Miracle-dz/UniFAR-FTUs huggingface dataset:
How ID models help with game-based learning: an examination of the gentry model in a participatory design project

Game-based learning has been a popular development and recommended as an effective pedagogy in educating new generations of learners. Few studies, however, have demonstrated the efficacy of game-based learning on learners’ academic performance with empirical data. The described learning outcomes of game-based pedagogy within the limited available research are diverse. One prominent explanation is the lack of established guidelines. This paper addresses the issues of game design guidelines through a qualitative phenomenographic perspective of the experience of a group of students designing an educational game utilizing an adapted instructional design (ID) model – the gentry model. The results revealed the participants benefited from the process primarily in two capacities: a significant growth in their knowledge of game design and content knowledge; and great enjoyment and high motivation in the learning process. We conclude ID models with proper adaption and adjustment are effective to provide guidance and improve the efficacy of game-based learning if more ID models will be examined.
COMPREHENSIVE DESIGN AND DEVELOPMENT OF TIME EFFICIENCY SPEAKER RECOGNITION MODEL FROM FRONT END TO BACK END

The rapid development of the forensic science technologies has been evolved speaker recognition to becoming one of the research topics. However, pattern classification from speech signal remains as challenging problem encountered in general speaker recognition system, including speaker verification and speaker identification. Conventional speaker recognition researches are almost directed towards accuracy problems, not time processing problems. Due to the needs of reduction time processing of speaker recognition system, this research focuses on develop a comprehensive design of speaker recognition model from front end to back end which able to process speaker data in short time limit. In the front end process, we introduce some pre-processing techniques to enhance the speech signal. Whereas, for the back end process, we propose a decision function by using vector quantization techniques to decrease the training model for GMM in order to reduce the processing time. Experimental result shows that our hybrid VQ/GMM method always yielded better improvements in accuracy and bring almost 30% reduce in time processing. In this paper, a new, robust and simplicity computation method of pattern classification technique for speaker identification system is proposed. Consequently, this research is intended to develop a fully optimize ways speaker identification approach from hybrid modeling.
Social Science Computer Review Volume Xx Number X Month Xxxx Xx-xx Marketing Segmentation through Machine Learning Models an Approach Based on Customer Relationship Management and Customer Profitability Accounting

Customer relationship management (CRM) aims to build relations with the most profitable clients by performing customer segmentation and designing appropriate marketing tools. In addition, customer profitability accounting (CPA) recommends evaluating the CRM program through the combination of partial measures in a global cost–benefit function. Several statistical techniques have been applied for market segmentations although the existence of large data sets reduces their effectiveness. As an alternative, decision trees are machine learning models that do not consider a priori hypotheses, achieve a high performance, and generate logical rules clearly understood by managers. In this article, a three-stage methodology is proposed that combines marketing feature selection, customer segmentation through univariate and oblique decision trees, and a new CPA function based on marketing, data warehousing, and opportunity costs linked to the analysis of different scenarios. This proposal is applied to a large insurance marketing data set for alternative cost and price conditions showing the superiority of univariate decision trees over statistical techniques. C ustomer relationship management (CRM) focuses on identifying the most profitable customers to build stable relationships and to optimize the financial results of the com-The importance of these CRM programs have increased in past years due to a competitive environment that combined the sociodemographic characteristics of retail consumers and the specialization of sellers and buyers and forced the company to secure a dynamic management of clients to achieve higher profits and to gain a higher share of the market than its competitors (Kim, Street, & Menczer, 2001). To develop a complete CRM program, several stages need to be completed (Winer, 2001). From there, the initial segmentation of clients and the design of metrics for measuring the success of the CRM program are particularly critical, despite several limitations about their development.
Estimating the effect of common method variance: the method-method pair technique with an illustration from TAM research

This paper presents a meta-analysis-based technique to estimate the effect of common method variance on the validity of individual theories. The technique explains between-study variance in observed correlations as a function of the susceptibility to common method variance of the methods employed in individual studies. The technique extends to mono-method studies the concept of method variability underpinning the classic multitrait-multimethod technique. The application of the technique is demonstrated by analyzing the effect of common method variance on the observed correlations between perceived usefulness and usage in the technology acceptance model literature. Implications of the technique and the findings for future research are discussed.
Re-Service Teachers’ Views On Web-Based Classroom Management

With the invention of World Wide Web in 1992, delivery of distance education via internet and emergency of web-based classrooms have rapidly gained acceptance as an alternative and supplement to traditional face to face classroom instruction (Alavi, Yoo & Vogel, 1997; Rahm & Reed, 1997), which represents a paradigm shift challenging all traditionally accepted assumptions concerning dynamics of classroom management. Classroom is highly complicated environment with its features of multi-dimensionality, simultaneity, immediacy, unpredictability, publicness and history. And web based classroom is more complicated than traditional classroom because the web technology is added. Students‘ views are considered by many researchers as one of the critical and valid source data in evaluating the teaching effectiveness and learning settings. The purpose of this study is to find out views of pre-service teachers about web based classroom management. With qualitative research method, particularly descriptive technique 20 pre-service teachers‘ views were evaluated. Research findings revealed that students defined web-based classroom management with extra workloads of the students thus effectiveness is associated with students‘ roles. Guiding/mentoring on technical issues, on the field knowledge, classroom interaction were defined by the students as the essential leadership roles of teachers. Concerning interaction while student to course content/material interaction was perceived as satisfactory, level of student to student interaction was reported as low. Web-based instruction itself and being free form time and place emerged as motivating factors.
An SEM Perspective on Evaluating Mediation: What Every Clinical Researcher Needs to Know

After a brief consideration of the definition and importance of mediation, statistical tests for mediation are reviewed, including the joint significance of the two effects involved in the mediation, the Sobel test and its variants, resampling with the bootstrap, Bayesian estimation using MCMC simulation, and the effect ratio. A structural-equation-modeling (SEM) perspective on mediation then introduces the alternative scenarios that could yield a false-positive mediation finding. Design-based, partial solutions are advanced for problems of measurement, uncontrolled common causes, and temporal ordering that can confound mediation analysis. Next, the issue of heterogeneity of effects and statistical interactions in mediation analyses are addressed, including a discussion of moderated mediation and mediated moderation. Finally, the relation of mediation analysis to experimentation is discussed, with attention to the possibility of creatively integrating SEM-based mediation analysis and experimental design.
Immune Network Theory Based Artificial Immune System and Its Application for Pattern Recognition

Natural immune system is a complex of cells, tissues and organs that work together to protect the host against foreign invaders' attacks. Immune network theory proposed by Jerne indicates that the immune system, even in the absence of foreign stimuli, must display an eigen-behavior resulting from cell-cell interactions within the immune system. In this paper, motivated by the natural immune principles, we propose an artificial immune system model based on the immune network theory. Unlike other immune network theory based models, in which an immune cell at idiotypic level i interacts with populations at levels i - 1 and i + 1, we propose the new model, in which antibodies at idiotypic level i interacts with populations at constant levels a1 (index of the stimulation cell) and aN (index of the inhibition cell). Simulation results of pattern recognition have demonstrated the effectiveness of the novel artificial immune system.
Organizational learning and transformational leadership in the library environment

Purpose – This paper aims to provide librarians with an in‐depth review of transformational management and its relation to organizational learning and adaptation.Design/methodology/approach – The paper broadens the library literature related to management style, organizational learning and transformation, with concepts derived from the relevant management literature.Findings – Librarians are experimenting with organizational learning and new management styles in an attempt to cope with rapid change. Transformational management styles can be learned and applied by library administrators. The extent to which library administrators are using transformational management techniques to cope with change remains obscured by the fact that appropriate surveys have not been conducted.Research limitations/implications – The self‐assessment tool is based on an adaptation of the multifactor leadership questionnaire (MLQ), developed by Bass and Avolio to study leadership styles in business, industry and the military. Re.
Cohomology of $SL_2$ and related structures

Let $SL_2$ be the rank one simple algebraic group defined over an algebraically closed field $k$ of characteristic $p>0$. The paper presents a new method for computing the dimension of the cohomology spaces $\text{H}^n(SL_2,V(m))$ for Weyl $SL_2$-modules $V(m)$. We provide a closed formula for $\text{dim}\text{H}^n(SL_2,V(m))$ when $n\le 2p-3$ and show that this dimension is bounded by the $(n+1)$-th Fibonacci number. This formula is then used to compute $\text{dim}\text{H}^n(SL_2, V(m))$ for $n=1, 2,$ or $3$. For $n>2p-3$, an exponential bound, only depending on $n$, is obtained for $\text{dim}\text{H}^n(SL_2,V(m))$. Analogous results are also established for the extension spaces $\text{Ext}^n_{SL_2}(V(m_2),V(m_1))$ between Weyl modules $V(m_1)$ and $V(m_2)$. In particular, we determine the degree three extensions for all Weyl modules of $SL_2$. As a byproduct, our results and techniques give explicit upper bounds for the dimensions of the cohomology of the Specht modules of symmetric groups, the cohomology of simple modules of $SL_2$, and the finite group of Lie type $SL_2(p^s)$.
Optimal versus PSP-based sequence detection for Rayleigh fading channels

We investigate maximum likelihood sequence estimation (MLSE) of data sequences transmitted over time-varying frequency-selective Rayleigh fading channels. We present the optimal receiver designed to exploit perfect channel state information (CSI) at the beginning of the data sequence and the optimal receiver which does not use this information. For any given data sequence length a performance range for optimal detection can be identified: this range is lower bounded by the optimal receiver with perfect CSI and upper bounded by that without CSI. For increasing data sequence lengths, this range becomes narrower, since the performance of the two optimal receivers tends to converge to a common level. As a consequence, the performance of the optimal detector can be inferred and compared to that of practical receivers based on per-survivor processing (PSP).
Focus on Form, Tasks, and Technology

In the main, second language acquisition research and the applications of technology to language learning have remained relatively separate areas, with occasional exceptions in research studies (e.g., Doughty, 1991) and book length treatments (Chapelle, 2001). This article will explore connections between technology, and especially, web-based learning, on the one hand, and current views of second language acquisition, in the shape of what is becoming known as the “focus on form” literature, on the other. After a general introductory section, in which the concept of focus on form is discussed, a review is provided of current work in task-based instruction, as the major current implementation of focus on form concepts. This research is then analysed in terms of how task findings contribute to the two processes, on the part of the language learner, of how change in the underlying interlanguage system occurs, and then how the learner achieves control over what has changed. These findings and analyses are then related to opportunities and dangers in the use of technology for language learning.
A monoidal Grothendieck construction for $\infty$-categories

We construct a monoidal version of Lurie's un/straightening equivalence. In more detail, for any symmetric monoidal $\infty$-category $\mathbf C$, we endow the $\infty$-category of coCartesian fibrations over $\mathbf C$ with a (naturally defined) symmetric monoidal structure, and prove that it is equivalent the Day convolution monoidal structure on the $\infty$-category of functors from $\mathbf C$ to $\mathbf{Cat}_\infty$. In fact, we do this over any $\infty$-operad by categorifying this statement and thereby proving a stronger statement about the functors that assign to an $\infty$-category $\mathbf C$ its category of coCartesian fibrations on the one hand, and its category of functors to $\mathbf{Cat}_\infty$ on the other hand.
Behavior of AIRSAR signals during MAC-EUROPE'91

SAR signals over a small catchment are qualitatively evaluated using the data collected in a multi-sensor airborne campaign. Results are used to address the problems in relation to soil moisture estimation. It is found that a short grass canopy does not have a significant effect on the SAR echoes. Polarization ratios may not be adequate for soil moisture retrieval purposes. <<ETX>>
Kinetic and Mechanistic Aspects of Redox Reactions of Tellurium(Iv) and Tellurium(Vi)

Many kinetic and mechanistic studies are reported on the direct and transition metal ion catalysed oxidation of tellurium(IV) with oxidants like persulphate, periodate, chromium(VI), hexacyanoferrate(III), cerium(IV), manganese(III), cobalt(III) etc. Similar studies on the reduction of tellurium(VI) by different reductants are much fewer. An attempt has been made to discuss in brief up-to-date information available on the nature of tellurium(IV) and tellurium(VI) species as well as kinetic and mechanistic studies on the direct and catalysed oxidation and reduction reactions of tellurium(IV) and tellurium(VI) respectively. The majority of reactions concerned with the oxidation of tellurium(IV) to tellurium(VI) seems to prefer a complementary path to a non-complementary one, in accordance with Schaffer's principle of equivalent change.
Assessing Student Learning Outcomes: A Comparative Study of Techniques Used in Business School Disciplines

Abstract In this study, the authors surveyed U.S. business schools to investigate frequency of use and perceived effectiveness of methods used in assessment of student learning. The authors found that case studies were used frequently, which is consistent with high perceptions of their effectiveness. Their finding that group-process observation and item analysis were used infrequently is consistent with low perceptions of these methods' effectiveness. Five other methods were used fairly frequently. The findings show that, though faculty members use methods appropriate for assigning grades, they demonstrate infrequent use of methods that might be more effective for overall assessment of a program.
Acoustic Correlates of Auditory Object and Event Perception: Speakers, Musical Timbres, and Environmental Sounds

Human listeners must identify and orient themselves to auditory objects and events in their environment. What acoustic features support a listener’s ability to differentiate the great variety of natural sounds they might encounter? Studies of auditory object perception typically examine identification (and confusion) responses or dissimilarity ratings between pairs of objects and events. However, the majority of this prior work has been conducted within single categories of sound. This separation has precluded a broader understanding of the general acoustic attributes that govern auditory object and event perception within and across different behaviorally relevant sound classes. The present experiments take a broader approach by examining multiple categories of sound relative to one another. This approach bridges critical gaps in the literature and allows us to identify (and assess the relative importance of) features that are useful for distinguishing sounds within, between and across behaviorally relevant sound categories. To do this, we conducted behavioral sound identification (Experiment 1) and dissimilarity rating (Experiment 2) studies using a broad set of stimuli that leveraged the acoustic variability within and between different sound categories via a diverse set of 36 sound tokens (12 utterances from different speakers, 12 instrument timbres, and 12 everyday objects from a typical human environment). Multidimensional scaling solutions as well as analyses of item-pair-level responses as a function of different acoustic qualities were used to understand what acoustic features informed participants’ responses. In addition to the spectral and temporal envelope qualities noted in previous work, listeners’ dissimilarity ratings were associated with spectrotemporal variability and aperiodicity. Subsets of these features (along with fundamental frequency variability) were also useful for making specific within or between sound category judgments. Dissimilarity ratings largely paralleled sound identification performance, however the results of these tasks did not completely mirror one another. In addition, musical training was related to improved sound identification performance.
Human Memory Th17 Cell Populations Change Into Anti-inflammatory Cells With Regulatory Capacity Upon Exposure to Active Vitamin D

Autoimmune diseases are characterized by an aberrantly activated immune system, resulting in tissue damage and functional disability in patients. An important therapeutic goal is to restore the deregulated immunological balance between pro- and anti-inflammatory T cells. This imbalance is illustrated by elevated levels and activity of memory Th17 cell populations, such as Th17, Th1/Th17, and Th17.1 cells, in various autoimmune diseases. These cells are characterized by the chemokine receptor CCR6, RORC expression and production of IL-17A, IFNγ, and TNFα. Using rheumatoid arthritis (RA) as a model of autoimmune disease, we here demonstrate that pro-inflammatory memory CCR6+ Th cells can switch into anti-inflammatory cells with regulatory capacity using the active vitamin D metabolite 1,25(OH)2D3. Memory CCR6+ Th cells, excluding Tregs, were sorted from healthy controls or treatment-naïve patients with early rheumatoid arthritis (RA) and cultured with or without 1,25(OH)2D3. Treatment with 1,25(OH)2D3 inhibited pro-inflammatory cytokines such as IL-17A, IL-17F, IL-22 and IFNγ in memory CCR6+ Th cells from both healthy controls and RA patients. This was accompanied by induction of anti-inflammatory factors, including IL-10 and CTLA4. Interestingly, these formerly pathogenic cells suppressed proliferation of autologous CD3+ T cells similar to classical Tregs. Importantly, the modulated memory cells still migrated toward inflammatory milieus in vitro, modeled by RA synovial fluid, and retained their suppressive capacity in this environment. These data show the potential to reset the pathogenic profile of human memory Th cells into non-pathogenic cells with regulatory capacity.
The Interaction of Klebsiella pneumoniae With Lipid Rafts-Associated Cholesterol Increases Macrophage-Mediated Phagocytosis Due to Down Regulation of the Capsule Polysaccharide

Klebsiella pneumoniae successfully colonizes host tissues by recognizing and interacting with cholesterol present on membrane-associated lipid rafts. In this study, we evaluated the role of cholesterol in the expression of capsule polysaccharide genes of K. pneumoniae and its implication in resistance to phagocytosis. Our data revealed that exogenous cholesterol added to K. pneumoniae increases macrophage-mediated phagocytosis. To explain this event, the expression of capsular galF, wzi, and manC genes was determined in the presence of cholesterol. Down-regulation of these capsular genes occurred leading to increased susceptibility to phagocytosis by macrophages. In contrast, depletion of cholesterol from macrophage membranes led to enhanced expression of galF, wzi, and manC genes and to capsule production resulting in resistance to macrophage-mediated phagocytosis. Cholesterol-mediated repression of capsular genes was dependent on the RcsA and H-NS global regulators. Finally, cholesterol also down-regulated the expression of genes responsible for LPS core oligosaccharides production and OMPs. Our results suggest that cholesterol plays an important role for the host by reducing the anti-phagocytic properties of the K. pneumoniae capsule facilitating bacterial engulfment by macrophages during the bacteria-eukaryotic cell interaction mediated by lipid rafts.
DigEuLit: Concepts and Tools for Digital Literacy Development

Abstract In the e-permeated society, a society also increasingly unpredictable and uncertain, “digital literacy” becomes not only a key factor in enabling participation in education, as well as employment and other aspects of social life, but also a means of gaining some understanding of the world. The DigEuLit project, funded by the EC eLearning Initiative, has a task of defining digital literacy and developing a framework and tools for digital literacy development in European educational settings. We have observed converging literacies which have gained new relevance in digital environments, and proposed a definition of digital literacy which focuses on the processes of using digital tools to support the achievement of goals in the individual’s life-situation. A suite of online tools is being developed to enable digital literacy progress to be tracked by teachers and learners, and evolution of these tools will continue beyond the life of the project.