Prevalence and predictive parameters of external root resorption caused by retained wisdom teeth.

OBJECTIVES: The aim of this study was to estimate the prevalence and severity of external root resorption (RR) caused by retained third molars (M3), to compare the sensitivity of panoramic radiography (PAN) and cone beam computed tomography (CBCT) and to determine predictive factors for root resorption. MATERIALS AND METHODS: In a retrospective cross-sectional analysis, we included patients (N = 367) who underwent PAN and CBCT imaging between December 2017 and July 2019. Previous orthodontic treatment, age, gender, superimposition of second molars (M2) and M3 on PAN, retention depth, inclination angle and vertical level of contact with the M2 were used as predictor variables. The outcome variable was RR of the M2, graded according to Ericson et al. [1]. Subgroup analyses compared patients with and without suspected resorption in the PAN. RESULTS: While less than 5% of PANs suggested RR associated with M3, CBCT showed RR in 20% of all M2 with adjacent retained M3. The angle of inclination of M3, patient age and vertical level of molar contact emerged as predictive parameters, with mesial inclination, older age and deeper retention associated with increased severity of M2. CONCLUSION: Within the limitations of our study, these data confirm the poor performance of PAN in the diagnosis of RR. CBCT may be helpful in detecting RR in mesioangulated and deeply retained M3 in elderly patients, even when PAN did not suggest pathology. CLINICAL RELEVANCE: Our study may help to decide whether CBCT should be considered prior to M3 surgery.

Mesial Inclination of Bur for the Sectioning of Impacted Distoangular Mandibular Third Molar: A Novel Technique.

Distoangular impacted teeth account for about 4.8% of all impacted tooth angulations. Various indices in the literature used to assess the difficulty of surgically extracting impacted third molars indicate that distoangular impactions are the most complex. This complexity necessitates the development of specific skills by the operator. The difficulty arises primarily due to the challenging position of these teeth, which complicates access and instrumentation. The proposed method aims to simplify the sectioning process for distoangular third molars by avoiding unnecessary buccal bone removal, improving the accuracy of root sectioning, and preserving buccal bone. Consequently, this technique reduces postoperative pain and swelling, resulting in better patient outcomes.

Coping with complexity: Navigating severe curve canals in endodontic root canal treatment: A clinical case series.

Knowledge of tooth anatomy and its variations are essential for the success of endodontic treatment. Dilacerations represent developmental anomalies marked by sudden deviations in a tooth's longitudinal axis. Common causes of treatment failures in such cases are primarily related to procedural errors such as ledging, fractured instruments, canal blockages, zipping, and elbow creations. The current case series presents three such interesting cases of endodontic management of curved root canals in mandibular molars.

Autologous platelet concentrates after third molar extraction: A systematic review.

Surgical removal of impacted mandibular third molars is often followed by postoperative sequelae like pain, swelling, trismus, etc. This systematic review explored the benefits of applying different autologous platelet concentrates (APCs) in the extraction socket of third molars. For this systematic review, PubMed, EMBASE, Web of Science, and Scopus have been utilized, initially yielding 544 papers. The search was narrowed to randomized controlled trials (RCTs, n = 59) published before 2024, all comparing the outcome of applying APCs in the extraction socket of surgically removed impacted mandibular third molars with unassisted healing (blood clot). Most RCTs primarily assessed the impact of APCs on postoperative sequelae. Some RCTs looked at soft- and hard-tissue healing. Eleven studies used PRP, three PRGF, and 45 L-PRF. A detailed analysis revealed a large heterogeneity between studies rendering a meta-analysis impossible. Moreover, the risk of bias was considered high. In the majority of RCTs, the application of an APC resulted in statistically significant reductions of postoperative sequelae (lower pain intensity, lower consumption of analgesics, less postoperative edema, and a lower incidence of trismus and alveolar osteitis), as well as a faster soft tissue healing, and qualitatively and quantitatively better bone healing. A minority of studies reported significant differences in periodontal parameters distally from the second molar.

Finding the Balance to Quiet the Striving: The Difference Between Successful Aging and Wise Aging.

This paper draws on wisdom and lifespan development research to propose a conception of "wise aging", which may become particularly relevant in very old age as people's capacities for successful aging decline. We propose that three types of balance distinguish wise aging from successful aging. First, wisdom balances one's own interest with a greater good, emphasizing self-transcendence and compassion. Second, wisdom balances control striving with acceptance of uncontrollability. Wise aging involves a realistic awareness of one's decreasing levels of control and one's interconnectedness to and dependence on other people. Third, wisdom acknowledges, regulates, and balances positive and negative affect. Wise aging involves the ability to appreciate and relish the joys of life, but also to accept and embrace more negative emotions and fully support others going through different times.

Estimating the Extraction Time of an Upper Third Molar: Proposal and Validation of Results.

Background: Numerous studies in the literature have aimed to evaluate the difficulty level of removing third molars. However, most of these studies have focused on the lower third molars, which can lead to complications. There is a lack of a method to determine the complexity of upper third molar extraction. Therefore, this study's objective was to develop an equation using multiple linear regression to estimate the extraction time of an upper third molar based on its complexity. Methods: This study involved patients enrolled in the Master of Oral Surgery program at the University of Seville. To determine their relationship with surgical time, the researchers analyzed various factors, such as depth, root morphology, and the need for odontosection. They then validated their findings by studying patients treated at Palmaplanas Hospital in Mallorca. Results: The cohort analysis from the University of Seville revealed significant associations between surgical time and the identified factors. A regression equation design was performed to predict the total duration of surgical intervention for wisdom teeth extraction. This equation incorporates several independent variables, represented by Xi, together with a constant term, C, and the corresponding coefficients, Bi, which weight the impact of each variable on the intervention time. The results are as follows: -0.312 (spatial relationship), 0.651 (depth), -0.443 (bone and mucosa integrity), 0.214 (roots), -0.745 (ostectomy), 0.713 (odontosection), and -0.426 (suture). Upon application of the statistical methodology to the Palmaplanas Hospital cohort, a regression coefficient of 0.770 was determined. This indicates a strong correlation between the input data and the estimated surgical time. Conclusions: In conclusion, the proposed formula demonstrates notable validity in predicting the surgical time required to extract upper third molars.

Comparative Analysis of Surgical Techniques for Wisdom Tooth Extraction.

Background: Wisdom tooth extraction often requires various surgical techniques due to differences in tooth position, root morphology, and patient characteristics. This research aims to compare traditional surgical extraction with minimally invasive techniques such as piezo surgery and laser-assisted extraction, as well as extraction with the aid of 3D imaging and navigation systems. Methods: Patients requiring wisdom tooth extraction were randomly assigned to one of the surgical technique groups. Preoperative imaging assessed tooth position and root morphology. Intraoperative variables and postoperative outcomes were recorded, including pain levels, swelling, and healing time. Patient-reported outcomes were assessed using standardized questionnaires. Results: Piezo surgery, 3D imaging, and navigation-guided extraction techniques demonstrated a shorter mean duration of surgery and lower incidence of intraoperative complications compared to traditional extraction and laser-assisted extraction. Postoperative outcomes were superior in the 3D imaging and navigation-guided extraction group, with lower pain scores, reduced swelling, and faster healing time. Conclusion: Advanced imaging-guided techniques, particularly 3D imaging and navigation-guided extraction, offer significant benefits for patients undergoing wisdom tooth extraction by improving surgical precision, minimizing complications, and enhancing postoperative outcomes. Incorporating these technologies into routine practice can optimize patient care and outcomes in oral surgery.

COFFEE: consensus single cell-type specific inference for gene regulatory networks.

The inference of gene regulatory networks (GRNs) is crucial to understanding the regulatory mechanisms that govern biological processes. GRNs may be represented as edges in a graph, and hence, it have been inferred computationally for scRNA-seq data. A wisdom of crowds approach to integrate edges from several GRNs to create one composite GRN has demonstrated improved performance when compared with individual algorithm implementations on bulk RNA-seq and microarray data. In an effort to extend this approach to scRNA-seq data, we present COFFEE (COnsensus single cell-type speciFic inFerence for gEnE regulatory networks), a Borda voting-based consensus algorithm that integrates information from 10 established GRN inference methods. We conclude that COFFEE has improved performance across synthetic, curated, and experimental datasets when compared with baseline methods. Additionally, we show that a modified version of COFFEE can be leveraged to improve performance on newer cell-type specific GRN inference methods. Overall, our results demonstrate that consensus-based methods with pertinent modifications continue to be valuable for GRN inference at the single cell level. While COFFEE is benchmarked on 10 algorithms, it is a flexible strategy that can incorporate any set of GRN inference algorithms according to user preference. A Python implementation of COFFEE may be found on GitHub: https://github.com/lodimk2/coffee.

Metajudgment: Metatheories and Beliefs About Good Judgment Across Societies.

We introduce the concept of "metajudgment" to provide a framework for understanding folk standards people use to navigate everyday decisions. Defined as a set of metatheories and beliefs about different types of judgment, metajudgment serves as the guiding principle behind the selection and application of reasoning strategies in various contexts. We review emerging studies on metajudgment to identify common dimensions, such as intuition versus deliberative reasoning and rationality versus reasonableness. These dimensions are examined across multiple societies. The reviewed findings illuminate an apparent paradox: Universal adaptive challenges produce largely consistent folk standards of judgment across cultures, whereas situational demands drive systematic within-person variability. Metajudgment offers a comprehensive framework for understanding diverse reasoning patterns in individual and cross-cultural contexts, calling for greater attention to the ecologically sensitive study of within-person judgmental variability.

Collective Intelligence-Based Participatory COVID-19 Surveillance in Accra, Ghana: Pilot Mixed Methods Study.

BACKGROUND: Infectious disease surveillance is difficult in many low- and middle-income countries. Information market (IM)-based participatory surveillance is a crowdsourcing method that encourages individuals to actively report health symptoms and observed trends by trading web-based virtual "stocks" with payoffs tied to a future event. OBJECTIVE: This study aims to assess the feasibility and acceptability of a tailored IM surveillance system to monitor population-level COVID-19 outcomes in Accra, Ghana. METHODS: We designed and evaluated a prediction markets IM system from October to December 2021 using a mixed methods study approach. Health care workers and community volunteers aged ≥18 years living in Accra participated in the pilot trading. Participants received 10,000 virtual credits to trade on 12 questions on COVID-19-related outcomes. Payoffs were tied to the cost estimation of new and cumulative cases in the region (Greater Accra) and nationwide (Ghana) at specified future time points. Questions included the number of new COVID-19 cases, the number of people likely to get the COVID-19 vaccination, and the total number of COVID-19 cases in Ghana by the end of the year. Phone credits were awarded based on the tally of virtual credits left and the participant's percentile ranking. Data collected included age, occupation, and trading frequency. In-depth interviews explored the reasons and factors associated with participants' user journey experience, barriers to system use, and willingness to use IM systems in the future. Trading frequency was assessed using trend analysis, and ordinary least squares regression analysis was conducted to determine the factors associated with trading at least once. RESULTS: Of the 105 eligible participants invited, 21 (84%) traded at least once on the platform. Questions estimating the national-level number of COVID-19 cases received 13 to 19 trades, and obtaining COVID-19-related information mainly from television and radio was associated with less likelihood of trading (marginal effect: -0.184). Individuals aged <30 years traded 7.5 times more and earned GH ¢134.1 (US $11.7) more in rewards than those aged >30 years (marginal effect: 0.0135). Implementing the IM surveillance was feasible; all 21 participants who traded found using IM for COVID-19 surveillance acceptable. Active trading by friends with communal discussion and a strong onboarding process facilitated participation. The lack of bidirectional communication on social media and technical difficulties were key barriers. CONCLUSIONS: Using an IM system for disease surveillance is feasible and acceptable in Ghana. This approach shows promise as a cost-effective source of information on disease trends in low- and middle-income countries where surveillance is underdeveloped, but further studies are needed to optimize its use.

Effects of Wisdom-Enhancement Narrative-Therapy and Empathy-Focused interventions on loneliness over 4 weeks among older adults: A Randomized Controlled Trial.

OBJECTIVE: In this three-armed RCT, we tested the effects of a telephone-delivered wisdom enhancement narrative therapy-based intervention (Tele-NT) and a telephone-delivered empathy-focused intervention (Tele-EP) in reducing loneliness against an active control group that received regular call (ACG) at the 4-week follow-up assessment. DESIGN, SETTING, INTERVENTION, AND PARTICIPANTS: To evaluate the effects of the interventions on loneliness, we randomized 287 older adults based in Hong Kong, ages 65 to 90, into Tele-NT (N = 97), Tele-EP (N = 95), or ACG (N = 95). MEASUREMENT: The primary outcome was loneliness, calculated using the De Jong Gierveld Scale and the UCLA Loneliness Scale. Secondary outcomes were sleep quality, depressive symptoms, social network engagement, and perceived social support. Assessments were done before training and 4 weeks after the intervention period. RESULTS: Results from linear mixed models showed significant positive effects of Tele-NT on loneliness measured by the De Jong Gierveld Loneliness Scale compared to ACG. Compared to the ACG, the Tele-NT group significantly reduced loneliness at the 4-week follow-up (mean difference = -0.51, p = 0.019, Cohen's d = 0.60). However, the difference between Tele-EP and the ACG at the 4-week follow-up was not significant (MD = -0.34, p = 0.179, Cohen's d = 0.49). Tele-NT and Tele-EP did not show significant effects on the secondary outcomes, compared to the ACG. CONCLUSIONS: In this randomized clinical trial, we found that a 4-week wisdom enhancement narrative therapy program significantly reduced feelings of loneliness. This effective telephone-based, lay-therapist-delivered program is scalable for broader implementation.

Removal of mandibular third molars: An overview of risks, a proposal for international community and guidance.

The aim of this proposal is to (1) review the current literature, (2) shed light on the importance of creating universally accepted guidelines, (3) provide help and guidance in the decision-making process with regard to the removal of mandibular third molars (M3Ms), and (4) reduce the risk of exposing the patient to unnecessary harm and complications due to the inappropriate removal or retention of M3Ms.It is obvious that the indications for the extraction of M3Ms will continue to be an area of controversy and strong debate. The evidence for or against prophylactic extraction is ambivalent; there is evidence to accept or reject the stance against prophylactic extraction in some specific cases, and there are published articles to support both opposing views. The available guidelines on the extraction of third molars are limited in number, and are mostly tailored to fit specific settings or countries. There are no available guidelines that might be widely used to help in the decision-making process for the international community. We hope this proposal will constitute an important first step toward creating universally accepted guidance.

Leaderless consensus decision-making determines cooperative transport direction in weaver ants.

Animal groups need to achieve and maintain consensus to minimize conflict among individuals and prevent group fragmentation. An excellent example of a consensus challenge is cooperative transport, where multiple individuals cooperate to move a large item together. This behaviour, regularly displayed by ants and humans only, requires individuals to agree on which direction to move in. Unlike humans, ants cannot use verbal communication but most likely rely on private information and/or mechanical forces sensed through the carried item to coordinate their behaviour. Here, we investigated how groups of weaver ants achieve consensus during cooperative transport using a tethered-object protocol, where ants had to transport a prey item that was tethered in place with a thin string. This protocol allows the decoupling of the movement of informed ants from that of uninformed individuals. We showed that weaver ants pool together the opinions of all group members to increase their navigational accuracy. We confirmed this result using a symmetry-breaking task, in which we challenged ants with navigating an open-ended corridor. Weaver ants are the first reported ant species to use a 'wisdom-of-the-crowd' strategy for cooperative transport, demonstrating that consensus mechanisms may differ according to the ecology of each species.

CHAI: consensus clustering through similarity matrix integration for cell-type identification.

Several methods have been developed to computationally predict cell-types for single cell RNA sequencing (scRNAseq) data. As methods are developed, a common problem for investigators has been identifying the best method they should apply to their specific use-case. To address this challenge, we present CHAI (consensus Clustering tHrough similArIty matrix integratIon for single cell-type identification), a wisdom of crowds approach for scRNAseq clustering. CHAI presents two competing methods which aggregate the clustering results from seven state-of-the-art clustering methods: CHAI-AvgSim and CHAI-SNF. CHAI-AvgSim and CHAI-SNF demonstrate superior performance across several benchmarking datasets. Furthermore, both CHAI methods outperform the most recent consensus clustering method, SAME-clustering. We demonstrate CHAI's practical use case by identifying a leader tumor cell cluster enriched with CDH3. CHAI provides a platform for multiomic integration, and we demonstrate CHAI-SNF to have improved performance when including spatial transcriptomics data. CHAI overcomes previous limitations by incorporating the most recent and top performing scRNAseq clustering algorithms into the aggregation framework. It is also an intuitive and easily customizable R package where users may add their own clustering methods to the pipeline, or down-select just the ones they want to use for the clustering aggregation. This ensures that as more advanced clustering algorithms are developed, CHAI will remain useful to the community as a generalized framework. CHAI is available as an open source R package on GitHub: https://github.com/lodimk2/chai.

The wisdom of the crowd with partial rankings: A Bayesian approach implementing the Thurstone model in JAGS.

We develop a Bayesian method for aggregating partial ranking data using the Thurstone model. Our implementation is a JAGS graphical model that allows each individual to rank any subset of items, and provides an inference about the latent true ranking of the items and the relative expertise of each individual. We demonstrate the method by analyzing data from new experiments that collected partial ranking data. In one experiment, participants were assigned subsets of items to rank; in the other experiment, participants could choose how many and which items they ranked. We show that our method works effectively for both sorts of partial ranking in applications to US city populations and the chronology of US presidents. We discuss the potential of the method for studying the wisdom of the crowd and other research problems that require aggregating incomplete or partial rankings.

Applying cultural perspective in Indonesia municipal solid waste management process towards a grounded climate concept and action: A mini-review of opportunities and challenges.

This mini-review emphasises the role of municipal solid waste (MSW) as the biggest contributor to climate change, as well as the need for more grounded climate action. The UN Framework Convention on Climate Change (UNFCCC) 2023 Synthesis Report by the co-facilitators on the technical dialogue Key Finding 3 of applying the 'whole-of-society' approach in this article is interpreted as a cultural approach in MSW management planning and implementation process. Using anthropological critiques of development, the cultural approach is frequently considered an obstacle or a justification for a project's failure rather than an important aspect of the people being developed. Therefore, the goal of this mini-review is to showcase the findings and explore the practical application of UNFCCC Key Finding 3, emphasising its importance in every phase of the solid waste management process for climate action. This mini-review argues that applying a cultural perspective presents both opportunities and challenges. More importantly, without careful acknowledgement and consideration, opportunities can become challenges, if not vice versa. The discussion section explores the ways in which religious and economic conditions might offer a contextual understanding and effective techniques for managing MSW at the local level. To apply Key Finding 3 in practice, academia needs to move away from generality and embrace multiple 'modernities', while practitioners also need to include cultural perspectives to complement scientific knowledge.

The Wise Mind Balances the Abstract and the Concrete.

We explored how individuals' mental representations of complex and uncertain situations impact their ability to reason wisely. To this end, we introduce situated methods to capture abstract and concrete mental representations and the switching between them when reflecting on social challenges. Using these methods, we evaluated the alignment of abstractness and concreteness with four integral facets of wisdom: intellectual humility, open-mindedness, perspective-taking, and compromise-seeking. Data from North American and UK participants (N = 1,151) revealed that both abstract and concrete construals significantly contribute to wise reasoning, even when controlling for a host of relevant covariates and potential response bias. Natural language processing of unstructured texts among high (top 25%) and low (bottom 25%) wisdom participants corroborated these results: semantic networks of the high wisdom group reveal greater use of both abstract and concrete themes compared to the low wisdom group. Finally, employing a repeated strategy-choice method as an additional measure, our findings demonstrated that individuals who showed a greater balance and switching between these construal types exhibited higher wisdom. Our findings advance understanding of individual differences in mental representations and how construals shape reasoning across contexts in everyday life.