3729 research outputs found
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Western New England Campus
No full textView of Western New England\u27s campus. To the left is Deliso Hall. To the right is Emerson Hall. Cars are parked in the parking lot to the left. Two people stand near a snowbank.https://digitalcommons.law.wne.edu/ua_buildings/1683/thumbnail.jp
Windham Hall
No full textA dorm room in Windham Hall. The desk is covered in school materials, and posters hang on the wall. The clock on the desk says 1:19.https://digitalcommons.law.wne.edu/ua_buildings/1688/thumbnail.jp
Windham Hall
No full textTwo students walk hand in hand toward Windham Hall.https://digitalcommons.law.wne.edu/ua_buildings/1699/thumbnail.jp
Understanding and Supporting Psychosocial Health and Sensory Regulation in Children with Cancer (or Cancer History)
Get PDFObjective: The purpose of this capstone is to understand the psychosocial and sensory needs of pediatric oncology patients or survivors and educate staff members on the topics of psychosocial health and sensory regulation. It is also to discover how summer camp and activities offered are beneficial in decreasing signs and symptoms of decreased psychosocial health in individuals diagnosed with cancer or have prior history of cancer diagnosis.
Methods: Mixed methods surveys were conducted during the experiential portion of the capstone to identify the needs of individuals with cancer attending camp, benefits of camp, and identify staff member’s knowledge of topics such as psychosocial health, sensory regulation, and executive functioning. Participants were recruited via email and during an in-service provided to leadership members.
Results: A total of 16 participants filled out the survey about psychosocial health in children with cancer or have a history of cancer and how camp benefits this population. 6 participants participated in a pre and post-test survey during the in-service. Surveys demonstrated increased knowledge of topics as well as the benefits of summer camp on psychosocial health.
Conclusions: In conclusion, understanding and supporting psychosocial health and sensory regulation in children with cancer or history of cancer is an extremely important topic. Continually expanding knowledge on the subject matter will help individuals better support children diagnosed with cancer or history of cancer.
Keywords: children diagnosed with cancer or history of cancer, psychosocial health, sensory regulation, summer cam
Diagnostic Methodologies for Fault Management and Performance Optimization
No full textThis research investigates diagnostic approaches applied to fault data to enhance predictive accuracy and support proactive maintenance. Engineering systems degrade over time due to operational stresses, making proactive maintenance essential for reliable performance. Unlike reactive policies, proactive strategies aim to address potential faults early using model-based, data-driven, or hybrid diagnostic methods. Challenges in real-world applications include data imbalance, process variability, uncontrolled operating conditions, and varying levels of diagnostic analysis, from fault detection to root-cause identification. Fault diagnosis encompasses detection, localization, failure mode identification, and severity assessment, with methods tailored to data availability and system knowledge.
To address these challenges, four fault diagnosis methods are proposed. The first uses a hierarchical ensemble learning structure to maximize prediction accuracy on raw data, validated on field data from a US cable operator. To overcome limitations of computational cost and sequential task performance, a generic data-driven method with feature extraction and selection is developed, improving diagnostic performance while addressing model complexity. Multi-objective optimization (MOO) balances accuracy, efficiency, and interpretability, though interpretability challenges remain. To further enhance interpretability, a sparse feature identification approach combines adaptive windowing with PAC-Bayesian learning, selecting minimal features while preserving accuracy.
Finally, multi-class fault scenarios are addressed using a lightweight convolutional neural network with an attention mechanism, achieving high diagnostic accuracy and improved explainability. These methods collectively advance fault diagnostics for engineering systems, providing robust, interpretable, and efficient solutions for proactive maintenance across diverse operational conditions
Windham Hall
No full textPhoto of the entrance to WIndham Hall.https://digitalcommons.law.wne.edu/ua_buildings/1686/thumbnail.jp
