In this article, we aim to unpack some of the hidden curriculum in publishing successfully in the (JCP) and other academic outlets. The many unspoken and implicit considerations behind writing a successful academic article can reinforce epistemic exclusions around class, gender, race, sexuality, and other axes of power that ultimately limit who gets to publish in academic journals and about what. Thus, we work to articulate the processes behind writing an academic article. Specifically, we offer suggestions for (a) writing compelling, precise, and parsimonious introductions, (b) clearly addressing the goals of the study via an accurate and detailed description of the method, (c) aligning analytic decisions with the research questions or hypotheses and the data parameters at hand, and (d) discussing the of data in the context of prior scholarship, study limitations, and real-world implications. Where applicable, we provide concrete examples of published studies to "unhide" writing processes and to illustrate the invisible narratives and intentions behind key writing practices. We also present a checklist as an easy-to-reference companion to this article to help demystify the writing process. This article aligns with the commitment of JCP's editorial leadership to play an active role in opening up the scholarly publication process so that the pipeline of manuscripts submitted to and accepted by JCP shapes a more inclusive future for the field. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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http://dx.doi.org/10.1037/cou0000650 | DOI Listing |
Cognition
January 2025
Chair of Philosophy of Mind, Faculty of Philosophy, Philosophy of Science and Religious Studies Ludwig-Maximilians-Universität München, Munich, Germany; Munich Center for Neuroscience, Ludwig-Maximilians-Universität München, Munich, Germany; Institute of Philosophy, School of Advanced Study, University of London, London, UK; Cognition, Values, Behaviour Lab, Ludwig-Maximilians-Universität München, Munich, Germany. Electronic address:
The sense of agency is the subjective feeling of control over one's own actions and the associated outcomes. Here, we asked whether and to what extent the reasons behind our choices (operationalized by value differences, expected utility, and counterfactual option sets) drive our sense of agency. We simultaneously tested these three dimensions during a novel value-based decision-making task while recording explicit (self-reported) and implicit (brain signals) measures of agency.
View Article and Find Full Text PDFSmall
January 2025
College of Physical Science and Technology, Xiamen University, Xiamen, 361005, P. R. China.
Twisted bilayer graphene (TBG) has drawn considerable attention due to its angle-dependent electrical, optical, and mechanical properties, yet preparing and identifying samples at specific angles on a large scale remains challenging and labor-intensive. Here, a data-driven strategy that leverages Raman spectroscopy is proposed in combination with deep learning to rapidly and non-destructively decode and predict the twist angle of TBG across the full angular range. By processing high-dimensional Raman data, the deep learning model extracts hidden information to achieve precise twist angle identification.
View Article and Find Full Text PDFActa Bioeng Biomech
September 2024
Faculty of Computer Science, Kazimierz Wielki University, Bydgoszcz, Poland.
Monitoring and assessing the level of lower limb motor skills using the Biodex System plays an important role in the training of football players and in post-traumatic rehabilitation. The aim of this study was to build and test an artificial intelligence-based model to assess the peak torque of the lower limb extensors and flexors. The model was based on real-world results in three groups: hearing ( = 19) and deaf football players ( = 28) and non-training deaf pupils ( = 46).
View Article and Find Full Text PDFSci Rep
January 2025
Department of Computer Science and Engineering, Engineering College Ajmer, Ajmer, Rajasthan, India.
To combat dynamically loaded code in anti-emulated environments, DLCDroid is an Android app analysis framework. DL-CDroid uses the reflection API to effectively identify information leaks due to dynamically loaded code within malicious apps, incorporating static and dynamic analysis techniques. The Dynamically Loaded Code (DLC) technique employs Java features to allow Android apps to dynamically expand their functionality at runtime.
View Article and Find Full Text PDFNat Commun
January 2025
College of Chemistry, Nankai University, Tianjin, China.
Pathogenic intracellular bacteria pose a significant threat to global public health due to the barriers presented by host cells hindering the timely detection of hidden bacteria and the effective delivery of therapeutic agents. To address these challenges, we propose a tandem diagnosis-guided treatment paradigm. A supramolecular sensor array is developed for simple, rapid, accurate, and high-throughput identification of intracellular bacteria.
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