The Tragedy of Jacob by Dena Curtis

On the fifth May this year, Dena Curtis’ striking short film, Jacob, turns nine. Also commemorating its ninth anniversary on the thirteenth of February this year is the Rudd government’s apology to the Aboriginal and Torres Strait Islander community for the tragedies that unfolded throughout the Stolen Generations. Perhaps these two dates are what inspired the airing on the twelfth of April of Jacob in NITV’s The New Black, a compilation of short films directed by Aboriginal and Torres Strait Islander individuals, exploring culture, country and history. Perhaps the program was aired simply to remind the Australian public of the expansive talents of this land’s Indigenous peoples

Effectiveness of the development and implementation of a nurse-led diabetic foot screening clinic

Diabetic foot ulcers are a common health complication in patients with Type 2 diabetes mellitus. Evidence demonstrates the most effective method of reducing the development of such complication is early screening and detection of the disease. Nevertheless, regular foot screenings are not a common occurrence among patients with Type 2 diabetes mellitus in outpatient settings in Puerto Rico. A nurse-led diabetic foot screening clinic was developed in a local outpatient clinic. The project objective was to implement a foot screening protocol for all Type 2 diabetes mellitus patients age 18 years or older as a method of preventing the development of a diabetic foot ulcer. In addition, this project helped detect a patient’s risk level of developing diabetic foot ulcers and provided patients with foot care management education as part of their yearly checkup. The implementation of the nurse-led diabetic foot screening was piloted amongst a small group of patients. The project was evaluated by utilizing Donabedian’s (2003) framework. Donabedian’s (2003) framework assisted in identifying advantages and disadvantages of implementing new healthcare activities in patient care. In this capstone project, various outcomes were evaluated before, during, and after the implementation of this project. The results demonstrated the need for a nurse-led diabetic foot screening iv clinic. The results of this project are not final since the project was not fully implemented and is considered a pilot study. Further work is needed to evaluate the viability of this protocol in other outpatient clinic settings to determine the most effective type of approach

Migrant Minds: A Proposed Explorative Survey Examining Cultural Barriers and Mental Health Aid in Mexican Immigrant Women

Women on the Move (WOM) are an at-risk population of women who leave their home countries with the hope of a better quality of life (QOL). WOM is a wide umbrella term and for this paper, it encompasses documented, undocumented, migrating, immigrating, and emigrating women. This proposal focuses on Mexican WOM and their mental health; to better understand their experiences with professional mental health in the United States and any barriers they face. This topic is under-researched, and the quantitative studies on the topic are prone to “frequently inconsistent and contradictory” generalizations. This exploratory study will collect qualitative data. By using Braun & Clark\u27s (2006) thematic approach to data analysis, we will be able to formulate themes that start to answer the question: How do Mexican migrant women make decisions about professional mental health seeking, and what barriers do they experience in seeking mental health help? My proposed study will add to the limited literature based on Mexican women migrants and their mental health. This proposal strives to offer insight, from first-hand sources, to help better accommodate immigrants, and thus help formulate recommendations for mental health professionals to design more effective depression treatments that are better informed

The timing and duration of estradiol on social behavior and gene expression in mature adult and aging female rats

Menopause causes declines in ovarian hormones such as estrogens and progesterone. During the menopausal transition, women may experience adverse symptoms such as anxiety, depression and lack of desire to interact. However, since the publication of the Women’s Health Initiative (WHI) many women have been left asking questions about whether, when, and how long to take hormone treatments for menopausal symptoms. This dissertation focuses on the effects of timing and duration of estradiol (E2) relative to loss of ovarian hormones (OVX) on the social brain and behavior in mature adult (MAT) and aging (AG) female rats. The results from these studies illustrated that in MAT rats, 3-months of E2 given immediately following OVX decreased communications and social interactions between cagemates, as assessed in a test quantifying the number of ultrasonic vocalizations emitted, as well as time spent interacting with one another. I interpret this result to mean that the E2 animals had improved social memory. In MAT rats gene expression of the neuropeptides (Oxt, Avp, Oxtr, Avpr1a) involved in regulating social behavior were also greater in the BNST, MeA, and SON of rats treated with estradiol compared to vehicle. Because menopause typically happens at middle age, I conducted a similar experiment in middle-aged rats to assess the influence of estradiol deprivation or replacement in aging rats. Aging animals were behaviorally characterized twice (at 3 and 6-months), groups were given different timing and duration of estradiol or vehicle treatments as a model for the WHI. Similar to the MAT animals, the estradiol-treated AG rats called less than their vehicle counterparts during an ultrasonic vocalization test conducted at the 3-month testing period. However, at the 6-month testing period no differences were observed, which could be the result of aging. Oxt, Oxtr, Avp and Avpr1a showed unique gene expression patterns that were dependent upon the timing and duration of estradiol in a region-specific manner in the AG rats. Most genes were up-regulated by estradiol treatment, irrespective of timing or duration. Overall this work may benefit the field of women’s health through new knowledge on consequences of age, and the timing and duration of estrogen treatment, on the social brain and behavior.Psycholog

FIELD-SCALE GENERALITY OF THE MACHINE LEARNING MODELS

Drilling performance is directly related to fundamental aspects such as drilling variables that can affect the performance of the operation, the well stability, efficiency of drilling equipment, use of new technologies and operational parameters. Approximately 30% of the total time of construction of a well corresponds to the time rotating and sliding, in this order of ideas the optimization of the rate of penetration “ROP” has a direct impact on time and cost reduction. This reduction has as an added value: making viable economically the drilling campaigns and development of the fields. That is why one of the main objectives of the operating companies is to reduce the total time in which the true depth is reached, to reduce the costs of the operation but without affecting the main objective of the well drilling operations. To consider a good performance of the operations, many factors are involved being the rate of penetration one of the most important, without leaving behind the HSE performance, the stability of the well, integrity of the formation and final cost of the project. On the other hand, the data driven machine learning models are significantly different in conception process from physics-based models. The physic-based models try to understand the problem and propose proper models resembling he problem under certain assumptions and constraints. They seek methodology to reasonably determine the results given input. On the contrary, the machine learning models consider little about the details of the problem but train a working model mapping directly from inputs (knowns) to outputs (unknowns) through a black box of neutral networks. After that, researchers try to unveil the black box to analyze what happens there and enlighten what knowledge learned from there as to improve the model interpretability. Along the project, the relevant parameters for the machine learning predictive model were chosen considering the correlation and their dependency to ROP, the model was fed up, trained, and tested with the data set of one well and its accuracy was improved using hyperparameter tunning. After it, the algorithm was tested with five different data sets keeping constant the chosen parameters. Among them it was possible to determine that the Random Forest, Gradient Boosting and K Neighbors regressor were the ones with the highest coefficient of determination and the best performance, considering that any model in general can be improved reckoning also the importance of the learned lessons or field experience from petroleum engineering knowledge to enhance the quality of the inputs and the outputs of the model

Mosaic Atlas: Interview with Maribel Martinez

Interview with Maribel Martinez, Program Manager/Community Artist, conducted as part of the Mosaic Atlas project. Maribel identifies as Mexican American Chicano community being part of the LGBTQ community and being highly connected to indigenous heritage (cultural identity ) Topics discussed include Mexican American Chicano community, LGBTQ community, cultural stories.As part of the Mosaic Atlas project, SJSU students and faculty from the Anthropology and Geography Departments interviewed people who support and produce art throughout the Bay Area

Commentary: Get health care workers protective gear now

You are viewing a news article about Whole Communities Whole Health from April 2020.Office of the VP for Researc

Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning

Machine learning (ML) requires using energy to carry out computations during the model training process. The generation of this energy comes with an environmental cost in terms of greenhouse gas emissions, depending on quantity used and the energy source. Existing research on the environmental impacts of ML has been limited to analyses covering a small number of models and does not adequately represent the diversity of ML models and tasks. In the current study, we present a survey of the carbon emissions of 95 ML models across time and different tasks in natural language processing and computer vision. We analyze them in terms of the energy sources used, the amount of CO2 emissions produced, how these emissions evolve across time and how they relate to model performance. We conclude with a discussion regarding the carbon footprint of our field and propose the creation of a centralized repository for reporting and tracking these emissions

Processos de produção de identidades profissionais: narrativas de trajetórias de docentes com deficiência no ensino superior

The research results from the investigation carried out in the post-doctoral internship at UERJ, in 2020. The question was: How professors with disabilities been (re)building their identities in higher education? Goals: Comprehend how professors with disabilities have been producing their professional identity in higher education; To analyze whether initial and permanent formation programs have been contributing to professors with disabilities being able to produce their identities; Assess the political reasons why professors with disabilities find it difficult to produce their identities at the university. The methodology was qualitative, prioritizing the narratives of subjects with disabilities in higher education. We discussed (auto) biography, narratives and identity production. The narratives demonstrated that there are difficulties in the production of identity, considering that there are almost no professors with disabilities in higher education. Our considerations made us realize that there is a need for inclusive political actions capable of providing opportunities for professors with disabilities to enter higher education.La investigación resulta de la investigación realizada en la práctica post-doctoral en la UERJ, en el año 2020. La cuestión planteada fue: ¿Cómo los docentes con discapacidad han construyendo sus identidades en la enseñanza superior? Objetivos: Comprender cómo los docentes con discapacidad han producido su identidad profesional en la enseñanza superior; Analizar si los programas de formación inicial y permanente han contribuido para que los docentes con discapacidad puedan producir sus identidades; Evaluar las razones políticas, por las que los docentes con discapacidad encuentran dificultades para producir sus identidades en la universidad. La metodología fue cualitativa, priorizando las narrativas de los sujetos con discapacidad en la enseñanza superior. Nuestras consideraciones muestran que se necesitan acciones políticas e inclusivas capaces de proporcionar el ingreso del docente con discapacidad en la enseñanza superior.A pesquisa resulta da investigação realizada no estágio pós-doutoral na UERJ, no ano de 2020. A questão foi: Como os docentes com deficiência vem (re)construindo suas identidades no ensino superior? Objetivos: Compreender como os docentes com deficiência vem produzindo sua identidade profissional no ensino superior; Analisar se os programas de formação inicial e permanente tem contribuído para que os docentes com deficiência possam produzir suas identidades; Avaliar as razões políticas, pelas quais, os docentes com deficiência encontram dificuldades para produzir suas identidades na universidade. A metodologia foi qualitativa, priorizando as narrativas dos sujeitos com deficiência no ensino superior. Discutimos (auto)biografia, narrativas e produção de identidades. As narrativas demonstraram que há dificuldades para a produção da identidade, considerando que quase não há professores com deficiência no ensino superior. Nossas considerações nos fizeram perceber que é necessário ações políticas inclusivistas capaz de oportunizar o ingresso do docente com deficiência no ensino superior