Miracle-dz/UniFAR-FTUs huggingface dataset:
Researcher Subjectivities as a Conceptual Frame in Collaborative Research: How Exploring the Experiences of Adult Educators Led to Examining Researcher Lenses

This article discusses how narrative research that began as an exploration of adult educator practice transitioned to incorporate an examination of researcher lenses, ultimately resulting in an increased understanding of the critical role that researcher subjectivity plays in the collaborative qualitative research process. First, we discuss the aims and methodology of our original research study, which explored significant experiences in adult educators' practice. We examine how our focus shifted during the analytical stages of this research to explore our own presence in the research. We then discuss each of our own subjectivities and how our individual researcher lenses influenced our collaborative research. Next, we detail our research findings, exploring how acknowledging our own subjectivities altered our approach to the data, helping us to reconceptualize the 14 initial themes in our interviews with adult educators to three overriding ones: meaningfulness and ambiguities, power and critique, and reflection and authenticity. We then discuss emerging issues about collaborative inquiry and how our subjectivities as researchers construct lenses that continually inform our research processes, including the analysis and interpretation of data. We conclude that researcher subjectivities, when overtly invited into the research process, can become powerful tools in collaborative qualitative research.
Early Stages of Development Shed Light on Fruit Evolution in Allopolyploid Species of Geum (Rosaceae)

Molecular phylogenetic studies have shown that the evolutionary history of Geum L. has been strongly influenced by allopolyploidy, and they have indicated widespread homoplasy in morphological traits within the group. This study of gynoecial development in Colurieae shows that fruits with jointed styles develop similarly. In early stages of development, the position of the joint is basal in all lineages where it is present. In the diploids, it remains at the base of the style, but in the tetraploid and the two hexaploid lineages, a beak forms from the distal part of the ovary, causing the joint to be brought upward as it elongates. In the two lineages of the hexaploid clade, a hook is subsequently developed in the distal part of the beak (the “fishhook fruit”). One of these also undergoes a final stage when the beak is twisted. The similarity of development implies that the joint and the deciduous segment of the style are homologous structures inherited by the polyploids from one of their diploid ancestral lineages, although they are not expressed in all species. Genome‐level processes that could affect the expression of morphological traits in groups of allopolyploid origin are discussed.
Error Analysis for Localizing Egocentric Multimodal Cues in the Presence of Helicopter Noise

Loss of situation awareness (SA) remains a problem in aviation and can result in spatial disorientation (SD). Attempts to remedy the problem through non-visual displays have used 3-dimensional (3D) audio and vibrotaction. It is possible that the operational environment may not facilitate the use of 3D audio aircraft noise, fore-aft sound confusions, and pilot hearing loss. The present study looked at the effect of the first variable (ambient noise) on participants’ performance for localizing egocentric 3D audio, tactile, and redundant audiotactile cues in the presence of continuous helicopter noise. Accuracy rates were significantly better and errors were less disperse for tactile and audiotactile cues, suggesting that displaying information to pilots through these modalities could yield substantially better performance versus 3D audio alone.
Analysis on the User's Data of Tencent Micro-blog

Based on the data collected of Tencent Micro-blog,this paper proposes the concept of "the content's charm index of micro-blog",then uses Pearson and Spearman correlation coefficient to analyze the relationship between the number of listeners and the number of users,and the relationship between "the content's charm index of micro-blog" and the number of users.At last,the paper uses K-Means clustering algorithm to analyze the characteristics of users.The conclusion is that the content's charm index of micro-blog has moderate positive correlation with the number of users.K-Means clustering classifies the users into three types such as information-obtaining type,grassroots celebrities and ordinary social networking type.Thus,by optimizing the algorithm and using the content's charm index of micro-blog and the result of clustering,service providers can reduce unnecessary recommendations of pages and application to meet the needs of users so as to acquire commercial value.
Interdependence Between Some Major European Stock Markets - A Wavelet Lead/Lag Analysis

This paper investigates multiscale interdependence between the stock markets of Germany, Austria, France, and the United Kingdom. Wavelet energy additive decomposition was analyzed to investigate which scales capture the most energy (volatility), whereas a wavelet cross-correlation estimator was used to analyze comovement and lead/lag relationship between stock markets' return dynamics on a scale-by-scale basis. The main findings of the paper are as follows. First, major financial market crises had a significant impact on return volatility of investigated stock markets. Among them, the global financial crisis of 2007-2008 had the greatest and the most durable impact. Second, the lowest scale (associated with stock markets' return dynamics over a 2-4 days horizon) and the second lowest scale (associated with stock markets' return dynamics over 4-8 days horizon) MODWT (maximal overlap discrete wavelet transform) decompositions of stock markets' returns captured the greatest share (together about 70-80%) of indices' returns volatility. Third, comovement between stock market returns is a scale-dependent phenomenon. Fourth, a strong comovement between stock market returns of Germany, France, and the United Kingdom exists at all scales, while the Austrian stock market is less correlated with the three biggest stock markets in Europe. Fifth, the dynamics of stock market returns seems to be well time-synchronized at daily (raw returns) and the lowest scale (scale ) return decomposition as most of the return innovations are transmitted between stock markets intraday. Sixth, at the highest investigated scale (associated with stock markets' return dynamics over a 64-128 days horizon), significant leads and lags between dynamics of stock markets' returns were detected. The time-synchronization of the stock markets' return dynamics for investments of 64 to 128 days horizon is less perfect than for investments of shorter investment horizons.
Introduction To The Dynamics Of Rarefied Gases

introduction to the dynamics of rarefied gases is available in our book collection an online access to it is set as public so you can get it instantly. Our books collection spans in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the introduction to the dynamics of rarefied gases is universally compatible with any devices to read.
2-1-2008 Approximate OWL Instance Retrieval with Screech

With the increasing interest in expressive ontologies for the Semantic Web, it is critical to develop scalable and efficient ontology reasoning techniques that can properly cope with very high data volumes. For certain application domains, approximate reasoning solutions, which trade soundness or completeness for increased reasoning speed, will help to deal with the high computational complexities which state of the art ontology reasoning tools have to face. In this paper, we present a comprehensive overview of the SCREECH approach to approximate instance retrieval with OWL ontologies, which is based on the KAON2 algorithms, facilitating a compilation of OWL DL TBoxes into Datalog, which is tractable in terms of data complexity. We present three different instantiations of the Screech approach, and report on experiments which show that the gain in efficiency outweighs the number of introduced mistakes in the reasoning process.
ENERGY INPUTS TO ADDITIVE MANUFACTURING: DOES CAPACITY UTILIZATION MATTER?

The available additive manufacturing (AM) platforms differ in terms of their operating principle, but also with respect to energy input usage. This study presents an overview of electricity consumption across several major AM technology variants, reporting specific energy consumption during the production of dedicated test parts (ranging from 61 to 4849 MJ per kg deposited). Applying a consistent methodology, energy consumption during single part builds is compared to the energy requirements of full build experiments with multiple parts (up to 240 units). It is shown empirically that the effect of capacity utilization on energy efficiency varies strongly across different platforms.
Evaluating learning technology content with discourse analysis

Abstract The researcher combined qualitative media analysis with tools for discourse analysis to review Blackboard Collaborate™, a tool often used in online education. Technology design references Discourses which dictate how and why these tools should be used. The analysis showed Collaborate™ uses sign systems and knowledge, along with politics, to reinforce a traditional educational Discourse. Educators should be aware of embedded Discourses to effectively incorporate technology into their practice, and designers should consider such Discourses during development. This paper describes discourse analysis as one approach to evaluating technology with regards to affordances for, and constraints to, teaching and learning.
Americas Conference on Information Systems ( AMCIS ) 2008 Understanding Factors Influencing Proficient Information Systems Usage

Variations exist among information system (IS) users’ abilities to effectively utilize an IS. Some users are able to maximize IS potential, while others are not. This research proposes to understand the attributes of individuals who are most capable of exploiting IS to its fullest potential as well as the management and organizational factors that facilitate the development of highly competent users. The Repertory Grid Technique was utilized to identify user attributes contributing to IS proficiency in Phase One of this research and will be utilized to identify management and organizational factors in Phase Two. The results will provide a comprehensive framework of cross-level factors contributing to IS user competency. Also, the results will highlight attributes that can be fostered in other IS users through training interventions or potential hiring criteria as well as management/organizational factors that can be implemented to improve individual performance with IS use.
Content profiling and translation scenarios

Today’s companies are overwhelmed with the need to create a huge amount of content, faster, customized, and for numerous media platforms, in order to support their products. Struggling with managing this amount of information, companies have now realised that the strategic management of multilingual enterprise content has become essential. Strategic management involves profiling content, its uses, its end readers and deciding what should be translated, into which languages, using which translation processes and technology. Profiling enterprise content is necessary in order to maximize the quality of the content and its translation at minimum effort and cost by reducing complexity. By targeting the audience, content could be categorized according to the expectation of the end-users, and so, different translation scenarios can be applied to different content types. This article will discuss the challenges of profiling content within the enterprise, as well as translation scenarios focusing on the decisions that push content in one or another direction.
Re-examination of volatility dynamics in Istanbul Stock Exchange

It is well known that ignoring the regime changes in standard GARCH models results in overestimation of volatility persistence. In this study, by applying iterated cumulative sums of squares (ICSS) algorithm on weekly data of ISE 30 and ISE 100 indices, sudden change points in variance are endogenously detected. For ISE 30 index, two sudden changes points associated with three different volatility regimes and for ISE 100 index, six break points and seven distinct volatility regimes are identified. This information is then integrated to a GARCH(1,1) model and it is found that the volatility persistence is not as high as it has been previously shown in the literature. Under the circumstances created by the recent global financial crisis, the results have important implications for financial investors who are interested in understanding the volatility pattern in stock markets. The findings also point to the review of common perception that the volatility in financial markets is highly persistent.
Differences in phosphorus use between ancient and extant Daphnia genotypes alters algal stoichiometry and abundance

Abstract Understanding the ecological relevance of intraspecific variation and evolutionary change in traits is a central frontier in contemporary ecology. Ecological stoichiometry uses variation in the content and kinetics of elements among species to predict key ecological functions such as nutrient recycling. Although much work has focused on interspecific variation, little is known about the ecological consequences of intraspecific variation and evolutionary change in the processing of ecologically relevant elements such as phosphorus (P). We tested whether physiological evolution can alter somatic P content of Daphnia and algal stoichiometry and abundance as predicted by stoichiometric models of consumer-driven nutrient recycling. We used genotypes of Daphnia pulicaria hatched from resting eggs in lake sediments separated by several hundreds of years of evolution in the wild. Although no significant differences were observed in somatic P content of genotypes from different sediment layers, radiotracer (33P) assays in 2 P–supply conditions (HiP and LoP) revealed considerable differences in P incorporation, particularly under HiP conditions. Further, algae co-occurring with the modern, P-inefficient Daphnia genotypes contained more 33P and exhibited faster population growth compared to counterparts co-occurring with ancient, P-efficient genotypes, with differences more prominent under HiP conditions. This study highlights the potential for intraspecific variation in P-use physiology in affecting trophic interactions via consumer-driven nutrient recycling. Melding ecological stoichiometry and resurrection ecology should elucidate the evolutionary sources and ecological consequences of such variation.
Network traffic prediction based on BP neural network trained by improved QPSO

In order to improve the precision of the network traffic prediction,proposed the BP neural network(BPNN)trained by an optimized QPSO algorithm to model and predict the time series of network traffic data.Proposed a new adaptive parameter control method for QPSO to avoid the particle prematurely and improved the ability of global convergence.The experimental results prove that,compared with the model of BPNN trained by PSO,and BPNN trained by QPSO,this model is more efficient in network traffic prediction with higher precision and better stability.
Quality and quantity of dromedary camel DNA sampled from whole-blood, saliva, and tail-hair

Camels are livestock with unique adaptations to hot-arid regions. To effectively study camel traits, a biobank of camel DNA specimens with associated biological information is needed. We examined whole-blood, saliva (buccal swabs), and tail-hair follicle samples to determine which is the best source for establishing a DNA biobank. We inspected five amounts of each of whole-blood, buccal swabs, and tail-hair follicles in nine camels, both qualitatively via gel electrophoresis and quantitatively using a NanoDrop spectrophotometer. We also tested the effects of long term-storage on the quality and quantity of DNA, and measured the rate of degradation, by analyzing three buccal swab samples and 30 tail-hair follicles over a period of nine months. Good quality DNA, in the form of visible large size DNA bands, was extracted from all three sources, for all five amounts. The five volumes of whole-blood samples (20–100μl) provided ~0.4–3.6 μg, the five quantities of buccal swabs (1–5) produced ~0.1–12 μg, while the five amounts of tail-hair follicles (10–50) resulted in ~0.7–25 μg. No differences in the rate of degradation of buccal swab and tail-hair follicle DNA were detected, but there was clearly greater deterioration in the quality of DNA extracted from buccal swabs when compared to tail-hair follicles. We recommend using tail-hair samples for camel DNA biobanking, because it resulted in both an adequate quality and quantity of DNA, along with its ease of collection, transportation, and storage. Compared to its success in studies of other domesticated animals, we anticipate that using ~50 tail-hair follicles will provide sufficient DNA for sequencing or SNP genotyping.
New k-means clustering center select algorithm.

A part of the existing algorithm is improved.Through computing the distance between data object to count the density parameter of every data object,the biggest density parameter data objects are chosen as the initial clustering centers.When more than one biggest density parameter,the solution how to select the biggest density parameter is proposed,k initial clustering centers are found.And a new k-means clustering center algorithm is proposed.The experimental result proves the improved algorithm can get higher accuracy.
Cognitive and Brain Development: Executive Function, Piaget, and the Prefrontal Cortex

Piaget was the first psychologist to systematically investigate cognitive development by proposing the theory of constructivism and thereby creating a new approach to examine learning. He stated that children think and reason differently at distinct periods in their lives. Based on this theory, educators and researchers have been exploring the idea of staggered childhood development of cognition and learning. However, there has been a distinct lack of consideration of the concurrent anatomical and physiological development of the brain. This literature review explores the Piagetian and neo-Piagetian theories in the context of recent findings concerning anatomical and physiological brain development with respect to executive function development. This review suggests that Piagetian development theory may be closely aligned with changes in the anatomical and physiological development of the brain—in particular, the prefrontal cortex and its associated connections. The maturation of an individual’s brain and increases in its complexity during childhood and adolescence appear to occur in stages that parallel the stages of cognitive development identified by Piaget.
Views of the parents of secondary school students on supporting their children's learning

The aim of this research is determining the support behaviors and activities parents realized for their children’s learning and revealing it relationships with some demographical properties of parents. The translational simultaneous mixed method was used. This study in which quantitative and qualitative methods used together, firstly survey was applied and the semi-structured interviews was done. Data obtained by these data collection tools were analysed simultenously. The participants of this study are 360 parents who are parents of students studying in 5th, 6th, 7th and 8th grades at a secondary school in İstanbul. Semi-structured interviews were realized with 43 parents chosen from these participants. The questionnaire consists of three dimensions and 66 items. In the analysis of quantitative data percentage, frequency, arithmetic means and one-way variance analysis (ANOVA) were used. Descriptive analysis was used for analysing qualitative data. According to data obtained from the research, parents realized the activities which are related to motivate their children to learning and the activities that parents do with the other education stakeholders more than the activities that parents do for helping their children’s lessons. The academical supporting activities parents do are mostly general ones. The general academical supporting activities parents stated that they do generally are following their children’s homeworks/examinations, encouraging them for studying, researching form different learning sources, doing test, providing appropriate learning environments at home, sending their children to school courses and following their academic scores. The motivational supporting activities parents stated that they do mostly are praising their children when they achieve something, encouraging them when they couldn’t be successful in their lessons and talking about what they do at school. The activities mostly stated by parents that they realized collaboratively with other people and insititutions which are related to their children’s learning are attending parents’ meeting and speaking out their negative and positive thoughts about school and teachers. Parents’ opinions about the supporting activities they realised don’t differ according to their educational levels and occupations but they differ according to their ages. It can be said that younger parents (ages between 20 and 30) do supporting activities more than others.
Norcoclaurine synthase: the mechanism and biocatalytic potential of a Pictet-Spenglerase

In plants, the enzyme norcoclaurine synthase (NCS) catalyses the formation of (S)- norcoclaurine via the Pictet–Spengler condensation of dopamine and 4- hydroxyphenylacetaldehyde (4-HPAA). (S)-Norcoclaurine is the precursor to all benzylisoquinoline alkaloids (BIAs), a diverse group of over 2500 natural products. The aim of this project was to elucidate the mechanism of NCS in order to enable the rational engineering of NCS activity. Variants of NCS were screened for activities with various substrates, forming novel tetrahydroisoquinolines (THIQs). NCS was combined with other enzymes in biocatalytic cascades to produce THIQs. Initially, an N-terminally truncated NCS from Thalictrum flavum (Δ19TfNCS) was expressed. Problems with the purification of Δ19TfNCS led to the use of a different truncate, Δ29TfNCS. This enzyme and variants were expressed and purified. The effect of mutations on the activity, kinetics and substrate specificity of Δ29TfNCS led to the conclusion that NCS operates with a ‘dopamine-first’ mechanism. Computational analysis, including molecular dynamics and docking experiments, supported this conclusion. Furthermore, rational engineering of substrate specificity was demonstrated. Next, the biocatalytic potential of NCS was investigated. Biotransformation conditions, such as enzyme or lysate loading, were optimised before demonstrative examples of milligram scale biotransformations were performed. Then, NCS and a transaminase were combined in a one-pot ‘triangular’ biocatalytic cascade to produce chiral BIAs. An additional chemical step led to the one-pot formation of chiral tetrahydroprotoberberines (berbines). The cascades were demonstrated on a milligram preparative scale. Methods for screening NCS mutants were examined: various enzyme preparations, reaction conditions and reporter systems were tested and evaluated. Subsequently, NCS mutants were screened for activities with numerous amines and aldehydes. NCS activity was identified with some α-substituted aldehydes and ketones. Selected mutants demonstrated an increase in activity compared to wild-type for these unusual substrates. Notably, high conversions were revealed for cyclohexanone derivatives. A number of resulting cyclohexane-spiro-THIQs were characterised.