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PDRs4All VIII. Mid-infrared emission line inventory of the Orion Bar
Get PDFContext. Mid-infrared emission features are important probes of the properties of ionized gas and hot or warm molecular gas, which are difficult to probe at other wavelengths. The Orion Bar photodissociation region (PDR) is a bright, nearby, and frequently studied target containing large amounts of gas under these conditions. Under the “PDRs4All” Early Release Science Program for JWST, a part of the Orion Bar was observed with MIRI integral field unit (IFU) spectroscopy, and these high-sensitivity IR spectroscopic images of very high angular resolution (0.2′′) provide a rich observational inventory of the mid-infrared (MIR) emission lines, while resolving the H II region, the ionization front, and multiple dissociation fronts. Aims. We list, identify, and measure the most prominent gas emission lines in the Orion Bar using the new MIRI IFU data. An initial analysis summarizes the physical conditions of the gas and demonstrates the potential of these new data and future IFU observations with JWST. Methods. The MIRI IFU mosaic spatially resolves the substructure of the PDR, its footprint cutting perpendicularly across the ionization front and three dissociation fronts. We performed an up-to-date data reduction, and extracted five spectra that represent the ionized, atomic, and molecular gas layers. We identified the observed lines through a comparison with theoretical line lists derived from atomic data and simulated PDR models. The identified species and transitions are summarized in the main table of this work, with measurements of the line intensities and central wavelengths. Results. We identified around 100 lines and report an additional 18 lines that remain unidentified. The majority consists of H I recombination lines arising from the ionized gas layer bordering the PDR. The H I line ratios are well matched by emissivity coefficients from H recombination theory, but deviate by up to 10% because of contamination by He I lines. We report the observed emission lines of various ionization stages of Ne, P, S, Cl, Ar, Fe, and Ni. We show how the Ne III/Ne II, S IV/S III, and Ar III/Ar II ratios trace the conditions in the ionized layer bordering the PDR, while Fe III/Fe II and Ni III/Ni II exhibit a different behavior, as there are significant contributions to Fe II and Ni II from the neutral PDR gas. We observe the pure-rotational H2 lines in the vibrational ground state from 0–0 S(1) to 0–0 S(8), and in the first vibrationally excited state from 1–1 S(5) to 1–1 S(9). We derive H2 excitation diagrams, and for the three observed dissociation fronts, the rotational excitation can be approximated with one thermal (∼700 K) component representative of an average gas temperature, and one nonthermal component (∼2700 K) probing the effect of UV pumping. We compare these results to an existing model of the Orion Bar PDR, and find that the predicted excitation matches the data qualitatively, while adjustments to the parameters of the PDR model are required to reproduce the intensity of the 0–0 S(6) to S(8) lines
Anomaly Detection & Classification Using Machine Learning for Campus Surveillance
No full textThis study introduces an advanced system for detecting and classifying unusual activities using machine learning, aimed at improving campus security. Instead of relying on people to constantly watch surveillance footage, which can lead to mistakes, this system uses machine learning to automatically identify and sort unusual behaviors captured by cameras. It combines Convolutional Neural Networks (CNNs) for identifying specific features and patterns in the video with Long Short-Term Memory networks (LSTMs) for understanding the sequence of events over time. This method simplifies the process of spotting and categorizing odd or suspicious activities, making it more accurate and reducing the chances of overlooking something important. The process involves preparing the video data, using CNNs to pick out important details, detecting anomalies over time with LSTMs, and then classifying them into different categories. This system is anticipated to significantly enhance the effectiveness in identifying and classifying anomalies, thereby contributing to a safer campus environment by swiftly pinpointing and addressing potential security concerns
Mosaic Atlas: Interview with Jenny Leung
Get PDFThis interview with Jenny Leung, the Executive Director of the Chinese Culture Center of San Francisco, was conducted by Jan English-Lueck as part of the Mosaic Atlas project. Jenny views her work as an advocate and voice of the community as her gift to her community. Topics discussed include the history of the Chinese Culture Center of San Francisco as inspired by the Civil Rights movement and the ongoing work of building sustainability, advocacy, and empowering the community through arts and culture programming. The Center supports various artistic expressions, from traditional arts and crafts to contemporary arts for social justice. The Center builds solidarity with other communities of color, organizing cross-cultural collaborations and advocacy efforts. As part of the Mosaic Atlas project, Mosaic Staff and Volunteers, SJSU students, and faculty from the Anthropology and Film, Theater, and Dance Departments interviewed people who support and produce art throughout the Bay Area
Mosaic Atlas: Interview with Arjun Verma
Get PDFThis interview with Arjun Verma, an Indian-American sitar artist and composer based in the Bay Area, was conducted by Sukanya Chakrabarti as part of the Mosaic Atlas project. Arjun Verma combines traditional and contemporary approaches to Indian classical music. Deeply rooted in Hindustani classical music, yoga, and Vedanta, Verma views music as a holistic expression of life and a medium for conveying emotions beyond words. He aims to preserve the classical tradition\u27s essence while innovating within its framework, offering audiences profound and transformative experiences. As a steward of this living art form, Verma highlights challenges such as limited platforms and resources for sharing Indian classical music, which is often marginalized. He envisions a future where global artistic traditions are integrated into mainstream education, fostering greater accessibility and appreciation. As part of the Mosaic Atlas project, Mosaic Staff and Volunteers, SJSU students and faculty from the Anthropology and Film, Theater, and Dance Departments interviewed people who support and produce art throughout the Bay Area
Mosaic Atlas: Interview with Leon Beauchman
Get PDFThis interview with Leon Beauchman, a singer, drummer, educator and storyteller, was conducted by Milina Jovanovic as part of the Mosaic Atlas project. Topics discussed include cultural preservation, education of new generations, artistic influences, and collaboration with other artists. As part of the Mosaic Atlas project, Mosaic Staff and Volunteers, SJSU students and faculty from the Anthropology and Film, Theater, and Dance Departments interviewed people who support and produce art throughout the Bay Area
Fountain, Anne O.
No full textB.A. With Honors in Spanish, Indiana University, 1966
M.A. in Spanish, Indiana University, 1968
Ph.D. in Spanish, Columbia University, 1973
Graduate Area Certificate, Latin American Studies, Columbia University, School of International Affairs, 1973https://scholarworks.sjsu.edu/erfa_bios/1035/thumbnail.jp
Okerlund, Arlene Naylor
Get PDFUniversity of Maryland, College Park, 1960, BA, English (Minor, Chemistry)
University of California, San Diego, 1969, PhD, English Literaturehttps://scholarworks.sjsu.edu/erfa_bios/1021/thumbnail.jp
Kallenbach, W. Warren
Get PDFStanford University, Educational Psych/Guidance, 1959 Ed.D
Stanford University, Educational Psychology, 1953 MA.
Drury College, Psychology and Education, 1949 AB magna cum laude
Washington University, St. Louis, Missouri, 1946-1947
Jefferson City Junior College, 1943-1944https://scholarworks.sjsu.edu/erfa_bios/1089/thumbnail.jp
Fallon, Michael
No full textUniversity Of San Francisco, Education-Organization-Leadership, 1985 M.A.
San Jose State University, Teaching & Administrative Credential, 1975
University Of Notre Dame, Sociology & Education, 1973 B.A.https://scholarworks.sjsu.edu/erfa_bios/1347/thumbnail.jp
Transforming the discharge conversation through support and structure: A scoping review
Get PDFBackground: System level demands and interpersonal barriers can disrupt nurse delivery of high-quality information at discharge, which can contribute to a lack of caregiver preparedness to manage care of the patient and ultimately affect patient health.
Objective: To synthesize evidence on effective nurse communication with informal caregivers during hospital discharge of adult patients with cognitive decline or Alzheimer\u27s disease and related dementia.
Design: A scoping review of inpatient nurse communication with informal caregivers.
Methods: Collected research (published between 2011 and 2023) from three databases (MEDLINE, PsycINFO, and CINAHL), along with a separate search for gray literature (N = 18), to extract and synthesize recommended communication practices evidenced to improve the nurse care experience and support caregiver activation and preparedness.
Results: Extraction synthesis of strategies resulted in two themes with corresponding sub-themes: Support (Information exchange, Space and time to determine preparedness, and Positive reinforcement of caregiver efforts) and Structure (Setting shared expectations, Informational resources, and Standardization).
Conclusions: We offer practical recommendations for both interpersonal and policy level facilitation of nurse delivery of high-quality information at discharge to caregivers of patients with serious illness