Miracle-dz/UniFAR-FTUs huggingface dataset:
Academic Language/Literacy Strategies for Adolescents: A "How-To" Manual for Educators

FOREWORD PREFACE ACKNOWLEDGEMENTS CHAPTER 1 BACKGROUND A short history of the term "Academic Language" Instruction from an Academic Language perspective Why should we teach Academic Language? How this book can help CHAPTER 2 MOTIVATION The importance of motivation Research on student motivation Setting a purpose for learning: The anticipatory set Active learning and hands-on activities Modeling and guided practice CHAPTER 3 ATTRIBUTES OF ACADEMIC LANGUAGE Receptive and expressive language Application of receptive and expressive strategies Professional input and feedback for Academic Language literacy Instruction CHAPTER 4 VOCABULARY: THEORY AND PRACTICE Developing vocabulary Learning and acquisition: The importance of multiple exposures Cognates, root words, and affixes Contextualizing vocabulary Personalizing and operationalizing vocabulary Strategies for teaching vocabulary Specific activities/techniques A sample lesson Summary CHAPTER 5 READING SKILLS DEVELOPMENT Importance of reading in the content areas Research on reading and reading comprehension Literacy and reading Content literacy Expository vs. narrative text The phases of reading: Reading into, through, and beyond Strategies for getting students "INTO" reading "Into" activities Strategies for getting students "THROUGH" reading "Through" activities Strategies for getting students "BEYOND" reading Integrated activities Sample lesson Geometry proofs Summary CHAPTER 6 GRAMMAR & WRITING The importance of grammar to language acquisition How should grammar be taught? Brick and mortar words Why should content area teachers teach grammar? Writing and Academic Language literacy The relationship between verbal and written language Student writing skills Building the academic register for writing Assessing writing in order to develop writing skills Writing: "Into, through and beyond" Activities that develop writing skills Sample lesson: Three search paper on the Holocaust Summary CHAPTER 7 SUMMING UP GLOSSARY APPENDIX 1 Expressive and Receptive Language Strategies and Model Lesson Plan Format APPENDIX 2 Sample Lesson Plans Including Expressive and Receptive language Prompts Sample Lesson Plan 2.1 Sentence analysis and rephrasing (Earth Science) Sample Lesson Plan 2.2 Using the text (Algebra) Sample Lesson Plan 2.3 Classifying the elements (Chemistry) Sample Lesson Plan 2.4 Using a science notebook (General Science) Sample Lesson Plan 2.5 Stem-and-leaf plots (Graphing) APPENDIX 3 Sample Lesson Plans Without Expressive and Receptive Language Prompts Sample Lesson Plan 3.1: Unit Analysis (Math and Science) Sample Lesson Plan 3.2: Word Problems(Math) Sample Lesson Plan 3.3: Scientific Method (General Science/Biology) Sample Lesson Plan 3.4: Linear Equalities in 2 Variables (Math) Sample Lesson Plan 3.5: Intro to Relations and Functions (Math) APPENDIX 4 Sample Writing Rubric APPENDIX 5 List of Useful Websites for Math and Science APPENDIX 6 Common Cognates APPENDIX 7 Grammar Handbook REFERENCES
Eficiencia en la cosecha manual de follaje de moté (Erythrina americana Miller)

El moté (Erythrina americana) es un árbol caducifolio considerado como especie multiusos de la familia Fabaceae; está ampliamente distribuido en la región tropical de México, y por su contenido de proteína cruda y carbohidratos estructurales en las hojas, se ha convertido en un recurso atractivo como complemento alimenticio para pequeños rumiantes como los ovinos. Sin embargo, existen pocos estudios relativos a la eficiencia en la cosecha manual de follaje en plantaciones que no han recibido manejo previo. Por lo tanto, se llevó a cabo un estudio durante la época climática de nortes, en el que se siguió un diseño completamente al azar, para conocer la influencia del técnico-cosechador sobre la eficiencia de cosecha de follaje de E. americana. De este material se determinaron materia seca, cenizas, materia orgánica, proteína cruda, fibra detergente neutro y fibra detergente ácido. Las variables evaluadas fueron: follaje y ramas cosechadas (kg) en una y tres h (en base húmeda y seca), relación follaje ramas-1 y proteína cruda. Los resultados indican una amplia variación en la cosecha de follaje (41 % de CV), pero el técnico-cosechador no afectó (p>0.05) ninguna de las variables estudiadas. En cercos vivos de E. americana sin manejo previo de poda, este agente no tuvo ningún efecto.
Visuohaptic Simulation of a Borescope for Aircraft Engine Inspection

Consisting of a long, fiberoptic probe containing a small CCD camera controlled by handheld articulation interface, a video borescope is used for remote visual inspection of hard to reach components in an aircraft. The knowledge and psychomotor skills, specifically the hand-eye coordination, required for effective inspection are hard to acquire through limited exposure to the borescope in aviation maintenance schools. Inexperienced aircraft maintenance technicians gain proficiency through repeated hands-on learning in the workplace along a steep learning curve while transitioning from the classroom to the workforce. Using an iterative process combined with focused user evaluations, this dissertation details the design, implementation and evaluation of a novel visuohaptic simulator for training novice aircraft maintenance technicians in the task of engine inspection using a borescope. First, we describe the development of the visual components of the simulator, along with the acquisition and modeling of a representative model of a PT-6 aircraft engine. Subjective assessments with both expert and novice aircraft maintenance engineers evaluated the visual realism and the control interfaces of the simulator. In addition to visual feedback, probe contact feedback is provided through a specially designed custom haptic interface that simulates tip contact forces as the virtual probe intersects with the 3D model surfaces of the engine. Compared to other haptic interfaces, the custom design is unique in that it is inexpensive and uses a real borescope probe to simulate camera insertion and withdrawal. User evaluation of this simulator with probe tip feedback suggested a trend of improved performance with haptic feedback. Next, we describe the development of a physically-based camera model for improved behavioral realism of the simulator. Unlike a point-based camera, the enhanced camera model simulates the interaction of the borescope probe, including multiple points of contact along the length of the probe. We present visual comparisons of a real probe’s motion with the simulated probe model and develop a simple algorithm for computing the resultant contact forces. User evaluation comparing our custom haptic device with two commonly available haptic devices, the Phantom Omni and the Novint Falcon, suggests that the improved
History as Fiction: D. M. Thomas’s The White Hotel as an Example of Historiographic Metafiction

D. M. Thomas’in Beyaz Otel (1981) adli romani 1941’de “Babi Yar” katliaminda acimasizca katledilen Lisa Erdman’in kisisel tarihini anlatir. Bu makalenin amaci, D. M. Thomas’in Beyaz Otel romaninda tarihi nasil kullandigini analiz etmek ve bu romanin tarihe, tarihin betimlenmesine iliskin temel kaygisinin ne oldugunu tartismaktir. Boyle bir analizi yapmak icin Linda Hutcheon’in ufuk acici bir eseri olan A Poetics of Postmodernism: History, Theory, Fiction (1988)’daki argumanlarindan faydalanilacaktir. Hutcheon bu eserinde, geleneksel tarih yazimi paradigmalarini sorgulayan, postmodern romanlari da icine alan bir kategori olan “tarih yazimci ustkurmaca”nin ozelliklerini aciklar. Bu makale, tarihi bir olay olan Yahudi Soykirimi ile ilgilenen Beyaz Otel ’in geleneksel tarih, tasvir bicimlerini deneysel bir sekilde ele aldigini tartisir. Linda Hutcheon’in savlari dogrultusunda bu calisma, Beyaz Otel ’in ustkurmaca ozellikleri dolayisiyla geleneksel tarih yaziminin dayandigi tum metodlarin ve tekniklerinin yapi sokumunu yaptigini iddia eder. Beyaz Otel ’in kurgu ve gercegi ic ice gecirmesi, oznellik kavraminin geleneksel algilanis bicimini sorunsallastirmasi, acik bir bicimde farkli edebi tarzlari ve usluplari kendini yansitan bir sekilde kullanmasi, geleneksel olmayan bir olay oruntu yapisini ise kosmasi gibi ozelliklerin onun tarih yazimci ustkurmaca’nin bir ornegi olarak tanimlanmasina katki saglar. Butun bu deneysel tekniklerin ise kosulmasi ise okuyucuyu kacinilmaz olarak bu tekniklerin islevlerini, romanin yazim surecini ve daha genel boyutta ise tarih yazim surecini dusunmeye iter
Theory and Practice: Essays presented to Gene Weltfish

Thank you very much for downloading theory and practice essays presented to gene weltfish. Maybe you have knowledge that, people have search numerous times for their favorite readings like this theory and practice essays presented to gene weltfish, but end up in harmful downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they juggled with some malicious virus inside their computer.
Touch as the act of signification: Naming as a key design concept for gesturally intuitive interactive space

The act of naming, where sign and the signified are coupled as an act of touching, establishes the foundations for the meaningful use of language. The computer, a language machine, possesses the capacity to input sensory data from the physical environment where signification occurs. To design a computationally extended sensory environment with intuitive gestural interaction will necessarily then have touch as a foundational factor. The universal element in such systems is language; the specific is the context of place, a space where the significating action of touch occurs.
Model extensions and applications in mathematical imaging.

MODEL EXTENSIONS AND APPLICATIONS IN MATHEMATICAL IMAGING John Marion Cochran May 9,2009 Mathematical imaging consists of many different applications including image segmentation, image classification, and inpainting. This work deals more specifically with image segmentation: the partition of an image into the background and the objects present in the image. The main focus is the active contours without gradient model by Tony Chan and Luminita Vese which deals with fitting a curve imbedded in the plane image. The fitting of the curve comes from an evolutionary partial differential equation. The dissertation contributes three novel ideas: a linearized version of the active contours without gradient model published in [20]; a new procedure using fourth order fitting terms in place of the second order fitting terms which gives faster segmentation and may be used to provide a good initial condition; a novel way of tracking regions present in bulk data in order to gain an understanding of macroscopic details associated with some physical application. Results include images showing the accuracy of the segmentation for the methods, a discussion of the choice of initial condition, and discussion of feasibility for the data tracking. These results compare to those obtained with the nonlinear model and serve as a proof-of-concept for further investigation. The dissertation ends with a discussion of future research.
Optimal fault-tolerant robotic manipulators

This thesis addresses “Optimal Fault-Tolerant Robotic Manipulators” for locked-joint failures and consists of three components. It begins by investigating the regions of workspace where the manipulator can operate with high reliability. It then continues with an efficient deployment of kinematic redundancies for fault-tolerant operation. Finally, it presents a novel method for design of optimal fault-tolerant manipulators.
SophiaBeads Dataset Project Codes

The initial release of the codes, to be used for the SophiaBeads Dataset Project. The codes are essential to work with the SophiaBeads Dataset. The release contains scripts for loading the dataset, pre-reconstruction steps, and a reconstruction algorithm (cgls_XTek) as a template. More information about this release can be found on the GitHub project page. SophiaBeads Dataset Project: https://zenodo.org/record/16474
T-Spline Simplification

T-SPLINE SIMPLIFICATION David L. Cardon Department of Computer Science Master of Science This work focuses on generating approximations of complex T-spline surfaces with similar but less complex T-splines. Two approaches to simplifying T-splines are proposed: a bottom-up approach that iteratively refines an over-simple T-spline to approximate a complex one, and a top-down approach that evaluates existing control points for removal in producing an approximations. This thesis develops and compares the two simplification methods, determining the simplification tasks to which each is best suited. In addition, this thesis documents supporting developments made to T-spline research as simplification was developed.
Slow coherency grouping based islanding using minimal cutsets and generator coherency index tracing using the continuation method

Power systems are under increasing stress as deregulation introduces several new economic objectives for operation. Since power systems are being operated close to their limits, weak connections, unexpected events, hidden failures in protection system, human errors, and a host of other factors may cause a system to lose stability and even lead to catastrophic failure. Therefore, the need for a systematic study and design of a comprehensive system control strategy is gaining more attention. Among these control methods, controlled system islanding is deemed as the final resort to save the system from a blackout. In the literature, many approaches have been proposed to undertake this task. However, some of these approaches only take static power flow into consideration; others require a great deal of computational effort. It has been observed that following large disturbances, groups of generators tend to swing together. Attention has thus been drawn to the stability of inter-area oscillations between groups of machines. The slow-coherency based generator grouping, which has been widely studied in the literature, provides a potential method for capturing the movement of generators between groups under disturbance. The issue becomes on how to take advantage of slow coherency generator grouping and island the system by finding the set of lines to be tripped. Furthermore, through various simulations and analysis, it has been found that generator grouping indeed changes with respect to large changes in system load conditions. In this dissertation, a comprehensive approach has been proposed to conduct slow coherency based controlled power system islanding using the minimal cutset technique from graph theory with the transition from calculating real power imbalance within the island to calculating the net flow through the cutset. Furthermore, a novel approach has been
Übersetzung : ein internationales Handbuch zur Übersetzungsforschung

This international encyclopedia documents and surveys, for the first time, the entire complex of translation as well as the operations and phenomena associated with it. Structured along systematic, historical and geographic lines, it offers a comprehensive and critical account of the current state of knowledge and of international research. The Encyclopedia (1) offers an overview of the different types and branches of translation studies; (2) covers translation phenomena - including the entire range of interlingual, intralingual, and intersemiotic transfer and transformation - in their social, material, linguistic, intellectual, and cultural diversity from diachronic, synchronic, and systematic perspectives, (3) documents and elucidates the most important results of the study of translation to the present day, as well as the current debates, taking into account theoretical assumptions and methodological implications; (4) identifies, where possible, lacunae in existing research, listing priorities and desiderata for further research. The languages of publication are German, English, and French.
Human-assisted Parallel Multi-target Visiting in a Connected Topology

One major benefit of a multi-robot system over a group of many single robots is the ability to cooperate together towards a common objective by sharing information in a decentralized way. In a successful multi-robot system, a complex mission is typically parallelized through several small tasks which, when treated all together, lead to overall task completion. For a human operator in control of the group of robots, it is quite challenging to perform these tasks for each single robot at the same time. Therefore one is generally interested in methods that provide as much autonomy as possible. Many multi-robot applications require a successive visiting of a certain number of locations in their workspace as, e.g., exploration, surveillance, large-scale medical supply or search and rescue. These targets can be either known beforehand, or generated while execution. In this latter case, assume that a black-box target generator provides online a list of targets for each robot. The problem is then to design a decentralized and fully autonomous feedback controller that lets the robots sequentially visit all the assigned targets and to remain close to them for a given duration for fulfilling local objectives at the target locations. Depending on the complexity of the task at the current target, a human assistance can be of great advantage to get the job at the target properly done. This arises the need for a method that lets a human operator take control of a single robot in the moment where it is near its target and where full automation does not lead to the desired outcome. Different strategies have been proposed in the literature in order to achieve and maintain a communication network among the cooperating robots. In [1] exploration with a fixed topology method is given, while [2] uses the concept of periodical connectivity. We aimed for a method that could allow a time-varying topology while guaranteeing continual connectivity in order to have more flexibility and the possibility to establish a communication channel among any two robots at all times. For this reason we built our solution upon the framework described in [3]. The main challenge in combining a continual connectivity maintenance method with an exploration algorithm is that the robots have to visit their targets in parallel without getting stuck in ‘local minima’ (such as becoming blocked by obstacles or by concurrent but incompatible sub-tasks).
Sistema de visão e laser para percepção em ambientes subaquáticos

The process of exploring underwater environment using computer vision is still a complex problem. Most common, vision systems are usually based on stereo vision approaches. However, these approaches suffer from limitations that are increased in underwater operation environments, where there is poor illumination and water disturbances. Therefore, the solution lies on using alternative or complementary sources of sensory information to the vision system. This work proposes the development of a laser vision system by using a camera and a laser with a line beam, where the structured light projector is used as information source. In a vision system, one important step is always related with the system calibration. Our calibration solution is divided into two steps. The first step concerns the camera calibration, where the intrinsic and extrinsic parameters for the camera are computed. The second step defines the relation between the camera and the laser. One of the main challenges of this the thesis was to address the overall system calibration. Therefore, a calibration method that requires at least two frames of a chessboard in different perspectives was developed. The proposed method was characterized and validated in dry and underwater environments. The obtained results show that the system is accurate and the depth error is significantly small (<1 mm) even in the presence of a small stereo baseline.
Fast hash -based algorithms for analyzing large collections of evolutionary trees

Fast Hash-based Algorithms for Analyzing Large Collections of Evolutionary Trees. (December 2009) Seung Jin Sul, B.S., Dongguk University; M.S., Dongguk University Chair of Advisory Committee: Dr. Tiffani L. Williams Phylogenetic analysis can produce easily tens of thousands of equally plausible evolutionary trees. Consensus trees and topological distance matrices are often used to summarize the evolutionary relationships among the trees of interest. However, current approaches are not designed to analyze very large tree collections. In this thesis, we present two fast algorithms— HashCS and HashRF —for analyzing large collections of evolutionary trees based on a novel hash table data structure, which provides a convenient and fast approach to store and access the bipartition information collected from the tree collections. Our HashCS algorithm is a fast O(nt) technique for constructing consensus trees, where n is the number of taxa and t is the number of trees. By reprocessing the bipartition information in our hash table, HashCS constructs strict and majority consensus trees. In addition to a consensus algorithm, we design a fast topological distance algorithm called HashRF to compute the t× t Robinson-Foulds distance matrix, which requires O(nt) running time. A RF distance matrix provides plenty of data-mining opportunities to help researchers understand the evolutionary relationships contained in their collection of trees. We also introduce a series of extensions based on HashRF to provide researchers with more convenient set of tools for analyzing their trees. We provide extensive experimentation regarding the practical performance of our hash-
Behavior based mobile robot navigation by AI techniques: behavior selection and resolving behavior conflicts using Alpha level fuzzy inference system

paper, problems associated with mobile robot navigation are investigated and a new methodology is established to resolve the problems. The issue investigated is the behavior rule selection when more than one action of the same type is present during mobile robot navigation and the methodology proposed is the Alpha level fuzzy logic system. In this investigation an action selection or decision-making procedure incorporating Alpha level fuzzy logic is established and used for selecting an appropriate action during mobile robot navigation. This methodology also presents the mathematical aspects of resolving conflicts when more than one context rule of the same kind is in action. In the present approach, the operational strategies of the human expert driver are transferred via fuzzy logic to the robot navigation in the form of a set of simple conditional statements composed of linguistic variables. These linguistic variables are well defined by Alpha level fuzzy sets with user defined membership functions. The main advantage of the Alpha level fuzzy logic navigation strategy is the ability to extract heuristic rule from human experience and to obviate the need for an analytical model of the process. Simulation and Real world experiment results are presented based on the real life situation.