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Diagnosing Quark–Gluon Entanglement Beyond Spatiotemporal Separation: A Sensitivity–Specificity Framework ( By Hema Kasisomayajula)
No full text**Summary / Description**
This manuscript examines **quantum entanglement (QE)** beyond traditional **spatiotemporal diagnostics**, addressing regimes where geometric separation between entangled subsystems collapses, such as **confined quark–gluon systems** within hadrons or **high-energy particle collisions**. Standard approaches based on **Bell-type inequalities** and spatial separation are insufficient to uniquely identify entanglement in these dense, ultra-fast environments. We introduce a **correlation-based framework** utilizing **sensitivity and specificity metrics** to classify and detect quantum correlations when spatiotemporal markers are degenerate.
We review the **earliest experimental recordings of entanglement**, including the **Freedman–Clauser (1972) experiment** and subsequent **Aspect et al. (1982) demonstrations**, as foundational cases of photon entanglement. At higher energy scales, **ATLAS (2024)** observations of **top quark pair entanglement** highlight the persistence of quantum correlations among partons, while **heavy-ion collision experiments (NA35, NA49)** provide empirical evidence that hadronic outputs encode **underlying quark–gluon correlated behavior**. Despite the lack of unique spatiotemporal signatures for these events, correlations manifest as measurable, **information-theoretic constraints** among dynamical degrees of freedom, offering a pathway to identify **unique entanglement events in dense QCD media**.
By drawing a parallel with **Navier–Stokes turbulence**, where local geometric intuition fails but correlations remain measurable, the manuscript proposes that **ubiquitous entanglement** in confined systems can be systematically identified using **statistical and structural diagnostics**. Keywords for discoverability include: **quantum entanglement, quark-gluon plasma, heavy-ion collisions, top quark entanglement, correlation-based diagnostics, sensitivity, specificity, QCD, nonlocal correlations, high-energy physics, confined systems, information-theoretic entanglement, Navier–Stokes analogy, dense matter quantum correlations**.
This work provides a **conceptual and methodological framework** for understanding and identifying entanglement in regimes where traditional spacetime-based signatures fail, offering a bridge between **high-energy particle physics, quantum information theory, and statistical correlation diagnostics**
Neural and physiological dynamics before and after unpredictable collision events in virtual reality using novel wearable sensing
No full textThis project examines whether pre-stimulus and post-stimulus physiological activity differ between unpredictable simulated car collision and neutral (no collision) events. While the primary focus is on predictive anticipatory activity (PAA; changes in physiological signals that occur prior to randomly selected events in the absence of explicit predictive cues), the realistic, immersive nature of this VR paradigm also enables investigation of post-stimulus responses to collision events. The study aims to carefully control for potential confounds that could produce similar anticipatory patterns (e.g., order effects, expectation bias, time-on-task effects).
Participants will take part in a virtual reality (VR) driving simulation presented using a head-mounted display. They will be seated in a passive driving scenario in which they observe a road while their own vehicle moves forward automatically. On each trial, a car appears in the opposite lane. In one condition, the car simply passes by without incident (no-collision trials). In another condition, the car unpredictably crashes into the participant's vehicle (collision trials). Importantly, participants receive no sensory or temporal cues indicating whether an accident will occur on a given trial. Crash and no-crash trials are randomly interspersed, and trial order will be determined using a quantum random number generator (qRNG). A fixed inter-stimulus interval (ISI) will be used to control for temporal expectation effects, as variable ISIs elicit CNV activity related to predicting when events occur, which would confound the detection of anticipatory activity related to what type of event will occur. The study employs a fully passive paradigm, with no required motor response, to avoid confounds related to movement preparation.
Physiological data will be recorded continuously using the novel Galea system (by OpenBCI, Inc.), which integrates Varjo Aero virtual reality (VR), electroencephalography (EEG), electrodermal activity (EDA), photoplethysmography (PPG; heart rate), and inertial measurement units (IMU) within a single wearable platform. Analyses will examine both the pre-stimulus period preceding each event and the post-stimulus period following each event, comparing physiological activity surrounding collision versus no-collision trials. This temporal approach allows examination of anticipatory signatures before events and reactive responses after events.
The project has five objectives:
(1) Discriminate the post-stimulus physiological correlates between unpredictable collisions compared to no-collision events.
(2) Investigate whether pre-stimulus physiological activity differs before unpredictable collisions compared to no-collision events.
(3) If anticipatory effects are observed, determine whether they are related to or modulated by: (a) the contingent negative variation (CNV), a well-characterized slow negative EEG potential in frontocentral regions associated with temporal expectation; (b) expectation biases arising from perceived patterns in random sequences; (c) time-on-task effects such as habituation; and (d) gambler's fallacy-type reasoning where participants may implicitly expect event probabilities to balance over short timescales by learning the stimulus design.
(4) Examine whether anticipatory and reactive physiological effects are modulated by third variables such as age, gender, and prior driving or athletic experience.
(5) Explore whether combining multiple physiological modalities using machine-learning approaches improves the detection of anticipatory effects compared to single-modality analyses.
All hypotheses, preprocessing steps, and statistical analyses will be preregistered. Anonymized data and analysis code will be made openly available. The results are expected to clarify whether anticipatory physiological activity preceding unpredictable events can be robustly observed in an ecologically valid, immersive environment, and whether such effects can be distinguished from conventional anticipatory potentials and cognitive biases. This study employs state-of-the-art analysis methods and addresses key methodological limitations identified in prior research
Indonesia Darurat Gula : Saatnya Cukai Minuman Manis Diterapkan
No full textPenerapan kebijakan cukai terhadap MBDK memiliki manfaat yang signifikan dalam meningkatkan derajat kesehatan masyarakat, memperkuat kesadaran sosial, dan memberikan dampak ekonomi yang positif. Dari sisi kesehatan, kebijakan ini mampu menekan konsumsi gula berlebih yang menjadi faktor risiko utama PTM. Dari sisi sosial, penerapan cukai mendorong terbentuknya perilaku hidup sehat di masyarakat, sedangkan secara ekonomi, kebijakan ini berpotensi meningkatkan penerimaan negara yang dapat dialokasikan kembali untuk program promotif dan preventif di sektor kesehatan. Dengan demikian, cukai MBDK tidak hanya berfungsi sebagai instrumen fiskal, tetapi juga sebagai alat regulasi perilaku konsumsi masyarakat menuju pola hidup yang lebih sehat dan berkelanjutan
The Bridge — Index and Entry Guide for the Diagnostic Instrument Set
No full textDescription
The Bridge is the diagnostic instrument set for entering, sequencing, and applying the diagnostics associated with the Universal Law of Coherence Dynamics. This index provides a structured entry guide indicating which diagnostic to use based on scale, question type, and available evidence.
The Bridge is procedural, not theoretical. It does not define laws, generate measurements, interpret outcomes, or prescribe intervention. Its purpose is to ensure consistent diagnostic entry, prevent category overlap, and maintain clear separation between individual-level, aggregate-level, system-level, and temporal diagnostics.
When applicable, diagnostics are entered in the following logical order:
Internal Misalignment Diagnostic (individual coherence)
Constraint Transparency Diagnostic (rule clarity)
Constraint Alignment Diagnostic (constraint–outcome alignment)
Constraint Fragmentation Diagnostic (system disorder under load)
Trajectory Diagnostic (direction over time)
This guide supports reproducibility by standardizing diagnostic sequencing. The structure of The Bridge is fixed; its usage guidance may be refined for clarity without altering underlying laws or diagnostic definitions
Replication Package: Competing Devotions in the Postpandemic Economy: The Effect of Remote Working on Perceptions of Employees as “Good Workers” and “Good Parents” in Germany, South Korea, and the United States
No full textOSF for "End of world beliefs are common, diverse, and predict how people perceive and respond to global risks."
No full textThis is the OSF repository for the article "End of world beliefs are common, diverse, and predict how people perceive and respond to global risks" by Billet, White, Shariff, & Norenzayan.
This page contains a preregistration, data and code for the main study, as well as the complete supplemental material
Research Protocol: Adoption of AI in Mental Health Clinical Decision Support: a Scoping Review of Clinician Attitudes and Perceptions
No full textweek 1: using oscilloscopes for signal capture and identification
No full textmaterials related to week 1 lab task
Percepton Theory v1.2 — A Geometric Framework for Perception and Physical Law
No full textThis registration records the public disclosure and authorship of Percepton Theory, an independently developed foundational framework proposing that observable reality and physical law emerge from a pre-existing geometric structure. This registration serves as a timestamped priority record