Different Types Of Reviews Research Articles

The use low laser therapy on oral nerve injuries in dental specialities: Literature review

Objective: The objective of this study was to carry out a literature review that addresses the use of low-level laser applied to oral lesions. Methodology: The searches were carried out on the websites: Web of Science, LILACS, MEDLINE, PUBMED, BBO databases and Google scholar using the DeCS. To produce this literature review, we used the perspective of Mattos (2015), who has a study on the different types of reviews, which served as the basis for structuring this article and which provided guidance for the methodology used. Results: Low-level laser has great potential to stimulate nerve regeneration and alleviate symptoms in patients with oral neural injury, however it is a therapy that needs urgent research in order to provide solid scientific bases to establish clearer guidelines on its use in dentistry.

An Insight on Role of Criticism and Praise in building Consumer Trust in Digital/E-Market: A Balancing Act

This abstract discusses a research paper about how online reviews, both positive and negative, affect consumer trust in the digital market. In today's digital world, online reviews have a big impact on what consumers choose to buy. Positive reviews help build trust, but negative ones can provide useful information. The study looks into how consumers handle different types of reviews and how trust, credibility, and the ability to see balanced perspectives play a role. By understanding consumer psychology and online review dynamics, the research aims to show the complex relationship between criticism and praise. The goal is to help businesses figure out effective ways to build and keep consumer trust in the digital marketplace. The main idea is summed up in the title, "An Insight on the Role of Criticism and Praise in Building Consumer Trust in Digital/E-Market: A Balancing Act." KEYWORDS Review Dynamics, Trust Factors, Balancing Act, Digital Credibility, User Influence, Consumer Insights, Online Trust

Machine learning for accelerating screening in evidence reviews

AbstractEvidence reviews are important for informing decision‐making and primary research, but they can be time‐consuming and costly. With the advent of artificial intelligence, including machine learning, there is an opportunity to accelerate the review process at many stages, with study screening identified as a prime candidate for assistance. Despite the availability of a large number of tools promising to assist with study screening, these are not consistently used in practice and there is skepticism about their application. Single‐arm evaluations suggest the potential for tools to reduce screening burden. However, their integration into practice may need further investigation through evaluations of outcomes such as overall resource use and impact on review findings and recommendations. Because the literature lacks comparative studies, it is not currently possible to determine their relative accuracy. In this commentary, we outline the published research and discuss options for incorporating tools into the review workflow, considering the needs and requirements of different types of review.

The importance of theoretical positioning and the relevance of using bibliometrics for literature reviews

ABSTRACT The theoretical positioning of a review is of the utmost importance in terms of its contribution to knowledge. This paper clarifies the significance of this design principle for different types of review i.e. for describing, understanding, explaining or testing purposes. Furthermore, new tools now mean that it is both possible and relevant for bibliometrics novices to use bibliometrics to support literature reviews. Applying the BIBGT method and combining two bibliometric techniques – co-citation analysis of references and bibliographic coupling of documents – can enhance the efficiency of the first three types of literature review. This paper provides examples of published works that apply BIBGT to each of these types of review and highlights the bibliometric software used. It concludes with a survey of promising applications for all researchers and makes recommendations for both experienced literature review researchers and literature review novices.

A Research on Future Scenario in the Field Of Role of Nanorobotics a Device for Diagnosis and Treatment

Nanorobots are the nano devices that are used for protecting or treatment against pathogens in humans. The use of nanorobots technology has become familiar and increasingly common, especially with pharmaceutical technology. We conducted this research paper by observing the different types of reviews, as well as conducting and evaluating literature review papers. This research is provided detailed overview of the types, properties and application of nanorobot in the diagnosis, prevention and treatment of various diseases. Nanorobots technology is rapidly emerging in the medical field, and this subfield has been termed nanomedicine. Nanorobotics are developing wide potential applications across all fields of medicine, and expanding the number of therapeutic options available, while also improving the efficacy of existing treatments. The most recent applications of these devices include targeted drug delivery to the brain, glucose monitoring in patients with diabetes, bone reconstruction, cancer treatment, blood clot removal, nerve regeneration and protein peptide based drug delivery systems.

Editorial: Crafting review and essay articles for Human Relations

Human Relations has long welcomed different types of reviews – systematic reviews, meta-analyses, conceptual reviews, narrative reviews, historical reviews – and critical essays that are original, innovative, of high-quality and contribute to theory building in the social sciences. The main purpose of this essay is to sketch out our current broad expectations for reviews and essays as a guide for authors and reviewers. As Editors of the journal, we do not wish to be overly prescriptive. After all, reviews may be integrative and focus on synthesis and integration to generate new concepts, frameworks and perspectives, or they may be more problematizing and contribute by identifying problematics, tensions and contradictions in a literature. Furthermore, consonant with its heritage, Human Relations invites scholarship from all research traditions across the social sciences that focus on social relations at work. It is a pluralistic, heterodox journal that will continue to publish a range of reviews and critical essays so long as authors have clear objectives and contribute meaningfully to the field. This will generally involve writing reviews and essays that seek to maximize what we see and are sufficiently complex to deal adequately with the richness and variety of the literatures and ideas considered.

BanditProp: Bandit Selection of Review Properties for Effective Recommendation

Many recent recommendation systems leverage the large quantity of reviews placed by users on items. However, it is both challenging and important to accurately measure the usefulness of such reviews for effective recommendation. In particular, users have been shown to exhibit distinct preferences over different types of reviews (e.g., preferring longer versus shorter or recent versus old reviews), indicating that users might differ in their viewpoints on what makes the reviews useful. Yet, there have been limited studies that account for the personalised usefulness of reviews when estimating the users’ preferences. In this article, we propose a novel neural model, called BanditProp, which addresses this gap in the literature. It first models reviews according to both their content and associated properties (e.g., length, sentiment and recency). Thereafter, it constructs a multi-task learning (MTL) framework to model the reviews’ content encoded with various properties.In such an MTL framework, each task corresponds to producing recommendations focusing on an individual property. Next, we address the selection of the features from reviews with different review properties as a bandit problem using multinomial rewards. We propose a neural contextual bandit algorithm (i.e., ConvBandit) and examine its effectiveness in comparison to eight existing bandit algorithms in addressing the bandit problem. Our extensive experiments on two well-known Amazon and Yelp datasets show that BanditProp can significantly outperform one classic and six existing state-of-the-art recommendation baselines. Moreover, BanditProp using ConvBandit consistently outperforms the use of other bandit algorithms over the two used datasets. In particular, we experimentally demonstrate the effectiveness of our proposed customised multinomial rewards in comparison to binary rewards, when addressing our bandit problem.

Evidenzsynthesen in Public Health: ein Überblick

BackgroundSince the beginning of the COVID-19 pandemic, there has been a high demand for rapid evidence syntheses to answer urgent public health questions. This article provides an overview of different types of reviews for public health questions and a synthesis of existing recommendations for the preparation of reviews. The aim is to support the planning of one's own review and the critical evaluation of published reviews. MethodsThe basis of this summary is an extensive search for guidelines and recommendations for different review types. Furthermore, internal journal clubs were held to determine knowledge needs and to critically discuss the various review types. Relating to the dissemination of results, fact sheets were developed for the individual review types including the most important information, prerequisites and work steps, as well as a decision tree for identifying the appropriate review type for the respective question. ResultsOf the review types identified, Systematic, Rapid, Scoping, Umbrella, and Narrative Reviews were considered in more detail because they are particularly relevant to public health issues. Together with scoping and umbrella reviews, systematic reviews have the highest resource requirements due to the demands for extensive, systematic evidence synthesis and reproducibility. Rapid methods can accelerate the review process, for example by a very narrowly formulated question, a limited literature search, or the execution of certain steps by one instead of two persons. DiscussionSystematic Reviews may be considered as the gold standard, but they were developed primarily for clinical questions relating to interventions. This article, however, focusses on review types that consider the diversity of questions as well as the predominant use of quantitative methods in the field of public health. The fact sheets developed and the decision tree should enable low-threshold access to reviews while linking the perspectives of research and resource planning. They complement existing guidelines and recommendations. ConclusionTo answer the diverse spectrum of public health questions, various types of reviews with various requirements and approaches are available. Given this diversity, a systematic introduction can be helpful for researchers planning or assessing a review.

Can Voice Reviews Enhance Trust in Voice Shopping? The Effects of Voice Reviews on Trust and Purchase Intention in Voice Shopping

Despite the high expectations of the voice shopping market, the impact of reviews and product types on voice commerce has yet to be explored. The purpose of this study is to investigate the effect of reviews and product types on users’ trust and purchase intentions in voice shopping. We explore users’ trust for voice shopping, trust in the vendor and purchase intention in three different types of reviews (i.e., no review, review by rating, and review by feature) and product types (i.e., search goods, experience goods, and convenience goods). We found that review conditions had a significant effect on purchase intentions and trust in voice shopping, whereas product types did not. Even within the review conditions, only the review by rating condition showed a significant difference from the no review condition. This study contributes to consumers and marketers by demonstrating the importance of providing rating reviews which requires a low cognitive load in the audio-centric environment.

Traceability System in Halal Procurement: A Bibliometric Review

Background: The increasing Muslim population worldwide will increase the Islamic market share in the future. Thus, the higher demand for halal food has caused the food industry to pay attention to the quality control system for the ingredients used. This paper aims to review the previous literature regarding the traceability system for halal suppliers in the food supply chain to achieve the specified halal standards. It discusses the literature review as a method for conducting research and offers an overview of different types of reviews, as well as some guidelines to both conduct and evaluate a literature review. Methods: The method uses a sample of about 200 articles from the structured literature study period in 2007–2021. We use Perish application to identify journals, articles, citations, authors, and keywords. Results: The analysis reveals five research topic clusters: traceability, halal supply chain, food supply chain, halal logistics, and halal lifestyle. There is a strong relationship between procurement and traceability. Procurement is related to the food industry and halal traceability. The food product traceability system provides transparency in food manufacturing, enabling customers to trust halal product claims. The results show that food supply chain information systems can enable traceability and transparency. Conclusions: The review of this analysis is related to the supplier traceability system in the halal-food-production supply chain, which can help explore halal supplier issues and trends. For future research, technology can be used within a traceability system in the halal food industry, such as data interchange, radio frequency identification, and blockchain.

PATHOLOGY, DIAGNOSIS, COMPLICATION, TREATMENT OF HYPERTENSION: A SYSTEMIC RESEARCH

Background. Hypertension is a chronic disease characterized by elevation of blood pressure. Blood pressure is defined as the pressure exerted by blood against the walls of arteries. It is measured as mm of mercury indicating that the pressure will be sustaining that much Height mercury as indicated. Method and material: We conducted this research paper by observing the different types of reviews, as well as conducting and evaluating literature review papers. Result. We have seen in this research that antihypertensive drugs are not able to cure high blood pressure, but will help in controlling the condition of high blood pressure. The health care professional who is treating the condition can advise what measures may be necessary. Conclusions. High blood pressure is prevalent around the world as our population is increasing and the aging of the population means that more and more people will suffer from high blood pressure. Therefore, the problem of diagnosis, treatment and control of hypertension is a big question arising in our coming days.

An Empirical Study on the Differences between Online Picture Reviews and Text Reviews

In the context of e-commerce, online travel agencies often derive useful information from online reviews to improve transactions. Based on the dispute on the usefulness of different types of reviews and social exchange theory, this study investigates how the characteristics of pictures and text influence review reading and review posting behaviors and thus influencing the efficiency of online review systems. By analyzing crawled data of online hotels and conducting experiments, we first find that picture reviews are more useful than text reviews, and high-quality pictures in reviews have a significant impact on review usefulness. Second, posting pictures requires review posters to pay more perceived costs. Third, negative review posters have higher perceived costs, so they are more unwilling to post pictures, especially high-quality pictures. Our results indicate that review platforms need to add incentives to encourage consumers to post high-quality picture reviews and design workable interfaces to reduce the burden of negative reviewers to speed up the purchase decision process for review readers. This study provides theoretical implications by demonstrating how the adoption of the picture in review systems influences both review readers’ and review posters’ behaviors. Additionally, our findings also provide useful managerial insights for online travel suppliers in terms of building an effective review system to promote sales.

A nine‐step pathway to conduct an umbrella review of literature

A nine‐step pathway to conduct an umbrella review of literature

JBI series paper 2: tailored evidence synthesis approaches are required to answer diverse questions: a pragmatic evidence synthesis toolkit from JBI

Evidence synthesis is critical in evidence-based healthcare and is a core program of JBI. JBI evidence synthesis is characterised by a pluralistic view of what constitutes evidence and is underpinned by a pragmatic ethos to facilitate the use of evidence to inform practice and policy. This second paper in this series provides a descriptive overview of the JBI evidence synthesis toolkit with reference to resources for 11 different types of reviews. Unique methodologies such as qualitative syntheses, mixed methods reviews, and scoping reviews are highlighted. Key features include standardised and collaborative processes for development of methodologies and a broad range of tailored resources to facilitate the conduct of a JBI evidence synthesis, including appraisal and data extraction tools, software to support the conduct of a systematic review and an intensive systematic review training program. JBI is one of the leading international protagonists for evidence synthesis, providing those who want to answer health-related questions with a toolkit of resources to synthesize the evidence.

The Teaching Methods and Strategies of Vocabulary for Beginners in Mainland China

The study investigates approaches and strategies for teaching vocabulary to students in Mainland China and compares the similarities and differences of a variety of teaching approaches as well as discussing the effectiveness of each of them. Literature review is used as a research method and offers an overview of different types of reviews. The analysis showed a strong correlation between teaching approaches and effectiveness of vocabulary acquisition of students in Mainland China.

Inter-rater agreement of scores to assess quality of care in public sector primary health care facilities – A pattern of performance

PurposeTo determine if the scores obtained from the Ideal Clinic Assessment Tool (ICAT) used to assess the quality of care in public Primary Health Care facilities in South Africa showed inter-rater agreement between self-assessments, district peer reviews and cross-district peer reviews. The ICAT scores obtained in the three types of reviews were paired as follows: self-assessments/district peer reviews, self-assessment/cross-district peer reviews and district/cross-district peer reviews. The global scores and averages of the Vital elements for the three paired reviews for 587 facilities across the country were compared using Bland-Altman plots. ResultsThe Bland-Altman plots showed no inter-rater agreement between the global scores and averages of the Vital elements for the facilities in any of the paired reviews (n = 1 761 reviews). Similarly, there was no inter-rater agreement between the global scores of the three paired reviews in any of the nine provinces in the country. ConclusionThere is still a need to continue to conduct both district and cross-district reviews despite the substantial cost of doing so. Further studies are required to determine what factors contributed to the disagreement in scores between the different types of reviews despite the preparatory training of reviewers.

What you need to know about scoping reviews

The increasing amount of evidence has caused an increasing amount of literature reviews. There are different types of reviews systematic reviews are the best known, and every type of review has different purposes. The scoping review is a recent model that aims to answer broad questions and identify and expose the available evidence for a broader question, using a rigorous and reproducible method. In the last two decades, researchers have discussed the most appropriate method to carry out scoping reviews, and recently the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for scoping reviews (PRISMA-ScR) reporting guideline was published. This is the fifth article of a methodological collaborative series of narrative reviews about general topics on biostatistics and clinical epidemiology. This review aims to describe what scoping reviews are, identify their objectives, differentiate them from other types of reviews, and provide considerations on how to carry them out.

Mapping and analysing reviews of research on teaching, 1980–2018, in Web of Science: An overview of a second‐order research topography

A third level of educational research is emerging, in addition to original research and secondary‐level reviews. Whereas most third‐level research syntheses focus on rather restricted topical areas, this study introduces a comparative and integrative overview of prominent second‐order research on teaching, including many different types of reviews and aspects of teaching. The purpose of the study is to illuminate patterns in a second‐order research topography in the widespread and multi‐faceted field of research on teaching from 1980 to the present, in order to discuss its implications for research and review‐making. The overview encompasses 75 most‐cited reviews of research on teaching published in international, refereed journals from 1980 to 2018 in the Web of Science. The overview utilised a specific coding procedure covering methodology, review topics and context. The study shows that several research traditions have contributed to advances in the research on teaching over time. Reviews have become more formalised, but the distribution of different types of review formats and research traditions is relatively constant. The single most established review format is meta‐analysis, but it is less dominant than might be expected in an era of evidence‐based education. The reviewers mainly belong to educational psychology, applied linguistics/research on language teaching, or research on science teaching. Whereas most reviews of research on science teaching are qualitative, reviews performed by psychologists and language‐education researchers are mainly quantitative or based on mixed methods as a way to rationally and cumulatively summarise and downsize unmanageable amounts of research.

Clash of the Titans: The Impact of Weiss on the Future of Judicial Conflicts in the EU

The paper deals with the recent Weiss/PSPP decisions of the Court of Justice of the European Union and the German Federal Constitutional Court, attempting to contextualise these decisions within previous conflicts between these two courts. The FCC’s case law is studied through the perspective of three different types of reviews it developed: fundamental rights review, ultra vires review and constitutional identity review. Then, a detailed analysis of the Weiss and PSPP cases is given in order to understand the repercussions of the first case in which the FCC officially exercised its proclaimed competences and declared the CJEU and ECB’s decisions as ultra vires, undermining fundamental principles of the EU legal order. This act could potentially lead to significant changes in current mechanisms of resolving disputes between the highest courts of the EU and national legal orders. Finally, the future of judicial conflicts is discussed through the analysis of the Weiler/Sarmiento model and the system (or lack of system) of resolving the conflicts currently in place. The paper concludes by highlighting that the Weiss/PSPP decisions could very well be those that finally stimulate a long-needed solution. Keywords: judicial conflicts, Bundesverfassungsgericht, judicial review, economic cooperation, Weiss, PSPP. This work is licensed under the Creative Commons Attribution − Non-Commercial − No Derivatives 4.0 International License. Suggested citation: L Oreskovic, ‘Clash of the Titans: The Impact of Weiss on the Future of Judicial Conflicts in the EU’ (2020) 16 CYELP 245.

Design, Development and Comparison of Heuristic Driven Algorithms Based on the Crossed Domain Products’ Reviews for User’s Summarization

Background:In recent time, people love online shopping but before any shopping feedbacks or reviews always required. These feedbacks help customers in decision making for buying any product or availing any service. In the country like India this trend of online shopping is increasing very rapidly because awareness and the use of internet which is increasing day by day. As result numbers of customers and their feedbacks are also increasing. It is creating a problem that how to read all reviews manually. So there should be some computerized mechanism that provides customers a summary without spending time in reading feedbacks. Besides big number of reviews another problem is that reviews are not structured.Objective:In this paper, we try to design, implement and compare two algorithms with manual approach for the crossed domain Product’s reviews.Methods:Lexicon based model is used and different types of reviews are tested and analyzed to check the performance of these algorithms.Results:Algorithm based on opinions and feature based opinions are designed, implemented, applied and compared with the manual results and it is found that algorithm # 2 is performing better than algorithm # 1 and near to manual results.Conclusion:Algorithm # 2 is found better on the different product’s reviews and still to be applied on other product’s reviews to enhance its scope. Finally, it will be helpful to automate existing manual process.