Aug 2026· American Journal of Orthodontics and Dentofacial Orthopedics· 0 citations
Medicine
Abstract
INTRODUCTION
Space opening with clear aligner therapy has been little researched. The aim of this retrospective observational study was to investigate the predictability of the Invisalign appliance (Align Technology, San José, Calif) in opening space for the permanent maxillary lateral incisor (PMLI).
Methods
Data from Align Technology's digital treatment planning software system, ClinCheck (Align Technology, San Jose, Calif), were evaluated to determine the initial, predicted, and achieved space opening for the PMLI in patients satisfying the selection criteria. Acquisition of the relevant measurement values was performed using the Geomagic (3D Systems, Rock Hill, SC) metrology system. A mixed-effects model was used to account for within-patient dependence among tooth spaces and the 2 one-sided tests for equivalence testing and Bland-Altman analysis were employed.
Results
Space opening for 41 PMLIs in 25 patients with a mean age of 21.2 ± 13.0 years was evaluated. Approximately 65.2%-69.8% of predicted space opening was achieved, with the mean differences between predicted and achieved values ranging from 0.9 ± 1.0 mm to 1.4 ± 1.2 mm (P <0.05). For patients <18 years of age, the mean difference between predicted and achieved canine angulation changes was 9.4 ± 9.1°, with 95% limits of agreement from -8.4° to +27.2° (P = 0.015). Mean differences between predicted and achieved canine angulation changes in patients ≥18 years of age (5.3 ± 6.4°) and central incisor angulation changes in patients <18 years of age (-0.1 ± 8.0°) and ≥18 years of age (-4.8 ± 7.6°) were not statistically significant.
Conclusions
The findings can help clinicians better understand the planning of space opening for PMLIs before clear aligner therapy commences and provide baseline information for future research.
Drug use is an ancient practice, but its associated disorders represent a contemporary public health challenge. This study investigates the impact of proximal processes in childhood/adolescence and adulthood on substance use, focusing on the role of Therapeutic Communities (TCs). Using a qualitative methodology, 19 residents of TCs in the state of Rio de Janeiro were interviewed. Instruments included a screening test (ASSIST), a sociodemographic inventory, and semi-structured interviews. Content analysis of the interviews was supported by the Requalify.ai software, which proved to be an efficient tool for categorizing and visualizing qualitative data. Results indicate that factors such as dysfunctional family environments, violence, and early onset of consumption, often mediated by peer influence, are determining risk factors. On the other hand, peer social support within TCs emerges as a crucial protective factor, associated with positive changes reported by participants. The sample revealed an overrepresentation of Black and Brown individuals, highlighting the racial dimension in the history of drug use in Brazil. The study concludes that proximal relationships are decisive in both the etiology and recovery of substance use disorders, and that TCs, although controversial, can offer a supportive environment that favors change, especially through peer support and cohabitation.
Marceli de Souza Rosa-Pereira, L. Pessoa· Lumen et Virtus· 0 citations
An audit-and-placebo protocol is proposed that separates verifier artifacts, interaction scaffolding, and grounded feedback credit in evaluations of self-evolving test generators in evaluations of self-evolving test generators.
Yunhao Liang, Chengguang Gan, Ruixuan Ying et al.· 0 citations
This study examined whether introductory Qiskit homework could remain autogradable while requiring students to run, review, and discuss results rather than banning AI.
This prototype MRG image translocation software was helpful to 69% of patients with binocular diplopia, but limited by large angle strabismus because of the limited instrument field of view.
Edsel B Ing, Kevin Sha, Sarosh Dandoti et al.· Journal of neuro-ophthalmolo...· 0 citations
A diagnostic support system based on a unified web platform that classifies patients according to the risks of developing three diseases based on regularly collected clinical or audio data using classical supervised learning algorithms is presented.
Vedamurthy D R, Dr. Anup Ritti, A. Bibi et al.· International Journal for Re...· 0 citations
A high initial investment in acquiring environmentally friendly products can discourage
institutions from adopting them. This study explored the extent to which eco-friendly products
contribute to supply chain resilience and operational performance at the Nigerian Maritime
University. The study employed a quantitative survey method administering a sample of 303copies
questionnaire to the staff of the organization using a stratified sampling technique. The hypotheses
were tested and analyzed using a regression method with the aid of Minitab software. The
regression analysis indicates eco-friendly products significantly relates to operational efficiency
in Nigerian Maritime University, South-South Nigeria. The model regression indicates (R² = 99.20,
B = 1.039, β = 0.0162, p = 0.000); indicating that the model is a good fit. The coefficient 1.0399
is highly significant (p < 0.001). This indicates a positive and strong effect, explaining that for
every one-unit increase in eco-friendly products, the operational efficiency increases by
approximately 1.039 units. The NOVA result confirms F = 4117.07, p < 0.001. The study
concludes that the adoption of eco-friendly products plays a significant and positive role in
enhancing organizational sustainability performance or resilience. Organizations should embed
eco-friendly product selection into their procurement guidelines to promote sustainable
operations. Management should invest in environmentally friendly technologies and capacity
building initiatives to support the transition to sustainable practices.
Ikenna Christopher Ugwu· IIARD International Journal...· 0 citations
Related blog posts
MIT News · Artificial Intelligence· news.mit.eduAug 17, 2026
A USAF cadet and a Lincoln Laboratory researcher found AI chatbots can help nontechnical service members produce viable software applications for their unique problems.