Expression of Concern: Application of extreme learning machine for prediction of aqueous solubility of carbon dioxide
The Editors-in-Chief of Environmental Earth Sciences are issuing an editorial expression of concern to alert readers that this article [1] shows evidence of substantial text overlap (most notably with the article cited [2]) and authorship manipulation. None of the authors responded to correspondence...
Gespeichert in:
| Veröffentlicht in: | Environmental earth sciences 2020-06, Vol.79 (12), Article 301 |
|---|---|
| Hauptverfasser: | , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | 12 |
| container_start_page | |
| container_title | Environmental earth sciences |
| container_volume | 79 |
| creator | Mohammadian, Erfan Motamedi, Shervin Shamshirband, Shahaboddin Hashim, Roslan Junin, Radzuan Roy, Chandrabhushan Azdarpour, Amin |
| description | The Editors-in-Chief of Environmental Earth Sciences are issuing an editorial expression of concern to alert readers that this article [1] shows evidence of substantial text overlap (most notably with the article cited [2]) and authorship manipulation. None of the authors responded to correspondence about this editorial expression of concern. |
| doi_str_mv | 10.1007/s12665-020-09031-1 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2412227208</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2412227208</sourcerecordid><originalsourceid>FETCH-LOGICAL-c244t-2931db3fbee8299176202e274417a72bd4d6c73d05cbd11ad23a2ce7b25f30f3</originalsourceid><addsrcrecordid>eNp9UE1PwzAMjRBITLA_wCkS50LidMnKbZrGhzSJy-5RmqQjU5eUpJW2f09GB9zwxZb93rP9ELqj5IESIh4TBc5nBQFSkIowWtALNKFzzgsOVXX5W8_JNZqmtCM5GGUV4RM0rA5dtCm54HFo8DJ4baN_wouua51W_blvD320e4tbq6J3fov3Sn84b3ETIs4CxukfqPocbBgSTqEdate6_njqahXrPDcuHJyxt-iqUW2y03O-QZvn1Wb5WqzfX96Wi3WhoSz7AipGTc2a2tp5_oQKDgQsiLKkQgmoTWm4FsyQma4NpcoAU6CtqGHWMNKwG3Q_ynYx5KtSL3dhiD5vlFBSABBA5hkFI0rHkFK0jeyi26t4lJTIk8FyNFhmg-W3wZJmEhtJKYP91sY_6X9YX6Dwf2c</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2412227208</pqid></control><display><type>article</type><title>Expression of Concern: Application of extreme learning machine for prediction of aqueous solubility of carbon dioxide</title><source>SpringerLink Journals - AutoHoldings</source><creator>Mohammadian, Erfan ; Motamedi, Shervin ; Shamshirband, Shahaboddin ; Hashim, Roslan ; Junin, Radzuan ; Roy, Chandrabhushan ; Azdarpour, Amin</creator><creatorcontrib>Mohammadian, Erfan ; Motamedi, Shervin ; Shamshirband, Shahaboddin ; Hashim, Roslan ; Junin, Radzuan ; Roy, Chandrabhushan ; Azdarpour, Amin</creatorcontrib><description>The Editors-in-Chief of Environmental Earth Sciences are issuing an editorial expression of concern to alert readers that this article [1] shows evidence of substantial text overlap (most notably with the article cited [2]) and authorship manipulation. None of the authors responded to correspondence about this editorial expression of concern.</description><identifier>ISSN: 1866-6280</identifier><identifier>EISSN: 1866-6299</identifier><identifier>DOI: 10.1007/s12665-020-09031-1</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Biogeosciences ; Carbon dioxide ; Correction ; Earth and Environmental Science ; Earth Sciences ; Environmental Science and Engineering ; Geochemistry ; Geology ; Hydrology/Water Resources ; Terrestrial Pollution</subject><ispartof>Environmental earth sciences, 2020-06, Vol.79 (12), Article 301</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020</rights><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c244t-2931db3fbee8299176202e274417a72bd4d6c73d05cbd11ad23a2ce7b25f30f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12665-020-09031-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12665-020-09031-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27922,27923,41486,42555,51317</link.rule.ids></links><search><creatorcontrib>Mohammadian, Erfan</creatorcontrib><creatorcontrib>Motamedi, Shervin</creatorcontrib><creatorcontrib>Shamshirband, Shahaboddin</creatorcontrib><creatorcontrib>Hashim, Roslan</creatorcontrib><creatorcontrib>Junin, Radzuan</creatorcontrib><creatorcontrib>Roy, Chandrabhushan</creatorcontrib><creatorcontrib>Azdarpour, Amin</creatorcontrib><title>Expression of Concern: Application of extreme learning machine for prediction of aqueous solubility of carbon dioxide</title><title>Environmental earth sciences</title><addtitle>Environ Earth Sci</addtitle><description>The Editors-in-Chief of Environmental Earth Sciences are issuing an editorial expression of concern to alert readers that this article [1] shows evidence of substantial text overlap (most notably with the article cited [2]) and authorship manipulation. None of the authors responded to correspondence about this editorial expression of concern.</description><subject>Biogeosciences</subject><subject>Carbon dioxide</subject><subject>Correction</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Environmental Science and Engineering</subject><subject>Geochemistry</subject><subject>Geology</subject><subject>Hydrology/Water Resources</subject><subject>Terrestrial Pollution</subject><issn>1866-6280</issn><issn>1866-6299</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9UE1PwzAMjRBITLA_wCkS50LidMnKbZrGhzSJy-5RmqQjU5eUpJW2f09GB9zwxZb93rP9ELqj5IESIh4TBc5nBQFSkIowWtALNKFzzgsOVXX5W8_JNZqmtCM5GGUV4RM0rA5dtCm54HFo8DJ4baN_wouua51W_blvD320e4tbq6J3fov3Sn84b3ETIs4CxukfqPocbBgSTqEdate6_njqahXrPDcuHJyxt-iqUW2y03O-QZvn1Wb5WqzfX96Wi3WhoSz7AipGTc2a2tp5_oQKDgQsiLKkQgmoTWm4FsyQma4NpcoAU6CtqGHWMNKwG3Q_ynYx5KtSL3dhiD5vlFBSABBA5hkFI0rHkFK0jeyi26t4lJTIk8FyNFhmg-W3wZJmEhtJKYP91sY_6X9YX6Dwf2c</recordid><startdate>20200601</startdate><enddate>20200601</enddate><creator>Mohammadian, Erfan</creator><creator>Motamedi, Shervin</creator><creator>Shamshirband, Shahaboddin</creator><creator>Hashim, Roslan</creator><creator>Junin, Radzuan</creator><creator>Roy, Chandrabhushan</creator><creator>Azdarpour, Amin</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>M2P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope></search><sort><creationdate>20200601</creationdate><title>Expression of Concern: Application of extreme learning machine for prediction of aqueous solubility of carbon dioxide</title><author>Mohammadian, Erfan ; Motamedi, Shervin ; Shamshirband, Shahaboddin ; Hashim, Roslan ; Junin, Radzuan ; Roy, Chandrabhushan ; Azdarpour, Amin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c244t-2931db3fbee8299176202e274417a72bd4d6c73d05cbd11ad23a2ce7b25f30f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Biogeosciences</topic><topic>Carbon dioxide</topic><topic>Correction</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Environmental Science and Engineering</topic><topic>Geochemistry</topic><topic>Geology</topic><topic>Hydrology/Water Resources</topic><topic>Terrestrial Pollution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mohammadian, Erfan</creatorcontrib><creatorcontrib>Motamedi, Shervin</creatorcontrib><creatorcontrib>Shamshirband, Shahaboddin</creatorcontrib><creatorcontrib>Hashim, Roslan</creatorcontrib><creatorcontrib>Junin, Radzuan</creatorcontrib><creatorcontrib>Roy, Chandrabhushan</creatorcontrib><creatorcontrib>Azdarpour, Amin</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>ProQuest Agriculture & Environmental Science Database</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Science Journals</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>Environmental earth sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mohammadian, Erfan</au><au>Motamedi, Shervin</au><au>Shamshirband, Shahaboddin</au><au>Hashim, Roslan</au><au>Junin, Radzuan</au><au>Roy, Chandrabhushan</au><au>Azdarpour, Amin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Expression of Concern: Application of extreme learning machine for prediction of aqueous solubility of carbon dioxide</atitle><jtitle>Environmental earth sciences</jtitle><stitle>Environ Earth Sci</stitle><date>2020-06-01</date><risdate>2020</risdate><volume>79</volume><issue>12</issue><artnum>301</artnum><issn>1866-6280</issn><eissn>1866-6299</eissn><abstract>The Editors-in-Chief of Environmental Earth Sciences are issuing an editorial expression of concern to alert readers that this article [1] shows evidence of substantial text overlap (most notably with the article cited [2]) and authorship manipulation. None of the authors responded to correspondence about this editorial expression of concern.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s12665-020-09031-1</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1866-6280 |
| ispartof | Environmental earth sciences, 2020-06, Vol.79 (12), Article 301 |
| issn | 1866-6280 1866-6299 |
| language | eng |
| recordid | cdi_proquest_journals_2412227208 |
| source | SpringerLink Journals - AutoHoldings |
| subjects | Biogeosciences Carbon dioxide Correction Earth and Environmental Science Earth Sciences Environmental Science and Engineering Geochemistry Geology Hydrology/Water Resources Terrestrial Pollution |
| title | Expression of Concern: Application of extreme learning machine for prediction of aqueous solubility of carbon dioxide |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T16%3A31%3A56IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Expression%20of%20Concern:%20Application%20of%20extreme%20learning%20machine%20for%20prediction%20of%20aqueous%20solubility%20of%20carbon%20dioxide&rft.jtitle=Environmental%20earth%20sciences&rft.au=Mohammadian,%20Erfan&rft.date=2020-06-01&rft.volume=79&rft.issue=12&rft.artnum=301&rft.issn=1866-6280&rft.eissn=1866-6299&rft_id=info:doi/10.1007/s12665-020-09031-1&rft_dat=%3Cproquest_cross%3E2412227208%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2412227208&rft_id=info:pmid/&rfr_iscdi=true |