cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23690035
title: Effects of digital-based interventions on muscular strength in adults: a systematic review, meta-analysis and meta-regression of randomized controlled trials with quality of evidence assessment

description: In the last three decades, both medical and sports science professionals have recognized the considerable potential of digital-based interventions (DBI) to enhance the health-related outcomes of their practitioners. This study aimed to investigate the effectiveness and potential moderators of DBI on measures of muscular strength. Six databases (PubMed/MEDLINE, Web of Science, SportDiscus, Embase, Cochrane Register of Controlled Trials and Google Scholar) were searched for eligible studies up to June 2022. The GRADE, PEDRO, and TIDieR checklists were used to assess the quality of evidence, methodology, and completeness of intervention descriptions, respectively. A total of 56 studies were included in the meta-analysis (<i>n</i> = 2346), and participants were classified as healthy (<i>n</i> = 918), stroke survivors (<i>n</i> = 572), diagnosed with other neurological disorders (<i>n</i> = 683), and frail (<i>n</i> = 173). The DBI showed a small effect (standardized mean difference [SMD] = 0.28, 95% CI 0.21 to 0.31; <i>p</i> &lt; 0.001) on strength, regardless of the type of intervention, control group, or tested body part. More specifically, while splitting the studies into different subgroups, a meta-analysis of 19 studies (<i>n</i> = 918) showed a small effect (SMD = 0.38, 95% CI 0.12 to 0.63; <i>p</i> = 0.003) on strength in the asymptomatic population. Similarly, small but positive effects of DBI were observed for stroke survivors (SMD = 0.34, 95% CI 0.13 to 0.56; <i>p</i> = 0.002), patients diagnosed with other neurological disorders (SMD = 0.17, 95% CI 0.03 to 0.32; <i>p</i> = 0.021), and the frail population (SMD = 0.25, 95% CI 0.0 to 0.5; <i>p</i> = 0.051). Sub-group analysis and meta-regression revealed that neither variable modified the effects of the DBI on measures of strength. Overall, DBI may serve as an effective method to improve measures of strength in adults, regardless of their health status as well as the type of digital device, the presence of human-computer interaction, and the age of participants. In addition, the DBI was found to be more effective than traditional training or rehabilitation methods.
KEY MESSAGESDigital-based intervention (DBI) is effective in improving measures of muscular strength in adults regardless of participants’ health statusDBIs were equally effective for strength improvements in lower and upper limbsAlthough, DBIs were found to be effective in improving muscular strength, most studies did not follow strength training guidelines when prescribing the interventions Digital-based intervention (DBI) is effective in improving measures of muscular strength in adults regardless of participants’ health status DBIs were equally effective for strength improvements in lower and upper limbs Although, DBIs were found to be effective in improving muscular strength, most studies did not follow strength training guidelines when prescribing the interventions
DOI: 10.6084/m9.figshare.23690035.v1
title: Effects of digital-based interventions on muscular strength in adults: a systematic review, meta-analysis and meta-regression of randomized controlled trials with quality of evidence assessment

description: In the last three decades, both medical and sports science professionals have recognized the considerable potential of digital-based interventions (DBI) to enhance the health-related outcomes of their practitioners. This study aimed to investigate the effectiveness and potential moderators of DBI on measures of muscular strength. Six databases (PubMed/MEDLINE, Web of Science, SportDiscus, Embase, Cochrane Register of Controlled Trials and Google Scholar) were searched for eligible studies up to June 2022. The GRADE, PEDRO, and TIDieR checklists were used to assess the quality of evidence, methodology, and completeness of intervention descriptions, respectively. A total of 56 studies were included in the meta-analysis (<i>n</i> = 2346), and participants were classified as healthy (<i>n</i> = 918), stroke survivors (<i>n</i> = 572), diagnosed with other neurological disorders (<i>n</i> = 683), and frail (<i>n</i> = 173). The DBI showed a small effect (standardized mean difference [SMD] = 0.28, 95% CI 0.21 to 0.31; <i>p</i> &lt; 0.001) on strength, regardless of the type of intervention, control group, or tested body part. More specifically, while splitting the studies into different subgroups, a meta-analysis of 19 studies (<i>n</i> = 918) showed a small effect (SMD = 0.38, 95% CI 0.12 to 0.63; <i>p</i> = 0.003) on strength in the asymptomatic population. Similarly, small but positive effects of DBI were observed for stroke survivors (SMD = 0.34, 95% CI 0.13 to 0.56; <i>p</i> = 0.002), patients diagnosed with other neurological disorders (SMD = 0.17, 95% CI 0.03 to 0.32; <i>p</i> = 0.021), and the frail population (SMD = 0.25, 95% CI 0.0 to 0.5; <i>p</i> = 0.051). Sub-group analysis and meta-regression revealed that neither variable modified the effects of the DBI on measures of strength. Overall, DBI may serve as an effective method to improve measures of strength in adults, regardless of their health status as well as the type of digital device, the presence of human-computer interaction, and the age of participants. In addition, the DBI was found to be more effective than traditional training or rehabilitation methods.
KEY MESSAGESDigital-based intervention (DBI) is effective in improving measures of muscular strength in adults regardless of participants’ health statusDBIs were equally effective for strength improvements in lower and upper limbsAlthough, DBIs were found to be effective in improving muscular strength, most studies did not follow strength training guidelines when prescribing the interventions Digital-based intervention (DBI) is effective in improving measures of muscular strength in adults regardless of participants’ health status DBIs were equally effective for strength improvements in lower and upper limbs Although, DBIs were found to be effective in improving muscular strength, most studies did not follow strength training guidelines when prescribing the interventions
DOI: 10.5281/zenodo.10338537
title: REVOLUTIONIZING ENGLISH TEXT TRANSLATION: TASK-BASED ACTIVITIES FOR EFFECTIVE LANGUAGE LEARNING
DOI: 10.5281/zenodo.10338536
title: REVOLUTIONIZING ENGLISH TEXT TRANSLATION: TASK-BASED ACTIVITIES FOR EFFECTIVE LANGUAGE LEARNING
DOI: 10.5281/zenodo.10338558
title: THE IMPORTANCE OF FOREIGN LANGUAGES IN THE TOURISM INDUSTRY
DOI: 10.5281/zenodo.10338559
title: THE IMPORTANCE OF FOREIGN LANGUAGES IN THE TOURISM INDUSTRY
DOI: 10.5281/zenodo.10338582
title: WORKING WEAPONS OF PRIMITIVE PEOPLE AND UNIQUE TOOLS OF THE ANCIENT PERIOD
DOI: 10.5281/zenodo.10338583
title: WORKING WEAPONS OF PRIMITIVE PEOPLE AND UNIQUE TOOLS OF THE ANCIENT PERIOD
DOI: 10.5281/zenodo.10338626
title: LEXICAL  SEMANTIC  FEATURES  OF  SPECIFIC GENDER 	AFFILIATION  IN  THE LANGUAGE COMMUNITY
DOI: 10.5281/zenodo.10338627
title: LEXICAL  SEMANTIC  FEATURES  OF  SPECIFIC GENDER 	AFFILIATION  IN  THE LANGUAGE COMMUNITY
DOI: 10.5281/zenodo.10338653
title: ANALYSIS OF LINGUISTIC ASPECTS OF ARTISTIC TRANSLATION
DOI: 10.5281/zenodo.10338654
title: ANALYSIS OF LINGUISTIC ASPECTS OF ARTISTIC TRANSLATION
DOI: 10.5281/zenodo.10338636
title: CAPITAN - Carbon cAPture vIa cemenT cArbonationN

description: LCA framework to assess the supply chain of CO2 minerlization in recycled concrete aggregate.


Deliverable of the WP2 of the DemoUpCarma research project (http://www.demoupcarma.ethz.ch/en/home/).


DemoUpCARMA is funded and supported by the Swiss Federal Office of Energy (SFOE) and the Federal Office for the Environment (FOEN).
DOI: 10.5281/zenodo.8369533
title: CAPITAN - Carbon cAPture vIa cemenT cArbonationN

description: LCA framework to assess the supply chain of CO2 minerlization in recycled concrete aggregate.


Deliverable of the WP2 of the DemoUpCarma research project (http://www.demoupcarma.ethz.ch/en/home/).


DemoUpCARMA is funded and supported by the Swiss Federal Office of Energy (SFOE) and the Federal Office for the Environment (FOEN).
DOI: 10.5281/zenodo.8369534
title: CAPITAN - Carbon cAPture vIa cemenT cArbonationN

description: LCA framework to assess the supply chain of CO2 minerlization in recycled concrete aggregate. Deliverable of the WP2 of the DemoUpCarma research project (http://www.demoupcarma.ethz.ch/en/home/). DemoUpCARMA is funded and supported by the Swiss Federal Office of Energy (SFOE) and the Federal Office for the Environment (FOEN).
DOI: 10.5281/zenodo.8382927
title: CAPITAN - Carbon cAPture vIa cemenT cArbonationN

description: LCA framework to assess the supply chain of CO2 minerlization in recycled concrete aggregate. Deliverable of the WP2 of the DemoUpCarma research project (http://www.demoupcarma.ethz.ch/en/home/). DemoUpCARMA is funded and supported by the Swiss Federal Office of Energy (SFOE) and the Federal Office for the Environment (FOEN).
DOI: 10.6084/m9.figshare.24335980
title: Ephydroidea_BayesTraits

description: The blind and wingless bee louse fly (Braula coeca) is an aberrant member of the family Drosophilidae that lives as a parasitic inquiline in the hive of the Western honey bee (Apis mellifera). The analysis of its genome identifies a case of horizontal transposon transfer and a striking parallel evolution in a set of ecologically-relevant gene families.
DOI: 10.6084/m9.figshare.24335980.v1
title: Ephydroidea_BayesTraits

description: The blind and wingless bee louse fly (Braula coeca) is an aberrant member of the family Drosophilidae that lives as a parasitic inquiline in the hive of the Western honey bee (Apis mellifera). The analysis of its genome identifies a case of horizontal transposon transfer and a striking parallel evolution in a set of ecologically-relevant gene families.
DOI: 10.6084/m9.figshare.24783195
title: Angle of repose

description: The dataset includes LIGGGHTS models (tilting board method and force-displacement method) and collected repose angle data.
DOI: 10.5281/zenodo.10338697
title: LEXICOGRAPHIC DEFINITION OF PHILOSOPHICAL CONCEPTS
DOI: 10.5281/zenodo.10338698
title: LEXICOGRAPHIC DEFINITION OF PHILOSOPHICAL CONCEPTS
DOI: 10.5281/zenodo.10338808
title: PHRASEOLOGISMS IN TRANSLATION ACTIVITY
DOI: 10.5281/zenodo.10338844
title: THE CONCEPT OF "GENDER" IN LINGUISTICS AND THE HISTORY OF THE EMERGENCE OF GENDER LINGUISTICS
DOI: 10.5281/zenodo.10338843
title: THE CONCEPT OF "GENDER" IN LINGUISTICS AND THE HISTORY OF THE EMERGENCE OF GENDER LINGUISTICS
DOI: 10.5281/zenodo.10338807
title: PHRASEOLOGISMS IN TRANSLATION ACTIVITY
DOI: 10.5281/zenodo.10338897
title: O'ZBEK TILI IZOHLI LUG'ATIDA INGLIZ TILIGA OID O'ZLASHMA SO'ZLAR
DOI: 10.5281/zenodo.10338898
title: O'ZBEK TILI IZOHLI LUG'ATIDA INGLIZ TILIGA OID O'ZLASHMA SO'ZLAR
DOI: 10.5281/zenodo.10338949
title: VERBALIZATION OF THE CONCEPT OF "SIN" IN ENGLISH DISCOURSE
DOI: 10.5281/zenodo.10338950
title: VERBALIZATION OF THE CONCEPT OF "SIN" IN ENGLISH DISCOURSE
DOI: 10.5281/zenodo.10338989
title: THE FORMATION OF GENDER CONCEPTSIN ENGLISH AND UZBEK IN THE PHRASEOLOGICAL LANDSCAPE OF THE WORLD
DOI: 10.5281/zenodo.10338990
title: THE FORMATION OF GENDER CONCEPTSIN ENGLISH AND UZBEK IN THE PHRASEOLOGICAL LANDSCAPE OF THE WORLD
DOI: 10.21227/1zjq-ea74
title: Regarding the code for “Empowering Node Representations of Graph Neural Networks by Community-Awareness”

description: Complex networks exhibit inherent community structures that contain rich topology information of graphs. Existing graph neural networks (GNNs) have not fully utilized community structures and integrating them into GNNs has the potential to enhance nodes' representation capabilities and prediction performance. In this paper, we propose a community-aware graph neural network (CAG), which designs a community subgraph explorer (CSE) that leverages monte carlo tree search (MCTS) to select the most informative subgraphs within communities. These denoised subgraphs effectively capture and reflect the structural characteristics of the communities.To discriminate node representations between communities, we introduce contrastive learning and a community-aware loss that facilitates the acquisition of structural similarities within communities while discerning differences among distinct communities. Extensive experiments demonstrate that CAG consistently improves GNNs' performance potential on node classification and achieves state-of-the-art accuracies (improved up to 3.9\%). which emphasizes the crucial role of community structures in designing and training GNNs.
DOI: 10.5281/zenodo.10339030
title: LINGUISTIC AND CULTURAL FEATURES OF THE PROPER NOUNS IN FAIRY TALES AND ITS TRANSLATION INTO RUSSIAN
DOI: 10.5281/zenodo.10339031
title: LINGUISTIC AND CULTURAL FEATURES OF THE PROPER NOUNS IN FAIRY TALES AND ITS TRANSLATION INTO RUSSIAN
DOI: 10.5281/zenodo.10339075
title: DISTINCTIVE FEATURES OF THE INSTRUCTIONS FOR USING PUBLIC TRANSPORT IN ENGLISH AND UZBEK AND THEIR TRANSLATION
DOI: 10.5281/zenodo.10339074
title: DISTINCTIVE FEATURES OF THE INSTRUCTIONS FOR USING PUBLIC TRANSPORT IN ENGLISH AND UZBEK AND THEIR TRANSLATION
DOI: 10.5517/ccdc.csd.cc2drv23
title: CCDC 2227445: Experimental Crystal Structure Determination

description: Related Article: Jacqueline C. Calderón, Alberto Herrera, Frank W. Heinemann, Jens Langer, Anthony Linden, Ahmed Chelouan, Alexander Grasruck, Rafael Añez, Timothy Clark, Romano Dorta|2023|J.Org.Chem.|88|16144|doi:10.1021/acs.joc.3c01447
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.cc2g4tdv
title: CCDC 2268747: Experimental Crystal Structure Determination

description: Related Article: Hemonta Kumar Saha, Dibyendu Mallick, Soumyajit Das|2023|J.Org.Chem.|88|16248|doi:10.1021/acs.joc.3c01719
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.cc2g4tfw
title: CCDC 2268748: Experimental Crystal Structure Determination

description: Related Article: Hemonta Kumar Saha, Dibyendu Mallick, Soumyajit Das|2023|J.Org.Chem.|88|16248|doi:10.1021/acs.joc.3c01719
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.cc2g4tgx
title: CCDC 2268749: Experimental Crystal Structure Determination

description: Related Article: Hemonta Kumar Saha, Dibyendu Mallick, Soumyajit Das|2023|J.Org.Chem.|88|16248|doi:10.1021/acs.joc.3c01719
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.cc2g4thy
title: CCDC 2268750: Experimental Crystal Structure Determination

description: Related Article: Hemonta Kumar Saha, Dibyendu Mallick, Soumyajit Das|2023|J.Org.Chem.|88|16248|doi:10.1021/acs.joc.3c01719
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.cc2gmgm6
title: CCDC 2282828: Experimental Crystal Structure Determination

description: Related Article: Rui Liu, Ting Zou, Sha Yu, Weicai Li, Siping Wei, Yimou Gong, Zhijie Zhang, Shiqi Zhang, Dong Yi|2023|J.Org.Chem.|88|16410|doi:10.1021/acs.joc.3c01936
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.cc2grck5
title: CCDC 2286577: Experimental Crystal Structure Determination

description: Related Article: Chada Raji Reddy, Ejjirotu Srinivasu, Muppidi Subbarao|2023|J.Org.Chem.|88|16485|doi:10.1021/acs.joc.3c01991
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.cc2gyp37
title: CCDC 2292639: Experimental Crystal Structure Determination

description: Related Article: Filip Kučas, Lidija Posavec, Vinko Nemec, Nikola Bedeković, Dominik Cinčić|2023|Cryst.Growth Des.|23|8482|doi:10.1021/acs.cgd.3c01055
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.cc2gyp48
title: CCDC 2292640: Experimental Crystal Structure Determination

description: Related Article: Filip Kučas, Lidija Posavec, Vinko Nemec, Nikola Bedeković, Dominik Cinčić|2023|Cryst.Growth Des.|23|8482|doi:10.1021/acs.cgd.3c01055
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.cc2gyp59
title: CCDC 2292641: Experimental Crystal Structure Determination

description: Related Article: Filip Kučas, Lidija Posavec, Vinko Nemec, Nikola Bedeković, Dominik Cinčić|2023|Cryst.Growth Des.|23|8482|doi:10.1021/acs.cgd.3c01055
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.cc2gyp6b
title: CCDC 2292642: Experimental Crystal Structure Determination

description: Related Article: Filip Kučas, Lidija Posavec, Vinko Nemec, Nikola Bedeković, Dominik Cinčić|2023|Cryst.Growth Des.|23|8482|doi:10.1021/acs.cgd.3c01055
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.cc2gyp7c
title: CCDC 2292643: Experimental Crystal Structure Determination

description: Related Article: Filip Kučas, Lidija Posavec, Vinko Nemec, Nikola Bedeković, Dominik Cinčić|2023|Cryst.Growth Des.|23|8482|doi:10.1021/acs.cgd.3c01055
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.cc2gyp8d
title: CCDC 2292644: Experimental Crystal Structure Determination

description: Related Article: Filip Kučas, Lidija Posavec, Vinko Nemec, Nikola Bedeković, Dominik Cinčić|2023|Cryst.Growth Des.|23|8482|doi:10.1021/acs.cgd.3c01055
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.cc2gyp9f
title: CCDC 2292645: Experimental Crystal Structure Determination

description: Related Article: Filip Kučas, Lidija Posavec, Vinko Nemec, Nikola Bedeković, Dominik Cinčić|2023|Cryst.Growth Des.|23|8482|doi:10.1021/acs.cgd.3c01055
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: 10.6084/m9.figshare.24310669
title: Lottery jackpot time-series

description: Historical time series data (draw date and Jackpot value) of the following lotteries:Powerball, period: 2015-2020 Mega Millions, period: 2005-2010Texas Lotto, period: 1995-2000Euromillions, period: 2012-2016United Kingdom Lottery 6/49, period: 2003-2013Canada Lottery, period: 2014-2019Romanian 6/49 lotto, period: 1998-2023Eurojackpot, period: 2014-2022
DOI: 10.5281/zenodo.10339406
title: Data for PBCNet
DOI: 10.5281/zenodo.10339407
title: Data for PBCNet
DOI: 10.6084/m9.figshare.24783273
title: 20231211_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.24783273.v1
title: 20231211_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials