42 research outputs found
SCLC Women Present "A Salute to South African Women" Featuring Winnie Mandela. June 27, 1990. Written on tape: SCLC Women Present "A Salute to South African Women" Featuring Winnie Mandela. June 27, 1990.
No full textThis video features SCLC/W.O.M.E.N. members paying homage to South African activist Winnie Mandela in her fight against apartheid, racism, and adversity. Hosted by poet and activist Maya Angelou, the video features SCLC/W.O.M.E.N.'s founder Evelyn G. Lowery, Valerie Jackson, Elizabeth Harris, and other Southern women leaders who give appreciation and recognition for Winnie Mandela's leadership. In the video, Valerie Jackson presents Winnie Mandela with the Honorary Citizen of Atlanta Award and Evelyn G. Lowery presents Mandela with the Drum Major for Justice Award for her love for peace and justice, activism, motherhood, and liberation of South African citizens from oppression.The Atlanta University Center Robert W. Woodruff Library acknowledges the generous support of the Joseph & Evelyn Lowery Institute for Justice and Human Rights, the Joseph Echols Lowery Irrevocable Trust, and other donors in supporting the processing and digitization of Morehouse College's Joseph Echols and Evelyn Gibson Lowery Collection
Evelyn G. Lowery With Others, circa 1995
No full textSCLC/W.O.M.E.N. founder and convener Evelyn G. Lowery (first row, fifth from left), poses for a photo with SCLC/W.O.M.E.N. members and others, including Winnie Mandela (next to Lowery).The Atlanta University Center Robert W. Woodruff Library acknowledges the generous support of the Joseph & Evelyn Lowery Institute for Justice and Human Rights, the Joseph Echols Lowery Irrevocable Trust, and other donors in supporting the processing and digitization of Morehouse College's Joseph Echols and Evelyn Gibson Lowery Collection
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United States Geological Survey Professional Paper 197
No full textPreface: The author of this paper gives a thorough description of a complex of very unusual igneous rocks and associated hydrothermal deposits
Automatic Quantification of Beach Occupation Using Oversegmentation and Machine Learning
No full textDecision- and policymakers responsible for the coastal zone aim at combining measures against for instance long-term erosion, with measures that have a positive social, economic impact on the region. Recreational beach usage has a large social economic impact on a region and therefore quantification of the recreational beach usage can provide information on the social, economic situation in a region. In the Netherlands beach usage quantification is mostly performed by manual counting during a limited number of days in the field and this limits the spatial and temporal resolution. The objective of this study is to develop and test a method for accurate, robust and automatic monitoring of the spatial and temporal distribution of the number of beach users on the Dutch coast.Multiple approaches to quantify the number of persons in an area are reviewed. Comparison of the reviewed approaches showed that a first distinction can be made between methods using a visual light (camera-) sensor and other methods based on the use of Bluetooth, Wifi, GPS-location (all related to phones) and LiDAR. Based on a literature review the visual light sensor is decided upon to best suit beach user quantification. Within the visual light approach a second distinction is made between methods based on the difference in pixel intensity, a method based on variance of pixel intensities over multiple frames and a method using oversegmentation combined with a machine learning framework for classification.The difference in pixel intensity method is observed most often in literature, but has limitations in conditions that are concerned typical for the Dutch coast (e.g. clouds). The method based on the variance of pixel intensities and the method using oversegmentation are possibilities to overcome the problems described in the studies on the pixel intensity method. Based on preliminary tests the oversegmented machine learning approach is selected because it does not require beach users to move to be detected. Moreover, single snapshots can be evaluated which require a limited data infrastructure in-situ and this is considered advantageous regarding the ease of implementation and cost effectiveness.The oversegmented machine learning approach divides images into small regions of similar pixels based on pixel gradients. The regions are called superpixels and superpixels can be characterised by significantly more features than the conventional r,g,b relations corresponding to regular pixels evaluated in the differences in pixel intensity method. The availability of an increased number of features provides more options to distinguish between classes during classification and this can be advantageous in difficult (e.g. cloudy) conditions. Classified beach user superpixels can represent multiple beach users due to for instance occlusion and therefore a regression relation between classified beach user superpixels and a manually counted ground truth is determined for conversion of classified beach user superpixels to the number of beach users. Hence, the oversegmented machine learning method for quantification of beach occupation combines an oversegmented classification model to classify superpixels into classes (e.g. beach user and sand) and a regression model to convert classified beach user superpixels to beach users. The oversegmented machine learning method has previously been evaluated in the study of Hoonhout et al. (2015) for the classification of coastal images into the classes 'water', 'sand', 'objects', 'vegetation' and 'sky' and this led to the open-source toolbox Flamingo (Hoonhout and Radermacher, 2014b). The current study adapts and develops the Flamingo toolbox for the quantification of beach occupation. The impact of changing parameters of the existing toolbox on the oversegmented classification model are evaluated to obtain insight in the parameters that have to be changed to apply the toolbox to the quantification of beach occupation. The influence of the parameters: class aggregation, measures to take account for imbalances in the dataset, regularisation, number of images in the training dataset, image enhancement, addition of articial channels to enable more (new) features and the required number of features are reviewed. Especially changes in the parameters class aggregation, number of images in the training dataset and articial channels affect the overall model performance. The effect on the overall model performance of measures to account for imbalances in the dataset is limited. However, these measures can change the relative distribution of precision and recall corresponding to the false negative and positive rates respectively. The final classification model is trained and validated with a dataset containing 76 manually annotated images, default undersampling to account for the imbalance in the dataset and added articial channels. A 4-class model with classes beach users, sand water and objects proved to be the best performing class aggregation.The classified beach user superpixels are converted into a number of beach users with a regression model obtained by fitting a second order polynomial regression line to the classified beach user superpixels of the training images and the corresponding manually counted ground truth. Evaluation of the fit shows that the oversegmented machine learning method is a suitable method for quantification of beach occupation indicated by a R2 of 0.92. The regression model is validated by application of the combined oversegmented classification- and regression models on a new and 'unseen' dataset of 80 images. Validation shows that the regression model is applicable on images that are not used during development of the model (R2=0.87) and this moreover confirms the suitability of the oversegmented machine learning method. Analysis of the largest errors showed that especially unoccupied beach stretchers and images captured by an unclean lens limit the performance of the oversegmented machine learning method.The developed oversegmented machine learning method is benchmarked against one of the differences in pixel intensity methods representing the current state-of-the-art. The benchmark shows that the oversegmented machine learning method (R2=0.87) has a higher performance on the evaluated evalidation dataset compared to the method representing the current state-of-the-art (R2=0.76). The difference in performance indicates that the newly developed method is more suitable to the varying conditions associated with the Dutch coast.Tests of the oversegmented machine learning model on a different camera station than was used for training of the oversegmented classification model, did not lead to satisfactory results. This indicates that the current approach for application on camera stations not used during training is not suitable. Therefore, at this point, the oversegmented machine learning method lacks robustness with respect to the performance on multiple different camera stations. A number of possible causes for the limitedperformance are treated and provide recommendations for further research. The presented oversegmented machine learning method, despite its limitations, provides an opportunity to quantify beach occupation with a high temporal and spatial resolution in variable (weather) conditions that are known to limit the performance of the current state-of-the-art methods and are typical for the Dutch coast. The method, therefore, enables the possibility to monitor locations in conditions that with the current state-of-the-art would be diffcult to monitor
MARKETING PRACTICES, MARKET ORIENTATION AND PERFORMANCE OF TOUR FIRMS IN KENYA: A MEDIATED APPROACH
Get PDFABSTRACT The study objectives was to assess the mediating effect of marketing practices on therelationship between market orientation and performance of tour firms in Kenya. Extant literaturesuggests that the relationship between market orientation and firm performance may be mediated.While the conceptual arguments for such a relationship are well established, empirical evidence onthe precise nature of this link has been both limited and ambiguous. The current study providesfurther evidence on the positive links between market orientation and firm performance through amediated approach. The study population comprised 104 tour firms registered with KenyaAssociation of Tour Operators. A descriptive cross-sectional survey was used. Primary data werecollected using semi-structured questionnaires. Data were analyzed using descriptive statistics,inferential statistics and regression analysis. The results of the study revealed a mediating effect ofmarketing practices on the market orientation and firm performance relationship. Specifically, theresults show that marketing practices partially mediate the market orientation and firmperformance relationship as R2 increased from .307 to .634. The regression coefficient reducedfrom .575 to .572 and was statistically significant at 0.05 level of significance. The study offeredfurther credence into the positive relationship between market orientation, marketing practices andperformance through a mediation approach in Kenyan tour firms.Keywords: Marketing practices, market orientation, tourism, tour firms, firm performanc
Loss of the tumor suppressor SMARCA4 in small cell carcinoma of the ovary, hypercalcemic type (SCCOHT)
Get PDFabstract: Small cell carcinoma of the ovary, hypercalcemic type (SCCOHT), is a rare and understudied cancer with a dismal prognosis. SCCOHT's infrequency has hindered empirical study of its biology and clinical management. However, we and others have recently identified inactivating mutations in the SWI/SNF chromatin remodeling gene SMARCA4 with concomitant loss of SMARCA4 protein in the majority of SCCOHT tumors. Here we summarize these findings and report SMARCA4 status by targeted sequencing and/or immunohistochemistry (IHC) in an additional 12 SCCOHT tumors, 3 matched germlines, and the cell line SCCOHT-1. We also report the identification of a homozygous inactivating mutation in the gene SMARCB1 in one SCCOHT tumor with wild-type SMARCA4, suggesting that SMARCB1 inactivation may also play a role in the pathogenesis of SCCOHT. To date, SMARCA4 mutations and protein loss have been reported in the majority of 69 SCCOHT cases (including 2 cell lines). These data firmly establish SMARCA4 as a tumor suppressor whose loss promotes the development of SCCOHT, setting the stage for rapid advancement in the biological understanding, diagnosis, and treatment of this rare tumor type.The final version of this article, as published in Rare Diseases, can be viewed online at: http://www.tandfonline.com/doi/full/10.4161/2167549X.2014.96714
A multi-city study on structural characteristics of bicycle networks
No full textBicycle networks are made up of different types of infrastructure for cars, bikes and mixed use, which has resulted in various definitions being used to describe them. However, it’s crucial to bring these definitions together to understand the structural differences among them and the impact of choices and investments in bike infrastructure. This study examines different definitions of bicycle networks in 47 cities, analysing scaling effects and various network metrics for four different definitions. Understanding structural characteristics of different bicycle networks definitions contributes to the body of knowledge necessary for design interventions by policymakers
«Abuelos de negra estirpe». Cuerpo, oralidad e identidad en María Teresa Ramírez, María Elcina Valencia y Nena Cantillo
No full textThe term “Afro-Colombian literature” refers to a concept under construction for which each author contributes their particular vision. In this paper, we promote a dialogue with three authors who share the place of enunciation of the black woman: María Teresa Ramírez (1944) in La noche de mi piel, María Elcina Valencia (1963) in Pentagrama de pasión, and Nena Cantillo (1981) in Aquella noche con Winnie the Pooh. We choose three axes: body, orality and identity. Regarding the body, in the three books the woman is associated with nature, although it varies greatly in the relationship with the male body. Orality is very present in the three works, although in different ways: connection with ancestral songs, with the sounds of nature and with the colloquial speech of the city, respectively. In terms of identity, we find great differences between Ramírez's pan-Africanist vision, Valencia's ecosophy and Cantillo's radical openness. In the conclusions, we discuss the variety of approaches, the possible causes and the richness that they contribute to the concept of “Afro-Colombianity”.El término «poesía afrocolombiana» se refiere a un concepto en construcción para el que cada autor aporta su visión particular. En el presente artículo, establecemos un diálogo con tres autoras que comparten el lugar de enunciación de la mujer negra: María Teresa Ramírez (1944) en La noche de mi piel, María Elcina Valencia (1963) en Pentagrama de pasión y Nena Cantillo (1981) en Aquella noche con Winnie the Pooh. Para ello, trabajamos en torno a tres ejes: cuerpo, oralidad e identidad. Respecto al cuerpo, en los tres libros la mujer se asocia a la naturaleza, aunque varía mucho en la vinculación con el cuerpo masculino. La oralidad está muy presente en las tres obras, pero en diferentes formas: conexión con cantos ancestrales, con los sonidos de la naturaleza y con el habla coloquial de la urbe, respectivamente. En cuanto a la identidad, encontramos grandes diferencias entre la visión panafricanista de Ramírez, la ecosofía de Valencia y la apertura radical de Cantillo. En las conclusiones, discutimos la variedad de enfoques, las posibles causas y la riqueza que aportan para el concepto de «afrocolombianidad»
Author Correction: Failure of human rhombic lip differentiation underlies medulloblastoma formation
No full textIn the version of this article initially published, the surname of author Achille Iolascon was misspelled as Lolascon. The name has been corrected in the HTML and PDF versions of the article..link_to_subscribed_fulltex
"Micimackó effektus", vagy társadalmi szükséglet (A tudományos tájékoztatás szükségességéről és hasznosságáról)
No full textThe author opens a discussion about the article of G. RÖZSA entitled The information revolution, or the „double Winnie-the-Pooh effect?" He raises questions especially as regards the validity of following statements of RÓZSA, namely that a) the information explosion is caused not by the objectively motivated increase of the current flow of new information but by the unnecessary duplication of information in various publications, and b) scientific information is not adapted to face successfully the consequences of the information explosion. The article proves that — although the publication of primary information could and should be improved - the current increase of the number of published useful information, the differentiation of its form and in many cases even its repeated publication is an objective necessity. Based upon this argumentation, the author demonstrates the need of scientific information, emphasizing that any one or even a few information services cannot by themselves solve the problem of optimal utilization of information, taking into consideration its increasing volume and diversity. To serve this purpose a variety of target-oriented information services are needed and the users must be much better aware of the existence and potential of these services. Contrary to the view expressed by RÓZSA, the author does not consider the attitude of scientific information centres to make directly use of their own services to be a deficiency but a necessary and rational way of action.A szerző vitába száll RÓZSA György: Információs forradalom, vagy „kettős Micimackó-effektus"? c. cikkének azokkal az állításaival, amelyek szerint egyfelől az „információrobbanásért" nem az információk számának objektíve indokolt növekedése, hanem a feleslegesen közreadott publikációk a felelősek, másfelől pedig a tudományos tájékoztatás alkalmatlan az információrobbanás következményeinek leküzdésére. A cikk bizonyítja, hogy - bár lehet és kell is intézkedéseket tenni a szakirodalmi közreadás tervszerűbbé és eredményesebbé tétele érdekében — a közreadott hasznos információk számának növekedése, formai differenciálódása, sőt sok esetben többszörös közlése is objektív szükségszerűség. Ebből kiindulva bizonyítja a tudományos tájékoztatás szükségességét. Hangsúlyozza, hogy nincs egyetlen vagy néhány olyan tájékoztatási szolgáltatás, amely önmagában képes lenne megoldani a növekvő számú és egyre sokrétűbb formájú információk optimális hasznosítását, hanem e célra a tájékoztatási szolgáltatások változatosságára, célra orientált jellegére és a felhasználókkal való jobb megismertetésére van szükség. Megállapítja, hogy helytálló Rózsának az a megállapítása, hogy a tudományos tájékoztató szolgálatok növekvő mértékben használják fel saját szolgáltatásaikat, ez azonban - Rózsa kiváló véleményével szemben - nem hiányosság, hanem helyes és racionális eljárás
