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Time to Teach Taíno Heritage: A Perfect Intersection of Deep Information Literacy, Native American & Indigenous Studies and OER
(2024-06-09) Espinal, Isabel
In the Fall of 2023, as the librarian for both Latin American, Caribbean & Latinx Studies as well as Native American & Indigenous Studies, I taught a 1-credit Honors seminar titled “We are not extinct!’ Taíno culture and survivance in the past, present and future.” The course was partially supported by funding from the Digital Library of the Caribbean OER initiative to produce an open access syllabus. It engaged deep information literacy and offered the possibility for a future student co-authored OER. We looked at how knowledge about Taíno culture thrived but was also threatened by violence, the myth of extinction, and “paper genocide.” Three Taino speakers visited the class and the campus as part of the campus observation of Native American Heritage Month. These courses are intended to inspire a love of learning and to facilitate contact between students and faculty in a small, seminar-style setting. They also incorporate specific skills into the curriculum that will help prepare students for the Honors thesis, including writing in general, writing abstracts and literature reviews, competence in research, definition of a research question, computer literacy, presenting research results, and public speaking. This is a perfect opportunity for librarians.
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Analysis of Factors Contributing to Antenatal Corticosteroid Administration in Threatened Preterm Labor
(Wolters Kluwer Health, Inc., 2023-05) Bode, Leah; McKinzie, Alexandra; Gidia, Nadia; Ibrahim, Sherrine; Haas, David
INTRODUCTION: Antenatal corticosteroids (ACS) are recommended for pregnant persons at risk for imminent preterm delivery within 7 days. Many diagnosed with threatened preterm labor (tPTL) are given ACS but do not deliver until term. The objective of this study was to analyze characteristics of those seen for tPTL who receive ACS to better understand clinical decision-making. METHODS: This retrospective cohort study consisted of patients seen in triage at an urban hospital caring for underserved patients in 2021 for tPTL during pregnancy. Demographic variables (maternal age, race and ethnicity, prior preterm delivery) and obstetric variables (cervical dilation, effacement, membrane rupture, tocolytic administration) were evaluated against the primary outcome of ACS administration. RESULTS: Two hundred ninety pregnant people with 372 unique encounters for tPTL were identified. The mean gestational age at presentation was 33.5 weeks. 107 patients in 111 encounters received ACS, which was associated with lower body mass index (BMI), greater cervical dilation and effacement, membrane rupture, and more frequent contractions (all P<.01). Logistic regression, limited to first encounter in triage, found that BMI (odds ratio 0.91, 95% CI 0.87–0.95), cervical dilation 2 cm or greater (2.49, 1.12–5.35), and cervical effacement 50% or higher (4.80, 2.25–10.24) were significantly associated with patients receiving ACS. Forty-four percent of those receiving ACS delivered within 7 days, compared to 11% of those who did not receive ACS (P<.001). CONCLUSION: Greater cervical dilation and effacement and a lower BMI were associated with ACS administration, although most patients receiving ACS did not deliver within 7 days. These findings will contribute to developing a clinical decision model for administering ACS.
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Charting Paths for Neural Tech: A Case Study Implicating Neuralink
(2024-06-14) Martinez, Emanuel
Brain implants are a technology long implicated with concern to humanity. If one asks, what would be a therapeutic reasoning besides enacting control over a person’s brain, they need not look further than the cochlear implant. Such a device is used to permit an auditory sense for individuals affected by loss of hearing in situations where it is deemed the only solution. A case study of modern neural technology is presented here as a scope with socio-cultural analysis, ethics, governance, industry, and the modern market in mind. Activities by Neuralink are described with considerations relevant to the society of the United States in which the company resides. The efforts of this study seek to provide a comprehensive outlook to assist with guiding the future of research practice in neural technology.
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Analysis of Factors Contributing to Antenatal Corticosteroid Administration in Threatened Preterm Labor
(2022-07) Bode, Leah; McKinzie, Alexandra; Gidia, Nadia; Ibrahim, Sherrine; Haas, David
Introduction: Antenatal corticosteroids (ACS) are recommended for pregnant persons who are between 24 and 36+6/7 weeks’ gestational age (GA) and at risk for imminent delivery within 7 days. Many individuals diagnosed as having threatened preterm labor (tPTL) are given ACS but do not deliver until they reach term. This study aimed to describe characteristics of those seen for tPTL who receive ACS to better understand clinical decision-making. Methods: This retrospective cohort study consisted of mothers seen in triage at Eskenazi Hospital in 2021 for tPTL during pregnancy. Multiple demographic variables were evaluated against the primary outcome of ACS administration including maternal age, race/ethnicity, and prior preterm delivery, as well as obstetrical variables such as cervical dilation, effacement, membrane rupture, and tocolytic administration. Results: After exclusions, a cohort of 290 pregnant people with 372 unique encounters remained. The average maternal age was 26.7, and 15.6% of patients had a history of prior preterm birth. 107 patients in 111 encounters received ACS, which were associated with lower BMI, greater cervical dilation, greater effacement, membrane rupture, and more frequent contractions (all p<0.01). The mean GA at triage was 33.5 weeks. Logistic regression, adjusting for significant factors in the univariable analysis, found that BMI (OR 0.93, 0.89-0.97), cervical dilation (OR 1.34, 1.07-1.71), and cervical effacement (OR 1.02, 1.01-1.03) were significantly associated with giving ACS. 44% of those receiving ACS delivered within 7 days, compared to 11% of those who did not receive ACS (p<0.001). Conclusion: Greater cervical dilation and effacement and a lower BMI were associated with ACS administration, though most patients receiving ACS still did not deliver within 7 days. These findings will be further categorized and used to develop a clinical decisional model for administering ACS in those likely to imminently deliver preterm. Presentation recording available online: https://media.dlib.indiana.edu/media_objects/3b5922009
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A neurotechnological aid for semi-autonomous suction in robotic-assisted surgery
(Springer, 2022-03-16) Barragan, Juan Antonio; Yang, Jing; Yu, Denny; Wachs, Juan P.; Surgery, School of Medicine
Adoption of robotic-assisted surgery has steadily increased as it improves the surgeon’s dexterity and visualization. Despite these advantages, the success of a robotic procedure is highly dependent on the availability of a proficient surgical assistant that can collaborate with the surgeon. With the introduction of novel medical devices, the surgeon has taken over some of the surgical assistant’s tasks to increase their independence. This, however, has also resulted in surgeons experiencing higher levels of cognitive demands that can lead to reduced performance. In this work, we proposed a neurotechnology-based semi-autonomous assistant to release the main surgeon of the additional cognitive demands of a critical support task: blood suction. To create a more synergistic collaboration between the surgeon and the robotic assistant, a real-time cognitive workload assessment system based on EEG signals and eye-tracking was introduced. A computational experiment demonstrates that cognitive workload can be effectively detected with an 80% accuracy. Then, we show how the surgical performance can be improved by using the neurotechnological autonomous assistant as a close feedback loop to prevent states of high cognitive demands. Our findings highlight the potential of utilizing real-time cognitive workload assessments to improve the collaboration between an autonomous algorithm and the surgeon.