bluuebunny/crossref_metadata_2025_split huggingface dataset:
“First meetings”: constructive first encounters between pre-service teachers and their mentors
Authors: Connolly Steve , Bates Gareth , Shea James 
Published: July 2020

PurposeThe purpose of this paper is to report the findings from an action research project in which the researchers sought to develop a set of questions for use by mentors (experienced teachers) and mentees (pre-service teachers) on a course of initial teacher education (ITE) when they first met – the “initial encounter”.Design/methodology/approachThe researchers used an action research approach in order to address the lower retention rate of pre-service teachers from different backgrounds, such as Black and Minority ethnic (BAME) and the issues around mentoring which may exacerbate this problem. Discussions between the course team and participating mentors and mentees suggested that the initial encounter between mentor and mentee was significant, and an action research methodology would allow for developing questions that might structure such encounters.FindingsThe researchers found that a useful and effective set of questions could be developed and used by mentors and mentees. Additionally, this process gave researchers insights into the nature of the first encounters between mentors and mentees on an ITE course and how both groups see their roles. In several cycles of action research, the participants produced a number of iterations of such questions, which were refined across a two-year period.Research limitations/implicationsWhile it is too early to tell if the issues leading to the lower retention rate of pre-service teachers that prompted the project have been reduced in any significant way, the researchers suggest that thinking about these initial encounters can have an impact on the way mentors and mentees go on to build a relationship.Originality/valueThe authors found that there is very little research in the field of teacher education which looks at initial encounters between mentors and mentees, and thus make an original contribution to the mentoring literature.
Lean construction and simulation for performance improvement: a case study of reinforcement process
Authors: Bajjou Mohamed Saad , Chafi Anas 
Published: July 2020

PurposeThis research seeks to evaluate the impact of applying lean construction principles on the performance of reinforcement operations using a discrete-event simulation (DES) approach.Design/methodology/approachProcess mapping of reinforcements operations was first established through field observation and interviews with construction managers involved in the selected project. Subsequently, quantitative data were gathered and then used to identify the best probabilistic density functions for each activity duration based on the fit-quality tests. Upon testing the validity of the real-world model, a lean simulation model was developed, using ARENA software, to investigate the impact of lean construction principles on the performance of such processes.FindingsLean principles are effective in enhancing the performance of the selected construction process. Output performance measurements for real-world model and lean model revealed that lean construction principles led to 41% improvement in process productivity, 14% enhancement in process efficiency and 17% reduction in cycle time.Research limitations/implicationsThe statistical findings only represent the process under study (reinforcement process) and cannot be generalized to other construction activities. In order to draw generalizable conclusions, future works are needed to extend this study to different project sizes and more complex construction processes (e.g. bricklaying process and concrete pouring operations). Moreover, there are other factors such as labor skills, rework and uncertainty, site conditions that require further analyses for leaner construction projects.Originality/valueThe methodology and the techniques presented in this work can be used for decision making by analyzing various lean construction scenarios and evaluating their impacts on performance outcomes of any construction process prior to real-world implementation.
How do digital influencers affect social commerce intention? The roles of social power and satisfaction
Authors: Wang Panpan , Huang Qian , Davison Robert M. 
Published: July 2020

PurposeThe success of social commerce depends on consumers' willingness to participate in social commerce activities. Practitioners have attached increasing attention to facilitating social commerce intention with influencer strategies. However, theoretical understanding or empirical investigation on the impact of digital influencers on consumers' social commerce intention is limited. This study aims to provide new insights into the drivers of two forms of social commerce intention: social shopping and social sharing intention. Based on the theoretical lens of social power, this study answers how digital influencers affect consumer satisfaction and ultimately boost their intention to conduct social commerce activities.Design/methodology/approachA field interview is conducted to determine the appropriate social power forms. An online survey on a large social commerce site in China with 310 respondents is conducted to test the proposed model.FindingsResults indicate that expert power and referent power derived from digital influencers predict most of the consumers' economic satisfaction, whereas referent power and reciprocity power explain consumers' social satisfaction. Economic satisfaction affects social shopping and social sharing intention, whereas social satisfaction only influences social sharing intention.Originality/valueThis study sheds new light on the theoretical understanding of the effect of digital influencers through a lens of social power. It provides new insight into the determinants of social commerce intention. It also compensates for the neglect of social satisfaction in the social commerce context.
The sexual life of men with psychopathic traits
Authors: Zara Georgia , Bergstrøm Henriette , Farrington David P. 
Published: July 2020

Purpose
This paper aims to explore the sexuality of individuals with psychopathic traits. Sexuality is not only a physiological need but also a way by which people connect to others. According to a Darwinian perspective, psychopathic traits are seen as adaptive responses to environmental conditions, and as a nonpathological and reproductively viable life history strategy, although superficial emotionality and a detached interpersonal style characterise individuals who are high on psychopathic traits.

Design/methodology/approach
Data from the Cambridge Study in Delinquent Development are analysed. This is a prospective longitudinal study of 411 London males, with face-to-face interviews from 8 to 48 years of age.

Findings
Men who are high on psychopathic traits were likely to drift from one relationship to another, without a particular attachment to any of them, and to be sexually promiscuous. They never used contraception, which increased their likelihood of having several children from different partners.

Practical implications
Findings provide an insight into the non-criminal sexual behaviour of males with high psychopathic traits; evidence on a pattern of unsafe/risky sexual relations by males with high psychopathic traits; information on targeting risk factors to prevent the intergenerational transmission of psychopathy.

Originality/value
These findings are significant in highlighting the impact of psychopathic traits upon interpersonal and family dynamics in community samples, as detecting the impact of problematic intimate relationships is difficult in the absence of evident criminality. Rather than completely neglecting their children, men with psychopathic traits spent time with their sons but not with their daughters.
Love your mistakes!—they help you adapt to change. How do knowledge, collaboration and learning cultures foster organizational intelligence?
Authors: Kucharska Wioleta , Bedford Denise A.D. 
Published: July 2020

PurposeThe study aims to determine how the acceptance of mistakes is related to adaptability to change in a broad organizational context. Therefore, it explores how knowledge, collaboration and learning cultures (including “acceptance of mistakes”) might help organizations overcome their resistance to change.Design/methodology/approachThe study used two sample groups: students aged 18–24 years (330 cases) and employees aged >24 years (326 cases), who worked in knowledge-driven organizations. Structural equation models were developed, assessed and compared.FindingsThe effect of the “learning climate” on “adaptability to change” mediated by “acceptance of mistakes” has been detected for young students aged 18–24 years; however, this relationship is not significant for business employees aged >24 years. This result indicates that organizations, unlike universities, do not use mistakes as a tool to support learning that is to lead to change.Research limitations/implicationsBoth samples used in the study were obtained from Poland. The business sample was in the majority represented by small and medium-sized enterprises. Therefore, the presented findings may only be applicable to Poland.Practical implicationsAcceptance of mistakes is vital for developing a learning culture. Mistakes help employees adapt to change. Hence, a learning culture that excludes the acceptance of mistakes is somehow artificial and may be unproductive. Paradoxically, the findings reveal that the fact that employees’ intelligence (adaptability to change) improves via mistakes does not mean that organizational intelligence will also increase. Thus, organizations that do not develop mechanisms of learning from mistakes lose the learning potential of their employees.Originality/valueThis study proposes a constant learning culture scale that includes the “acceptance of mistakes” and “learning climate” dimensions. Further, it empirically proves the value of mistakes for adaptability to change. Moreover, it also contributes to the existing literature by demonstrating the mechanism of the relationship between knowledge, collaboration and learning cultures in the context of adaptability to change. This study breaks with the convention of “exaggerated excellence” and promotes the acceptance of mistakes in organizations to develop organizational intelligence.
Non-financial reporting formats in public sector organizations: a structured literature review
Authors: Manes-Rossi Francesca , Nicolò Giuseppe , Argento Daniela 
Published: July 2020

PurposeResearch dealing with non-financial reporting formats in public sector organizations is progressively expanding. This paper systematizes the existing literature with the aim of understanding how research is developing and identifying the gaps in need of further investigation.Design/methodology/approachA structured literature review was conducted by rigorously following the steps defined in previous studies. The structured nature of the literature review paves the way for a solid understanding and critical analysis of the state of the art of research on non-financial reporting formats in public sector organizations.FindingsThe critical analysis of the literature shows that most existing studies have focused on sustainability reporting in higher education institutions, local governments and state-owned enterprises, while remaining silent on the healthcare sector. Additional theoretical and empirical approaches should feed future research. Several areas deserve further investigations that might impactfully affect public sector organizations, standard setters, practitioners and scholars.Originality/valueThis paper offers a comprehensive review of the literature on different reporting formats that public sector organizations adopt to report various dimensions of their performance to both internal and external stakeholders. The structured literature review enables the identification of future directions for the literature in this field.
The attitudes of residents on the conservation of built-heritage of a historic temple town – Kanchipuram, India
Authors: Kesavaperumal Thirumaran , Kandasamy Kiruthiga , Ramasubramanian Renganathan 
Published: July 2020

Purpose
The degradation of a town’s traditional architectural settings is a prominent issue in the historic towns that possess a rich heritage and legacies of architectural character in its urban fabric that have developed over the course of its evolution. Resident participation in built-heritage conservation can be explained in terms of deliberate acts. Thus, this study aims to analyse the attitudes of residents on the conservation of built heritage (ARCBH) in the historic town of Kanchipuram.

Design/methodology/approach
The historic temple town of Kanchipuram has been surveyed and focused in this study. A questionnaire was designed to investigate the ARCBH in Kanchipuram. Data were collected and analysed with the help of structural equation modelling and AMOS software. A structural equation model was developed, and hypotheses were framed for an empirical study.

Findings
The findings indicate that the ARCBH has an effective relationship with practical issues that occur in traditional architecture, built-heritage attachment and an awareness of existing heritage schemes.

Social implications
The study results indicate that considering resident attitude and attachment is important. In addition, the results provide useful insights for formulating practical measures relevant to built-heritage conservation.

Originality/value
There has been no attempt to come up with practical implications from the attitudes of residents on the conservation of built-heritage in the historic temple towns of Tamil Nadu, India.
Obstetric outcomes in major vs minor placenta praevia: A retrospective cohort study
Authors: Chung Philip , Cheer Kenny , Malacova Eva , Okano Satomi , Rudra Thangeswaran 
Published: July 2020

BackgroundPlacenta praevia (PP) is a rare obstetric condition associated with significant maternal and perinatal morbidity. Traditionally, the degree of PP has been classified into minor and major; however, there are very few robust studies that compare the maternal outcomes of these types of PP.AimsTo identify any significant differences in obstetric outcomes between major and minor PP, including antepartum, intraoperative and postpartum complications.Materials and MethodsA retrospective cohort study was conducted at the Royal Brisbane & Women’s Hospital between 2009 and 2018; all women were diagnosed with PP.ResultsOf the total of 368 women recruited, over half of the participants were diagnosed with major PP (57%), while the remaining had minor PP. Women with major PP, compared to women with minor PP, had an increased risk of antepartum haemorrhage (odds ratio (OR) 2.77, P < 0.001), delivery at an earlier gestational age (36.1 vs 37.4 weeks), general anaesthesia (OR 3.25, P < 0.001), greater proportion of emergency lower segment (51% vs 40%) and classical caesarean (7.7% vs 3.8%), increased number of uterotonics (incidence rate ratio (IRR) 1.17, P < 0.031), greater blood loss (IRR 1.32, P < 0.001) and higher frequency of blood transfusion (IRR 2.00, P < 0.027), and longer postpartum hospital stay (IRR 1.26, P < 0.001). Hysterectomy was performed for three women with major PP, compared to one with minor PP.ConclusionsThe degree of PP significantly impacts obstetric outcomes, with major PP associated with worse maternal morbidity antenatally, intraoperatively and postpartum. Therefore, to optimise patient care, this study emphasises the importance of identifying and distinguishing between different types of PP.
Origins of SARS‐CoV‐1 and SARS‐CoV‐2 are often poorly explored in leading publications
Authors: Wenzel John 
Published: July 2020

AbstractIn the rush to understand the coronaviruses that threaten human health, authors of many prominent papers have not performed phylogenetic analyses to the standard of the field today. Errors include faulty placement of the root of the phylogeny, outdated methods of reconstruction, poor taxon sampling, inappropriate emphasis on selected functional elements, and inadequate consideration of ambiguity. As a result, certain conclusions regarding the origin of human infections are not supported soundly or are wrong.
Dasycerine rove beetles: Cretaceous diversification, phylogeny and historical biogeography (Coleoptera: Staphylinidae: Dasycerinae)
Authors: Yin Zi‐Wei , Lü Liang , Yamamoto Shûhei , Thayer Margaret K. , Newton Alfred F. , Cai Chen‐Yang 
Published: July 2020

AbstractWithin the hyperdiverse beetle family Staphylinidae, Dasycerinae is one of the smallest and most cryptic subfamilies, comprising a sole extant genus characterized by a latridiid beetle‐like body form. Little has been known about their early diversification, character evolution, phylogeny and historical biogeography because of limited fossil material and lack of a phylogeny integrating extant and extinct representatives. Here we report an unexpectedly diverse dasycerine fauna from the mid‐Cretaceous of northern Myanmar, including a new genus and four new species. To reconstruct the early evolutionary history of Dasycerinae, we present a phylogenetic framework of the subfamily based on a dataset integrating all extant and extinct taxa using parsimony, maximum‐likelihood and Bayesian methods. †Cedasyrus gen. n., characterized by distinct sexual dimorphism in antennal and elytral lengths, is recovered as the basal‐most lineage, sister to the remaining two extinct genera and all living Dasycerus species. †Vetudasycerus is recovered as sister to †Protodasycerus + Dasycerus. Among all extinct taxa, †Protodasycerus bears distinctly longer elytra, and appears to represent a transitional form from †Vetudasycerus to Dasycerus. Phylogenetic inferences and ancestral distribution reconstruction support an “Out‐of‐Orient” model for Dasycerinae. Either the Bering‐ or North Atlantic Land Bridge may have served as a passageway for dasycerine dispersal between Eurasian and North American continents. An elevation‐reconstruction analysis indicated that the ancestor of the extant Dasycerus probably lived at a high altitude and stayed at this elevation through the end of the Miocene. We propose that the extinction of dasycerine ancestors living on the Tethyan islands at low altitude was likely caused by sea‐level rise and climatic warming during the Late Cretaceous. The high‐altitude areas might have played the role of refugia that harboured subalpine derivatives which eventually gave rise to the extant Dasycerus.
Bioethics and practical justice in the post‐COVID‐19 era
Authors: Ogbogu Ubaka , Hardcastle Lorian 
Published: July 2020

AbstractThe ethical concept of justice, as it relates to the development and deployment of innovative health technologies, commands the fair and equitable distribution of burdens and benefits. In bioethics, specific guidance on practical strategies for achieving what this concept of justice demands are somewhat elusive. Drawing on issues of justice arising or likely to arise in the context of the search for a vaccine or cure for COVID‐19, this paper argues for a focus on the concept of “practical justice” in post‐pandemic bioethics work. To illustrate the value and promise of this concept, the paper reflects on an approach to achieving practical justice in health biotechnology research that is grounded in a commitment to offer technical assistance to developing and under‐resourced nations.
Deep learning using preoperative magnetic resonance imaging information to predict early recovery of urinary continence after robot‐assisted radical prostatectomy
Authors: Sumitomo Makoto , Teramoto Atsushi , Toda Ryo , Fukami Naohiko , Fukaya Kosuke , Zennami Kenji , Ichino Manabu , Takahara Kiyoshi , Kusaka Mamoru , Shiroki Ryoichi 
Published: July 2020

ObjectivesTo investigate whether a deep learning model from magnetic resonance imaging information is an accurate method to predict the risk of urinary incontinence after robot‐assisted radical prostatectomy.MethodsThis study included 400 patients with prostate cancer who underwent robot‐assisted radical prostatectomy. Patients using 0 or 1 pad/day within 3 months after robot‐assisted radical prostatectomy were categorized into the “good” group, whereas the other patients were categorized into the “bad” group. Magnetic resonance imaging DICOM data, and preoperative and intraoperative covariates were assessed. To evaluate the deep learning models from the testing dataset, their sensitivity, specificity and area under the receiver operating characteristic curve were analyzed. Gradient‐weighted class activation mapping was used to visualize the regions of deep learning interest.ResultsThe combination of deep learning and naive Bayes algorithm using axial magnetic resonance imaging in addition to clinicopathological parameters had the highest performance, with an area under the receiver operating characteristic curve of 77.5% for predicting early recovery from post‐prostatectomy urinary incontinence, whereas machine learning using clinicopathological parameters only achieved low performance, with an area under the receiver operating characteristic curve of 62.2%. The gradient‐weighted class activation mapping methods showed that deep learning focused on pelvic skeletal muscles in patients in the good group, and on the perirectal and hip joint regions in patients in the bad group.ConclusionsOur results suggest that deep learning using magnetic resonance imaging is useful for predicting the severity of urinary incontinence after robot‐assisted radical prostatectomy. Deep learning algorithms might help in the choice of treatment strategy, especially for prostate cancer patients who wish to avoid prolonged urinary incontinence after robot‐assisted radical prostatectomy.
Eye‐tracking for longitudinal assessment of social cognition in children born preterm
Authors: Dean Bethan , Ginnell Lorna , Ledsham Victoria , Tsanas Athanasios , Telford Emma , Sparrow Sarah , Fletcher‐Watson Sue , Boardman James P. 
Published: July 2020

Background and objectivesPreterm birth is associated with atypical social cognition in infancy, and cognitive impairment and social difficulties in childhood. Little is known about the stability of social cognition through childhood, and its relationship with neurodevelopment. We used eye‐tracking in preterm and term‐born infants to investigate social attentional preference in infancy and at 5 years, its relationship with neurodevelopment and the influence of socioeconomic deprivation.MethodsA cohort of 81 preterm and 66 term infants with mean (range) gestational age at birth 28+5 (23+2–33+0) and 40+0 (37+0–42+1) respectively, completed eye‐tracking at 7–9 months, with a subset re‐assessed at 5 years. Three free‐viewing social tasks of increasing stimulus complexity were presented, and a social preference score was derived from looking time to socially informative areas. Socioeconomic data and the Mullen Scales of Early Learning at 5 years were collected.ResultsPreterm children had lower social preference scores at 7–9 months compared with term‐born controls. Term‐born children’s scores were stable between time points, whereas preterm children showed a significant increase, reaching equivalent scores by 5 years. Low gestational age and socioeconomic deprivation were associated with reduced social preference scores at 7–9 months. At 5 years, preterm infants had lower Early Learning Composite scores than controls, but this was not associated with social attentional preference in infancy or at 5 years.ConclusionsPreterm children have reduced social attentional preference at 7–9 months compared with term‐born controls, but catch up by 5 years. Infant social cognition is influenced by socioeconomic deprivation and gestational age. Social cognition and neurodevelopment have different trajectories following preterm birth.