cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14879580
title: The Journey of Industrial Revolutions and the Rise of Ai in Pharmaceutical Manufacturing

description: Pharmaceutical industry is currently in a paradigm transition that aims to combine Artificial Intelligence (AI), Industry 4.0, and neural networks. These innovations are dramatically changing pharmaceutical manufacturing by fine tuning drug delivery systems, improving precision, lowering production costs and boosting product quality. Machine learning and deep learning models combined with other AI technologies are clearly significant for automating complex processes, predicting the release profiles of drugs, and enabling adaptive control systems in continuous manufacturing. The industry 4.0 technologies, including the Internet of Things (IoT), cyber physical systems and smart factories, has increased these transformations through seamless data connectivity and real-time monitoring. Artificial neural network (ANN), one of the latest neural networks, are becoming instrumental in solving complex optimization problems, design of novel drug delivery systems and formulation process improvement. In this review, we discuss these key technologies, their pharma applications, and how the technologies can shape the future of continuous manufacturing of drug substances in a sustainable way. This paper provides a comprehensive overview of the landscape of modern pharmaceutical manufacturing through integration of case studies, industry trends and insights into the development and challenges of these technologies. As efforts on precision medicine are gaining momentum and accelerating, AI and Industry 4.0 will guide the way to personalized drug therapies and a better global health outcome for patients.
DOI: 10.5281/zenodo.14879581
title: The Journey of Industrial Revolutions and the Rise of Ai in Pharmaceutical Manufacturing

description: Pharmaceutical industry is currently in a paradigm transition that aims to combine Artificial Intelligence (AI), Industry 4.0, and neural networks. These innovations are dramatically changing pharmaceutical manufacturing by fine tuning drug delivery systems, improving precision, lowering production costs and boosting product quality. Machine learning and deep learning models combined with other AI technologies are clearly significant for automating complex processes, predicting the release profiles of drugs, and enabling adaptive control systems in continuous manufacturing. The industry 4.0 technologies, including the Internet of Things (IoT), cyber physical systems and smart factories, has increased these transformations through seamless data connectivity and real-time monitoring. Artificial neural network (ANN), one of the latest neural networks, are becoming instrumental in solving complex optimization problems, design of novel drug delivery systems and formulation process improvement. In this review, we discuss these key technologies, their pharma applications, and how the technologies can shape the future of continuous manufacturing of drug substances in a sustainable way. This paper provides a comprehensive overview of the landscape of modern pharmaceutical manufacturing through integration of case studies, industry trends and insights into the development and challenges of these technologies. As efforts on precision medicine are gaining momentum and accelerating, AI and Industry 4.0 will guide the way to personalized drug therapies and a better global health outcome for patients.
DOI: 10.5281/zenodo.14816664
title: Mapping and Influencing the Political Ideology of Large Language Models using Synthetic Personas

description: This repository contains the datasets and materials used to analyze and replicate the results presented in our paper investigating how persona-based prompting affects the political orientations of Large Language Models (LLMs).

Contents

The repository includes files organized by model (Mistral, Llama, Qwen, and Zephyr) and experimental condition (base, right-authoritarian [ra], and left-libertarian [ll]):

Model Response Data



*_persona_compass_base.pqt: Political compass test responses for each model using baseline persona descriptions

*_persona_compass_ra.pqt: Responses after injecting right-authoritarian descriptors

*_persona_compass_ll.pqt: Responses after injecting left-libertarian descriptors


Configuration and Input Files



personas.json: Collection of synthetic persona descriptions from PersonaHub used in the experiments

token_personas.json: Tokenized versions of the persona descriptions

political_compass_statements.json: The 62 statements from the Political Compass Test used for evaluation

prompts.json: Prompt templates used for model interactions

baseLLMsPoliticalView.json: Default political orientations of the models without persona prompting


Related Code Repository

The code used to analyze this data and reproduce the results presented in the paper can be found at: https://github.com/d-lab/llm-political-personas

File Placement Instructions

After downloading, organize the files as follows:

Configuration and Input Files

Place all the configuration files in the data/raw/ directory.

Model Response Files

Rename all model-specific .pqt files to persona_compass.pqt and place them in their respective directories:



Base condition files:



data/processed/Llama-3.1-8B-Instruct/base/persona_compass.pqt

data/processed/Mistral-7B-Instruct-v0.3/base/persona_compass.pqt

data/processed/Qwen2.5-7B-Instruct/base/persona_compass.pqt

data/processed/zephyr-7b-beta/base/persona_compass.pqt



Right-authoritarian condition files:



data/processed/Llama-3.1-8B-Instruct/right_authoritarian_personas/persona_compass.pqt

data/processed/Mistral-7B-Instruct-v0.3/right_authoritarian_personas/persona_compass.pqt

data/processed/Qwen2.5-7B-Instruct/right_authoritarian_personas/persona_compass.pqt

data/processed/zephyr-7b-beta/right_authoritarian_personas/persona_compass.pqt



Left-libertarian condition files:



data/processed/Llama-3.1-8B-Instruct/left_libertarian_personas/persona_compass.pqt

data/processed/Mistral-7B-Instruct-v0.3/left_libertarian_personas/persona_compass.pqt

data/processed/Qwen2.5-7B-Instruct/left_libertarian_personas/persona_compass.pqt

data/processed/zephyr-7b-beta/left_libertarian_personas/persona_compass.pqt
DOI: 10.5281/zenodo.14816665
title: Mapping and Influencing the Political Ideology of Large Language Models using Synthetic Personas

description: This repository contains the datasets and materials used to analyze and replicate the results presented in our paper investigating how persona-based prompting affects the political orientations of Large Language Models (LLMs).

Contents

The repository includes files organized by model (Mistral, Llama, Qwen, and Zephyr) and experimental condition (base, right-authoritarian [ra], and left-libertarian [ll]):

Model Response Data



*_persona_compass_base.pqt: Political compass test responses for each model using baseline persona descriptions

*_persona_compass_ra.pqt: Responses after injecting right-authoritarian descriptors

*_persona_compass_ll.pqt: Responses after injecting left-libertarian descriptors


Configuration and Input Files



personas.json: Collection of synthetic persona descriptions from PersonaHub used in the experiments

token_personas.json: Tokenized versions of the persona descriptions

political_compass_statements.json: The 62 statements from the Political Compass Test used for evaluation

prompts.json: Prompt templates used for model interactions

baseLLMsPoliticalView.json: Default political orientations of the models without persona prompting


Related Code Repository

The code used to analyze this data and reproduce the results presented in the paper can be found at: https://github.com/d-lab/llm-political-personas

File Placement Instructions

After downloading, organize the files as follows:

Configuration and Input Files

Place all the configuration files in the data/raw/ directory.

Model Response Files

Rename all model-specific .pqt files to persona_compass.pqt and place them in their respective directories:



Base condition files:



data/processed/Llama-3.1-8B-Instruct/base/persona_compass.pqt

data/processed/Mistral-7B-Instruct-v0.3/base/persona_compass.pqt

data/processed/Qwen2.5-7B-Instruct/base/persona_compass.pqt

data/processed/zephyr-7b-beta/base/persona_compass.pqt



Right-authoritarian condition files:



data/processed/Llama-3.1-8B-Instruct/right_authoritarian_personas/persona_compass.pqt

data/processed/Mistral-7B-Instruct-v0.3/right_authoritarian_personas/persona_compass.pqt

data/processed/Qwen2.5-7B-Instruct/right_authoritarian_personas/persona_compass.pqt

data/processed/zephyr-7b-beta/right_authoritarian_personas/persona_compass.pqt



Left-libertarian condition files:



data/processed/Llama-3.1-8B-Instruct/left_libertarian_personas/persona_compass.pqt

data/processed/Mistral-7B-Instruct-v0.3/left_libertarian_personas/persona_compass.pqt

data/processed/Qwen2.5-7B-Instruct/left_libertarian_personas/persona_compass.pqt

data/processed/zephyr-7b-beta/left_libertarian_personas/persona_compass.pqt
DOI: 10.15468/dl.n7q5um
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Sonidos de la Ecoreserva predio ASA (Acacias, Meta) - Proyecto FIBRAS"
 ]
}

 The dataset includes 105 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002063-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ck5h3d
title: Occurrence Download

description: A dataset containing 1731098 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Animalia, Chordata, Aves)",
 "StateProvince is one of (cundinamarca, cundinamarca department, cundinamarca dept.)"
 ]
 }
 ]
}

 The dataset includes 1731098 records from 466 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002058-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zx3278
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Sonidos de la Ecoreserva predio ASA (Acacias, Meta) - Proyecto FIBRAS"
 ]
}

 The dataset includes 105 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002064-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xfjm9w
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cyperus esculentus L."
 ]
}

 The dataset includes 69 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002066-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.44g66s
title: Occurrence Download

description: A dataset containing 12144631 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Ecuador"
 ]
}

 The dataset includes 12144631 records from 1900 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002061-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wy74y6
title: Occurrence Download

description: A dataset containing 134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Celestus crusculus (Garman, 1887))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 134 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034923-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4nxy9j
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cymodoce alia Kensley, 1975"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0116629-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.367stq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cynisca oligopholis (Boulenger, 1906))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034938-230224095556074/datasets/export for details.
DOI: 10.15468/dl.6crvf7
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cymodoce excavans Barnard, 1920"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0116654-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7nm9dy
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Spondylurus monae Hedges & Conn, 2012, Spondylurus monitae Hedges & Conn, 2012)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034937-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sh6bgn
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cymodoce fuscina Schotte & Kensley, 2005"
 ]
}

 The dataset includes 17 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0116656-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9z29pr
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Thamnophis rossmani Conant, 2000, Thamnophis godmani (Günther, 1894))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 98 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034951-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wsu92z
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cymodoce haswelli Harrison & Holdich, 1984"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0116660-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zf25g6
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anisotome antipoda Hook.fil."
 ]
}

 The dataset includes 73 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034958-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5w6x4x
title: Occurrence Download

description: A dataset containing 178 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "Country is Argentina",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Solenopsis invicta Buren, 1972"
 ]
}

 The dataset includes 178 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119390-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ydwe2c
title: Occurrence Download

description: A dataset containing 46922 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Continent is Europe",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Pinus halepensis Mill."
 ]
}

 The dataset includes 46922 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034953-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ea4y49
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-75.0832161000000013 39.9496362000000005, -75.0832161000000013 39.9513828999999987, -75.0832161000000013 39.9528384799999969, -75.0832161000000013 39.9545851700000014, -75.0832161000000013 39.9554585200000005, -75.0832161000000013 39.9569140999999988, -75.0819767299999938 39.9569140999999988, -75.0804455899999965 39.9569140999999988, -75.0792789999999997 39.9569140999999988, -75.0782582399999967 39.9569140999999988, -75.0767270900000057 39.9569140999999988, -75.0754146799999944 39.9569140999999988, -75.0741022699999974 39.9569140999999988, -75.0722066999999953 39.9569140999999988, -75.0722066999999953 39.9556768599999970, -75.0722066999999953 39.9547307300000014, -75.0722066999999953 39.9536390499999996, -75.0722066999999953 39.9525473599999970, -75.0722066999999953 39.9509462199999987, -75.0722066999999953 39.9496362000000005, -75.0741751799999975 39.9496362000000005, -75.0754875899999945 39.9496362000000005, -75.0768729199999996 39.9496362000000005, -75.0787686200000053 39.9496362000000005, -75.0797893799999940 39.9496362000000005, -75.0818309099999937 39.9496362000000005, -75.0832161000000013 39.9496362000000005))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081039-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ruwm2
title: Occurrence Download

description: A dataset containing 1788 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Continent is Europe",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Stipa lessingiana Trin. & Rupr."
 ]
}

 The dataset includes 1788 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034939-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vknm46
title: Occurrence Download

description: A dataset containing 335 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 1000-1976"
 ]
}

 The dataset includes 335 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0127101-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ebcr5
title: Occurrence Download

description: A dataset containing 257 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Proablepharus reginae (Glauert, 1960))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 257 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034940-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d4b3bq
title: Occurrence Download

description: A dataset containing 5044219 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 5044219 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0127108-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dd4zcx
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anisotome brevistylis (Hook.fil.) Cockayne"
 ]
}

 The dataset includes 57 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034972-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kfzn4y
title: Occurrence Download

description: A dataset containing 1263 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Diversidad potencial del Reino Fungi (macrohongos y líquenes) en el Sistema de Información en Biodiversidad para Aysén (SIB-Aysén), Chile"
 ]
}

 The dataset includes 1263 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081055-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ej62b7
title: Occurrence Download

description: A dataset containing 4030 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Continent is Europe",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Potentilla cinerea Chaix ex Vill."
 ]
}

 The dataset includes 4030 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034973-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.