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The purpose of this paper is to review the status of biosignal measures of female sexual arousal with a view to examining the feasibility of such procedures in a forensic context. Although adult women represent the minority of sexual offenders, female perpetrated sexual abuse has been gaining increasing attention in the forensic psychological literature as criminal justice is confronted with female offending populations to a greater extent than previously recognised.

Psychological assessments of sex offenders have tended to be over-dependent on the use of self-report measures (i.e. an individual's appraisal and report of their emotional state of sexual arousal). There is a dearth of empirical knowledge concerning the psychophysiological assessment of female sexual interest in general and especially so for female sex offenders. Physiological measures are those that rely on directly observable physiological responses of the individual in order to identify patterns of sexual interest or arousal.

Because deviant sexual interest (in children or the use of violence) as assessed by penile plethysmography, has been established as one of the strongest predictors of recidivism in male sex offenders (and as a viable alternative to self-report methodologies), an analogue measurement approach for female sex offenders is desirable. This paper considers: first, theoretical problems (e.g. what does female physiological arousal mean in terms of sexual arousal/desire?; second, technical measurement problems (e.g. reactivity of the measure in within subject designs); and third, procedural/ethical problems (e.g. invasiveness of the application).

While a number of physiological assessment devices are considered in this paper, the paper discusses the labial photoplethysmograph as a promising method for female sexual offender populations.

This paper systematically evaluates the existing literature of innovations in freight transport, including all modes, to uncover the key research themes and methodologies employed by researchers to study innovations and their implications in this industry. It analyses the role of transport and the impact of innovations during crises, such as COVID-19.

Qualitative and quantitative analysis of the innovations in freight transport unravels the pre-requisites of such endeavours in achieving a resilient and sustainable transport network that effectively and efficiently operates during a crisis. The authors performed keyword co-occurrence network (KCON) analysis and research focus parallelship network (RFPN) analysis using BibExcel and Gephi to determine the major resulting research streams in freight transport.

The RFPN identified five emerging themes: transport operations, technological innovation, transport economics, transport policy and resilience and disaster management. Optimisation and simulation techniques, and more recently, artificial intelligence and machine learning (ML) approaches, have been used to model and solve freight transport problems. Automation innovations have also penetrated freight and supply chains. Information and communication technology (ICT)-based innovations have also been found to be effective in building resilient supply chains.

Given the growth of e-commerce during COVID-19 and the resulting logistics demand, along with the need for transporting food and medical emergency products, the role of automation, optimisation, monitoring systems and risk management in the transport industry has become more salient. Transport companies need to improve their operational efficiency using innovative technologies and data science for informed decision-making.

This paper advises researchers and practitioners involved in freight transport and innovation about main directions and gaps in the field through an integrated approach for evaluating research undertaken in the area. This paper also highlights the role of crisis, e.g. COVID-19, and its impacts on freight transport. Major contributions of this paper are as follows: (1) a qualitative and quantitative, systematic and effective assessment of the literature on freight transport through a network analysis of keywords supplemented by a review of the text of 148 papers; (2) unravelling major research areas; (3) identifying innovations in freight transport and their classification as technological and non-technological and (4) investigating the impact of crises and disruptions in freight transport.

Annual influenza epidemics cause great losses in both human and financial terms. The purpose of this paper is to propose a model for optimizing a large-scale influenza vaccination program (VP). The goal is to minimize the total cost of the vaccination supply chain while guaranteeing a sufficiently high level of population protection. From a practical point of view, the analysis returns the number of shipments and the quantity of vaccines in each periodic shipment that should be delivered from the manufacturers to the distribution center (DC), from the DC to the clinics, and from the clinics to each sub-group of customers during the vaccination season.

A mixed-integer programming optimization model is developed to describe the problem for a supply chain consisting of vaccine manufacturers, the healthcare organization (HCO) (comprising the DC and clinics), and the population being vaccinated (customers). The model suggests a VP that implemented by a nation-wide HCO.

The benefits of the proposed approach are shown to be particularly salient in cases of limited resources, as the model distributes demand backlogs in an efficient manner, prioritizing high-risk sub-groups of the population over lower-risk sub-groups. In particular, the authors show a reduction in direct medical burden of consumers, such as the need for doctors, hospitalization resources, and reduction of indirect, non-medical burden, such as loss of workdays.

Drawing from the extended enterprise paradigm, and, in particular, taking consumer benefits into account, the authors suggest an operational-strategic model that creates impressive added value in a highly constrained supply chain. The model constitutes a powerful decision tool for the deployment of large-scale seasonal products, and its implementation can yield multiple benefits for various consumer segments.

The model proposed herein constitutes a decision support tool comprising operational-tactical and tactical-strategic perspectives, which logistics managers can utilize to create an enterprise-oriented plan that takes into account medical and non-medical costs.

Supply chain management is built on the principles of partnerships and the development and use of the connections that exist between the links of the chain to provide information that will increase the efficiency of all members in the chain. Success stories abound describing lower costs, shorter lead times and increased customer service. Collaborative forecasting applies supply chain management concepts to the forecasting function and uses available information and technology to force a shift from independent, forecasted demand to dependent, known demand. Eventually, the future of forecasting may evolve to the point where forecasting is not even necessary. Demand information will be supplied completely by supply chain partners and the need to predict demand will be eliminated.

Managing complexity within care ecosystems is an increasing universal challenge. In health, this is emphasised by recent calls for greater care integration to achieve service improvement as levels of comorbidity and frailty grow within populations. This research takes a service-dominant logic (SDL) stance in examining the sources, types and nature of complexity within a care ecosystem in the UK.

This illustrative case research focuses on a community care ecosystem. A multi-method approach is used combining semi-structured interviews, descriptive statistics and secondary data. The results were independently assessed and validated by participants through a second interview phase.

The findings from this research provide empirical support for the six complexities discussed in the supply chain literature. Identifying these complexities proffers the opportunity of applying manufacturing-derived complexity management strategies in care ecosystems. The conceptual model for institutional complexity, derived from the illustrative case study, showed that care professionals face additional complexity challenges in operating care ecosystems.

The management of complexity in care ecosystems requires professionals to be considerate of institutional arrangements when addressing the consequences of increasing levels of complexity. This necessitates the development of a balanced approach between reducing complexity while absorbing institutional arrangements which minimise risk.

Drawing on the supply chain complexity literature, the paper has developed a framework which guides care professionals facing increasing levels of complexity within the context of their institutional arrangements. As such, this research furthers our understanding of supply chain complexity effects in care ecosystems and provides a platform for future research.

To meet the needs of under-resourced, rural schools where teacher attrition is high, this case study examined how a school–university partnership strengthened teacher and leader abilities to support deeper learning for students.

This research focused on a 17-year collaborative partnership between one rural school district and a university research and outreach organization to develop deeper learning experiences for students through shared and supportive leadership and learning of teachers and leaders. The researchers utilized documents, field notes and interviews with administrators to validate the data.

The study’s findings suggest that participation in authentic, researched-based professional development through the partnership improved the skills of leaders and teachers to support deeper learning for students. This partnership heightened teacher and leader capacity to promote and support continued change and sustainability.

This case study explored how one university center collaboratively engaged with a district by sharing research and strategies to support the development of leaders and teachers to create deeper learning for students. Through these experiences, the district evolved its deeper learning system and improved its organizational effectiveness, leadership development and learning for all.

Background: Democratic societies thrive when citizens actively and critically engage with new ideas, developments and claims to truth. Not only can such practices result in more effective choice-making, but they can also lead to widespread support for progressive beliefs, such as social justice. Yet with western societies in the midst of environmental, social and political crises, it seems more pertinent than ever that citizens become “ideas-informed”.

Methods: Drawing on a survey of 1,000 voting age citizens in England, this paper aims to provide insight into the following: (1) the current “state of the nation” in terms of whether, and how, individuals keep themselves up to date with regards to new ideas, developments and claims to truth; (2) the impact of staying up to date on beliefs such as social justice; (3) the factors influencing people’s propensity to stay up to date, their support for value-related statements, as well as the strength of these influencing factors; and (4) clues as to how the extant “state of the nation” might be improved.

Results: Our findings indicate that many people do keep up to date, do so in a variety of ways, and also engage with ideas as mature critical consumers. There is also strong importance attached by most respondents to the values one would hope to see in a progressive and scientifically literate society. Yet, as we illustrate with our structural equation model, there are a number of problematic network and educational related factors which affect: (1) whether and how people stay up to date; and (2) the importance people ascribe to certain social values, irrespective of whether they stay up to date or not.

Conclusions: Suggestions for the types of social intervention that might foster “ideas-informed” democracies (such as improved dialogue) are presented, along with future research in this area.

This paper aims to examine the experience of gaining research independence by becoming a principal investigator (PI) – an aspiration for many post-PhD researchers about whom little is known. It provides insight into this experience by using a qualitative narrative approach to document how 60 PIs from a range of disciplines in one European and two UK universities experienced working towards and achieving this significant goal.

Within the context of a semi-structured interview, individuals drew and elaborated a map representing the emotional high and low experiences of the journey from PhD graduation to first PI grant, and completed a biographic questionnaire.

Regardless of the length of the journey from PhD graduation to first PI grant, more than a third noted the role that luck played in getting the grant. Luck was also perceived to have an influence in other aspects of academic work. This influence made it even more important for these individuals to sustain a belief in themselves and be agentive and persistent in managing the challenges of the journey.

The study, unusual in its cross-national perspective, and its mixed mode data collection, offers a nuanced perspective on the interaction between agency and an environment where the “randomness factor” plays a role in success. The function of luck as a support for sustained agency and resilience is explored.

This study compared the five subscale scores and total scale scores of the Library Anxiety Scale from 135 Caucasian‐American and 45 African‐American graduate students. Findings indicated that the Caucasian‐American sample reported significantly higher levels of library anxiety associated with three of the five subscales than did the African‐American sample. A canonical discriminant analysis also revealed significant differences between the two racial groups, with Caucasian‐American graduate students reporting significantly higher levels of library anxiety associated with the same three subscales than their African‐American counterparts. These findings suggest that race appears to be a predictor of library anxiety levels. The implications of the findings on academic library services and future research are discussed.