Miracle-dz/UniFAR-FTUs huggingface dataset:
The effect of educational augmented reality on perceived motivational atmosphere and high level thinking among students

Background and Objective: The advent of new technologies has led to major changes in the classroom that caused changes in educational structures, patterns of behavior within the education system, and even instructional content. The use of teaching aids reflects the fact that the age of the teacher as the only force with educational authority has ended. Traditional educational classes are no longer very effective because they depend on specific time and place and cannot provide a real and appropriate context for learning. New technologies provide rich resources that can provide an opportunity for learners to grow. Today, one of the effective factors in motivating students is to use information and communication technology in education. In addition, one of the important goals of teaching and learning is to help students learn how to think productively by combining high-level thinking (evaluating ideas) with creative thinking (creating new ideas). Using modern information and communication technologies, students and teachers are aided to learn and improve thinking skills. Augmented reality is one of the new educational technologies that has been recognized by educational researchers. The effectiveness of augmented reality can be extended to other types of technology, such as mobile devices. The use of smartphones has led augmented reality applications to overspread in almost every area of study. The purpose of this study thus was the effect of educational augmented reality on perceived motivational atmosphere and high level thinking in students. Method and Materials: The methodology of research was Quasi-experimental, with pretest-posttest and control. The population of the study was all second grade high school students in twelve Tehran city. 60 of them were selected by cluster sampling method and were replaced in two
WOMEN IN SOUTH AUSTRALIAN PUBLIC SERVICE: FACTORS INFLUENCING CHOICES FOR LEADERSHIP CAREER

The broad purpose of this paper is to analyse what factors continue to hold more women back from achieving leadership positions in public sector employment. To do so the paper adopts a case study approach utilising primary data gleaned from interviews with 28 female South Australian public servants aged from 30 to 55. The paper critically examines the postfeminist argument that individual choice and psychological factors today have significant impacts on women’s career and lifestyle behaviours. The case study focuses this approach by investigating the choices available to a group of middle managers who are in the pipeline for leadership roles in the state public service in South Australia. The findings suggest that whether these women aspire for a leadership career or not, many structural factors still exist to either obstruct or influence their career progression. The impact of these factors is more severe when they want to progress their careers, particularly into the senior executive levels. Therefore, these women do not appear to have free will in their choices in pursuing a leadership career.
Biologically Inspired Opinion Mining: Features Extraction based on Linguistic Patterns for Customer Reviews

Today, most of online Merchants sites are available to write comments for their customers about particular products/services that they have purchased. Customer reviews express opinion about products/services which are collectively referred to as customers’ feedback data. The task of feature extraction for customer reviews is becoming an interesting part of research area in Opinion Mining application. Therefore, efficient method and techniques are needed to extract features from customer reviews. In this paper, we proposed an idea which is based on the knowledge of linguistic filtering patterns to find product features from customer reviews in an efficient way. Our focus in this paper is to get the patterns of words/phrases about the product features from the review text through nouns, verbs, and adjectives. Experiments will carry out to show the promising results using five electronic product reviews datasets from amazon.com.
Hidden inheritance: an inline caching design for TypeScript performance

TypeScript is a dynamically typed language widely used to develop large-scale applications nowadays. These applications are usually designed with complex class or interface hierarchies and have highly polymorphic behaviors. These object-oriented (OO) features will lead to inefficient inline caches (ICs) or trigger deoptimizations, which impact the performance of TypeScript applications. To address this problem, we introduce an inline caching design called hidden inheritance (HI). The basic idea of HI is to cache the static information of class or interface hierarchies into hidden classes, which are leveraged to generate efficient inline caches for improving the performance of OO-style TypeScript programs. The HI design is implemented in a TypeScript engine STSC (Static TypeScript Compiler) including a static compiler and a runtime system. STSC statically generates hidden classes and enhanced inline caches, which are applied to generate specialized machine code via ahead-of-time compilation (AOTC) or just-in-time compilation (JITC). To evaluate the efficiency of this technique, we implement STSC on a state-of-the-art JavaScript virtual machine V8 and demonstrate its performance improvements on industrial benchmarks and applications.
Using Efficient Deduplication Method in Large-scale Distributed Storage System

Today’s storage systems have a major issue for the long-term storage of massive amounts of unstructured data. Availability and reliability are the basic properties of the most storage system. Replication which is the simplest redundancy scheme can help the storage system to achieve continuous access. But too much redundancy will not improve the data availability when the amount of replication reaches a certain point. In this paper, an efficient data deduplication method in large-scale distributed storage system is presented. Since good data indexing is very helpful for duplicate detection, the deduplication scheme with Bloom filter array is used for the sake of space and look-up efficiency in distributed storage system.
Finding optimal triangulation based on block method

In this paper we give one new proposal in finding optimal triangulation which is based on our authorial method for generating triangulation (Block method). We present two cases in calculation the triangulation weights (classical case and case based on block method). We also provide their equality and established relationship in calculation the weights for both models, with an emphasis on simplicity of calculations which occurs in the second case. The main goal of this paper is on the speed of obtaining optimal triangulation.
ANTI-MICROBIAL ACTIVITY OF NERIUM OLEANDER STEM EXTRACT

Nerium oleander) is commonly known as ‘kaner’ and the plant is toxic. It is used for treatment of heart diseases, respiratory problems, cancer and aids. In the present study we have evaluated the Anti-microbial activity of Nerium oleander stem extracts on wistar strain albino rats.All the extracts showed good activity against all the bacteria used. Preliminary chemical studies of the plat reveal the presence of flavanoids which are responsible for the anti microbial activity of the plant. Extracts showed potent anti microbial activity against Pseudomonas auregnosa and B.Subtilis. Ethanol extract of the plant is more potent than any other extract and is active against all the bacteria tested. None of the extract showed any of the activity against any fungus tested.
FRAMEWORK FOR THE ASSESSMENT OF AN ENTREPRENEURIAL ORIENTATION OF THE UNIVERSITY

With changing economic conditions and the decrease in white collar jobs, the present day universities are experiencing a strong pressure to be financially sustainable. Many universities are undergoing a transformation to move from the traditional job of teaching and research to an active participation in their regions economic development. Historically the universities were engaged in producing a work force to work for the large organizations and governmental jobs with a very less focus on entrepreneurship. Over the past decade some of the universities have become sustainable by enhancing their entrepreneurial orientation as they have encouraged entrepreneurship among their faculty, staff and students. This has resulted in to a direct involvement in supporting the development of innovative new businesses through research and development, teaching and university business incubators. This has further led to a development of industry-academia linkages resulting in the commercialization of university research. Despite a steady growth and the trend towards an entrepreneurial orientation, there is no holistic framework to assess their orientation towards entrepreneurship. Therefore at present there is a strongly felt need for a viable assessment framework. This paper is an attempt to fill this gap by enhancing a conceptual clarity and providing a viable framework for assessing the entrepreneurial orientation of the university.
Effect of temperature on the growth rate of

Tetrahymena thermophila Rachael Callaghan, Petra Catsi, Pravnit Kooner and Nevrose Mangat Abstract In this experiment we studied the effect of temperature on the growth rate of Tetrahymena thermophila . T. thermophila are unicellular organisms that have been used in biology for many years and have a complex link with many key organisms in the ecosystem. We allowed the T. thermophila to grow in incubators at 3 separate temperatures, 13°C, 20°C, and 30°C. Samples were collected every hour on the first day and then our last sample was collected the next morning. Once all of our samples were collected we counted the number of cells in each. We predicted that T. thermophila will have the greatest growth at the highest temperature and through analysis of our results we were able to say that the temperatures were significantly different with a p­value of less than 0.05. The T. thermophila that grew at 13°C had the slowest growth compared to the growth at 30°C (P < 0.031). There was not a significant difference in growth between the 20°C and either of the 13°C or 30°C conditions (P < 0.115 and P < 0.574, respectively). Higher temperatures may result in a greater abundance of T. thermophila which could prove be to beneficial for other key organisms in the ecosystem that reply on these species.
Blockchain 2.0, smart contracts and challenges

Among these applications are smart contracts. Entries into the ledger may consist of computer code that executes the terms and conditions of a contract between parties. Such parties will usually be parties to contracts, private individuals, corporate entities, public institutions or other entities. The more sophisticated the code, the more automated, self-executing, and "smarter" the contract. Ultimately, we may see autonomous parties in the form of computerised agents, such as Internet of Things (IoT) devices, connected online, entering into smart contracts without human interference.
The role of European initiatives in higher education for national policy dynamics: cases of Slovenia, Croatia and Serbia

The aim of the paper is to analyse national policy dynamics and its relationship to European initiatives in higher education in Slovenia, Croatia and Serbia. The primary rationale lies in the specificities of European initiatives in higher education, primarily in terms of the relatively limited competences of the EU and the voluntary character of the Bologna Process. Furthermore, as is the case in other post-Communist countries, in the three aforementioned countries the overall political and economic transition was marked by the idea of “return to Europe” (Héritier 2005) which potentially makes the European initiatives in higher education relatively more important for changes on the system level than in countries of Western Europe. The choice of countries, given that they were part of a federal system until early 90s implies a number of similarities, but also some differences in terms of their position with respect to the EU and participation in European higher education policy arenas. The theoretical lenses employed in the analysis include policy transfer and Europeanization of public policy. The empirical basis consists of various policy documents of the three countries and European initiatives, as well as secondary sources.
Acoustic Structur e and Musical Fu nction: Musical Notes Infor ming Auditory R esearch

Beethoven’s Fifth Symphony has intrigued audiences for generations. In opening with a succinct statement of its four-note motive, Beethoven deftly lays the groundwork for hundreds of measures of musical development, manipulation, and exploration. Analyses of this symphony are legion (Schenker, 1971; Tovey, 1971), informing our understanding of the piece’s structure and historical context, not to mention the human mind’s fascination with repetition. In his intriguing book The first four notes, Matthew Guerrieri deconstructs the implications of this brief motive (2012), illustrating that great insight can be derived from an ostensibly limited grouping of just four notes. Extending that approach, this chapter takes an even more targeted focus, exploring how groupings related to the harmonic structure of individual notes lend insight into the acoustical and perceptual basis of music listening. Extensive overviews of auditory perception and basic acoustical principles are readily available (Moore, 1997; Rossing, Moore, & Wheeler, 2013; Warren, 2013) discussing the structure of many sounds, including those important to music. Additionally, several texts now focus specifically on music perception and cognition (Dowling & Harwood, 1986; Tan, Pfordresher, & Harré, 2007; Thompson, 2009). Therefore this chapter focuses
PDFR: Path Delay Based Flow Rerouting in Software-Defined Networks

This paper presents path delay based flow rerouting (PDFR) algorithm for traffic engineering in software-defined network (SDN). The goal of PDFR is to reroute the elephant flow from ongoing path to least delay path in order to improve network performance. The evaluation results prove that PDFR has not only 21%~71.32% throughput improvement and 14.44%~49.25% flow completion time (FCT) reduction for elephant flows, but also 6%~40% FCT reduction in mice flows (short flows) compared with the single path method. Since PDFR works based on the delay metric of path, the future work will consider not only delay but also traffic loads of the path in order to achieve better performance results.
BUSINESS STRATEGIES ADOPTED IN RESPONSE TO NATURAL DISASTERS: A CASE STUDY OF A HOTEL IN INDONESIA

This paper analyses several business strategies implemented by a medium enterprise hotel, Bambu Resort, after two major natural disasters, i.e. earthquake in 2006 and volcanic eruption in 2010 which hit Yogyakarta, Indonesia. Bambu Resort, located in the heart of Yogyakarta, which overlooks the beautiful Merapi Mountain, was badly impacted by such disasters. Bambu’s business strategies are being examined using business models such as Ansoff Matrix, Service Marketing Mix and also using Porter’s Generic Model. A Contingency Planning Model also been used to discover the preparedness of Bambu Resort before, during and after the disaster take place. In addition, SWOT and TOWS analysis are also been applied to examine the hotel’s internal and external strategies to analyse how the hotel performs after the disaster. Bambu Resort can be improved further so that the business can sustain for a longer term even though they have high potential to be affected by natural disasters such as volcano eruptions and earthquakes. New ideas and recommendation are given in order for Bambu Resort to achieve a higher business entity in the near future.
Ligand- and Structure-Based Drug Design of Non-Steroidal Aromatase Inhibitors (NSAIs) in Breast Cancer

Aromatase is a multienzyme complex overexpressed in breast cancer and responsible for estrogen production. It is the potential target for designing anti-breast cancer drugs. Ligand and Structure-Based Drug Designing approaches (LBDD and SBDD) are involved in development of active and more specific Nonsteroidal Aromatase Inhibitors (NSAIs). Different LBDD and SBDD approaches are presented here to understand their utility in designing novel NSAIs. It is observed that molecules should possess a five or six membered heterocyclic nitrogen containing ring to coordinate with heme portion of aromatase for inhibition. Moreover, one or two hydrogen bond acceptor features, hydrophobicity, and steric factors may play crucial roles for anti-aromatase activity. Electrostatic, van der Waals, and π-π interactions are other important factors that determine binding affinity of inhibitors. HQSAR, LDA-QSAR, GQSAR, CoMFA, and CoMSIA approaches, pharmacophore mapping followed by virtual screening, docking, and dynamic simulation may be effective approaches for designing new potent anti-aromatase molecules.
E-BUSINESS USAGE AND BUSINESS PERFORMANCE: DEVELOPMENT OF MULTIDIMENSIONAL E-VALUE MODEL

The study aims to develop a multidimensional theoretical model which explains factors (categorised under technological, organisational and environmental constructs) that influence E-business usage; how level of E-business usage could influence business performance as well as whether E-business experience could m oderate the “usage -performance relationship. Concerning more on the adoption and post-adoption stages regarding drivers of E-business usage and value creations, this paper constructs a model in attempts to close the knowledge gaps found in prior studies. From literature review, theories relating with E-business innovation and diffusion, also value creation were examined to identify knowledge gaps within previous measurements of business performance. A multidimensional E-value model was then developed by innovating three theories and model, i.e., the TOE model (Tornatzky & Fleischer, 1990), the RBV theory and the Balanced Scorecard (Kaplan & Norton, 1992).
Spatial and Temporal Distribution of Fecal Indicator Bacteria within the Oldman River Basin of Southern Alberta, Canada

Fecal coliform (FC) and Escherichia coli (EC) concentrations in the Oldman River and its tributaries, and in irrigation canals in southern Alberta, Canada, were monitored during 1998, 1999 and 2000. High FC and EC counts were found in drainages from agricultural lands in all years and in the Oldman River downstream of the City of Lethbridge wastewater treatment plant (WTP) during 1998. A significant decrease in the FC and EC concentrations downstream from the Lethbridge WTP was observed in 1999, after an upgrade to the WTP, which included a UV disinfection system. Spikes in FC and EC concentrations were observed in surface waters following heavy rainfall events. It is possible that a decrease in precipitation was responsible for decreases in the FC and EC concentrations observed in the Oldman River over the three years of the study. The increase in FC and EC counts in the tributaries and irrigation canals during this same period presumably reflects greater waste inputs from agricultural lands.
OBESIDADE EM MULHERES PÓS-CIRURGIA DE CÂNCER DE MAMA PARTICIPANTES DE HIDROTERAPIA

Obesidade e sobrepeso sao fatores de risco para desenvolvimento de neoplasias e oferecem maiores chances de recorrencia e progressao. O objetivo deste estudo foi verificar a presenca desses fatores de risco em mulheres pos-cirurgia de câncer de mama, participantes de hidroterapia, por meio do indice de massa corporal (IMC) e circunferencia da cintura. Foram coletados massa corporal e estatura para calculo do IMC e circunferencia da cintura. Participaram do estudo 19 mulheres com faixa etaria de 59,10±11,78 anos e IMC de 29,56±4,07. Das participantes, 94,74% apresentaram-se obesas ou com sobrepeso e 78,94% apresentaram circunferencia da cintura maior ou igual a 88 centimetros. Sao necessarias readaptacoes do tratamento e orientacoes sobre maleficios da obesidade nesta populacao. As precaucoes devem estar dentre os objetivos de saude publica, nao apenas como forma de evitar recidivas, mas tambem como prevencao de patologias que a tem como fator de risco.
The powerful tool of Queuing Theory in the traffic problem of urban road

 Abstract — It is practically significant to research the traffic flow of intersection because the capacity of intersection affects the efficiency of highway network directly. This paper analyzes the traffic conditions of an intersection in certain urban by the methods of queuing theory and statistical experiment, sets up a corresponding mathematical model and compares it with the actual values. The result shows that queuing theory is applied in the study of intersection traffic flow in Urban area and it can provide references for the other similar designs.
Deficiencies of Eye Contact and Faceto-Face Interactions in Social Relations Among Children with Autism

Ability to read information from human face is compelling for social communication as it enables to understand emotions experienced by other persons, their intentions and needs, what in turn can allow to predict their behavior, hence it is one of the first stages of developing knowledge on other people. As the research and observations prove, from very early stage of growth the infants realize that a human face is an object of crucial meaning. While entering face-to-face interaction and establishing eye contact they learn convictions of mental and social lives of others. Problems with social communication of children with autism, particularly in terms of eye contact and looking at the partner of an interaction, allow to distinguish children with autism from their peers with other developmental disorders. Children with autism observe people less, and if they do, they do not concentrate on their faces. Moreover, they are not interested in what others express while establishing eye contact, hence not reading their facial expression nor recognizing emotions noticeable from face. On top of that, they do not react, or react with delay to the stimuli, avoiding direct eye contact. Therefore, they are unable to read the intention of the direction or expression of the eye contact as a tip useful in interpreting others’ behavior, and since children with autism do not understand the meaning of information contained within facial expression and eye contact, their range of social experiences during conversation is significantly limited. It profoundly affects their social communication with other people, particularly as far as initiating and maintaining interactions are concerned. Keywords: autistic child, eye contact, face-to-face interaction, social relations, social communication. DOI: http://dx.doi. org/10.15823/p.2015. 060