cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25582/data.2021-09.2342208/2094750
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342611/2094751
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341449/2094752
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341304/2094753
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341260/2094754
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341329/2094755
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342136/2094756
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342523/2094757
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341267/2094758
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342672/2094759
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2340842/2094760
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342518/2094761
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342191/2094762
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342627/2094763
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341177/2094764
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341210/2094765
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341536/2094766
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2343413/2094767
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341486/2094768
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342179/2094769
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341208/2094770
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341226/2094771
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341572/2094772
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341348/2094773
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341732/2094774
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341269/2094775
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341495/2094776
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342602/2094777
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2340832/2094778
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2343427/2094779
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341202/2094780
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342520/2094781
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341471/2094782
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341662/2094783
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341567/2094784
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2340826/2094785
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341450/2094786
title: Data for EMSL Project 51241 from September 2021
DOI: 10.5281/zenodo.10012533
title: A PREVALÊNCIA DA MALÁRIA NA AMAZONIA BRASILEIRA: REVISÃO DE LITERATURA

description: Introdução: A malária é considerada uma das doenças mais antigas do mundo e representa um desafio para a saúde pública. A doença está associada à pobreza, e sua incidência está associada a grupos vulneráveis, por isso o monitoramento da saúde e da população são de extrema importância. Objetivo: analisar por meio de uma revisão de literatura. prevalência da malária na Amazônia brasileira. Metodologia: a pesquisa trata-se de uma revisão de literatura com busca nas seguintes bases de dados: Capes, Scielo e BVS. Resultados e Discussão: De acordo com o sexo dos pacientes, a maior incidência de casos se deu no sexo masculino, foram registrados casos em todas as faixas etárias, mas com maior concentração entre os 10-30 anos. No que concerna aos casos de malária grave por P. falciparium foram registradas nas cidades da Amazônia, porém as infecções ocorrem em grande parte por P. vivax (80%), sendo inclusive este o agente etiológico prevalente na pesquisa. .Considerações. Diante das informações expostas na pesquisa, entende-se que a malária é uma doença muito perigosa cujos sintomas podem afetar os pacientes através de febre ou, num caso mais grave, levar à morte. Por isso, são necessários exames para detectar qual agente está transmitindo a doença para que o tratamento mais adequado seja iniciado. Os riscos colocados pela malária apenas aumentam a gravidade da doença e a importância das medidas preventivas e de controle.
DOI: 10.25582/data.2021-09.2342552/2094787
title: Data for EMSL Project 51241 from September 2021
DOI: 10.5281/zenodo.10012532
title: A PREVALÊNCIA DA MALÁRIA NA AMAZONIA BRASILEIRA: REVISÃO DE LITERATURA

description: Introdução: A malária é considerada uma das doenças mais antigas do mundo e representa um desafio para a saúde pública. A doença está associada à pobreza, e sua incidência está associada a grupos vulneráveis, por isso o monitoramento da saúde e da população são de extrema importância. Objetivo: analisar por meio de uma revisão de literatura. prevalência da malária na Amazônia brasileira. Metodologia: a pesquisa trata-se de uma revisão de literatura com busca nas seguintes bases de dados: Capes, Scielo e BVS. Resultados e Discussão: De acordo com o sexo dos pacientes, a maior incidência de casos se deu no sexo masculino, foram registrados casos em todas as faixas etárias, mas com maior concentração entre os 10-30 anos. No que concerna aos casos de malária grave por P. falciparium foram registradas nas cidades da Amazônia, porém as infecções ocorrem em grande parte por P. vivax (80%), sendo inclusive este o agente etiológico prevalente na pesquisa. .Considerações. Diante das informações expostas na pesquisa, entende-se que a malária é uma doença muito perigosa cujos sintomas podem afetar os pacientes através de febre ou, num caso mais grave, levar à morte. Por isso, são necessários exames para detectar qual agente está transmitindo a doença para que o tratamento mais adequado seja iniciado. Os riscos colocados pela malária apenas aumentam a gravidade da doença e a importância das medidas preventivas e de controle.
DOI: 10.25582/data.2021-09.2343389/2094788
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342128/2094789
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342487/2094790
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342203/2094791
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342422/2094792
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342443/2094793
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341664/2094794
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342074/2094795
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342447/2094796
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341761/2094797
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341735/2094798
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342142/2094799
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342586/2094800
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341690/2094801
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341797/2094802
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342402/2094803
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342417/2094804
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341199/2094805
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341233/2094806
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342143/2094807
title: Data for EMSL Project 51241 from September 2021
DOI: 10.5281/zenodo.10008220
title: Dataset (Pareto fronts and sets) for the Multi-objective pathfinding problem

description: The dataset was used in several publications. In contains global Pareto fronts and sets for various instances of the problem.
DOI: 10.25582/data.2021-09.2342392/2094808
title: Data for EMSL Project 51241 from September 2021
DOI: 10.5281/zenodo.10008219
title: Dataset (Pareto fronts and sets) for the Multi-objective pathfinding problem

description: The dataset was used in several publications. In contains global Pareto fronts and sets for various instances of the problem.
DOI: 10.25582/data.2021-09.2342453/2094809
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341432/2094810
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341490/2094811
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341645/2094812
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342181/2094813
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342673/2094814
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341216/2094815
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341311/2094816
title: Data for EMSL Project 51241 from September 2021
DOI: 10.5517/ccdc.csd.cc1nhnd6
title: CCDC 1534388: Experimental Crystal Structure Determination

description: Related Article: Jakub Grajewski, Tomasz Mądry, Marcin Kwit, Beata Warżajtis, Urszula Rychlewska, Jacek Gawronski|2017|ChemPhysChem|18|2197|doi:10.1002/cphc.201700332
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1nhnf7
title: CCDC 1534389: Experimental Crystal Structure Determination

description: Related Article: Jakub Grajewski, Tomasz Mądry, Marcin Kwit, Beata Warżajtis, Urszula Rychlewska, Jacek Gawronski|2017|ChemPhysChem|18|2197|doi:10.1002/cphc.201700332
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1nhng8
title: CCDC 1534390: Experimental Crystal Structure Determination

description: Related Article: Jakub Grajewski, Tomasz Mądry, Marcin Kwit, Beata Warżajtis, Urszula Rychlewska, Jacek Gawronski|2017|ChemPhysChem|18|2197|doi:10.1002/cphc.201700332
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25582/data.2021-09.2342399/2094817
title: Data for EMSL Project 51241 from September 2021
DOI: 10.5517/ccdc.csd.cc1nhnh9
title: CCDC 1534391: Experimental Crystal Structure Determination

description: Related Article: Jakub Grajewski, Tomasz Mądry, Marcin Kwit, Beata Warżajtis, Urszula Rychlewska, Jacek Gawronski|2017|ChemPhysChem|18|2197|doi:10.1002/cphc.201700332
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1nhnjb
title: CCDC 1534392: Experimental Crystal Structure Determination

description: Related Article: Jakub Grajewski, Tomasz Mądry, Marcin Kwit, Beata Warżajtis, Urszula Rychlewska, Jacek Gawronski|2017|ChemPhysChem|18|2197|doi:10.1002/cphc.201700332
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1nhnkc
title: CCDC 1534393: Experimental Crystal Structure Determination

description: Related Article: Jakub Grajewski, Tomasz Mądry, Marcin Kwit, Beata Warżajtis, Urszula Rychlewska, Jacek Gawronski|2017|ChemPhysChem|18|2197|doi:10.1002/cphc.201700332
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1nhnld
title: CCDC 1534394: Experimental Crystal Structure Determination

description: Related Article: Jakub Grajewski, Tomasz Mądry, Marcin Kwit, Beata Warżajtis, Urszula Rychlewska, Jacek Gawronski|2017|ChemPhysChem|18|2197|doi:10.1002/cphc.201700332
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1nhnmf
title: CCDC 1534395: Experimental Crystal Structure Determination

description: Related Article: Jakub Grajewski, Tomasz Mądry, Marcin Kwit, Beata Warżajtis, Urszula Rychlewska, Jacek Gawronski|2017|ChemPhysChem|18|2197|doi:10.1002/cphc.201700332
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1nhnng
title: CCDC 1534396: Experimental Crystal Structure Determination

description: Related Article: Jakub Grajewski, Tomasz Mądry, Marcin Kwit, Beata Warżajtis, Urszula Rychlewska, Jacek Gawronski|2017|ChemPhysChem|18|2197|doi:10.1002/cphc.201700332
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25582/data.2021-09.2342496/2094818
title: Data for EMSL Project 51241 from September 2021
DOI: 10.5517/ccdc.csd.cc22gwm2
title: CCDC 1920934: Experimental Crystal Structure Determination

description: Related Article: Justin T. Henthorn, George E. Cutsail III, Serena DeBeer|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc22gwp4
title: CCDC 1920936: Experimental Crystal Structure Determination

description: Related Article: Justin T. Henthorn, George E. Cutsail III, Serena DeBeer|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25582/data.2021-09.2341188/2094819
title: Data for EMSL Project 51241 from September 2021
DOI: 10.5517/ccdc.csd.cc29gd06
title: CCDC 2128987: Experimental Crystal Structure Determination

description: Related Article: Xue-Chun Sun, Ming-Chang Zhu, Shuang-Yan Wu, Ying Zhang, Xiao-Jue Bai|2022|ACS Appl. Nano Mater.|5|8723|doi:10.1021/acsanm.2c01975
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29hcmt
title: CCDC 2129936: Experimental Crystal Structure Determination

description: Related Article: Qiaofei Xu, Boliang Liu, Han Xu, Mingyu Ye, Lasheng Long, Lansun Zheng|2022|Sci. China Mater.|65|3171|doi:10.1007/s40843-022-2109-9
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29hcnv
title: CCDC 2129937: Experimental Crystal Structure Determination

description: Related Article: Qiaofei Xu, Boliang Liu, Han Xu, Mingyu Ye, Lasheng Long, Lansun Zheng|2022|Sci. China Mater.|65|3171|doi:10.1007/s40843-022-2109-9
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25582/data.2021-09.2341321/2094820
title: Data for EMSL Project 51241 from September 2021
DOI: 10.5517/ccdc.csd.cc29jtpc
title: CCDC 2131333: Experimental Crystal Structure Determination

description: Related Article: Ralf Einholz, Markus Stroebele, Holger Bettinger|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25582/data.2021-09.2342155/2094821
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342156/2094822
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341546/2094823
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342409/2094824
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341747/2094825
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342424/2094826
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341510/2094827
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342618/2094828
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342510/2094829
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342491/2094830
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2343393/2094831
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341388/2094832
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341520/2094833
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341636/2094834
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341326/2094835
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2341521/2094836
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342428/2094837
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342606/2094838
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2343375/2094839
title: Data for EMSL Project 51241 from September 2021
DOI: 10.25582/data.2021-09.2342085/2094840
title: Data for EMSL Project 51241 from September 2021
DOI: 10.6084/m9.figshare.22262517
title: Ethical use of Artificial Intelligence in Health Professions Education: AMEE Guide No. 158

description: Health Professions Education (HPE) has benefitted from the advances in Artificial Intelligence (AI) and is set to benefit more in the future. Just as any technological advance opens discussions about ethics, so the implications of AI for HPE ethics need to be identified, anticipated, and accommodated so that HPE can utilise AI without compromising crucial ethical principles. Rather than focussing on AI technology, this Guide focuses on the ethical issues likely to face HPE teachers and administrators as they encounter and use AI systems in their teaching environment. While many of the ethical principles may be familiar to readers in other contexts, they will be viewed in light of AI, and some unfamiliar issues will be introduced. They include data gathering, anonymity, privacy, consent, data ownership, security, bias, transparency, responsibility, autonomy, and beneficence. In the Guide, each topic explains the concept and its importance and gives some indication of how to cope with its complexities. Ideas are drawn from personal experience and the relevant literature. In most topics, further reading is suggested so that readers may further explore the concepts at their leisure. The aim is for HPE teachers and decision-makers at all levels to be alert to these issues and to take proactive action to be prepared to deal with the ethical problems and opportunities that AI usage presents to HPE.