Research works

Perturbative Chern-Simons invariants from non-acyclic flat connections

We give a short review of our construction of a higher-loop perturbative invariant of framed 3-manifolds, generalizing the perturbative Chern- Simons invariant of Witten-Axelrod-Singer, associated to an acyclic flat connection, to an invariant given by the integral of a certain “...

The Canonical Triple-Graph: A Structural Organization of the Positive Integers

The Canonical Triple-Graph (CTG) The set of positive integers is fixed, yet its familiar linear ordering conceals a latent hierarchical structure. This paper describes that structure through an admissible associator on the odd integers: n = (2ᵏm − 1) / 3, defined whenever 2ᵏm ≡ 1...

The green divide: renewable energy shaping community coherence

While renewable energy (RE) is crucial for the green transition, this contribution sheds light on how the process of proposing and implementing RE projects negatively impacts community coherence. The paper discusses the complexities of implementing RE projects in local communitie...

Distilling the WhiSCCI: Development of the White Short Critical Consciousness Index

Critical consciousness (CC) describes a system of awareness and action to liberate marginalized communities from oppressive systems. Modern scholarship often portrays CC as a tripartite model featuring an awareness of oppressive systems, the motivation to change them, and the act...

The effect of proximity of COVID-19 test facilities on test uptake: two quasi-experimental trials

Access to testing sites is a critical component in reducing the spread of a virus during infectious disease outbreaks. For example, distance to the testing site has been mentioned as an important self-reported barrier for test uptake during the COVID-19 pandemic. Despite its impo...

Evaluating Participant Diversity Gaps in Atopic Dermatitis Clinical Trials: A Systematic Review and Meta-Analysis

Introduction/Objectives: Atopic dermatitis (AD) is a common inflammatory skin condition affecting diverse demographic groups. Clinical trials are crucial for evaluating interventions, but insufficient diversity in age, race, and ethnicity among participants can limit the generali...

Absolute Kinematics and the Geometry of the Cosmos

TO 读者: 我得到了一条零参数的万能计算方程。 它很神奇。 现在,我将毫无保留地公布自己的思考轨迹: 宇宙存在一个实体,其余皆为表象;将时间本身确定为主体;将加速度与时间直接锚定 ;察觉到必须抛弃传统的相对惯性系,并抛弃了它;由现实可观测的三维空间,倒推其存在对应的原始三维加速度场;演绎一次对称...

Disorder‐Broadened Topological Hall Phase and Anomalous Hall Scaling in FeGe

ABSTRACT Magnetic skyrmions are promising candidates for next‐generation spintronic memory and logic due to their nanoscale size and topological stability. However, skyrmion‐based devices remain limited by narrow operating temperature windows that typically exclude cryogenic regi...

An Ontological Completion of Geometric Quantum Mechanics

Decades of work in geometric quantum mechanics and decoherence theory have clarified how quantum behaviour arises from underlying symplectic and dynamical structures, yet both leave unresolved why measurements yield definite outcomes with |ψ|² frequencies. This paper proposes a d...

Research Opportunities and Challenges of the EU’s Digital Services Act

Proposing practical measures to ensure the Digital Services Act fulfills its transparency and accountability goals.

Developmental relations between math anxiety and arithmetic fluency in elementary school students across six time points.

Math anxiety is widely recognized as a barrier to mathematical learning; however, its causal relationship with performance remains a topic of debate. The present study examined whether math anxiety predicts poor arithmetic fluency or vice versa by applying both a traditional Cros...

Developing an LLM-Based Feedback System Grounded in Evidence-Centered Design to Support Physics Problem Solving

Generative AI offers new opportunities for individualized and adaptive learning, e.g., through large language model (LLM)-based feedback systems. While LLMs can produce factually correct feedback for relatively straightforward conceptual tasks, delivering high-quality feedback fo...

An optimized product-enhanced reverse transcriptase assay for sensitive and quantitative detection of HIV viral load and phenotypic drug resistance

ABSTRACT The World Health Organization (WHO) recommends human immunodeficiency virus (HIV) drug resistance testing (DRT), but current tests are too complex and expensive for routine use. Genotypic DRT is challenging to interpret because of the growing list of mutations responsibl...

Prospective economic evaluation of a predictive artificial intelligence model for sepsis: Effects on hospital costs and return on investment

Early sepsis detection is essential for improving outcomes and reducing costs, but traditional rule-based systems have limited accuracy and real-world evidence for machine-learning alternatives remains scarce. In this context, BIAlert-Sepsis predicts sepsis risk within 24 hours u...

The LLM Wears Prada: Analysing Gender Bias and Stereotypes through Online Shopping Data

With the wide and cross-domain adoption of Large Language Models, it becomes crucial to assess the extent to which the statistical correlations in training data hide subtle and potentially troubling biases. Gender bias in LLMs has been widely investigated from the perspectives of...

Asymmetrical modulation of fear expression via GABA B receptors in the mouse medial habenula

Abstract The medial habenula (MHb) is implicated in regulating emotional responses to aversive events. Studies in zebrafish have identified a remarkable morphological left-right asymmetry in the dorsal habenula (zebrafish equivalent of mammalian MHb)-interpeduncular nucleus (IPN)...

Semi-supervised Retrieval of Functional Residues Through the Integration of Protein Language Models and Gene Ontology Data

Abstract Motivation Experimental studies of protein function often focus on mechanistic descriptions, characterizing how specific sites and residues contribute to activity. Abstractions such as domains and active sites enable quantitative descriptions of how protein features act...

Error estimates of linear decoupled structure-preserving incremental viscosity splitting methods for the Cahn--Hilliard--Navier--Stokes system

We propose first- and second-order time discretization schemes for the coupled Cahn– Hilliard–Navier–Stokes model, leveraging the incremental viscosity splitting (IVS) method. The schemes combine the scalar auxiliary variable method and the zero-energy-contribution approach, resu...

The changing surface of the world’s roads

Abstract Resilient road infrastructure is a cornerstone of the UN Sustainable Development Goals (SDGs), yet spatially consistent information on road surface conditions at the global scale remains limited. We overcome this gap based on a deep learning framework that extracts both...

Counting roots of unity on the graphs of Laurent series over non-Archimedean local fields

We completely classify Laurent series converging on the unit circle over a non-Archimedean local field (of any characteristic) that map infinitely many roots of unity to roots of unity. For a given Laurent series [Formula: see text] over a field of positive characteristic with re...