scholarly journals Machine Learning in Neuroimaging: A New Approach to Understand Acupuncture for Neuroplasticity

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Tao Yin ◽  
Peihong Ma ◽  
Zilei Tian ◽  
Kunnan Xie ◽  
Zhaoxuan He ◽  
...  

The effects of acupuncture facilitating neural plasticity for treating diseases have been identified by clinical and experimental studies. In the last two decades, the application of neuroimaging techniques in acupuncture research provided visualized evidence for acupuncture promoting neuroplasticity. Recently, the integration of machine learning (ML) and neuroimaging techniques becomes a focus in neuroscience and brings a new and promising approach to understand the facilitation of acupuncture on neuroplasticity at the individual level. This review is aimed at providing an overview of this rapidly growing field by introducing the commonly used ML algorithms in neuroimaging studies briefly and analyzing the characteristics of the acupuncture studies based on ML and neuroimaging, so as to provide references for future research.

2018 ◽  
Vol 43 (3) ◽  
pp. 529-552
Author(s):  
Rodney C. Runyan ◽  
Jeffrey G. Covin

Entrepreneurship and small business management literatures diverged decades ago, with the former receiving the bulk of subsequent scholarly attention. The concept of a small business orientation (SBO) has not been widely and consistently employed in the literature. We present a conceptual framework aimed at clarifying the construct of SBO, and conceptualize SBO as a firm size- and age-independent phenomenon operating at the individual level, and reflecting manager values about how the business ought to be conducted. We discuss the values-based derivation of SBO, identify elements of this multidimensional construct, its likely consequences, and propose future research directions.


Author(s):  
Rajat Gera ◽  
Priyanka Chadha ◽  
Shirin Alavi

This paper aims to synthesize and integrate the existing literature on MSA adoption and provide directions for future research through narrative review by classifying and organizing the accumulated knowledge into a thematic framework. The paper's theoretical, conceptual approaches, and results were organized into three themes: online distribution channel (theoretical approaches and antecedent factors of MSA adoption, consumer characteristics), advanced technology for in-store shopping (marketing aspects of MSA), and technology perspectives (technology aspects of MSA). The 25 theories of mobile shopping app (MSA) adoption and usage (at the individual level) from 22 reviewed papers were summarized, defined, and mapped with authors. Research questions have been proposed for theories used in reviewed papers and new theories. MSA adoption is at an emergent stage of evolution with fragmentation of theoretical and methodological approaches. While theories of technology adoption and behavioral intentions have been used predominantly, most studies have adopted a multi-theoretic approach or have extended/modified the model with hedonic, situational, and behavioral constructs. The findings related to consumer characteristics of MSA adoption, anchor constructs, moderator and mediator variables, and marketing and technology features of MSA are synthesized and organized according to the themes. Theoretical and practical implications are drawn, research limitations are identified, and future research directions are suggested.


2019 ◽  
Vol 11 (1) ◽  
pp. 81-97 ◽  
Author(s):  
Syed Awais Ahmad Tipu

Purpose This paper aims to review the academic literature on business plan competitions in developed and emerging economies to assess the contribution to the knowledge so far and identify research gaps. Design/methodology/approach A variety of databases (such as ABI/Inform Global, Academic Search Complete, Business Source Premier and Emerald Full Text) were used to find peer-reviewed journal articles. Regardless of time, different search terms were used to find relevant journal articles such as business plan competitions, business plan contests, business plan teams, business plan judges, business plan development and business plan scores. After a careful review of the identified articles, a total of 22 articles were included in the final review. The articles in the final set were manually coded using the thematic codes. Findings Despite the popularity of business plan competitions, limited academic literature exists, particularly in the context of emerging economies. A total of 16 out of 22 studies are conducted in developed economies. The findings suggest that the literature on business plan competitions is largely centered on the structure of business plan competitions, the characteristics of the participating teams and the benefits of business plan competitions. The individual level benefits of business plan competitions include the development of entrepreneurial skills, opportunity for networking and access to mentors. Business plan competitions can be better aligned with public policy, particularly in case of emerging economies. Therefore, a more focused and integrated approach among industry, academia and government in encouraging business plan competitions could potentially make a far-reaching impact in establishing an enterprising society. While much is known about the structure and the benefits of business plan competitions, there are various research gaps which need to be addressed. Originality/value The current paper is the first identifiable review of the literature on business plan competitions. The proposed questions for future research will potentially help in addressing the identified research gaps.


2016 ◽  
Vol 53 (2) ◽  
pp. 181-204 ◽  
Author(s):  
Lauri Rapeli

It is widely assumed that a representative democracy requires an enlightened citizenry in order to function properly. The competence of citizens has been studied extensively and the sociodemographic determinants of political sophistication are particularly well known. Much less is known about whether and how citizen competence affects electoral behaviour and outcomes. This article reviews the existing literature on these topics. Despite the widespread consensus that, generally speaking, citizen competence matters for electoral outcomes, the review produced a mixed result: some studies suggest that the political left would benefit from a better-informed electorate, while other studies suggest the opposite. Although the majoritarian electoral context is overrepresented in the evidence, the review shows that at the individual level, political knowledge greatly increases a person’s ability to match personal preferences with the right candidate or party in an election. The article also identifies several gaps in existing knowledge, thereby suggesting future research questions.


2016 ◽  
Vol 43 (5) ◽  
pp. 583-600 ◽  
Author(s):  
John H. Benamati ◽  
Zafer D. Ozdemir ◽  
H. Jeff Smith

This study extends privacy concerns research by providing a test of a model inspired by the ‘Antecedents – Privacy Concerns – Outcomes’ (APCO) framework. Focusing at the individual level of analysis, the study examines the influences of privacy awareness (PA) and demographic variables (age, gender) on concern for information privacy (CFIP). It also considers CFIP’s relationship to privacy-protecting behaviours and incorporates trust and risk into the model. These relationships are tested in a specific, Facebook-related context. Results strongly support the overall model. PA and gender are important explanators for CFIP, which in turn explains privacy-protecting behaviours. We also find that perceived risk affects trust, which in turn affects behaviours in the studied context. The results yield several recommendations for future research as well as some implications for management.


2021 ◽  
pp. 073428292110576
Author(s):  
Gordon L. Flett

While the importance of having self-esteem is widely recognized and has been studied extensively, another core component of the self-concept has been relatively neglected—a sense of mattering to other people. In the current article, it is argued that mattering is an entirely unique and complex psychological construct with great public appeal and applied significance. The various ways of assessing mattering are reviewed and evidence is summarized, indicating that mattering is a vital construct in that deficits in mattering are linked with consequential outcomes at the individual level (i.e., depression and suicidal tendencies), the relationship level (i.e., relationship discord and dissolution), and the societal level (i.e., delinquency and violence). Contemporary research is described which shows that mattering typically predicts unique variance in key outcomes beyond other predictor variables. Mattering is discussed as double-edged in that mattering is highly protective but feelings of not mattering are deleterious, especially among people who have been marginalized and mistreated. The article concludes with an extended discussion of key directions for future research and an overview of the articles in this special issue. It is argued that a complete view of the self and personal identity will only emerge after we significantly expand the scope of inquiry on the psychology of mattering.


2019 ◽  
Vol 24 (1) ◽  
pp. 55-69
Author(s):  
Saulius Olencevicius

Feedback intervention research historically transformed focus from using single to using multidimensional factor analyses. Since researchers have been traditionally interested in determining how to predict future human behavior, the complexity of the feedback intervention research has grown gradually. The importance and multidimensionality of feedback construct on the individual level is presented by the key theories, which are reflected in the historical context, starting from the first “Law of effect”, up to the hybrid “Feedback Intervention Theory”. As a conclusion, possible future research direction is presented.


Politics ◽  
2019 ◽  
Vol 40 (1) ◽  
pp. 3-21 ◽  
Author(s):  
Steven M Van Hauwaert ◽  
Christian H Schimpf ◽  
Flavio Azevedo

Recent research in the populism literature has devoted considerable efforts to the conceptualisation and examination of populism on the individual level, that is, populist attitudes. Despite rapid progress in the field, questions of adequate measurement and empirical evaluation of measures of populist attitudes remain scarce. Seeking to remedy these shortcomings, we apply a cross-national measurement model, using item response theory, to six established and two new populist indicators. Drawing on a cross-national survey (nine European countries, n = 18,368), we engage in a four-folded analysis. First, we examine the commonly used 6-item populism scale. Second, we expand the measurement with two novel items. Third, we use the improved 8-item populism scale to further refine equally comprehensive but more concise and parsimonious populist measurements. Finally, we externally validate these sub-scales and find that some of the proposed sub-scales outperform the initial 6- and 8-item scales. We conclude that existing measures of populism capture moderate populist attitudes, but face difficulties measuring more extreme levels, while the individual information of some of the populist items remains limited. Altogether, this provides several interesting routes for future research, both within and between countries.


2020 ◽  
Vol 21 (20) ◽  
pp. 7684
Author(s):  
Laura Orsolini ◽  
Michele Fiorani ◽  
Umberto Volpe

Bipolar disorder (BD) is a complex neurobiological disorder characterized by a pathologic mood swing. Digital phenotyping, defined as the ‘moment-by-moment quantification of the individual-level human phenotype in its own environment’, represents a new approach aimed at measuring the human behavior and may theoretically enhance clinicians’ capability in early identification, diagnosis, and management of any mental health conditions, including BD. Moreover, a digital phenotyping approach may easily introduce and allow clinicians to perform a more personalized and patient-tailored diagnostic and therapeutic approach, in line with the framework of precision psychiatry. The aim of the present paper is to investigate the role of digital phenotyping in BD. Despite scarce literature published so far, extremely heterogeneous methodological strategies, and limitations, digital phenotyping may represent a grounding research and clinical field in BD, by owning the potentialities to quickly identify, diagnose, longitudinally monitor, and evaluating clinical response and remission to psychotropic drugs. Finally, digital phenotyping might potentially constitute a possible predictive marker for mood disorders.


2015 ◽  
Vol 11 (2) ◽  
pp. 29-61 ◽  
Author(s):  
Zeying Wan ◽  
Nicole Haggerty ◽  
Yinglei Wang

Since the emergence of the knowledge-based view of the firm in the mid-1990, researchers have made considerable effort to untangle the complexity of how individuals create, capture and realize value from knowledge. To date, this burgeoning field has offered rich and yet diverse insights involving contextual, process and outcome factors that influence individual level knowledge transfer. Concomitantly globalization and advancing technologies have extended virtual work arrangements such as virtual teams and virtual communities on the internet and considerably extended the knowledge base upon which individuals can draw when creating, acquiring, sharing and integrating knowledge. Research on individual level knowledge transfer has also embraced these virtual environments spawning new insights. Hence the objective of this paper is to assess current state of research and identify potential avenues for future research at the intersection of these two dimensions. The authors focus specifically on knowledge transfer research at the individual level instead of the team or firm level and within virtual settings. Applying a process view of knowledge transfer, they synthesize existing findings and discuss issues surrounding the inputs, processes, and outputs. The synthesis reveals both strengths and gaps in the literature. Accordingly, the authors offer directions for future research that may address the gaps and contribute to a more comprehensive understanding of individual level knowledge transfer in virtual settings.


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