Integrated Bayesian Predictive Maintenance (IBPdM) is a reproducible research software implementation for Bayesian MTBF inference, MTTR simulation and inference, preventive-maintenance optimization de…
Integrated Bayesian Predictive Maintenance (IBPdM) is a reproducible research software implementation for Bayesian MTBF inference, MTTR simulation and inference, preventive-maintenance optimization decision managament, and machine learning model validation governance for airport terminal electronic equipment.
The ability to discriminate a colour, retain the classification, and describe it does not establish interiority. The gap between these operations and consciousness is often filled by positing an inner…
The ability to discriminate a colour, retain the classification, and describe it does not establish interiority. The gap between these operations and consciousness is often filled by positing an inner quality in perception. A different hypothesis relocates the threshold: interiority takes shape when an occurrence recognised as a symbol enters a material history that can bear upon the present and alter the system’s future operations. Colour distinguishes spectral detection from symbolic recognition and raises a further question: what changes when memory, valence, projection, and the revision of criteria become functionally coupled? Consciousness requires another threshold, reached when the organisation operates reflexively on the relations governing its own activity. The existence and degree of that regime answer different questions. C takes the value 0 or 1 according to whether the threshold is crossed; C = U records only insufficient evidence; once C = 1, consciousness admits gradation, designated by D. The account preserves phenomenological data without treating them as immediate evidence of a private quality. The hard problem is thereby recast as the constitution of a temporally and symbolically reflexive regime, whose explanation depends on the coupling of functions that analysis usually isolates.
APPENDIX 1 in Mandibular evidence for the presence of extant Colobini in the African fossil record
July, 2026 • Dataset • Geodiversitas
Pallas, Laurent
APPENDIX 1. — List of the extant and fossil specimens used in this study.Genus/Acc. n°Genus/Acc. n°Genus/Acc. n°Genus/Acc. n°Dental analysisDental analysis,Corpus depth analysisC…
MCSwell Dataset (thermodynamic Characterization of Binding Site Hydration)
July, 2026 • Dataset
Forli, Stefano, Bruciaferri, Niccolo, Llanos, Manuel Augusto
Dataset accompaininig the manuscript "MCSwell: Thermodynamic Characterization of Binding Site Hydration"
Water placement set: predicted waters positions using conventional MD, WaterKit and MCSwell
The…
Dataset accompaininig the manuscript "MCSwell: Thermodynamic Characterization of Binding Site Hydration"
Water placement set: predicted waters positions using conventional MD, WaterKit and MCSwell
Thermodynamic profiling: thermodynamic properties calculated with MCSwell for a subset of the waters characterized with replica exchange thermodynamics integration (RETI) by Barillari et al..
Chin, Su-Min, Kim, Min-Woo, Jeon, Yu-Jin, Park, Yea-Jin, Choi, Chi-Wonet al.
Initial versioned release of the analysis code supporting the study 'Contextualizing CNN attribution maps using predefined image-derived descriptors in medicinal plant seed classification'.
This relea…
Initial versioned release of the analysis code supporting the study 'Contextualizing CNN attribution maps using predefined image-derived descriptors in medicinal plant seed classification'.
This release includes:
preprocessing and manual-orientation correction workflows;
model training and independent-test evaluation code;
Integrated Gradients and Grad-CAM analysis code;
image-derived descriptor generation and association analysis;
descriptor-summary classification and manuscript table/figure generation;
reproducibility environment specifications, documentation, and automated repository validation.
The code is released under the MIT License. The companion image dataset is a separate research output and is not included in this software release.
Supporting Data for "GCMs May Underestimate Arctic Cloudiness Response to Sea Ice Loss: Evidence from a Process-Based Emergent Constraint"
July, 2026 • Software
Costello, Ronin, Zheng, Youtong
This dataset has been prepared to support the manuscript entitled "GCMs May Underestimate Arctic Cloudiness Response to Sea Ice Loss: Evidence from a Process-Based Emergent Constraint" by Costello et …
This dataset has been prepared to support the manuscript entitled "GCMs May Underestimate Arctic Cloudiness Response to Sea Ice Loss: Evidence from a Process-Based Emergent Constraint" by Costello et al., currently under review for Geophysical Research Letters. This repository contains all post-processed climate model output, observational/reanalysis datasets, and diagnostic Python scripts required to reproduce the analyses and figures presented in the paper.
There is an increasing interest in upgrading the EModel, a parametric tool for speech quality estimation, to the wideband and super-wideband contexts. The
Contemporary models of Unmanned Aerial Vehicles (UAVs) are largely developed using simulators. In a typical scheme, a flight simulator is dovetailed with a
Undertaking engineering research can be compounding for beginning graduate students and thwarting even for seasoned researchers. With a wealth of academic
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