Oral history interview with Marisue Meyer

Abstract provided by interviewer Samantha Butke. Marisue Meyer attended Abilene Christian University in Abilene, Texas in the 1960s. Abilene Christian prides itself on providing a Christian education to all of its students and has a reputation of students meeting their future husbands, wives, or partners while at school. Marisue explains her dorm life at Abilene Christian University, the expectations of women at the time, her education, and her experience growing up. She explains the rules dormitories at ACU had while she was a student there and how it related to dating, she also goes into the role women were expected to take on in marriage and outside of marriage. Marisue also goes into her education and how she admired her female teachers’ examples, she also explains how technology has changed some aspects of everyday life, and marisue explains how she is not, what is considered to be a “typical woman” and how that may or may not have affected her in the past or present. She explains some of her philosophy on life and how when times change, you have to change with them, she also goes into self-confidence as she gives advice to the next generation of ACU women students. This interview provides a primary source on ACU’s student life, the gendered expectations of the time, how things were done, what was taught at the time, what was thought of at the time, and how things have changed over time. It provides a non-typical woman’s outlook of women’s role in society and how, who she was as a woman was not affected by outside influences

Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping

Whole-slide image analysis via the means of computational pathology often relies on processing tessellated gigapixel images with only slide-level labels available. Applying multiple instance learning-based methods or transformer models is computationally expensive as, for each image, all instances have to be processed simultaneously. The MLP-Mixer is an under-explored alternative model to common vision transformers, especially for large-scale datasets. Due to the lack of a self-attention mechanism, they have linear computational complexity to the number of input patches but achieve comparable performance on natural image datasets. We propose a combination of feature embedding and clustering to preprocess the full whole-slide image into a reduced prototype representation which can then serve as input to a suitable MLP-Mixer architecture. Our experiments on two public benchmarks and one inhouse malignant lymphoma dataset show comparable performance to current state-of-the-art methods, while achieving lower training costs in terms of computational time and memory load. Code is publicly available at https://github.com/butkej/ProtoMixer.Comment: The final authenticated publication is available online at https://doi.org/10.1007/978-3-031-45676-3_1

Validation of novel multiplex technologies

The parallel analysis of multiple factors, such as cytokines, from small sample size is an interesting approach for assessment of in vivo activation signatures and functionality after ex vivo stimulation. One interesting application is for therapy monitoring, such as safety data, pharmacodynamics, evidences for mode-of-action and side effects, particularly useful for accompanying early phase clinical trials. There are different platforms for Multiplex analysis of ligands available. We compared in this study the performance of three different platforms (Luminex Bio-Plex® 200, MesoScale Discovery®, Ella®) which use different ways of achieving parallel measurements of biomarkers from small liquid sample size. We show examples of in house assessment of intra- and inter-assay variations, determination of range and recovery for classical immunological serum markers and discuss advantages and disadvantages for these three platforms in relation to the question addressed

Using remote sensing to assess the relationship between crime and the urban layout

[EN] The link between place and crime is at the base of social ecology theories of crime that focus in the relationship of the characteristics of geographical areas and crime rates. The broken windows theory states that visible cues of physical and social disorder in a neighborhood can lead to an increase in more serious crime. The crime prevention through environmental design (CPTED) planning approach seeks to deter criminal behavior by creating defensible spaces. Based on the premise that a settlement's appearance is a reflection of the society, we ask whether a neighborhood's design has a quantifiable imprint when seen from space using urban fabric descriptors computed from very high spatial-resolution imagery. We tested which land cover, structure and texture descriptors were significantly related to intra-urban homicide rates in Medellin, Colombia, while controlling for socioeconomic confounders. The percentage of impervious surfaces other than clay roofs, the fraction of clay roofs to impervious surfaces, two structure descriptors related to the homogeneity of the urban layout, and the uniformity texture descriptor were all statistically significant. Areas with higher homicide rates tended to have higher local variation and less general homogeneity; that is, the urban layouts were more crowded and cluttered, with small dwellings with different roofing materials located in close proximity to one another, and these regions often lacked other homogeneous surfaces such as open green spaces, wide roads, or large facilities. These results seem to be in agreement with the broken windows theory and CPTED in the sense that more heterogeneous and disordered urban layouts are associated with higher homicide rates.This research was made possible by funding from EAFIT University (EAFIT-435-000060) and the Medellin City Hall EnlazaMundos program. The authors thank the anonymous reviewers and Hermilson Velazquez, Andr es Ramírez Hassan and Gustavo Canavire for their insightful observations and suggestions during the different stages of this projectPatiño Quinchía, JE.; Duque, JC.; Pardo Pascual, JE.; Ruiz Fernández, LÁ. (2014). Using remote sensing to assess the relationship between crime and the urban layout. Applied Geography. 55:48-60. https://doi.org/10.1016/j.apgeog.2014.08.016S48605

Agronomic evaluation of varieties of sugar cane inoculated with diazotrophic bacteria and fertilized with nitrogen

O objetivo deste trabalho foi avaliar a eficiência da inoculação de bactérias diazotróficas e da adubaçãonitrogenada, em duas variedades de cana‑de‑açúcar, cultivadas nas mesmas condições edafoclimáticas. O experimento foi conduzido durante os anos agrícolas de 2006/2007 e 2008/2009, em delineamento experimental de blocos ao acaso, com quatro repetições, instalado em março de 2006 em área de cultivo comercial, no Município de Campos dos Goytacazes, RJ. Os tratamentos foram: inoculação com bactérias diazotróficas, adubação com 120 kg ha‑1 de N, e o controle sem inoculação e sem adubação com nitrogênio. As variedades de cana‑de‑açúcar avaliadas foram RB72454 e RB867515. O inoculante continha estirpes de cinco espécies de bactérias diazotróficas. Foram feitas avaliações quanto à produtividade de colmos frescos, ao acúmulo de matéria seca total, ao N total da parte aérea e quanto à abundância natural de 15N do N disponível no solo e na cana‑de‑açúcar. As variedades apresentaram comportamentos distintos com os tratamentos, em que a RB867515 foi responsiva e a RB72454 não responsiva àinoculação e à adubação nitrogenada. Na variedade RB867515, o crescimento e o acúmulo de N total na parte aérea das plantas, promovidos pela inoculação, foram similares aos do tratamento com adubação nitrogenada.The objective of this work was to evaluate the efficiency of inoculation with diazotrophic bacteria and nitrogen fertilization, in two varieties of sugarcane grown under the same edaphic and climatic conditions. The experiment was carried out during the agricultural years 2006/2007 and 2008/2009, in a randomized block design with four replicates, installed in March 2006 in an area of commercial cultivation in Campos dos Goytacazescity, in Rio de Janeiro state, Brazil. The treatments were: inoculation with diazotrophic bacteria, fertilization with120 kg ha‑1 N, and a control without inoculation and without nitrogen fertilization. The sugarcane varieties evaluated were RB72454 and RB867515. The inoculant was composed of five strains of diazotrophic bacteria. Evaluations were done for fresh stalk yield, total dry matter accumulation, total N of shoots, and 15N natural abundance from available N in the soil and in sugarcane. The varieties performed differently to treatments, in which RB867515 was responsive and RB72454 unresponsive to inoculation and nitrogen fertilization. In the variety RB867515, growth and accumulation of total N in the shoots, promoted by inoculation, were similar to the ones in the treatment with N fertilization

Criteria for environmental decisions

Typescript (photocopy).Digitized by Kansas Correctional Industrie

Assessing Expressive Movement: Measuring Student Learning Outcomes in the General Music Classroom

Expressive movement, created by students to demonstrate musical elements and artistry, provides a valid assessment opportunity for general music teachers. This purposeful movement, plastique animée, was developed by Swiss composer, Émile Jaques-Dalcroze, in the early 20th century. Plastique animée can serve as a useful tool, allowing teachers to observe an authentic, artistic musical experience for assessment purposes. Rubrics are based on predetermined criteria involving music elements, creativity, and expression. Students can self-assess by viewing a video recording of the movement and answering questions about the plastique animée experience. This article explains plastique animée and the process of implementation; provides two rubrics for assessing expressive, purposeful movement; and lists self-assessment questions and procedures. By assessing both objective and subjective elements, teachers and students can receive beneficial feedback regarding how a student comprehends musical concepts and demonstrates expressivity. </jats:p

Deep Learning Ansätze für die spektrale und morphologische Charakterisierung von Krebs in Zellen und Gewebe

Die computergestützte Pathologie befasst sich hauptsächlich mit der Analyse von Gewebebildern zur Erforschung von Krankheiten. Die Entwicklung von neuartigen Entscheidungshilfesystemen ist eine Möglichkeit, die personalisierte Medizin zu fördern und Differenzialdiagnosesysteme für die Früherkennung oder Vorhersage des Therapieansprechens und der Charakterisierung von Krankheiten zu ermöglichen. Mit den jüngsten Fortschritten in der (markierungsfreien) digitalen Pathologie, können herkömmliche Objektträger mit Patientenproben in Gigapixelbilder digitalisiert werden. In dieser Arbeit werden neue Deep-Learning-Ansätze aus dem Bereich des Repräsentations- und dem Lernen mit mehreren Instanzen vorgestellt. Durch das Erlernen robuster Repräsentationen von Merkmalen auf hoher Ebene oder das Finden von Schlüsselelementen innerhalb der Daten können Gigapixelbilder effektiv analysiert werden.Computational pathology is mainly concerned with the analysis of microscopic images of tissue for the study of disease. The development of novel, computational decision support systems is one way to further personalized medicine efforts and enable differential diagnosis systems for early detection or therapy response prediction and characterization of diseases such as colorectal or urothelial carcinoma. With recent advances in (label-free) digital pathology, conventional glass slides carrying patient specimens can now be digitized into gigapixel whole slide images. This work presents novel deep learning approaches from the realm of representation and multiple instance learning to characterize cancer in cells and tissues from an infrared spectral and morphological perspective. By either learning robust representations of high-level features or finding key elements within the data instances, whole slide images can be analyzed effectively