic spectrum of dopaxanthine (λmax 488 nm, ϵ = 41.800). The C(2)-labelled dopaxanthine is incubated into the fruits of Opuntia bergeriana. The incorporation rates into betanin are found to correspond approximately to those obtained in earlier experiments with labelled dopa alone: Only 1--5% of the label showed up in the cyclodopa moiety of the betanin (which is isolated as cyclodopa-glucoside) whereas 99--95% of the radioactivity was associated with the betalamic acid part (recovered in form of indicaxanthine).