Miracle-dz/UniFAR-FTUs huggingface dataset:
Implementation of a XFEM toolbox in Diffpack

The Diffpack Development Framework is an object-oriented software environment for the numerical solution of partial differential equations (PDEs). By its design, Diffpack intends to close the gap between black-box simulation packages and technical computing environments using interpreted computer languages. The framework provides a high degree of modeling flexibility, while still offering the computational efficiency needed for most demanding simulation problems in science and engineering. Technically speaking, Diffpack is a collection of C++ libraries with classes, functions and utility programs. The numerical functionality is embedded in an environment of software engineering tools supporting the management of Diffpack development projects. Diffpack supports a variety of numerical methods with distinct focus on the finite element method (FEM) but has no inherent restrictions on the types of PDEs and therefore applications to be solved. The key point of partition of unity enriched methods such as XFEM and GFEM is to help capture discontinuities and singularities or large gradients in solutions, which are not well resolved by h or p refinement [1]. The general idea is that the mesh need not conform to the moving boundaries so that minimal or no remeshing is required during the analysis. Our main motivation is to provide a generic implementation of enrichment within a flexible C++ environment, namely the Diffpack platform. The work was inspired by some of our earlier work [6,9] and that of other colleagues [5,7,8]. We demonstrate how object-oriented programming is particularly useful for the treatment of data structures and operations associated with XFEM : mesh-geometry interaction, non-standard integration rules, application of boundary conditions, treatment of level set data [2,6]. We detail the implementation of such features and verify and validate their implementation based on [5]. We show results based on unshifted, shifted [1] and study the behaviour of the stable generalized finite element method (SGFEM) to avoid blending effects and help control the conditioning of the system matrix [4]. For integration of elements cut by interface we use an in-house Delaunay Triangulation algorithm proposed by [3,5] and presented in detail in a companion paper.
Design of the Integration and Technical Verification and Validation Phase of the Ground Segment of the Hyperspectral Satellite Mission EnMAP

EnMAP (Environmental Mapping and Analysis Program) is a German hyperspectral satellite mission, with a ground segment operated by the Earth Observation Center (EOC) and the German Space Operation Center (GSOC) of the German Aerospace Center (DLR). The Ground Segment comprises all the facilities and systems required on Earth to control and operate the mission. It specifically facilitates access for the user segment to the space segment, including the commanding of the satellite, ordering and receiving data, and finally the processing, archiving and distribution of data. This paper gives an overview of the design of the Integration and Technical Verification and Validation (ITVV) phase of the Ground Segment. It starts with the design of the Ground Segment resulting in the development model, which consists of the requirements imposed on the Ground Segment, the spanning of the product tree with its contributing subsystems and their further differentiation, and the interfaces connecting them providing the needed functionality. This view of the Ground Segment is complemented with a model based on use cases allowing to characterize the Ground Segment by its dynamic behaviour fulfilling the above tasks. Based on the above knowledge the different stages of the ITVV Phase are presented and the dependencies between the phases are pointed out, to finally guarantee a fully validated mission.
SN 2017dio: A Type-Ic Supernova Exploding in a Hydrogen-rich Circumstellar Medium

SN 2017dio shows both spectral characteristics of a type-Ic supernova (SN) and signs of a hydrogen-rich circumstellar medium (CSM). Prominent, narrow emission lines of H and He are superposed on the continuum. Subsequent evolution revealed that the SN ejecta are interacting with the CSM. The initial SN Ic identification was confirmed by removing the CSM interaction component from the spectrum and comparing with known SNe Ic and, reversely, adding a CSM interaction component to the spectra of known SNe Ic and comparing them to SN 2017dio. Excellent agreement was obtained with both procedures, reinforcing the SN Ic classification. The light curve constrains the pre-interaction SN Ic peak absolute magnitude to be around M g = − 17.6 mag. No evidence of significant extinction is found, ruling out a brighter luminosity required by an SN Ia classification. These pieces of evidence support the view that SN 2017dio is an SN Ic, and therefore the first firm case of an SN Ic with signatures of hydrogen-rich CSM in the early spectrum. The CSM is unlikely to have been shaped by steady-state stellar winds. The mass loss of the progenitor star must have been intense, M ˙ ∼ 0.02 ( ϵ H α / 0.01 ) − 1 ( v wind / 500 km s−1) ( v shock / 10,000 km s−1)−3 M⊙ yr−1, peaking at a few decades before the SN. Such a high mass-loss rate might have been experienced by the progenitor through eruptions or binary stripping.
Terror Management in a Predominantly Muslim Country The Effects of Mortality Salience on University Identity and on Preference for the Development of International Relations

The mortality salience hypothesis of terror management theory was tested in a predominantly Muslim country. In Study 1a, private university students primed with thoughts of death reported more negative evaluations of a paragraph arguing state universities' superiority to private ones, compared to a control condition in which ''death'' was replaced by ''an important exam. '' Study 1b conceptually replicated this finding at a state university. Study 2 found that MS participants wanted their home country to have stronger relations with Turkmenistan and weaker relations with England and Greece. Results were discussed with reference to university and national identity, and implications for future research were noted.
The use of an iPad as a classroom tool

The Apple "i" line has been steadily increasing in popularity and many educators believe these devices offer great potential as instructional adjuncts. Many schools (including colleges) have begun issuing iPads to students with the assumption that they would enhance the students' educational experience. Little experimental evidence has been produced supporting this claim. This study was an attempt to experimentally evaluate the effectiveness of iPads on learning educational material. Participant's interest and enjoyment while using the iPad versus traditional material presentation (paper images or physical models) were also examined. Participants were randomly assigned to learn 24 anatomical brain structures using one of three conditions; 1) control color paper images, 2) plastic anatomical model, and 3) iPad application "3-D Brain", produced by Dolan DNA Learning Center. Participants were given 10-minutes with their assigned material and were then immediately tested on the material. The results demonstrated that learning & memory performance using the iPad was significantly better than the plastic model, and no different from paper pictures. Compared to the plastic model, participants also reported that they enjoyed the task more, felt more prepared, felt their performance was better, and would be more likely to take a class using the iPad. A gender difference was also discovered, suggesting that females might benefit more from the use of the iPad than males. The limitations and implications of these findings are discussed.
ScholarWorks@UARK ScholarWorks@UARK

Massive multiple-input multiple-output (MIMO) is the concept of deploying a very large number of antennas at the base stations (BS) of cellular networks. Frequency-division duplexing (FDD) massive MIMO systems in the downlink (DL) suffer signiﬁcantly from the channel estimation overhead. In this thesis, we propose a minimum mean square error (MMSE)-based channel estimation framework that exploits the spatial correlation between the antennas at the BS to reduce the latter overhead. We investigate how the number of antennas at the BS affects the channel estimation error through analytical and asymptotic analysis. In addition, we derive a lower bound on the spectral efﬁciency of the communication system. Close form expressions of the asymptotic MSE and the spectral efﬁciency lower bound are obtained. Furthermore, perfect match between theoretical and simulation results is observed, and results show the feasibility of our proposed scheme.
Emotional Content in Autobiographical Memory through an Attachment Theory Framework

Elizabeth Tsatkin The current study investigates the relationship between individual differences in attachment style and the recall of autobiographical memories. According to attachment theory, affect regulation strategies employed by individuals high in attachment anxiety and high in attachment avoidance are likely to influence how information about the past is recalled. This study examines how attachment anxiety and attachment avoidance relate to the presence of negative emotions in autobiographical memories of upsetting events with important relationship figures (i.e., mother, father, or roommate). Participants included 248 undergraduate students ranging from ages 18-22 that attend a public university in the northeast. As hypothesized, individuals with an avoidant attachment expressed less sadness in their responses to the written narrative task, especially when prompted for memories involving their primary caregiver. Contrary to the hypothesis, anxiously attached individuals did not display higher levels of worry/fear emotions in their responses to the written narrative. Attachment anxiety was related to some differences in emotional content; however, this varied by relationship partner. The results provide evidence linking attachment style to emotion selection and retrieval in autobiographical memories of ‘upsetting’ events. Implications for close relationships and therapy are discussed. Instructor: Stephanie Snow, Kate Zona Professor: Dr. Stephanie Milan Emotional Content in.
Smart Location-Based Mobile Shopping Android Application

In the paper, a smart location-based mobile shopping application for Android devices is proposed. The Geo-position of the user’s mobile device is utilized to produce location information in shopping application (SAGO). The flow of the application is that user searches a product, and then SAGO identifies the location and searches the product on the closest electronic local stores. The idea is to get the prices from each local store with in stock information and smartly listed product list. With the proposed smart filtering algorithm, mobile shopping application achieves precise and minimum error based on searching and listing results.
Effects of health program aimed at increasing daily living non-exercise physical activity on physical activity and self-efficacy in sedentary college students

*School of Human Studies, Ishinomaki Senshu University 1 Shinmito, Minamisakai, Ishinomaki, Miyagi 986-8580, Japan yamauchi@isenshu-u.ac. jp **Graduate School of Educational Informatics, Tohoku University 27-1 Kawauchi, Aobaku, Sendai, Miyagi 980-8576, Japan ***Faculty of Medical Science and Welfare, Tohoku Bunka Gakuen University 6-45-1Kunimi, Aobaku, Sendai, Miyagi 981-8551, Japan ****Department of Psychological and Behavioral Science, Miyagi Gakuin Women’s University 9-1-1Sakuragaoka, Aobaku, Sendai, Miyagi 981-8557, Japan *****School of Science and Engineering, Ishinomaki Senshu University 1 Shinmito, Minamisakai, Ishinomaki, Miyagi 986-8580, Japan [Received January 22, 2013 ; Accepted May 19, 2013]
Physiochemical, Functional and Structural Characterization of Wheat Germin Using In silico Methods

Wheat germin, an oxal ate oxidase possesses high proteolytic and thermal stability but is poorly characterized. Three dimensional structure of wheat germin is also not available at PDB. The present paper uses bioinformatics approach to describe the physiochemical, functional and structural properties of wheat germin. The three dimensional structure of wheat germin is pred icted by ho mology m odelling using the highly homologous barley germin as template. The model was evaluated with PROCHECK, VERIFY 3D, WHAT IF, ERRAT and ProSA programs. Model visualization and analysis was done with Swiss-PDB viewer. Nature of active site and key features of the model responsible for stability of enzyme are also discussed.
Speech Driven Face Animation Based on Dynamic Concatenation Model

In the paper, we design and develop a speech driven face animation system based on the dynamic concatenation model. The face animation is synthesized by the unit concatenating, and synchronous with the real speech. The units are selected according to the cost functions which correspond to voice spectrum distance between training and target units. Visual distance between two adjacent training units is also used to get better mapping results. Finally, the Viterbi method is used to flnd out the best face animation sequence. The experimental results show that synthesized lip movement has a good and natural quality.
Molecular investigation of methicillin-resistant staphylococcus aureus isolates from blood: USA600 emerges as the major type.

INTRODUCTION The widespread emergence of methicillin-resistant Staphylococcus aureus is turning into a real worry in public health. The goals of the present study were to identify resistance and virulence encoding genes and molecular characteristics of methicillin-resistant S. aureus bloodstream isolates. METHODOLOGY A cross-sectional study was conducted on 84 S. aureus bloodstream isolates during a 10-month period. To evaluate antibiotic susceptibility of the isolates, we used Kirby-Bauer disk diffusion method. In addition, the prevalence of antimicrobial resistance and toxins genes was assessed using polymerase chain reaction. Isolates were typed according to polymorphisms seven housekeeping genes by MLST. RESULTS All the isolates were resistant to methicillin. The most prevalent resistance gene was mecA gene (100%) followed by tetM (57.1%), aac (6΄)-Ie/aph (2˝) (53.6%), ant (4΄)-Ia (46.4%), ermA (45.2%), msrA (35.7%), msrB (33.3%), aph (3΄)-IIIa (33.3%), ermB (31%), ermC (16.7%), and mupA (14.3%) genes. The presence of toxin encoding genes tst, pvl, eta, and etb were detected in 25%, 14.3%, 3.6% and 3.6%, respectively. The isolates were classified into five different sequence types: ST45 (29.8%), ST239 (27.4%), ST858 (21.4%), ST22 (17.8%), and ST59 (3.6%). All the high-level mupirocin-resistant (HLMUPR) strains belonged to ST239, while the low-level mupirocin resistant (LLMUPR) strains belonged to ST22 (13%) and ST239 (6%). CONCLUSIONS To the best of our knowledge, the present study is the first report of ST59 in MRSA bloodstream isolates in Iran. Our data demonstrated the need for thorough epidemiological monitoring to detect emergence and dissemination of MDR- MRSA types in our hospitals.
Fault Diagnosis of Induction Motor Based on a Novel Intelligent Framework and Transient Current Signals

This paper deals with fault diagnosis of induction motor containing common faults by using a novel intelligent framework and transient stator current signals. This framework consists of a Fourier-Bessel (FB) expansion for analyzing the transient signals, a generalized discriminant analysis (GDA) for feature reduction, and a relevance vector machine (RVM) for fault classification. The start-up transient current signals are acquired from different motor operating conditions and decomposed into single components using FB expansion. Subsequently, a number of statistical features in the time domain and the frequency domain are computed for each component to represent the motor conditions. The high dimensionality of the feature set is reduced by implementing GDA. Finally, the diagnosis performance is carried out by RVM, which is an intelligent method in pattern recognition area. The framework has been applied for traction motor faults including bowed rotor, broken rotor bar, eccentricity, faulty bearing, mass unbalance, and phase unbalance in general applications. The results show that the proposed diagnosis framework is capable of improving the classification accuracy significantly in comparison other methods.
Intercultural relations in Russia and Latvia: the relationship between contact and cultural security

The project Mutual Intercultural Research in Plural Societies was designed to examine three hypotheses of intercultural relations: the multiculturalism hypothesis, the integration hypothesis, and the contact hypothesis. These hypotheses were derived from the Canadian multiculturalism policy (Berry, 1984), and their validity has been assessed in a number of countries. Our goal was to evaluate these hypotheses in Russia (Moscow) and Latvia (Riga). We used sociopsychological surveys of two dominant groups (Russian Muscovites and Latvians in Riga) and two nondominant groups (migrants from the Caucasus in Moscow and the Russian minority in Riga) employing structural equation modeling. A sense of perceived security promoted tolerance toward other cultural groups in three of the samples. Perceived security was related significantly to multicultural ideology in Riga, but there was no significant relationship to multicultural ideology in the Moscow samples. A preference for the integration strategy among the migrants in Moscow as well as among the Russians in Latvia promoted their better sociocultural adaptation and had a significant impact on the life satisfaction of the Muscovites but had no impact on the Latvian sample in Riga. Our results provided some support for the effect of intercultural contact on the acceptance of others in three of the groups: the migrants in Moscow, the Russian minority in Riga, and the dominant group in Moscow. However, among the Russians in Riga, the relationship between contacts and perceived security was negative. The multiculturalism hypothesis was confirmed with the dominant group in Riga and was partly confirmed with both the dominant and the nondominant groups in Moscow and with the Russian minority in Riga. The contact hypothesis received partial support with both groups in Moscow and the Russian minority in Riga but was not confirmed with the Latvians in Riga. There was partial support for the role of the integration strategy in promoting sociocultural adaptation and well-being among the migrants in Moscow and the Muscovites. These findings require additional analysis of the sociopolitical and historical context in Latvia in order to understand the psychological outcomes of acculturation among the Russian minority there.
The Usage of Emergency Contraceptive Methods of Female Students in Hawassa University: A Case Study on Natural and Computational Science

Students in the higher education are found in adolescent period. Because of this, they are exposed to unwanted pregnancy that leads them to attempt illegal abortion, which results in death or illness or loss of future fertility and on the other hand, they are obliged to leave their education. The objective of the study is to assess the factors that affect female studentsemergency contraceptive usagein HU in case of Colleges of Natural and Computational Sciences. The significance of the study is to create some insight on the female students about contraceptive methods and to save female students from illegal abortion, unwanted pregnancy and other related problems. The source of data is primary data and it was collected using questionnaires. The statistical model under consideration was logistic regression and chi-square test of association. In descriptive part, the majority of student (77.6%) isless than 22 years old and42.4%are third year students. Sixty percent of the respondents come from urban area and the parental educational level of 36.8% of the respondents is higher education level. Most of the female students accessedinformation of emergency contraceptive from health professional, media and from their friends. 51.2% of Natural and Computational Sciences female students are familiar with ECM, but the rest 48.8% of female students not use emergency contraceptive at all. The usage of emergency contraceptive method are associated with where the female students heard and get the ECM, their marital status, parent’s educational level and batch of students. The female students usage of ECM affected by source and information about emergency contraceptive method (ECM), their marital status and batch of students. Hence HU should prepare panel discussion, post some poster which talk about ECM in some areas like in clinic, invite some guests from the family planning bureau to teach the students when and how to use the ECM.
THE HILL-CLIMBER WITH SIDESTEP FOR CONSTRAINED MULTI-OBJECTIVE OPTIMIZATION PROBLEMS

Many researchers have hybridized Multi-Objective Evolutionary Algorithms (MOEAs) with local search techniques in order to obtain fast and reliable algorithms, capable of computing an accurate representation of the entire Pareto set in one single run. Recently, the Hill Climber with Sidestep (HCS) has been proposed: a pointwise iterative local search method, capable of moving both toward and along the Pareto set, depending on the location of the current iterate. However, one crucial drawback is that HCS was restricted to unconstrained models. In this paper, we investigate four different constraint handling techniques—penalty, barrier, backtracking, and gradient projection—with respect to their potential usage together with HCS. We first study new variants as standalone operators. Second, we integrate them into well-known algorithms: SPEA2 and NSGAII. Numerical results on several benchmarks indicate the benefit of HCS as a local searcher also when applied to constrained problems.
Functional Requirements for Adding Digital Forensic Readiness as a Security Component in IoT Environments

For every contact made on a digital device, a trace is left behind; this means that every digital device contains some form of electronic evidence that may be associated to the behaviour of the users in a given environment. This evidence can be used to prove or disprove facts if a cyber-incident is detected. However, the world has seen a shift on how devices communicate and connect as a result of increased devices and connectivity, which has led to the creation of “smart environments” where the Internet of Things (IoT) plays a key role. Still, we can harness this proliferation of digital devices and smart environments to Digital Forensic (DF) technology which might help to solve the puzzle of how proactive strategies can help to minimise the time and cost needed to conduct a digital investigation. This article introduces the Functional Requirements (FRs) and processes needed when Digital Forensic Readiness (DFR) process is employed as a security component in the IoT-based environment. The paper serves as a continuation of the initially proposed architecture for adding DFR as a security component to IoT environment. The aspects and claims presented in this paper can be used as basic building blocks for implementing DFR technologies that guarantee security in the IoT-based environment. It is worth noting again that the processes that have been defined in this paper comply with the ISO/IEC 27043: 2015 International Standard.