Miracle-dz/UniFAR-FTUs huggingface dataset:
Art-based Modeling and Rendering for Computer Graphics

Over the centuries artists and illustrators have developed techniques to effectively convey visual information. In this dissertation we develop the idea that we can apply these techniques to increase the expressive power of 3D computer graphics. This leads us to seek to build a unified free-form modeling system with which a designer can amplify her skills with pencil and paper to model both the geometry and stylized look of virtual scenes. In part I we first develop algorithms for rendering finely tessellated smooth surfaces in the style of simple line drawings, and at interactive rates. We next develop a procedural texture framework that lets us divide a model into distinct regions, with each rendered according to what it represents (bricks on the walls of a castle, say, but wood planks on the drawbridge). We then use this framework to develop two new classes of rendering algorithms—one class performs simple hatched shading, the other adopts techniques of the children's book illustrator Dr. Seuss (and others) to render fur, grass and trees in a stylized manner. In part II we focus on the problem of modeling a scene's geometry through an interface that leverages an artist's 2D drawing skills. We begin with a new technique for constructing 3D curves from 2D input: The user draws a curve and its shadow as both would appear from given viewpoint, and the system computes the corresponding 3D curve. We next describe new algorithm for computing a free-form surface that smoothly fits over a collection of “primitives” such as generalized cylinders or other “swept” objects. Our intention is to integrate the two techniques so that an artist can quickly sketch such primitives with the help of the first technique, then oversketch them with the second technique to produce the desired free-form surface. The natural next step is to integrate the various parts into a single system for sketching both 3D shapes and the stylized rendering algorithms used to depict them.
Automatic speaker identification by means of Mel cepstrum, wavelets and wavelet packets

The present work consists on the use of delta cepstra coefficients in Mel scale, wavelet and wavelet packet transforms to feed a system for automatic speaker identification based on neural networks. Different alternatives are tested for the classifier based on neural nets, having achieved very good performance for closed groups of speakers in a text independent form. When a single neural net is used for all the speakers, the results decay abruptly with increasing number of speakers to identify. This takes to implement a system where there is one neural net for each speaker, which provided excellent results, compared with the opposing ones in the bibliography using other methods. This classifier structure possesses other advantages, for example, adding a new speaker to the system only requires to train a net for the speaker in question, in contrast with a system where the classifier is formed by a single great net, which should be in general be trained completely again.
Word Sense Disambiguation Based on Lexical and Semantic Features Using Naive Bayes Classifier

Machine translation is considered as a branch of machine intelligence with about fifty years background. Ambiguity of language is the most problematic issue in machine translation systems, which may lead to unclear or wrong translation. One of the problems involved in natural language processing is the semantic and structural ambiguity of the words. The objective of this paper to focused on the word sense disambiguation. In here, the existing algorithms for word sense disambiguation are evaluated and a method which is proposed based on the concept, structure and meaning of the words. The experimental results are promising and indicate that this proposed approach significantly outperform its counterparts in terms of disambiguation accuracy.
Expression der Cyclooxygenase-2 im Mammakarzinom

Cyclooxygenases regulate the production of prostaglandins and play a role in tumor development and progression. COX-inhibitors (NSAIDs) showed a significant reduction of tumor incidence and tumor size in rodent models. In this study, we investigated the prognostic impact of expression of both COXisoforms as well as the association of COX expression and other clinicopathological parameters in primary breast cancer. The expression of COX-1 and –2 was determined by immunohistochemistry retrospectivly in a cohort of 221 women. An elevated expression of COX-2 as the inducible form of the cyclooxygenases was detected in 36% of tumors and was significantly associated with several clinicopathological parameters, for example positive nodal status, poor differentiation and larger tumor size. In contrast, an increased expression of COX-1 was detected in 45% of breast carcinomas and was associated with smaller tumor size and negative nodal status. In univariate survival analysis a significant association between an increased expression of COX-2 and a decreased disease-free survival as well as decreased overall survival was found. An elevated expression of COX-1 had no significant influence on patient prognosis. The data of this study show a prognostic role of COX-2 expression. Further studies on selective COX-2 inhibitors will investigate their role in treatment of patients with breast cancer. breast cancer, cyclooxygenasen, prognostic factor, NSAID
Business research for decision making

Part 1: BUSINESS RESEARCH, KNOWLEDGE MANAGEMENT, AND SCIENTIFIC INQUIRY. 1. Business Research and Decision Making. 2. Information, Research, and Knowledge Management. 3. Scientific Inquiry. Part 2: BEGINNING THE BUSINESS RESEARCH PROCESS. 4. Secondary Data Collection in Business Inquiry. 5. Problem and Proposal Development and Management. Part 3: RESEARCH DESIGN. 6. Fundamentals of Research Design. 7. Foundations of Measurement. 8. Scaling and Instrument Design. 9. Sampling Design. Part 4: PRIMARY DATA COLLECTION (PDC). 10. PDC Using Survey Instruments. 11. PDC Using Observation, In-Depth Interviews, and Other Qualitative Techniques. Part 5: ANALYTICAL PROCEDURES. 12. Planning for Data Analysis. 13. Basic Analytic Methods. 14. Analysis of Variance and Regression Techniques. 15. Advanced Multivariate Analysis. Part 6: RESEARCH REPORTING AND EVALUATION. 16. Ethical Considerations in Business Research. 17. Research Reporting and Evaluation. RESEARCH CASES. Appendix A: A Practitioner? s Guide to Secondary Business Information Sources. Appendix B. Selected Statistical Tables. Index.
Closing Volume in Asymptomatic Asthma1

A single-breath, argon bolus method for measuring the lung volume at which the dependent lung zones ceased to ventilate, i.e., the closing volume, was used to study lung function in a group of 19 patients with asthma during a symptom-free state. the closing volume was measured with the patients in seated and supine positions, together with subdivisions of lung volume, one-second forced expired volume, airway resistance, and specific airway conductance. in 16 patients (84 per cent), the ratio of closing volume to vital capacity was either greater than the normal limits or there was a continuous marked increase in expired argon concentration throughout the expiration, indicating disease of the small airways. in 7 patients (37 per cent), increased closing volume or abnormality of the expired argon concentration trace was the only abnormality detected. Closing volume frequently occurred above functional residual capacity in both sitting and supine positions and could therefore cause arterial hypoxia by produc.
SIMEX R Package for Accelerated Failure Time Models with Covariate Measurement Error

It has been well documented that ignoring measurement error may result in substantially biased estimates in many contexts including linear and nonlinear regressions. For survival data with measurement error in covariates, there has been extensive discussion in the literature with the focus typically centered on proportional hazards models. The impact of measurement error on inference under accelerated failure time models has received relatively little attention, although these models are very useful in survival data analysis. He et al. (2007) discussed accelerated failure time models with error-prone covariates and studied the bias induced by the naive approach of ignoring measurement error in covariates. To adjust for the effects of covariate measurement error, they described a simulation and extrapolation method. This method has theoretical advantages such as robustness to distributional assumptions for error prone covariates. Moreover, this method enjoys simplicity and flexibility for practical use. It is quite appealing to analysts who would like to accommodate covariate measurement error in their analysis. To implement this method, in this paper, we develop an R package for general users. Two data sets arising from clinical trials are employed to illustrate the use of the package.
Nadroparina cálcica: una revisión de su farmacología básica y clínica

Objective: To evaluate critically the evidence on the basic and clinical pharmacology of nadroparin calcium. Data source: We conducted a literature review from October 1985 to September 2010 in the electronic databases: Pubmed, Cochrane, MD Cosult, Medscape, Scielo and Instituto Nacional de Vigilancia de Medicamentos y Alimentos (INVIMA). Study selection: Studies published in English, Spanish or French made in humans and animals for experimentation which reviewed the basic and clinical pharmacology of nadroparin calcium were included. Data extraction and synthesis: 792 abstracts were reviewed by authors and 60 papers were selected that met inclusion criteria according to a standardized method All discrepancies were resolved by discussion and consensus. Conclusion: Some studies have shown that the efficacy of nadroparin calcium is equal or superior to unfractionated heparin (UFH) and placebo, however, the strength of assessed evidence has been insufficient for considering nadroparin calcium superior to other low molecular weight heparins (LMWH). Literature shows that LMWHs therapy is more cost-effective and safer than UFH therapy in general. It does not exist enough, strong and conclusive evidence for considering antithrombotic nadroparin calcium therapy greater to other LMWHs. LMWHs have shown a significant reduction in tumor angiogenesis and increased survival in oncology patients. To conduct further research is necessary to characterize and understand better this new finding.
Analiza hierarchicznych i niehierarchicznych algorytmów grupowania dla dokumentów tekstowych

Streszczenie. Autorzy prezentują wybrane metody grupowania dokumentow tekstowych za pomocą recznie generowanych slow kluczowych. Dokonano porownania hierarchicznych i niehierarchicznych algorytmow grupowania. Zaprezentowano wyniki obu grup algorytmow, uwzgledniając kompletnośc i dokladnośc wyszukiwania. Podejścia sprawdzane są dla tego samego zbioru danych (tematow prac licencjackich).
Molecular effects of low-energy laser irradiation during orthodontic tooth movement

Since orthodontic treatments usually take around 2–3 years, it can be a great burden for both patients and providers. Therefore, shortening the duration of treatment is both desirable and beneficial to the orthodontists as long treatment duration is associated with increased risks of gingival inflammation, decalcification, dental caries, and root resorption. Several novel modalities have been reported to accelerate orthodontic tooth movement including low-level laser therapy, pulsed electromagnetic fields, electrical currents, corticotomy, distraction osteogenesis, and mechanical vibration. Low-level laser therapy (LLLT) is an effective method to prompt wound healing, bone repair, and modeling after surgery. These biostimulatory effects of LLLT have been related to increased fibroblast and osteoblast activities. Similarly, LLLT has been suggested to play a role in accelerated tooth movement. In vivo rat studies have demonstrated that low-level laser irradiation (LLLI) increases osteoclastogenesis on the compression side via stimulation of the receptor activator of nuclear factor-κB (RANK)/RANK ligand (RANKL) and the c-fms/macrophage colony-stimulating factor (M-CSF) during experimental tooth movement. On the tension side, LLLI stimulates bone formation and has been associated with increased expression of type I collagen (COL1), fibronectin (FN), and osteopontin (OPN). Furthermore, In vivo studies have shown that LLLI induces differentiation and activation of osteoblasts and osteoclasts. Therefore, LLLI facilitates the turnover of connective tissues and accelerates the bone remodeling process by stimulating osteoblast and osteoclast proliferation and function during orthodontic tooth movement. This article reviews the current knowledge of the biological effects of laser irradiation and its molecular effect on orthodontic tooth movement.
Laboratory Manual for Anatomy & Physiology, Cat Version

Known for its carefully guided lab activities, accurate art and photo program, and unique practice and review tools that encourage students to draw, label, apply clinical content, and think critically, Wood, Laboratory Manual for Anatomy & Physiology featuring Martini Art, Pig Version, Fifth Edition offers a comprehensive approach to the two-semester A&P laboratory course. The stunning, full-color illustrations are adapted from Martini/Nath/Bartholomew, Fundamentals of Anatomy & Physiology, Ninth Edition, making this lab manual a perfect companion to that textbook for instructors who want lab manual art to match textbook art. The use of the Martini art also makes this lab manual a strong companion to Martini/Ober/Nath, Visual Anatomy & Physiology. This manual can also be used with any other two-semester A&P textbook for those instructors who want students in the lab to see different art from what is in their textbook. This lab manual is available in three versions: Main, Cat, and Pig. The Cat and Pig versions are identical to the Main version but also include nine cat or pig dissection exercises at the back of the lab manual. The Fifth Edition features more visually effective art and abundant opportunities for student practice in the manual. This package contains: Laboratory Manual for Anatomy & Physiology featuring Martini Art, Pig Version, Fifth Edition
Biologically-motivated neural learning in situated systems

We describe the autonomous robot ARBIB. This uses biologically-motivated forms of learning to adapt to its environment. ARBIB'S 'nervous system' has a non-homogeneous population of spiking neurons, and uses both nonassociative and associative forms of learning to modify pre-existing ('hard-wired') reflexes. As a result of interaction with its environment, interesting and 'intelligent' light-seeking and collision-avoidance behaviors emerge which were not pre-programmed into the robot (or 'animat'). These behaviors are similar to those described by other workers who have generally used behaviorally-motivated reinforcement learning rather than biologically-based associative learning. The complexity of observed behavior is remarkable given the extreme simplicity of ARBIB's 'nervous system', having just 33 neurons. We take this to indicate that great potential exists to explore further "the animat path to AI".
İlköğretim Matematik Öğretmeni Adaylarinin Teknolojik Pedagojik Alan Bilgisi Yapilarinin Modellenmesi Modelling Technological Pedagogical Content Knowledge Constructs Of Preservice Elementary Mathematics Teachers

The aim of this study is to test the validity and reliability of the “Technological Pedagogical Content Knowledge” (TPACK) scale, developed by Schmidt et al., (2009) by adapting it to Turkish and equation modeling to examine the relationship between the scale dimensions by structural. The scale obtained after the linguistic equivalence test was applied to 473 undergraduate students at the department of teaching mathematics in primary education. Exploratory and confirmatory factor analyses were conducted in order to review the validity of scale. In addition, in order to investigate the relationship between the scale dimensions of the structural equation model was constructed. The reliability was reviewed through the significance of the difference between the upper and lower 27%- groups and the Cronbach’s alpha coefficient. The findings revealed that the scale had a four-factor structure and the fit indexes were within the acceptance boundary. The Cronbach’s alpha reliability was greater than 0.91 and the reliability values of its all subdimensions were greater than 0.70. All differences of the upper and lower 27%- groups between the item averages were significant. These results indicate that the Turkish version of TPACK scale is a valid and reliable measurement tool.
Older People, Telematics and Care

About the book: What are the implications of current economic, social and political trends in Britain for older people? Social and demographic changes have led to traditional areas of welfare being transformed. The contributors to this book take a critical look at the current situation and assess the implications for future practice. They debate the assumptions and values underlying established welfare programmes and consider the case for change as growing demands put health and social services under increasing pressure. The second part of the book discusses specific areas in detail, ranging from the organisation of effective domiciliary social care to the impact of new technologies on older people's lives. This book provides a comprehensive and practical overview of the provision of services for older people and will be a valuable and thought-provoking resource for anyone involved in caring for and supporting them.
Visualización matemática: intuición y razonamiento

Mathematization is heavily sustained by intuition and visual reasoning. In this work we consider mathematical visualization not only as the process of recognizing Mathematics through images, but also as a key factor to enhance understanding and inspiring mathematical discoveries. Within the frame of mathematical education at university level, we use empirical data to reflect on the characteristics of geometric visualization and on some of the obstacles and opportunities arising in the teaching of visualization in this particular context.
Manejo efectivo de la sepsis según etapa evolutiva

Se realiza un estudio prospectivo, descriptivo y transversal de aspectos clinicos de los pacientes que ingresaron con el diagnostico de sepsis, en la Unidad de Cuidados Intensivos Pediatricos del Hospital General Docente “Orlando Pantoja Tamayo” de Contramaestre, Santiago de Cuba, en el periodo comprendido de 1998 al 2000. El universo estuvo constituido por 90 pacientes, y fue la edad mas frecuente la de los ninos mayores de 1 ano. El diagnostico de mayor incidencia fue el de sepsis bacteriana y los enfermos procedian del Cuerpo de Guardia. La estadia se incremento a medida que avanzo el estadio de sepsis. En la evolucion final la mayoria de los ninos egreso vivo.
Flexible Exploration By Human And Robotic Haptic System

Humans ale remarkably skilled at recognizing common objects using only manual exploration. Our research program on human haptics (purposive touch) has revealed constraints on the sequence of manual exploration used to derive haptic information about object properties for various perceptual tasks. These experimental data are currently being used to model human haptic object recognition. The research program has also interested those who design flexible haptic perceptual systems for robotic exploration, recognition and manipulation of objects within highly unstructured environments.
A Bi-level Programming for the Multi-echelon Supply Chain Distribution Network Design

This paper considers a multi-plant and multi-distribution centers (DCs) supply chain distribution network (SCDN). The decisions are to locate the open DCs, allocate customers to DCs, and DCs to plants to minimize the total logistics cost including the fixed costs of DCs, warehousing cost of DCs and shipping cost from plants to DCs and from DCs to customers. Also, it takes workload balanced requirements into consideration to avoid DCs being congested or idle. A bi-level programming model is proposed to deal with this problem. The upper level considers DC location problem and production-allocation problem. The lower level focuses on allocating customers to DCs such that the workload of each open DC is balanced. We propose a double threshold accepting (TA) approach to solve this problem. Four different examples are tested and the results show that our double threshold accepting algorithm can obtain a good solution efficiently.
Indici fonetici delle occlusive sorde nel cosentino

This paper deals with the phenomenon of aspiration in Cosenza's dialect and regional Italian voiceless stop conconants. To this purpose, speech samples from three speakers are spectrographically analyzed. Stop closure and voice onset time (VOT) durations of geminate, postconsonantic and single stops are examined. Two other Italian varieties (Florence and Milan) are considered for a contrastive study. The results of the experimental research show that : 1) the VOT measure provides an adequate acoustic cue for separating aspirated stops from unaspired ones ; 2) in Cosenza's varieties (both dialect and Italian) aspiration regards only geminate and, in a lesser degree, post /r/ stops. As far as these last stops are concerned, VOT values of the Calabrian variety are very different from those observed in Florence and Milan Italian. On the contrary, VOT values of intervocalic stops are very similar for all three varieties. The last part of the study contains a discussion about the phonological status of the phenomenon. It's asserted that aspiration is an ambiguous process, because it presents, at the same time, both features of a strengthening phenomenon and those of a weakening process
Application of neural networks in the development of nonlinear error modeling and test point prediction

This paper explores a neural network approach for empirical nonlinear error modeling for systems that have a significant amount of nonlinearity, nonlinear error models require fewer parameters compared to linear models and require fewer test points to achieve the same prediction accuracy. A neural network with a five-layer structure is investigated. The test point error predictions from nonlinear modeling are compared with the results of linear modeling for an artificial nonlinear model, a circuit with nonlinearity, and an instrument with suspected nonlinearity. The nonlinear modeling shows move improvement when the data set contains more nonlinearity.
ADIPOCYTOKINE VISFATIN - A LINK BETWEEN DIABETES MELLITUS AND PERIODONTITIS - A REVIEW -

Visfatin is a newly discovered member of adipokine family. It is a visceral adipokine, it has been found in skeletal muscle, liver, bone marrow and lymph. It was originally identified as a cytokine-like secreted protein that synergizes the effect of IL-7 and stem cell factor in promoting the growth and differentiation of B-cell lineage precursors. It is expressed in lymphocytes of peripheral blood and plays a role in lymphocytes maturation and inhibition of neutrophil apoptosis. It is an endocrine, autocrine as well as paracrine protein with many functions including enhancement of cell proliferation, biosynthesis of nicotinamide monoand dinucleotide and induction of hypoglycemia. Visfatin has been shown to exert insulin mimetic and pro-inflammatory effects, One of the fundamental functions of visfatin is the modulation of immune and inflammatory processes. It has been reported that visfatin activated nuclear factor-kappa B which has a crucial role in regulating immune responses. Up-regulation of visfatin has been also identified in a variety of pathophysiological conditions of the immune system including rheumatoid arthritis, psoriasis, clinical sepsis and acute lung injury. Recently, there has been mounting body of studies investigating the association of visfatin with periodontal disease. This article gives an insight about visfatin and its correlation with periodontal disease.