38978 research outputs found
Sort by
Immediate versus delayed dental implant placement: an umbrella review
This umbrella review evaluates the differences in survival, success, complication, and failure rates when comparing immediately placed versus delayed dental implants. While several systematic reviews have addressed this topic over time, their results often show inconsistencies and can even be contradictory. By performing a methodological evaluation of existing systematic reviews, this study aims to unify concepts, identify patterns, and better understand the gaps in the literature regarding the clinical performance of immediate and delayed dental implants
GDMP – Graph-Dynamic Mapping Paradigm for Scientific Knowledge
OSF Registration / Preprint Draft
Title:
Tandem Rule-Based Structural Formalization of Multilevel Theoretical Models Using Large Language Models: the GDMP Case
Subtitle:
A methodology of tandem human–AI interaction for iterative construction, validation, and formalization of complex multilevel theoretical models
Abstract:
This work formalizes a methodology for tandem structural formalization of multilevel theoretical models based on an explicit system of rules, meta-rules, and iterative extrapolation using Large Language Models (LLMs) as instruments of analytical validation. The method employs tensor-graph representation, hierarchical organization of nodes and edges across abstraction levels, recursive redundancy elimination, and accumulation of rules as the model’s memory.
A strict role separation is central: humans perform synthetic functions (generating new concepts, hypotheses, paradigms, paradoxes), while AI performs analytical functions (checking consistency, structural validation, redundancy elimination). The process is iterative and becomes possible only through persistent storage and accumulation of rules and meta-rules.
The GDMP model serves as a demonstration. The publication fixes the methodology, not the detailed rules or internal structure, which remain part of a separate methodological document
Universal Biological Architecture: The Global Biosphere Discovery
Identifying the Earth as a petrified, water-cured school of Aquatic Creatures through the mapping of Structural Arches, Soft-Folds, and the Global Thermal Burn Path.
Registered under ORCID iD: 0009-0001-0280-6249.
The Advantage of Internal Causal Accounts: How Explanation Style and Harm Severity Shape Responsibility Attribution and Punishment Recommendations
The purpose of this research is to examine the combined effects of an action's consequences and the author's justifications on judgments of intentionality and culpability in the context of judicial decision-making.
Our primary goal is to extend the scope of Knobe's (2003) work, which demonstrates that people tend to judge actions with positive consequences as more intentional than those with negative consequences. However, in a legal context, only actions with negative consequences are subject to judgment.
We hypothesize that an action will be judged as more intentional when its consequences are severe rather than moderate. Additionally, we hypothesize that if the perpetrator assumes responsibility for the act (rather than rejecting it through an external explanation), he will be judged less severely when he explains his acts by assuming that he is the originator of the consequence
Testing the perception of LLM news quality ratings
Large Language Models (LLMs) are tools that can be used to generate but also to evaluate content. Given the massive proliferation of online news content, LLMs can be used as additional tools for users to evaluate the quality of information they receive.
In this experiment, we test one such tool. Specifically, we assess:
- its appeal, whether users actually engage with the tool;
- its perceived benefits, whether users think the tool conceptually and practically makes sense
Master Thesis 2025/2026
This study is a single-factor between-subjects experimental design. Participants are randomly assigned to one of two conditions: high perceived preventability and low perceived preventability. This study investigates whether anger mediates the relationship between perceived preventability and brand avoidance
Interface Stabilization Architecture (ISA)
Interface Stabilization Architecture (ISA) establishes a structural engineering framework for stabilized skeletal–device coupling in human–device load systems.
Framework paper:
Alley, R. (2026). Interface Stabilization Architecture (ISA): A Structural Framework for Stabilized Human–Device Load Environments. Zenodo. https://doi.org/10.5281/zenodo.18952616
Technical concept paper:
Alley, R. (2026). Interface Stabilization Architecture (ISA): Skeletal–Device Coupling Engineering for Stabilized Human–Machine Load Systems. Zenodo. https://doi.org/10.5281/zenodo.18962447
Recommended Citation
Alley, R. (2026).
Interface Stabilization Architecture (ISA):
A Structural Framework for Stabilized Human–Device Load Environments.
Zenodo. https://doi.org/10.5281/zenodo.18952616
Related Technical Concept
Alley, R. (2026).
Interface Stabilization Architecture (ISA):
Skeletal–Device Coupling Engineering for Stabilized Human–Machine Load Systems.
Zenodo. https://doi.org/10.5281/zenodo.1896244
A collective review on some potential negative impacts of smartphone and social media use on adolescent mental health: Results from a Delphi process
From innovation to adoption: barriers and facilitators to implementing digital risk assessment tools in severe mental illness - A scoping review protocol
Background
Digital risk assessment tools are increasingly being developed in psychiatry to support early detection and person-centred prevention of severe mental illness (SMI). Although validation studies show promising predictive accuracy, their uptake in routine care remains limited. Evidence of implementation in real-world contexts, and the practical, ethical, and organisational factors shaping their use, is still fragmented.
Objective
This study aims to map and characterise existing digital risk assessment tools and models, describe their external validation and implementation-related evidence, synthesise reported barriers and facilitators to adoption, including stakeholder perspectives, review available evidence on efficiency and cost-effectiveness, and identify gaps in the literature to guide future research and implementation initiatives.
Methods
Following the PRISMA-ScR framework, a scoping review will be conducted, including evidence published in eight databases (PubMed, Cochrane, Scopus, SciELO, Web of Science, Lens.org/OpenAlex, PsycINFO, CINAHL). Eligible studies will include digital prognostic risk assessment tools for SMI or associated somatic comorbidities. Data extraction will cover study design, population, model type, validation strategy, and with a specific focus on implementation-related aspects (e.g. real-world testing or implementation-related evaluations, acceptability, barriers and facilitators). Results will be summarised narratively and visually to identify reported methods, key implementation findings, and evidence gaps.
Ethics and Dissemination
As the review uses publicly available data, ethical approval is not required. Findings will be disseminated via a peer-reviewed publication, a preprint, and scientific conferences