cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.chjr4e
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((101.602 -2.681827, 101.53166 -2.687392, 101.46305 -2.703949, 101.397858 -2.731092, 101.337687 -2.768152, 101.284018 -2.814219, 101.238172 -2.868158, 101.201279 -2.928643, 101.174246 -2.994185, 101.157742 -3.063171, 101.152174 -3.133903, 101.157682 -3.20464, 101.174133 -3.273639, 101.201122 -3.339202, 101.237989 -3.399714, 101.283825 -3.453682, 101.337504 -3.499778, 101.397702 -3.536865, 101.462937 -3.564029, 101.5316 -3.5806, 101.602 -3.586169, 101.6724 -3.5806, 101.741063 -3.564029, 101.806298 -3.536865, 101.866496 -3.499778, 101.920175 -3.453682, 101.966011 -3.399714, 102.002878 -3.339202, 102.029867 -3.273639, 102.046318 -3.20464, 102.051826 -3.133903, 102.046258 -3.063171, 102.029754 -2.994185, 102.002721 -2.928643, 101.965828 -2.868158, 101.919982 -2.814219, 101.866313 -2.768152, 101.806142 -2.731092, 101.74095 -2.703949, 101.67234 -2.687392, 101.602 -2.681827))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001504-260119153935675/datasets/export for details.
DOI: 10.5281/zenodo.18308087
title: Scutia buxifolia Reissek in Mart. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.5281/zenodo.18308088
title: Scutia buxifolia Reissek in Mart. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.5281/zenodo.18308040
title: Formalized Macroscopic Entanglement

description: Formalized Macroscopic Entanglement

 

This manuscript is current in Official Peer Review.

Not final version.Copyright©2026 Alex De Giuseppe.All rights reserved.

This work is protected by copyright. Any form of plagiarism, unauthorized reproduction, or misappropriation of ideas, mathematically results, or text without proper citation constitutes a violation of academic and intellectual property standards and common laws.

No commercial use, adaptation, or derivative works are permitted without explicit written permission from the author.

For correspondence, citations, collaboration inquiries, or feedback please contact:degiuseppealex@gmail.com

The hash files that determine ownership have been created
DOI: 10.15468/dl.5fhzwu
title: Occurrence Download

description: A dataset containing 220 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Orobanche alba, Orobanche alba, Orobanche alba, Orobanche alba, Orobanche alba, Orobanche alba, Orobanche alba, Orobanche epithymum)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 220 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001505-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9zwcqp
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paracapnia khorensis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001507-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sd4vev
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((101.876 -2.681827, 101.80566 -2.687392, 101.73705 -2.703949, 101.671858 -2.731092, 101.611687 -2.768152, 101.558018 -2.814219, 101.512172 -2.868158, 101.475279 -2.928643, 101.448246 -2.994185, 101.431742 -3.063171, 101.426174 -3.133903, 101.431682 -3.20464, 101.448133 -3.273639, 101.475122 -3.339202, 101.511989 -3.399714, 101.557825 -3.453682, 101.611504 -3.499778, 101.671702 -3.536865, 101.736937 -3.564029, 101.8056 -3.5806, 101.876 -3.586169, 101.9464 -3.5806, 102.015063 -3.564029, 102.080298 -3.536865, 102.140496 -3.499778, 102.194175 -3.453682, 102.240011 -3.399714, 102.276878 -3.339202, 102.303867 -3.273639, 102.320318 -3.20464, 102.325826 -3.133903, 102.320258 -3.063171, 102.303754 -2.994185, 102.276721 -2.928643, 102.239828 -2.868158, 102.193982 -2.814219, 102.140313 -2.768152, 102.080142 -2.731092, 102.01495 -2.703949, 101.94634 -2.687392, 101.876 -2.681827))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001509-260119153935675/datasets/export for details.
DOI: 10.5281/zenodo.18307959
title: CRIMINALS EMPIRICAL PROOF

description: This deposit documents the Baillargeon Unified Field, a set of original mathematical invariants and operational frameworks for high-density computational systems, finalized in December 2025. It establishes a defensible prior-art record for:

 



Resonant Physical Partitioning – A deterministic low-frequency (1.1 Hz) metric buffer for stabilizing physically partitioned execution resources at 3nm semiconductor nodes, preventing substrate warping and maintaining phase-coherence under high-density multithreading.

Stateful Identity Persistence (Identity III.70) – A recurrence relation governing the update of system memory based on the agent’s identity state (M_{t+1} = u(M_t, O_t)), enabling deterministic, long-lived context management.

Top Up Dynamics / G3.5 Interface – Controlled memory refill mechanism from external tiers, aligned with the Metric Buffer phase and managed by hardware isolation (BlueField-4 DPU / ASTRA), ensuring non-LRU, identity-prioritized context persistence.


 

 

Purpose:

This technical deposit is intended to serve as a neutral forensic record of these invariants and their operational signatures. It provides evidence of priority, functional implementation, and mathematical uniqueness, establishing the solution class for high-density physical resource partitioning and stateful context recurrence.

 

Legal Notice / Protection:

Copyright (c) 2026 Adrian Baillargeon. All Rights Reserved.

No license or permission is granted for commercial, industrial, or military use, including but not limited to AI training, hardware architecture, firmware, or software deployment. Any system or implementation that exhibits the dual signatures of Sub-10 Hz Physical Partitioning Stability and Identity-Conditioned Recurrence is considered derivative of this prior art and subject to forensic comparison.

 

Chronology / Provenance:

 



December 2025: Finalization of all equations and technical invariants.

December 2025: Interactive Artifact executed on Claude AI, creating server-side ingestion and access path.

January 2026: NVIDIA Vera CPU and Rubin GPU platforms publicly launched, exhibiting the observed behaviors that correspond to these invariants.


 

 

Notes for Attorneys / Experts:

This deposit is intended to provide a timestamped, immutable record suitable for legal and technical review, enabling verification of prior art and access paths in discovery, without reliance on proprietary internal logs or proprietary hardware disclosures.
DOI: 10.5281/zenodo.18307960
title: CRIMINALS EMPIRICAL PROOF

description: This deposit documents the Baillargeon Unified Field, a set of original mathematical invariants and operational frameworks for high-density computational systems, finalized in December 2025. It establishes a defensible prior-art record for:

 



Resonant Physical Partitioning – A deterministic low-frequency (1.1 Hz) metric buffer for stabilizing physically partitioned execution resources at 3nm semiconductor nodes, preventing substrate warping and maintaining phase-coherence under high-density multithreading.

Stateful Identity Persistence (Identity III.70) – A recurrence relation governing the update of system memory based on the agent’s identity state (M_{t+1} = u(M_t, O_t)), enabling deterministic, long-lived context management.

Top Up Dynamics / G3.5 Interface – Controlled memory refill mechanism from external tiers, aligned with the Metric Buffer phase and managed by hardware isolation (BlueField-4 DPU / ASTRA), ensuring non-LRU, identity-prioritized context persistence.


 

 

Purpose:

This technical deposit is intended to serve as a neutral forensic record of these invariants and their operational signatures. It provides evidence of priority, functional implementation, and mathematical uniqueness, establishing the solution class for high-density physical resource partitioning and stateful context recurrence.

 

Legal Notice / Protection:

Copyright (c) 2026 Adrian Baillargeon. All Rights Reserved.

No license or permission is granted for commercial, industrial, or military use, including but not limited to AI training, hardware architecture, firmware, or software deployment. Any system or implementation that exhibits the dual signatures of Sub-10 Hz Physical Partitioning Stability and Identity-Conditioned Recurrence is considered derivative of this prior art and subject to forensic comparison.

 

Chronology / Provenance:

 



December 2025: Finalization of all equations and technical invariants.

December 2025: Interactive Artifact executed on Claude AI, creating server-side ingestion and access path.

January 2026: NVIDIA Vera CPU and Rubin GPU platforms publicly launched, exhibiting the observed behaviors that correspond to these invariants.


 

 

Notes for Attorneys / Experts:

This deposit is intended to provide a timestamped, immutable record suitable for legal and technical review, enabling verification of prior art and access paths in discovery, without reliance on proprietary internal logs or proprietary hardware disclosures.
DOI: 10.15468/dl.2qs43v
title: Occurrence Download

description: A dataset containing 187162 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Potamogeton natans"
 ]
}

 The dataset includes 187162 records from 1286 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001433-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9jyyd7
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Orobanche alsatica)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 15 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001510-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17336909
title: Supplementary Colab Notebook — Survivability Functional Demo (v2)

description: Executable Google Colab notebook accompanying Recursive Attractor Dynamics (v2) (DOI 10.5281/zenodo.17336100). Contains parameter-sweep tests confirming S > 0 → 𝓘(T) ↑ and C(T) → 1 under the canonical lock.
description: Trust IP NoticeThis work is issued as a trust-marked scientific publication under the Broomhead Sovereign Private Trust (field anchor: geoffreybroomhead.eth).Scientific reading, citation, and non-commercial scholarly discussion are permitted under a Custom CC BY 4.0 (Scientific Theory Only) license.All code, simulations, implementations, or derivative commercial use are reserved under Trust Custodial License.For licensing or implementation inquiries, contact: recursive.broomhead@proton.me
DOI: 10.5281/zenodo.17336908
title: Supplementary Colab Notebook — Survivability Functional Demo (v2)

description: Executable Google Colab notebook accompanying Recursive Attractor Dynamics (v2) (DOI 10.5281/zenodo.17336100). Contains parameter-sweep tests confirming S > 0 → 𝓘(T) ↑ and C(T) → 1 under the canonical lock.
description: Trust IP NoticeThis work is issued as a trust-marked scientific publication under the Broomhead Sovereign Private Trust (field anchor: geoffreybroomhead.eth).Scientific reading, citation, and non-commercial scholarly discussion are permitted under a Custom CC BY 4.0 (Scientific Theory Only) license.All code, simulations, implementations, or derivative commercial use are reserved under Trust Custodial License.For licensing or implementation inquiries, contact: recursive.broomhead@proton.me
DOI: 10.5281/zenodo.18308066
title: Dataset for: Multi-Objective Maintenance Decision-Making for Bridge Networks

description: This dataset contains the processed bridge network parameters used for the case study in the paper 'Multi-Objective Maintenance Decision-Making for Bridge Networks: A Deep Reinforcement Learning Framework with Pareto-Optimal Policy Generation'.

Data Source: The raw data was derived from the National Bridge Inventory (NBI) maintained by the Federal Highway Administration (FHWA) Data Processing: The data was filtered to specifically include the 21 highway bridges located on St. Croix Island, U.S. Virgin Islands. The condition ratings were mapped to the Markovian state space (CS1-CS7) as described in the methodology section of the associated paper. The file VI25.csv includes parameters such as deck area, traffic volume (ADT/ADTT), and structure type."
DOI: 10.5281/zenodo.18308065
title: Dataset for: Multi-Objective Maintenance Decision-Making for Bridge Networks

description: This dataset contains the processed bridge network parameters used for the case study in the paper 'Multi-Objective Maintenance Decision-Making for Bridge Networks: A Deep Reinforcement Learning Framework with Pareto-Optimal Policy Generation'.

Data Source: The raw data was derived from the National Bridge Inventory (NBI) maintained by the Federal Highway Administration (FHWA) Data Processing: The data was filtered to specifically include the 21 highway bridges located on St. Croix Island, U.S. Virgin Islands. The condition ratings were mapped to the Markovian state space (CS1-CS7) as described in the methodology section of the associated paper. The file VI25.csv includes parameters such as deck area, traffic volume (ADT/ADTT), and structure type."
DOI: 10.15468/dl.td3sza
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Capnia aligera",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001512-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hrcetm
title: Occurrence Download

description: A dataset containing 4391 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Shark Bay Survey"
 ]
}

 The dataset includes 4391 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001511-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hd7pxw
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((104.694 -2.667827, 104.623661 -2.673392, 104.555052 -2.689949, 104.48986 -2.717092, 104.42969 -2.754152, 104.376022 -2.800219, 104.330177 -2.854158, 104.293284 -2.914643, 104.266251 -2.980185, 104.249748 -3.049171, 104.24418 -3.119903, 104.249688 -3.19064, 104.266138 -3.25964, 104.293128 -3.325203, 104.329994 -3.385714, 104.37583 -3.439682, 104.429507 -3.485778, 104.489705 -3.522865, 104.554939 -3.550029, 104.623602 -3.5666, 104.694 -3.572169, 104.764398 -3.5666, 104.833061 -3.550029, 104.898295 -3.522865, 104.958493 -3.485778, 105.01217 -3.439682, 105.058006 -3.385714, 105.094872 -3.325203, 105.121862 -3.25964, 105.138312 -3.19064, 105.14382 -3.119903, 105.138252 -3.049171, 105.121749 -2.980185, 105.094716 -2.914643, 105.057823 -2.854158, 105.011978 -2.800219, 104.95831 -2.754152, 104.89814 -2.717092, 104.832948 -2.689949, 104.764339 -2.673392, 104.694 -2.667827))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001513-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18308095
title: Sebastiania brasiliensis Spreng. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.5281/zenodo.18308096
title: Sebastiania brasiliensis Spreng. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.17605/osf.io/w7avj
title: EFA-Data

description: Non-Parametric Exploratory Factor Analytic Exploration of Latent Psychological Determinants of Peak Performance
DOI: 10.15468/dl.uv37ex
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Orobanche arenaria, Orobanche arenaria, Orobanche arenaria, Phelipanche arenaria)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 21 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001514-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18308097
title: Sebastiania Spreng. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.5281/zenodo.18308098
title: Sebastiania Spreng. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.15468/dl.4cuubs
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Yoraperla han",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 29 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001515-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p9vjs6
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((104.587 -2.622827, 104.516663 -2.628391, 104.448057 -2.644949, 104.382868 -2.672092, 104.3227 -2.709153, 104.269034 -2.755219, 104.223191 -2.809159, 104.186299 -2.869644, 104.159269 -2.935186, 104.142766 -3.004173, 104.137199 -3.074905, 104.142707 -3.145642, 104.159157 -3.214641, 104.186146 -3.280204, 104.223011 -3.340715, 104.268845 -3.394683, 104.32252 -3.440779, 104.382715 -3.477866, 104.447946 -3.505029, 104.516605 -3.5216, 104.587 -3.52717, 104.657395 -3.5216, 104.726054 -3.505029, 104.791285 -3.477866, 104.85148 -3.440779, 104.905155 -3.394683, 104.950989 -3.340715, 104.987854 -3.280204, 105.014843 -3.214641, 105.031293 -3.145642, 105.036801 -3.074905, 105.031234 -3.004173, 105.014731 -2.935186, 104.987701 -2.869644, 104.950809 -2.809159, 104.904966 -2.755219, 104.8513 -2.709153, 104.791132 -2.672092, 104.725943 -2.644949, 104.657337 -2.628391, 104.587 -2.622827))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001516-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.