cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Trend: World Bank (2024-10-08). World Development Indicators: Environment | PM2.5 air pollution, mean annual exposure (micrograms per cubic meter), 1990 - 2019. Sage Data. Sage Publishing Ltd. (Dataset). Dataset-ID: 051-001-037
Creators: name: World Bank
Publisher: name: Sage Data. Sage Publishing Ltd
Year: 2024
Subjects: Agricultural Production
Agriculture
Air Pollution
Biodiversity
Energy Consumption
Energy Production
Environment
Environmental Protection
Land Use
Natural Resources
Population Density
Urbanization
Water Pollution
Water Quality
Water Supply

description: These indicators show Environmental metrics broken down by topical areas of agricultural production, biodiversity, protected areas, density, urbanization, emissions, energy, water pollution and land Use.
For World Bank definitions of each indicator, go to https://datacatalog.worldbank.org/search/dataset/0037712/World-Development-Indicators.
Trend: European Commission (2023-09-02). Digital Agenda for Europe [Archive]: Internet Usage | Malta | Households with access to the Internet at home (Percentage of households) | Total | All households, 2022. Sage Data. Sage Publishing Ltd. (Dataset). Dataset-ID: 074-001-012
Creators: name: European Commission
Publisher: name: Sage Data. Sage Publishing Ltd
Year: 2024
Subjects: Information and Communications Technology
Internet Access
Internet Use

description: Presents statistics on Internet use and access in European and other nations.
sj-docx-1-pec-10.1177_03010066231198417 - Supplemental material for Face inversion effect on perceived cuteness of infant faces
Creators: name: Kuraguchi, Kana
name: Nittono, Hiroshi
Publisher: name: SAGE Journals
Year: 2023
Subjects: subject: Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine
subject: Psychology not elsewhere classified
subject: Psychiatry (incl. Psychotherapy)

description: Supplemental material, sj-docx-1-pec-10.1177_03010066231198417 for Face inversion effect on perceived cuteness of infant faces by Kana Kuraguchi and Hiroshi Nittono in Perception
sj-pdf-1-vdi-10.1177_10406387231196552 – Supplemental material for Visualizing neutrophil extracellular traps in septic equine synovial and peritoneal fluid samples using immunofluorescence microscopy
Creators: name: Birckhead, Emily M.
name: Das, Shubhagata
name: Tidd, Naomie
name: Raidal, Sharanne L.
name: Raidal, Shane R.
Publisher: name: SAGE Journals
Year: 2023
Subjects: Pharmacology and Pharmaceutical Sciences not elsewhere classified
Veterinary Medicine

description: Supplemental material, sj-pdf-1-vdi-10.1177_10406387231196552 for Visualizing neutrophil extracellular traps in septic equine synovial and peritoneal fluid samples using immunofluorescence microscopy by Emily M. Birckhead, Shubhagata Das, Naomie Tidd, Sharanne L. Raidal and Shane R. Raidal in Journal of Veterinary Diagnostic Investigation
Map: National Center for Health Statistics, Centers for Disease Control and Prevention (2024-10-18). Births Data Summary: Count of Live Births, 2023. Sage Data. Sage Publishing Ltd. (Dataset). Dataset-ID: 005-064-003
Creators: name: Centers For Disease Control And Prevention
Publisher: name: Sage Data. Sage Publishing Ltd
Year: 2024
Subjects: Birth Rates
Infants
Live Births

description: Provides the number of live births by US state and county. A live birth is defined as the birth of a human child who shows signs of life such as a heartbeat or voluntary muscle movement upon birth from the mother.
sj-docx-1-pie-10.1177_09544089231199223 - Supplemental material for Performance evaluation of interfacial characteristics between cold metal transfer-wire arc additive manufactured SS308LSi and wrought SS304L with controlled and uncontrolled interlayer temperature
Creators: name: Koppu, Anand Kumar
name: Motwani, Amit
name: Lautre, Nitin Kumar
name: Bhishnurkar, Ankush D
Publisher: name: SAGE Journals
Year: 2023
Subjects: Engineering not elsewhere classified
Materials Engineering not elsewhere classified

description: Supplemental material, sj-docx-1-pie-10.1177_09544089231199223 for Performance evaluation of interfacial characteristics between cold metal transfer-wire arc additive manufactured SS308LSi and wrought SS304L with controlled and uncontrolled interlayer temperature by Anand Kumar Koppu, Amit Motwani, Nitin Kumar Lautre and Ankush D Bhishnurkar in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
sj-docx-1-pie-10.1177_09544089231196060 - Supplemental material for Mechanical properties and microstructure of aluminum alloy 7075-T6 spot-welding joint
Creators: name: Zhang, Yue
name: Jiang, Jiachuan
name: Peng, Ruitao
name: Zhu, Linwei
name: Lu, Yan
name: Lei, Bei
Publisher: name: SAGE Journals
Year: 2023
Subjects: Engineering not elsewhere classified
Materials Engineering not elsewhere classified

description: Supplemental material, sj-docx-1-pie-10.1177_09544089231196060 for Mechanical properties and microstructure of aluminum alloy 7075-T6 spot-welding joint by Yue Zhang, Jiachuan Jiang, Ruitao Peng, Linwei Zhu, Yan Lu and Bei Lei in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
Müller, Anselm Winfried in Zusammenarbeit mit Werner Greve, Yungh-Yae Han, Klaus Rothermund, Ender der Moral?
Creators: name: Ricken, Friedo
Publisher: name: Theologie und Philosophie
Year: 1970

description: Theologie und Philosophie, Bd. 72 Nr. 1 (1997): Theologie und Philosophie, Band 72, Heft 1
Political Biases on X before the 2025 German Federal Election
Creators: name: Prama, Tabia Tanzin
name: Bagchi, Chhandak
name: Kalakonnavar, Vishal
name: Krauß, Paul
name: Grabowicz, Przemyslaw A.
Publisher: name: arXiv
Year: 2025
Subjects: subject: Social and Information Networks (cs.SI)
subject: Computers and Society (cs.CY)
subject: FOS: Computer and information sciences

description: This study examines whether German X users would see politically balanced news feeds if they followed comparable leading politicians from each federal parliamentary party of Germany. We address this question using an algorithmic audit tool [1] and all publicly available posts published by 436 German politicians on X. We find that the default feed of X showed more content from far-right AfD than from other political parties. We analyze potential factors influencing feed content and the resulting political non-representativeness of X. Our findings suggest that engagement measures and unknown factors related to party affiliation contribute to the overrepresentation of extremes of the German political party spectrum in the default algorithmic feed of X.
Additional file 6 of Detection of allele-specific expression in spatial transcriptomics with spASE
Creators: name: Zou, Luli S.
name: Cable, Dylan M.
name: Barrera-Lopez, Irving A.
name: Zhao, Tongtong
name: Murray, Evan
name: Aryee, Martin J.
name: Chen, Fei
name: Irizarry, Rafael A.
Publisher: name: figshare
Year: 2024
Subjects: subject: Space Science
subject: Genetics
subject: FOS: Biological sciences
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Cancer
subject: Plant Biology

description: Additional file 6: Review history.
Trend: National Center for Health Statistics, Centers for Disease Control and Prevention (2024-10-18). Births Data Summary: Count of Live Births, 2007 - 2023. Sage Data. Sage Publishing Ltd. (Dataset). Dataset-ID: 005-064-003
Creators: name: Centers For Disease Control And Prevention
Publisher: name: Sage Data. Sage Publishing Ltd
Year: 2024
Subjects: Birth Rates
Infants
Live Births

description: Provides the number of live births by US state and county. A live birth is defined as the birth of a human child who shows signs of life such as a heartbeat or voluntary muscle movement upon birth from the mother.
Trend: United States Census Bureau, Bureau of Labor Statistics (2024-11-15). Consumer Expenditures: Age of Reference Person: 25 - 34 | Total average annual expenditures | Food | Total average annual expenditures | Cereals and cereal products, 1984 - 2023. Sage Data. Sage Publishing Ltd. (Dataset). Dataset-ID: 002-008-024
Creators: name: Bureau Of Labor Statistics
Publisher: name: Sage Data. Sage Publishing Ltd
Year: 2024
Subjects: Age
Consumer Behavior
Consumer Spending
Consumers
Young Adults

description: Reports consumer spending by age of reference person. Reference person is the first member mentioned by the respondent when asked to "Start with the name of the person or one of the persons who owns or rents the home." It is with respect to this person that the relationship of the other consumer unit members is determined.
Trend: European Commission (2023-09-02). Digital Agenda for Europe [Archive]: Internet Usage | Malta | Individuals who are regular internet users (at least once a week) (Percentage of individuals) | Individuals who are frequent internet users (every day or almost every day) (Percentage of individuals) | Individuals who have never used the internet (Percentage of individuals) | Total | Age (3 groups) | All Individuals (aged 16-74) | Individuals, 55 to 74 years old, 2019 - 2022. Sage Data. Sage Publishing Ltd. (Dataset). Dataset-ID: 074-001-012
Creators: name: European Commission
Publisher: name: Sage Data. Sage Publishing Ltd
Year: 2024
Subjects: Information and Communications Technology
Internet Access
Internet Use

description: Presents statistics on Internet use and access in European and other nations.
Trend: European Commission (2023-09-02). Digital Agenda for Europe [Archive]: Internet Usage | Malta | Individuals who have used internet in the last 3 months (Percentage of individuals) | Individuals who are regular internet users (at least once a week) (Percentage of individuals) | Individuals who are frequent internet users (every day or almost every day) (Percentage of individuals) | Individuals who have never used the internet (Percentage of individuals) | Total | Age (3 groups) | All Individuals (aged 16-74) | Individuals, 55 to 74 years old, 2019 - 2022. Sage Data. Sage Publishing Ltd. (Dataset). Dataset-ID: 074-001-012
Creators: name: European Commission
Publisher: name: Sage Data. Sage Publishing Ltd
Year: 2024
Subjects: Information and Communications Technology
Internet Access
Internet Use

description: Presents statistics on Internet use and access in European and other nations.
Trend: European Commission (2023-09-02). Digital Agenda for Europe [Archive]: Internet Usage | Malta | Individuals who are regular internet users (at least once a week) (Percentage of individuals) | Individuals who are frequent internet users (every day or almost every day) (Percentage of individuals) | Individuals who have never used the internet (Percentage of individuals) | Total | Age (3 groups) | All Individuals (aged 16-74) | Individuals, 55 to 74 years old, 2022. Sage Data. Sage Publishing Ltd. (Dataset). Dataset-ID: 074-001-012
Creators: name: European Commission
Publisher: name: Sage Data. Sage Publishing Ltd
Year: 2024
Subjects: Information and Communications Technology
Internet Access
Internet Use

description: Presents statistics on Internet use and access in European and other nations.
Perceive Project Deliverable Database Of The Topics And Sentiments To Be Made Available On-Line For Further Research
Creators: name: Barberio, Vitaliano
name: Kuric, Ines
name: Meyer, Renate
name: Höllerer, Markus
name: Mollona, Edoardo
name: Pareschi, Luca
Publisher: name: Zenodo
Year: 2017
Subjects: cohesion policy
perceive
perceive project
communication
sentiment analysis
topics
sentiment
europe
europeans
eu
online database

description: This document describes the database we developed from data collection and organization activities as described in tasks 5.2 and 5.3 of the PERCEIVE project. The former task, which lasted from month 5 to month 10, consisted of an “Original data collection for exploratory topic modeling”. The latter task, which lasted from month 10 to month 13, was named “Topic modeling and qualification”. As stated in the Grant Agreement, this description of the database was expected around month 14 (October 2017), while the database itself will be made publically available on-line for further research only after the end of the PERCEIVE project. Indeed, task 5.4, which will last until month 15 is the “Actual Construction of a database of discursive topics”. This document will thus focus on data collection and organization as well as provide an example of the topic models that we are developing coding discourses from different kinds of described datasets. In order to conduct an exploratory documental historical analysis of EU Cohesion Policy and identity multiplicity, we planned to collect texts from several printed sources. During our data collection process, we improved our collection strategy by conducting several pilot tests. Table 1 presents the differences between the planned data collection process and the actual data that we collected.
General form of the function $f(\mathbb{Q})$ using cylindrically static spacetime
Creators: name: Nashed, G. G. L.
Publisher: name: arXiv
Year: 2025
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We find an exact static solution in four dimensions to the field equations of the $f(\mathbb{Q})$ gravity by using a cylindrically static spacetime with two different ansatz, $ν(r)$ and $μ(r)$. This solution is derived without imposing any conditions on $f(\mathbb{Q})$. The black hole solution involves four constants: $c_1$, $c_2$, $c_3$, and $c_4$. Among these, $c_1$ is linked to the cosmological constant, $c_2$ to the black hole's mass, while $c_3$ and $c_4$ are responsible for the deviation of the solution from the linear form of $f(\mathbb{Q})$. We demonstrate how the analytical function $f(\mathbb{Q})$ relies on $c_3$. When $c_3$ is zero, $f(\mathbb{Q})$ becomes a constant function, leading to the non-metricity case. We investigate the singularity of this solution and show that the Kretschmann invariant has a much milder singularity compared to the non-metricity case. We produce a black hole that rotates with non-vanishing values of $\mathbb{Q}$ and $f(\mathbb{Q})$ by using a coordinate transformation. Then, we analyze the laws of thermodynamics to determine the physical characteristics of this black hole solution and demonstrate that it is locally thermodynamically stable.
description: 12 pages, 2 Figs
Trend: United States Census Bureau, United States Census Bureau (2023-08-23). State and Local Government Finances: Expenditures - Current Operations | NEW YORK CITY | Current Operations - Miscellaneous Commercial Activities, NEC | Current Operations - Local Fire Protection | Current Operations - General Public Buildings | Current Operations - Parking Facilities | Current Operations - Sewerage | Current Operations - Solid Waste Management | Current Operations - Water Utilities | Current Operations - Transit Utilities, 2018 - 2021. Sage Data. Sage Publishing Ltd. (Dataset). Dataset-ID: 001-028-006
Creators: name: United States Census Bureau
Publisher: name: Sage Data. Sage Publishing Ltd
Year: 2024
Subjects: Expenditures
Government Spending
Local Government
Public Finance
State Government

description: Expenditure includes all amounts of money paid out by a government during its fiscal year – net of recoveries and other correcting transactions – other than for retirement of debt, purchase of investment securities, extension of loans, and agency or private trust transactions. Under this definition, expenditure relates to external payments of a government and excludes amounts transferred to funds or agencies of the same government (other than payments to intragovernmental service funds. Expenditure includes payments from all sources of funds, including not only current revenues but also proceeds from borrowing and prior year fund balances. Expenditure includes amounts spent by all agencies, boards, commissions, or other organizations categorized as dependent on the government concerned. Stated in terms of the accounting procedures from which these data originate, expenditure covers outlays of all accounting funds of a government other than intragovernmental service (revolving), agency, and private trust funds. Expenditures of business-type activities of governments (utilities and other commercial or auxiliary enterprises) are reported on a gross basis. Reported here are governmental expenditures for current operations by function.
Modality-Agnostic Style Transfer for Holistic Feature Imputation
Creators: name: Baek, Seunghun
name: Sim, Jaeyoon
name: Dere, Mustafa
name: Kim, Minjeong
name: Wu, Guorong
name: Kim, Won Hwa
Publisher: name: arXiv
Year: 2025
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Characterizing a preclinical stage of Alzheimer's Disease (AD) via single imaging is difficult as its early symptoms are quite subtle. Therefore, many neuroimaging studies are curated with various imaging modalities, e.g., MRI and PET, however, it is often challenging to acquire all of them from all subjects and missing data become inevitable. In this regards, in this paper, we propose a framework that generates unobserved imaging measures for specific subjects using their existing measures, thereby reducing the need for additional examinations. Our framework transfers modality-specific style while preserving AD-specific content. This is done by domain adversarial training that preserves modality-agnostic but AD-specific information, while a generative adversarial network adds an indistinguishable modality-specific style. Our proposed framework is evaluated on the Alzheimer's Disease Neuroimaging Initiative (ADNI) study and compared with other imputation methods in terms of generated data quality. Small average Cohen's $d$ $< 0.19$ between our generated measures and real ones suggests that the synthetic data are practically usable regardless of their modality type.
description: ISBI 2024 (oral)
Trend: European Commission (2023-09-02). Digital Agenda for Europe [Archive]: Internet Usage | Malta | Individuals who are regular internet users (at least once a week) (Percentage of individuals) | Individuals who are frequent internet users (every day or almost every day) (Percentage of individuals) | Individuals who have never used the internet (Percentage of individuals) | Total | Age (3 groups) | All Individuals (aged 16-74) | Individuals, 55 to 74 years old, 2020 - 2022. Sage Data. Sage Publishing Ltd. (Dataset). Dataset-ID: 074-001-012
Creators: name: European Commission
Publisher: name: Sage Data. Sage Publishing Ltd
Year: 2024
Subjects: Information and Communications Technology
Internet Access
Internet Use

description: Presents statistics on Internet use and access in European and other nations.
OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels
Creators: name: Baek, Seunghun
name: Sim, Jaeyoon
name: Wu, Guorong
name: Kim, Won Hwa
Publisher: name: arXiv
Year: 2025
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Accurately discriminating progressive stages of Alzheimer's Disease (AD) is crucial for early diagnosis and prevention. It often involves multiple imaging modalities to understand the complex pathology of AD, however, acquiring a complete set of images is challenging due to high cost and burden for subjects. In the end, missing data become inevitable which lead to limited sample-size and decrease in precision in downstream analyses. To tackle this challenge, we introduce a holistic imaging feature imputation method that enables to leverage diverse imaging features while retaining all subjects. The proposed method comprises two networks: 1) An encoder to extract modality-independent embeddings and 2) A decoder to reconstruct the original measures conditioned on their imaging modalities. The encoder includes a novel {\em ordinal contrastive loss}, which aligns samples in the embedding space according to the progression of AD. We also maximize modality-wise coherence of embeddings within each subject, in conjunction with domain adversarial training algorithms, to further enhance alignment between different imaging modalities. The proposed method promotes our holistic imaging feature imputation across various modalities in the shared embedding space. In the experiments, we show that our networks deliver favorable results for statistical analysis and classification against imputation baselines with Alzheimer's Disease Neuroimaging Initiative (ADNI) study.
description: MICCAI 2024 (Provisional Accept)
Map-based assessment of older adults’ life space. Validity and reliability
Creators: name: Hinrichs, Timo
name: Zanda, Adriana
name: Fillekes, Michelle P.
name: Bereuter, Pia
name: Portegijs, Erja
name: Rantanen, Taina
name: Schmidt-Trucksäss, Arno
name: Zeller, Andreas W.
name: Weibel, Robert
Publisher: name: BioMed Central
Year: 2020
Subjects: subject: Geographic information systems
subject: Environment
subject: Mobility
subject: Aged
subject: 600 - Technik, Medizin, angewandte Wissenschaften

description: Background Map-based tools have recently found their way into health-related research. They can potentially be used to quantify older adults’ life-space. This study aimed to evaluate the validity (vs. GPS) and the test-retest reliability of a map-based life-space assessment (MBA). Methods Life-space of one full week was assessed by GPS and by MBA. MBA was repeated after approximately 3 weeks. Distance-related (mean and maximum distance from home) and area-related (convex hull, standard deviational ellipse) life-space indicators were calculated. Intraclass correlations (MBA vs. GPS and test-retest) were calculated in addition to Bland-Altman analyses (MBA vs. GPS). Results Fifty-eight older adults (mean age 74, standard deviation 5.5 years; 39.7% women) participated in the study. Bland-Altman analyses showed the highest agreement between methods for the maximum distance from home. Intraclass correlation coefficients ranged between 0.19 (95% confidence interval 0 to 0.47) for convex hull and 0.72 (95% confidence interval 0.52 to 0.84) for maximum distance from home. Intraclass correlation coefficients for test-retest reliability ranged between 0.04 (95% confidence interval 0 to 0.30) for convex hull and 0.43 (95% confidence interval 0.19 to 0.62) for mean distance from home. Conclusions While acceptable validity and reliability were found for the distance-related life-space parameters, MBA cannot be recommended for the assessment of area-related life-space parameters.
Monitoring of the offset between UTC and its prediction broadcast by the GNSS
Creators: name: Defraigne, Pascale
name: Pinat, Elisa
name: Petit, Gérard
name: Meynadier, Frédéric
Publisher: name: arXiv
Year: 2025
Subjects: subject: Instrumentation and Detectors (physics.ins-det)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: FOS: Physical sciences

description: We present a new approach to report in the Section 4 of BIPM Circular T daily values of the offset between UTC and the predictions of UTC broadcast by the GNSS, this quantity we name bUTC_GNSS. In this approach, the determination of UTC - bUTC_GNSS is based on data collected by several multi-GNSS stations in selected time laboratories worldwide. Test computations over a 7-month period from July 2022 to January 2023 show that the offset between UTC and bUTC_GNSS was between 30 and 50 ns for GLONASS, between 5 and 20 ns for BeiDou, and between -5 and +5 ns for GPS and Galileo. We derive the uncertainty on the reported values, which is 4.1 ns for BeiDou and GPS, 3.7 ns for Galileo and 6.6 ns for GLONASS and show that, over the test period, the reported values of UTC - bUTC_GNSS and the solutions obtained from each multi-GNSS station are all consistent within the 1-sigma uncertainties.
Trend: United States Census Bureau (2024-11-08). Imports (Goods and Services): Imports - Total, 01/1992 - 09/2024. Sage Data. Sage Publishing Ltd. (Dataset). Dataset-ID: 001-024-001
Creators: name: United States Census Bureau
Publisher: name: Sage Data. Sage Publishing Ltd
Year: 2024
Subjects: Imports
International Trade
Merchandise

description: For imports, the value reported is the U.S. Customs Border and Protection appraised value of merchandise; generally, the price paid for merchandise for export to the U.S. Import duties, freight, insurance, and other charges incurred in bringing merchandise to the U.S. are excluded.
Computer-aided shape features extraction and regression models for predicting the ascending aortic aneurysm growth rate
Creators: name: Geronzi, Leonardo
name: Martinez, Antonio
name: Rochette, Michel
name: Yan, Kexin
name: Bel-Brunon, Aline
name: Haigron, Pascal
name: Escrig, Pierre
name: Tomasi, Jacques
name: Daniel, Morgan
name: Lalande, Alain
name: Lin, Siyu
name: Marin-Castrillon, Diana Marcela
name: Bouchot, Olivier
name: Porterie, Jean
name: Valentini, Pier Paolo
name: Biancolini, Marco Evangelos
Publisher: name: arXiv
Year: 2025
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: Numerical Analysis (math.NA)
subject: Medical Physics (physics.med-ph)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: Objective: ascending aortic aneurysm growth prediction is still challenging in clinics. In this study, we evaluate and compare the ability of local and global shape features to predict ascending aortic aneurysm growth.
 Material and methods: 70 patients with aneurysm, for which two 3D acquisitions were available, are included. Following segmentation, three local shape features are computed: (1) the ratio between maximum diameter and length of the ascending aorta centerline, (2) the ratio between the length of external and internal lines on the ascending aorta and (3) the tortuosity of the ascending tract. By exploiting longitudinal data, the aneurysm growth rate is derived. Using radial basis function mesh morphing, iso-topological surface meshes are created. Statistical shape analysis is performed through unsupervised principal component analysis (PCA) and supervised partial least squares (PLS). Two types of global shape features are identified: three PCA-derived and three PLS-based shape modes. Three regression models are set for growth prediction: two based on gaussian support vector machine using local and PCA-derived global shape features; the third is a PLS linear regression model based on the related global shape features. The prediction results are assessed and the aortic shapes most prone to growth are identified.
 Results: the prediction root mean square error from leave-one-out cross-validation is: 0.112 mm/month, 0.083 mm/month and 0.066 mm/month for local, PCA-based and PLS-derived shape features, respectively. Aneurysms close to the root with a large initial diameter report faster growth.
 Conclusion: global shape features might provide an important contribution for predicting the aneurysm growth.
Trend: United States Census Bureau, United States Census Bureau (2023-08-23). State and Local Government Finances: Expenditures - Current Operations | NEW YORK CITY | Current Operations - Police Protection, 1996 - 2021. Sage Data. Sage Publishing Ltd. (Dataset). Dataset-ID: 001-028-006
Creators: name: United States Census Bureau
Publisher: name: Sage Data. Sage Publishing Ltd
Year: 2024
Subjects: Expenditures
Government Spending
Local Government
Public Finance
State Government

description: Expenditure includes all amounts of money paid out by a government during its fiscal year – net of recoveries and other correcting transactions – other than for retirement of debt, purchase of investment securities, extension of loans, and agency or private trust transactions. Under this definition, expenditure relates to external payments of a government and excludes amounts transferred to funds or agencies of the same government (other than payments to intragovernmental service funds. Expenditure includes payments from all sources of funds, including not only current revenues but also proceeds from borrowing and prior year fund balances. Expenditure includes amounts spent by all agencies, boards, commissions, or other organizations categorized as dependent on the government concerned. Stated in terms of the accounting procedures from which these data originate, expenditure covers outlays of all accounting funds of a government other than intragovernmental service (revolving), agency, and private trust funds. Expenditures of business-type activities of governments (utilities and other commercial or auxiliary enterprises) are reported on a gross basis. Reported here are governmental expenditures for current operations by function.
Trend: US Department of Energy, Energy Information Administration (2024-11-14). Energy Totals: Environmental CO2 Emissions | Carbon Dioxide Emissions From Energy Consumption: Transportation Sector | Motor Gasoline, Excluding Ethanol, Transportation Sector CO2 Emissions, Monthly | Residual Fuel Oil Transportation Sector CO2 Emissions, Monthly, 01/1973 - 07/2024. Sage Data. Sage Publishing Ltd. (Dataset). Dataset-ID: 004-022-006
Creators: name: Energy Information Administration
Publisher: name: Sage Data. Sage Publishing Ltd
Year: 2024
Subjects: Carbon Dioxide Emissions (CO₂)
Electric Power
Energy Consumption
Environment
Fossil Fuels

description: Presents monthly and annual estimates of carbon dioxide (CO2) emissions in the US from energy consumption by sector and by the sources of consumption (e.g. natural gas consumption). Energy consumption is the use of energy as a source of heat or power or as a raw material input to a manufacturing process.
Raffelt, Albert / Reifenberg, Peter / Fuchs, Gotthard, Das Tun, der Glaube, die Vernunft
Creators: name: Splett, Jörg
Publisher: name: Theologie und Philosophie
Year: 1970

description: Theologie und Philosophie, Bd. 72 Nr. 1 (1997): Theologie und Philosophie, Band 72, Heft 1
Trend: US Department of Energy, Energy Information Administration (2024-11-14). Energy Totals: Environmental CO2 Emissions | Carbon Dioxide Emissions From Energy Consumption: Transportation Sector | Motor Gasoline, Excluding Ethanol, Transportation Sector CO2 Emissions, Annual, 1973 - 2023. Sage Data. Sage Publishing Ltd. (Dataset). Dataset-ID: 004-022-006
Creators: name: Energy Information Administration
Publisher: name: Sage Data. Sage Publishing Ltd
Year: 2024
Subjects: Carbon Dioxide Emissions (CO₂)
Electric Power
Energy Consumption
Environment
Fossil Fuels

description: Presents monthly and annual estimates of carbon dioxide (CO2) emissions in the US from energy consumption by sector and by the sources of consumption (e.g. natural gas consumption). Energy consumption is the use of energy as a source of heat or power or as a raw material input to a manufacturing process.
sj-pdf-1-cps-10.1177_00104140221100198 – Supplemental Material for Moral Logics of Support for Nonviolent Resistance: Evidence From a Cross-National Survey Experiment
Creators: name: Dahlum, Sirianne
name: Pinckney, Jonathan
name: Wig, Tore
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 160607 International Relations
subject: FOS: Political science

description: Supplemental Material, sj-pdf-1-cps-10.1177_00104140221100198 for Moral Logics of Support for Nonviolent Resistance: Evidence From a Cross-National Survey Experiment by Sirianne Dahlum, Jonathan Pinckney and Tore Wig in Comparative Political Studies
Additional file 2 of Effect of dynamic exclusion and the use of FAIMS, DIA and MALDI-mass spectrometry imaging with ion mobility on amyloid protein identification
Creators: name: Aguilan, Jennifer T.
name: Lim, Jihyeon
name: Racine-Brzostek, Sabrina
name: Fischer, Joshua
name: Silvescu, Cristina
name: Cornett, Shannon
name: Nieves, Edward
name: Mendu, Damodara Rao
name: Aliste, Carlos-Madrid
name: Semple, Stacia
name: Angeletti, Ruth
name: Weiss, Louis M.
name: Cole, Adam
name: Prystowsky, Michael
name: Pullman, James
name: Sidoli, Simone
Publisher: name: figshare
Year: 2024
Subjects: subject: Biophysics
subject: Biochemistry
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Infectious Diseases
subject: FOS: Health sciences

description: Supplementary Material 2. Table S1—Amyloidosis sub-types from tissue specimens from different organs analyzed by combined laser capture microdissection and liquid chromatography tandem mass spectrometry (LC-MS/MS). Table S5—Collision cross section (CCS) values from isobaric peptides observed from CR (+) and CR (−) tissues analyzed and resolved by MALDI-ultrahigh resolution and TIMS. Table S6—List of amyloidosis samples and the different platforms used for data acquisition. Table S7—Mass spectrometer parameters and settings for the Velos, Lumos and Exploris. Table S8—Cost comparison of amyloidosis sub-typing. Table S9—Cost analysis amyloidosis subtyping by MALDI-MSI.
sj-docx-1-eqs-10.1177_87552930221096700 – Supplemental material for Use of scenario earthquakes for seismic hazard assessment in low-seismicity, stable continental regions: A case study from Indiana, USA
Creators: name: Sherrill, Elizabeth M
name: Hamburger, Michael W
name: Anna Nowicki Jessee, M
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 99999 Engineering not elsewhere classified
subject: FOS: Other engineering and technologies

description: Supplemental material, sj-docx-1-eqs-10.1177_87552930221096700 for Use of scenario earthquakes for seismic hazard assessment in low-seismicity, stable continental regions: A case study from Indiana, USA by Elizabeth M Sherrill, Michael W Hamburger and M Anna Nowicki Jessee in Earthquake Spectra
Applications of Entropy in Data Analysis and Machine Learning: A Review
Creators: name: Fontaine, Salomé A. Sepúveda
name: Amigó, José M.
Publisher: name: arXiv
Year: 2025
Subjects: subject: Machine Learning (stat.ML)
subject: Machine Learning (cs.LG)
subject: Probability (math.PR)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics
subject: Primary: 94A16, Secondary: 62R07

description: Since its origin in the thermodynamics of the 19th century, the concept of entropy has also permeated other fields of physics and mathematics, such as Classical and Quantum Statistical Mechanics, Information Theory, Probability Theory, Ergodic Theory and the Theory of Dynamical Systems. Specifically, we are referring to the classical entropies: the Boltzmann-Gibbs, von Neumann, Shannon, Kolmogorov-Sinai and topological entropies. In addition to their common name, which is historically justified (as we briefly describe in this review), other commonality of the classical entropies is the important role that they have played and are still playing in the theory and applications of their respective fields and beyond. Therefore, it is not surprising that, in the course of time, many other instances of the overarching concept of entropy have been proposed, most of them tailored to specific purposes. Following the current usage, we will refer to all of them, whether classical or new, simply as entropies. Precisely, the subject of this review is their applications in data analysis and machine learning. The reason for these particular applications is that entropies are very well suited to characterize probability mass distributions, typically generated by finite-state processes or symbolized signals. Therefore, we will focus on entropies defined as positive functionals on probability mass distributions and provide an axiomatic characterization that goes back to Shannon and Khinchin. Given the plethora of entropies in the literature, we have selected a representative group, including the classical ones. The applications summarized in this review finely illustrate the power and versatility of entropy in data analysis and machine learning.
description: 39 pages, 3 figures, 282 references
Supplemental Material - Still the Same? Revealed Preferences and Ideological Self-Perception Among Former Members of Congress
Creators: name: Ramey, Adam J.
name: Klingler, Jonathan D.
name: Hollibaugh, Gary E.
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 160607 International Relations
subject: FOS: Political science

description: Supplemental Material for Still the Same? Revealed Preferences and Ideological Self-Perception Among Former Members of Congress by Adam J. Ramey, Jonathan D. Klingler, and Gary E. Hollibaugh, Jr in American Politics Research
Trend: US Department of Energy, Energy Information Administration (2024-11-14). Energy Totals: Environmental CO2 Emissions | Carbon Dioxide Emissions From Energy Consumption: Transportation Sector | Aviation Gasoline Transportation Sector CO2 Emissions, Annual, 1973 - 2023. Sage Data. Sage Publishing Ltd. (Dataset). Dataset-ID: 004-022-006
Creators: name: Energy Information Administration
Publisher: name: Sage Data. Sage Publishing Ltd
Year: 2024
Subjects: Carbon Dioxide Emissions (CO₂)
Electric Power
Energy Consumption
Environment
Fossil Fuels

description: Presents monthly and annual estimates of carbon dioxide (CO2) emissions in the US from energy consumption by sector and by the sources of consumption (e.g. natural gas consumption). Energy consumption is the use of energy as a source of heat or power or as a raw material input to a manufacturing process.
Sieg, Ulrich, Aufstieg und Niedergang des Marburger Neukantianismus
Creators: name: Ollig, Hans-Ludwig
Publisher: name: Theologie und Philosophie
Year: 1970

description: Theologie und Philosophie, Bd. 72 Nr. 1 (1997): Theologie und Philosophie, Band 72, Heft 1
Trend: Energy Information Administration (2024-10-29). Energy-Related Carbon Dioxide (CO2) Emissions : CO2 Emissions from Petroleum Consumption by Sector | Transportation carbon dioxide emissions | Transportation carbon dioxide emissions, petroleum, 1970 - 2021. Sage Data. Sage Publishing Ltd. (Dataset). Dataset-ID: 004-023-004
Creators: name: Energy Information Administration
Publisher: name: Sage Data. Sage Publishing Ltd
Year: 2024
Subjects: Carbon Dioxide Emissions (CO₂)
Energy Consumption
Fuel Consumption
Petroleum

description: Reports the amount of carbon dioxide (CO2) released into the atmosphere from the consumption of petroleum. Amounts are reported in total and by sector for the nation and states. Also reported is a coefficient for scaling emissions to activity data in terms of a standard rate of emissions per unit of activity (eg, pounds of carbon dioxide emitted per Btu of fossil fuel consumed).
Additional file 1 of A novel lncRNA LOC101928222 promotes colorectal cancer angiogenesis by stabilizing HMGCS2 mRNA and increasing cholesterol synthesis
Creators: name: Chang, Lisha
name: Ding, Jie
name: Pu, Juan
name: Zhu, Jing
name: Zhou, Xiang
name: Luo, Qian
name: Li, Jie
name: Qian, Mengsen
name: Lin, Shuhui
name: Li, Juan
name: Wang, Keming
Publisher: name: figshare
Year: 2024
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 1: Table S1. Sequences of all the shRNA.
Trend: Energy Information Administration (2017-08-04). International Energy Statistics [Archive]: CO2 Emissions | United States | C02 Emissions from the Consumption of Natural Gas (Million Metric Tons), 1980 - 2012. Sage Data. Sage Publishing Ltd. (Dataset). Dataset-ID: 004-014-039
Creators: name: Energy Information Administration
Publisher: name: Sage Data. Sage Publishing Ltd
Year: 2024
Subjects: Carbon Dioxide Emissions (CO₂)
Climate Change
Energy Consumption

description: Reports carbon dioxide (CO2) emissions from the consumption of energy by country, as available. Carbon dioxide is a product of fossil-fuel combustion as well as other processes. It is considered a greenhouse gas as it traps heat (infrared energy) radiated by the Earth into the atmosphere and thereby contributes to the potential for global warming. The global warming potential (GWP) of other greenhouse gases is measured in relation to that of carbon dioxide, which by international scientific convention is assigned a value of one (1).
Supplemental Material, sj-pdf-1-ptd-10.1177_08968608221080586 - ISPD peritonitis guideline recommendations: 2022 update on prevention and treatment
Creators: name: Li, Philip Kam-Tao
name: Chow, Kai Ming
name: Cho, Yeoungjee
name: Fan, Stanley
name: Figueiredo, Ana E
name: Harris, Tess
name: Kanjanabuch, Talerngsak
name: Kim, Yong-Lim
name: Madero, Magdalena
name: Malyszko, Jolanta
name: Mehrotra, Rajnish
name: Okpechi, Ikechi G
name: Perl, Jeff
name: Piraino, Beth
name: Runnegar, Naomi
name: Teitelbaum, Isaac
name: Wong, Jennifer Ka-Wah
name: Yu, Xueqing
name: Johnson, David W
Publisher: name: SAGE Journals
Year: 2022
Subjects: Medicine

description: Supplemental Material, sj-pdf-1-ptd-10.1177_08968608221080586 for ISPD peritonitis guideline recommendations: 2022 update on prevention and treatment by Philip Kam-Tao Li, Kai Ming Chow, Yeoungjee Cho, Stanley Fan, Ana E Figueiredo, Tess Harris, Talerngsak Kanjanabuch, Yong-Lim Kim, Magdalena Madero, Jolanta Malyszko, Rajnish Mehrotra, Ikechi G Okpechi, Jeff Perl, Beth Piraino, Naomi Runnegar, Isaac Teitelbaum, Jennifer Ka-Wah Wong, Xueqing Yu and David W Johnson in Peritoneal Dialysis International
Trend: US Department of Energy, Energy Information Administration (2024-11-14). Energy Totals: Environmental CO2 Emissions | Carbon Dioxide Emissions From Energy Consumption: Transportation Sector | Motor Gasoline, Excluding Ethanol, Transportation Sector CO2 Emissions, Monthly, 01/1973 - 07/2024. Sage Data. Sage Publishing Ltd. (Dataset). Dataset-ID: 004-022-006
Creators: name: Energy Information Administration
Publisher: name: Sage Data. Sage Publishing Ltd
Year: 2024
Subjects: Carbon Dioxide Emissions (CO₂)
Electric Power
Energy Consumption
Environment
Fossil Fuels

description: Presents monthly and annual estimates of carbon dioxide (CO2) emissions in the US from energy consumption by sector and by the sources of consumption (e.g. natural gas consumption). Energy consumption is the use of energy as a source of heat or power or as a raw material input to a manufacturing process.
Trend: US Department of Energy, Energy Information Administration (2024-11-14). Energy Totals: Environmental CO2 Emissions | Carbon Dioxide Emissions From Energy Consumption: Industrial Sector | Other Petroleum Products Industrial Sector CO2 Emissions, Monthly, 01/1973 - 07/2024. Sage Data. Sage Publishing Ltd. (Dataset). Dataset-ID: 004-022-006
Creators: name: Energy Information Administration
Publisher: name: Sage Data. Sage Publishing Ltd
Year: 2024
Subjects: Carbon Dioxide Emissions (CO₂)
Electric Power
Energy Consumption
Environment
Fossil Fuels

description: Presents monthly and annual estimates of carbon dioxide (CO2) emissions in the US from energy consumption by sector and by the sources of consumption (e.g. natural gas consumption). Energy consumption is the use of energy as a source of heat or power or as a raw material input to a manufacturing process.
Trend: Energy Information Administration (2024-10-29). Energy-Related Carbon Dioxide (CO2) Emissions : CO2 Emissions by Sector – All Fuels | Transportation carbon dioxide emissions | Transportation carbon dioxide emissions, all fuels, 1970 - 2021. Sage Data. Sage Publishing Ltd. (Dataset). Dataset-ID: 004-023-001
Creators: name: Energy Information Administration
Publisher: name: Sage Data. Sage Publishing Ltd
Year: 2024
Subjects: Carbon Dioxide Emissions (CO₂)
Energy Consumption
Fuel Consumption

description: Reports the amount of carbon dioxide (CO2) released into the atmosphere from the consumption of fuels. Amounts are reported in total and by sector for the nation and states.
sj-pdf-1-pps-10.1177_17456916211072826 – Supplemental material for Leveraging the Strengths of Psychologists With Lived Experience of Psychopathology
Creators: name: Victor, Sarah E.
name: Schleider, Jessica L.
name: Ammerman, Brooke A.
name: Bradford, Daniel E.
name: Devendorf, Andrew R.
name: Gruber, June
name: Gunaydin, Lisa A.
name: Hallion, Lauren S.
name: Kaufman, Erin A.
name: Lewis, Stephen P.
name: Stage, Dese’Rae L.
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 110904 Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine
subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 110319 Psychiatry (incl. Psychotherapy)
subject: Neuroscience

description: Supplemental material, sj-pdf-1-pps-10.1177_17456916211072826 for Leveraging the Strengths of Psychologists With Lived Experience of Psychopathology by Sarah E. Victor, Jessica L. Schleider, Brooke A. Ammerman, Daniel E. Bradford, Andrew R. Devendorf, June Gruber, Lisa A. Gunaydin, Lauren S. Hallion, Erin A. Kaufman, Stephen P. Lewis and Dese’Rae L. Stage in Perspectives on Psychological Science
sj-docx-2-ems-10.1177_14690667221103227 - Supplemental material for Gas chromatography-mass spectrometric determination of organic acids by ion pair liquid extraction followed by in-situ butylation from aqua feed samples
Creators: name: Talari, Kalpana
name: Ganji, Sai Krishna
name: Mutyam, Satish
name: Tiruveedula, Raja Rajeswari
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 91299 Materials Engineering not elsewhere classified
subject: FOS: Materials engineering

description: Supplemental material, sj-docx-2-ems-10.1177_14690667221103227 for Gas chromatography-mass spectrometric determination of organic acids by ion pair liquid extraction followed by in-situ butylation from aqua feed samples by Kalpana Talari, Sai Krishna Ganji, Satish Mutyam and Raja Rajeswari Tiruveedula in European Journal of Mass Spectrometry
Trend: Energy Information Administration (2024-11-19). Electricity - Detailed: Average Retail Price of Electricity (Per Kwh) | Arizona, California, Colorado, Florida, Nevada, New Mexico, Texas, Utah, Wyoming | industrial, 01/2001 - 08/2024. Sage Data. Sage Publishing Ltd. (Dataset). Dataset-ID: 004-019-012
Creators: name: Energy Information Administration
Publisher: name: Sage Data. Sage Publishing Ltd
Year: 2024
Subjects: Electricity
Fuel Prices
Retail Prices

description: Reports average retail price of electricity by sector of use, for the United States in total, and by state and census division.
[Rezension von: [Rez. zu] Schwaiger, Clemens: Das Problem des Glücks im Denken Christian Wolffs]
Creators: name: Sala, Giovanni B.
Publisher: name: Theologie und Philosophie
Year: 1970

description: Theologie und Philosophie, Bd. 72 Nr. 1 (1997): Theologie und Philosophie, Band 72, Heft 1
Trend: Environmental Protection Agency (2024-08-13). Air Quality Metrics - Annual Summary Data: 90th Percentile Air Quality Index | Abbeville, SC, 1991 - 2017. Sage Data. Sage Publishing Ltd. (Dataset). Dataset-ID: 037-003-004
Creators: name: Environmental Protection Agency
Publisher: name: Sage Data. Sage Publishing Ltd
Year: 2024
Subjects: Air Pollution
Air Quality

description: Reports the value for which 90% of the Air Quality Index (AQI) values for the year are equal to or less than.