Implant Treatment in the Predoctoral Clinic: A Retrospective Database Study of 1091 Patients

Purpose: This retrospective study was conducted at the Marquette University School of Dentistry to (1) characterize the implant patient population in a predoctoral clinic, (2) describe the implants inserted, and (3) provide information on implant failures. Materials and Methods: The study cohort included 1091 patients who received 1918 dental implants between 2004 and 2012, and had their implants restored by a crown or a fixed dental prosthesis. Data were collected from patient records, entered in a database, and summarized in tables and figures. Contingency tables were prepared and analyzed by a chi-squared test. The cumulative survival probability of implants was described using a Kaplan-Meier survival curve. Univariate and multivariate frailty Cox regression models for clustered observations were computed to identify factors associated with implant failure. Results: Mean patient age (±1 SD) at implantation was 59.7 ± 15.3 years; 53.9% of patients were females, 73.5% were Caucasians. Noble Biocare was the most frequently used implant brand (65.0%). Most implants had a regular-size diameter (59.3%). More implants were inserted in posterior (79.0%) than in anterior jaw regions. Mandibular posterior was the most frequently restored site (43%); 87.8% of implants were restored using single implant crowns. The overall implant-based cumulative survival rate was 96.4%. The patient-based implant survival rate was 94.6%. Implant failure risk was greater among patients than within patients (p \u3c 0.05). Age (\u3e65 years; hazard ratio [HR] = 3.2, p = 0.02), implant staging (two-stage; HR = 4.0, p \u3c 0.001), and implant diameter (wide; HR = 0.4, p = 0.04) were statistically associated with implant failure. Conclusions: Treatment with dental implants in a supervised predoctoral clinic environment resulted in survival rates similar to published results obtained in private practice or research clinics. Older age and implant staging increased failure risk, while the selection of a wide implant diameter was associated with a lower failure risk

Development of an integrated project-level pavement management model using risk analysis

Historically, federal highway funding focused on the construction of new pavements and the upgrading of existing pavements. Today, much of the infrastructure is in place. Therefore, the focus of federal funding is shifting toward pavement maintenance and preservation. With this is mind, highway agencies are directing attention toward pavement preservation strategies that yield the greatest value from existing pavements.;Life cycle cost analysis (LCCA) is a decision-making tool that highway agencies may use in selecting an optimal pavement preservation strategy. Traditionally, LCCA models for pavement management use discrete input values that represent a conservative best guess of each parameter. Thus, inherent uncertainty associated with each input parameter is not considered. There are situations, however, when this uncertainty may significantly influence the decision-making process.;The model developed for this research is a probabilistic model that derives flexible pavement designs, generates preservation strategies, and evaluates the life-cycle costs of each alternative. Risk analysis is incorporated into the LCCA model so that the inherent uncertainty of each input parameter is considered. Other features of the model include the incorporation of functional aspects (structural capacity and pavement condition) and safety (skid resistance) into the design, the inclusion of rehabilitation and preventive maintenance as preservation strategy alternatives, and the consideration of both agency and user cost in the present worth cost analysis.;The LCCA model output consists of probability distributions that describe the total present worth cost, the agency present worth cost, and the user present worth cost for each preservation strategy over a specified analysis period. The probabilistic nature of this LCCA model exposes areas of uncertainty that may be hidden in a deterministic LCCA model, and allows the decision-maker to assess the risk associated with each preservation strategy based on the probability of various costs that may be incurred.;Finally, a sensitivity analysis was performed to assess the effects of various input parameters on model output. The highway agency can enhance the model output by focusing more detailed data collection and parameter estimation on the model components that were identified as having a statistically significant effect on the model results

The Fruit

No abstract available

FRAMEWORK FOR ENHANCED INTERGENERATIONAL CONNECTIVITY (EIC): A PROFESSIONAL PROGRAM DEVELOPMENT REPORT

This program development report documents the implementation and facilitation of the Sages and Seekers pilot program at California State University, San Bernardino (Palm Desert Campus) from 2022 to 2025. Grounded in communication theory, intergroup contact principles, and instructional design, the report outlines a structured intergenerational intervention aimed at enhancing empathy, connection, and understanding between older and younger adults. Drawing from facilitator observations and program implementation experiences, this work led to the creation of the Framework for Enhanced Intergenerational Connectivity (EIC), a five-point planning model emphasizing leadership, facilitation, administrative support, participant continuity, and structured program design. The EIC framework is accompanied by practical tools, including planning checklists and role assignment forms, designed to support educators, organizational leaders, corporate trainers, and community facilitators in delivering effective intergenerational programming. This report contributes to the fields of communication studies, leadership development, instructional design, inclusive leadership, and applied communication by presenting an adaptable, practice-based approach to fostering intergenerational connection and knowledge exchange across educational, workplace, and community settings

The Returning

No abstract available

The Storm

No abstract available

The Children

No abstract available

Advanced glycation end-products: Mechanics of aged collagen from molecule to tissue

Concurrent with a progressive loss of regenerative capacity, connective tissue aging is characterized by a progressive accumulation of Advanced Glycation End-products (AGEs). Besides being part of the typical aging process, type II diabetics are particularly affected by AGE accumulation due to abnormally high levels of systemic glucose that increases the glycation rate of long-lived proteins such as collagen. Although AGEs are associated with a wide range of clinical disorders, the mechanisms by which AGEs contribute to connective tissue disease in aging and diabetes are still poorly understood. The present study harnesses advanced multiscale imaging techniques to characterize a widely employed . in vitro model of ribose induced collagen aging and further benchmarks these data against experiments on native human tissues from donors of different age. These efforts yield unprecedented insight into the mechanical changes in collagen tissues across hierarchical scales from molecular, to fiber, to tissue-levels. We observed a linear increase in molecular spacing (from 1.45. nm to 1.5. nm) and a decrease in the D-period length (from 67.5. nm to 67.1. nm) in aged tissues, both using the ribose model of . in vitro glycation and in native human probes. Multiscale mechanical analysis of . in vitro glycated tendons strongly suggests that AGEs reduce tissue viscoelasticity by severely limiting fiber-fiber and fibril-fibril sliding. This study lays an important foundation for interpreting the functional and biological effects of AGEs in collagen connective tissues, by exploiting experimental models of AGEs crosslinking and benchmarking them for the first time against endogenous AGEs in native tissue