scholarly journals Unpacking Associations between Mood Symptoms and Screen Time in Preadolescents: A Network Analysis

2020 ◽  
Author(s):  
Sin-Ying Lin ◽  
Nicholas R Eaton ◽  
Jessica L. Schleider

Mounting evidence highlights the link between screen time and adolescent mood problems. However, there are several shortcomings to the extant literature: (1) this link is relatively underexplored in preadolescents, (2) most existing studies look at mood problems using categorical diagnoses rather than from a symptom-level perspective, despite the heterogeneity within mood disorders, (3) few studies have simultaneously examined the links of mood symptoms with different types of screen time, and (4) family/child-level factors that have shown links to youth psychopathology are not typically considered. This study, for the first time, examined the relationships of mood symptoms with different types of screen time, while accounting for theoretically important factors—parental monitoring and the behavioral inhibition/activation systems (BIS/BAS)—in preadolescents aged 9 to 10 from 9,986 families participating in the Adolescent Brain and Cognitive Development Study. Using mixed graphical models, we found that screen time involving age-inappropriate content was stably and significantly associated with various elevated mood symptoms, independent from other types of screen time, BIS/BAS, and parental monitoring. Additionally, age-inappropriate screen time was associated with increased overall symptom connectivity. Further, preadolescents engaged in high levels of age-inappropriate screen time reported different symptom profiles (i.e., differences in symptom centralities) from common pediatric mood problems. Our findings underline the multifaceted role (i.e., direct associations with symptoms, a moderator for symptom relationships, associations with distinct symptom profiles) of age-inappropriate screen time in preadolescent mood problems. These findings serve as foundations for future research that may facilitate early detection of preadolescents at risk of mood problems.

This book is a ground-breaking study of the phenomenon of migration in and to England over the medieval millennium, between c. AD 500 and c. AD 1500. It reaches across traditional scholarly divides, both disciplinary and chronological, to investigate, for the first time, the different types of data and scholarly methods that reveal evidence of migration and mobility within the medieval kingdom of England. England offers the opportunity for studying migration and migrants over the longue durée, because it has been a recognisable political unit for over a millennium and because a wealth of source material has survived from these centuries. The data vary unevenly in quality and quantity across this period, but become considerably more powerful through multi-disciplinary approaches to data collection and interpretation. Fifteen subject specialists synthesise and extend recent research in a wide range of disciplines, including archaeology, art history, genetics, historical linguistics, history, literature and onomastics. They evaluate the capacity of different genres of evidence for addressing questions around migration and its effects on the identities of groups and individuals within medieval England, as well as methodological parameters and future research potential. The book therefore marks an important contribution to medieval studies, and to modern debates on migration and the free movement of people, arguing that migration in the modern world, and its reverberations, cannot be completely understood without taking a broad historical perspective on the topic.


2021 ◽  
Author(s):  
Lydia Gabriela Speyer ◽  
Manuel Eisner ◽  
Denis Ribeaud ◽  
Michelle Luciano ◽  
Bonnie Auyeung ◽  
...  

Objective: Attention-Deficit/Hyperactivity Disorder (ADHD) is one of the most prevalent childhood disorders, affecting around 6.5% of youths worldwide. One common and impairing correlate of ADHD is aggressive behaviour which likely acts as a major contributor to the negative outcomes associated with ADHD. ADHD symptoms and aggression are both heterogeneous and it has been speculated that certain symptoms of ADHD might map more closely to certain types of aggressive behaviour. This study uses a symptom-level analysis to investigate the concurrent and temporal links between symptoms of ADHD and aggressive behaviours. This allows insights into whether specific symptoms are more likely to be connected which is highly important to refine intervention targets aiming to reduce aggressive behaviours associated with ADHD.Method: Using Gaussian Graphical Models and Graphical Vector Autoregression Models, cross-sectional and longitudinal networks of ADHD symptoms and aggressive behaviours, measured using parent-reported Social Behaviour Questionnaires (SBQ), were estimated. Participants included 1379 children taking part in the longitudinal Swiss z-proso cohort study at ages 7, 9 and 11. Results: Cross-sectional networks indicated that impulsivity symptoms and fidgeting were connected to reactive aggression under different types of provocation, with fidgeting also connected to a form of proactive aggression, namely dominating other children. The longitudinal network highlighted that ADHD symptoms and aggressive behaviours share a multitude of reciprocal temporal relations with inattentive ADHD symptoms preceding both reactive and proactive aggression. Conclusion: Findings from the current study present preliminary evidence indicating that interventions should focus on both hyperactive/impulsive and inattentive symptoms in order to reduce aggressive behaviours in children with ADHD. They further highlight that it is important to target feedback loops resulting from aggressive behaviours. Future research is needed to better understand the mechanisms through which ADHD and aggressive behaviours become linked.


Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 16
Author(s):  
Plamen I. Dankov ◽  
Praveen K. Sharma ◽  
Navneet Gupta

The simultaneous influences of the substrate anisotropy and substrate bending are numerically and experimentally investigated in this paper for planar resonators on flexible textile and polymer substrates. The pure bending effect has been examined by the help of well-selected flexible isotropic substrates. The origin of the anisotropy (direction-depended dielectric constant) of the woven textile fabrics has been numerically and then experimentally verified by two authorship methods described in the paper. The effect of the anisotropy has been numerically divided from the effect of bending and for the first time it was shown that both effects have almost comparable but opposite influences on the resonance characteristics of planar resonators. After the selection of several anisotropic textile fabrics, polymers, and flexible reinforced substrates with measured anisotropy, the opposite influence of both effects, anisotropy and bending, has been experimentally demonstrated for rectangular resonators. The separated impacts of the considered effects are numerically investigated for more sophisticated resonance structures—with different types of slots, with defected grounds and in fractal resonators for the first three fractal iterations. The bending effect is stronger for the slotted structures, while the effect of anisotropy predominates in the fractal structures. Finally, useful conclusions are formulated and the needs for future research are discussed considering effects in metamaterial wearable patches and antennas.


Author(s):  
Vladimir A. Lapin ◽  
Erken S. Aldakhov ◽  
S. D. Aldakhov ◽  
A. B. Ali

For the first time in Almaty full passport of apartment stock of multiapartment building was carried out. The structure of the housing stock was revealed with the allocation of groups of buildings according to structural solutions and assessment of their seismic resistance. Based on the results of certification, quantitative estimates of failure probability values for different types of buildings were obtained. Formulas for estimation of quantitative value of seismic risk are obtained. The number of deaths in the estimated zem-shakes was estimated. The results of the assessments will be used for practical recommendations to reduce risk and expected losses in possible earthquakes.


Author(s):  
Xu Pei-Zhen ◽  
Lu Yong-Geng ◽  
Cao Xi-Min

Background: Over the past few years, the subsynchronous oscillation (SSO) caused by the grid-connected wind farm had a bad influence on the stable operation of the system and has now become a bottleneck factor restricting the efficient utilization of wind power. How to mitigate and suppress the phenomenon of SSO of wind farms has become the focus of power system research. Methods: This paper first analyzes the SSO of different types of wind turbines, including squirrelcage induction generator based wind turbine (SCIG-WT), permanent magnet synchronous generator- based wind turbine (PMSG-WT), and doubly-fed induction generator based wind turbine (DFIG-WT). Then, the mechanisms of different types of SSO are proposed with the aim to better understand SSO in large-scale wind integrated power systems, and the main analytical methods suitable for studying the SSO of wind farms are summarized. Results: On the basis of results, using additional damping control suppression methods to solve SSO caused by the flexible power transmission devices and the wind turbine converter is recommended. Conclusion: The current development direction of the SSO of large-scale wind farm grid-connected systems is summarized and the current challenges and recommendations for future research and development are discussed.


Author(s):  
Jack Corbett ◽  
Wouter Veenendaal

Chapter 1 introduces the main arguments of the book; outlines the approach, method, and data; defines key terms; and provides a chapter outline. Global theories of democratization have systematically excluded small states, which make up roughly 20 per cent of countries. These cases debunk mainstream theories of why democratization succeeds or fails. This book brings small states into the comparative politics fold for the first time. It is organized thematically, with each chapter tackling one of the main theories from the democratization literature. Different types of data are examined—case studies and other documentary evidence, interviews and observation. Following an abductive approach, in addition to examining the veracity of existing theory, each chapter is also used to build an explanation of how democracy is practiced in small states. Specifically, we highlight how small state politics is shaped by personalization and informal politics, rather than formal institutional design.


Author(s):  
Bianca Beersma ◽  
Gerben A. van Kleef ◽  
Maria T. M. Dijkstra

This chapter provides an overview of the antecedents and consequences of gossip in work groups. First, the chapter reviews the different motives for gossip in work groups (i.e., bonding, entertainment, emotional venting, information exchange, maintenance of group norms/social order, and interpersonal aggression) and links each motive to psychological theory. Second, the chapter reviews the different types of influence that gossip can have on various indicators of group effectiveness. Reflecting on the motives underlying gossip in work groups, as well as on its outcomes, it argues that future research should start integrating the diverse insights provided by earlier research on both gossip motives and outcomes, and it provides a number of suggestions for doing so.


2019 ◽  
Vol 25 (3) ◽  
pp. 378-396 ◽  
Author(s):  
Arian Razmi-Farooji ◽  
Hanna Kropsu-Vehkaperä ◽  
Janne Härkönen ◽  
Harri Haapasalo

Purpose The purpose of this paper is twofold: first, to understand data management challenges in e-maintenance systems from a holistically viewpoint through summarizing the earlier scattered research in the field, and second, to present a conceptual approach for addressing these challenges in practice. Design/methodology/approach The study is realized as a combination of a literature review and by the means of analyzing the practices on an industry leader in manufacturing and maintenance services. Findings This research provides a general understanding over data management challenges in e-maintenance and summarizes their associated proposed solutions. In addition, this paper lists and exemplifies different types and sources of data which can be collected in e-maintenance, across different organizational levels. Analyzing the data management practices of an e-maintenance industry leader provides a conceptual approach to address identified challenges in practice. Research limitations/implications Since this paper is based on studying the practices of a single company, it might be limited to generalize the results. Future research topics can focus on each of mentioned data management challenges and also validate the applicability of presented model in other companies and industries. Practical implications Understanding the e-maintenance-related challenges helps maintenance managers and other involved stakeholders in e-maintenance systems to better solve the challenges. Originality/value The so-far literature on e-maintenance has been studied with narrow focus to data and data management in e-maintenance appears as one of the less studied topics in the literature. This research paper contributes to e-maintenance by highlighting the deficiencies of the discussion surrounding the perspectives of data management in e-maintenance by studying all common data management challenges and listing different types of data which need to be acquired in e-maintenance systems.


Robotics ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 53
Author(s):  
Luiz F. P. Oliveira ◽  
António P. Moreira ◽  
Manuel F. Silva

The development of robotic systems to operate in forest environments is of great relevance for the public and private sectors. In this sense, this article reviews several scientific papers, research projects and commercial products related to robotic applications for environmental preservation, monitoring, wildfire firefighting, inventory operations, planting, pruning and harvesting. After conducting critical analysis, the main characteristics observed were: (a) the locomotion system is directly affected by the type of environmental monitoring to be performed; (b) different reasons for pruning result in different locomotion and cutting systems; (c) each type of forest, in each season and each type of soil can directly interfere with the navigation technique used; and (d) the integration of the concept of swarm of robots with robots of different types of locomotion systems (land, air or sea) can compensate for the time of executing tasks in unstructured environments. Two major areas are proposed for future research works: Internet of Things (IoT)-based smart forest and navigation systems. It is expected that, with the various characteristics exposed in this paper, the current robotic forest systems will be improved, so that forest exploitation becomes more efficient and sustainable.


2021 ◽  
Vol 7 (3) ◽  
pp. 38
Author(s):  
Alexandra Korotaeva ◽  
Danzan Mansorunov ◽  
Natalya Apanovich ◽  
Anna Kuzevanova ◽  
Alexander Karpukhin

Neuroendocrine neoplasms (NEN) are infrequent malignant tumors of a neuroendocrine nature that arise in various organs. They occur most frequently in the lungs, intestines, stomach and pancreas. Molecular diagnostics and prognosis of NEN development are highly relevant. The role of clinical biomarkers can be played by microRNAs (miRNAs). This work is devoted to the analysis of data on miRNA expression in NENs. For the first time, a search for specificity or a community of their functional characteristics in different types of NEN was carried out. Their properties as biomarkers were also analyzed. To date, more than 100 miRNAs have been characterized as differentially expressed and significant for the development of NEN tumors. Only about 10% of the studied miRNAs are expressed in several types of NEN; differential expression of the remaining 90% was found only in tumors of specific localizations. A significant number of miRNAs have been identified as potential biomarkers. However, only a few miRNAs have values that characterized their quality as markers. The analysis demonstrates the predominant specific expression of miRNA in each studied type of NEN. This indicates that miRNA’s functional features are predominantly influenced by the tissue in which they are formed.


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