Miracle-dz/UniFAR-FTUs huggingface dataset:
Building believable robots : an exploration of how to make simple robots look, move, and feel right

Humans have an amazing ability to see a ‘spark of life’ in almost anything that moves. There is a natural urge to imbue objects with agency. It’s easy to imagine a child pretending that a toy is alive. Adults do it, too, even when presented with evidence to the contrary. Leveraging this instinct is key to building believable robots, i.e. robots that act, look, and feel like they are social agents with personalities, motives, and emotions. Although it is relatively easy to initiate a feeling of agency, it is difficult to control, consistently produce, and maintain an emotional connection with a robot. Designing a believable interaction requires balancing form, function and context: you have to get the story right. In this thesis, we discuss (1) strategies for designing the bodies and behaviours of simple robot pets; (2) how these robots can communicate emotion; (3) and how people develop narratives that imbue the robots with agency. For (1), we developed a series of four robot design systems to create and rapidly iterate on robot form factors, as well as a tools for improvising and refining expressive robot behaviours. For (2), we ran three studies wherein participants rated robot behaviours in terms of arousal and valence under different display conditions. For (3), we ran a study wherein expert performers improvised emotional ‘stories’ with the robots; also one of the studies in (2) included soliciting narratives for the robot and its behaviours.
Object-Relational Database Structure Model and Structure Optimisation

Abstract During object-relational database physical structure design, problems are caused by three factors: ambiguity of transformations of conceptual model, multiplicity of quality assessment criteria, and a lack of constructive model. In the present study a constructive hierarchical model of physical database structure has been developed. Implementations are used in XML, SQL and Java languages. Multi-criterial structure optimisation method has also been developed. Structure variation space is generated using transformation rule database. Prototype has been implemented within the framework of the research.
Iterative learning control for spatial path tracking

Iterative learning control (ILC) is a high performance method for systems operating in a repetitive manner, which aims to improve tracking performance by learning from previous trial information. In recent years research interest has focused on generalizing the task description in order to achieve greater performance and flexibility. In particular, researchers have addressed the ease of tracking only at a single, or a collection of time instants. However, there still remain substantial open problems, such as the choice of the time instants, the need for system constraint handling, and the ability to release explicit dependence on time. A number of ILC methods have tackled the latter problem, loosely termed spatial ILC, but are all application specific and limited in scope. The aim of this thesis is to unlock this potential, and the specific contributions are as follows: first a mechanism to optimize the time instants at the critical tracking positions within point-to-point tracking is developed. This is achieved by embedding an additional cost function and deriving a ‘Two Stage’ design framework to yield an iterative algorithm which minimizes control effort as well as guaranteeing high performance tracking. This approach is based on norm optimal ILC and gradient minimization. Then the task description is further generalized by expanding the formulation to embed via-point constraint and linear planar constraints. This embeds the incorporation of various design objectives including spatial path tracking in a general class of systems, and a mixed form of system constraints are added into this framework. An algorithmic ILC solution is derived using the successive projection method to achieve high performance tracking of the design objectives. Finally, the Two Stage design framework and the generalized ILC framework are combined together to yield the first spatial ILC algorithm capable of optimizing an additional cost function whilst completing the spatial path tracking objective for a general class of systems. All proposed algorithms are verified experimentally on a gantry robot platform, whose experimental results demonstrate their practical efficacy and ability to substantially widen the scope of the current ILC framework.
Aplikasi analisis multivariate dengan program IBM SPSS 21 : update PLS regresi, 7th edition

Daftar Isi: Bab1 : Skala Pengukuran dan Metode Analisis Data Bab 2: Pengenalan Program SPSS, Aplikasi Statistika Deskriptif dan Uji Beda T-Test Bab 3: Data Screening dan Transpormasi Data Bab 4: Uji Reliabilitas dan Validitas Suatu Konstruk Atau Konsep Bab 5: Uji Beda T-Test, Analysis of Variance (ANOVA), Analysis of Covariance (ANCOVA), Dan Multiple Analysis of Variance (MANOVA) Bab 6: Analisis Regresi Bab 7: Uji Asumsi Klasik Bab 8: Regresi Dengan Uji Asumsi Klasik, Variabel Dummy dan Chow Test Bab 9: Model Regresi dengan Bentuk Fungsional Bab 10: Model Regresi Moderasi/Moderated Regression Analysis (MRA) Bab 11: Regresi Dengan Variabel Mediator Atau Intervening, Analisis Jalur Path (Path Analysis) Bab 12: Regresi Dengan Variabel Moderator dan Mediator (MODMED) Bab 13: Analisis Diskriminan Bab 14: Logistic Regression Bab 15: Korelasi Kanonikal (Canonical Correlation) Bab 16: Analisis Conjoin Bab 17: Analisis Faktor Bab 18: Analisis Kluster (Cluster Analysis) Bab 19: Regresi Partial Least Squares (PLS)
Evidence for sensitization of cocaine-induced nucleus accumbens glutamate release.

COCAINE-stimulated glutamate release in the nucleus accumbens was studied following chronic cocaine or saline pretreatment in order to determine whether this effect was sensitized in rats showing augmented dopamine release, locomotor and stereotypy responses. Rats were pretreated with cocaine (30 mg kg -1 ) or saline for 5 consecutive days and were tested with cocaine (15 mg kg -1 ) after a 10-day withdrawal period. Cocaine-induced glutamate release, dopamine release, horizontal locomotor activity and stereotypy were monitored simultaneously in animals undergoing in vivo microdialysis in the nucleus accumbens. The basal levels of extracellular glutamate and dopamine, as well as locomotor activity, were not different between cocaine- and saline-pretreated groups. Following cocaine injection the increase in glutamate release, dopamine release, locomotor activity and stereotypy were greater in the cocaine-pretreated animals. These results show that cocaine-stimulated glutamate release in the nucleus accumbens is sensitized following chronic cocaine pretreatment.
Refining Process of Tuna Oil and Its Effect on Fatty Acid Composition

The impurity of nonglyceride can be removed through refinement of crude fish oil.The results show that the optimal process parameters of refining crude fish oil are as follows: with 800 g/L H_3PO_4 to degumming, its adding amount is 1%;with 300 g/L NaOH to neutralization,its adding amount is 2%;with active earth to bleaching,its adding amount is 10%;the condition is 15 min in 85 ℃ with the vacuum distillation deodorization.The refined fish oil is yellow and transparent with very light fishlike smell.The physical and properties chemical achieve the first refined fish oil standard for SC/T3502-2000.The total content of polyunsaturated fatty acids is 37.06% in refined fish oil,the content of DHA and EPA is 25.10% and 4.45% respectively.
Effect of nitrogen on the protein fractions content and cooking and eating quality of rice grain

Seven japonica rice varieties were studied to reveal the effect of nitrogen on the taste meter value,Rapid Visco Analyzer(RVA) profile and protein fractions content of rice grain.The results indicated that protein content,protein fractions content and Setback increased while the taste meter value,break down and peak viscosity of most of the studied varieties decreased with increasing of nitrogenous fertilizers.The effect of nitrogen on protein fractions percent was small.The taste meter value had significant negatively correlation with protein content and had not notable negatively correlation with amylase content.All four protein fractions had not significant correlation with the taste meter value of rice grain;porlamin was negatively correlated with final viscosity and consistency;other protein fractions content had not significant correlation with all indexes of RVA profile.
A Literary Translation in the Making

Literary translation is a growing industry with thousands of texts being published every year. Yet, the work of literary translators still lacks visibility and the process behind the emergence of literary translations remains largely unexplored. In Translation Studies, literary translation was mostly examined from a product perspective and most process studies involved short nonliterary texts. In view of this, the present study aims to contribute to Translation Studies by investigating indepth how a literary translation comes into being, and how an experienced translator, Toni Aquilina, approached the task. It is particularly concerned with the decisions the translator makes during the process, the factors influencing these and their impact on the final translation. This project places the translator under the spotlight, centring upon his work and the process leading to it while at the same time exploring a scantily researched language pair: French to Maltese. It aims to provide further insights into the different phases of the process, and written alternative translation solutions and self-revisions. A translation process research framework is adopted, and particular attention is given to the post-drafting phases of the process as the translator was closely studied while he self-revised an entire literary text. The research applies a multi-method approach by collecting data through think-aloud, ethnographic observations, interviews, draft versions, the ST and the final translation. The data elicited were triangulated and analysed qualitatively and quantitatively. A rich description of the evolution of a literary translation from first draft to publication is provided. The results show that the translation went through eight phases and nine drafts before it was published, indicating that the translation process may not necessarily be composed of three phases. Amongst other notable findings, results also challenge the deliteralisation hypothesis. The thesis concludes by underscoring the significance of thorough investigations into individual translator behaviour.
Grammar Learning Strategy Inventory (GLSI): Another look

Despite all the progress that has been made in research on language learning strategies since the publication of Rubin’s (1975) seminal paper on good language learners, there are areas that have been neglected by strategy experts. Perhaps the most blatant manifestation of this neglect is the paucity of research into grammar learning strategies (GLS). The main premise of this paper is that for such research to gain momentum, it is to necessary to create valid and reliable data collection instruments that would enable tapping the use of different types of GLS. In line with this reasoning, the article reports a study that aimed to determine the psychometric properties of the Grammar Learning Strategy Inventory (GLSI), a tool constructed by Pawlak (2009b, 2013) on the basis of his classification of strategies for learning grammar in a second or foreign language. Exploratory factor analysis was also employed with the purpose of uncovering the underlying structure of strategic learning of grammar. The analysis provided evidence for largely satisfactory validity and reliability of the GLSI, indicating at the same time there is room for improvement, with concrete changes being possible after the instrument has been tested with a much larger sample.
Studies on mosquito natural infection with Japanese encephalitis virus in border area,Yunnan Province

Objective:To study the mosquito natural infection with Japanese encephalitis (JE) virus and evaluation on their vector status.Methods:Collecting mosquitoes from the indoor and the stables of livestocks in villages in the night,and the outdoor bamboo forests in the daytime.Using C6/36 or BHK 21 cells and suckling mice to isolate viruses.Results:92 748 adult female mosquitoes belonging to 45 species of 6 genera were captured.Forty-two strains of JE virus were isolated from 13 species of mosquito,of those,15 strains were isolated from Culex tritaeniorhynchus,5 strains from Cx.whitmorei,4 strains from Cx.pseudovishnui,2 strains from Cx.fuscocephalus,4 strains from Anopheles sinensis,3 strains from Aedes vexans,2 strains from Ae.albopictus,2 strains from Ae.lineatopennis,a strain from Cx.gelidus,a strain from Cx.annulus,a strain from An.vagus,a strain from Ae.assamensis,a strain from Mansonia uniformis.Conclusions:Cx.tritaeniorhynchus might be the principal transmitting vector of JE in Border area, Yunnan.Cx.whitmorei,Cx.pseudovishoui,Ae.vexans and Ae.albopictus are also considered to be transmitting vector of JE in Yunnan.So Culex are regarded as the main vector of JE in night-actived mosquitoes and Aedes are regarded as the main vector of JE in daytime-actived mosquitoes in the area.
Effects of Bacillus coagulans on Performance,Serum Biochemical Indices and Antioxidant Function of Yellow Broilers

This experiment was conducted to investigate the effects of Bacillus coagulans on performance,serum biochemical indices and antioxidant function of yellowbroilers.A total of 360 one-day-old yellowbroilers were randomly allocated to 4 groups with 6 replicates per group and 15 chicks per replicate.Broilers in the control group(group Ⅰ) were fed a basal diet,and broilers in groups Ⅱ,Ⅲ and Ⅳ were fed the basal diet added with 100,200 and 300 mg/kg Bacillus coagulans(viable count was 1 × 109 CFU/g),respectively.The experiment lasted for 70 days.The results showed as follows: compared with the control group,1) diet added200 mg/kg Bacillus coagulans significantly increased average daily gain,survival rate and percentage of breast muscle(P 0.05),and significantly decreased the ratio of feed to gain in the whole period(P 0.05). 2) Diet added 200 mg/kg Bacillus coagulans significantly increased serum alkaline phosphatase(ALP) activity at age of 28 and 70 days(P 0.01 or P 0.05),and significantly increased the content of albumin(ALB) and total protein(TP) in serum at age of 70 days(P 0.05),and significantly decreased the content of urea nitrogen(UN) in serum at age of 70 days(P0.01). 3) Diet added 200 mg/kg Bacillus coagulans significantly increased serum total antioxidant capacity(T-AOC),superoxide dismutase(SOD) activity at age of 28 and 70 days and catalase(CAT) activity at age of 70 days(P 0.05),and significantly decreased serum malondialdehyde(MDA) content at age of 28 and 70 days(P 0.01 or P 0.05). In conclusion,base on indices of performance,serum biochemical indices and antioxidant function,the effects of adding 200 mg/kg(2 ×108CFU/kg) Bacillus coagulans in the diet of yellowbroilers aged from 1 to 70 days are optimal.
Building and Querying an Enterprise Knowledge Graph

Information providers are faced with a critical challenge to process, retrieve and present information to their users in order to satisfy their complex information needs, because data has been increasing in an unprecedented manner, coming from diverse sources, and covering a variety of domains in heterogeneous formats. In this paper, we present Thomson Reuters’ effort in developing a family of services for building and querying an enterprise knowledge graph in order to address this challenge. We first acquire data from various sources via different approaches. Furthermore, we mine useful information from the data by adopting a variety of techniques, including Named Entity Recognition and Relation Extraction; such mined information is further integrated with existing structured data (e.g., via Entity Linking techniques) in order to obtain relatively comprehensive descriptions of the entities. By modeling the data as an RDF graph model, we enable easy data management and the embedding of rich semantics in our data. Finally, in order to facilitate the querying of this mined and integrated data, i.e., the knowledge graph, we propose TR Discover, a natural language interface that allows users to ask questions of our knowledge graph in their own words; such natural language questions are then translated into executable queries for answer retrieval. We evaluate our services, i.e., named entity recognition, relation extraction, entity linking and natural language interface, on real-world datasets, and demonstrate and discuss their practicability and limitations.
Using virtual accessibility and physical accessibility as joint predictors of activity-travel behavior

Abstract In this study, we propose a conceptual and analytic framework anchored on the concepts of physical and virtual accessibility (the “ease” with which opportunities or activities can be reached in the physical and in the virtual space, respectively) to investigate the rich interplay between virtual and physical activity engagements in multiple activity purposes, while controlling for information and communication technology (ICT) use measures, physical accessibility measures, and demographics. Our framework considers that activity-travel choices are consequences of individual, household, and work characteristics that are mediated by virtual accessibility and physical accessibility. As part of our analysis, we also analyze activity chaining characteristics during travel to study any fragmentation impacts caused by ICT use on activity engagement and scheduling. We use data from the 2011 and 2012 National Travel Survey in Great Britain and apply Bhat’s (2015) generalized heterogeneous data model (GHDM) to jointly model multiple activity and travel outcomes. Our results provide important insights for social welfare, work-life balance, and equity policies, and suggest that decisions regarding virtual activity participations and in-person out-of-home activity participations are determined as a package. Ignoring this package nature of choices can lead to misleading inferences about the effects of virtual activity participations on in-person out-of-home activity participations.
Differential immunoreactivity of the root-knot nematodes, Meloidogyne graminicola and Meloidogyne incognita to polyclonal and monoclonal antibodies and identification of antigens through proteomics approach

Meloidogyne graminicola infect graminaceous plants but have lesser tendency to infect dicotyledonous plants. Meloidogyne incognita is a pest of dicots and occasionally infects cereals. Evolutionary adaptation of these root-knot nematodes to their preferred hosts might have led to variability in their gene/protein profile which could contribute to their differential behaviour outside and inside the different host crops. Polyclonal and monoclonal antibodies raised against several nematode species showed cross-reactivity to antigens with different molecular weights present in the whole body homogenate of M. incognita and M. graminicola J2. This variability in antigenicity may correspond to specific functions of these molecules in M. incognita and M. graminicola. Using proteomics approach possible amino acid sequence of those antigens was elucidated and showed sequence similarity with several proteins like signal recognition particle protein, galactose binding lectin, zinc finger motif, neurotransmitter gated ion channel, transmembrane protein, etc. from the genomic database of several nematode species. To investigate the function of the identified nematode genes, RNA interference could be used to reduce the expression of these selected genes and determine their importance for nematode development, survival or parasitism. Key words: Antibodies, antigens, host recognition, secreted-excreted products, surface coat.
Voice Interaction Online

This chapter examines the potential for voice activities to enhance online learning. Although research related to online writing tools (such as e-mail, discussion threads, blogs, and wikis) is growing and the use of synchronous and asynchronous voice tools (such as internet phone, VoiceThread and multimodal web conferencing) has developed rapidly, little is known about the effects of systematically implementing these voice tools in formal educational settings (Millard, 2010). This chapter first provides a brief overview of the available online voice systems, the design principles of online voice interaction, and prior research and frameworks regarding voice interaction in online and blended learning. It then reports on a study of a systematic application of an asynchronous voice recording system integrated into a learning management system in an undergraduate blended-learning English course. The research found that the voice system was adequately usable and was associated with a positive change in the students‘ perceptions of speaking English over the semester. Half of the students were reluctant to talk to an online program, whereas the other half were willing to do so. Regular use of online voice assignments encouraged high attendance rates for the in-person classes. This suggests the potential power of asynchronous online voice interaction to help support students‘ learning.
Makerspace in STEM for girls: a physical space to develop twenty-first-century skills

Abstract Makerspace has been lauded as a new way forward to create communities, empower students and bring together enthusiasts of all ages and skill levels “to tinker” and create. Makerspace education has been touted as having the potential to empower young people to become agents of change in their communities. This paper examines how a Makerspace approach can capture the imagination and creativity of female primary school students, and engage them in integrated STEM-based projects. The study scaffolded female tertiary undergraduate students to mentor small groups of girls to complete a project in a STEM Makerspace situated in classrooms. The data generated and analysed from this study were used to determine how Makerspace STEM-based projects were enacted, how they engaged and supported the girls’ learning, and considers the future of a Makerspace approach as a way to progress integrated STEM education.
Comparison of Karyotypical Characters between Red Gekko gecko and Black Gekko gecko

Gekko gecko from Laos,Guangxi and Yunnan province of China were used for karyotype analysis by air drying method.The results indicated that the karyotype formula of the red Gekko gecko from Laos is 2n=38=8m+2sm+2st+26t,the karyotype formula of the black Gekko gecko from Guangxi and Yunnan province is the same as 2n=38=8m+2sm+28t.Therefore,there are evident differences between the karyotype formula of the red Gekko gecko and black Gekko gecko on the No.15 chromosome.And the results provide effective evidence of cell biology for classifying the subspecies and species of Gekko gecko.