Recent papers on Validation Across Conditions

Sorted by publication year (newest first) via OpenAlex. List regenerates every 24h.

1. Representation changes across varying clinical input conditions: A dual-metric validation study of eight transformer architectures with length controls

   2026 · Research Square · Mikkelsen, Yngve

   2026

2. Markerless Hallway Gait Analysis using Rule‑Based Gait Event Detection Across Clothing Conditions: Validation Study (Preprint)

   2026 · Khalilian, Niousha, Baddour, Natalie, Burger, Helena et al.

   2026

3. An Integrated Framework for Validating ECOSTRESS LST across Diverse Surface and Atmospheric Conditions: Fusing Radiance- and Temperature-Based Approaches to Overcome In-Situ Data Scarcity

   2026 · Qi, Yuting, Zhong, Lei, Ma, Yaoming

   2026

4. Robust model-fitted kinetics of the thermal decomposition of nitroguanidine: Comprehensive validation across diverse conditions

   2026 · Journal of Loss Prevention in the Process Industries · Sarli, Valeria Di, Sanchirico, Roberto

   2026

5. Ψ-Retention Cosmology (Λψ): A Unified Resolution of the S₈ and H₀ Tensions Through Structural Inertia of the Cosmic Web Yulia Logacheva, MD ψ-Architecture Research Programme (Independent) 2026 Abstract Recent analyses of the Euclid Madrid DR1, DESI Y3, and Planck legacy data reveal a persistent late-time smoothing of the cosmic web that cannot be accounted for within ΛCDM. We develop Λψ, a minimal extension characterized by a retentive field Ψ that introduces structural inertia—a non-Markovian correction to matter clustering. Λψ simultaneously: suppresses the non-linear matter power spectrum by 5–10% at z < 1.5, reduces the sound horizon to rₙ ≈ 142 Mpc, raises the joint Euclid+Planck Hubble constant to H₀ ≈ 70.2 ± 0.8 km/s/Mpc, and improves model evidence by ln B ≈ 5.8. We present the retentive Lagrangian, the modified growth equation, and the three-parameter Ψ-Kernel compatible with CLASS and CAMB. Λψ emerges as a unified, observationally consistent framework for resolving both S₈ and H₀ tensions. 1. Introduction Two persistent discrepancies define contemporary cosmology: the S₈ tension (late-time structure appears too smooth), the H₀ tension (local expansion appears too fast). Traditional extensions—massive neutrinos, Early Dark Energy, scalar–tensor gravity—resolve one tension while worsening the other. The Ψ-Retention Cosmology proposes a different mechanism: Late-time cosmic structure retains information. This "structural inertia" acts as a physical field. This retention moderates clustering (solving S₈) while simultaneously compressing the early sound horizon (solving H₀). The unified nature of Λψ is what distinguishes it from all prior proposals. 2. Retentive Lagrangian for Λψ We introduce a single retentive degree of freedom Δψ coupled to a structural node Ξ: \mathcal{L}_{\Psi} = \frac12(\partial_t\Delta\psi)^2 - V(\Delta\psi,\Xi) + \Lambda(\Xi)\,\nabla\Delta\psi, with the retention potential: V(\Delta\psi,\Xi)=\alpha\,(\Delta\psi)^2 - \beta\,\Xi\,\Delta\psi + \gamma\,\Xi^2 . This Lagrangian injects non-dissipative inertia into structure formation: the field Ψ slows down the collapse of matter at late times without modifying radiation-era physics. 3. Modified Growth Equation and Structural Inertia The evolution of matter perturbations becomes: \ddot{\delta}_m + \left[ 2H(t) + \nu_\psi(t) \right]\dot{\delta}_m - 4\pi G\rho_m\,\delta_m =0 , where νψ(t) is the retention friction. Effects: reduces growth rate f(z), lowers S₈ from ≈0.83 to ≈0.78, matches Euclid weak-lensing convergence at ℓ ≈ 500–2000, introduces non-Markovian correlations between scales. The Ψ-Kernel is integrated in 2026 CLASS-Ψ and CAMB-Retention solvers. 4. Retentive Modification of the Sound Horizon The baryon–photon inertia ratio becomes: R_\psi(z) = R(z) \left( 1 + \xi\,\frac{\rho_\psi(z)}{\rho_b(z)} \right). This reduces the sound speed: c_s(z) = \frac{c}{\sqrt{3(1+R_\psi)}} , compressing the sound horizon: r_d \approx 142\ \text{Mpc}. This compression allows H₀ ≈ 70–71 to remain consistent with: Planck acoustic peaks, DESI BAO distances, Euclid low-z clustering. 5. Statistical Evidence Across 2026 Surveys In Euclid + DESI + Planck combined analysis: χ² reduced from 1.42 → 1.04, S₈ tension suppressed to 0.8σ, H₀ raised to 70.2 ± 0.8, Bayesian evidence improved by ln B ≈ 5.8 (decisive). This demonstrates that Λψ provides a natural, not forced, alignment between early- and late-universe observables. 6. The Three-Parameter Ψ-Kernel The CLASS/CAMB implementation uses: Ωψ — retention density γᵣₑₜ — structural drag coefficient τψ — memory timescale This compact kernel is sufficient to match: lensing maps, galaxy clustering, BAO distances, CMB high-ℓ acoustic peaks. No modification to early-universe physics is required. 7. Implications for Dark Energy Λψ reframes dark energy not as a negative-pressure fluid but as a retentional stabilizing term: Λ is zeroth-order (background expansion), Λψ is first-order (structural retention), the Universe is non-Markovian at late times, information inertia is a real physical field. 8. Future Directions for Validation Λψ should be tested on: Euclid DR2 (2027), DESI Y4 clustering and RSD, ACT + SPT damping-tail data, weak-lensing tomography beyond ℓ ≈ 2000. A public Ψ-Kernel release is recommended as a 2026–2027 milestone. APPENDIX A — Technical Validation Requirements for Λψ (2026) A Cross-Domain Assessment of Structural, Computational, and Observational Consistency This appendix consolidates the essential technical conditions that any next-generation cosmological framework must satisfy in order to be considered for integration into contemporary precision pipelines. Λψ is evaluated against these universal criteria. A1. High-Multipole Acoustic Stability A viable extension of ΛCDM must preserve: the acoustic peak structure at high multipoles (ℓ ≳ 2500), the Silk damping profile, and the numerical stability of the CMB damping tail. Λψ Result: The retentive kernel introduces no distortions a

   2026 · Open MIND · Yulia, Logacheva

   2026

6. Historical changes in snow conditions for skiing across the contiguous United States based on SNODAS-validated CONUS404 reanalysis

   2026 · Environmental Research Communications · Bauer, Hiroto, Hiraga, Yusuke, Kazama, So

   2026

7. Impact of surface roughness on CFD performance prediction of francis turbines: Grid convergence analysis and experimental validation across variable operating conditions

   2026 · International Journal of Thermofluids · Sudsuansee, Thaithat, Phitaksurachai, Suwat, Udomsin, Chakrit et al.

   2026

8. Predicting Vegetation Stress from Antecedent Hydroclimatic Conditions Across Germany: A Machine Learning Approach with Spatially Blocked Validation

   2026 · SSRN Electronic Journal · Yakar, Funda

   2026

9. Dataset of HPLC-HRMS/MS profiles from 146 species (191 samples, 48 families) of wild sporophore-forming fungi (macromycetes/mushrooms). Specimens were collected mostly in Alsace (France) between 2014 and 2025. 80 % of the dataset (153 samples) had species identification confirmed by ITS sequencing (Sanger method). The remaining 20 % were either not sequenced or yielded unsuccessful identifications due to PCR amplification failure; these samples were identified solely based on morphological and ecological characteristics. See the sample metadata for detailed information on collection sites and ITS validation status. EtOAc extracts profiled with HPLC-HRMS/MS on Bruker micrOTOF II. ESI Pos ionization mode. Chromatographic separation was performed on a Kinetex C18 column (Phenomenex), 2.6 microm, 150 x 2.1 mm. Mobile phase: (A) Water and (B) Acetonitrile both supplemented with 0.1% formic acid Gradient: Flow rate fixed at 0.7 mL/min. Initial conditions of 5% B for 0.5 min, followed by a linear gradient from 5% to 100% B over 19 min. Supplementary information includes sample metadata and an IIMN (Ion Identity Molecular Network) constructed from all detected features across aligned samples (blanks subtracted). The MZmine batch file, quantification table, and ion identity edge annotations used to build the molecular network are also provided.

   2026 · Open MIND · Ludivine, Valois, Bellanger, Jean-Michel, Urbain, Aurélie et al.

   2026

10. A Sentiment-Informed Algorithmic Cryptocurrency Trading Strategy Validated Across Diverse Market Conditions

    2026 · IEEE Access · Noguchi, Rentaro, Mahadevu, Ashrita, Aggarwal, Aariv et al.

    2026

11. A. Mouse transcriptome non-negative matrix factorization component weights across all time points and conditions. Larger weight values indicate components with upregulated genes dominating. B. Gene set enrichment plot for selected features from each component in panel A. Components 1, 4, and 5 did not exhibit enrichment in these broad terms. C. Number of genes in enriched gene ontology terms related to immunity, signaling, and transcription for each time point and condition. D. Time course transcriptional profiles for mouse genes characteristic to component 3. E. PARFA-seq validation by quantitative PCR and gene expression changes during immortalized bone marrow-derived macrophage infection by <i>T. gondii</i> assessed by quantitative PCR.

    2025 · Figshare · (22676289), Dominykas Murza, (22676292), Filip Lastovka, (7488866), George Wood et al.

    2025

12. XClinic Sensors: Validating Accuracy in Measuring Range of Motion Across Trauma Conditions

    2025 · Applied Sciences · Ruotolo, Ilaria, Sellitto, Giovanni, Galeoto, Giovanni et al.

    2025

13. a2z-1 for Multi-Disease Detection in Abdomen-Pelvis CT: External Validation and Performance Analysis Across 21 Conditions

    2024 · arXiv (Cornell University) · Rajpurkar, Pranav, Acosta, Julián, Dogra, Siddhant et al.

    2024

14. Genomic prediction and validation strategies for reproductive traits in Holstein cattle across different Chinese regions and climatic conditions

    2024 · Journal of Dairy Science · Shi, Rui, Brito, Luiz F., Li, Shanshan et al.

    2024

15. Measuring internalized health-related stigma across health conditions: development and validation of the I-HEARTS Scale

    2024 · BMC Medicine · Pearl, Rebecca L., Li, Yulin, Groshon, Laurie C. et al.

    2024

16. Validation of ENVI-met microscale model with in-situ measurements in warm thermal conditions across Athens area

    2022 · Global NEST International Conference on Environmental Science & Technology · Pantavou, Katerina, Koletsis, Ioannis, Tseliou, Areti et al.

    2022

17. PCIE IP Validation Process Across Process Corner, Voltage and Temperature Conditions

    2021 · Journal of Physics Conference Series · Karim, Noor Khairiah A., Wahab, Aeizaal Azman A., Alhady, S. S. N. et al.

    2021

18. Adaptive Ankle Exoskeleton Control: Validation Across Diverse Walking Conditions

    2021 · IEEE Transactions on Medical Robotics and Bionics · Bishe, Safoura Sadegh Pour Aji, Nguyen, Thang, Fang, Ying et al.

    2021

19. Validation of Inertial Sensor to Measure Barbell Kinematics across a Spectrum of Loading Conditions

    2020 · Sports · Abbott, John C., Wagle, John P., Sato, Kimitake et al.

    2020

20. Variations in Facebook Posting Patterns Across Validated Patient Health Conditions: A Prospective Cohort Study

    2017 · Journal of Medical Internet Research · Smith, Robert J., Crutchley, Patrick, Schwartz, H. Andrew et al.

    2017

21. DERIVATION AND VALIDATION OF IMPEDANCE TRANSMISSION CONDITIONS FOR THE ELECTRIC POTENTIAL ACROSS A HIGHLY CONDUCTIVE CASING

    2015 · Erdozain, Aralar, Eron, V. P, Barucq, Hélène et al.

    2015

22. The Stigma Scale for Chronic Illnesses 8-Item Version (SSCI-8): Development, Validation and Use Across Neurological Conditions

    2012 · International Journal of Behavioral Medicine · Molina, Yamilé, Choi, Seung W., Cella, David et al.

    2012

23. Validating a Self-Service Technology Adoption Model(STAM) across Operational Conditions and Consumer Characteristics

    2011 · 한국관광학회 학술대회 발표논문집 · Jeong, Miyoung, Oh, Haemoon, SeyhmusBaloglu et al.

    2011

24. Risk factors for the first episode of low back pain in children are infrequently validated across samples and conditions: a systematic review

    2010 · Journal of physiotherapy · Hill, Julia J., Keating, Jennifer L.

    2010

25. 03/01731 Validation of axial pin power distributions in a 10×10 BWR assembly across an enrichment boundary under full-density water moderation conditions

    2003 · Fuel and Energy Abstracts · F., Jatuff,, P., Grimm,, R., van Geemert, et al.

    2003

26. Validation of axial pin power distributions in a 10×10 BWR assembly across an enrichment boundary under full-density water moderation conditions

    2003 · Annals of Nuclear Energy · Jatuff, F., Grimm, P., Geemert, R. van et al.

    2003