cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Classification of tea specimens using novel hybrid artificial intelligence methods
Creators: name: Pławiak, Paweł
name: Maziarz, Wojciech
Publisher: name: figshare
Year: 2017
Subjects: subject: 80105 Expert Systems
subject: FOS: Computer and information sciences
subject: 80702 Health Informatics
subject: FOS: Media and communications
subject: 90399 Biomedical Engineering not elsewhere classified
subject: FOS: Medical engineering
subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology
subject: 80109 Pattern Recognition and Data Mining

description: Two innovative systems based on feed-forward and recurrent neural network used for qualitative analysis has been applied to specimens of different fruit tea. Their performance was compared against the conventional methods of artificial intelligence. The proposed systems are a combination of data preprocessing methods, genetic algorithms and Levenberg–Marquardt (LM) algorithm used for learning feed forward and recurrent neural networks. The initial weights and biases of neural networks chosen by the use of genetic algorithms were then tuned with a LM algorithm. The evaluation was made on the basis of accuracy and complexity criteria. The main advantage of the proposed systems is the elimination of the random selection of the network weights and biases resulting in the increased efficiency of the systems.
Emergence of cooperation as a result of mutation and inheritance in PD/PG-like game
Creators: name: Wójtowicz, Tomasz
name: Rzecki, Krzysztof
name: Pławiak, Paweł
name: Michał Niedźwiecki
name: Sośnicki, Tomasz
name: Smelcerz, Katarzyna
name: Wojtoń, Tomasz
name: Zbisław Tabor
Publisher: name: figshare
Year: 2017
Subjects: subject: 80709 Social and Community Informatics
subject: FOS: Media and communications

description: The approach of evolutionary games like prisoner’s dilemma, among others, is based on a consistent strategy. We propose an experimentally verified system where cooperation can arise out of two simple factors: mutation and inheritance. This system has a social dilemma property and allows each agent to set its own desired number of participants. There are two essential mechanisms: fluctuation through which mutation leads to cooperation, and natural selection which tends to promote cheaters and therefore disrupts the cooperation. It is shown in numerical simulations that the interplay between both mechanisms leads to an equilibrium and that no intentional strategies are necessary to establish and sustain cooperation. Thus, starting from a population of non-cooperating agents, natural evolution can end with a population composed of cooperating groups with the mean group size determined by the fluctuation rate and the pay-off function. A thorough analytical explanation of numerical results is provided.
An estimation of the state of consumption of a positive displacement pump based on dynamic pressure or vibrations using neural networks
Creators: name: Pławiak, Paweł
Publisher: name: figshare
Year: 2017
Subjects: subject: 80105 Expert Systems
subject: FOS: Computer and information sciences
subject: 80702 Health Informatics
subject: FOS: Media and communications
subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology
subject: 80109 Pattern Recognition and Data Mining

description: This paper describes the algorithms used to estimate the state of consumption of a pump based on dynamic pressure or vibrations. To create algorithms, the author used computational intelligence methods in the form of neural networks. In order to perform the analysis, data analysis systems were designed based on three neural networks: multilayer perceptron neural network (MLP), generalized regression neural network (GRNN) and probabilistic neural network (PNN). Processing of the input signal in the final result of the analysis consisted of several steps. First, the measurement data were preprocessed (delete constant component, normalization, standardization, reduction, fast Fourier transform (FFT), etc.), and training and test sets were prepared using the matrices with the expected system answers. The last step was the analysis, consisting of design data analysis systems based on artificial neural networks and their learning and testing. On the basis of the obtained results the effectiveness of neural networks and the methods of pre-processing of the signals applied to approximate the state of consumption of the displacement pump were evaluated. Design systems were evaluated based on accuracy (generated error) and complexity (number of parameters and training time) criteria. The main contribution of the paper is to design and compare methods for pre-processing the signal, and to design and compare the effectiveness of the three neural networks in the diagnosis consumption of a positive displacement pump.
Approximation of phenol concentration using novel hybrid computational intelligence methods
Creators: name: Pławiak, Paweł
name: Tadeusiewicz, Ryszard
Publisher: name: figshare
Year: 2017
Subjects: subject: 80105 Expert Systems
subject: FOS: Computer and information sciences
subject: 111711 Health Information Systems (incl. Surveillance)
subject: FOS: Health sciences
subject: 90399 Biomedical Engineering not elsewhere classified
subject: FOS: Medical engineering
subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology
subject: 80109 Pattern Recognition and Data Mining

description: This paper presents two innovative evolutionary-neural systems based on feed-forward and recurrent neural networks used for quantitative analysis. These systems have been applied for approximation of phenol concentration. Their performance was compared against the conventional methods of artificial intelligence (artificial neural networks, fuzzy logic and genetic algorithms). The proposed systems are a combination of data preprocessing methods, genetic algorithms and the Levenberg–Marquardt (LM) algorithm used for learning feed forward and recurrent neural networks. The initial weights and biases of neural networks chosen by the use of a genetic algorithm are then tuned with an LM algorithm. The evaluation is made on the basis of accuracy and complexity criteria. The main advantage of proposed systems is the elimination of random selection of the network weights and biases, resulting in increased efficiency of the systems.
title: ADCO, Grènetier de Cîteaux : comptes (1497-1504) (11 H 1172), f. 00371
Creators: name: de la Côte-d'Or, Archives départementales
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CBMA/CG21/F.PETOT/2019
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris
subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: comptes

description: Grènetier de Cîteaux : comptes (1497-1504), Archives départementales de la Côte-d'Or, (11 H 1172). Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Grènetier de Cîteaux : comptes (1497-1504), Archives départementales de la Côte-d'Or, (11 H 1172), f. 00371, in Projet CBMA - Corpus Burgundiae Medii Aevi \[Ressource en ligne\], https:// manuscrits.cbma-project.eu/
description: Provenance: abbaye de Cîteaux
description: Provenance: http://www.wikidata.org/entity/Q843261
description: Provenance: https://www.geonames.org/3024876
description: Provenance: http://www.idref.fr/030974844/id
description: Provenance: https://catalogue.bnf.fr/ark:/12148/cb12228351v
Approximation of Phenol Concentration Using Computational Intelligence Methods Based on Signals From the Metal-Oxide Sensor Array
Creators: name: Pławiak, Paweł
name: Rzecki, Krzysztof
Publisher: name: figshare
Year: 2017
Subjects: subject: 80105 Expert Systems
subject: FOS: Computer and information sciences
subject: 80702 Health Informatics
subject: FOS: Media and communications
subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology
subject: 80109 Pattern Recognition and Data Mining
subject: 90399 Biomedical Engineering not elsewhere classified
subject: FOS: Medical engineering

description: Computational intelligence methods achieve high efficiency in the analysis of multidimensional data from e-nose, the equivalent of the human sense of smell. This paper presents and compares selected and applied to approximations of five concentration levels of phenol algorithms. The measured responses of an array of 18 semiconductor gas sensors formed input vectors used for further analysis. The initial data processing consisted of standardization, principal component analysis, data normalization, and reduction. Nine systems based on soft computing can be divided into single method systems using neural networks, fuzzy systems, and hybrid systems like evolutionary-neural, neuro-fuzzy, and evolutionary-fuzzy. All the presented systems were evaluated based on accuracy (errors generated) and complexity (number of parameters and training time) criteria. A method of forming input data vector by aggregation of the first three principal components is also presented. The key contribution is applying and comparing nine CI techniques for estimating phenol concentration based on signals from metal-oxide sensor array.
The Dynamics of the Distribution of co-authors
Creators: name: Wójtowicz, Tomasz
name: Rzecki, Krzysztof
name: Pławiak, Paweł
name: Michał Niedźwiecki
name: Sośnicki, Tomasz
name: Wojtoń, Tomasz
name: Smelcerz, Katarzyna
name: Zbisław Tabor
Publisher: name: figshare
Year: 2017
Subjects: subject: 80709 Social and Community Informatics
subject: FOS: Media and communications

description: In the present paper, the case of a database of scientific articles is described. There can be observed the quantitative effects of the increasing strength of cooperation between scholars. It is manifested in time-related features changes of the numbers distribution of a single co-authors’ article. The distribution of the number of co-authors of an article recorded in the database evolves with time from a profile with no more than one author to a profile with several authors. A social dilemma model is proposed to explain the dynamics of changes in the distribution of the number of co-authors. The most successful strategy of the three considered alternative strategies of cooperation is selected.
Host-guest complexation between simple pillar[5]arene and a new type of neutral guests
Creators: name: Yan, Xin
name: Guo, Hao
name: Cen, Moupan
name: Huang, Youyou
name: Zhou, Lin
name: Zhu, Guohua
name: Yao, Yong
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Biochemistry
subject: Physiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: Cancer

description: Pillar[5]arenes are a new type of supramolecular hosts constructed from hydroquinone and their derivatives linked by methylene units. Searching new host-guest interaction between pillar[5]arenes and neutral guests are thus great interesting. Here, four neutral guests (AA0, AA2, AA4 and AA6) with both amino and amide groups were prepared from phenol by two steps. The host-guest interactions between perethylated pillar[5]arene (EtP5) and guest molecules were investigated in detail by various technologies, including 1H NMR, 13C NMR, 2D NOESY NMR, MS analysis and DFT calculation. We found that the guests (AA4 and AA6) with longer alkyl chain can form a stable inclusion complex with EtP5 through C–H···O, N–H···O, C–H···N and C–H···π interactions while shorter guests (AA0 and AA2) could not.
Hand Body Language Gesture Recognition Based on Signals From Specialized Glove and Machine Learning Algorithms
Creators: name: Pławiak, Paweł
name: Sośnicki, Tomasz
name: Michał Niedźwiecki
name: Zbisław Tabor
name: Rzecki, Krzysztof
Publisher: name: figshare
Year: 2017
Subjects: subject: 80105 Expert Systems
subject: FOS: Computer and information sciences
subject: 80702 Health Informatics
subject: FOS: Media and communications
subject: 90399 Biomedical Engineering not elsewhere classified
subject: FOS: Medical engineering
subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology
subject: 80109 Pattern Recognition and Data Mining

description: The man-machine interface (MMI) is one of the most exciting areas of contemporary research. To make the MMI as convenient for a human as possible, it is desirable that efficient algorithms for recognizing body language are developed. This paper presents a system for quick and effective recognition of gestures of hand body language, based on data from a specialized glove equipped with ten sensors. In the experiment, 10 people performed 22 hand body language gestures. Each of the 22 gestures was executed 10 times. Collected data were preprocessed in multiple ways and three machine learning algorithms were designed based on classifiers (probabilistic neural network, support vector machine, and k-nearest neighbors algorithm) trained and tested by a tenfold cross-validation technique. The best designed classifiers gained effectiveness of gesture recognition at κ = 98.24% with a very short time of testing, below 1 ms. The experiments confirm that efficient and quick recognition of hand body language is possible.
Additional file 1 of Health education services utilization and its determinants among migrants: a cross-sectional study in urban-rural fringe areas of Beijing, China
Creators: name: Shao, Shuang
name: Zhang, Huirong
name: Chen, Xiaolei
name: Xu, Xiaojingyuan
name: Zhao, Yali
name: Wang, Meirong
name: Du, Juan
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Environmental Sciences not elsewhere classified
subject: Cancer
subject: Science Policy

description: Additional file 1.
Lettre de Jean-François Nicolas à Jean-François Séguier, 1777-07-09
Creators: name: Nicolas, Jean-François
name: Jean-François Nicolas
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2021
Subjects: Sciences naturelles (général)
Recommandation

description: [transcription] [Nicolas]

à Grenoble le 9 juillet 1777

Monsieur et très cher confrère

M. Brette le plus intelligent et le plus honnête de nos libraires va à la foire de Beaucaire et à Nismes où il aura l'honneur de vous voir. Il vient de m'apprendre cette nouvelle, et je l'ai prié de vous porter quelques morceaux de notre mine d'Allemont. J'ai sçu par lui que l'empereur philosophe arrivant à Nismes s'étoit empressé de vous entretenir. Cette action lui fait un honneur infini et prouve son discernement.

Notre intendant n'arrivera que la semaine prochaine. L'inconstance de la saison arrêtera peut-être l'exécution du projet dont j'avois eu l'honneur de vous parler. Ce sera à mon grand regret, puisqu'il me privera de l'avantage de vous faire ma cour.

Comme je suis pressé par le départ de M. Brette, je n'ai que le temps de vous annoncer deux observations que vous recevrez sous peu de tems. L'une sur 14 lombricaux long de dix à 12 pouces rendus par le méat urinaire; l'autre sur plusieurs sortes d'insectes rendus après deux tenia, par la même personne.

M. Brette vous paroitra ce qu'il est effectivement; sa figure annonce la candeur et la droiture: j'ai l'honneur de vous le recommander. Je vous serois bien obligé, si vous vous trouviez à voir [v] des priapolites des environs de Castres, de lui en remettre un pour M. le commandeur De Sayve et l'autre pour moi.

Le tems est ici d'une inconstance singulière: nous ne pouvons plus compter sur nos baromètres: en vérité, je ne sçai où j'en suis. Mes observations météorologiques paroitront ridicules et controuvées dans des tems éloignés, si jamais elles sortent du portefeuille de la société royale de médecine.

J'ai l'honneur d'être avec le plus tendre attachement

Monsieur et cher confrère

Votre très humble et très obéissant serviteur

Nicolas

[enveloppe]

à Monsieur

Monsieur Séguier secrétaire

perpétuel de l'académie de Nismes

à Nismes
description: [personnes citées] Société royale de médecine (Paris), commandeur de Saive, empereur Joseph II, François Brette
description: Source: [lieu de Conservation] Grenoble, Bibliothèque municipale [cote]ms. 6210, lettre 10
title: ADCO, Cartulaire général de Cîteaux, dit de Jean de Cirey, (XVe siècle), tome VI, Cart. 190 (11 H 75), 316 folios, f. 0298r
Creators: name: de la Côte d'Or, Archives départementales
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CG21/F.PETOT/2012
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: cartulaire
subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris

description: Cartulaire général de Cîteaux, dit de Jean de Cirey, (XVe siècle), tome VI, Archives départementales de la Côte-d'Or, Cart. 190 (11 H 75), 316 folios, f. 0298r, Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Cartulaire général de Cîteaux, dit de Jean de Cirey, (XVe siècle), tome VI, Archives départementales de la Côte-d'Or, Cart. 190 (11 H 75), 316 folios, f. 0298r, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https:// manuscrits.cbma-project.eu/
description: Provenance: abbaye de Cîteaux
description: Provenance: http://www.wikidata.org/entity/Q843261
description: Provenance: https://www.geonames.org/3024876
description: Provenance: http://www.idref.fr/030974844/id
description: Provenance: https://catalogue.bnf.fr/ark:/12148/cb12228351v
Novel genetic ensembles of classifiers applied to myocardium dysfunction recognition based on ECG signals
Creators: name: Pławiak, Paweł
Publisher: name: figshare
Year: 2017
Subjects: subject: 80105 Expert Systems
subject: FOS: Computer and information sciences
subject: 80702 Health Informatics
subject: FOS: Media and communications
subject: 90399 Biomedical Engineering not elsewhere classified
subject: FOS: Medical engineering
subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology
subject: 80109 Pattern Recognition and Data Mining

description: This article presents an innovative genetic ensembles of classifiers applied to classification of cardiac disorders (17 classes) based on electrocardiography (ECG) signal analysis.From a social point of view, it is extremely important to prevent heart diseases, which are the most common cause of death worldwide. According to statistical data, 50 million people are at risk for cardiac diseases worldwide.This research collected 744 fragments of ECG signals from the MIT-BIH Arrhythmia database for one lead, MLII, from 29 patients. Novel methodology that consisted of the analysis of longer (10-s) fragments of the ECG signal was used (an average of 13 times less classifications). To enhance the characteristic features of the ECG signal, the power spectral density was estimated (using Welchs method and a discrete Fourier transform). In research designed two genetic ensembles of classifiers optimized: by classes and by sets, based on: SVM classifier, 10-fold cross-validation method, ensemble learning, layered learning, genetic selection of features (frequency components), genetic optimization of classifiers parameters and novel genetic training (selection of experts votes) used to combining classifiers.The best genetic ensemble of classifiers optimized by sets, obtained a classification sensitivity of 17 heart disorders (classes) at a level of 91.40% (64 errors per 744 classifications, accuracy = 98.99%, specificity = 99.46%, time for classification of one sample = 0.0186 [s]). Against the background of the current scientific literature, these results represent some of the best results obtained.
Person Recognition Based on Touch Screen Gestures using Computational Intelligence Methods
Creators: name: Rzecki, Krzysztof
name: Pławiak, Paweł
name: Michał Niedźwiecki
name: Sośnicki, Tomasz
name: Leśkow, Jacek
name: Ciesielski, Maciej
Publisher: name: figshare
Year: 2017
Subjects: subject: 80105 Expert Systems
subject: FOS: Computer and information sciences
subject: 80702 Health Informatics
subject: FOS: Media and communications
subject: 90399 Biomedical Engineering not elsewhere classified
subject: FOS: Medical engineering
subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology
subject: 80109 Pattern Recognition and Data Mining

description: Biometrics is based on the analysis of biometric features and is usually used for person recognition. In this article we analyze biometric features related to touch screen gestures. The proposed approach to person identification has a great application potential due to the popularity of mobile devices, so research in this area will be an important direction of technological development. The aims of this research are to design and build a data acquisition system to collect surveys resulting from the execution of single finger gestures on a mobile device screen and to propose data preprocessing procedure and to indicate the best classification method for person recognition based on these surveys. The experiment with fifty persons, nine gestures and ten repetitions was performed, so 4 500 surveys acquired and analyzed within the developed system. Depending on the classification method the accuracy of the task of gesture-based person recognition was in the range from 96.60% to 99.29%. All the patterns, which achieved the highest performance in terms of the typical performance measures consist of a single connected movement of a finger over the touch screen. The patterns which include multiple disconnected segments and/or taps are less successful in the task of recognizing people.
Additional file 8 of Genome-wide association studies detects candidate genes for wool traits by re-sequencing in Chinese fine-wool sheep
Creators: name: Zhao, Hongchang
name: Guo, Tingting
name: Lu, Zengkui
name: Liu, Jianbin
name: Zhu, Shaohua
name: Qiao, Guoyan
name: Han, Mei
name: Yuan, Chao
name: Wang, Tianxiang
name: Li, Fanwen
name: Zhang, Yajun
name: Hou, Fujun
name: Yue, Yaojing
name: Yang, Bohui
Publisher: name: figshare
Year: 2021
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 8: Fig. S2. The LD decay of the four fine-wool sheep breeds.
Person Recognition Based on Touch Screen Gestures using Computational Intelligence Methods
Creators: name: Rzecki, Krzysztof
name: Pławiak, Paweł
name: Michał Niedźwiecki
name: Sośnicki, Tomasz
name: Leśkow, Jacek
name: Ciesielski, Maciej
Publisher: name: figshare
Year: 2017
Subjects: subject: 80105 Expert Systems
subject: FOS: Computer and information sciences
subject: 80702 Health Informatics
subject: FOS: Media and communications
subject: 90399 Biomedical Engineering not elsewhere classified
subject: FOS: Medical engineering
subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology

description: Biometrics is based on the analysis of biometric features and is usually used for person recognition. In this article we analyze biometric features related to touch screen gestures. The proposed approach to person identification has a great application potential due to the popularity of mobile devices, so research in this area will be an important direction of technological development. The aims of this research are to design and build a data acquisition system to collect surveys resulting from the execution of single finger gestures on a mobile device screen and to propose data preprocessing procedure and to indicate the best classification method for person recognition based on these surveys. The experiment with fifty persons, nine gestures and ten repetitions was performed, so 4 500 surveys acquired and analyzed within the developed system. Depending on the classification method the accuracy of the task of gesture-based person recognition was in the range from 96.60% to 99.29%. All the patterns, which achieved the highest performance in terms of the typical performance measures consist of a single connected movement of a finger over the touch screen. The patterns which include multiple disconnected segments and/or taps are less successful in the task of recognizing people.
Swarm and Evolutionary Computation.pdf
Creators: name: Pławiak, Paweł
Publisher: name: figshare
Year: 2017
Subjects: subject: 80105 Expert Systems
subject: FOS: Computer and information sciences
subject: 80702 Health Informatics
subject: FOS: Media and communications
subject: 90399 Biomedical Engineering not elsewhere classified
subject: FOS: Medical engineering

description: This article presents an innovative genetic ensembles of classifiers applied to classification of cardiac disorders (17 classes) based on electrocardiography (ECG) signal analysis.From a social point of view, it is extremely important to prevent heart diseases, which are the most common cause of death worldwide. According to statistical data, 50 million people are at risk for cardiac diseases worldwide.This research collected 744 fragments of ECG signals from the MIT-BIH Arrhythmia database for one lead, MLII, from 29 patients. Novel methodology that consisted of the analysis of longer (10-s) fragments of the ECG signal was used (an average of 13 times less classifications). To enhance the characteristic features of the ECG signal, the power spectral density was estimated (using Welchs method and a discrete Fourier transform). In research designed two genetic ensembles of classifiers optimized: by classes and by sets, based on: SVM classifier, 10-fold cross-validation method, ensemble learning, layered learning, genetic selection of features (frequency components), genetic optimization of classifiers parameters and novel genetic training (selection of experts votes) used to combining classifiers.The best genetic ensemble of classifiers optimized by sets, obtained a classification sensitivity of 17 heart disorders (classes) at a level of 91.40% (64 errors per 744 classifications, accuracy = 98.99%, specificity = 99.46%, time for classification of one sample = 0.0186 [s]). Against the background of the current scientific literature, these results represent some of the best results obtained.
From Archives to Participatory Recordkeeping: Transforming recordkeeping design for interoperability
Creators: name: GREGORY ROLAN
Publisher: name: Monash University
Year: 2017
Subjects: subject: Information Systems
subject: FOS: Computer and information sciences

description: Structural problems in recordkeeping and archives has led to the disenfranchisement of many from their records. This thesis presents a transformative design for recordkeeping systems that facilitates rights in records and recordkeeping - known as participatory recordkeeping. The design comprises an articulation of requirements for participatory recordkeeping along with new functional and conceptual models. A proof-of-concept system demonstrates how participants can exercise agency in their records and recordkeeping. This design has significant implications for recordkeeping theory and practice.
Supplementary materials for "Association between per- and polyfluoroalkyl substance exposures and thyroid homeostasis parameters"
Creators: name: Yu, Xinwen
name: Liu, Yufei
name: Wang, Meiying
name: Jia, Peng
name: Yang, Shuo
name: Sun, Fei
name: Jin, Yuxin
name: Wang, Xin
name: Guo, Zixin
name: Zhao, Guohong
name: Gao, Bin
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 320208
subject: Endocrinology

description: Prevailing studies have shown the disruption effect of per- and polyfluoroalkyl substances (PFAS) on thyroid homeostasis. However, most studies focused on individual thyroid hormones. Therefore, this study was aimed to explore the associations between PFAS exposures and thyroid homeostasis parameters. A total of 2386 adults from NHANES (2007-2008 and 2011-2012) were included. Thyroid homeostasis parameters included central and peripheral thyroid hormone sensitivity, calculated by thyroid hormones. Multivariable survey-weighted linear regressions were performed to determine the association between PFAS exposure and thyroid homeostasis parameters. The weighted quantile sum (WQS) and the quantile g-computation (QGC) models were used to estimate the mixed effects of co-exposures to PFAS.
title: ADCO, Cart. 186 (11 H 71), f. 0208r
Creators: name: de la Côte d'Or, Archives départementales
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CBMA/CG21/F.PETOT/2012
name: Petot, Frédéric
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris
subject: cartulaire

description: Cartulaire général de Cîteaux, dit de Jean de Cirey, t. II (XVe siècle), tome II, Archives départementales de la Côte-d'Or, C
art. 186 (11 H 71). Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Cartulaire général de Cîteaux, dit de Jean de Cirey, t. II (XVe siècle), tome II, Archives départementales de la
 Côte-d'Or, Cart. 186 (11 H 71), f. 0208r, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https://manuscrits.cbma-
project.eu/
description: Provenance: https://www.geonames.org/3024876
description: Provenance: http://www.idref.fr/030974844/id
description: Provenance: https://catalogue.bnf.fr/ark:/12148/cb12228351v
description: Provenance: abbaye de Cîteaux
description: Provenance: http://www.wikidata.org/entity/Q843261
title: ADCO, Cart. 186 (11 H 71), f. 0131r
Creators: name: de la Côte d'Or, Archives départementales
name: Petot, Frédéric
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CBMA/CG21/F.PETOT/2012
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris
subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: cartulaire

description: Cartulaire général de Cîteaux, dit de Jean de Cirey, t. II (XVe siècle), tome II, Archives départementales de la Côte-d'Or, C
art. 186 (11 H 71). Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Cartulaire général de Cîteaux, dit de Jean de Cirey, t. II (XVe siècle), tome II, Archives départementales de la
 Côte-d'Or, Cart. 186 (11 H 71), f. 0131r, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https://manuscrits.cbma-
project.eu/
description: Provenance: abbaye de Cîteaux
description: Provenance: http://www.wikidata.org/entity/Q843261
description: Provenance: https://www.geonames.org/3024876
description: Provenance: http://www.idref.fr/030974844/id
description: Provenance: https://catalogue.bnf.fr/ark:/12148/cb12228351v
Association between per- and polyfluoroalkyl substance exposures and thyroid homeostasis parameters
Creators: name: Yu, Xinwen
name: Liu, Yufei
name: Wang, Meiying
name: Jia, Peng
name: Yang, Shuo
name: Sun, Fei
name: Jin, Yuxin
name: Wang, Xin
name: Guo, Zixin
name: Zhao, Guohong
name: Gao, Bin
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 320208
subject: Endocrinology

description: Prevailing studies have shown the disruption effect of per- and polyfluoroalkyl substances (PFAS) on thyroid homeostasis. However, most studies focused on individual thyroid hormones. Therefore, this study was aimed to explore the associations between PFAS exposures and thyroid homeostasis parameters. A total of 2386 adults from NHANES (2007-2008 and 2011-2012) were included. Thyroid homeostasis parameters included central and peripheral thyroid hormone sensitivity, calculated by thyroid hormones. Multivariable survey-weighted linear regressions were performed to determine the association between PFAS exposure and thyroid homeostasis parameters. The weighted quantile sum (WQS) and the quantile g-computation (QGC) models were used to estimate the mixed effects of co-exposures to PFAS.
Investigating Teacher Change Through Professional Learning Around the Teaching of Primary Mathematics
Creators: name: PAULINE ROGERS
Publisher: name: Monash University
Year: 2017
Subjects: Education

description: This research reports on a teacher professional learning intervention conducted in mathematics classrooms in a regional primary school. The aim of the research is to identify a teacher professional learning model that can be used as a vehicle for teacher change; and to explore the potential implications of using the model to lead change in teacher practice. This research in teacher professional learning found three main influences on teacher change. The first is the structure of the intervention itself, the second is the principal and the third influence is the on-going nature of the experience on site at the school.
Production of biodiesel from waste cooking oil using MgMoO4-supported TiO2 as a heterogeneous catalyst
Creators: name: M. Karthikeyan
name: S. Renganathan
name: G. Baskar
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Science Policy

description: Energy importers globally are gradually increasing. The maximum demand is for energy sources, especially for crude products. Biodiesel is eco-friendly and it is derived from vegetable oil, animal fat, waste cooking oil, and nonedible oil. In this study, waste cooking oil was used to make biodiesel with the help of a heterogeneous catalyst. Titanium dioxide doped with magnesium molybdate was used as a heterogeneous catalyst to make biodiesel by the alcohol mixture using the ultrasonication technique at 610°C for 4 h. The catalysts were characterized by X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), Thermogravimetric analysis (TGA), and Energy-dispersive X-ray spectroscopy (EDAX) analysis.
Supramolecular fluorescence sensor array based on calixarenes for discrimination of nucleotides and their phosphate derivatives
Creators: name: Lin, Yi-Lin
name: Tian, Jia-Hong
name: Chen, Shi-Lin
name: Tian, Han-Wen
name: Chen, Fang-Yuan
name: Ma, Rong
name: Hu, Xin-Yue
name: Xie, Hong-Xiang
name: Guo, Dong-Sheng
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Biochemistry
subject: Space Science
subject: Microbiology
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Mental Health
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology

description: Nucleotides and their derivatives are vital biomarkers that play essential roles in biochemical reactions and influence processes of metabolism and anabolism. However, discriminating between various structurally similar nucleotides and their phosphate derivatives using convenient means still poses a challenge. Here, we designed a supramolecular fluorescence sensor array constructed with four different calixarenes loaded with dyes to discriminate between nucleotides and their phosphate derivatives. Based on the differences in the ability of calixarenes to recognise various nucleotides and nucleotide phosphates, a unique fluorescence response pattern is generated for each analyte. With the assistance of linear discriminant analysis, the discrimination of target analytes is effectively achieved. Subsequent assays involving various concentrations of nucleoside triphosphates and mixtures of nucleotide phosphates have also verified the potential of this sensor array based on calixarenes in the investigation of nucleotides.
Synthesis and anticancer activity of some novel benzothiazole-thiazolidine derivatives
Creators: name: Osmaniye, Derya
name: Levent, Serkan
name: Cankız Mina Ardıç
name: Atlı, Özlem
name: Özkay, Yusuf
name: Kaplancıklı, Zafer Asım
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Pharmacology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Cancer
subject: Hematology

description: Sixteen new 2-(benzothiazol-2-ylthio)-N′-(3-substituted-4-(3,4-substitutedphenyl)thiazol-2(3H)-ylidene)acetohydrazide derivatives (4a-4p) were synthesized. The structures of the synthesized compounds were elucidated using FT-IR, 1H-NMR, 13C-NMR, and HRMS spectral data. Anticancer activity of the compounds 4a-4p against C6 (rat brain glioma) and A549 (human lung adenocarcinoma) cell lines was evaluated by using MTT, inhibition of DNA synthesis, and flow cytometric analysis assays. According to MTT assay, 4a and 4d were found to be the most active compounds against C6 cell line with an IC50 value of 0.03 mM. Moreover, IC50 values of 4a (0.2 mM) and 4d (0.1 mM) against NIH3T3 (mouse embryo fibroblast cell line) were higher than their IC50 values (0.03 mM) against C6 cell line. Accordingly, selectivity of compound 4a against C6 cell line was two-fold higher than that of compound 4d. Flow cytometry analysis showed that these compounds display anticancer activity by inducing apoptosis. As a result, compound 4a has a remarkable anticancer activity and a good selectivity towards C6 cell lines.
Quantitative weight of evidence assessment of higher-tier studies on the toxicity and risks of neonicotinoids in honeybees. 2. Imidacloprid
Creators: name: Stephenson, Gladys L
name: Solomon, Keith R
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Medicine
subject: Cell Biology
subject: Pharmacology
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: FOS: Biological sciences

description: A quantitative weight of evidence (QWoE) methodology was used to assess higher-tier studies on the effects of imidacloprid (IMI) on honeybees. Assessment endpoints were population size and viability of commercially managed bees and quantity of hive products. A colony-level no-observed-adverse effect concentration (NOAEC) of 25 µg IMI/kg syrup, equivalent to an oral no-observed-adverse-effect-dose of 7.3 ng/bee/d for all responses, was measured. The overall weight of evidence indicates that there is minimal risk to honeybees from exposure to IMI from its use as a seed treatment. Exposures via dusts from currently used seed coatings present a de minimis risk to honeybees when the route of exposure is via uptake in plants that are a source of pollen or nectar for honeybees. There were few higher-tier observational (ecoepidemiological) studies conducted with IMI. Considering all lines of evidence, the quality of the studies included in this analysis was variable, but the results of the studies were consistent and point to the same conclusion – that IMI had no adverse effects on viability of the honeybee colony. Thus, the overall conclusion is that IMI, as currently used as a seed treatment and with good agricultural practices, does not present a significant risk to honeybees at the level of the colony.
title: ADCO, Premier cartulaire de Saint-Étienne de Dijon (XIIe siècle), Cart. 21 (G 125), 71 folios, f. 00066
Creators: name: de la Côte d'Or, Archives départementales
name: CG21/F.PETOT/2015
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: cartulaire
subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris

description: Premier cartulaire de Saint-Étienne de Dijon (XIIe siècle), Archives départementales de la Côte-d'Or, Cart. 21 (G 125), 71 folios, f. 00066, Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Premier cartulaire de Saint-Étienne de Dijon (XIIe siècle), Archives départementales de la Côte-d'Or, Cart. 21 (G 125), 71 folios, f. 00066, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https://manuscrits.cbma-project.eu/
description: Provenance: abbaye Saint-Étienne de Dijon
description: Provenance: http://www.wikidata.org/entity/Q15945019
Is the Hyporheic Zone Relevant beyond the Scientific Community?
Creators: name: Lewandowski, Jörg
name: Arnon, Shai
name: Banks, Eddie
name: Batelaan, Okke
name: Betterle, Andrea
name: Broecker, Tabea
name: Coll, Claudia
name: Drummond, Jennifer D.
name: Garcia, Jaime Gaona
name: Wolke, Philipp
Publisher: name: Freie Universität Berlin
Year: 2019
Subjects: subject: hyporheic zone
subject: hyporheic exchange flow
subject: surface water–groundwater exchange
subject: ecosystem services
subject: nutrient turnover
subject: refuge
subject: hyporheos
subject: removal of trace organic compounds
subject: emerging pollutants
subject: self-purification capacity
subject: 500 Naturwissenschaften und Mathematik::500 Naturwissenschaften::500 Naturwissenschaften und Mathematik

description: Rivers are important ecosystems under continuous anthropogenic stresses. The hyporheic zone is a ubiquitous, reactive interface between the main channel and its surrounding sediments along the river network. We elaborate on the main physical, biological, and biogeochemical drivers and processes within the hyporheic zone that have been studied by multiple scientific disciplines for almost half a century. These previous efforts have shown that the hyporheic zone is a modulator for most metabolic stream processes and serves as a refuge and habitat for a diverse range of aquatic organisms. It also exerts a major control on river water quality by increasing the contact time with reactive environments, which in turn results in retention and transformation of nutrients, trace organic compounds, fine suspended particles, and microplastics, among others. The paper showcases the critical importance of hyporheic zones, both from a scientific and an applied perspective, and their role in ecosystem services to answer the question of the manuscript title. It identifies major research gaps in our understanding of hyporheic processes. In conclusion, we highlight the potential of hyporheic restoration to efficiently manage and reactivate ecosystem functions and services in river corridors. View Full-Text
The use of the automated digital zenith camera system in Istanbul for the determination of astrogeodetic vertical deflection
Creators: name: Albayrak, Muge
name: Halicioglu, Kerem
name: Ozludemir, Mustafa Tevfik
name: Basoglu, Burak
name: Deniz, Rasim
name: Tyler, Allison R. B.
name: Aref, Mohammed Mohseni
Publisher: name: Freie Universität Berlin
Year: 2019
Subjects: subject: Vertical deflections
subject: Astrogeodetic Measurement
subject: Geodetic instrumentation
subject: Digital zenith camera system
subject: QDaedalus
subject: Accuracy and precision
subject: 500 Naturwissenschaften und Mathematik::510 Mathematik::510 Mathematik

description: The Digital Zenith Camera Systems (DZCSs) are dedicated astrogeodetic instruments used to obtain highly accurate astrogeodetic vertical deflection (VD) data. The first Turkish DZCS, the Astrogeodetic Camera System (ACSYS), was developed in Istanbul, Turkey in 2015. The ACSYS was capable of determining astrogeodetic VDs with an accuracy of ~0.3 arcseconds. However, it had some limitations in observation duration: because of the semi-automated mechanical design, levelling the system towards zenith was a time-consuming process. Since 2016, the ACSYS has been modernized through system upgrades and new technological components. In this paper, we describe the instrument design of the new DZCS-ACSYS2-observation procedures, evaluation of the test data and calculations of these data. The preliminary ACSYS2 astrogeodetic test observations were conducted at Istanbul Technical University (ITU) test station. The standard deviation results of the repeated observations reveal a VD measurement precision of ~0.3 arcseconds for both the North-South and East-West components. To investigate the accuracy of the system, a lightweight total station based-geodetic system-QDaedalus-was also used at the ITU test station. The comparison of the VDs data between ACSYS2 and QDaedalus system shows that the ACSYS2 can produce reliable VDs data.
title: Analysis of Lunar Basalt Flows in Oceanus Procellarum Using Clementine Data
Creators: name: Jackson, Noel William
Publisher: name: Old Dominion University
publisherIdentifier: https://ror.org/04zjtrb98
publisherIdentifierScheme: ROR
Year: 1999

description: Remote sensing analyses of data set taken by Clementine in 1994 permit new observations about mineral distribution on the lunar surface, basalt flow stratigraphy, and thus the geologic evolution of the Moon. The northern section of Oceanus Procellarum contains numerous impact craters which penetrated the basalt and thus can be used as natural probes to estimate the number and thicknesses of flows.

I constructed a mosaic taken in three frequencies ( 415 nm, 750 nm, 950 nm), and a Ratio Image (750/415 = red, 750/950 = green, 415/750 = blue). On such an image, red indicates the iron-poor mature highland regolith and titanium-poor basalts; green, freshly exposed mafic surfaces; blue, titanium-rich basalts and immature (freshly exposed) highland regolith. Use of the iron mapping algorithm developed by Lucey et al. (1996) produced an Iron Image needed to identify the basalt strata exposed on crater walls.

These images show that basalt flows in Oceanus Procellarum change in composition over time and that different basalt layers can be correlated over large areas based on their composition. The northern portion of the mare contains widespread titanium-rich mare basalt and is bounded on the West by highland that is covered by anorthositic regolith. In eastern Oceanus Procellarum, the large craters ' expose at least two basalt flows greater than 1 kilometre thick; a titanium-rich surface unit is underlain by a titanium-poor unit that itself is underlain by anorthositic basement. The western portion of the study area is covered by the titanium-poor basalt except where anorthosite crust protrudes or where craters punctured through to anorthosite basement. The titanium-rich basalts are estimated to be approximately 1 billion years old and the titanium-poor basalts, 3.3 billion years old. In northern Oceanus Procellarum (area of 525,000 square kilometres), the volume of basalt exceeds 240,000 cubic kilometres.