cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29341222.v1
title: Supplementary Information from Stabilizing unconditional cooperation

description: The ultimate goal of research on the evolution of cooperation could be conceived as finding a method for stabilizing strategies that always cooperate, that never deviate from cooperation, that never exploit, and never retaliate, because all such activities are inherently problematic. The hope of achieving this cooperative utopia seems unjustified, especially in the context of direct reciprocity, which relies on the principle that cooperative partner strategies succeed in defending themselves by using moderate retaliation. Here, we propose a dynamic that goes a certain way towards achieving the desirable goal. In the ground state, the population consists of individuals that use always-cooperate (ALLC). Occasionally defectors, in the form of always-defect (ALLD), invade the population. Their presence triggers a mutation from ALLC to another strategy, X, with the aim to avert the take-over of defectors. In the absence of X, ALLD dominates ALLC, but in the presence of X, the invasion attempt might fail and subsequently the ALLC ground state can be restored. We study this mutation-selection process in finite and infinite populations. We identify the properties of the ideal rescue strategy. We derive an optimum mutation rate that maximally stabilizes ALLC.
DOI: 10.6084/m9.figshare.29341224
title: General Physics-Informed Neural Network for ASMP_code from Toward a general physics-informed neural network for amorphous shape memory polymer modelling

description: Due to the complex behaviour of amorphous shape memory polymers (SMPs), traditional constitutive models often struggle with material-specific limitations, challenging curve-fitting, history-dependent stress calculations and error accumulation from stepwise calculation for governing equations. In this study, we propose a physics-informed artificial neural network (PIANN) that integrates a conventional neural network with a strain-based phase transition framework to predict the constitutive behaviour of amorphous SMPs. The model is validated using five temperature–stress datasets and four temperature–strain datasets, including experimental data from four types of SMPs and simulation results from a widely accepted model. PIANN predicts four key shape memory behaviours: stress evolution during hot programming, stress recovery following both cold and hot programming and free strain recovery during heating branch. Notably, it predicts recovery strain during heating without using any heating data for training. Comparisons with experimental data show excellent agreement in both programming (cooling) and recovery (heating) branches. Remarkably, the model achieves this performance with as few as two temperature–stress curves in the training set. Overall, PIANN addresses common challenges in SMP modelling by eliminating history dependence, improving curve-fitting accuracy and significantly enhancing computational efficiency. This work represents a substantial step forward in developing generalizable models for SMPs.
DOI: 10.6084/m9.figshare.29341224.v1
title: General Physics-Informed Neural Network for ASMP_code from Toward a general physics-informed neural network for amorphous shape memory polymer modelling

description: Due to the complex behaviour of amorphous shape memory polymers (SMPs), traditional constitutive models often struggle with material-specific limitations, challenging curve-fitting, history-dependent stress calculations and error accumulation from stepwise calculation for governing equations. In this study, we propose a physics-informed artificial neural network (PIANN) that integrates a conventional neural network with a strain-based phase transition framework to predict the constitutive behaviour of amorphous SMPs. The model is validated using five temperature–stress datasets and four temperature–strain datasets, including experimental data from four types of SMPs and simulation results from a widely accepted model. PIANN predicts four key shape memory behaviours: stress evolution during hot programming, stress recovery following both cold and hot programming and free strain recovery during heating branch. Notably, it predicts recovery strain during heating without using any heating data for training. Comparisons with experimental data show excellent agreement in both programming (cooling) and recovery (heating) branches. Remarkably, the model achieves this performance with as few as two temperature–stress curves in the training set. Overall, PIANN addresses common challenges in SMP modelling by eliminating history dependence, improving curve-fitting accuracy and significantly enhancing computational efficiency. This work represents a substantial step forward in developing generalizable models for SMPs.
DOI: 10.6084/m9.figshare.29341228
title: water_wave_modulation_equations.m from Parameter-free higher-order Schrödinger systems with weak dissipation and forcing

description: Generates the coefficients of the HNLS in the water-wave problem in section 5
DOI: 10.6084/m9.figshare.29341228.v1
title: water_wave_modulation_equations.m from Parameter-free higher-order Schrödinger systems with weak dissipation and forcing

description: Generates the coefficients of the HNLS in the water-wave problem in section 5
DOI: 10.6084/m9.figshare.29341231
title: driver.m from Parameter-free higher-order Schrödinger systems with weak dissipation and forcing

description: Driver MATLAB code to generate the coefficients of the modified HNLS
DOI: 10.6084/m9.figshare.29341231.v1
title: driver.m from Parameter-free higher-order Schrödinger systems with weak dissipation and forcing

description: Driver MATLAB code to generate the coefficients of the modified HNLS
DOI: 10.6084/m9.figshare.29341234
title: toy_example_modulation_equations.m from Parameter-free higher-order Schrödinger systems with weak dissipation and forcing

description: Generates the coefficients of the HNLS in the toy example in section 4
DOI: 10.6084/m9.figshare.29341234.v1
title: toy_example_modulation_equations.m from Parameter-free higher-order Schrödinger systems with weak dissipation and forcing

description: Generates the coefficients of the HNLS in the toy example in section 4
DOI: 10.6084/m9.figshare.29341242
title: Data.zip from Formation and fragmentation of nylon fibre aggregates

description: In the .zip file, there are 14 .txt files. The name of each .txt file corresponds to the figure number in the article. In each .txt file, the columns are referred to as x_data for the horizontal axis, y_data for the vertical axis, and dy_data for the error bars in the vertical direction. When there are multiple curves in a plot, the difference between the plots is indicated in the column names. This structure applies to all files except fig4.txt, which corresponds to the raw data of N and D/L for the aggregates from different experiments.
DOI: 10.6084/m9.figshare.29341242.v1
title: Data.zip from Formation and fragmentation of nylon fibre aggregates

description: In the .zip file, there are 14 .txt files. The name of each .txt file corresponds to the figure number in the article. In each .txt file, the columns are referred to as x_data for the horizontal axis, y_data for the vertical axis, and dy_data for the error bars in the vertical direction. When there are multiple curves in a plot, the difference between the plots is indicated in the column names. This structure applies to all files except fig4.txt, which corresponds to the raw data of N and D/L for the aggregates from different experiments.
DOI: 10.6084/m9.figshare.29341245
title: Code and data from An emergent optimal resource allocation for climate resilience of transport infrastructure networks

description: Compressed folder with code and data for reproducibitily
DOI: 10.6084/m9.figshare.29341245.v1
title: Code and data from An emergent optimal resource allocation for climate resilience of transport infrastructure networks

description: Compressed folder with code and data for reproducibitily
DOI: 10.6084/m9.figshare.25505107
title: <b>CAD Files Heater Cooler Regulatory Science Tool</b>

description: These files are CAD files associated with the Heater Cooler RST from CDRH/OSEL which can be found here - Protocols for Characterizing Aerosol Emission from Heater Cooler Devices | Center for Devices and Radiological Health (fda.gov)It contains the following -A ZIP file of all of the Solidworks CAD FilesA Folder of STL file for all of the individual parts (The aerator part has one with and without a bubbler)A PDF of the CAD Drawings for the individual partsTool ReferenceRST Reference Number: RST24CV04.01Date of Publication: 09/24/2023Recommended Citation: U.S. Food and Drug Administration. (2023). <i>Protocols for Characterizing Aerosol Emission from Heater Cooler Devices</i> (RST24CV04.01). https://cdrh-rst.fda.gov/protocols-characterizing-aerosol-emission-heater-cooler-devices<b>Disclaimer</b>About the Catalog of Regulatory Science ToolsThe enclosed tool is part of the Catalog of Regulatory Science Tools, which provides a peer-reviewed resource for stakeholders to use where standards and qualified Medical Device Development Tools (MDDTs) do not yet exist. These tools do not replace FDA-recognized standards or MDDTs. This catalog collates a variety of regulatory science tools that the FDA's Center for Devices and Radiological Health's (CDRH) Office of Science and Engineering Labs (OSEL) developed. These tools use the most innovative science to support medical device development and patient access to safe and effective medical devices. If you are considering using a tool from this catalog in your marketing submissions, note that these tools have not been qualified as Medical Device Development Tools and the FDA has not evaluated the suitability of these tools within any specific context of use. You may request feedback or meetings for medical device submissions as part of the Q-Submission Program.For more information about the Catalog of Regulatory Science Tools, email RST_CDRH@fda.hhs.gov.<br>
DOI: 10.6084/m9.figshare.25505107.v1
title: <b>CAD Files Heater Cooler Regulatory Science Tool</b>

description: These files are CAD files associated with the Heater Cooler RST from CDRH/OSEL which can be found here - Protocols for Characterizing Aerosol Emission from Heater Cooler Devices | Center for Devices and Radiological Health (fda.gov) It contains the following - A ZIP file of all of the Solidworks CAD FilesA Folder of STL file for all of the individual parts (The aerator part has one with and without a bubbler)A PDF of the CAD Drawings for the individual parts
DOI: 10.6084/m9.figshare.25505107.v2
title: <b>CAD Files Heater Cooler Regulatory Science Tool</b>

description: These files are CAD files associated with the Heater Cooler RST from CDRH/OSEL which can be found here - Protocols for Characterizing Aerosol Emission from Heater Cooler Devices | Center for Devices and Radiological Health (fda.gov)It contains the following -A ZIP file of all of the Solidworks CAD FilesA Folder of STL file for all of the individual parts (The aerator part has one with and without a bubbler)A PDF of the CAD Drawings for the individual partsTool ReferenceRST Reference Number: RST24CV04.01Date of Publication: 09/24/2023Recommended Citation: U.S. Food and Drug Administration. (2023). <i>Protocols for Characterizing Aerosol Emission from Heater Cooler Devices</i> (RST24CV04.01). https://cdrh-rst.fda.gov/protocols-characterizing-aerosol-emission-heater-cooler-devices<b>Disclaimer</b>About the Catalog of Regulatory Science ToolsThe enclosed tool is part of the Catalog of Regulatory Science Tools, which provides a peer-reviewed resource for stakeholders to use where standards and qualified Medical Device Development Tools (MDDTs) do not yet exist. These tools do not replace FDA-recognized standards or MDDTs. This catalog collates a variety of regulatory science tools that the FDA's Center for Devices and Radiological Health's (CDRH) Office of Science and Engineering Labs (OSEL) developed. These tools use the most innovative science to support medical device development and patient access to safe and effective medical devices. If you are considering using a tool from this catalog in your marketing submissions, note that these tools have not been qualified as Medical Device Development Tools and the FDA has not evaluated the suitability of these tools within any specific context of use. You may request feedback or meetings for medical device submissions as part of the Q-Submission Program.For more information about the Catalog of Regulatory Science Tools, email RST_CDRH@fda.hhs.gov.<br>
DOI: 10.15468/dl.5hdruw
title: Occurrence Download

description: A dataset containing 629 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Algansea tincella (Valenciennes, 1844)"
 ]
}

 The dataset includes 629 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051589-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15684051
title: Observer Geometry Protocol: A Phase-Based Model for Topological Quantum Security

description: This whitepaper introduces the Observer Geometry Protocol (OGP), a theoretical model for phase-based cryptographic encoding using recursive quantum observation.

 

Inspired by layered collapse functions of the form:

O₄(O₃(O₂(O₁(ψ))))

 

the model encodes security keys not as binary bitstreams, but as emergent geometrical structures that arise from specific observer-interaction configurations.

 

Applications include quantum authentication, observer-based key generation, and topology-protected access protocols.

 

The goal is to shift quantum cryptography away from bit-level abstraction and into phase-dependent structure.
DOI: 10.5281/zenodo.15684052
title: Observer Geometry Protocol: A Phase-Based Model for Topological Quantum Security

description: This whitepaper introduces the Observer Geometry Protocol (OGP), a theoretical model for phase-based cryptographic encoding using recursive quantum observation.

 

Inspired by layered collapse functions of the form:

O₄(O₃(O₂(O₁(ψ))))

 

the model encodes security keys not as binary bitstreams, but as emergent geometrical structures that arise from specific observer-interaction configurations.

 

Applications include quantum authentication, observer-based key generation, and topology-protected access protocols.

 

The goal is to shift quantum cryptography away from bit-level abstraction and into phase-dependent structure.
DOI: 10.7910/dvn/llq5dt
title: Replication Data for: Combating vaccine hesitancy: The case of HPV vaccination

description: Replication Data for: Combating vaccine hesitancy: The case of HPV vaccination
DOI: 10.6084/m9.figshare.29178827
title: Supplementary Material for: Type 2 diabetes polygenic risk score interactions with lifestyle risk factors in Black Americans

description: Introduction 
Prior work in predominantly European ancestry populations has explained how the risk associated with demographic, lifestyle, and health factors differs with underlying genetic susceptibility to type 2 diabetes (T2D), but less is known about these relationships in Black Americans.
Methods
We used covariate-adjusted logistic regression models of T2D to examine interactions between a published trans-ancestry derived T2D polygenic risk score (PRS) and various demographic, lifestyle, and health-related factors among 28,251 self-identified Black Americans from six cohort studies.
Results
The results are generally consistent with prior work in White populations. The PRS showed a significant interaction with body mass index, with a greater effect on T2D risk in individuals who were leaner (p interaction= 0.038).
Conclusion 
These results contribute to understanding the relationship between genetics and other T2D risk factors in Black Americans who have a high burden of T2D, potentially informing targeted prevention strategies.
DOI: 10.6084/m9.figshare.29178827.v1
title: Supplementary Material for: Type 2 diabetes polygenic risk score interactions with lifestyle risk factors in Black Americans

description: Introduction 
Prior work in predominantly European ancestry populations has explained how the risk associated with demographic, lifestyle, and health factors differs with underlying genetic susceptibility to type 2 diabetes (T2D), but less is known about these relationships in Black Americans.
Methods
We used covariate-adjusted logistic regression models of T2D to examine interactions between a published trans-ancestry derived T2D polygenic risk score (PRS) and various demographic, lifestyle, and health-related factors among 28,251 self-identified Black Americans from six cohort studies.
Results
The results are generally consistent with prior work in White populations. The PRS showed a significant interaction with body mass index, with a greater effect on T2D risk in individuals who were leaner (p interaction= 0.038).
Conclusion 
These results contribute to understanding the relationship between genetics and other T2D risk factors in Black Americans who have a high burden of T2D, potentially informing targeted prevention strategies.
DOI: 10.6084/m9.figshare.29178827.v2
title: Supplementary Material for: Type 2 diabetes polygenic risk score interactions with lifestyle risk factors in Black Americans

description: Introduction 
Prior work in predominantly European ancestry populations has explained how the risk associated with demographic, lifestyle, and health factors differs with underlying genetic susceptibility to type 2 diabetes (T2D), but less is known about these relationships in Black Americans.
Methods
We used covariate-adjusted logistic regression models of T2D to examine interactions between a published trans-ancestry derived T2D polygenic risk score (PRS) and various demographic, lifestyle, and health-related factors among 28,251 self-identified Black Americans from six cohort studies.
Results
The results are generally consistent with prior work in White populations. The PRS showed a significant interaction with body mass index, with a greater effect on T2D risk in individuals who were leaner (p interaction= 0.038).
Conclusion 
These results contribute to understanding the relationship between genetics and other T2D risk factors in Black Americans who have a high burden of T2D, potentially informing targeted prevention strategies.
DOI: 10.6084/m9.figshare.29341271
title: Supplementary Material for: A Fatal Case of Infection-Induced Neurofibromatosis Type 1 in an Adult

description: Background: Neurofibromatosis type 1 (NF1) is an autosomal dominant hereditary tumor disorder caused by mutations in the NF1 gene. It typically manifests in childhood with diverse clinical features, while adult-onset cases are relatively uncommon. In most instances, untreated neurofibromas pose minimal life-threatening risks even in the late stages of disease progression. However, severe multisystem complications may arise, leading to fatal outcomes.
Case Description: A 61-year-old male presented with a two-month history of fever, abdominal pain, and bloating, which worsened over four days, accompanied by erythematous skin lesions and blisters. Despite multiple medical consultations and symptomatic treatment, his condition deteriorated, with recurrent fever and diarrhea. Upon admission to the emergency department, rapidly progressing skin lesions were noted. A preliminary diagnosis of intestinal obstruction, sepsis, and fixed drug eruption was considered, and the patient was transferred to the intensive care unit (ICU) for further management. Comprehensive assessments, including thoracoabdominal CT imaging, microbiological testing, and skin lesion biopsy, were performed. Empirical antimicrobial therapy and supportive care were initiated, but microbiological tests remained negative. Histopathological examination of multiple skin biopsies confirmed neurofibromas. The patient experienced progressive enlargement of skin lesions, persistently elevated inflammatory markers, and rapid clinical deterioration, ultimately resulting in death.
Conclusion: This case illustrates a rare presentation of adult-onset NF1 with an aggressive disease course and a severe systemic inflammatory response. The rapid progression underscores the underestimated risk of critical complications and mortality in adult patients with NF1.
DOI: 10.6084/m9.figshare.29341271.v1
title: Supplementary Material for: A Fatal Case of Infection-Induced Neurofibromatosis Type 1 in an Adult

description: Background: Neurofibromatosis type 1 (NF1) is an autosomal dominant hereditary tumor disorder caused by mutations in the NF1 gene. It typically manifests in childhood with diverse clinical features, while adult-onset cases are relatively uncommon. In most instances, untreated neurofibromas pose minimal life-threatening risks even in the late stages of disease progression. However, severe multisystem complications may arise, leading to fatal outcomes.
Case Description: A 61-year-old male presented with a two-month history of fever, abdominal pain, and bloating, which worsened over four days, accompanied by erythematous skin lesions and blisters. Despite multiple medical consultations and symptomatic treatment, his condition deteriorated, with recurrent fever and diarrhea. Upon admission to the emergency department, rapidly progressing skin lesions were noted. A preliminary diagnosis of intestinal obstruction, sepsis, and fixed drug eruption was considered, and the patient was transferred to the intensive care unit (ICU) for further management. Comprehensive assessments, including thoracoabdominal CT imaging, microbiological testing, and skin lesion biopsy, were performed. Empirical antimicrobial therapy and supportive care were initiated, but microbiological tests remained negative. Histopathological examination of multiple skin biopsies confirmed neurofibromas. The patient experienced progressive enlargement of skin lesions, persistently elevated inflammatory markers, and rapid clinical deterioration, ultimately resulting in death.
Conclusion: This case illustrates a rare presentation of adult-onset NF1 with an aggressive disease course and a severe systemic inflammatory response. The rapid progression underscores the underestimated risk of critical complications and mortality in adult patients with NF1.