38978 research outputs found
Sort by
Systematic Review - Communicative Intentions in Digital Publications
No full textThis project contains the systematic review protocol for my doctoral thesis titled "Methods for Identifying Communicative Intentions in Digital Publications."
The systematic review follows PRISMA 2020 guidelines and aims to map and analyze current methods (computational, NLP-based, and manual) used to identify communicative intentions in digital content, with special emphasis on fake news detection and discourse analysis.
Databases: Scopus, Web of Science, ACM Digital Library, Google Scholar
Search period: 2020-2026
Languages: English and Spanish
This registration includes: complete protocol, search strategy, inclusion/exclusion criteria, and data extraction forms.
Principal Investigator: Luis Rojas Rubio
Institution: Universidad Americana de Europa
Field: Computer Science - Natural Language Processin
Heart rate variability as a biomarker for autonomic recovery and maternal wellbeing following caesarean delivery: a scoping review protocol
No full textIntroduction: Caesarean delivery accounts for more than 21% of all births worldwide, with rates exceeding 30% in several countries, yet objective physiological markers for monitoring postoperative maternal recovery remain scarce. Heart rate variability (HRV), a non-invasive index of autonomic nervous system (ANS) integrity, has demonstrated prognostic value in general surgical populations. However, no previous review has systematically examined whether HRV can serve as a biomarker for tracking autonomic recovery and overall maternal wellbeing during the postpartum period following caesarean delivery. This scoping review will map the extent, range, and nature of evidence on HRV monitoring in caesarean populations within a recovery-assessment framework.
Review question: What is the nature, extent, and distribution of published evidence on the use of heart rate variability for evaluating autonomic recovery and maternal wellbeing after caesarean delivery?
Inclusion criteria: The review follows a Population–Concept–Context (PCC) framework (Table 1). The population comprises women undergoing caesarean delivery, with elective procedures as the primary focus and emergency caesarean analysed as a distinct subgroup. The concept is any validated measurement of HRV parameters, including time-domain, frequency-domain, and non-linear indices. The context encompasses the perioperative-to-postpartum continuum, from the preoperative baseline through six weeks after delivery. Original peer-reviewed research of any observational or interventional design will be eligible; conference abstracts, dissertations, and non-English publications will be excluded.
Methods: The protocol adheres to the Joanna Briggs Institute (JBI) methodology for scoping reviews, with reporting guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). A three-step search strategy will be employed across PubMed, Embase, CINAHL, Cochrane Central Register of Controlled Trials, and Web of Science, followed by hand-searching of reference lists and citation tracking. Two independent reviewers will perform screening and data extraction using a piloted extraction form. Findings will be synthesised narratively and presented through temporal evidence mapping, an evidence gap map, and structured summary tables.
Discussion: By identifying methodological inconsistencies and evidence gaps, this review will establish a foundation for future studies investigating HRV-guided enhanced recovery after caesarean (ERAC) protocols and inform the design of targeted randomised controlled trials
Return to sports using interpretable movement behavior
No full textThe complexity of the human locomotive system creates challenges in assessing the quality of an individual's movements. While wearable sensors can provide a wealth of information through the data they collect, interpreting that data presents another challenge. The purpose of this study was to investigate whether Principal Component Analysis (PCA) performed on sensor data collected during locomotor task could identify movement strategies used by individuals returning to sport (return-to-sport; RTS)
Exploring community savings group mechanisms and their health impacts in Sub Saharan Africa: a scoping review using artificial intelligence
No full textAchieving Target 3.8 of the Sustainable Development Goals for Universal Health Coverage (UHC) requires a robust transition from inefficient out-of-pocket (OOP) payments toward equitable pre-payment mechanisms. In Sub-Saharan Africa, where financial hardship and healthcare inequity remain critical challenges, traditional Microfinance Institutions (MFIs) often fail the rural poor due to a "mission drift" toward profitability. Community Savings Groups (CSGs) have emerged as a vital, decentralized alternative. With over 14 million members active across the continent as of late 2025, these autonomous, savings-led groups demonstrate significant potential for increasing healthcare utilization and enhancing financial resilience.
However, while the implementation of CSGs is widespread, the evidence linking these diverse models to specific health outcomes remains fragmented and poorly synthesized. A preliminary search of the JBI and Cochrane databases confirms that high-level evidence synthesis in this area is scarce. This highlights a critical need for a scoping review to systematically map the existing literature, clarify the complex typologies of these groups, and identify exactly how their mechanisms, particularly dedicated health funds, influence financial protection and health access. This study aims to explore regional evidence on the impacts of savings groups on access to healthcare, health outcomes and financial protection in Subsaharan Africa. The study has a particular interest in dedicated health funds in savings groups. This study will be conducted in accordance with the Joanna Briggs Institute (JBI) methodological guidance for scoping reviews and reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guidelines. To enhance the efficiency and reproducibility of the evidence synthesis, the review process will be supported by Artificial Intelligence (AI) and Large Language Models (LLMs)
INTERVENTION FOR HAMSTRING IN YOUNG ADULTS AGED 18-25 : A SCOPING REVIEW
No full textThe interventions for hamstring tightness and flexibility in young adults aged 18 to 25. This review will identify and characterize the full range of studied interventions, synthesize the current evidence, identify key concepts and gaps, and provide a foundational resource for future research and targeted clinical strategies for this collegiate-age demographic
The Theory of Stochastic Stagnation
No full textI introduce the Theory of Stochastic Stagnation to address a critical flaw in current AI trajectories: the transition from open-ended evolution to refined repetition. My research argues that by prioritizing error minimization, artificial systems systematically prune the 'tails' of probability distributions—the very regions where genuine novelty and innovation originate.
This paper synthesizes empirical evidence from 2024-2025 to validate four core observations: the narrowing performance gap among top-tier models (shrinking from 11.9% to 5.4%) , the saturation of synthetic data on the web , a significant decline in idea diversity (Hedges’ g: -0.86) , and a rising consumer 'authenticity premium'. Rather than viewing AI as a human replacement, I propose the Director-Assistant Paradigm. In this symbiotic framework, humans provide the necessary 'entropic disruption' (risk-driven variance) while AI provides 'syntropic refinement' (scalable execution). Ultimately, this work defines the mathematical and biological boundaries required to keep intelligence generative rather than just efficient
Preserved discrimination of looming trajectories across parafoveal and peripheral vision
No full textInformation-Imprinting Geometry and the Origin of Galactic Dynamics and the Baryonic Tully–Fisher Relation
No full textThis preprint presents a minimal effective gravitational framework in which galactic-scale dynamics emerge from an information-imprinting mechanism associated with baryonic mass distributions. The model does not invoke dark matter particles or phenomenological acceleration scales such as those assumed in Modified Newtonian Dynamics.
An information potential field, sourced by baryonic density, generates an effective information-fluid component through a nonlinear coupling. Within this framework, flat galactic rotation curves and the baryonic Tully–Fisher relation naturally arise from geometric boundary scaling, controlled by the baryonic boundary scale R_b and an information condensation efficiency \eta.
The theory is intentionally formulated as an effective model applicable at galactic scales, with an automatic screening mechanism that restores standard Newtonian gravity and General Relativity in small-scale systems such as the Solar System. Cosmological initial conditions and high-energy modifications of gravity are explicitly outside the scope of the present work.
This preprint is associated with the OSF project KUTERN-0: Finite-Information Late-Time Cosmology and Tension Alleviation and is currently prepared for journal submission
