Self-harm is traditionally viewed as a physical manifestation. This study aims to broaden the scope of what constitutes self-harming behavior and the role that guilt, and redemption can play on it. The study explores non-traditional forms of self-harm, termed as culturally acceptable forms of self-harm, like over-working, procrastination, intentional absence of self-care etc. Specifically, it examines the role of guilt and redemption in motivating individuals to engage in aversive experiences (aversive sound). Participants underwent a guilt-inducing manipulation and were subsequently asked to listen to an unpleasant audio stimulus. It was hypothesized that (1) participants offered a chance for redemption would endure the aversive sound for a shorter duration than those not offered redemption, and (2) engaging in the aversive task would reduce feelings of guilt across all participants. Guilt was measured using the Guilt and Shame Questionnaire (GSQ-8) twice, before the guilt-inducing manipulation, and post the aversive audio phase. A t-test indicated that participants who were given a chance for redemption listened to the aversive audio for a significantly shorter duration than those who were not given a chance for redemption. An ANCOVA analysis, controlling for initial guilt scores showed a significant effect of condition on final guilt, with participants in both conditions reporting reduced guilt levels post-task, and those in the neutral condition reporting a greater reduction. These findings suggest that engaging in culturally acceptable aversive behaviors may serve a guilt-alleviating function, and that perceived opportunities for redemption may modulate the extent of such selfdirected harm.

This exploratory intrinsic case study examined the work of migrant educators in New York State’s Mid-Hudson Migrant Education Tutorial and Support Services (METS) program, with a particular focus on their use of music and creative arts modalities. Using a constructivist qualitative inquiry framework, and informed by Community Music Therapy (CoMT), Resource-Oriented Music Therapy (ROMT) perspectives, semi-structured interviews were conducted with four migrant educators. Data from these interviews were analyzed using the constant comparative method. Trustworthiness of this study was enhanced through member checking and investigator triangulation. Findings revealed that the role of the migrant educator is multifaceted. It extends beyond academic instruction and often centers around advocacy and student empowerment. Music and creative arts modalities were identified as being used by educators to enhance language learning, promote engagement, build inter- and intra-personal relationships, and provide opportunities for students to experience agency and mastery. However, the consistent use of these creative modalities was constrained by programmatic limitations and in some cases, educator discomfort. Significant barriers to student success such as linguistic isolation, institutional limitations, and challenging life situations (often a result of broader socio-political issues) were identified. This study highlights the need for greater interdisciplinary collaboration between music therapists and educators and more training for educators regarding the integration of creative arts modalities into their work. This study also underscores the critical need for policy reforms to ensure equitable access to resources and opportunities for migrant students. Despite a multitude of barriers and limitations, this study highlights the commitment of migrant educators and the resilience of the students they serve. Keywords: Migrant education, creative arts modalities, Community Music Therapy, Resource-Oriented Music Therapy, trauma-informed care, interdisciplinary collaboration

This study explored interdisciplinary team members’ perspectives on the impact of music therapy in adult palliative care within a hospital setting. The purpose of the study was to examine how their perspectives on the impact of music therapy on patients and caregivers, and how that impact their own clinical practice and well-being. Semi-structured interviews were conducted. An inductive thematic analysis was utilized to analyze the data collected from the participants, including a nurse practitioner, a physician, social worker, and a chaplain. Four key themes emerged: (A) music therapy enhances patient and family care in palliative care, (B) music therapy strengthens interdisciplinary team members’ practice in palliative care, (C) music therapy as a transformative space in the hospital environment, and (D) conditions that shape the impact of music therapy. Each theme is further divided into subthemes that illustrate the multidimensional impact of music therapy in palliative care. These results underscore the importance of including music therapists as part of the interdisciplinary team to advance holistic and sustainable palliative care. Further research is required to deepen the understanding of the implications of music therapy within interdisciplinary teams. Keywords: Music therapy, palliative care, interdisciplinary team, interdisciplinary collaboration, integrative medicine, hospital

This thesis examines two key literary representations of these changes: the New Woman and the femme fatale, focusing on how each figure reflects the era’s deep-rooted anxieties surrounding female autonomy and growing independence. More specifically, I examine the differences in the representations of the New Woman and her stereotypes in comparison to the real feminists behind the ideals that inspired the literary figure of the New Woman.

Excessive self-heating in integrated circuits (ICs) is a major barrier to performance and reliability within the semiconductor industry and necessitates innovation in thermal management. Effective thermal management is critical, but experimental evaluation of cooling solutions, especially hotspot mitigation, are limited due to challenges in acquiring accurate spatiotemporal temperature data. This work presents an in-line spatial and temporal temperature mapping system designed to interface directly between an IC and its cooling device, consisting of a dense array of 64 aluminum resistance temperature detectors (RTDs) sensors integrated within an automated measurement system. The RTD array was successfully fabricated using a single-layer lift-off process on an oxide-wafer substrate. An automated measurement system utilizing GPIB instruments and multiplexing for four-point measurements was developed for real-time data acquisition and calibration. Calibration performed on 28 functional sensors demonstrated high linearity with an average measured temperature coefficient of resistance (TCR) of 1730 ppm/ºC. In-situ measurements successfully demonstrated the capability to resolve ambient temperature, thermal transients, and non-uniform thermal gradients, providing necessary experimental data for thermal characterization. During non-uniform heating, spatial temperature gradients could be resolved within 0.1 °𝐶. This work validates the design, fabrication, and characterization of an aluminum RTD sensor array system for in-situ spatiotemporal temperature mapping, contributing to the experimental evaluation of IC thermal management solutions. Author Keywords: Temperature sensor array, integrated circuit, resistance temperature detector (RTD), integrated circuit (IC), automated measurement system, thermal analysis, hot spots

Solving parametric partial differential equations (PDEs) has historically been an area of research focused on identifying computationally efficient methods. Because analytic solutions are often impractical, numerical solvers have traditionally been used to approximate these functions. However, with the rise of deep learning, data-driven methods are now widely used and can learn the underlying PDE operators that govern complex fluid mechanics [1, 2]. In this thesis, we propose a dynamic adaptive Fourier neural operator (DA-FNO) that employs frequency gating as a masking mechanism to modulate spectral content directly in the frequency domain. The prevailing “one-size-fits-all” treatment of Fourier modes in the original FNO [3] limits dynamism when certain instances demand finer spectral focus. By learning a frequency gate 𝐺 that controls both the count of modes and their granularity—per quadrant, per sample—within each Fourier layer, the model bypasses costly convolutions on irrelevant modes, yielding a more efficient and adaptive architecture. We train the baseline FNO, our DA-FNO, and several ablated variants on the publicly released MegaFlow2D benchmark dataset.

Sleep is essential for our wellness and everyday performance. Poor sleep quality is highly prevalent among college students, with over 60% of them experiencing poor sleep quality (Becker et al., 2018). Multiple factors lead to poor sleep quality among college students, including academic stress, substance misuse, and unstable routines (Phillips et al., 2017; Summer, 2024a). A therapeutic playlist consists of songs in a specially arranged order to elicit desired response (McFerran & Grocke, 2022). To assist the client in achieving a restful state, it is recommended to choose music with the appropriate musical elements. These musical elements may include moderate tempos, soothing instrumentation, and the absence of sudden dynamic changes (Gaston, 1968; McFerran & Grocke, 2022). This research protocol aims to explore the use of therapeutic playlists as a sleep aid for college students experiencing sleep disturbances. The proposed research study will focus on how a therapeutic playlist will impact the perceived sleep quality of four college students, utilizing a multiple baseline design. In addition, it seeks to provide recommendations for music therapists and healthcare professionals using music with clients experiencing sleep disturbances. Key words: Sleep disturbances, Sleep deprivation, Therapeutic Playlists, Sedative music, Music and Sleep, Music Listening and Sleep

Anxiety is the most common mental illness in the general population. Symptoms of anxiety in individuals may develop into behavioral, physiological, and cognitive changes that can impair their daily lives. Binaural beats occur when the brain perceives the difference between two frequencies that were exposed separately to each ear. The brain synchronizes with the perceived frequency, the binaural beat. Various benefits can occur for the listener, depending on the frequency of the binaural beats. This rapid review synthesizes existing research on how binaural beats have been used to help individuals manage their anxiety symptoms including: the effectiveness, frequencies, carrier tones, dosages, and settings. This review will discuss the implications and considerations of binaural beats as interventions within the music therapy profession. A total of fifteen studies met the inclusion and exclusion criteria. Binaural beats were shown to be effective in reducing anxiety in 87% of the studies with 53% showing significant reduction in anxiety and 27% showing a statistically significant reduction in anxiety. The findings suggest that using lower frequencies; delta, theta, or alpha wave binaural beats for 10 minutes, is effective in various medical settings to lower pre-procedural anxiety. Keywords: Binaural beats, Binaural beat stimulation, Anxiety.