14878 research outputs found
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Impact of Maternal Diabetes on Retinal Thickness and Vascular Density in Offspring: A Developmental Study
No full textAssessment of Color Match of Universal Tinted Sunscreens in Fitzpatrick Skin Phototypes I-VI
No full textIndex cost comparison of laparoscopic vs robotic surgery in colon and rectal cancer resection: a retrospective financial investigation of surgical methodology innovation at a single institution
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Prevalence of Connective Tissue Disorders and other Co-morbidities in Familial Chiari Malformation
No full textFrom childhood labels to adult identities: exploring self- concept in black women through the lens of the mother- daughter relationship
No full textThis study explores how intergenerational labeling within the mother-daughter relationship shapes the self-concept of Black women. Labels such as the “Good Girl” and Strong Black Woman schema reinforce emotional suppression, perfectionism, and self-sacrifice, serving as survival mechanisms but also limiting self-worth and well-being. Using a qualitative phenomenological approach, this study examines the lived experiences of Black women through semi-structured interviews and focus groups. Findings reveal that while many internalized early identity expectations, they later engaged in self-definition, challenging restrictive narratives and reconstructing their sense of self. This research underscores the role of culturally responsive mental health interventions, such as narrative therapy, inner child work, and Internal Family Systems, in helping Black women deconstruct inherited labels. It also highlights the importance of breaking cycles of labeling to foster authenticity, self-worth, and empowerment in both personal and intergenerational identity development
Threshold-feedforward neural networks with application to tractor automated ground leveling
No full textThis dissertation details an improved supervised machine learning method termed the Threshold-Feedforward Neural Network (TFNN). The TFNN operates on continuous inputs, generates discrete outputs, and effectively produces superior classifications of outputs in a noisy environment. The TFNN is successfully applied to a tractor ground leveling system to increase operator comfort and improve ground leveling with consistent quality. Training of the TFNN and Tractor Automated Ground Leveling (TAGL) simulations was formulated, applied, and verified in a virtual profile detailing the terrain. A tractor was fitted with a GPS receiver to partially realize the simulation result. Data were collected to show the receiver’s ability to locate the tractor’s position, altitude, and pitch angle. The rear implement arm angle was detected using motor position feedback sensing. The data gathered showed all necessary inputs and output information to feed into the simulation model to realize the theoretical TFNN results. Further work will equip the tractor with a display to show the tractor operator real-time leveling error input to complete TAGL training data gathering and implementation
