IUPUC Division of Science Scholarship

Permanent URI for this collection

Journal articles, book chapters, reports, posters, presentations and other works by the IUPUC Division of Science faculty, staff and students.


Recent Submissions

Now showing 1 - 10 of 17
  • Item
    Current contributions to the systematics of Thraulodes Ulmer 1920 (Ephemeroptera: Leptophlebiidae)
    (Magnolia Press, 2021-12) Jacobus, Luke M.; IUPUC Division of Science
  • Item
    Associations between infant–mother physiological synchrony and 4- and 6-month-old infants’ emotion regulation
    (Wiley, 2021-09) Abney, Drew H.; daSilva, Elizabeth B.; Bertenthal, Bennet I.; IUPUC Division of Science
    In this study we assessed whether physiological synchrony between infants and mothers contributes to infants’ emotion regulation following a mild social stressor. Infants between 4 and 6 months of age and their mothers were tested in the face-to-face-still-face paradigm and were assessed for behavioral and physiological self-regulation during and following the stressor. Physiological synchrony was calculated from a continuous measure of respiratory sinus arrhythmia (RSA) enabling us to cross-correlate the infants’ and mothers’ RSA responses. Without considering physiological synchrony, the evidence suggested that infants’ distress followed the prototypical pattern of increasing during the Still Face episode and then decreasing during the reunion episode. Once physiological synchrony was added to the model, we observed that infants’ emotion regulation improved if mother–infant synchrony was positive, but not if it was negative. This result was qualified further by whether or not infants suppressed their RSA response during the Still Face episode. In sum, these findings highlight how individual differences in infants’ physiological responses contribute significantly to their self-regulation abilities.
  • Item
    Counseling Adolescents Aging Out of Foster Care: A Neglected and Underserved Population
    (2021) Tertocha-Ubelhor, Taylor; Russ, Brian R.; IUPUC Division of Science
    The high prevalence of youth aging out of the foster care system and the numerous poor outcomes they experience during the transition to emerging adulthood has been well documented. Although addressing the complex needs and concerns of this distinct population can be difficult, mental health counselors maintain the philosophical tenants and training strengths necessary to successfully serve youth aging out of foster care. This article aims to provide counselors with the historical context, developmental framework, and specific challenges needed to better understand this population, as well as suggested counseling implications to address their unique needs by reviewing relevant literature.
  • Item
    Annotating Modernism: Marginalia and Pedagogy from Virginia Woolf to the Confessional Poets
    (Taylor & Francis, 2021) Goodspeed-Chadwick, Julie; IUPUC School of Liberal Arts
  • Item
    The Dual Literary Biography of Sylvia Plath and Anne Sexton: A Review of Three-Martini Afternoons at the Ritz: The Rebellion of Sylvia Plath and Anne Sexton by Gail Crowther
    (Indiana University, 2021-10) Goodspeed-Chadwick, Julie; IUPUC School of Liberal Arts
    This book review provides an overview of the newest biography about Sylvia Plath and Anne Sexton.
  • Item
    Associations between acoustic features of maternal speech and infants’ emotion regulation following a social stressor
    (Wiley, 2022-01) Kolacz, Jacek; daSilva, Elizabeth B.; Lewis, Gregory F.; Bertenthal, Bennett I.; Porges, Stephen W.; IUPUC Division of Science
    Caregiver voices may provide cues to mobilize or calm infants. This study examined whether maternal prosody predicted changes in infants’ biobehavioral state after the still face, a stressor in which the mother withdraws and reinstates social engagement. Ninety-four dyads participated in the study (infant age 4–8 months). Infants’ heart rate and respiratory sinus arrhythmia (measuring cardiac vagal tone) were derived from an electrocardiogram (ECG). Infants’ behavioral distress was measured by negative vocalizations, facial expressions, and gaze aversion. Mothers’ vocalizations were measured via a composite of spectral analysis and spectro-temporal modulation using a two-dimensional fast Fourier transformation of the audio spectrogram. High values on the maternal prosody composite were associated with decreases in infants’ heart rate (β = −.26, 95% CI: [−0.46, −0.05]) and behavioral distress (β = −.23, 95% CI: [−0.42, −0.03]), and increases in cardiac vagal tone in infants whose vagal tone was low during the stressor (1 SD below mean β = .39, 95% CI: [0.06, 0.73]). High infant heart rate predicted increases in the maternal prosody composite (β = .18, 95% CI: [0.03, 0.33]). These results suggest specific vocal acoustic features of speech that are relevant for regulating infants’ biobehavioral state and demonstrate mother–infant bi-directional dynamics.
  • Item
    Book Review—My Life with a Theory: John L. Holland’s Autobiography and Theory of Careers
    (NBCC, 2021-01) Carr, Darrin; IUPUC Division of Science
  • Item
    A Method for Measuring Dynamic Respiratory Sinus Arrhythmia (RSA) in Infants and Mothers
    (Elsevier, 2021-05) Abney, Drew H.; daSilva, Elizabeth B.; Lewis, Gregory F.; Bertenthal, Bennett I.; IUPUC Division of Science
    The measurement of respiratory sinus arrythmia (RSA) in infants, children and adults is critical to the study of physiological regulation, and more recently, interpersonal physiological covariation, but it has been impeded by methods that limit its resolution to 30 s or longer. Recent analytical developments have suggested methods for studying dynamic RSA in adults, and we have extended this work to the study of infants and mothers. In the current paper, we describe a new analytical strategy for estimating RSA time series for infants and adults. Our new method provides a means for studying physiological synchrony in infant-mother dyads that offers some important advantages relative to existing methods that use inter-beat-intervals (e.g. Feldman, Magori-Cohen, Galili, Singer, & Louzoun, 2011). In the middle sections of this paper, we offer a brief tutorial on calculating RSA continuously with a sliding window and review the empirical evidence for determining the optimal window size. In order to confirm the reliability of our results, we briefly discuss testing synchrony by randomly shuffling the dyads to control for spurious correlations, and also by using a bootstrapping technique for calculating confidence intervals in the cross-correlation function. One important implication that emerges from applying this method is that it is possible to measure both positive and negative physiological synchrony and that these categorical measures are differentially predictive of future outcomes.
  • Item
    New Ohio and Indiana Records of Aquatic Insects (Ephemeroptera, Plecoptera, Trichoptera, Coleoptera: Elmidae, Diptera: Chironomidae)
    (2019) Bolton, Michael J.; Macy, Sarah K.; DeWalt, R. Edward; Jacobus, Luke M.; IUPUC Division of Science
    New state records and additional locations for rarely collected species are reported for Ephemeroptera (mayflies), Plecoptera (stoneflies), Trichoptera (caddisflies), Coleoptera: Elmidae (riffle beetles), and Diptera: Chironomidae (chironomids, non-biting midges, midges). These specimen records result primarily from Ohio Environmental Protection Agency biomonitoring of Ohio streams and from records found in the Purdue University Entomological Research Collection and the Illinois Natural History Survey Insect Collection; a few records were derived from material housed in two other collections. New state records for Ohio consist of the mayflies Acentrella rallatoma Burian & Myers, Acerpenna pygmaea (Hagen), Anafroptilum album (McDunnough), Anafroptilum minor group species 1, Anafroptilum minor group species 2, Anafroptilum victoriae (McDunnough), Heterocloeon (Jubilatum) species B McCafferty et al., Heterocloeon (Jubilatum) species D McCafferty et al., Labiobaetis longipalpus (Morihara & McCafferty), Plauditus punctiventris (McDunnough), Ephemera guttulata Pictet, Habrophlebia vibrans Needham, and Anthopotamus verticis (Say); the stonefly Isoperla frisoni Illies; the caddisflies Brachycentrus nigrosoma (Banks), Homoplectra doringa (Milne), Ceraclea nepha (Ross), and Fabria inornata (Banks); the riffle beetle Oulimnius nitidulus (LeConte); and the chironomids Cricotopus (Isocladius) sp. “Ozarks” Epler, Cricotopus (Isocladius) sp. “Santa Fe” Epler, Fittkauimyia sp. [probably F. serta (Roback)], Parakiefferiella sp. F Epler, and Saetheria hirta Sæther. A previous report of the mayfly Macdunnoa persimplex (McDunnough) from the Ohio River, adjacent to Ohio, is substantiated with record data. The caddisfly Goerita betteni Ross is confirmed in Ohio. New state records for Indiana consist of the mayflies Heterocloeon (Jubilatum) species D McCafferty et al. and Leucrocuta walshi (McDunnough) and the chironomids Cricotopus (Isocladius) sp. “Ozarks” and Fittkauimyia sp. [probably F. serta (Roback)]. Recent Indiana records of the mayflies Homoeoneuria ammophila (Spieth) and Pentagenia vittigera (Walsh) are also included because these species are rarely collected and most existing records are old. These records represent significant range extensions north for Cricotopus (Isocladius) sp. “Santa Fe” Epler, Fittkauimyia sp. [probably F. serta (Roback)], Parakiefferiella sp. F Epler, and Saetheria hirta Sæther.
  • Item
    An EEG based Channel Optimized Classification Approach for Autism Spectrum Disorder
    (IEEE, 2019) Haputhanthri, Dilantha; Brihadiswaran, Gunavaran; Gunathilaka, Sahan; Meedeniya, Dulani; Jayawardena, Yasith; Jayarathna, Sampath; Jaime, Mark; IUPUC Division of Science
    Autism Spectrum Disorder (ASD) is a neurodevelopmental condition which affects a person's cognition and behaviour. It is a lifelong condition which cannot be cured completely using any intervention to date. However, early diagnosis and follow-up treatments have a major impact on autistic people. Unfortunately, the current diagnostic practices, which are subjective and behaviour dependent, delay the diagnosis at an early age and makes it harder to distinguish autism from other developmental disorders. Several works of literature explore the possible behaviour-independent measures to diagnose ASD. Abnormalities in EEG can be used as reliable biomarkers to diagnose ASD. This work presents a low-cost and straightforward diagnostic approach to classify ASD based on EEG signal processing and learning models. Possibilities to use a minimum number of EEG channels have been explored. Statistical features are extracted from noise filtered EEG data before and after Discrete Wavelet Transform. Relevant features and EEG channels were selected using correlation-based feature selection. Several learning models and feature vectors have been studied and possibilities to use the minimum number of EEG channels have also been explored. Using Random Forest and Correlation-based Feature Selection, an accuracy level of 93% was obtained.