Miracle-dz/UniFAR-FTUs huggingface dataset:
Methanisation du Lactoserum à La Ferme

La gestion du lactoserum pur issu de la transformation fromagere fermiere est une preoccupation pour les producteurs. En effet, sa charge organique elevee en fait un effluent fortement polluant. Le lactoserum, melange aux eaux blanches, represente a lui seul 80% de la charge polluante des rejets. La methanisation de ce substrat est une alternative interessante aux procedes de gestion/traitement deja existants. Outre l'aspect epuratoire, elle permet de valoriser une source de matiere organique facilement disponible en energie renouvelable, par la production de biogaz. Cette etude a eu pour but de participer a la mise au point d'un procede efficace, rustique, simple d'utilisation, financierement abordable et adapte aux dimensionnements necessairement reduits des ateliers fermiers. L'etude experimentale a ete menee sur un micro-pilote d'1m 3 a lit de boues granulaires, de type infiniment melange. Les premiers resultats experimentaux font etat d'un bon fonctionnement a un niveau de charge de 6 kg DCO/m 3 /jour correspondant a 90L de lactoserum, selon une modalite d'apport tres fractionnee sur 24h. Le rendement en methane a atteint plus de 95% du potentiel theorique. En termes de performances epuratoires 80 a 90% de la DCO entrante sont abattus, reduisant alors largement l'impact du rejet en termes de pollution. Les resultats de l'augmentation de charge de 6 a 8 kg DCO/m 3 /jour denotent d'un moins bon fonctionnement general et soulevent la question du maintien de la biomasse microbienne dans le digesteur pour assurer des performances optimales. La mise en place de supports favorisant la formation de biofilms bacteriens a l'interieur du digesteur semble une reponse a cette difficulte. La deuxieme partie de l'essai a consiste a utiliser comme substrat du lactoserum dilue. Ces premiers essais laissent a penser a une amelioration possible dans le fonctionnement et la stabilite du process. Des essais complementaires demandent a etre conduits avant d'envisager un developpement aupres des producteurs. L'attente des producteurs fermiers en la matiere est importante: disposer de techniques permettant de concilier la diminution des rejets et la production d'energie a la ferme.
Vectorization of Polygon Rendering for Off-line Visualization of a Large Scale Structural Analysis with ADVENTURE System on the Earth Simulator

Using ADVENTURE system, a 3-D structural analysis of a very large scale problem can be per- formed on supercomputers such as the Earth Simulator (ES). However, the data size of the analysis results also becomes huge. We developed an off-line visualizer for visualization of a huge scale 3-D structural analy- sis on ES. The off-line visualizer performs rendering of surface patch triangles to produce image files of deformation plot and stress contour plot. It is vectorized. The vectorization scheme of its polygon rendering using a look-up table is explained in detail, and its performance evaluation on ES is carried out. It is also demonstrated that a 3-D structural analysis over 200 millions DOFs can be visualized efficiently using our off-line visualizer.
Development and application of a clothed thermoregulatory model

Mathematical models of human thermoregulation can be used to assess the habitability of thermal environments prior to human exposure. Work continues to improve the performance of these models to reduce concerns surrounding the accuracy of their predictions. The aims of this thesis were to develop an existing thermoregulatory model (LUT25-node model). The developments made to the LUT25-node model, now enable it to predict the thermal responses of heat acclimated subjects of differing size, while its clothing model was improved to consider the addition and distribution of clothing properties. Validations of these modifications, confirmed that predictions from the model were improved. The thesis also looks at practical applications of the LUT25-node model. This included a modification to the model enabling backward modelling; predicting how the thermal stress should be altered to achieve a desired limit of thermal strain. Several hypothetical scenarios illustrated the practical applications of this modification. In addition, the LUT25-node model was used to explain the initial drop in deep body temperature at the onset of exercise. This investigation concluded that the temperature drop is due to the return of cool blood to the body core from initially cool working muscles. Finally, the poor predictions of the LUT25-node model for cold exposures was investigated. Previous investigators suspected that this was due to the limited number of thermal layers in the body segments of the model. However, predictions from a multi-layered LUT25-node model, developed with the finite volume software package PHOENICS, suggest that increasing the number of thermal layers reduces the accuracy of the model's predictions for cold exposures. In conclusion, this thesis has contributed to the continued development of a human thermoregulatory model and illustrated its practical benefits. It is recommended that future work centres on addressing additional limitations of the LUT25-node model identified in this study.
Meta-Analysis Using Bayesian Hierarchical Models in Organizational Behavior

META-ANALYSIS USING BAYESIAN HIERARCHICAL MODELS IN ORGANIZATIONAL BEHAVIOR Michael D Ulrich Department of Statistics Master of Science Meta-analysis is a tool used to combine the results from multiple studies into one comprehensive analysis. First developed in the 1970s, meta-analysis is a major statistical method in academic, medical, business, and industrial research. There are three traditional ways in which a meta-analysis is conducted: fixed or random effects, and using an empirical Bayesian approach. Derivations for conducting metaanalysis on correlations in the industrial psychology and organizational behavior (OB) discipline were reviewed by Hunter and Schmidt (2004). In this approach, Hunter and Schmidt propose an empirical Bayesian analysis where the results from previous studies are used as a prior. This approach is still widely used in OB despite recent advances in Bayesian methodology. This paper presents the results of a hierarchical Bayesian model for conducting meta-analysis of correlations and then compares these results to a traditional Hunter-Schmidt analysis conducted by Judge et al. (2001). In our approach we treat the correlations from previous studies as a likelihood, and present a prior distribution for correlations.
A Constructional Approach to Resultatives

Providing a unified solution within the frameworks of construction grammar and frame semantics, Hans Boas develops an account of resultative constructions in English by grouping them in two classes: conventionalized and non-conventionalized. The usage-based model employed here proposes that each particular sense of a verb constitutes a conventionalized mini-construction, which is crucial information for the licensing of arguments. In contrast, verbs in non-conventionalized resultative constructions can acquire a novel meaning and thereby a new syntactic frame. English and German resultatives are compared to illustrate the distinct lexical polysemy networks of English and German verbs.
Diagnosis of Oral Cancer using Genetic Programming

Genetic Programming is a relatively new technique for the automatic discovery of computer programs which offer solutions to complex problems. It is being applied to an ever increasing number of application areas with good results. This report presents some introductory work on a classification problem. The Genetic Programming technique is used to evolve programs which are able to diagnose oral cancer and pre-cancer in a sample of patients. Real data on the habits and lifestyles of patients is used to train and test the system. Despite inconsistencies in the input data, and a low proportion of positive samples, the evolved programs make accurate predictions and compete favourably with a previous neural network implementation of this problem. Diagnosis of Oral Cancer using Genetic Programming 2
Large Deviations For Performance Analysis: Queues, Communication and Computing

What this is, and what it is not Large deviations of random variables General principles Random walks, branching processes Poisson and related processes Large deviation for processes Freidlin-Wentzell theory Boundary theory Allocating independent subtasks Parallel algorithms: rollback Accelerated simulation the M/M/1 queue The Flatto-Hahn-Wright model Erlang's model The Anick-Mitra-Sondhi model ALOHA Priority queues Flatto's models Analysis and Probability Discrete-space markov processes Calculus of variations Large deviations techniques.
Robustness estimation of self-sensing active magnetic bearings via system identification

Due to their frictionless operation active magnetic bearings (AMBs) are essential components in high-speed rotating machinery. Active magnetic control of a high speed rotating rotor requires precise knowledge of its position. Self-sensing endeavours to eliminate the required position sensors by deducing the rotor’s position from the voltages and currents with which it is levitated. For self-sensing AMBs to be of practical worth, they have to be robust. Robustness analysis aims to quantify a control system’s tolerance for uncertainty. In this study the stability margin of a two degree-of-freedom self-sensing AMB is estimated by means of μ-analysis. Detailed black-box models are developed for the main subsystems in the AMB by means of discrete-time system identification. Suitable excitation signals are generated for system identification in cognisance of frequency induced nonlinear behaviour of the AMB. Novel graphs that characterize an AMB’s behaviour for input signals of different amplitudes and frequency content are quite useful in this regard. In order to obtain models for dynamic uncertainty in the various subsystems (namely the power amplifier, self-sensing module and AMB plant), the identified models are combined to form a closed-loop model for the self-sensing AMB. The response of this closed-loop model is compared to the original AMB’s response and models for the dynamic uncertainty are empirically deduced. Finally, the system’s stability margin for the modelled uncertainty is estimated by means of μ-analysis. The potentially destabilizing effects of parametric uncertainty in the controller coefficients as well as dynamic uncertainty in the AMB plant and self-sensing module are examined. The resultant μ-analyses show that selfsensing AMBs are much less robust for parametric uncertainty in the controller than AMBs equipped with sensors. The μ-analyses for dynamic uncertainty confirm that self-sensing AMBs are rather sensitive for variations in the plant or the self-sensing algorithm. Validation of the stability margins estimated by μ-analysis reveal that μ-analysis is overoptimistic for parametric uncertainty on the controller and conservative for dynamic uncertainty. (Validation is performed by means of Monte Carlo simulations.) The accuracy of μ-analysis is critically dependent on the accuracy of the uncertainty model and the degree to which the system is linear or not. If either of these conditions are violated, μ-analysis is essentially worthless.
Towards a framework for a code review process

This paper describes a longitudinal study of a Code Review Process (CRP) which used an action research method. The CRP was used as one of the assessment methods in a third year (Level 7) undergraduate Web Application Development (WAD) course. This paper reviews the past three cycles of the study in order to get a deeper understanding of the issues. To address the issues more effectively and better meet the students’ needs, the existing CRP is refined to develop a code review framework. The paper discusses different options and proposes a framework consisting of five components. To implement the framework, the course assessment scheme needs to be redesigned. Initially, the framework should be implemented in the same course. If successful, there is a potential to revise the framework and introduce it into similar courses at Levels 5, 6 and 8.
Observational Measurement of Behavior

Like any other research tool, observational methods can be misused. Professors Yoder and Symons have put together a textbook that introduces graduate students to the competent conduct of observational research methods and measurement. Their approach embraces both single-subject and group-design perspectives of observational methods, instructing students when and how to use both methodologies. In addition, the authors include many practical exercises within chapters as well as a CD Rom that includes media files of an observation session to code with multiple behavior sampling methods.
A Review of Technology Integration in ELT: From CALL to MALL

Bu calisma Ingilizce ogretiminin teknoloji ile bagdastirilmasinin farkli yonlerine iliskin genel bir cerceve cizmektedir. Calismada, CALL’ dan (Bilgisayar Destekli Dil Ogrenimi) baslayarak MALL (Mobil Destekli Dil Ogrenimi) ve ilgili unsurlar ekseninde, cesitli yaygin teknolojik enstrumanlar, uygulama ve yaklasimlar ozetlenmektedir. Calisma genel anlamiyla dil siniflarini ogretmen merkezli ve kitap gudumlu olmaktan ogrenci merkezli ve daha etkilesimli bir ortama donusturen modern bilgi ve iletisim teknolojilerinin Ingilizce ogretimini nasil sekillendirdigini gozler onune sermektedir. Butun bu gelismelere ragmen, Ingilizceyi ikinci ya da yabanci dil olarak ogrenmek icin teknolojinin tek basina yeterli olmadigi bu calismada ifade edilmistir. Teknolojinin yabanci dil pedagojisine entegrasyonu, gorece saglam bir kuramsal cerceveden yoksundur, ve bu konuda kuram ve uygulamanin uyumlu bir sekilde islemesini saglamak gerekmektedir. Calismanin sonucunda, yenilikci bir bicimde bilgi ve iletisim teknolojilerini uyarlamada ve egitim durumlarina en uygun olan secimleri yapmada asil sorumlularin pedagoglar oldugu ifade edilmistir.
Multiteam Systems : An Organization Form for Dynamic and Complex Environments

A.P. Brief, Series Foreword. S. Zaccaro, Preface. Part 1. Introduction. S. Zaccaro, M. Marks, L.A. DeChurch, Multiteam Systems: An Introduction. M. Marks, D. Luvison, Product Launch and Strategic Alliance Multiteam Systems. G. Goodwin, P.J.M.D. Essens, D.G. Smith, Multiteam Systems in the Public Sector. Part 2. Compositional Attributes. R. Kanfer, M. Kerry, Motivation in Multiteam Systems. S. Connaughton, E.A. Williams, M.L. Shuffler, Social Identity Issues in Multiteam Systems. M. Boyer O'Leary, A. Williams Woolley, M. Mortensen, Multiteam Membership in Relation to Multiteam Systems. J. Keyton, D.J. Ford, F.L. Smith, Communication, Collaboration, and Identification as Facilitators and Constraints of Multiteam Systems. Part 3. Linkages. M.S. Poole, N. Contractor, Conceptualizing the Multiteam System as an Ecosystem of Networked Groups. J.R. Rentsch, M.J. Staniewicz, Cognitive Similiarity Configurations in Multiteam Systems. S. Zaccaro, L.A. DeChurch, Leadership Forms and Function in Multiteam Systems. V.B. Hinsz, K.R. Betts, Conflict in Multiple Team Situations. R.B. Davison, J.R. Hollenbeck, Boundary Spanning in the Domain of Multiteam Systems. Part 4. Development. S. Uitdewilligen, M.J. Waller, Adaptation in Multiteam Systems: The Role of Temporal Semi-Structures. R.L. Standifer, The Emergence of Temporal Coordination within Multiteam Systems. Part 5. Methods and Conclusion. J.R. Aiken, P. Hanges, Research Methodology for Studying Dynamic Multiteam Systems: Application of Complexity Science. C. Coen, A. Schnackenberg, Complex Systems Methods for Studying Multiteam Systems. C. Resick, C.S. Burke, D. Doty, Multiteam Research in Laboratory Settings: A Look at the Technical and Practical Challenges. J. Mathieu, Reflections on the Multiteam Concept and Thoughts for the Future.
Feminist interventions on the sex/gender question in neuroimaging research

This paper contributes to this field first by reviewing some outstanding issues pertaining to the question of sex/gender in the human brain, with a special focus on neuroimaging data; second by proposing several methodological interventions for more accurately interrogating sex/gender differences; and third by applying these interventions to an examination of similarities and differences between women and men in major white matter tracts using diffusion MRI (dMRI) data from a publicly available neuroimaging dataset. The interventions we describe and apply here include running empirical tests of randomization control and permutation analyses to protect against false positives, calculating measures of both difference (i.e., effect size) and overlap/similarity between groups, and reporting null results. Lastly, we discuss our findings and implications for study design with the aim to create a template for greater transparency in sex/gender neuroscience.
Power Scaling: the Ultimate Obstacle to 1K-Core Chips

As Moore’s Law continues for at least another decade, the number of cores on chip and the on-chip cache size will continue to grow at an exponential rate. While workloads with limited parallelism pose performance challenges with multicore processors, server workloads with abundant parallelism are believed to be immune, capable of scaling to the parallelism available in the hardware. However, despite the inherent scalability in threaded server workloads, increasing core counts cannot directly translate into performance improvements because chips are physically constrained in power and off-chip bandwidth. In this work, we explore the design space of physically-constrained multicore chips across technologies and show that, even with conservative estimates, chips will not scale beyond a few tens of cores due to physical power and off-chip bandwidth constraints, potentially leaving the die real-estate underutilized in future technology generations. We observe that customized heterogenous multicores can leverage die area to overcome the initial power barrier, resulting in bandwidth constrained designs. Overcoming the bandwidth wall, e.g. through the use of large multi-gigabyte 3D-stacked caches, fully exposes multicore designs to the power wall, requiring innovation in low-power interconnects and on-chip hierarchies to further improve the performance of future servers.
Learner strategies for learner autonomy : planning and implementing learner training for language learners

This work aims to encourage teachers to identify and develop their students' capacity for becoming autonomous learners. It outlines procedures for diagnosing language learners' ability as self-sufficient learners and gives guidelines for using tasks and classroom contexts to encourage such learning. A reference for classroom teachers and curriculum developers, its applications should have relevance in the areas of second language learning, EFL and ESL.
Methodology of fuzzy usability evaluation of Information systems in Public administration

This paper suggests methodology of usability evaluation of information systems in public administration based on fuzzy logic theory. The first part of this paper is devoted to the problem formulation. The following parts of this paper formulate the methodology of usability evaluation aimed to public administration information systems. The authors introduce new ways how to evaluate the user interface with help of vague terms. Fuzzy Usability Evaluator - an application that is able to operate with the vague nature of evaluating is also introduced.
Experience and processing of relative clauses in German

A number of different theoretical proposals aim to explain this asymmetry. For example, according to King and Just (1991), the processing of object RCs requires greater working memory than the processing of subject RCs (see also Gibson, 1998). For school-aged children, Booth, MacWhinney, and Harasaki (2000) found that children with greater short-term memory capacity tend to process object RCs more efficiently than children with comparatively lower short-term-memory capacity. Alternatively, MacWhinney and Pleh (1988) suggested that processing object RCs is difficult because this sentence type requires multiple shifts in perspective. In the current study we focus on explanations that identify experience with different word orders within and across constructions as a potential explanation of sentence difficulty. Diessel and Tomasello (2005) suggested that Englishand German-speaking children have less difficulty comprehending and producing subject RCs because these sentences have the same basic word order as simple transitive sentences, which children frequently encounter (see also Bever, 1970). That is, in both subject RCs and simple transitives the subject precedes the object. In object RCs, on the other hand, the object precedes the subject. In English, this OS word order only appears in object RCs and some cleft
Environmental Regulation and International Trade: Empirical Results for Germany, the Netherlands and the US, 1977-1992

Abstract We empirically investigate the responsiveness of international trade to the stringency of environmental regulation. Stringent environmental regulation may impair the export competitiveness of dirty domestic industries, and as a result, pollution havens emerge in countries where environmental regulation is relatively less stringent. We examine the impact of pollution abatement and control costs on net exports in order to grasp this phenomenon. Theoretically, our analysis is related to a general equilibrium model of trade and pollution nesting the pollution haven motive for trade with the factor endowment motive. We analyze data on two-digit ISIC manufacturing industries during the period 19771992 in Germany, the Netherlands and the US, and show that trade patterns in dirty commodities are jointly determined by relative factor endowments and environmental stringency differentials.
A Handbook for Teacher Research: From Design to Implementation

An introduction to teacher researchTeacher research as systematic inquiryThree kinds of teacher researchProblems, purposes, and design in teacher researchProducing clear and manageable research questionsInforming and framing teacher research projectsQuantitative inquiry and teacher researchTeacher research as 'scholarly' inquiryCollecting spoken data in qualitative researchCollecting observed data in qualitative researchCollecting written data in qualitative researchAnalysing spoken data in qualitative researchAnalysing observed data in qualitative researchAnalysing written data in qualitative researchInterpretation, representation and validity in teacher researchEthics in teacher researchGlossaryBibliographyIndex.
Automated Identification of Relative Clauses in Child Language Samples

AUTOMATED IDENTIFICATION OF RELATIVE CLAUSES IN CHILD LANGUAGE SAMPLES Hali Anne Michaelis Department of Communication Disorders Master of Science Previously existing computer analysis programs have been unable to correctly identify many complex syntactic structures thus requiring further manual analysis by the clinician. Complex structures, including the relative clause, are of interest in child language samples due to the difference in development between children with and without language impairment. The purpose of this study was to assess the comparability of results from a new automated program, Cx, to results from manual identification of relative clauses. On language samples from 10 children with language impairment (LI), 10 language matched peers (LA), and 10 chronologically age matched peers (CA), a computerized analysis based on probabilities of sequences of grammatical markers agreed with a manual analysis with a Kappa of 0.88.