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    Genetic predispositions and early parent-child relationship are related to Instagram behaviour

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    predispositions can influence in the same way online as well as offline virtual social abilities in adulthood. To better understand the interplay that influences social behaviour, this research explores the interaction between the oxytocin receptor (OXTr) gene and early parent-child relationship in shaping Instagram users' social attitudes. Self-report questionnaire Parental Bonding Instrument was used to evaluate participants' (N = 57; 41 females) early parental care. Individuals' social parameters (number of followings, followers, posts) and indexes (the Social Desirability Index or SDI estimated by the ratio between followers' and followings' number) were collected using a Python tool and standardized by z-scores. Buccal mucosa cell samples were collected to assess participants' genetic predispositions. Regions OXTr/rs2254298 (G/G homozygotes vs A-carriers), OXTr/rs53576 (A/A homozygotes vs G-carriers) and 5-HTTLPR/rs255331 (T/T homozygotes vs C-carriers) were analyzed. We hypothesized a cross interaction between genetic groups and parental bonding scores on the number of followings and posts. We identified a gene-environment interaction for OXTr/rs2254298 on posts' number. Moreover, two interaction effects were detected on the SDI between maternal overprotection and OXTr/rs2254298 and between maternal care and 5-HTTLPR/rs255331

    Implicit associations among genetics, early care experiences, and adult relationships to social media behaviour.

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    Introduction Humans are social beings whose experiences are ruled by complex interactions between genetic and environmental factors [1]. In-person social interactions represent the first means of sharing beliefs and making comparisons with others. Caregivers embody the first actors in social education. The attachment with one’s parents can be stable across development and can affect adult relationships [2]. Nowadays, social interaction has rapidly expanded through virtual environments like social networking sites (SNS). However, the quality and the frequency of online and in-person interactions may differ across individuals. We explored these variations in online interactions from the perspective of behavioural genetics, investigating whether the quality of early care experiences and of one’s adult relationships could affect the frequency in the online sociability of users who are genetically sensitive to experiences. Method The measures on the quality of in-person relationships we focused on are the parent-child attachment and the adult attachment, as recalled by Singaporean participants in the Parental Bonding Instrument (maternal care, maternal overprotection, paternal care, paternal overprotection; N = 57; 41 females) [3] and the Attachment Style Questionnaire (confidence, discomfort with closeness, relationships as secondary, need for approval, preoccupation with relationships; N = 58; 42 females) [4]. The genetic factors we examined are the polymorphisms within the regions rs2254298 (G/G homozygotes, A-carriers), rs53576 (A/A homozygotes, G-carriers) of the oxytocin receptor gene and the region rs25531 (T/T homozygotes, C-carriers) of the serotonin transporter gene. According to the sensitivity hypothesis [5], a genetic component can be either a risk or a protective factor to social distress in relationships. From Instagram, we extracted three variables as a proxy for the frequency of online interactions: the number of a) published posts, b) people that the user follows ("followings") and c) followers. The Social Desirability Index (SDI) was estimated as the ratio of followers to followings. Results We hypothesized multiple interaction effects between genetic groups and attachment scores on Instagram parameters, independent of the gender. We found a gene*environment interaction for rs2254298 on the number of Instagram posts [6]. In line with our expectations, participants with a genetic risk factor (A-carriers) and a past of poor paternal care produced less Instagram posts than those without this risk factor (G/G genotype). A significant interaction between maternal overprotection and rs2254298 also emerged for Instagram SDI. Interestingly, the same pattern emerged between maternal care and rs25531 on the SDI [7]. Specifically, users genotypically more sensitive to environmental influences (A-carriers; T/T genotype) exhibited an increasing trend in the Instagram SDI when they experienced positive maternal caregiving. In contrast, a decreasing trend of the same index was observed for those who recalled a negative relationship with their mother. T/T homozygotes also showed a greater number of Instagram followings than C-carriers when they reported a high level of confidence towards people in adulthood [8]. Conclusion A positive relationship with parents, as well as a high level of trust towards peers, affects the way genetically vulnerable Instagram users post, search for other users and increase their social likability

    Genetic factors and early parent-infant interactions shape Instagram users' social behaviour

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    The interaction between parental care and oxytocin receptor gene affect social behaviours in adulthood. Serotonin transporter gene polymorphisms and early parent-infant interaction influence adults’ relationship with intimate partners. However, human conspecifics socially act towards the real and virtual world in displaying multiple and complex social interactions. Hence, the mechanisms underlying the virtual social relationship in humans remain largely unknown. This research investigates how the interaction between genetic factors (three polymorphisms from the oxytocin receptor, OXTR, and the serotonin transporter, 5-HTTLPR), parental bonding patterns (PBI) and adults’ interactional patterns (ASQ, ECR-R) shape Instagram virtual social behaviour. We hypothesized that adult Instagram users with a genetic risk factor and exposed to a negative social environment will show an enhanced virtual social activity compared to less vulnerable genetic carriers. To this purpose, self-reported questionnaires were used to evaluate participants’ (n = 57; 17 males) parental bonding patterns (Parental Bonding Instrument, formed by four subscales Maternal Care-Paternal Care-Maternal Overprotection-Paternal Overprotection), interactional patterns towards peers (Attachment Style Questionnaire formed by five subscales Confidence-Discomfort in Intimacy-Relationship as Secondary-Need for Approval-Worry about Relationship) and the quality of bond with intimate partners (Experience in Close Relationship Scale formed by two subscales Anxiety-Avoidance). Instagram activities were collected applying an automatic Python algorithm through which four indexes were extracted: number of followings, followers, published posts and tags from other users’ posts. To assess participants’ genetic predispositions, buccal mucosa cell samples were collected, and regions OXTR/rs2254298 (G/G homozygotes vs. A carriers), OXTR/rs53576 (A/A homozygotes vs. G carriers) and 5-HTTLPR/rs255331 (G/G homozygotes vs. A carriers) were genotyped. We expect that the main potential effects on the Instagram measured variables and on a “Social Recognition Index” (Followers/Following ratio) could represent an indirect pathway through which genes and parental behaviour interact to shape social media interactions

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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