articles

The Scientific Journal of Neurometry (SJN) is a journal designed by the Brazilian Society of Neurometry.

Tipo: Periódicos eletrônicos
Área(s): Multidisciplinar
Conteúdo: Texto completo
Origem: Estrangeira
Suporte físico: Internet
Descrição: Diretório de revistas eletrônicas de acesso aberto, permite o acesso gratuito a revistas científicas e acadêmicas de qualidade. Também podem ser realizadas buscas por artigo de periódico.
Editor: Brasilian Neurometry Society
Disponível em: Publisher site
Formas de acesso: Internet (acesso livre)

This journal seeks articles with the objective of developing a vehicle for debate and dissemination of scientific works in various areas of health, education, sports and personal performance, correlated with neurometry.

The evolution will be to supply the need in several areas and increase the stimulus to research from the early stages of the professional trained. The SJN seeks to collaborate in the process of dissemination of scientific and technological production, showing the ability of professional researchers and also students in the process of Initiation to Scientific and Technological Education in producing, elaborating and disseminating their scientific productions relevant for the transformation and improvements in science and technology. We will increasingly fill the academic gap with publications willing to encourage and disseminate written work on neurometry. This omission, whether voluntary or unthought, perpetuates inaccuracies in the training and criticism of professionals, which ultimately prove unable to concatenate the information acquired with the questions of reality. Therefore, for the valorization of the research, it is necessary to stimulate the debate and the social utility of the produced knowledge. Through tools such as the one we presently present - a space that disseminates the quality academic production of members and professionals from all over the country and abroad.

The scientific journal of neurometry accepts for publication unpublished articles resulting from theoretical studies, research and experience reports. The publication of articles is subject to the opinion of members Scientific Committee or Ad hoc Collaborators. The selection of articles for publication takes as its basic criteria its contribution to the areas of knowledge accepted by the Journal and its editorial line, as well as as the consistency and rigor of the theoretical-methodological approach.

Any changes in structure or content suggested by the Editorial Board will only be incorporated upon agreement of the authors. With this, RCN will favor the diffusion of intellectual production from work completed or in the process of investigation coming from different sources within of higher education.

We reinforce this space as a possibility to encourage active posture in the learning process. We strive for a teaching method that promotes not only the reproduction of content but the construction of reasoning and argumentation. We argue that the change of posture through actions more proactive, will contribute to the formation of more capable and competent professionals in their Social.

We appreciate your confidence in our initiative and wish you a great read!

EDITORIAL BOARD

Ph.D. Alfredo González-Ruibal (Universidade Complutense de Madrid - Espanha)
Ph.D. Ana Paula Nunes Chaves (UDESC – Florianópolis/SC)
Ph.D. Arlete Assumpção Monteiro (PUC/SP - São Paulo/SP)
Ph.D. Barbara M. Arisi (UNILA – Foz do Iguaçu/PR)
Ph.D. Carmen Sylvia de Alvarenga Junqueira (PUC/SP – São Paulo/SP)
Ph.D. Claudio Carlan (UNIFAL – Alfenas/MG)
Ph.D. Denia Roman Solano (Universidade da Costa Rica - Costa Rica)
Ph.D. Débora Cristina Goulart (UNIFESP – Guarulhos/SP)
Ph.D. Diana Sandra Tamburini (UNR – Rosário/Santa Fé – Argentina)
Ph.D. Edgard de Assis Carvalho (PUC/SP – São Paulo/SP)
Ph.D. Fabiano de Souza Gontijo (UFPA – Belém/PA)
Ph.D. Gilson Rambelli (UFS – São Cristóvão/SE)
Ph.D. Graziele Acçolini (UFGD – Dourados/MS)
Ph.D. Kelly Ludkiewicz Alves (UFBA – Salvador/BA)
Ph.D. Lilian Marta Grisólio (UFG – Catalão/GO)
Ph.D. Lucia Helena Vitalli Rangel (PUC/SP – São Paulo/SP)
Ph.D. Luciane Soares da Silva (UENF – Campos de Goitacazes/RJ)
Ph.D. Mabel M. Fernández (UNLPam – Santa Rosa/La Pampa – Argentina)
Ph.D. María Teresa Boschín (UNLu – Luján/Buenos Aires – Argentina)
Ph.D. Michel Justamand (UFAM – Benjamin Constant/AM)
Ph.D. Paulo Alves Junior (FMU – São Paulo/SP)
Ph.D. Renata Senna Garrafoni (UFPR – Curitiba/PR)
Ph.D. Renilda Aparecida Costa (UFAM – Manaus/AM)
Ph.D. Sebastião Rocha de Sousa (UEA – Tabatinga/AM)
Ph.D. Thereza Cristina Cardoso Menezes (UFRRJ – Rio de Janeiro/RJ)
Ph.D. Vanderlei Elias Neri (UNICSUL – São Paulo/SP)
Ph.D. Vera Lúcia Vieira (PUC – São Paulo/SP)
Ph.D. Wanderson Fabio Melo (UFF – Rio das Ostras/RJ)

FOUNDING EDITORS

Nelson Alves Pereira Jr (UNIFESP/SP)

M.S. Karel H. Langermans (ANHANGUERA/SP)

Juliana de Oliveira Alves Pereira (UNOPAR/SP)

EXECUTIVE OFFICER/ PRESIDENT/ SCIENTIFIC EDITOR

Nelson Alves Pereira Jr (UNIFESP/SP)

RESPONSIBLE EDITOR/EDITORIAL OFFICE

Alexa Cultural Ltda

This is an open access journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the author. This is in accordance with the BOAI definition of open access.

Revista Científica de Neurometria de https://www.neurometria.com.br/journalscientific/ está licenciado com uma Licença Creative Commons - Atribuição 4.0 Internacional.

Policy and Action for Plagiarism

Plagiarism is the unethical act of copying someone else’s prior ideas, processes, results or words without explicit acknowledgement of the original author and source. Self-plagiarism occurs when an author utilizes large part of his/her own previously published work without using appropriate references. This can range from getting the same manuscript published in multiple journals to modifying a previously published manuscript with some new data.

Scientific journal neurometry (SJN) respects intellectual property and aims at protecting and promoting original work of its authors. Manuscripts containing plagiarized material are against the standards of quality, research and innovation. Hence, all authors submitting articles to SJN are expected to abide ethical standards and abstain from plagiarism, in any form. In case, an author is found to be suspected of plagiarism in a submitted or published manuscript then, SJN shall contact the author (s) to submit his / her (their) explanation within two weeks, which may be forwarded to the Fact Finding Committee (FFC) constituted for the purpose, for further course of action. If SJN does not receive any response from the author within the stipulated time period, then the Director / Dean / Head of the concerned College, Institution or Organization or the Vice Chancellor of the University to which the author is affiliated shall be contacted to take strict action against the concerned author.

SJN shall take serious action against published manuscripts found to contain plagiarism and shall completely remove them from SJN website and other third party websites where the paper is listed and indexed. The moment, any article published in SJN database is reported to be plagiarized,  will SJN constitute a Fact Finding Committee to investigate the same. Upon having established that the manuscript is plagiarized from some previously published work, SJN shall support the original author and manuscript irrespective of the publisher and may take any or all of the following immediate actions or follow the additional course of actions as recommended by the committee:

1. SJN editorial office shall immediately contact the Director / Dean / Head of the concerned College, Institution or Organization or the Vice Chancellor of the University to which the author(s) is (are) affiliated to take strict action against the concerned author.
2. SJN shall remove the PDF copy of the published manuscript from the website and disable all links to full text article. The term Plagiarized Manuscript shall be appended to the published manuscript title.
3. SJN shall disable the author account with the journal and reject all future submissions from the author for a period of 03 / 05 / 10 years or even ban the authors permanently.
4. SJN may also display the list of such authors along with their full contact details on the SJN website.
5. Any other course of action, as recommended by the Committee or as deemed fit for the instant case or as decided by the Editorial Board, from time to time.

For more details see the attached file by clicking here (document in PDF).

Scientific Journal Neurometry (SNJ) is having ISSN 2594-438X (online), semiannual international journal, being published since year 2017.

Reviewers play a central role in scholarly publishing. SJN uses peer review process. This means that the reviewer(s) of the paper won’t get to know the identity of the author(s), and the author(s) won’t get to know the identity of the reviewer(s). Peer review helps validate research, establish a method by which it can be evaluated, and increase networking possibilities within research communities. Despite criticisms, peer review is still the only widely accepted method for research validation.

All submitted papers will be reviewed by peer review process which may take minimum 01 to 03 weeks from the date of submission. We are advising to all the author(s), do not submit same paper to the multiple journals. You should wait for review status of paper.

SJN is committed to prompt evaluation and publication of fully accepted papers. To maintain a high-quality publication, all submissions undergo a rigorous review process. Characteristics of the peer review process are as follows:

• Simultaneous submissions of the same manuscript to different journals will not be tolerated.
• Manuscripts with contents outside the scope will not be considered for review.
• Papers will be refereed by reviewers as suggested by the editorial board.
• In addition, Editors will have the option of seeking additional reviews when needed.
• Authors will be informed when Editors decide further review is required. All publication decisions are made by the journal’s Editors-in-Chief on the basis of the referees’ reports (reviewers report).
• Authors of papers that are not accepted are notified promptly.
• All submitted manuscripts are treated as confidential documents. All submitted papers will be reviewed by review process.
• All manuscripts submitted for publication in SJN cross-checked for plagiarism software. Manuscripts found to be plagiarized during initial stages of review are out-rightly rejected and not considered for publication in the journal.
• In case if a manuscript is found to be plagiarized after publication, the Editor-in-Chief will conduct preliminary investigation, may be with the help of a suitable committee constituted for the purpose. If the manuscript is found to be plagiarized beyond the acceptable limits, the journal will contact the author’s Institute / College / University and Funding Agency, if any.

SJN strictly uses following peer review process:

License agreement

In submitting an article to any of the journals published by Scientific Journal Neurometry(SJN) I certify that;

1. I am authorized by my co-authors to enter into these arrangements.
2. I warrant, on behalf of myself and my co-authors, that:
   • ​​the article is original, has not been formally published in any other peer-reviewed journal, is not under consideration by any other journal and does not infringe any existing copyright or any other third party rights;
   • I am/we are the sole author(s) of the article and have full authority to enter into this agreement and in granting rights to Scientific Journal Neurometry are not in breach of any other obligation;
   • the article contains nothing that is unlawful, libellous, or which would, if published, constitute a breach of contract or of confidence or of commitment given to secrecy;
   • I/we have taken due care to ensure the integrity of the article. To my/our - and currently accepted scientific - knowledge all statements contained in it purporting to be facts are true and any formula or instruction contained in the article will not, if followed accurately, cause any injury, illness or damage to the user.
3. I, and all co-authors, agree that the article, if editorially accepted for publication, shall be licensed under the Creative Commons Attribution License 4.0. In line with SJN's Open Data Policy, data included in the article shall be made available under the Creative Commons 1.0 Public Domain Dedication waiver, unless otherwise stated. If the law requires that the article be published in the public domain, I/we will notify Scientific Journal Neurometry at the time of submission, and in such cases not only the data but also the article shall be released under the Creative Commons 1.0 Public Domain Dedication waiver. For the avoidance of doubt it is stated that sections 1 and 2 of this license agreement shall apply and prevail regardless of whether the article is published under Creative Commons Attribution License 4.0or the Creative Commons 1.0 Public Domain Dedication waiver.

​[End of SJN’s license agreement]

Explanatory notes regarding SJN’s license agreement

As an aid to our authors, the following paragraphs provide some brief explanations concerning the Creative Commons licenses that apply to the articles published in SJN-published journals and the rationale for why we have chosen these licenses.

The Creative Commons Attribution License (CC BY), of which CC BY 4.0 is the most recent version, was developed to facilitate open access as defined in the founding documents of the movement, such as the 2003 Berlin Declaration. Open access content has to be freely available online, and through licensing their work under CC BY authors grant users the right to unrestricted dissemination and re-use of the work, with only the one proviso that proper attribution is given to authors. This liberal licensing is best suited to facilitate the transfer and growth of scientific knowledge. The Open Access Scholarly Publishers Association (OASPA) therefore strongly recommends the use of CC BY for the open access publication of research literature, and many research funders worldwide either recommend or mandate that research they have supported be published under CC BY. Examples for such policies include funders as diverse as the Wellcome Trust, the Australian Governments, the European Commission’s Horizon 2020 framework programme, or the Bill & Melinda Gates Foundation.

The default use of the Creative Commons 1.0 Public Domain Dedication waiver (CC0 or CC zero) for data published within articles follows the same logic, facilitating maximum benefit and the widest possible re-use of knowledge. It is also the case that in some jurisdictions copyright does not apply to data. CC0 waives all potential copyrights, to the extent legally possible, as well as the attribution requirement. The waiver applies to data, not to the presentation of data. If, for instance, a table or figure displaying research data is reproduced, CC BY and the requirement to attribute applies. Increasingly, however, new insights are possible through the use of big data techniques, such as data mining, that harness the entire corpus of digital data. In such cases attribution is often technically infeasible due to the sheer mass of the data mined, making CC0 the most suitable licensing tool for research outputs generated from such innovative techniques.

It is important to differentiate between legal requirements and community norms. It is first and foremost a community norm, not a law, that within the scientific community attribution mostly takes the form of citation. It is also a community norm that researchers are expected to refer to their sources, which usually takes the form of citation. Across all cases of research reuse (including data, code, etc), community norms will apply as is appropriate for the situation: researchers will cite their sources where it is feasible, regardless of the applicable license. CC0 therefore covers those instances that lie beyond long-established community norms. The overall effect, then, of CC0 for data is to enable further use, without any loss of citations. For further explanation, we recommend you refer to our Open Data page.

In the following, we provide the licenses’ summaries as they can be found on the Creative Commons website.

The Creative Commons Attribution License 4.0 provides the following summary (where ‘you’ equals ‘the user’):

You are free to:

• Share — copy and redistribute the material in any medium or format.
• Adapt — remix, transform, and build upon the material for any purpose, even commercially.

The licensor cannot revoke these freedoms as long as you follow the license terms.

Under the following terms:

• Attribution— you must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
• No additional restrictions—you may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Notices

You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.

No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.

Please note: For the terms set in italics in the summary above further details are provided on the Creative Commons web page from which the summary is taken (http://creativecommons.org/licenses/by/4.0/).

The Creative Commons 1.0 Public Domain Dedication waiver provides the following summary:

No copyright

The person who associated a work with this deed has dedicated the work to the public domain by waiving all of his or her rights to the work worldwide under copyright law, including all related and neighbouring rights, to the extent allowed by law.

You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other information below.

Other information

• In no way are the patent or trademark rights of any person affected by CC0, nor are the rights that other persons may have in the work or in how the work is used, such as publicity or privacy rights.
• Unless expressly stated otherwise, the person who associated a work with this deed makes no warranties about the work, and disclaims liability for all uses of the work, to the fullest extent permitted by applicable law.
• When using or citing the work, you should not imply endorsement by the author or the affirmer.

Please note: for the terms set in italics in the summary above further details are provided on the Creative Commons web page from which the summary is taken (http://creativecommons.org/publicdomain/zero/1).