scholarly journals Survey on Om meditation: Its effects on the human body and Om meditation as a tool for stress management

2019 ◽  
Vol 12 (1) ◽  
pp. 1-11
Author(s):  
Bhavna P. Harne ◽  
Azra A. Tahseen ◽  
Anil S. Hiwale ◽  
Ram S. Dhekekar
Keyword(s):  
Future Research ◽  
Human Beings ◽  
Research Directions ◽  
Positive Effects ◽  
Research Areas ◽  
Future Research Directions ◽  
Work Done ◽  
The Brain ◽  
Relevant Work ◽  
Larger Sample

Meditation and yoga both have positive effects on physical, as well as mental health. Om mantra chanting, a simple and easy to practice, also comes under the aspect of meditation. The “Om” mantra is also considered as the very name of the absolute. Om meditation not only affects the various parts of the brain, such as pre-frontal cortex, vagus nerve, amygdala and others but also affects the heart rate and respiratory rate. Considering the healing effects of Om meditation, through this paper, we are trying to explore all the relevant work done in the field of Om meditation. The survey includes a large number of papers covering the research previously conducted by many researchers, their results and different techniques adopted to study the effect of Om meditation on human beings. Studies on Om meditation are categorized under four different heads: Neuroimaging studies, EEG studies, evoked potentials studies and other methods studies. Even though the existing research evidenced capability of Om meditation in curing anxiety and depression, more rigorous studies with better design, with larger sample size and with different control groups are required. Especially the need to explore untouched research areas of Loud Om meditation using EEG is suggested in the paper. Furthermore, future research directions are also suggested.

A Review of Minimum Quantity Lubrication (MQL) based on Bibliometry

2020 ◽  
Vol 13 ◽  
Author(s):  
Gaurav Gaurav ◽  
Abhay Sharma ◽  
G S Dangayach ◽  
M L Meena
Keyword(s):  
Descriptive Analysis ◽  
Minimum Quantity Lubrication ◽  
Citation Network ◽  
Machining Process ◽  
Cutting Fluid ◽  
Future Research ◽  
Research Directions ◽  
Minimum Quantity ◽  
Research Areas ◽  
Future Research Directions

Background: Minimum quantity lubrication (MQL) is one of the most promising machining techniques that can yield a reduction in consumption of cutting fluid more than 90 % while ensuring the surface quality and tool life. The significance of the MQL in machining makes it imperative to consolidate and analyse the current direction and status of research in MQL. Objective: This study aims to assess global research publication trends and hot topics in the field of MQL among machining process. The bibliometric and descriptive analysis are the tools that the investigation aims to use for the data analysis of related literature collected from Scopus databases. Methods: Various performance parameters are extracted, such as document types and languages of publication, annual scientific production, total documents, total citations, and citations per article. The top 20 of the most relevant and productive sources, authors, affiliations, countries, word cloud, and word dynamics are assessed. The graphical visualisation of the bibliometric data is presented in terms of bibliographic coupling, citation, and co-citation network. Results: The investigation reveals that the International Journal of Machine Tools and Manufacture (2611 citations, 31 hindex) is the most productive journal that publishes on MQL. The most productive institution is the University of Michigan (32 publications), the most cited country is Germany (1879 citations), and the most productive country in MQL is China (124 publications). The study shows that ‘Cryogenic Machining’, ‘Sustainable Machining’, ‘Sustainability’, ‘Nanofluid’ and ‘Titanium alloy’ are the most recent keywords and indications of the hot topics and future research directions in the MQL field. Conclusion: The analysis finds that MQL is progressing in publications and the emerging with issues that are strongly associated with the research. This study is expected to help the researchers to find the most current research areas through the author’s keywords and future research directions in MQL and thereby expand their research interests.

The Caregiving System Scale

2021 ◽  
Author(s):  
Daiana Colledani ◽  
Anna M. Meneghini ◽  
Mario Mikulincer ◽  
Phillip R. Shaver
Keyword(s):  
Factor Structure ◽  
Future Research ◽  
Human Beings ◽  
Research Directions ◽  
Gender Invariance ◽  
Caregiving System ◽  
Attachment Orientations ◽  
Behavioral System ◽  
Future Research Directions ◽  
Provision Of Care

Abstract. According to attachment theory, the propensity of human beings to care for others is governed by an inborn caregiving behavioral system that aims to promote welfare and reduce the distress of other people through effective provision of care. However, some individuals may develop non-optimal caregiving strategies, such as anxious hyperactivation and avoidant deactivation. These two non-optimal caregiving strategies can be evaluated in adults using the Caregiving System Scale (CSS). Recent findings suggested that the factor structure of the instrument may be more complex than was intended. The present work examines in-depth the factor structure of the CSS to provide a clearer understanding of the underlying dimensions. Gender invariance and the contribution of attachment orientations to CSS scores are also examined. Findings reveal that, whereas the CSS-deactivation subscale is unidimensional, the CSS-hyperactivation subscale is better represented by two distinct yet related constructs – caregiving-related worries/doubts and intrusive/coercive caregiving. Partial strict gender invariance is supported. The contribution of attachment orientations to non-optimal caregiving strategies is consistent with theoretical expectations. Results and future research directions are discussed in the final section.

Managing Human Resources in Family Businesses

2014 ◽  
pp. 96-112 ◽  
Author(s):  
Santiago Gutiérrez-Broncano ◽  
Mercedes Rubio-Andrés ◽  
Pedro Jiménez Estévez
Keyword(s):  
Human Capital ◽  
Human Resources ◽  
High Performance ◽  
Negative Impact ◽  
Business Owners ◽  
Family Businesses ◽  
Future Research ◽  
Research Directions ◽  
Positive Effects ◽  
Future Research Directions

Although a lot of research has been carried out in the field of family businesses in recent years, not much of it has focused on human resource management. After compiling the major studies, both negative aspects (e.g. nepotism) and positive ones (e.g. employee commitment) have been identified. Therefore, the authors propose high-performance human resources practices to reduce the negative impact of family in business and boost the positive effects, increase their human capital, and achieve a competitive advantage in this field. Finally, the authors provide key insights for practitioners, family business owners, and managers, and they propose future research directions.

Effects of Information Technology on Business Performance and the Use of Accounting Measures

2015 ◽  
pp. 285-294
Author(s):  
Jorge A. Romero
Keyword(s):  
Information Technology ◽  
Firm Performance ◽  
Business Performance ◽  
Future Research ◽  
Research Directions ◽  
It Investments ◽  
Positive Effects ◽  
Different Types ◽  
Future Research Directions ◽  
Area Of Study

The understanding of the link between Information Technology (IT) investments and firm performance is still not completely understood in spite of numerous studies. However, these studies are not united in how they examine the effects of IT on business performance. They differ in their criteria, methodologies, and samples. Therefore, while there are positive effects associated with IT on firm performance, it is still difficult to reach overarching conclusions and highlight that there is still a need for further research. Specifically, this chapter contributes to this area of study by discussing the different types of benefits that firms can get from IT investments, examining the use of accounting variables to quantify the effect of IT, and providing future research directions.

Central Language Hypothesis in the Decision-Making Process

2016 ◽  
pp. 66-83 ◽  
Author(s):  
Duygu Buğa
Keyword(s):  
Decision Making ◽  
Theoretical Framework ◽  
Future Research ◽  
Limbic Cortex ◽  
Decision Making Process ◽  
Discussion Section ◽  
Research Directions ◽  
Additional Information ◽  
Future Research Directions ◽  
The Brain

The purpose of this chapter is to explore the potential connection between neuroeconomics and the Central Language Hypothesis (CLH) which refers to the language placed within the subconscious mind of an individual. The CLH forwards that in the brains of bilingual and multilingual people, one language is more suppressive as it dominates reflexes, emotions, and senses. This central language (CL) is located at the centre of the limbic cortex of the brain. Therefore, when there is a stimulus on the limbic cortex (e.g., fear, anxiety, sadness), the brain produces the central language. The chapter begins with an Introduction followed by a Theoretical Framework. The next section discusses the neurolinguistic projection of the central language and includes the survey and the results used in this study. The Discussion section provides additional information regarding the questionnaire and the CLH, followed by Future Research Directions, Implications, and finally the Conclusion.

scholarly journals Supply chain risk management modelling: A systematic literature network analysis review

2020 ◽  
Vol 31 (4) ◽  
pp. 387-416
Author(s):  
Marcus Vinicius Carvalho Fagundes ◽  
Eduardo Oliveira Teles ◽  
Silvio A B Vieira de Melo ◽  
Francisco Gaudêncio Mendonça Freires
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Network Analysis ◽  
Future Research ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Risk Models ◽  
Research Directions ◽  
Research Areas ◽  
Future Research Directions

Abstract The modelling of supply chain risk management (SCRM) has attracted increasing attention from researchers and professionals. However, a systematic network analysis of the literature to understand the development of research over time is lacking. Therefore, this study reviews SCRM modelling and its evolution as a scientific field. We collected 566 papers published in the Scopus database and shortlisted 120 for review. We have analysed the field's performance, mapped the most influential studies, as well as the generative and evolutionary research areas, and derived future research directions. Using bibliometric methods and tools for citation network analysis to understand the field's dynamic development, we find that five generative research areas provide the fundamental knowledge for four evolutionary research areas. The interpretation of gaps and trends in these areas provides an SCRM modelling timeline with 14 future research directions, which should consider adopting a holistic SCRM approach and developing prescriptive and normative risk models. The holistic approach enables more research on key factors—like process integration, design, information risk, visibility and risk coordination—that directly impact industry, decision-makers and sustainability needs. Risk models with evolved prescriptive and normative typology should respect both business model strategies and actual supply chain performance.

Machine Learning and Cognitive Algorithms for Engineering Applications

2013 ◽  
Vol 7 (4) ◽  
pp. 64-82 ◽  
Author(s):  
Leonid Perlovsky ◽  
Gary Kuvich
Keyword(s):  
Fuzzy Logic ◽  
Cognitive Processes ◽  
Future Research ◽  
Abstract Concepts ◽  
Cognitive Mechanisms ◽  
Research Directions ◽  
Semiotic Approach ◽  
Future Research Directions ◽  
The Brain ◽  
Universal Representation

Mind is based on intelligent cognitive processes, which are not limited by language and logic only. The thought is a set of informational processes in the brain, and such processes have the same rationale as any other systematic informational processes. Their specifics are determined by the ways of how brain stores, structures, and process this information. Systematic approach allows representing them in a diagrammatic form that can be formalized. Semiotic approach allows for the universal representation of such diagrams. In that approach, logic is a way of synthesis of such structures, which is a small but clearly visible top of the iceberg. The most efforts were traditionally put into logics without paying much attention to the rest of the mechanisms that make the entire thought system working autonomously. Dynamic fuzzy logic is reviewed and its connections with semiotics are established. Dynamic fuzzy logic extends fuzzy logic in the direction of logic-processes, which include processes of fuzzification and defuzzification as parts of logic. The paper reviews basic cognitive mechanisms, including instinctual drives, emotional and conceptual mechanisms, perception, cognition, language, a model of interaction between language and cognition upon the new semiotic models. The model of interacting cognition and language is organized in an approximate hierarchy of mental representations from sensory percepts at the “bottom” to objects, contexts, situations, abstract concepts-representations, and to the most general representations at the “top” of mental hierarchy. Knowledge Instinct and emotions are driving feedbacks for these representations. Interactions of bottom-up and top-down processes in such hierarchical semiotic representation are essential for modeling cognition. Dynamic fuzzy logic is analyzed as a fundamental mechanism of these processes. Future research directions are discussed.

scholarly journals Bibliometric and Visualized Analysis of Mobile Technology in Tourism

2020 ◽  
Vol 12 (19) ◽  
pp. 7975
Author(s):  
Sirong Chen ◽  
Rob Law ◽  
Shaogui Xu ◽  
Mu Zhang
Keyword(s):  
Communication Technology ◽  
Mobile Technology ◽  
Web Of Science ◽  
Future Research ◽  
Research Directions ◽  
Research Areas ◽  
Research Fields ◽  
Fifth Generation ◽  
Future Research Directions ◽  
Mobile Communication Technology

With the advent of the fifth-generation mobile communication technology era, mobile technology will further change tourism. However, studies on mobile technology in tourism from the perspective of bibliometrics and visualization are limited. This research aimed to systematically, comprehensively, and objectively analyze the current research status and potential future research directions in this field through a visual bibliometric analysis of mobile technology research in tourism. This study used CiteSpace software to analyze 803 related journal papers from the Web of Science Core Collection and provided insights into the research of mobile technology in tourism from the aspects of research trends, research areas, top journals, author/institution/country or region collaboration networks, research keywords, and research foundations. The study can help related personnel in academia and industry to fully understand the research of mobile technology in tourism and provides valuable references for related research fields on bibliometric and visualized analysis.

scholarly journals Industry 4.0 Technologies for Manufacturing Sustainability: A Systematic Review and Future Research Directions

2021 ◽  
Vol 11 (12) ◽  
pp. 5725
Author(s):  
Anbesh Jamwal ◽  
Rajeev Agrawal ◽  
Monica Sharma ◽  
Antonio Giallanza
Keyword(s):  
Industry 4.0 ◽  
Industrial Revolution ◽  
Big Data Analytics ◽  
Research Progress ◽  
Smart Manufacturing ◽  
Future Research ◽  
Business Practices ◽  
Research Directions ◽  
Research Areas ◽  
Future Research Directions

Recent developments in manufacturing processes and automation have led to the new industrial revolution termed “Industry 4.0”. Industry 4.0 can be considered as a broad domain which includes: data management, manufacturing competitiveness, production processes and efficiency. The term Industry 4.0 includes a variety of key enabling technologies i.e., cyber physical systems, Internet of Things, artificial intelligence, big data analytics and digital twins which can be considered as the major contributors to automated and digital manufacturing environments. Sustainability can be considered as the core of business strategy which is highlighted in the United Nations (UN) Sustainability 2030 agenda and includes smart manufacturing, energy efficient buildings and low-impact industrialization. Industry 4.0 technologies help to achieve sustainability in business practices. However, very limited studies reported about the extensive reviews on these two research areas. This study uses a systematic literature review approach to find out the current research progress and future research potential of Industry 4.0 technologies to achieve manufacturing sustainability. The role and impact of different Industry 4.0 technologies for manufacturing sustainability is discussed in detail. The findings of this study provide new research scopes and future research directions in different research areas of Industry 4.0 which will be valuable for industry and academia in order to achieve manufacturing sustainability with Industry 4.0 technologies.

scholarly journals A Bibliometrics Analysis of Metformin Development From 1980 to 2019

2021 ◽  
Vol 12 ◽  
Author(s):  
Yanjun Song ◽  
Pei Ma ◽  
Yu Gao ◽  
Peigen Xiao ◽  
Lijia Xu ◽  
...  
Keyword(s):  
Wide Spectrum ◽  
Basic Research ◽  
Future Research ◽  
Knowledge Map ◽  
Research Directions ◽  
Glucose Lowering ◽  
Research Areas ◽  
Future Research Directions ◽  
Bibliometrics Analysis

Metformin, the first-line oral blood glucose-lowering agent to manage type 2 diabetes, has gained growing popularity on both clinical application and basic research since early 1980s. A thorough and systematic knowledge map of metformin is pertinent to evaluate the research frontier and determine knowledge gaps. To this end, 20, 526 publications were analyzed by bibliometrics and data visualization to demonstrate the current global research status, potential hotspots, and perspectives on future research directions. In addition, the metformin development along the historical line was illustrated over the last 40 years. In sum, this study provides a comprehensive analysis that delineates the evolution of the historical milestones of metformin development, and we discuss the future research directions based on objective data analysis from a wide spectrum of metformin research areas.

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