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Khalid M. Saqr

Publications and source records attributed to Khalid M. Saqr.

11 recordsLinked to original sources

A Zero-Flux Material Cylinder in the Unsteady Kiknadze--Krasnov Vortex

In viscous flow, the circulation enclosed by a deterministic material loop generally changes through vorticity diffusion. It is shown that the source-bearing unsteady Kiknadze--Krasnov vortex possesses a distinguished cylindrical material surface on which this viscous circulation transfer vanishes identically. For a single distributed mode, the scaled squared radius $x=β(t)r^2$ satisfies \[ \frac{\mathrm D x}{\mathrm D t} = 4νβ(t)\big[(s-1)-x\big], \] where $β(t)$ is the inverse squared radial scale, $ν$ is the kinematic viscosity, and $s$ is the incomplete-gamma shape parameter. For $s>1$, the cylinder $x=s-1$ is transported exactly by the radial flow and preserves the inside/outside ordering of fluid trajectories. The same factor $(s-1)-x$ governs the radial vorticity gradient and the material circulation-transfer rate. Consequently, the magnitude of the distributed axial vorticity $|ω_z|$ attains its annular maximum on this material cylinder, $\partial_rω_z=0$ there, and the enclosed circulation remains exactly $ΓP(s,s-1)$ for every admissible prescribed strain history. Neighbouring material cylinders continue to exchange circulation viscously, while the distinguished moving cylinder carries a fixed fraction of the distributed circulation throughout the admissible evolution. In the steady source--strain limit, the surface reduces to the radial stagnation cylinder. The complete velocity and pressure fields, exact radial-scale evolution, admissible parameter ranges, and qualifications for multiple radial scales are also derived. The resulting solution-specific material-circulation invariant provides an exact benchmark for numerical material-surface tracking, vortex-core evolution, and viscous circulation transport, with the principal analytical results additionally supported by machine-checked formal verification.

physics.flu-dyn↗

Zero-shot reasoning for simulating scholarly peer-review

Scholarly publishing requires scalable scrutiny supported by auditable evidence. This paper presents a two-component benchmark of xPeer, the peer-review simulation engine delivered through the xPeerd.com web front-end. The operational component analyzes 352 of 500 simulation records retained under stable-task criteria across disciplines and review modes. The human-reference component releases 1,108 version-1 F1000Research manuscript records with linked human reports and applies a prespecified two-human/two-xPeer comparison. Human-review text and recommendations remained outside the generation input, and source joining occurred after xPeer outputs had been persisted. This procedure defines workflow-level review withholding; prior model exposure falls outside the recorded design. Among 802 records with exactly two human reports, 271 contained two usable xPeer reviewer fields, giving a complete-pair availability rate of 33.8%. Under deterministic extraction rules, median manuscript-level report length was 1,889 words for xPeer and 763 for humans, while median concern count was 41 and 13, respectively. xPeer reports showed higher targeting, category coverage, and executability. Human reports showed higher explicit-reasoning language, lexical manuscript attestation, taxonomy-based scientific relevance, and lower mean within-source redundancy. Cross-source lexical concern matching and recommendation agreement were low. The evidence therefore defines distinct observable review profiles and a transparent reproducibility baseline. Scientific correctness of individual concerns, autonomous editorial use, and cross-system superiority require expert adjudication and common-protocol testing. The study-level dataset and exact version-pinned reproducibility record are archived on Zenodo

cs.AI↗

A gauge identity for interscale transfer in inhomogeneous turbulence

Local interscale energy transfer in Large Eddy Simulation (LES) is typically diagnosed using the subgrid-scale (SGS) production, $Π^{SGS}$. In this work, an exact algebraic gauge identity is derived, demonstrating that $Π^{SGS}$ is composed of a kernel-integrated increment-based transfer, $Π^{inc}$, and the divergence of a spatial transport current, $\nabla \cdot J$. This identity was verified to machine precision ($10^{-16}$) using the analytical multi-harmonic Womersley solution. Further evaluation was conducted via Direct Numerical Simulation (DNS) of turbulent channel flow at $Re_τ\approx 1000$. It was observed that $\nabla \cdot J$ dominates $Π^{SGS}$ in the near-wall region. The results suggest that $Π^{SGS}$ is not a unique proxy for the local cascade in inhomogeneous flows. A new framework is thus provided for the interpretation of interscale transfer diagnostics in wall-bounded transport phenomena.

physics.flu-dyn↗

Resonant spectral cascade in Womersley flow triggered by arterial geometry

Age-related arterial remodeling is dominated by progressive loss of elastic-fiber function and concomitant stiffening, and in many vascular beds it is also accompanied by measurable geometric remodeling (e.g., elongation and tortuosity). These changes are clinically relevant because they modify pulsatile phase relationships, near-wall shear, and axial transport, yet the precise physical mechanisms by which geometry modulates spectral energy redistribution remain insufficiently resolved. While complex geometry is known to increase viscous resistance, its active role in modulating flow dynamics is not fully understood. Here we solve a mathematical model to show that arterial geometry can trigger a resonant transfer of energy to short-wavelength components of the flow. The investigation, conducted over a physiological range of Womersley numbers (Wo, a dimensionless measure of pulsation frequency), reveal a dual dynamic. The global wave energy consistently decays, confirmed by a negative growth rate (G < 0), indicating that the flow does not become exponentially unstable. However, a spectral broadening ratio (R), which quantifies the energy in high-wavenumber versus low-wavenumber modes, exhibits a sharp, non-monotonic peak at an intermediate Wo. This result identifies a resonant frequency at which geometry is maximally efficient at generating spectral complexity, even as the overall flow attenuates. These findings reframe the role of arterial geometry from a passive dissipator to an active modulator of the flow's spectral content, suggesting that spectral diagnostics could provide a sensitive marker for vascular health.

physics.flu-dyn↗

Spectral spacetime-geometry of Womersley flow

We revisit the classical Womersley solution for pulsatile viscous flow in a circular tube and reconstruct its full time-domain geometry from first principles. By combining harmonic decomposition with exact Bessel solutions, we derive a unified spectral spacetime analytical solution in which the instantaneous relationship between pressure gradient and velocity can be visualized as a loop in phase space. The enclosed loop area is shown to equal the mean hydraulic power per cycle, establishing an exact geometric-energetic identity that holds for arbitrary Womersley number and harmonic composition. We further show that higher harmonic content and increasing Womersley number induce topological transitions in these loops, producing cusps, self-intersections, and curvature hot spots that correspond to inertial-viscous phase dispersion. This framework provides a rigorous baseline for interpreting arterial pressure-flow loops, connecting frequency-domain impedance analysis to measurable time-domain geometry.

physics.flu-dyn↗

A Novel Kuhnian Ontology for Epistemic Classification of STM Scholarly Articles

Despite rapid gains in scale, research evaluation still relies on opaque, lagging proxies. To serve the scientific community, we pursue transparency: reproducible, auditable epistemic classification useful for funding and policy. Here we formalize KGX3 as a scenario-based model for mapping Kuhnian stages from research papers, prove determinism of the classification pipeline, and define the epistemic manifold that yields paradigm maps. We report validation across recent corpora, operational complexity at global scale, and governance that preserves interpretability while protecting core IP. The system delivers early, actionable signals of drift, crisis, and shift unavailable to citation metrics or citations-anchored NLP. KGX3 is the latest iteration of a deterministic epistemic engine developed since 2019, originating as Soph.io (2020), advanced as iKuhn (2024), and field-tested through Preprint Watch in 2025.

cs.AI↗

The State of Papers, Retractions, and Preprints: Evidence from the CrossRef Database (2004-2024)

A 20-year analysis of CrossRef metadata demonstrates that global scholarly output -- encompassing publications, retractions, and preprints -- exhibits strikingly inertial growth, well-described by exponential, quadratic, and logistic models with nearly indistinguishable goodness-of-fit. Retraction dynamics, in particular, remain stable and minimally affected by the COVID-19 shock, which contributed less than 1% to total notices. Since 2004, publications doubled every 9.8 years, retractions every 11.4 years, and preprints at the fastest rate, every 5.6 years. The findings underscore a system primed for ongoing stress at unchanged structural bottlenecks. Although model forecasts diverge beyond 2024, the evidence suggests that the future trajectory of scholarly communication will be determined by persistent systemic inertia rather than episodic disruptions -- unless intentionally redirected by policy or AI-driven reform.

cs.DL↗

Simulation of Non-Ordinary Consciousness

The symbolic architecture of non-ordinary consciousness remains largely unmapped in cognitive science and artificial intelligence. While conventional models prioritize rational coherence, altered states such as those induced by psychedelics reveal distinct symbolic regimes characterized by recursive metaphor, ego dissolution, and semantic destabilization. We present \textit{Glyph}, a generative symbolic interface designed to simulate psilocybin-like symbolic cognition in large language models. Rather than modeling perception or mood, Glyph enacts symbolic transformation through recursive reentry, metaphoric modulation, and entropy-scaled destabilization -- a triadic operator formalized within a tensorial linguistic framework. Experimental comparison with baseline GPT-4o reveals that Glyph consistently generates high-entropy, metaphor-saturated, and ego-dissolving language across diverse symbolic prompt categories. These results validate the emergence of non-ordinary cognitive patterns and support a new paradigm for simulating altered consciousness through language. Glyph opens novel pathways for modeling symbolic cognition, exploring metaphor theory, and encoding knowledge in recursively altered semantic spaces.

q-bio.NC↗

Amicus Plato, sed magis amica veritas: There is a reproducibility crisis in COVID-19 Computational Fluid Dynamics studies

There is overwhelming evidence on SARS-CoV-2 Airborne Transmission (AT) in the ongoing COVID-19 outbreak. It is extraordinarily difficult, however, to deduce a generalized framework to assess the relative airborne transmission risk with respect to other modes. This is due to the complex biophysics entailed in such phenomena. Since the SARS outbreak in 2002, Computational Fluid Dynamics (CFD) has been one of the main tools scientists used to investigate AT of respiratory viruses. Now, CFD simulations produce intuitive and physically plausible colour-coded results that help scientists understand SARS-CoV-2 airborne transmission patterns. In addition to validation requirements, for any CFD model to be of epistemic value to the scientific community; it must be reproducible. In 2020, more than 45 published studies investigated SARS-CoV-2 airborne transmission in different scenarios using CFD. Here, I systematically review the published CFD studies of COVID-19 and discuss their reproducibility criteria with respect to the CFD modeling process. Using a Weighted Scoring Model (WSM), I propose a novel reproducibility index for CFD simulations of SARS-CoV-2 AT. The proposed index $(0 \leq R^{CFD}_j \leq 1)$ relies on three reproducibility criteria comprising 10 elements that represent the possibility of a CFD study (j) to be reproduced. Frustratingly, only 3 of 23 studies (13%) achieved full reproducibility index $(R^{CFD}_j\geq 0.9)$ while the remaining 87% were found generally irreproducible $(R^{CFD}_j<0.9)$. Without reproducible models, the scientific benefit of CFD simulations will remain hindered, fragmented and limited. In conclusion, I call the scientific community to apply more rigorous measures on reporting and publishing CFD simulations in COVID-19 research.

physics.flu-dyn↗

Physiologic Blood Flow is Turbulent: Revisiting the Principles of Vascular Hemodynamics

Contemporary paradigm of vascular hemodynamics considers normal blood flow to be pulsatile laminar flow. Transition to turbulence can cause diseases such as atherosclerosis or brain aneurysms. Recently, we demonstrated the existence of turbulence in experimental models of brain aneurysm; in the aneurysm sac as well as in the main artery. Thus, we were intrigued to explore if such a long-standing assumption of the laminarity of blood flow could be challenged. We have used methods and tools from chaos theory, hydrodynamic stability theory and turbulence physics to explore the existence of turbulence in normal vascular blood flow. We used Womersley exact solution of the Navier-Stokes equation with the HaeMed database of physiologic blood flow measurements, to offer reproducible evidence for our findings, as well as evidence from Doppler ultrasound measurements from healthy volunteers. The tools we used to investigate the properties of blood turbulence are well established in the fields of chaos theory, hydrodynamic stability and turbulence dynamics. We show, evidently, that blood flow is inherently chaotic and turbulent and not laminar. We propose a paradigm shift in the theory of vascular hemodynamics which requires rethinking the hemodynamic-biologic links governing physiologic and pathologic processes.

physics.flu-dyn↗

Non-Kolmogorov Turbulence and Inverse Energy Cascade in Intracranial Aneurysm: Near-Wall Scales Suggest Mechanobiological Relevance

The genesis, growth and rupture of intracranial aneurysm (IA) are open questions in neurovascular medicine until the present moment. The complexity of aneurysm mechanobiology and pathobiology staggeringly combine intertwining biological and physical processes that are tightly connected. Recently, transition to turbulence in IA blood flow is thought to play a central role in IA growth and rupture as it can be directly linked to endothelial dysfunction. However, the problem of turbulence brings unprecedented complications to the topic. We found turbulence in IA to be of non-Kolmogorov type. For the first time, we detected inverse kinetic energy cascade in blood flow and in non-Kolmogorov turbulence. Here, we hypothesize that the near-wall turbulence undergoing inverse energy cascade have scales that could affect the mechano-signaling of endothelial cells. Our findings could be a paradigm shift in the contemporary theory of aneurysm hemodynamics.

physics.med-ph↗