Pacific McGeorge School of Law
Not a member yet
77577 research outputs found
Sort by
The Sweet Solution Project - Improving Gestational Diabetes Management of the Mothers in Stockton, California
No full texthttps://scholarlycommons.pacific.edu/nursing-portfolios/1024/thumbnail.jp
How the Least Restrictive Environment Mandate is Interpreted by California Special Education Local Plan Agency Directors
No full textThis qualitative case study examines how Special Education Local Plan Agency (SELPA) directors in California interpret and communicate the Least Restrictive Environment (LRE) mandate under the Individuals with Disabilities Education Act (IDEA). The study explores how SELPA directors understand LRE and how this understanding is conveyed to district-level administrators. Data were collected through interviews and document review across selected SELPAs and analyzed thematically using the Boundary Spanning framework. Findings show that SELPA directors view LRE as both a legal obligation and a collaborative, context-dependent process. They act as intermediaries, translating federal and state mandates into locally usable guidance while balancing compliance with the realities of inclusive practice. Communication occurs through formal means such as policy documents and professional development, as well as informal, relationship-based interactions. This study highlights the pivotal role of SELPA directors in advancing inclusive education beyond procedural compliance. Their leadership reflects practices that are responsive, relational, and equity driven
Three-Dimensional Assessment of Craniofacial Morphology in Children with Degenerative Temporomandibular Joint Disease
No full textObjectives: To evaluate three-dimensional craniofacial morphological characteristics and longitudinal changes in children and adolescents with active degenerative joint disease (DJD) compared to controls without DJD. Methods: This retrospective longitudinal observational study included 32 adolescents with active DJD (mean age 13.64±1.91 years) and 32 controls (mean age 13.57±2.56 years) treated at a single center. Pre-treatment (T1) and post-treatment (T2) cone-beam computed tomography (CBCT) scans were used to diagnose the temporomandibular joint (TMJ) condition by one oral maxillofacial radiologist. 3D AI-assisted landmark identification and measurements were also performed. Linear and angular measurements were compared between groups using independent t-tests for initial characteristics and longitudinal changes. Paired t-tests assessed within-group changes, and Spearman’s rank correlation was used to evaluate possible associations between treatment variables and disease progression. Results: At the initial time point (T1), the DJD group demonstrated significantly shorter jugaleto- sella distances bilaterally, reduced mandibular dimensions (B point-to-sella) in the superiorinferior plane, decreased gonion-to-sella distances, smaller condylar widths, and reduced posterior facial height (p\u3c 0.05). Longitudinally, the DJD group showed less forward mandibular growth, reduced increases in ramus height, and smaller gains in posterior facial height. Angular measurements revealed unfavorable changes in the DJD group with decreased SNB, increased ANB, and increased hyperdivergence (p\u3c 0.05). No significant correlations were found between disease progression and treatment variables. Conclusions: This study found a novel finding, that adolescents with active DJD present with distinct craniofacial morphology characterized by shorter maxillary heights (jugale-to-sella). Also, this study showed reduced mandibular dimensions and shorter posterior facial heights. Longitudinally, the DJD group showed overall smaller mean changes and developed increasingly hyperdivergent facial patterns compared to controls. These findings suggest that active DJD significantly impacts craniofacial development during adolescence, warranting considerations in monitoring and treatment approaches
Clinician Agreement and Predictors of Success in Non-Surgical Clear Aligner Therapy in Adult Class III Malocclusions
No full textObjectives: This study aimed to evaluate clinician agreement on treatment decisions and perceptions of success for adult Class III malocclusions treated with clear aligners and to identify cephalometric predictors of treatment success. Materials and Methods: Twelve adult Class III patients treated exclusively with clear aligners were selected from a private practice. Twenty-four orthodontists evaluated pre- and post-treatment records through a structured survey. Part 1 assessed treatment objectives and surgical versus non-surgical preferences; Part 2 evaluated treatment outcomes before and after disclosure of the non-surgical constraint. Cohen\u27s kappa assessed inter-rater agreement, and mixed-effects logistic regression identified predictors of success. Results: Agreement on surgery versus non-surgery decisions was fair (κ=0.23, P \u3c .0001). Agreement on treatment success was also fair before (κ=0.32, P \u3c .0001) and after (κ=0.24, P \u3c .0001) disclosure of the non-surgical constraint. The Overall mean success rate was 79.7%. Clinician background influenced treatment preferences, with non-academic clinicians more likely to recommend surgery. Initial lower incisor inclination (IMPA) was the only significant predictor of treatment success (P=0.002), with less retroclined lower incisors associated with higher success ratings. Conclusions: Clinician agreement on treatment planning and perceived success in non-surgical Class III aligner therapy was limited, even after treatment constraints were disclosed. Initial lower incisor inclination may serve as a predictor of nonsurgical treatment success. Despite variability in individual assessments, the overall success rate of 79.7% suggests that non-surgical clear aligner therapy can produce satisfactory outcomes in carefully selected adult Class III patients
The Donut Hole Fall 2025
No full textFall 2025 Event Calendar – 11 total events (nine in-person across six cities and two virtual events). Oak Park Summer Event – Experiences and outcomes from our Summer Medicare Health Fair. Class Wellness Activities – Highlights of faculty- and staff-led sessions and student experiences. Mentor-Mentee Program – CV review, mock interviews, and longitudinal mentorships based on shared interests, including interviews with current participants. New Medicare Faculty Introductions …and much more!https://scholarlycommons.pacific.edu/donut-hole/1022/thumbnail.jp
Pacific RxTracts - November 2025
No full textThis issue features updates on the FDA approval of Papzimeos, the first immunotherapy for recurrent respiratory papillomatosis; the early success of stem cell-derived islet therapy in type 1 diabetes; and the use of oral Palonsify in the management of acromegaly.
You will also find additional highlights across several specialties such as endocrinology, oncology, neuropsychology, and infectious disease. Each article provides valuable insights to help you stay informed on the latest developments in pharmacy, and we encourage you to give them a read.https://scholarlycommons.pacific.edu/rx-tracts/1010/thumbnail.jp
...Of Cabbages and Kings, Spring 2025
No full text...Of Cabbages and Kings is the newsletter of the University of the Pacific Emeriti Society. Read more about the Emeriti Society of Pacific by clicking here
Adaptive Learning with On-Device Foundation Models: Design and Real-Time Performance Evaluation
No full textExisting mobile learning tools often rely heavily on cloud-based language models, reducing privacy, consistency, and multimodal context awareness. Moreover, current mobile AI systems struggle to generate reliable structured educational content, as JSON-based parsing frequently fails and multimodal signals (PDFs, voice notes, conversation history) are rarely fused coherently. This project presents Inquis, an on-device, AI-powered adaptive study companion that integrates Apple’s foundation models with techniques for structured generation, multimodal context fusion, and intelligent scheduling. We introduce a type-safe content generation pipeline using Swift’s @Generable macro, enabling the language model to emit strongly typed Swift structures with 100% valid outputs. To evaluate real-time feasibility, we benchmark on-device foundation model performance across three task classes on a smartphone-class device: simple factual queries (2.57 s mean), structured flashcard generation (4.44 s mean, n=40), and PDF summarization (6.74 s mean, n=40), all with practical real-time latency. Finally, a hybrid voice architecture combines low-latency cloud transcription with an on-device fallback to maintain offline functionality and privacy. These results show that privacy-preserving, on-device foundation models can support robust, multimodal, adaptive learning experiences for next-generation mobile educational systems