Miracle-dz/UniFAR-FTUs huggingface dataset:
After Life: An Ethnographic Novel

Bruna Verissimo, a youth from the hardscrabble streets of Recife, in northeast Brazil, spoke with Tobias Hecht over the course of many years, reliving her early childhood in a raging and destitute home, her initiation into the world of prostitution at a time when her contemporaries had scarcely started school, and her coming of age against all odds. Hecht had originally intended to write a biography of Verissimo. But with interviews ultimately spanning a decade, he couldn't ignore that much of what he had been told wasn't, strictly speaking, true. In Verissimo's recounting of her life, a sister who had never been born died tragically, while the very same rape that shattered the body and mind of an acquaintance occurred a second time, only with a different victim and several years later. At night, with the anthropologist's tape recorder in hand, she became her own ethnographer, inventing informants, interviewing herself, and answering in distinct voices. With truth impossible to disentangle from invention, Hecht followed the lead of Verissimo, his would-be informant, creating characters, rendering a tale that didn't happen but that might have, probing at what it means to translate a life into words. A call and response of truth and invention, mental illness and yearning, "After Life" is a tribute to and reinterpretation of the Latin American testimonio genre. Desire, melancholy, longing, regret, and the hunger to live beyond the confines of past and future meet in this debut novel by Tobias Hecht.
Macropipelining based heterogeneous multiprocessor scheduling

High performance multiprocessing systems have been increasingly using heterogeneous digital signal processors (DSPs) for overall systems gain. Scheduling a DSP algorithm on such a system must address issues of interprocessor communication as well as parallelism extraction for optimal throughput. These issues have been extensively examined for multiprocessor systems incorporating homogeneous processors. A heterogeneous macropipelined scheduling scheme has been described which addresses the aforementioned communication and parallelization issues. The advantage of resorting to a heterogeneous scheme in specific cases is illustrated with examples. <<ETX>>
Tissue volume determinations from brain MRI images: a phantom study

In order to measure the accuracy of volume determinations of brain tissues from MRI images, a number of phantoms simulating these tissues were constructed and imaged in a clinical imager operating at 1.5 T. Method consisted of measuring signals from pure tissues and volume of interest and then solving the equations for partial volume. Comparisons of the results obtained from the images with the true volumes in the phantom yielded accuracies (rms) which ranged from 1.6% for a simple phantom to 6.7% for more complex but realistic phantoms.
Buffer Overflow Vulnerability Detection based on Format-Matching on Source Level

Buffer overflow has become the most common software vulnerability, which seriously restricts the development of the software industry. It’s very essential t o find out an effective method to detect this kind of software bugs accurately. In this paper, we design an improved buffer overflow detection system. At first, our system preprocesses the source code to add some auxiliary detection symbols. Then, it scans the source code by a static detector, which uses the identifier for auxiliary detection and combines with a dynamic detection method to improve the recognition accuracy and detection capability. Finally, we make a comparison between our system and the original detection system. To assess the usefulness of this approach, several experiments are performed on a simulation system, and we can draw a conclusion that our system performs better than other detection software. The method proposed in this paper is of the important application value and can improve
Optimisation de la mémoire et de la consommation des systèmes multimédia embarqués

L'evolution des techniques et des outils de compilation logicielle et de synthese automatique de materiels permet maintenant de concevoir de maniere conjointe ( Codesign) des systemes electroniques integres sur une seule puce de silicium, appeles « System on Chip ». Ces systemes dans leurs versions embarquees doivent repondre a des contraintes specifiques de place, de vitesse et de consommation. De plus, les capacites sans cesse croissantes de ces systemes permettent aujourd'hui de developper des applications complexes comme les applications multimedia. Les applications multimedia travaillent, entre autres, sur des images et des signaux de grande taille; elles generent de gros besoins en place memoire et des transferts de donnees volumineux, traites par des boucles imbriquees. Il faut donc se concentrer sur l'optimisation de la memoire lors de la conception de telles applications dans le monde de l'embarque. Deux moyens d'action sont generalement mis en œuvre : le choix des architectures (hierarchies memoire et memoires caches) et l'adequation du code decrivant l'application avec l'architecture generee. Nous developperons ce second axe d'optimisation de la memoire et comment transformer automatiquement le code de l'application, en particulier les boucles, pour minimiser les transferts de donnees (grands consommateurs d'energie) et la place memoire (grande utilisatrice de surface et d'energie).
Facial recognition based on a 3D model that was built from an insufficient training set

Many facial recognition algorithms exist, but many of them have a problem with an insufficient training set. A new method of facial recognition is proposed in this paper, which relies on the information that was acquired using a 3D model of the head, which allows to expand the training set. The proposed algorithm uses control points that are placed on the image of the face and model, to determine the class that the image belongs to.
Durability for Memory-Based Key-Value Stores

The emergence of multicore architecture as well as larger, less expensive RAM has made it possible to leverage the performance superiority of main memory for large databases. Increasingly, large scale applications demanding high performance have also made RAM an appealing candidate for primary storage. However, conventional DRAM is volatile, meaning that hardware or software crashes result in the loss of data. The existing solutions to this, such as write-ahead logging and replication, result in either partial loss of data or significant performance reduction. We propose an approach to provide durability to memory databases, with a negligible overhead and a low probability of data loss. We exploit known techniques such as chain replication, write-ahead logging and sequential writes to disk to provide durability while maintaining the high throughput and the low latency of main memory.
Quantitative Data Analysis In Education A Critical Introduction Using Spss

Thank you very much for downloading quantitative data analysis in education a critical introduction using spss. Maybe you have knowledge that, people have search numerous times for their favorite novels like this quantitative data analysis in education a critical introduction using spss, but end up in infectious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they juggled with some malicious bugs inside their laptop.
The use of Kinesiology Taping in physiotherapy practice: a systematic review of the literature

Wojciech Kiebzak, Ireneusz M.Kowalski, Mariusz Pawłowski, Jakub Gąsior, Katarzyna Zaborowska-Sapeta, Olga Wolska, Zbigniew Śliwiński 1 Wy dział Na uk o Zdro wiu, Uni wer sy tet Hu ma ni stycz no -Przy rod ni czy Ja na Ko cha now skie go, Kiel ce 2 Od dział Fi zjo te ra pii, Wo je wódz ki Spe cja li stycz ny Szpi tal Dzie cię cy, Kiel ce 3 Za kład Re ha bi li ta cji, Wy dział Na uk Me dycz nych, Uni wer sy tet War miń sko -Ma zur ski, Olsz tyn 4 Wy dział Re ha bi li ta cji, Aka de mia Wy cho wa nia Fi zycz ne go Jó ze fa Pił sud skie go, War sza wa 5 Stu denc kie Ko ło Na uko we Fi zjo te ra pii, War szaw ski Uni wer sy tet Me dycz ny 6 Cen trum Me dycz no Re ha bi li ta cyj ne Krio so nik, War sza wa 1 Fa cul ty of He alth Scien ces, The Jan Ko cha now ski Uni ver si ty of Jan Ko cha now ski, Kiel ce 2 De part ment of Phy sio the ra py, Chil dren’s Ho spi tal, Kiel ce 3 De part ment of Re ha bi li ta tion, Fa cul ty of Me di cal Scien ces, Uni ver si ty of War mia and Ma zu ry, Olsz tyn 4 Di vi sion of Re ha bi li ta tion, Jó zef Pił sud ski Uni ver si ty of Phy si cal Edu ca tion, War saw 5 Stu dent Scien ti fic So cie ty at Di vi sion of Re ha bi li ta tion, Me di cal Uni ver si ty of War saw 6 Me di cal and Re ha bi li ta tion Cen ter Krio so nik, War saw, Po land
Medical Image Segmentation Using Mean Shift Algorithm and General Edge Detection

Abstract The segmentation of the medical image faces the challenges of the existence of large number of diverse structures of human anatomy and inevitable artifacts induced from the imaging procedure. In this paper we treat some structures and artifacts as general edge features, and introduce the edge information into the mean shift segmentation algorithm in both clustering and the fusion steps. Considering the medical images as two dimensional signals, the general edge can be detected and described with its local spatial frequency properties. The segmentation results show the improvement in preserving the completeness of details while sketching the overall structures.
Duration of watching TV and child language development in young children

Background Many factors contribute to language development in children. About 5-8% of children in Indonesia experience delayed language skills. Young children need appropriate stimulation for optimal development. Children who watch television (TV) for long periods of time may receive less two-way interaction, the appropriate stimulation for learning. As such, shorter duration of the appropriate stimulation may impede language development in small children. Objective To assess for an association between duration of watching TV and language development in young children. Methods This cross-sectional study was done with primary data collected from questionnaires. Subjects, aged 18 months to 3 years, were from a Jakarta-area community health center ( Puskesmas ) Jatinegara and the Pediatric Growth and Development Clinic, Cipto Mangunkusumo Hospital, Jakarta. Their language development was tested using the Developmental Pre-screening Questionnaire ( Kuesioner Pra Skrining Perkembangan, KPSP) and the Early Language Milestone (ELM Scale 2) test. Results From a total of 84 subjects, 47 (56%) had normal and 37 (44%) had delayed language development. Duration of watching TV was categorized as 4 hours per day. Children who watched TV >4 hours/day (OR 4.4; 95%CI 1.68 to 11.7; P=0.002), and children who watched both Indonesian and English language TV programs (OR 14.7; 95%CI 1.77 to 123.0; P=0.004) had higher risk of language delay. Other variables such as sex, first age exposed to TV, use of gadgets, and TV in the bedroom had no significant associations with delayed language development. Conclusion Children who watch TV >4 hours/day had four times higher risk of developing language delay. In addition, those who watch TV programs in both Indonesian and English, also have a 14.7 higher risk of delayed language development.
The Child Soldiers Project: Employing a Project-Based Learning and Teaching Curriculum

In recent years, project-based learning and teaching (PBLT) has received a great deal of attention from educators around the world and is now establishing its place in the language learning classroom, as a means of providing a more realistic setting for learning. However, PBLT can be difficult to implement in the Asian context due to the focus on more traditional teaching methods which emphasize exams. This paper introduces the Child Soldiers Project created for a Japanese high school classroom by focusing on the steps involved in the curriculum design. Using various concepts drawn from curriculum design, content-based learning, and learner autonomy, the rationale for each step is discussed. Finally, the Child Soldiers Project is placed within a PBLT framework, and a case made for its efficacy. Although not a new approach to language learning, project-based learning and teaching (PBLT) has only received recognition as an effective educational pedagogy in the last twenty years (Beckett, 2006). A unified, concise definition is difficult, and it is generally described in terms of characteristics (Beckett, 2006; Stoller, 2006). For the purposes of this paper, the following eight characteristics were considered, based on Stoller (2006): PBLT should 1) maintain a focus on the project content, 2) consist of a series of manageable tasks, progressing in complexity and structured to provide opportunities to recycle knowledge and skills, 3) allow students to make some of their own choices throughout the project, 4) stimulate students’ interest, 5) afford each student the opportunity to contribute equally and to use their individual skills during group work, 6) ensure all students take responsibility and are held accountable for their work, 7) include activities which focus on form, as well as skills practice throughout the project, 8) provide students with continuous feedback and opportunities for reflection. This paper adds to the body of work on PBLT by introducing the Child Soldiers Project, implemented in a Japanese high school class. It demonstrates the successful implementation of a project in a language classroom, based on PBLT principles. The steps outlined maximize the development of students’ skills. Specific language learning targets are not set; instead, overall fluency and general academic skills are developed. Following a brief literature review and a description of the classroom context, the framework for the project design is introduced and each step is presented in detail. Finally, the paper discusses how the project satisfied the conditions for successful PBLT. Language Education in Asia, 2013, 4(2), 163-174. http://dx.doi. org/10.5746/LEiA/13/V4/I2/A06/Cusen
Collaborative Filtering Recommendation in the Implication Field

Abstract—In the age of information explosion today, the Recommender systems have become increasingly important and popular in supporting human decision-making problems. In the Recommender Systems, Collaborative filtering is one of the most popular and effective techniques available today in the recommender system. However, most of them use symmetric similarity measures. Therefore, the default effect and the role of the pair of users are the same, but in practice this may not be true. In this paper, we propose a method new approach in building the collaborative filtering recommender system in the implication field, uses the asymmetry measures to rank and filter the information to improve accurate precision of the traditional recommender systems.
USING DSM TO GENERATE DATABASE SCHEMA AND DATA MANAGEMENT

Current technologies based on DSM allow creating modeling tools on any domain. In the field of economics and business management these tools are invaluable part especially in the area of business process modeling. Created models, however, are not able to work with enterprise data due to the variable structure and they cannot perform analysis or simulations. This paper focuses on the use of DSM generator to create a database based on the created model. Along the database the environment enabling easy handling of corporate data is generated.
Remembering future tasks: a usability study of reminder apps

i! Declaration of Originality . ii! Acknowledgements . iii! List of Tables . vii! List of Figures . viii! Chapter 1: Introduction . 1! 1.1 Aim and Approach . 2! 1.2 Structure of Thesis . 2! Chapter 2: Reminder Apps . 3! 2.1 App Features . 4! 2.1.1 RTM . 4! 2.1.2 RE.minder . 6! 2.1. 3 Todoist . 7! 2.1. 4 Alarmed . 9! 2.1. 5 Any.DO . 11! 2.2 Comparison of Apps . 12! Chapter 3: Usability Testing . 15! 3.1 Interview . 16! 3.2 Co-inquiry . 18! 3.3 Diary Study . 19! 3.4 Observation . 20! 3.5 Drawbacks and Challenges in Current Research and the Utility of the Usability Method in the Current Study . 20! Chapter 4: Methodology . 23! 4.1 Research Objective and Process . 24! 4.1.1 Interviewing Pilot Test . 24! 4.1.2 Co-Inquiry Pilot Test . 25! 4.1. 3 Observation Pilot Test . 25! 4.1. 4 Diary Study Pilot Test . 25! 4.2 Main Methodology . 25! 4.2.1 Combination A . 26! 4.2.2 Combination B . 26! 4.2. 3 Combination C . 26! 4.2. 4 Participants . 26! 4.2. 5 Procedure . 26! 4.2. 6 Data Analysis . 27! 4.3 Reminder Apps Evaluation: Pilot Study . 27! 4.3.1 Procedure . 28! 4.3.2 Interview and Co-inquiry Results . 29! 4.3.3 Observation Result . 29! 4.3.4 Diary Study Result . 30! 4.4 Research Questions . 30!
Automatic face recognition using neural networks

Automatic recognition of individuals is a significant problem in the development of pattern recognition. In this paper, we introduce a simple technique for personal identification of human faces in cluttered scenes based on neural nets. In the detection phase, neural nets are used to test whether a window of 20/spl times/20 pixels contains a face or not. A major difficulty in the learning process comes from the large database required for face/nonface images. We solve this problem by dividing the data into two groups. Such division results in reduction of computational complexity, thus decreasing the time and memory needed during the image test. For the recognition phase, feature measurements are made through Fourier descriptors. Such features are modified to reduce the number of neurons in the hidden layer. Simulation results for the proposed algorithm show good performance compared with previous results.
Bupropion and naltrexone: a review of their use individually and in combination for the treatment of obesity

Background: Bupropion and naltrexone are centrally active drugs that have shown potential efficacy – alone and in combination – for the treatment of obesity. Objective: To explore the efficacy and safety of naltrexone and bupropion alone and in a novel combination drug that utilizes sustained-release (SR) formulations of both drugs and to evaluate their efficacy in promoting weight loss. The mechanisms of action of these centrally acting drugs are discussed. Preclinical and clinical studies of bupropion and naltrexone alone and in combination are reviewed. Results/conclusions: Both bupropion and naltrexone have been shown individually to induce weight loss. Bupropion has greater efficacy as monotherapy. Naltrexone SR potentiates the effects of bupropion SR; thus, this synergistic combination has the potential for additional weight loss compared to monotherapy. Current Phase III trials will yield further safety and efficacy information regarding these drugs in combination.
Elevator control system

The invention discloses an elevator control system. An elevator calling system comprises a camera shooting device, a face identification unit, a data processing unit, a prompting unit and an elevator calling unit. when a passenger needs to take an elevator, the camera shooting device mounted in a proper position on the elevator takes a picture of the face of the passenger and transmits the picture to the face identification unit, the face identification unit compares the face in the picture with an authorized face, and sends out corresponding prompting information according to the result of identification comparison, and the data processing unit sends out an instruction to the elevator calling unit for the passenger who passes the identification, and automatically registers the button of the objective floor of the passenger according to a data storage record.
Path planning for unmanned aerial vehicles using visibility line-based methods

This thesis concerns the development of path planning algorithms for unmanned aerial vehicles (UAVs) to avoid obstacles in two- (2D) and three-dimensional (3D) urban environments based on the visibility graph (VG) method. As VG uses all nodes (vertices) in the environments, it is computationally expensive. The proposed 2D path planning algorithms, on the contrary, select a relatively smaller number of vertices using the so-called base line (BL), thus they are computationally efficient. The computational efficiency of the proposed algorithms is further improved by limiting the BL's length, which results in an even smaller number of vertices. Simulation results have proven that the proposed 2D path planning algorithms are much faster in comparison with the VG and hence are suitable for real time path planning applications. While vertices can be explicitly defined in 2D environments using VG, it is difficult to determine them in 3D as they are infinite in number at each obstacle's border edge. This issue is tackled by using the so-called plane rotation approach in the proposed 3D path planning algorithms where the vertices are the intersection points between a plane rotated by certain angles and obstacles edges. In order to ensure that the 3D path planning algorithms are computationally efficient, the proposed 2D path planning algorithms are applied into them. In addition, a software package using Matlab for 2D and 3D path planning has also been developed. The package is designed to be easy to use as well as user-friendly with step-by-step instructions.
Self-calibration of ultrasonic transducers in an intelligent data acquisition system

The rapid growth of powerful single-chip microcomputers for monitoring and data acquisition applications permits nowadays the design of advanced measuring systems. We present an advanced on-line monitoring configuration in order to improve the performance and extend the lifetime of ultrasonic transducers by applying an automated testing and calibration technique. The operation of this instrumentation system is based on the fast measurement of frequency and amplitude, performed by the proposed configuration. The combination of this information with the time of flight of each pulse-train is then used to derive practically all characteristics of ultrasonic transducers. Due to its low cost and small size, the system can be used either for characterization and classification of transducers, or as a self-testing and automated calibration section within any high performance ultrasonic system
Three-Dimensional Robot Vision

This paper examines the application of the "shape from shading" technique of surface measurement for depth perception and object recognition. An examination of several models for surface shading prediction as applied to scene synthesis is presented. Also discussed is the reverse process of using these surface shading models for image analysis for depth perception. The surface measurements are then used to fit simple surfaces to objects for recognition.
The Golem and the Wondrous Deeds of the Maharal of Prague

This collection of inter-related stories about a sixteenth-century Prague rabbi and the golem he created became an immediate bestseller upon its publication in 1909. So widely popular and influential was Yudl Rosenberg's book, it is no exaggeration to claim that the author transformed the centuries-old understanding of the creature of clay and single-handedly created the myth of the golem as protector of the Jewish people during times of persecution. In addition to translating Rosenberg's classic golem story into English for the first time, Curt Leviant also offers an introduction in which he sets Rosenberg's writing in historical context and discusses the golem legend before and after Rosenberg's contributions. Generous annotations are provided for the curious reader. The book is full of adventures, surprises, romance, suspense, mysticism, Jewish pride, and storytelling at its best. The Chief Rabbi of Prague, known as the Maharal, brings the golem Yossele to life to help the Jews fight false accusations of ritual murder - the infamous blood libel. More human, more capable, and more reliable as a protector than any golem imagined before, Rosenberg's Golem irrevocably changed one of the most widely influential icons of Jewish folklore.