scholarly journals Fair and Accurate Review in Publication Process: A learning-based Proactive Approach for Assigning Reviewers to Manuscripts

2021 ◽  
Vol 12 (4) ◽  
pp. 7-15
Author(s):  
Aboli H. Patil, Parikshit N. Mahalle
Keyword(s):  
Conflict Of Interest ◽  
Review Process ◽  
Vital Role ◽  
Subject Domain ◽  
Training Set ◽  
Data Set ◽  
Proactive Approach ◽  
Minimum Number ◽  
Grant Proposals ◽  
The Subject

Peer review is one of the most crucial and important tasks that are associated with academic conferences, journals and grant proposals; and assignment of an appropriate reviewer plays vital role for accurate and fair review process.  This paper presents a learning based proactive system that assigns reviewer(s) whose expertise matches with the domain(s) of the paper satisfying constraints. The assignment of reviewer to paper needs to satisfy various constraints such as maximum number of papers per reviewer, minimum number of reviewers per paper and conflict of interest. he core challenge in reviewer paper assignment is to make the computer understand the subject domain of experts and papers. In proposed system, features are extracted from title, abstract and introduction section of publications of reviewer and submitted papers. These features help the model learn the domain features of experts and submitted papers more accurately. Once the training set is built utilizing the inherent correlation between abstract and title, the model is trained and the similarity between reviewers and papers is predicted. The experimental results on test data set of AAAI 2014 and NIPS 2019 demonstrate the effectiveness of the proposed system.

Theoretical Analysis of Different Classifiers under Reduction Rough Data Set

2016 ◽  
Vol 3 (3) ◽  
pp. 1-20 ◽  
Author(s):  
Shamim H Ripon ◽  
Sarwar Kamal ◽  
Saddam Hossain ◽  
Nilanjan Dey
Keyword(s):  
Machine Learning ◽  
Rough Sets ◽  
Deoxyribonucleic Acid ◽  
Review Process ◽  
Nearest Neighbor ◽  
Vital Role ◽  
Automated System ◽  
K Nearest Neighbor ◽  
Data Set ◽  
Automated Learning

Rough set plays vital role to overcome the complexities, vagueness, uncertainty, imprecision, and incomplete data during features analysis. Classification is tested on certain dataset that maintain an exact class and review process where key attributes decide the class positions. To assess efficient and automated learning, algorithms are used over training datasets. Generally, classification is supervised learning whereas clustering is unsupervised. Classifications under mathematical models deal with mining rules and machine learning. The Objective of this work is to establish a strong theoretical and manual analysis among three popular classifier namely K-nearest neighbor (K-NN), Naive Bayes and Apriori algorithm. Hybridization with rough sets among these three classifiers enables enable to address larger datasets. Performances of three classifiers have tested in absence and presence of rough sets. This work is in the phase of implementation for DNA (Deoxyribonucleic Acid) datasets and it will design automated system to assess classifier under machine learning environment.

Applying Generalizability Theory to Optimize Analysis of Spontaneous Teacher Talk in Elementary Classrooms

2020 ◽  
Vol 63 (6) ◽  
pp. 1947-1957
Author(s):  
Alexandra Hollo ◽  
Johanna L. Staubitz ◽  
Jason C. Chow
Keyword(s):  
Special Education Teachers ◽  
Generalizability Theory ◽  
Child Outcomes ◽  
Elementary Classrooms ◽  
Teacher Talk ◽  
Group Instruction ◽  
Data Set ◽  
School Year ◽  
Minimum Number ◽  
Representative Samples

Purpose Although sampling teachers' child-directed speech in school settings is needed to understand the influence of linguistic input on child outcomes, empirical guidance for measurement procedures needed to obtain representative samples is lacking. To optimize resources needed to transcribe, code, and analyze classroom samples, this exploratory study assessed the minimum number and duration of samples needed for a reliable analysis of conventional and researcher-developed measures of teacher talk in elementary classrooms. Method This study applied fully crossed, Person (teacher) × Session (samples obtained on 3 separate occasions) generalizability studies to analyze an extant data set of three 10-min language samples provided by 28 general and special education teachers recorded during large-group instruction across the school year. Subsequently, a series of decision studies estimated of the number and duration of sessions needed to obtain the criterion g coefficient ( g > .70). Results The most stable variables were total number of words and mazes, requiring only a single 10-min sample, two 6-min samples, or three 3-min samples to reach criterion. No measured variables related to content or complexity were adequately stable regardless of number and duration of samples. Conclusions Generalizability studies confirmed that a large proportion of variance was attributable to individuals rather than the sampling occasion when analyzing the amount and fluency of spontaneous teacher talk. In general, conventionally reported outcomes were more stable than researcher-developed codes, which suggests some categories of teacher talk are more context dependent than others and thus require more intensive data collection to measure reliably.

Machine Learning Verdict of EEG Signals in Brain Computer Interface

2018 ◽  
pp. 429-441
Author(s):  
M. Jeyanthi ◽  
C. Velayutham
Keyword(s):  
Nearest Neighbor ◽  
Technology Development ◽  
Vital Role ◽  
Svm Classifier ◽  
K Nearest Neighbor ◽  
Data Mining Technique ◽  
Data Set ◽  
Eeg Data ◽  
Irrelevant Attributes

In Science and Technology Development BCI plays a vital role in the field of Research. Classification is a data mining technique used to predict group membership for data instances. Analyses of BCI data are challenging because feature extraction and classification of these data are more difficult as compared with those applied to raw data. In this paper, We extracted features using statistical Haralick features from the raw EEG data . Then the features are Normalized, Binning is used to improve the accuracy of the predictive models by reducing noise and eliminate some irrelevant attributes and then the classification is performed using different classification techniques such as Naïve Bayes, k-nearest neighbor classifier, SVM classifier using BCI dataset. Finally we propose the SVM classification algorithm for the BCI data set.

Use of ontological analysis for competence evaluation of scientists in a particular subject domain

2016 ◽  
pp. 081-096
Author(s):  
J.V. Rogushina ◽  
Keyword(s):  
Scientific Activity ◽  
Subject Domain ◽  
Semantic Matching ◽  
Research Project ◽  
Open Environment ◽  
Competence Evaluation ◽  
The Subject ◽  
Ontological Analysis ◽  
Use Of Knowledge ◽  
The Web

Objective methods for competence evaluating of scientists in the subject domain pertinent to the specific scientific product – research project, publication, etc. are proposed. These methods are based on the semantic matching of the description of scientific product and documents that confirm the competence of its authors or experts in the domain of this product. In addition, the use of knowledge acquired from the Web open environment – Wiki-resources, scientometric databases, organization official website, domain ontologies is proposed. Specialized ontology of scientific activity which allows to standardize the terminological base for describing the qualifications of researchers is developed.

The social wasp Vespula germanica (Fabricius) (Hymenoptera: Vespidae) population dynamics in England over 39 years.

2018 ◽  
Vol 154 (2) ◽  
pp. 149-155
Author(s):  
Michael Archer
Keyword(s):  
Population Dynamics ◽  
Population Dynamic ◽  
Ecological Factors ◽  
Social Wasp ◽  
Data Sets ◽  
Data Set ◽  
Vespula Germanica ◽  
The Social ◽  
Minimum Number ◽  
Suction Traps

1. Yearly records of worker Vespula germanica (Fabricius) taken in suction traps at Silwood Park (28 years) and at Rothamsted Research (39 years) are examined. 2. Using the autocorrelation function (ACF), a significant negative 1-year lag followed by a lesser non-significant positive 2-year lag was found in all, or parts of, each data set, indicating an underlying population dynamic of a 2-year cycle with a damped waveform. 3. The minimum number of years before the 2-year cycle with damped waveform was shown varied between 17 and 26, or was not found in some data sets. 4. Ecological factors delaying or preventing the occurrence of the 2-year cycle are considered.

Essential Dental Public Health

2013 ◽  
Author(s):  
Blánaid Daly ◽  
Paul Batchelor ◽  
Elizabeth Treasure ◽  
Richard Watt
Keyword(s):  
Public Health ◽  
Health Promotion ◽  
Vital Role ◽  
Evidence Based ◽  
Dental Public Health ◽  
Oral Health Promotion ◽  
Dental Practitioners ◽  
The World ◽  
The Subject ◽  
Based Medicine

Public health is a key concern of modern dental practitioners as they continue to play a vital role in the health of populations across the world. The second edition of Essential Dental Public Health identifies the links between clinical practice and public health with a strong emphasis on evidence-based medicine. Fully revised and updated for a second edition, this textbook is split into four parts covering all the need-to-know aspects of the subject: the principles of dental public health, oral epidemiology, prevention and oral health promotion, and the governance and organization of health services. Essential Dental Public Health is an ideal introduction to the field for dentistry undergraduates, as well as being a helpful reference for postgraduates and practitioners.

scholarly journals Building an ‘Industrial Engineering Mindset’ among Indian Healthcare Executives: Toward Management of Healthcare Facilities at an Industrial Scale post the COVID-19 Pandemic

2021 ◽  
pp. 2516600X2110059
Author(s):  
Som Sekhar Bhattacharyya ◽  
Rajesh Chandwani
Keyword(s):  
Literature Review ◽  
Industrial Engineering ◽  
Industrial Scale ◽  
Subject Domain ◽  
Healthcare Facilities ◽  
Healthcare Executives ◽  
The Future ◽  
Adequate Quantity ◽  
The Subject

The COVID-19 pandemic highlighted the necessity of good quality and adequate quantity of healthcare infrastructure facilities. Healthcare facilities were provided for COVID-19 facilities with improvisation and supplementary lateral infrastructure from other sectors. However, the main point of contemplation going into the future was regarding how to quickly develop healthcare facilities. The subject domain of ‘industrial engineering’ (IE) and its associated perspectives could provide some key insights regarding this. The authors undertook a conceptual literature review and provided theoretical argumentation toward this. The findings provided insights regarding the application of industrial engineering concepts in healthcare facilities and services.

scholarly journals Role of Selenium and Selenoproteins in Male Reproductive Function: A Review of Past and Present Evidences

Antioxidants ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 268 ◽  
Author(s):  
Izhar Hyder Qazi ◽  
Christiana Angel ◽  
Haoxuan Yang ◽  
Evangelos Zoidis ◽  
Bo Pan ◽  
...  
Keyword(s):  
Male Fertility ◽  
Defense Mechanisms ◽  
Antioxidant Defense ◽  
Biological Effects ◽  
Reproductive Function ◽  
Vital Role ◽  
Biologically Relevant ◽  
Male Reproductive Function ◽  
The Subject

Selenium (Se) is an important trace mineral having many essential roles at the cellular and organismal levels in animal and human health. The biological effects of Se are mainly carried out by selenoproteins (encoded by 25 genes in humans and 24 in mice). As an essential component of selenoproteins, Se performs structural and enzymic roles; in the latter context it is well known for its catalytic and antioxidative functions. Studies involving different animal models have added great value to our understanding regarding the potential implications of Se and selenoproteins in mammalian fertility and reproduction. In this review, we highlight the implications of selenoproteins in male fertility and reproduction followed by the characteristic biological functions of Se and selenoproteins associated with overall male reproductive function. It is evident from observations of past studies (both animal and human) that Se is essentially required for spermatogenesis and male fertility, presumably because of its vital role in modulation of antioxidant defense mechanisms and other essential biological pathways and redox sensitive transcription factors. However, bearing in mind the evidences from mainstream literature, it is also advisable to perform more studies focusing on the elucidation of additional roles played by the peculiar and canonical selenoproteins i.e., glutathione peroxidase 4 (GPX4) and selenoprotein P (SELENOP) in the male reproductive functions. Nevertheless, search for the elucidation of additional putative mechanisms potentially modulated by other biologically relevant selenoproteins should also be included in the scope of future studies. However, as for the implication of Se in fertility and reproduction in men, though a few clinical trials explore the effects of Se supplementation on male fertility, due to inconsistencies in the recruitment of subjects and heterogeneity of designs, the comparison of such studies is still complicated and less clear. Therefore, further research focused on the roles of Se and selenoproteins is awaited for validating the evidences at hand and outlining any therapeutic schemes intended for improving male fertility. As such, new dimensions could be added to the subject of male fertility and Se supplementation.

Health care Online

2000 ◽  
Vol 1 (2) ◽  
pp. 24-25
Keyword(s):  
Health Care ◽  
Health Care Policy ◽  
Central Government ◽  
Medical Profession ◽  
Medical Opinion ◽  
Proactive Approach ◽  
The United Kingdom ◽  
Wide Range ◽  
On Line ◽  
The Subject

The BMJ has always been recognised as a leading medical journal for a wide range of subjects, and has always been useful for nurses to access for up to date and current medical opinion. Recently the BMJ has diversified to take on a more political nature, with its content reflecting a more proactive approach to influencing health care policy in the United Kingdom by the medical profession. As such the BMJ has become extremely useful for identifying opinions of current ‘hot topics’ for nurses that are headline news such as nurse consultants, hospital administration and central government policy. However, one problem remains, trying to find the original copy in the library will remain difficult. After spending the best part of an hour to suddenly realise that ‘how silly you are for not realising that BMJ March 1997 is filed in the British Journal of Nursing section 1998!!’ is often a frustrating and demoralising experience - particularly if after finding the article you find it has nothing to do with the subject that you are researching. This problem is to be banished forever with the BMJ website. The full BMJ is available free on line. The excellent search engine is particularly useful and is accurate when matching target articles. All articles are available for ‘full text’ downloads free of charge.

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