scholarly journals A Predictive Model for Emotion Recognition Based on Individual Characteristics and Autonomic Changes

2021 ◽  
Author(s):  
Ateke Goshvarpour ◽  
◽  
Atefeh Goshvarpour ◽  
Ataollah Abbasi ◽  
◽  
...  
Keyword(s):  
Emotion Recognition ◽  
Predictive Model ◽  
Individual Characteristics ◽  
Affective Stimuli ◽  
Autonomic Changes ◽  
Gender And Age ◽  
The Subject ◽  
Individual Variables ◽  
Insight Into ◽  
Subject Characteristics

Introduction: The importance of individual differences in the problem of emotion recognition has been repeatedly stated in the studies. The major concentration of this study was the prediction of heart rate variability (HRV) changes due to affective stimuli from the subject characteristics. These features were age (A), gender (G), linguality (L), and sleep (S) information. In addition, the most potent combination of individual variables (like gender and age (GA) or age, linguality, and sleep (ALS)) in the estimation of emotional HRV was explored. Methods: To this end, HRV indices of 47 college students exposed to images with four emotional categories, including happy, sad, afraid, and relaxed were analyzed. Then, a novel predictive model was introduced based on the regression equation. Results: The results showed distinctive emotional situations provoke the importance of different individual variable combinations. Generally, the most satisfactory variable arrangement in the prediction of HRV changes due to affective provocations was LS, GL, GA, ALS, and GALS. However, considering each subject separately, these combinations were changed. Conclusion: In conclusion, the suggested simple model is effective in offering new insight into the emotion studies regarding subject characteristics and autonomic parameters.

Importance of the Intersection of Library and Information Sciences with Systems Theory

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Hannah Lee
Keyword(s):  
System Theory ◽  
General System ◽  
General System Theory ◽  
Von Bertalanffy ◽  
Meta Level ◽  
Professional Field ◽  
The Subject ◽  
Critical Insight ◽  
Insight Into ◽  
Information Sciences

This paper is the attempt to show how system theory could provide critical insight into the transdisciplinary field of library and information sciences (LIS). It begins with a discussion on the categorization of library and information sciences as an academic and professional field (or rather, the lack of evidence on the subject) and what is exactly meant by system theory, drawing upon the general system theory established by Ludwig von Bertalanffy. The main conversation of this paper focuses on the inadequacies of current meta-level discussions of LIS and the benefits of general system theory (particularly when considering the exponential rapidity in which information travels) with LIS.

Mobile-Friendly Dashboards to Display Associations Between Cited-by and Similar Journals on Mobile Health Research: A Bibliometric Study (Preprint)

2018 ◽  
Author(s):  
Tsair-Wei Chien ◽  
Hsien-Yi Wang ◽  
Yang Shao ◽  
Willy Chou
Keyword(s):  
Social Network ◽  
Mobile Health ◽  
Health Research ◽  
Similarity Criteria ◽  
Network Density ◽  
Deep Insight ◽  
Density Indices ◽  
The Subject ◽  
The Given ◽  
Insight Into

BACKGROUND Researchers often spend a great deal of time and effort retrieving related journals for their studies and submissions. Authors often designate one article and then retrieve other articles that are related to the given one using PubMed’s service for finding cited-by or similar articles. However, to date, none present the association between cited-by and similar journals related to a given journal. Authors need one effective and efficient way to find related journals on the topic of mobile health research. OBJECTIVE This study aims (1) to show the related journals for a given journal by both cited-by and similarity criteria; (2) to present the association between cited-by and similarity journals related to a given journal; (3) to inspect the patterns of network density indices among clusters classified by social network analysis (SNA); (4) to investigate the feature of Kendall's coefficient(W) of concordance. METHODS We obtained 676 abstracts since 2013 from Medline based on the keywords of ("JMIR mHealth and uHealth"[Journal]) on June 30, 2018, and plotted the clusters of related journals on Google Maps by using MS Excel modules. The features of network density indices were examined. The Kendall coefficient (W) was used to assess the concordance of clusters across indices. RESULTS This study found that (1) the journals related to JMIR mHealth and uHealth are easily presented on dashboards; (2) a mild association(=0.14) exists between cited-by and similar journals related to JMIR mHealth and uHealth; (3) the median Impact Factor were 3.37 and 2.183 based on the representatives of top ten clusters grouped by the cited-by and similar journals, respectively; (4) all Kendall’s coefficients(i.e., 0.82, 0.89, 0.92, and 0.75) for the four sets of density centrality have a statistically significant concordance (p < 0.05). CONCLUSIONS SNA provides deep insight into the relationships of related journals to a given journal. The results of this research can provide readers with a knowledge and concept diagram to use with future submissions to a given journal in the subject category of Mobile Health Research. CLINICALTRIAL Not available

Past, Present, Future: An Overview of Roman Malta

2021 ◽  
Vol 7 (1) ◽  
pp. 231-255
Author(s):  
David Cardona
Keyword(s):  
Seventeenth Century ◽  
Predictive Model ◽  
Clear Picture ◽  
Maltese Islands ◽  
Restricted Number ◽  
The Subject ◽  
New Research

Abstract Roman Malta has been the subject of numerous historical and archaeological studies since the seventeenth century. However, the lack of documented excavations and the restricted number of sites – particularly those within the boundaries of the two main Roman towns – meant that numerous grey areas persist in our understanding of the islands under Roman rule, regardless of how many studies have been done so far. This article attempts to provide an overview of past works, studies and a discussion of the known consensus on knowledge of sites, populations and economies. This in an attempt to provide a clear picture of what we know (and what we do not) about Roman Malta. Finally, I will comment on current and new research and projects which are being carried out by various local entities and foreign institutions to enhance our knowledge of this very important historic era for the Maltese islands. This culminates into a proposal for the use of a predictive model that may help us identify new sites and, consequently, provide new data on this phase.

Corruption Measurements: Caught Between Conceptualizing the Phenomenon and Promoting New Governance Agenda?

2021 ◽  
pp. 097226292098394
Author(s):  
Kannan Perumal
Keyword(s):  
Data Aggregation ◽  
Policy Advocacy ◽  
New Governance ◽  
Methodological Issues ◽  
Topic Evolution ◽  
Theoretical Perspectives ◽  
Control Framework ◽  
The Subject ◽  
Theoretical Issues ◽  
Insight Into

The work ‘Corruption Measurements: Caught Between Conceptualizing the Phenomenon and Promoting New Governance Agenda?’ is a qualitative study based on reviewing the literature available on the subject. It starts with the introduction that explains the evolution of the idea of measuring corruption, its relevance to governance and associated theoretical issues. The topic, ‘Evolution of Corruption Measurements’ gives an overview about different corruption indices. While the topic ‘Challenges to Corruption Measurements’ briefly introduces the challenges faced by corruption measurements, the topics ‘Conceptualizing Corruption’ and ‘Methodological Issues’ give insight into the contentions faced by corruption measurements from different theoretical perspectives. Also, explained in these sections are how the corruption measurements have conceptualized corruption over the period of three decades; and how do they keep evolving their methods in order to become more relevant in policy advocacy. Issues associated with data aggregation also are explained in-depth in this work. This work demonstrates that though continuous methodological evolution and empirical research have helped corruption measurements to improve their acceptance level, the gap that exist between corruption control framework and practice will remain a challenge to address in future if corruption measurements do not genuinely account the contextual realities.

Why Does He Do It? What Explanations Resonate During Counseling for Women in Understanding Their Partner’s Abuse?

2021 ◽  
pp. 088626052198985
Author(s):  
Sally Marsden ◽  
Cathy Humphreys ◽  
Kelsey Hegarty
Keyword(s):  
Partner Violence ◽  
Research Question ◽  
Critical Role ◽  
Mental Health Research ◽  
Individual Characteristics ◽  
Clinical Group ◽  
Structured Interviews ◽  
Women’S Perceptions ◽  
Ipv Perpetration ◽  
Insight Into

Intimate partner violence (IPV) is a complex and multifaceted problem gaining increasing attention within mental health research and practice. IPV explanations focus on both individual and systemic levels; however, it is increasingly acknowledged that a single level explanation may not be sufficient. The practices of clinical disciplines may, however, still privilege an explanation at one level over another, which will influence how they work with clients. It is likely that one such clinical group, psychologists, may play a critical role in helping victim-survivors to understand and explain their experiences of IPV. However, we were unable to find any studies focusing on women’s perceptions of psychologists’ role in this. Additionally, we know little about women victim-survivors’ perceptions of why their partners use IPV. To address these gaps, the research question for this study was: What explanations resonate during counseling for women in understanding their partner’s abuse? To explore this question, 20 women who had seen psychologists after experiencing IPV participated in semi-structured interviews. The interviews were analyzed using reflexive thematic analysis and three themes constructed from the data. The first two themes, narcissist description was helpful and not all bad all the time, showed that the women found it powerful in their healing processes when psychologists offered the opportunity to discuss their partners individual characteristics as explanations for their use of IPV. The third theme, structural explanations, showed that some of the women also reflected on wider structural contexts. Implications for clinical practice include the potential healing effect when practitioners can move along a continuum of explanation levels, covering both the inner and outer worlds. Implications for research into IPV perpetration are that women hold expertise and insight into individual perpetrators and could make valuable contributions to this field.

Newsmaking criminology in Australia and New Zealand: Results from a mixed methods study of criminologists’ media engagement

2019 ◽  
Vol 53 (1) ◽  
pp. 84-101 ◽  
Author(s):  
Mary Iliadis ◽  
Imogen Richards ◽  
Mark A Wood
Keyword(s):  
New Zealand ◽  
News Media ◽  
The United States ◽  
Mixed Methods Study ◽  
The Past ◽  
Professional Duty ◽  
The Subject ◽  
Survey Responses ◽  
Insight Into ◽  
Newsmaking Criminology

‘Newsmaking criminology’, as described by Barak, is the process by which criminologists contribute to the generation of ‘newsworthy’ media content about crime and justice, often through their engagement with broadcast and other news media. While newsmaking criminological practices have been the subject of detailed practitioner testimonials and theoretical treatise, there has been scarce empirical research on newsmaking criminology, particularly in relation to countries outside of the United States and United Kingdom. To illuminate the state of play of newsmaking criminology in Australia and New Zealand, in this paper we analyse findings from 116 survey responses and nine interviews with criminologists working in universities in these two countries, which provide insight into the extent and nature of their news media engagement, and their related perceptions. Our findings indicate that most criminologists working in Australia or New Zealand have made at least one news media appearance in the past two years, and the majority of respondents view news media engagement as a professional ‘duty’. Participants also identified key political, ethical, and logistical issues relevant to their news media engagement, with several expressing a view that radio and television interviewers can influence criminologists to say things that they deem ‘newsworthy’.

scholarly journals Breach of Treaties in the Ancient Near East

2018 ◽  
Vol 20 (1) ◽  
pp. 31-56
Author(s):  
Gábor Sulyok
Keyword(s):  
Old Testament ◽  
Relative Abundance ◽  
Near East ◽  
Ancient Near East ◽  
Persistent Problem ◽  
History Of ◽  
The Subject ◽  
Abundance And Diversity ◽  
Insight Into

AbstractThe history of the breach of treaties can be traced back to the ancient Near East. The relative abundance and diversity of contemporary sources attest that the breaking of treaty obligations must have been a rather persistent problem, and that such occurrences were regarded as events of utmost importance throughout the Bronze and Iron Ages. The present study strives to demonstrate how peoples of old may have perceived and reacted to the breach of treaties on the basis of selected writings—the Legend of Etana, the Indictment of Madduwatta, the Indictment of Mita, the plague prayers of Mursili and the Old Testament—that provide, beyond the exposition of actual or alleged facts, a deeper insight into the psychological and procedural aspects of the subject.

scholarly journals Bullying and Cyberbullying among Italian Adolescents: The Influence of Psychosocial Factors on Violent Behaviours

2021 ◽  
Vol 18 (4) ◽  
pp. 1558
Author(s):  
Antonio Tintori ◽  
Giulia Ciancimino ◽  
Giorgio Giovanelli ◽  
Loredana Cerbara
Keyword(s):  
Protective Factors ◽  
Binary Logistic Regression ◽  
Well Being ◽  
Risk And Protective Factors ◽  
Individual Characteristics ◽  
Bivariate Analysis ◽  
Binary Logistic Regression Model ◽  
Social Discomfort ◽  
Individual Variables ◽  
Statistical Sample

Background: The study of adolescents’ behaviours and attitudes is crucial to define interventions for the containment of deviance and social discomfort. New ways of social interaction are crystallising violent behaviours which are moving more than ever on a virtual sphere. Bullying and cyberbullying share a common behavioural matrix that has been outlined through specific environmental and individual characteristics. Methods: A survey carried out in Italy in 2019 on a statistical sample of 3273 students highlighted the influence of several social and individual variables on deviant phenomena. Risk and protective factors in relation to the probability of involvement in bullying and cyberbullying have been shown through a bivariate analysis and a binary logistic regression model. Results: The study shows that presence of stereotypes and social prejudices, tolerance to violence and high levels of self-esteem have resulted as the main risk factors. On the other hand, low levels of tolerance related to the consumption of alcohol and drugs, high levels of trust towards family and friends and being female have been identified as protective factors. Conclusions: This research confirms the validity of several theories on bullying and cyberbullying phenomena. Furthermore, it identifies specific risk and protective factors and their influence on deviant behaviours, with a focus on environmental characteristics which appear as the key field of work to enhance adolescents’ well-being.

scholarly journals Predictive Model of Gait Recovery at One Month after Hip Fracture from a National Cohort of 25,607 Patients: The Hip Fracture Prognosis (HF-Prognosis) Tool

2021 ◽  
Vol 18 (7) ◽  
pp. 3809
Author(s):  
Cristina González de Villaumbrosia ◽  
Pilar Sáez López ◽  
Isaac Martín de Diego ◽  
Carmen Lancho Martín ◽  
Marina Cuesta Santa Teresa ◽  
...  
Keyword(s):  
Hip Fracture ◽  
Predictive Model ◽  
Weight Bearing ◽  
Individual Characteristics ◽  
Predicted Probability ◽  
National Cohort ◽  
Probability Threshold ◽  
Anesthetic Risk ◽  
Validation Set ◽  
Operative Delay

The aim of this study was to develop a predictive model of gait recovery after hip fracture. Data was obtained from a sample of 25,607 patients included in the Spanish National Hip Fracture Registry from 2017 to 2019. The primary outcome was recovery of the baseline level of ambulatory capacity. A logistic regression model was developed using 40% of the sample and the model was validated in the remaining 60% of the sample. The predictors introduced in the model were: age, prefracture gait independence, cognitive impairment, anesthetic risk, fracture type, operative delay, early postoperative mobilization, weight bearing, presence of pressure ulcers and destination at discharge. Five groups of patients or clusters were identified by their predicted probability of recovery, including the most common features of each. A probability threshold of 0.706 in the training set led to an accuracy of the model of 0.64 in the validation set. We present an acceptably accurate predictive model of gait recovery after hip fracture based on the patients’ individual characteristics. This model could aid clinicians to better target programs and interventions in this population.

Predictive Models for Post-operative Nausea and Vomiting in Patients Using Patient-controlled Analgesia

2007 ◽  
Vol 35 (4) ◽  
pp. 497-507 ◽  
Author(s):  
YY Lee ◽  
KH Kim ◽  
YH Yom
Keyword(s):  
Predictive Model ◽  
Oral Fluid ◽  
Individual Characteristics ◽  
Nausea And Vomiting ◽  
Patient Controlled Analgesia ◽  
Related Data ◽  
Post Operative Pain ◽  
Post Operation ◽  
History Of ◽  
Post Operative Nausea

This study identified predictive factors for post-operative nausea and vomiting (PONV) in patients using patient-controlled analgesia (PCA) and developed five predictive model pathways to calculate the probability of PONV using decision tree analysis. The sample consisted of 1181 patients using PCA. Data were collected using: a specifically designed check-off form to collect patient-, surgery-, anaesthesia- and post-operation-related data; the Beck Anxiety Inventory® to measure pre-operative anxiety; and a visual analogue scale, to measure post-operative pain. The incidence of PONV was 27.7%. Nine factors were highly predictive of PONV in our five model pathways: gender, obesity, anxiety, history of previous PONV, history of motion sickness, inhalation of nitrous oxide during operation, use of inhalational agents, starting oral fluid/food intake after operation, and post-operative pain. With these five predictive model pathways, we can predict the probability of PONV in an individual patient according to their individual characteristics.

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