Altre rahonament, en que lo mateix llaurador que li declara son amor a la dama, torna al altre dia a dirli mes requiebros, y acabarla de madurar, pera tendrela segura [Texto impreso]

Hay un ejemplar encuadernado con: Discret rahonament, quiexa formal que fan contra el Micalet de la Seu, la Torre de Espioca, y la Torre de Paterna, sobre la gran visita que éste tingué en lo dia cinc de Deembre [sic] ... per veure y admirar tan magnífica obra y deliciosa vista ... Carlos Quart (que Deu guart) y el señor Don Fernando de Borbó ... : (XVIII/1105).

Coloqui nou, gracios, y entretengut, hon se referixen les Festes celebrades en la Ciutat de Valencia, a la Proclamaciò de son Rey, y senyor, nostron Fernando Sext ... en los dies 19, 20, y 21, Dagost del present any 1746 [Texto impreso]

Hay un ejemplar encuadernado con: Don Christofol de Cardona ... Balle General de la present Ciutat y Regne de Valencia : (XVIII/1687).

Parlament curios, y entretengut, pera el desfres de les Carnistoltes : [Texto impreso] en que un llaurador va curruqueixant a una dama, explicantli son amor : y pera mes ablanarla li pondera ses habilitats, como ho vora lo curios

Hay un ejemplar encuadernado con: Discret rahonament, quiexa formal que fan contra el Micalet de la Seu, la Torre de Espioca, y la Torre de Paterna, sobre la gran visita que éste tingué en lo dia cinc de Deembre [sic] ... per veure y admirar tan magnífica obra y deliciosa vista ... Carlos Quart (que Deu guart) y el señor Don Fernando de Borbó ... : (XVIII/1105).

Rahonament y coloqui nou en lo qual un Llaurador li declara son amora una dama chispera, procurant per molts camins el llograrla per muller, també li dona conte y raó de un festech que tingué en lo seu poble de Alfafar en la filla del Alcalde, y el raro motiu per que es desfeu [Texto impreso]

Hay un ejemplar encuadernado con: Discret rahonament, quiexa formal que fan contra el Micalet de la Seu, la Torre de Espioca, y la Torre de Paterna, sobre la gran visita que éste tingué en lo dia cinc de Deembre [sic] ... per veure y admirar tan magnífica obra y deliciosa vista ... Carlos Quart (que Deu guart) y el señor Don Fernando de Borbó ... : (XVIII/1105).

Rahonament y coloqui nou en lo qual un Llaurador li declara son amora una dama gispera, requebrantla per molts camins per veure si pot llograrla per muller, y al mateix temps li proposa son saber, manya, y habilitat [Texto impreso]

Hay un ejemplar encuadernado con: Discret rahonament, quiexa formal que fan contra el Micalet de la Seu, la Torre de Espioca, y la Torre de Paterna, sobre la gran visita que éste tingué en lo dia cinc de Deembre [sic] ... per veure y admirar tan magnífica obra y deliciosa vista ... Carlos Quart (que Deu guart) y el señor Don Fernando de Borbó ... : (XVIII/1105).

Segona part del Coloqui, o Junta secreta, que en casa el tio Bernat tingureren, éste, son nebot Saro, y els agregats Pere el Rull, y el Rallat de Masanasa, tots revenedors del mercat [Texto impreso]

Hay un ejemplar encuadernado con: Poesías colocadas en el pórtico del Convento de San Francisco de Valencia (NP849.91/3086).

Image enhancement with MatLab algorithms

Nowadays, a lot of applications use digital images. For example in face recognition to detect and tag persons in photograph, for security control, and a lot of applications that can be found in smart cities, as speed control in roads or highways and cameras in traffic lights to detect drivers ignoring red light. Also in medicine digital images are used, such as x-ray, scanners, etc. These applications depend on the quality of the image obtained. A good camera is expensive, and the image obtained depends also on external factor as light. To make these applications work properly, image enhancement is as important as, for example, a good face detection algorithm. Image enhancement also can be used in normal photograph, for pictures done in bad light conditions, or just to improve the contrast of an image. There are some applications for smartphones that allow users apply filters or change the bright, colour or contrast on the pictures. This project compares four different techniques to use in image enhancement. After applying one of these techniques to an image, it will use better the whole available dynamic range. Some of the algorithms are designed for grey scale images and others for colour images. It is used Matlab software to develop and present the final results. These algorithms are Successive Means Quantization Transform (SMQT), Histogram Equalization, using Matlab function and own implemented function, and V transform. Finally, as conclusions, we can prove that Histogram equalization algorithm is the simplest of all, it has a wide variability of grey levels and it is not suitable for colour images. V transform algorithm is a good option for colour images. The algorithm is linear and requires low computational power. SMQT algorithm is non-linear, insensitive to gain and bias and it can extract structure of the data. RESUMEN. Hoy en día incontable número de aplicaciones usan imágenes digitales. Por ejemplo, para el control de la seguridad se usa el reconocimiento de rostros para detectar y etiquetar personas en fotografías o vídeos, para distintos usos de las ciudades inteligentes, como control de velocidad en carreteras o autopistas, cámaras en los semáforos para detectar a conductores haciendo caso omiso de un semáforo en rojo, etc. También en la medicina se utilizan imágenes digitales, como por ejemplo, rayos X, escáneres, etc. Todas estas aplicaciones dependen de la calidad de la imagen obtenida. Una buena cámara es cara, y la imagen obtenida depende también de factores externos como la luz. Para hacer que estas aplicaciones funciones correctamente, el tratamiento de imagen es tan importante como, por ejemplo, un buen algoritmo de detección de rostros. La mejora de la imagen también se puede utilizar en la fotografía no profesional o de consumo, para las fotos realizadas en malas condiciones de luz, o simplemente para mejorar el contraste de una imagen. Existen aplicaciones para teléfonos móviles que permiten a los usuarios aplicar filtros y cambiar el brillo, el color o el contraste en las imágenes. Este proyecto compara cuatro técnicas diferentes para utilizar el tratamiento de imagen. Se utiliza la herramienta de software matemático Matlab para desarrollar y presentar los resultados finales. Estos algoritmos son Successive Means Quantization Transform (SMQT), Ecualización del histograma, usando la propia función de Matlab y una nueva función que se desarrolla en este proyecto y, por último, una función de transformada V. Finalmente, como conclusión, podemos comprobar que el algoritmo de Ecualización del histograma es el más simple de todos, tiene una amplia variabilidad de niveles de gris y no es adecuado para imágenes en color. El algoritmo de transformada V es una buena opción para imágenes en color, es lineal y requiere baja potencia de cálculo. El algoritmo SMQT no es lineal, insensible a la ganancia y polarización y, gracias a él, se puede extraer la estructura de los datos.

2.1 Lloyd Gaines close up image

Charles Hamilton Houston and other NAACP attorneys assembled in early October 1939 to take depositions in preparation for the hearing scheduled a week later in Columbia to determine whether the university had complied with the Gaines decision. Attorneys took depositions from all of the instructors of the new LU law school as their preparation for the court proceedings wound down. The deposition of Lloyd Gaines was next. Attorneys planned to ask Gaines whether he considered Lincoln to be as good of a law school as Missouri and whether he planned to enroll. Called for questioning, Gaines did not respond. He could not be located anywhere. Lloyd’s mother, Callie Gaines, recalled that in January her son “left here to go to Kansas City to make a speech. That’s the last I saw of him.” While in Kansas City, Gaines spoke at the Centennial Methodist Church. He also looked for work, but not finding any caught a train for Chicago, telling people in Kansas City that he would stay a few days and return home.

Distortion of self-image: risk factor for obesity in children and teenagers

Introduction: Self-image is important in the behaviour and lifestyle of children and adolescents. Analysing the self-image they have and the factors that might influence their distortion, can be used to prevent problems of obesity and anorexia. The main objective of present publication was to analyse the risk factors that may contribute to self-image distortion. Material and Methods: A descriptive survey study was conducted among 659 children and adolescents in two social classes (low and medium-high), measuring height and weight, calculating BMI percentile for age and gender. Body image and self-perception were registered. Results: The percentage of overweight-obesity is higher in scholars (41.8% boys, 28.7% girls) than in adolescents (30.1% and 22.2% respectively), with no difference between socioeconomic classes. The multinomial logistic regression analysis gives a risk of believing thinner higher (p=0.000) among boys OR=2.9(95%CI:1.43-3.37), school (p=0.000) OR=2.42(95%CI:1.56-3.76) and much lower (p=0.000) between normally nourished OR=0.08(95%CI:0.05-0.13), with no differences according to socioeconomic status. The risk of believing fatter is lower (p=0.000) between boys OR=0.28(95%CI:0.14-0.57), school(p=0.072) OR=0.54(95%CI:0.27-1.6), and much higher among underweight (p=0.000) OR=9x108(95% CI:4x108-19x108). Conclusions: Are risk factors of believing thinner: males, being in a group of schoolchildren and overweight-obesity. Conversely, are risk factors of believing fatter: females, teen and above all, be thin.

Luxembourg and Portions of Belgium, Germany, and France, 1705 (Image 1 of 4) (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Le Duché de Luxembourg divisé en Quartier Walon, et Allemand : dans chacun desquels sont diviséz, les Seigneuries, Prevostés et Comtés. Le Duché de Bouillon ; le Comté de Namur et le Pays entre Sambre et Meuse, Dedié au Roy par son tres-humble, tres-obeissant, tres-fidele sujet et serviteur Hubert Jaillot, Geographe du Roy. It was published by chez l'auteur, joignant les grands Augustins, aux deux Globes, avec privilége du roy in 1705. Scale [ca. 1:143,370]. Covers Luxembourg and portions of Belgium, Germany, and France. This layer is image 1 of 4 total images of the four sheet source map, representing the southeast portion of the map. Map in French.The image inside the map neatline is georeferenced to the surface of the earth and fit to the Europe Lambert Conformal Conic coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as drainage, roads, cities and other human settlements, fortifications, territorial and administrative boundaries, ground cover, and more. Relief shown pictorially. This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Luxembourg and Portions of Belgium, Germany, and France, 1705 (Image 2 of 4) (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Le Duché de Luxembourg divisé en Quartier Walon, et Allemand : dans chacun desquels sont diviséz, les Seigneuries, Prevostés et Comtés. Le Duché de Bouillon ; le Comté de Namur et le Pays entre Sambre et Meuse, Dedié au Roy par son tres-humble, tres-obeissant, tres-fidele sujet et serviteur Hubert Jaillot, Geographe du Roy. It was published by chez l'auteur, joignant les grands Augustins, aux deux Globes, avec privilége du roy in 1705. Scale [ca. 1:143,370]. Covers Luxembourg and portions of Belgium, Germany, and France. This layer is image 2 of 4 total images of the four sheet source map, representing the northeast portion of the map. Map in French.The image inside the map neatline is georeferenced to the surface of the earth and fit to the Europe Lambert Conformal Conic coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as drainage, roads, cities and other human settlements, fortifications, territorial and administrative boundaries, ground cover, and more. Relief shown pictorially. This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Luxembourg and Portions of Belgium, Germany, and France, 1705 (Image 3 of 4) (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Le Duché de Luxembourg divisé en Quartier Walon, et Allemand : dans chacun desquels sont diviséz, les Seigneuries, Prevostés et Comtés. Le Duché de Bouillon ; le Comté de Namur et le Pays entre Sambre et Meuse, Dedié au Roy par son tres-humble, tres-obeissant, tres-fidele sujet et serviteur Hubert Jaillot, Geographe du Roy. It was published by chez l'auteur, joignant les grands Augustins, aux deux Globes, avec privilége du roy in 1705. Scale [ca. 1:143,370]. Covers Luxembourg and portions of Belgium, Germany, and France. This layer is image 3 of 4 total images of the four sheet source map, representing the southwest portion of the map. Map in French.The image inside the map neatline is georeferenced to the surface of the earth and fit to the Europe Lambert Conformal Conic coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as drainage, roads, cities and other human settlements, fortifications, territorial and administrative boundaries, ground cover, and more. Relief shown pictorially. This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Luxembourg and Portions of Belgium, Germany, and France, 1705 (Image 4 of 4) (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Le Duché de Luxembourg divisé en Quartier Walon, et Allemand : dans chacun desquels sont diviséz, les Seigneuries, Prevostés et Comtés. Le Duché de Bouillon ; le Comté de Namur et le Pays entre Sambre et Meuse, Dedié au Roy par son tres-humble, tres-obeissant, tres-fidele sujet et serviteur Hubert Jaillot, Geographe du Roy. It was published by chez l'auteur, joignant les grands Augustins, aux deux Globes, avec privilége du roy in 1705. Scale [ca. 1:143,370]. Covers Luxembourg and portions of Belgium, Germany, and France. This layer is image 4 of 4 total images of the four sheet source map, representing the northwest portion of the map. Map in French.The image inside the map neatline is georeferenced to the surface of the earth and fit to the Europe Lambert Conformal Conic coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as drainage, roads, cities and other human settlements, fortifications, territorial and administrative boundaries, ground cover, and more. Relief shown pictorially. This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Valletta, Malta, 1869 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Plan of Valetta and its harbours. It was published by Day & Son in 1869. Scale [ca. 1:8,606]. Covers Valletta, Malta. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Europe Lambert Conformal Conic coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, drainage, built-up areas and selected buildings, fortification, shoreline features, wharves, and more. Relief shown by hachures. Includes also index and panoramic view of the harbor.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Brighton, England, 1820 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Plan of Brighton and its environs : including all the recent improvements by J. Sleath, sc. It was published by W. Saunders & Son in 1820. Scale [ca. 1:9,467].The image inside the map neatline is georeferenced to the surface of the earth and fit to the 'British National Grid' coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, drainage, built-up areas and selected buildings, ground cover, parks, and more.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.