Miracle-dz/UniFAR-FTUs huggingface dataset:
Comic Book Culture: Fanboys and True Believers

What are super-devoted fans of comic books really like? What draws them together and energizes their zeal? What do the denizens of this pop-culture world have in common? This book provides good answers as it scrutinizes the fans whose profiles can be traced at their conventions, in pages of fanzines, on websites, in chat-rooms, on electronic bulletin boards, and before the racks in comic-book stores. They are a singular breed, and an absorbing interest in comic books (sometimes life-consuming) unites them. Studies have shows that the clustering, die-hard disciples of Star Trek have produced a unique culture. The same can be said of American enthusiasts of comic books. These aficionados range from the stereotypical "fanboy" who revels in the minute details of mainstream superhero titles like X-Men to the more discriminating (and downright snobbish) reader of idiosyncratic alternative comics like Eightball. Literate comics like Watchman, Radioactive Man, and Peepshow demand a knowledgeable audience and reward members of the culture for their expertise while tending to alienate those outside. This book shows how the degree of "comics literacy" determines a fan's place in the culture and how the most sophisticated share the nuanced history of the format. Although their interaction is filled with conflicts, all groups share an intense love for the medium. But whether one is a Fanboy or a True Believer, the preferred hangout is the specialty store. Here, as they talk shop, the culture proliferates. They debate among themselves, spread news about the industry, arrange trades, discuss collectibles, and attach themselves to their particular mainstream. With history, interviews, and textual analysis Comic Book Culture: Fanboys and True Believers examines the varied reading communities absorbed by the veneration of the comics and demonstrates how each functions in the ever-broadening culture.
A Graphical Authentication System Controlled by Eye Movement

Graphical password is a potential alternative to the traditional alphanumerical password due to its advantages of recognition and memory in the security system. Eye movement, a natural interaction modality, is a promising tool to replace the keyboard and the mouse in authentication. This paper proposes a graphical authentication system controlled by eye movement. In this keyboard-less authentication system, the user’s eye movements were recorded by eye-tracker as the control signal to generate recognition-based graphical passwords. The user test study has been conducted to verify the availability and effectiveness of this keyboard-less graphical authentication system. It’s also shown that the efficiency could be improved as the user getting familiar with this system.
Using SVD and DWT Based Steganography to Enhance the Security of Watermarked Fingerprint Images

Watermarking is the process of embedding information into a carrier file for the protection of ownership/copyright of digital media, whilst steganography is the art of hiding information. This paper presents, a hybrid steganographic watermarking algorithm based on Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) transforms in order to enhance the security of digital fingerprint images. A facial watermark is embedded into fingerprint image using a method of singular value replacement. First, the DWT is used to decompose the fingerprint image from the spatial domain to the frequency domain and then the facial watermark is embedded in singular values (SV’s) obtained by application of SVD. In addition, the original fingerprint image is not required to extract the watermark. Experimental results provided demonstrate the methods robustness to image degradation and common signal processing attacks, such as histogram and filtering, noise addition, JPEG and JPEG2000 compression with various levels of quality.
Redesign von Benutzungsoberflächen durch Mittel der Navigation

In der Diplomarbeit wurde ein auf Treemaps basierendes Visualisierungs- und Navigationskonzept entworfen und evaluiert. Das Redesign des DB2 Performance Experts von IBM bildete das Rahmenprojekt dafur. Die Entwicklung folgte einem iterativen, partizipativen Vorgehensmodell. Das entstandene Konzept wurde Monitor Maps genannt. Es handelt sich dabei um eine Kombination aus Treemaps und Statusfarben, welche die Aufmerksamkeit des Benutzers lenken. Die Monitor Maps wurden in die bestehende Benutzungsoberflache des DB2 Performance Experts integriert. Die Gestaltung der Interaktion macht die Darstellung zu einem machtigen Navigationskonzept, das fur den Benutzer des DB2 Performance Experts geeignet ist. Es wurden zwei Alternativen von Monitor Maps prototypisch entworfen, ihre Eigenschaften analysiert und gezeigt, wie sich das Konzept auf andere Bereiche ubertragen lasst. Auserdem wurden in der Diplomarbeit die Unterschiede von Redesign und Neuentwurf herausgearbeitet.
PENGOLAHAN CITRA DIGITAL UNTUK MENDETEKSI OBYEK MENGGUNAKAN PENGOLAHAN WARNA MODEL NORMALISASI RGB

Pengolahan citra digital (Digital Image Processing) adalah sebuah disiplin ilmu yang mempelajari tentang teknik-teknik mengolah citra. Citra yang dimaksud pada penelitian ini adalah gambar statis yang berasal sensor vision berupa webcam. Secara matematis, citra merupakan fungsi kontinyu dengan intensitas cahaya pada bidang dua dimensi. Agar dapat diolah dengan komputer digital, maka suatu citra harus dipresentasikan secara numerik dengan nilai-nilai diskrit. Sebuah citra digital dapat diwakili oleh sebuah matriks dua dimensi f(x,y) yang terdiri dari M kolom dan N baris. Pada pengolahan warna gambar, ada bermacam-macam model salah satunya adalah model rgb atau normalisai RGB. Model pengolahan ini merupakan pengolahan warna dengan menghitung prosentase warna RGB dalam sebuah citra. Dengan menggunakan model ini, sebuah obyek dengan warna tertentu dapat dideteksi dan terbebas dari pengaruh perubahan intensitas cahaya dari luar. Kelemahan dari pengolahan warna model ini adalah tidak dapat membedakan warna hitam dan putih, karena memiliki prosentase nilai RGB yang sama yaitu 33%. Guna melihat pengaruh pendeteksian obyek terhadap perubahan intensitas cahaya maka nilai brightness diubahubah. Berdasarkan hasil tersebut pada saat nilai brightness antara 1 â€“ 80 obyek target yang diinginkan masih dapat dideteksi. Kata Kunci : Citra Digital, Deteksi Obyek, Normalisasi RGB
OFDM systems with differential modulation schemes and turbo decoding techniques

Orthogonal frequency division multiplexing (OFDM) has some technical advantages compared with single carrier transmission in high data rate applications and multipath fading channels. Differential modulation techniques are used in combination with OFDM to avoid any effort for channel estimation and equalization in the receiver. In this paper, the combination of differential modulation and convolutional channel coding is re-interpreted as a concatenated code in which the differential modulation scheme is the rate R=1 inner code and the convolutional code the outer code. Turbo decoding is applied in this case at the receiver resulting in a signal-to-noise ratio (SNR) gain of more than 3.5 dB compared with classical soft decision Viterbi decoding.
Optical neural network-architecture, design and models

An adaptive optical neural network (ONN) using inexpensive pocket size liquid crystal televisions was constructed by a group of graduate students in the electrooptics laboratory at the Pennsylvania State University. The major advantages of this optical neural architecture are its flexibility in operations and low construction cost. To test the performance of the ONN, several neural network models have been used. These models are Hopfield, orthogonal projection, multilevel recognition, interpattern association, unsupervised learning, and heteroassociation. The system design considerations and experimental demonstrations are given. Simple translation between English alphabets and Chinese characters have been demonstrated. <<ETX>>
Prediction of Helicopter Rotor Discrete Frequency Noise - A Computer Program Incorporating Realistic

A computer program has been developed at the Langley Research Center to predict the discrete frequency noise of conventional and advanced helicopter rotors. The program, called WOPWOP, uses the most advanced subsonic formulation of Farassat that is less sensitive to errors and is valid for nearly all helicopter rotor geometries and flight conditions. A brief derivation of the acoustic formulation is presented along with a discussion of the numerical implementation of the formulation. The computer program uses realistic helicopter blade motion and aerodynamic loadings, input by the user, for noise calculation in the time domain. A detailed definition of all the input variables, default values, and output data is included. A comparison with experimental data shows good agreement between prediction and experiment; however, accurate aerodynamic loading is needed.
Diet, physical activity, and health-related outcomes of endometrial cancer survivors in a behavioral lifestyle program: the Diet and Exercise in Uterine Cancer Survivors (DEUS) parallel randomized controlled pilot trial

Objectives To explore the effectiveness of a theory-based behavioral lifestyle intervention on health behaviors and quality of life in endometrial cancer survivors. ’ Methods This was a secondary analysis of a randomized controlled pilot trial conducted in two UK hospitals enrolling disease-free stage I-IVA endometrial cancer survivors. Participants were allocated to an 8-week group-based healthy eating and physical activity intervention or usual care using 1:1 minimization. Participants were followed up at 8 and 24 weeks, with the 8-week assessment being blinded. Diet, physical activity, and quality of life were measured with the Alternative Healthy Eating Index 2010, Stanford 7-Day Physical Activity Recall, and the EORTC Quality of life Questionnaire Core 30, respectively. We analyzed all eligible participants using the intention-to-treat approach in complete cases, adjusting for baseline values, body mass index, and age. Results We enrolled 60 of the 296 potentially eligible endometrial cancer survivors (May - December 2015). Fifty-four eligible participants were randomized to the intervention (n=29) or usual care (n=31), and 49 had complete follow-up data (n=24 in the intervention and n= 25 in usual care). Intervention adherence was 77%. At 8 weeks, participants in the intervention improved their diet compared to usual care (difference in Alternative Healthy Eating Index 2010 score 7.5 (95% CI: 0.1 to 14.9), P=0.046) but not their physical activity (0.1 metabolic equivalent-h/day 95% CI: (-1.6 to 1.8), P=0.879), or global quality of life score (5.0 (95% CI: -3.4 to 13.3), P=0.236). Global quality of life improved in intervention participants at 24 weeks (difference 8.9 (95% CI: 0.9 to 16.8), P=0.029). No intervention-related adverse events were reported. Conclusions The potential effectiveness of the intervention appeared promising. A future fully-powered study is needed to confirm these findings. Trial registration number NCT02433080.
The jumping frog : in English, then in French, then clawed back into a civilized language once more by patient, unremunerated toil

Mark Twain's "Notorious Jumping Frog of Calaveras County" is a story of the crusty Jim Smiley, a man who so loved to bet on animals - horses, dogs, etc. - that he trained a frog to be the strongest jumper in his county. Twain's broad yet graceful humor is beautifully complemented by the elegant woodcuts of Alan James Robinson. Finely reproduced, these illustrations bring Twain's great comic tale to life. Twain's classic tale of the "Notorious Jumping Frog of Calaveras County" is in three parts: the original tale published in 1865, the first French translation of the story, and Twain's tongue-in-cheek verbatim re-translation into English.
Ottoman Empire and Islamic tradition

This skillfully written text presents the full sweep of Ottoman history from its beginnings on the Byzantine frontier in about 1300, through its development as an empire, to its late eighteenth-century confrontation with a rapidly modernizing Europe. Itzkowitz delineates the fundamental institutions of the Ottoman state, the major divisions within the society, and the basic ideas on government and social structure. Throughout, Itzkowitz emphasizes the Ottomans' own conception of their historical experience, and in so doing penetrates the surface view provided by the insights of Western observers of the Ottoman world to the core of Ottoman existence.
FULL-VIEW COVERAGE PROBLEMS IN CAMERA SENSOR NETWORKS

Camera Sensor Networks (CSNs) have emerged as an information-rich sensing modality with many potential applications and have received much research attention over the past few years. One of the major challenges in research for CSNs is that camera sensors are different from traditional scalar sensors, as different cameras from different positions can form distinct views of the object in question. As a result, simply combining the sensing range of the cameras across the field does not necessarily form an effective camera coverage, since the face image (or the targeted aspect) of the object may be missed. The angle between the object’s facing direction and the camera’s viewing direction is used to measure the quality of sensing in CSNs instead. This distinction makes the coverage verification and deployment methodology dedicated to conventional sensor networks unsuitable. A new coverage model called full-view coverage can precisely characterize the features of coverage in CSNs. An object is full-view covered if there is always a camera to cover it no matter which direction it faces and the camera’s viewing direction is sufficiently close to the object’s facing direction. In this dissertation, we consider three areas of research for CSNS: 1. an analytical theory for full-view coverage; 2. energy efficiency issues in full-view coverage CSNs; 3. Multi-dimension full-view coverage theory. For the first topic, we propose a novel analytical full-view coverage theory, where the set of full-view covered points is produced by numerical methodology. Based on this theory, we solve the following problems. First, we address the full-view coverage holes detection problem and provide the healing solutions. Second, we propose k-Full-View-Coverage algorithms in camera sensor networks. Finally, we address the camera sensor density minimization problem for triangular lattice based deployment in full-view covered camera sensor networks, where we argue that there is a flaw in the previous literature, and present our corresponding solution. For the second topic, we discuss lifetime and full-view coverage guarantees through distributed algorithms in camera sensor networks. Another energy issue we discuss is about object tracking problems in full-view coverage camera sensor networks. Next, the third topic addresses multi-dimension full-view coverage problem where we propose a novel 3D full-view coverage model, and we tackle the full-view coverage optimization problem in order to minimize the number of camera sensors and demonstrate a valid solution. This research is important due to the numerous applications for CSNs. Especially some deployment can be in remote locations, it is critical to efficiently obtain accurate meaningful data. INDEX WORDS: Full-view coverage, Algorithm, Networking, Energy efficiency FULL-VIEW COVERAGE PROBLEMS IN CAMERA SENSOR NETWORKS
Estudio comparativo de empresas de turismo de aventura de la provincia de Valencia

El objetivo de este proyecto es la realizacion de un estudio comparativo, mediante un analisis DAFO, entre las empresas de turismo activo de la provincia de Valencia. Ademas, conocer el producto que ofrecen y a que publico objetivo enfocan su oferta. De esta manera, conseguir en un documento, toda la informacion unificada, que junto con las conclusiones obtenidas, facilitan la posibilidad de fortalecer los puntos mas fuertes explotando de una forma mas eficaz y quiza menos agresiva para cada entorno de las localidades donde se encuentran estas empresas, y las zonas donde se practican las actividades deportivas. Conjuntamente se llevara a cabo la investigacion referente al apartado del ambito aplicable, marketing de las empresas (muy importante para el fomento de este tipo de turismo), y el entorno de dichas empresas.
DETERMINING THE STATUS OF ANXIETY AND DEPRESSION IN WOMEN DURING PREGNANCY AND IN THE POSTPARTUM PERIOD

Problem Statement: The anxiety and depression experienced during pregnancy and in the postpartum period is of considerable importance in terms of the health of the mother and her infant.Purpose of the Study: The aim of this study was to determine the status of anxiety and depression during pregnancy and in the postpartum period.Methods: The research sample consisted of 100 primiparae and 100 multiparae who had consented to participate in the study. Data was collected with a questionnaire, the State and Trait Anxiety Inventory (STAI), the Beck Anxiety Inventory (BAI), and the Edinburgh Postpartum Depression Scale (EPDS). Findings and Results: It was found that during pregnancy and in the postpartum period, primiparae experienced a higher level of state and trait anxiety compared to multiparae and that the rate of depression was higher in multiparae compared to primiparae.Conclusions and Recommendations: It was determined that primiparae experienced more anxiety than multiparae (p<0.05) during pregnancy and in the postpartum period and that multiparae experienced depression at a higher rate. Therefore, our recommendation is that healthcare personnel provide women with a regular program of education and consulting services to meet their needs during pregnancy and in the postpartum period.
Adaptação transcultural da versão brasileira da Escala do Impacto do Evento - Revisada (IES-R)

The Impact of Events Scale-Revised (IES-R) is used to screen for post-traumatic stress disorder (PTSD). The aim of this study was to assess the cross-cultural adaptation of the IES-R. The scale was translated into Brazilian Portuguese and culturally adapted. Reliability and validity were evaluated in 45 individuals divided into three groups of 15 (without PTSD, with PTSD, and treated for PTSD). Reliability was evaluated using intraclass correlation coefficient - ICC and Cronbach's alfa. Discriminant validity was evaluated by comparing mean IES-R scores in the three groups. The area under the ROC curve (AUC) was evaluated to determine cut-offs with higher sensitivity (s) and specificity (e) using the clinical interview (DSM-IV) as reference. The IES-R showed good reliability (ICC = 1; alfa from 0.75 to 0.93). The mean IES-R scores (p < 0.05) and ROC curve had good discriminant validity for a cut-off of 5.6 (s = 0.80, e = 0.70 and AUC = 0.81). The Brazilian version of IES-R showed good properties and can be a useful screening tool for PTSD.
Practical design considerations for next generation high-speed data wireless systems

In a high-speed wireless data system, based on a bias treatment (through a scheduler control) on good RF-condition users, the system could potentially reach high throughput if good RF users have the infinite data to send. But, in reality, most data applications have only finite sizes. With this finite-size constraint, users at poor RF conditions occupies more timing resources than good RF users to finish the transmission of a data packet call. As a result, we show analytically that to improve system performance, scheduler algorithms not only should focus on allocating more resources to good RF users but also need to improve low data rate users at the same time. Based on the IxEV-DO technology, two scheduler design concepts are used to evaluate the impacts on the system throughput for both the infinite data buffer case and the finite data buffer case.
Modélisation tridimensionnelle des articulateurs de la parole : implémentation temps réel et mesures d'intelligibilité bimodale

Nous presentons une chaine complete d'analyse-synthese de visages tridimensionnels parlants, developpee pour mener des etudes fondamentales sur la production et la perception visuelle de la parole. Dans un premier temps, une taxinomie originale des differents systemes d'animation de visages synthetiques existants est dressee en decrivant precisement toutes les phases du processus. Les principaux resultats sur la bimodalite intrinseque de la parole sont ensuite analyses pour souligner les precautions a prendre afin de respecter une bonne synchronisation labiale. Une modelisation des organes visibles de la partie inferieure du visage (levres, machoire et peau) a ete realisee sur la base de leurs caracteristiques physiologiques. L'ensemble des modeles est commande par six parametres anatomiques, directement mesurables sur le visage d'un locuteur maquille. La qualite des mouvements labiaux et de leur synchronisation avec le signal de parole a ete evaluee a travers des tests de perception mesurant l'apport d'intelligibilite des modeles a de la parole bruitee. Notre dispositif d'extraction des parametres faciaux est base sur une analyse chromatique d'images video du visage d'un locuteur aux levres maquillees en bleu. Il fournit precisement, en temps reel et 25 fois par seconde, les parametres de commande du visage synthetique. L'ensemble des modeles faciaux et du dispositif de mesure constitue un systeme complet d'analyse-synthese de visages parlants dont les performances permettent des applications aussi bien en recherche fondamentale sur la bimodalite de la parole qu'en communication homme-machine. Notre systeme peut etre mis a la disposition des infographistes pour automatiser le lip-sync dans les films d'images de synthese. Ce travail a ete developpe et est utilise dans le cadre du projet esprit-bra miami
Personalized Query Based Search Techniques Using Association Rules

In mobile based search major problem is that interaction between the user and search are controlled by little numeral of factors in the mobile plans. By observing of necessitate for dissimilar types of concepts, present personalized mobile search engine (PMSE), it capture the user preferences concepts by mining click through data. In PMSE the user preferences are ordered in an ontology-based, user profile to adapt a personalized ranking function for future search results. In proposed system introduce an association rule mining algorithm to collect the travel related query patterns and travel patterns from the original personal mobile search engine profile. Association rule learning is a popular and well researched method for discovering interesting relations between variables in large databases. They introduced association rules for discovering regularities between normal patterns and query related patterns in the personalized mobile search engine result.
Tom's Midnight Garden

This is a BBC Radio 4 full-cast dramatisation of Philippa Pearce's enchanting children's tale starring Una Stubbs and Crawford Logan. These audio editions, especially dramatised for BBC Radio, are of timeless stories that have enchanted generations of readers both young and old. The wonder and excitement of these much-loved tales live on in these acclaimed full-cast dramatisations, complete with evocative music and sound effects. When his brother catches measles, Tom is sent away for the summer to stay with his uncle and aunt - and is thoroughly fed up about it. What a boring summer it's going to be. But then, lying in bed one night, he hears the old grandfather clock in the hall strike the very strange hour of thirteen o'clock. What can it mean? As Tom creeps downstairs and opens the door, he finds out.a magical garden, a new playmate and the adventure of a lifetime.