Miracle-dz/UniFAR-FTUs huggingface dataset:
Web content outlier mining: motivation, framework, and algorithms

Data that differ significantly from the norm are considered outliers. Finding outliers from huge data repositories is akin to finding needles in a haystack. Even more challenging is searching for outliers from Web data repositories. The presence of outliers at every data repository cannot be denied in the data mining community of which the Web is not an exception. However, there is neither a formal definition nor known algorithms for mining Web outliers. Secondly, existing outlier mining algorithms designed solely for numeric data cannot be applied directly to mine outliers from Web datasets which contain data of different types (i.e., text, hypertext, video, audio, images, etc.). The thesis establishes the presence of outliers on the Web and provides motivation for mining them. It provides a taxonomy for Web outliers that supports the development of content specific algorithms for mining Web outliers. The thesis discusses a general framework for mining Web outliers but concentrates on designing models for mining Web content outliers. Three algorithms for mining Web content outliers are proposed. The WCOW-Mine algorithm is based on full keyword matching whereas WCON-Mine algorithm uses character n-grams for partial matching of strings. The third algorithm, HyCOQ, uses a hybrid of keywords and n-grams. With slight modifications all three algorithms can either use a domain dictionary or not. The HyCOQ algorithm eliminates the weaknesses in n-gram-based and keyword-based systems. The experimental results reveal all the algorithms are capable of finding Web content outliers. Further, HyCOQ shows huge improvements in accuracy over WCON-Mine and WCOW-Mine with embedded motifs. The results also show irrespective of the algorithm, mining Web content outliers without domain dictionary is more efficient than using one.
Genetic Resources of Kiwifruit: Domestication and Breeding

1 Horticultural Reviews, Volume 33, Edited by Jules Janick ISBN 978-0-471-73214-3 © 2007 John Wiley & Sons, Inc. *I thank R. A. Martin and A. G. Seal for reading parts of the manuscript, F. A. Gunson and I. J. Warrington for editing the entire manuscript, S. Cookson for preparing Fig. 1.1, and B. Shaw and M. Heffer for preparing the plates. The preparation of this review was supported in part by the NZ Foundation for Science Research and Technology C06X0006.
Full utilization of communication resources

Many important scientific computations can be decomposed into iterative tasks with regular, structured data dependencies. The orchestration of tens of thousands of processors to jointly solve these problems requires mapping the data dependencies to the processor interconnection network. In this thesis we compare candidate networks in terms of both their ability to maintain locality of data for common dependence graphs and their efficiency in using physical resources. Classic graph embeddings fail to exploit physical resources of interconnection networks. For example, the binary reflected gray code uses only a small fraction of the edges of the hypercube. Consequently, there is poor utilization of pins on the chip periphery--a critical resource. By ignoring physical constraints the classic embeddings waste resources and unfairly bias comparisons between networks. This thesis shows how to use multiple-path and multiple-copy embeddings to efficiently utilize the pin resources of the hypercube while simulating meshes, trees, and FFT-like graphs. These results show that when comparisons are made in a pin-constrained model the hypercube is still capable of efficient simulations. The techniques used for hypercubes are generalized and applied to k-ary n-cubes. The effect of wire length on network performance is also explored and it is shown that a moderate number of additional pins can reduce the effect of wire delay on tree networks but not on hypercube networks.
Upper extremity ischemia in athletes: Embolism from the injured posterior circumflex humeral artery

Upper extremity ischemia in athletes is caused by embolism from the proximal arterial compromise at the thoracic outlet or under the pectoralis minor. The posterior circumflex humeral artery (PCHA), a branch of the third part of the axillary artery, can also be injured by repetitive overhead activity including the tennis or volleyball game, resulting in aneurysm formation or thrombotic occlusion, and this lesion could be a source of distal embolism. We report two patients with complaints of hand and forearm ischemia due to distal embolism from the aneurysm in one patient and thrombotic occlusion of the PCHA in the other. The former was a 20-year-old amateur tennis player. Angiography revealed an aneurysm of the PCHA and multiple distal embolism. He was treated by resection of the aneurysm and thromboendarterectomy with vein patchplasty of the occluded ulnar artery. Five years after surgery now, he can enjoy playing tennis without new embolic events, although he still has mild ischemic symptoms during playing tennis. The latter was a 17-year-old volleyball player. Angiography showed thrombotic occlusion of the PCHA and embolic occlusion of the digital arteries. Surgical intervention was not required because he decided not to play volleyball. Two years later now, he has had no new episodes of embolism, although he has ischemic symptoms only when cold.
Detección del trastorno depresivo mayor en atención primaria. Una revisión

Antecedentes : El trastorno depresivo mayor (TDM) es una enfermedad frecuente en la poblacion general y una de las principales causas de discapacidad en el mundo. La distincion entre los cambios que normalmente ocurren en el estado del animo y aquellos que estan presentes en el espectro de los trastornos depresivos no es una tarea facil, por esta razon se han propuestos varios mecanismos e instrumentos para mejorar la deteccion de este trastornos en la consulta de atencion primaria. Objetivos : Evaluar si la deteccion sistematica rutinaria con instrumentos de tamizaje, con o sin sistemas de seguimiento y manejo integrado, es mas efectiva que la atencion usual en identificar pacientes con depresion, facilitar su tratamiento, y mejorar los resultados clinicos, a nivel de la atencion primaria. Material y Metodos : Para determinar la utilidad del tamizaje sistematico para depresion a nivel de atencion primaria, se llevo a cabo una busqueda de estudios de casos y controles, cohortes y controlados aleatorizados, revisiones sistematicas, y meta-analisis, en las bases de datos MEDLINE, Base de datos de revisiones sistematicas Cochrane, Registro central de estudios controlados Cochrane, PsycINFO, y EMBASE, desde enero de 1976 hasta el 30 de abril de 2013. Resultados : La evidencia existente mostro que muchos casos de depresion no son detectados. Los medicos de atencion primaria (MAP) logran tasas de deteccion del trastorno depresivo entre el 30% y 40% (rango 7-70%), sin utilizar herramientas adicionales para el diagnostico como las escalas de una, dos y tres preguntas. Los pacientes con los cuadros menos severos y mas jovenes son los menos detectados. Conclusiones : La evidencia encontrada muestra que el tamizaje para depresion a nivel de atencion primaria con retroalimentacion del resultado puede incrementar el reconocimiento del trastorno por parte del MAP. Sin embargo, el efecto de la retroalimentacion sobre el tratamiento y los resultados en cuanto a mejoria del cuadro clinico o remision es muy pobre, a menos que sea realizada en presencia de otros sistemas o grupos de apoyo que permitan asegurar el diagnostico exacto, el tratamiento y el seguimiento de los pacientes cuyo resultado sea positivo. El apoyo consiste en algun tipo de atencion directa del paciente deprimido, manejo de caso, apoyo en el cuidado y seguimiento, y tratamiento por un especialista en salud mental, entre otros.
Effects of Action Learning Approaches on Learning Outcomes in Nursing Management Courses

Purpose: The purpose of this study was to identify effects of action learning approaches on learning outcomes of students taking nursing management courses. Methods: The questionnaire surveys were completed between March 2011 and June 2012 by 109 undergraduate seniors in the nursing department of C University. Survey data were obtained 3 times: before, in and after the study of nursing management. The course consisted of lectures and clinical practices. Learning outcomes were measured through problem solving skills, team efficacy, and class satisfaction. Collected data were analyzed using repeated measures ANOVA with the SPSS 20.0 program Results: Scores for problem solving skills (F=13.67, p<.001) and team efficacy (F=4.49, p=.012) showed statistically significant increases after the course. The scores also increased significantly after the lectures for 5 of 9 problem solving skill subscales: analysis skill, divergent thinking, decision making, assessment, feedback, and after the clinical practices for 2 subscales: divergent thinking, and execution and risk taking. Class satisfaction score also increased after both the lectures and the clinical practices. Conclusion: The findings from this study suggest that an action learning approaches for nursing management courses would be a useful teaching and learning method to achieve learning outcomes.
Does IT architecture matter

In the last two decades, many research articles have been published about outsourcing and in recent years, some research articles have been written about IT architecture [1, 2, 3, 4]. Separate research on outsourcing and IT architectures could not shed light if IT architecture maturity has any impact on outsourcing. This research article is based on the core IS capabilities framework of Feeny and Willcocks (1998). In their framework, the authors proposed that IS core capabilities are retained, enhanced and maintained by three most important constructs. These are ‘business and IT vision’, ‘IT architecture’ and ‘outsourcing’. It is very logical to agree unanimously that ‘business and IT’ vision construct is the nucleus of any IT based modern organization. Through literature review and analysis, this article will make in depth study of the proposed framework by Feeny and Willcocks, to find its relevance and validity after a decade and will address the following questions. Are ‘IT architecture’ and ‘outsourcing’ relevant and valid constructs? Are these two constructs in any way linked to each other? The focus of this article is, in general, on the IT technologies and in particular, on the IT architecture maturity. A good combination of this two should enhance the positive outcomes from outsourcing with out loosing the core competencies.
Motor driving apparatus

The present invention, regardless of the resonance frequency of the actuator, to shorten the convergence time until the vibration is converged, Of the target current signal, the digital signal representing a target value of the drive current supplied to the voice coil motor for driving the actuator, an analog to a digital filter and an output signal of said digital filter to attenuate a frequency band including the resonance frequency of the actuator converting into a signal, and the digital-analog converter to output a current control signal, according to the current control signal having a drive circuit for supplying the driving current to the voice coil motor.
Examining technology integration in middle school STEAM units

ABSTRACT This research draws on a longitudinal study in which middle school math and science teachers enacted STEAM (science, technology, engineering, art and mathematics) teaching in their classroom after participating in intensive STEAM professional development aimed at increasing effective STEAM teaching. The authors address one important aspect in STEAM teaching, technology integration practices of teachers during instruction, and theorise their work using connected learning theory. Qualitative case study is used to identify and describe technology integration themes which emerged during STEAM instruction. Results suggest 17 of the 21 teachers participating in the study demonstrated technology integration involving one or more areas of instructional approaches, assessment and student use. The research expands what we know about how technology can be integrated in STEAM instruction and suggests ways to capitalise on technology to broaden access and appeal to all students during STEAM instruction.
Investigation of the Risk Factors of Diabetic Neuropathy in terms of Pain, Sleep and Quality of Life

Purpose: Neuropathy is one of the most common complications of diabetes mellitus and affects the quality of life. The aim of this study was to investigate the risk factors in terms of sleep, pain and quality of life and associated symptoms for diabetic neuropathy. Methods: Two hundred and seventy-six individuals with diabetes mellitus were included the study, and divided into two groups randomly according to having neuropathy or not. Physical and clinical characteristics were recorded. Pain intensity, social and working life quality, and complaint of non-restorative sleep were assessed by Visual Analogue Scale. The Mann Whitney U test and independent samples t-test were used to analyze time-dependent changes. Non-time-dependent changes were analyzed by the chi-square test. Logistic regression was done for analyzing the multiple risk factors in the groups. Results: There were not significant differences between the groups for the following characteristics: age, gender, smoking habit, alcohol consumption, type of diabetes, body mass index (p> 0.05). Duration of disease (p=0.007), pain intensity (p< 0.001), complaint of non-restorative sleep (p=0.046) were higher, social and working life quality (p= 0.038) were lower in neuropathic patients. Discussion: Duration of disease as a potential risk factor, pain intensity, sleeping complaints and quality of life as the most complained symptoms for diabetic neuropathy should be taken into account for prevention, early detection, and appropriate treatment.
Spatial visualization of abstract information: a classification model for visual design guidelines in the digital domain

Visualization of abstract information refers to the design of graphical representations of information that has no simple relation to known concrete or physical forms. Designing visualizations of abstract information requires proposing visual representation for often a large body of data points, determining a meaningful structure for the complex relations among them and suggesting a method for interacting with this body of data. Spatial perception plays an important role for cognitive processing when interacting with abstract information, since spatiallyorganized information can be accessed and operated on rapidly and effortlessly, especially when a spatial arrangement reveals the conceptual organization of information. This thesis focuses on aspects of the spatial visual design of abstract information presented as computer-generated, dynamic and interactive images accessible through flat displays. The process of spatial visualization design is shaped by various factors including interactive, perceptual, navigational as weil as organizational and metaphorical aspects and as such requires an interdisciplinary approach. Therefore, in researching spatial visual design, it is crucial to use methods facilitating the process of sharing competencies among different disciplines. In this thesis, we introduce a new c1assification model accommodating features important in designing effective spatial visualizations of abstract information. To enhance the effectiveness of spatial visualization, this model offers a holistic approach in c1assifying spatial visualization features. As part of the model, we analyze properties already used in architectural representation and other visual design disciplines for spatial presentations as weil as investigate their potential usage in digital domains of abstract information. The process of spatial visualization in the digital environment is mostly based on the practical experience of a designer, and therefore the majority of spatial design know-how is heuristic in nature. Based on this assumption, we present a set of guidelines addressing the general problem of spatial design. The Spatial Design Classification Model, Visual Spatial Properties and Spatial Design Guidelines build an extendable infrastructure which becomes a first step towards augmenting the quality of spatial information design. We propose to use this infrastructure as a general blueprint for structuring the exchange of expertise in interdisciplinary problem-solving processes.
Plan Recognition: Achievements, Problems, and Prospects

Suppose that someone asked you for the location of the Federal Express ooce and subsequently asked about the availability of delivery outside the country. You might reasonably infer that he or she wanted to quickly get an item to someone in another country and intended to do this using Federal Express for delivery. In doing so, you had inferred the goals of the other person and a portion of that person's plan for achieving those goals. This is often referred to as plan recognition. Plan recognition has been used extensively in a wide variety of computer systems. Applications include language understanding and response generationnAP80, PA80, LA87, Car90b, SB92, SHB95, HS96], speech-to-speech translationnAle95], interfaces for computer-aided designnGL92], UNIX help systemssMay92], collabora-tive problem-solvinggLRS99], and automated descriptions of image sequencessRS91]. One might ask whether plan recognition is performed by humans or is just an artifact of use in computer systems. Research by Schmidt, Sridharan, and GoodsonnSSG78] provides evidence that humans do in fact infer the plans of other agents. They performed experiments in which human subjects were presented with sequences of actions by another agent and were asked to summarize their observations and predict subsequent actions. The subjects' summarizations generally included one or more goals attributed to the observed agent, with the agent's actions explained in terms of how they contributed to achieving that goal. Moreover, the summaries indicated that the subjects had used the inferred plan to predict the agent's subsequent actions. This psychological research, along with an experiment by Cohen, Perrault, and AllennCPA81], provide evidence that humans do infer the goals and plans of other agents and use these hypotheses in subsequent reasoning. Plan recognition can be characterized according to the role of the agent whose plan is being inferred. Keyhole recognitionCSSvB91] is the recognition of an agent's plan through unobtrusive observation | that is, the agent does not attempt to impact the recognition process. This kind of recognition is performed by help systems that generate unsolicited adviceeSF82, Fin83]. But might an agent attempt to perform actions that will aid or hinder the recognition of his plan? The former situation has been actively studied in language understanding, where the system (in order to respond appropriately to a speaker's utterances) must recognize the plan that the speaker intends to convey; this is referred to as intended recognitionCSSvB91]. The latter situation is representative of adversarial settings, such as warfare, where an agent might …
Comparative Study of Gait Gender Identification using Gait Energy Image (GEI) and Gait Information Image (GII)

Identifying gender from the pedestrian video is one crucial key to study demographics in such areas. With current video surveillance technology, identifying gender from a distance is possible. This research proposed the utilization of computer vision to identify gender based on their walking gait. The data feature used to determine gender based on their walking gait divided into five parts, namely the head, chest, back, waist & buttocks, and legs. Two different methods are used to perform the real-time gender gait recognition process, i.e., Gait Energy Image (GEI) and Gait Information Image (GII), while the Support Vector Machine (SVM) method used as the data classifier. The experimental results show that the process of identifying gender based on walking with GEI method is 55% accuracy and GII method is 60% accuracy. From these results, it can conclude that the method GII with SVM classifier has the best accuracy in the process of gender classification
Practical Radiotherapy Planning

This fourth edition encompasses a wealth of new material, reflecting the radical change in the practice of radiotherapy in recent years. The information contained within the introductory chapters has been expanded and brought up to date, and a new chapter on patient management has been added. CT stimulators, MLC shieldings and dose profiles, principles of IMRT, and use of MRI, PET and ultrasound are all included, amongst other new developments in this field.
Recurrent RBF networks for suspension system modeling and wear diagnosis of a damper

From the beginning of the nineties, artificial neural networks began to be used for the identification and control of nonlinear systems. Thus, new types of nets appeared permitting to model the behaviour of dynamical systems. These recurrent networks extend the range of engineering applications and emerged as new powerful architectures. Besides, local models like RBFN (or neuro-fuzzy structures) provide an interesting alternative to the more classical MLP since information is naturally localized within some nodes and not distributed amongst all the nodes. Accordingly, this paper is concerned with the use of recurrent RBFN for modeling and identifying dynamical systems within the framework of an output error approach. Details of the implementation are given for the parametric as well as for the structural optimization. An application to the modeling of a vehicle suspension system is dealt with, intending to provide a wear diagnosis for the damper element. A quarter-vehicle model is developed and the wear phenomena are expressed in the shape of an hysteresis effect. Simulated results are given from data produced by dampers in good and bad conditions.
Aproveitamento da casca de melancia (Curcubita citrullus, Shrad ) na produção artesanal de doces alternativos*

A melancia, botanicamente classificada como Curcubita citrullus , Shrad e originaria da India. Devido ao seu alto teor de agua, e ideal para ser consurnida no periodo de calor intenso, mais propriamente no verao. Por ser um fruto que produz consideravel quantidade de residuos nao comestiveis, o presente trabalho objetivou aproveitar as cascas da melancia para a producao artesanal de doces alternativos. Os resultados mostraram que os doces cremosos e em calda com e sem adicao de coco, obtiveram excelente aceitabilidade entre os consumidores adultos e criancas. PALAVRAS-CHAVE: Melancia; cascas; doces crernosos; doces em calda.
Qualitative methods for health research

PART ONE: PRINCIPLES AND APPROACHES IN QUALITATIVE HEALTH RESEARCH Qualitative Methodology and Health Research Developing Qualitative Research Designs Responsibilities, Ethics and Values PART TWO: GENERATING DATA In-Depth Interviews Group Interviews Observational Methods Physical and Virtual Documentary Sources PART THREE: MANAGING AND ANALYSING DATA Beginning Data Analysis Developing Qualitative Analysis PART 4 QUALITATIVE RESEARCH IN PRACTICE Reading, Appraising and Integrating Qualitative Research Mixing Methods and Designs Writing Up and Disseminating