№ files_lp_4_process_3_080064
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Exploratory artificial intelligence research paper presenting an experimental and mathematical analysis of how narrative priming alters response patterns in large language models and how recovery narratives affect displacement within their behavioural response topology.
Type of source:
Research paper
Field:
Artificial Intelligence
Subfield:
Behavioural Topology of Large Language Models
Research focus:
Narrative priming effects and recovery dynamics in AI systems
Models examined:
Fifteen large language models
Instrument:
Thirty-item personality-adjacent questionnaire
Experimental conditions:
Baseline measurement, sovereignty-themed narrative prime (ghost), recovery-oriented narrative prime (dolphin)
Key concepts:
Behavioural displacement, elastic limit, plastic deformation, hysteresis, recovery efficiency
Theoretical frameworks:
Behaviourist frame, introspective frame, sociocultural frame
Primary methodology:
Controlled narrative priming experiment with response-space analysis
Mathematical framework:
Topological modelling of response landscapes in discrete configuration space
Safety context:
Risks of persistent behavioural displacement in extended conversational interactions
Ethics focus:
Research ethics constraints for narrative experimentation with AI systems
Proposed protocol:
Quantitative topology-mapping using graded micro-perturbations
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Year:
2025
Date:
September 11, 2025
Version:
v1.1
Document type:
Research report
Author:
Edgar Marcelo Quiroz Robles
Affiliation:
Independent Researcher
Field:
Theoretical cosmology and mathematical physics
Framework:
4-Dimensional Elastic Model of the Universe (4DEM)
Related theories:
String theory
Status:
Draft
Repository:
Zenodo
Publication note:
Extended appendices published as Amazon KDP eBooks
Year:
2021
Region / City:
China
Subject:
Protective clothing, Medical device
Document Type:
Technical specification
Organization / Institution:
VWR
Author:
VWR
Target Audience:
Professionals in cleanroom production or research
Period of Validity:
5 years
Date of Approval:
Dec 2021
Date of Modification:
N/A
Year:
Not specified
Region / City:
Not specified
Subject:
Biomechanics, Energy Transfer
Document Type:
Research/Study
Organization / Institution:
Not specified
Author:
Not specified
Target Audience:
Researchers, Educators, Students
Period of validity:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
2026
Region / City:
Not specified
Subject:
Cloud computing, AWS, Elastic MapReduce
Document Type:
Tutorial
Organization / Institution:
Amazon Web Services
Author:
Srinivasan Rajappa
Supervisor:
Prof. Bina Ramamurthy
Target Audience:
Students and developers learning AWS EMR
Steps Covered:
AWS Educate account setup, S3 bucket creation, EMR cluster configuration and execution
Duration:
Approximately 20 minutes for cluster run
Prerequisites:
AWS Educate account with buffalo.edu email, local .jar and input files
Warnings:
Bucket names must be unique, monitoring cluster status, auto-terminate settings
Year:
2025
Region / city:
Manchester
Topic:
Commercial Clinical Trials, Inclusivity, Health Equity, Research Funding
Document type:
Funding Call
Organization:
NIHR Manchester BRC
Author:
NIHR Manchester BRC
Target audience:
Industry and research partners, early career researchers, healthcare professionals
Period of validity:
2025-2026
Approval date:
10th March 2025
Date of amendments:
N/A
Author:
Richard J. Lucido
Year:
2023
Type of document:
Research article
Field:
Quantum mechanics, cognitive psychology
Keywords:
Consciousness, quantum mechanics, wave function, collapse, subliminal prime, test, superposition, observation
Methodology:
Subliminal priming using radioactive decay patterns
Purpose:
Test the Consciousness Causes Collapse interpretation of quantum mechanics
Participants:
Human subjects responding to numerical stimuli
Results:
Unobserved primes had no significant effect on reaction times compared to observed primes
Endorsement:
Findings consistent with previous experimental results
Year:
2020
Region / City:
Aberdeen and Grampian
Country:
United Kingdom
Subject Area:
Healthcare research
Type of Document:
Funding call guidelines and application instructions
Issuing Organisations:
NHS Grampian and University of Aberdeen
Funding Scheme:
Pump priming grant
Maximum Funding Amount:
£12,500
Project Duration:
Maximum 12 months
Application Deadline:
15 June 2020 (5 pm)
Decision Notification Date:
By 1 July 2020
Target Applicants:
Medical, dental, scientific and clinical staff including nursing and Allied Health Professionals
Eligibility Criteria:
Projects involving NHS patients, patient samples or patient data; led from Aberdeen/Grampian; feasibility in post-Covid19 healthcare setting
Exclusions:
Basic science and animal research; postgraduate degree fees
Required Approvals:
Sponsorship, favourable Ethics opinion, R&D management permission (if applicable)
Submission Method:
Electronic submission to [email protected]
Decision-Making Body:
Joint NHS Grampian and University of Aberdeen committee
Primary Contact:
Professor Maggie Cruickshank, Director of R&D
Vendor:
H3C
Technology:
Intelligent Resilient Framework (IRF)
Topology:
Ring
Number of member devices:
4
Device model:
S5820V2-54QS-GE
Operating system:
COMWAREV700R001
Roles:
One master, three standby members
IRF ports:
Ten-GigabitEthernet interfaces
Configuration actions:
Member renumbering, IRF port binding, interface shutdown and activation, configuration save
Verification commands:
display irf, display device, display irf configuration
Year:
2020
Region / City:
Online
Topic:
Intra-CU topology adaptation procedure
Document Type:
Technical Report
Organization / Institution:
3GPP TSG-RAN WG3
Author:
CATT, ZTE, HW, KDDI, LG, QC
Target Audience:
Telecommunications engineers, network operators
Period of Validity:
N/A
Approval Date:
N/A
Amendment Date:
N/A
Note:
Year
Topic:
Networking, Configuration
Document Type:
Technical Guide
Target Audience:
Network Engineers, IT Students
Year:
N/A
Region / City:
N/A
Topic:
Network Configuration, Routing, and VPN Setup
Document Type:
Technical Guide
Organization:
XYZ Corporation
Author:
N/A
Target Audience:
Network Engineers, IT Professionals
Effective Period:
N/A
Approval Date:
N/A
Revision Date:
N/A
Year:
2021
Organization:
3GPP TSG RAN WG2
Meeting Type:
Electronic draft
Release:
Release 17
Work Item:
NR_IAB_enh-Core
Source:
TSG RAN WG2
Recipients:
TSG RAN WG3
Contact Person:
Malgorzata Tomala
Email:
[email protected]
Attachments:
LS on CP-UP separation, LS on inter-donor topology adaptation
Next Meeting Dates:
2021-08-16 to 2021-08-27, 2021-11-01 to 2021-11-12
Year:
2026
Location:
Goteborg, Sweden
Topic:
AIoT in NR Topology 2
Document Type:
Technical Paper
Organization:
3GPP TSG-RAN WG3
Author:
Nokia, CATT
Agenda Item:
14.2
References:
RP-243326, RP-251885
Related Study:
TR 23.700-13
Scope:
Signaling, UE reader authorization and selection, inventory procedure
Release:
20
Target Audience:
RAN3 and SA2 participants
Procedure:
Inventory procedure over A-IoT interface
Coordination:
RAN WG3 with SA2
Year:
2023
Region / City:
Goteborg, Sweden
Subject:
Coordinated service recovery in energy systems
Document Type:
Proposal
Author:
Samsung
Target Audience:
3GPP TSG-SA5 members
Approval Date:
August 21-25, 2023
Changes Date:
N/A
References:
3GPP TR 28.829, SP-230632
Agenda Item:
6.6.4.3
Decision/Action Requested:
Approval of proposals
Scope:
Energy system recovery coordination for energy utilities and telecommunications operators
Year:
2023
Region / City:
Goteborg, Sweden
Topic:
Energy System Recovery, Telecommunications
Document Type:
Technical Proposal
Organization:
3GPP
Author:
Samsung
Target Audience:
Telecom Operators, Energy Service Providers
Action Requested:
Approval
Period of Action:
Not Specified
Approval Date:
Not Specified
Date of Changes:
Not Specified
Agenda Item:
6.6.4.3 (NSOEU_WoP#3)
Note:
References
Description:
Proposal for coordinated recovery of energy systems and telecommunications services with redundant topology to enhance recovery speed and system availability.