ResearchGate, a Scientific Social Network, which Is Working as Growing Database and Cannot be Ignored neither Oral and Maxillofacial Surgeons nor Publishers

ResearchGate (RG) was launched in May 2008 by two physicians (Ijad Madisch and Sören Hofmayer) and computer scientist Horst Fickenscher as a social network platform for scientists, which is counting 20 million users.2 RG is also named as networked socio-technical system for scholarly communication3, academic social network site3, and academic social network site4. Citations, reads, RG Score, h-index, comments, personal communication via the platform and much more functions of RG are so impressive for every author. Moreover, the collection of articles` titles and abstracts/summaries with a “search” option made RG a new sophisticated database. The principles of RG are helping to increase the dissemination of practical orientated science like the oral and maxillofacial surgery (OMS). In RG`s we can find the articles from open access OMS journals like Journal of the Korean Association of Oral and Maxillofacial Surgeons,5,6 Oral and Maxillofacial Surgery Cases,7,8 etc. RG option “Citations” is more than useful for editorial offices and publishers as it helps to track the citation in the journals included to Scopus. It facilitates monitoring of the implementation/ compliance of one of the 14 journal selection criteria for inclusion into Scopus. “Citednes of journal articles in Scopus” is important criteria from a category Journal Standing.9 Citation of the articles published in our journal is easy to track with the RG. For example: the article of Le et al10,11 was cited at June 16, 2021 by Weyh et al12,13 published in Atlas of the Oral and Maxillofacial Surgery Clinics. In summary, although discussions about the operation of the ResearchGate exist,14 the benefits of this growing platform as a database should not be underestimated.

Accuracy of PubMed-based author lists of publications and use of author identifiers to address author name ambiguity: a cross-sectional study

Objective: To assess the accuracy of PubMed-based author lists of publications and use of author identifiers to address author name ambiguity. Methods: In this Swiss study conducted in 2019, 300 hospital-based senior physicians were asked to generate a list of their publications in PubMed and complete a questionnaire (type of query used, number of errors in their list of publications, knowledge and use of ORCID and ResearcherID). Results: 156 physicians (52%) agreed to participate, 145 of whom published at least one article (mean number of publications: 60 (SD 73)). Only 17% used the advanced search option. On average, there were 5 articles in the lists that were not co-authored by participants (advanced search: 1.0 (SD 2.6) vs. 5.9 (SD 13.9), p value 0.02) and 3 articles co-authored by participants that did not appear in the lists (advanced search: 1.5 (SD 2.0) vs. 3.6 (SD 8.4), p-value 0.05). Although 82% were aware of ORCID, only 16% added all their articles (39% and 6% respectively for ResearcherID). Conclusions: When used by senior physicians, the advanced search in PubMed is accurate for retrieving authors’ publications. Author identifiers are only used by a minority of physicians and are therefore not recommended in this context, as they would lead to inaccurate results.

A job ladder model with stochastic employment opportunities

We set up a model with on‐the‐job search in which firms infrequently post vacancies for which workers occasionally apply. The model nests the standard job ladder and stock‐flow models as special cases, while remaining analytically tractable and easy to estimate from standard panel data sets. The parameters from a structurally estimated model on US data are significantly different from either the restrictions imposed by a stock‐flow or job ladder model. Imposing these restrictions significantly understates the search option associated with employment and are, unlike our model, inconsistent with recent survey evidence and declining job finding rates and starting wage with duration of unemployment, both of which are present in the data.

Use of Open Access Publishing by Researchers an Analysis of Open Access Availability of Research Literature in the field of Digital Library

This paper aims to examine the availability of Open Access (OA) research literature in the field of digital library. In order to analyse the availability of OA research literature in the field of digital library, a search was conducted on Web of Science’s Core collection database on June 11, 2019. In response to a topic search TS = “Digital Library” using the advanced search option, 849 articles were retrieved. Of the 849 articles examined, the details of 26 articles were not found in the Google Scholar. Therefore, 823 articles were selected for further analyses. After examining the Websites of OA articles, they were classified into three categories: gold OA, green OA, and both gold and green OA. Furthermore, all the green OA articles were systematically organised into six groups for the examination of the self-archiving venues used by the researchers for self-archiving. Out of 823 articles analysed, OA versions were found for 64.76 per cent of articles. This study found that 26.68 per cent of OA articles were available through gold OA and 60.39 per cent articles were available through green OA, while 36.53 per cent articles were accessible via both OA journals and self-archiving (gold & green OA). Although researchers used various OA platforms for self-archiving of their research work, publishers’ Websites were found as the most preferred choice for self-archiving of research work by the authors in the field of digital library. Computer Science discipline has the highest share of OA copies available through self-archiving. However, it is important to point out that more than 78 per cent of self-archived articles were found as the final publisher’s PDF versions of the article which publishers never allow for self-archiving.

Cell biological basis of tumor relapse and recurrence – A help from yeast quiescent biology and neuronal quiescent cell biology

Cancer recurrence is initiated by the drug resistance quiescent cells (DRC). The anticancer treatment eliminates cells in the cell cycle (G1/S/G2/M), which is drug-sensitive (DSCs) whereas the quiescent (G0) cells are drug- resistant. It is for this reason, understanding quiescent (G0) cell biology is critical for dealing with recurrence of cancer. Sensitization (SS) is a process by virtue of which transition of G0 to drug-sensitive state is done artificially so that recurrence is minimized. In this review, the data were extracted from NCBI, PubMed literature search option which was analyzed and subsequently interpreted by combining principles of cancer therapy, quiescent biology, and neurobiology. In this review, a novel hypothesis is being presented regarding existence of different subtypes of G0 in human tumor cells (G01, G02, G03 …. G0n). Second, a new hypothesis is proposed which might be responsible for existence of heterogeneous cell types in the tumor tissue as observed in early embryonic neuronal biology. The morphogen gradient in the form of signaling molecules secreted from the source activates transcription factors and further interplay between these transcription factors in the different permutation and combination upregulate genes and thus generate cell diversity. It is likely that same kind of mechanism might be in action during development and maturation of tumor generating heterogeneous cell types in the tumor. Third, a few potential novel sensitization agents are being proposed here has been proposed here which is open for further investigation which includes c Myc, Dyrk1B, MARCKS, cycMs3, ERK,p38, HBx, and MT5 which could pave the way for better therapeutic strategy for the treatment of recurrence of the tumor.

OASIS: Openly Available Sources Integrated Search

OASIS is a freely available librarian developed OER search tool. It currently searches almost 100 sources from reputable organizations such as Cornell Open, OpenStax, and MIT Open Courseware with new content being added regularly. Source types include textbooks, courses, course materials, simulations, books, audiobooks, videos, podcasts, learning objects, and primary sources. Users can search OASIS directly from the search box on the main page or use the advanced search option. Search functionality works well but there are no options to sort results by relevancy or date. However, users can filter results by type, subject, source, license and reviews. The pages are clear and easy to read and there were only minor issues with accessibility. Overall OASIS is a good search tool for finding quality OER materials.

A Formal Assessment Paper on EDUSET-MBA Universities Custom Search

Smartphones and tablets are steadily changing the way we look after our education. Today penetrating further deep into the market study of mobiles require application related to educare. EDUSET team wants to develop a mobile application on MBA university guidance which provides the user with basic university information. A person’s usage of this application helps him/her to begin a good career. Firebase is used as database and android studio as a platform to develop the app. There are many apps regarding MBA learning but there will be no app like EDUSET. This application of this Android Platform is capable of guiding and suggesting the user with university information based on his/her probe. This application also enables individuals to become aware of different universities and its activities. The user will be provided with search option where he/she can probe according to university name or any of the MBA courses. The main vision of this paper is to give a new user-friendly app which is nowhere present in the mobile application development history

A Doctor Patient Portal for Effective Healthcare

This paper presents a noble approach to develop a digital healthcare system for Bangladesh, a country which is soon going to become a developing country. We made an online application to help the masses to get access to healthcare easily and effectively. The application consists of two modules, doctor/hospital information system and emergency services. It has user-friendly features for doctor appointment making. Also, it has a blood donor search option, ambulance calling option, patient’s report view option, doctors ranking options etc. The doctors ranking is a special feature which was calculated based on doctor’s educational qualification, experience, average count of appointments made by patients and patient’s feedback. Feedback form real users showed that this information system was very helpful for them. If implemented countrywide, this system of digital healthcare may pave the way for an effective healthcare service in Bangladesh.

Lessons Learned: A Primo Usability Study

<p>The University of Houston Libraries implemented Primo as the primary search option on the library website in May 2014. In May 2015, the Libraries released a redesigned interface to improve user experience with the tool. The Libraries took a user-centered approach to redesigning the Primo interface by conducting a "think-aloud" usability test in order to gather user feedback and identify needed improvements. This article describes the methodology and findings from the usability study, the changes that were made to the Primo interface as a result, and implications for discovery system vendor relations and library instruction.</p>

Optimal Switching Strategy between Admission Control and Pricing Control Policies with Two Types of Customers and Search Costs

This paper presents a switching strategy between the admission control and the pricing control policies in a queueing system with two types of customers. For an arriving first-type customer, the decision maker has an option on which policy to choose between the two control policies; that is, one determines whether or not to admit the customer’s request for the service (admission control) or decides a price of the customer’s request and offers it to the customer (pricing control). The second-type customers are only served when no first-type customers are present in the system in order to prevent the system from being idle. This would yield an extra income, which we refer to as the sideline profit. The so-called search cost, which is a cost paid to search for customers, creates the search option on whether to continue the search or not. We clarify the properties of the optimal switching strategy as well as the optimal search policy in relation to the sideline profit in order to maximize the total expected net profit. In particular, we show that when the sideline profit is sufficiently large, the two optimal switching thresholds exist with respect to the number of first-type customers in the system.