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    Test

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    Development and Validation of Ecological Momentary Interventions to Increase the Current Closeness Motivation in Romantic Relationships

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    In our study, we developed new and adapted existing manipulations to increase the current closeness motivation towards the romantic partner. Our manipulations are delivered via smartphone into participants' daily life. We will test whether there are better or worse working manipulations among the effective ones. To validate our manipulations, we will test, to which extent our manipulations affect other motivational and relational constructs simultaneously. We aim to provide a manipulation toolbox that is flexible to use for researchers when studying the dynamics of motivation, behavior and affective experiences in romantic relationships

    Counting Model

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    Quotient Disruption (QD): New Metric of Intelligence

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    This is a theoretical framework in cognitive science and strategic modeling. The author is not a medical professional. ​En français : ​Ce document présente un cadre théorique en sciences cognitives et modélisation stratégique. L'auteur n'est pas un professionnel de santé. Résumé : Le Quotient de Disruption (QD) et la Loi de l'Inversion Ce projet introduit le Quotient de Disruption (QD), modélisé par la loi de puissance : QD=Qs(Qi)^∆ L'exposant ∆ est défini comme le produit de coefficients psychophysiologiques (Q_e, Q_m, Q_f). Contrairement aux modèles psychométriques linéaires classiques, cette formalisation intègre une phase d'inversion critique (∆< 0). Dans cet état (panique, fatigue extrême, auto-sabotage), le potentiel intellectuel (Qi) devient le diviseur de sa propre efficacité. Ce modèle mathématique explique ainsi l'implosion cognitive et la paralysie analytique des hauts potentiels face à des systèmes de friction intense. English Version Abstract: The Disruption Quotient (QD) and the Law of Power Inversion This project introduces the Disruption Quotient (QD), modeled by the power law: QD=Qs(Qi)^∆ The exponent ∆ is defined as the product of psychophysiological state coefficients (Q_e, Q_m, Q_f). Unlike traditional linear psychometric models, this formalization incorporates a critical inversion phase (∆< 0). In this state (e.g., acute panic, sleep deprivation, or self-sabotage), intellectual potential (Qi) becomes the divisor of its own efficiency. This mathematical model provides a rigorous explanation for cognitive implosion and analytical paralysis observed in high-potential individuals under conditions of intense systemic friction

    Measuring adherence to multiple medications: A scoping review

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    Measuring medication adherence in patients can be challenging, both in clinical practice and in research studies. In an effort to define and standardise medication adherence terminology for clinical and research use, the European Ascertaining Barriers for Compliance (ABC) project developed a Taxonomy of Adherence including three essential components; (1) initiation (taking the first dose of the prescribed medication); (2) implementation (taking medication as prescribed); and (3) discontinuation (stopping treatment). While there are several methods available to measure medication adherence e.g. pill counts, self-report measures, administrative databases (pharmacy and insurance claim databases, registries) and electronic monitoring systems there is no established standardised method of measuring adherence. When patients’ medication regimens involve taking multiple medications (polypharmacy), accurately measuring adherence becomes even more challenging given the complexity of managing multiple medications for a range of acute and chronic conditions, with varying dosage and timing schedules. In recent years, polypharmacy and multimorbidity has become increasingly more prevalent and more than 30% of the global population has more than five acute or chronic conditions requiring multiple medications. A previous review of methods for measuring multiple medication adherence between the years 1973 and 2015 by the ISPOR Medication Adherence and Persistence Special Interest Group found no standardised method and a lack of consistency in the application of multiple medications adherence measures across studies. The aim of this review is to build on this previous review, by reviewing the more recent literature, to identify and evaluate measures of multiple medication adherence, in patients with polypharmacy

    텍스트 처리 데이터

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    PL_Graded-Entropy_8x8-Data

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    This node was automatically generated by DataPipe (https://pipe.jspsych.org/

    Discourses of Climate Delay: A Vignette Study

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    The climate crisis poses one of the greatest challenges to human life on the planet. There is scientific consensus that the climate crisis is man-made and that the burning of fossil fuels is a major driver. Nevertheless, greenhouse gas emissions continue to rise and climate protection measures remain insufficient or lag behind what is neccessary. One reason for this are the Discourses of Climate Delay (DOCD), climate protection excuses that seek to delay climate protection measures (Lamb et al. 2020). In preliminary work, we found that agreement with the DOCD is associated with lower support for political climate protection measures (Metzen et al. 2025). In the following experimental study, we want to investigate whether the targeted refutation of two DOCDs (fossil fuel solutionism (FFS) and free rider argument (FRA)) can increase support for pro-environmental energy policies and whether targeted endorsement of DOCDs can reduce support for pro-environmental energy policies. To this end, we are conducting an online experiment via the Prolific platform. Participants will be randomly assigned to one of five conditions: 1. FFS - 2. FFS + 3. FRA - 4. FRA + 5. control The participants are presented with a fictional newspaper article and asked to read it carefully. All articles deal with a conversation between two people—Thomas Keller and Johann Wagner—at the Federal Press Conference. In groups 1-4, Thomas Keller, the managing director of an energy association, uses delaying tactics to argue against climate protection measures. In the FFS condition (groups 1-2), he uses fossil fuel solutionism (fossil fuels such as coal, oil, and gas are part of the solution because our power plants are becoming increasingly efficient). In the FRA condition (groups 3-4), he uses the free rider argument (if we in Germany do too much climate protection, it will weaken our economy and other countries will benefit). State Secretary Johann Wagner responds to his statement – in the minus condition (groups 1 and 3), he refutes Keller's arguement. In the plus condition (groups 2 and 4), he endorses Keller's argument. Wagner always refers to data that supports his statement. Group 5 is the control group. Their newspaper article is about the renovation of the Bundestag. Keller, the managing director of the construction company, says that the renovation will require more financial resources than previously thought. Wagner comments that the funds were calculated based on past renovation work and that this calculation would be reviewed. The vignettes are uploaded in this preregistration. A comprehension check is presented together with the newspaper article. Since we want to investigate the influence of DOCD on support for pro-environmental energy policies, it is important that the participants actually read the newspaper article. Therefore, we use a multiple-choice question about the content to check whether the participants have understood the content of the newspaper article. Since the comprehension check and the newspaper article are presented together, they can reread the article if necessary. In accordance with Prolific's guidelines on comprehension checks, the participants have two attempts to answer the question correctly. After the second incorrect answer, the survey is terminated

    Procedural Learning Task Using Transition Matrices with Graded Entropy

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    Procedural learning is traditionally studied via serial reaction time tasks. In a typical serial reaction time task trial, a stimulus appears in one of four positions on screen, and the participant is tasked to press a corresponding key as quickly as possible. These trials are designed to follow a statistical pattern that determines what the current target position is based on the position(s) one or more steps back. Participants' ability to implicitly learn motor sequences is measured by how their response times and/or accuracy improve as they are exposed to more and more trials that follow the pattern. In this study, we use a new probabilistic paradigm to study procedural learning, where instead of using a deterministic, finite sequence with a fixed level of noise, we generate our stimulus position sequence using transition matrices that assign a different level of entropy to each position, such that it is harder to predict what the next position given the current position for some positions than others. We are interested in how this affects implicit procedural learning of the statistical patterns. We also vary between subjects the total number of positions to see how this modulates procedural learning

    Mindfulness-based apps to support the psychological wellbeing of family caregivers: a scoping review protocol

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    This project contains the prospectively registered protocol for a scoping review exploring the use of mindfulness-based mobile apps to support the psychological wellbeing of family caregivers. The review will be conducted in accordance with JBI methodology and reported using the PRISMA-ScR checklist

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