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The purpose of this paper is to increase our understanding of the role of mental disorder in sexual offending as well as identifying innovations in assessment and treatment with offenders who present with these typically complex risks and needs.

The converging literatures on “good lives” and other developments in sexual offender treatment are compared with recovery from mental disorder and what is known about the particular needs and characteristics of sexual offenders with mental illness and severe personality disorder (PD).

A key outcome of this review is that many mentally disordered sexual offenders have similar needs to those in prison and the community but there are particular challenges posed by severe PD, paraphilias and the relatively rare individuals whose offending is functionally linked to psychotic symptoms.

Practical implications include the need for case formulation of complex needs related to mental disorder using direct and indirect measures of attitudes and interests. Treatment needs to be responsive to very different personality and mental health presentations as well as problems with offending and cognitive schemas. Direct functional links between mental health symptoms such as delusions and hallucinations are very rare in practice and are usually secondary to PD and sexual offending issues. In practice, treatment promoting recovery from mental disorder is highly compatible with the “good lives” approach to sexual offender treatment. Staff development, supervision and support are particularly important for staff treating mentally disordered sexual offenders.

It is argued that mentally disordered sexual offenders are an under-researched sub-group within the wider sexual offender population. This paper brings together the relatively limited literature on treatment with examples of recent treatment innovations, multi-modal assessment approaches and reviews of research on the needs of this relatively uncommon but highly risky group.

The purpose of this paper is to explore how psychological variables are related to real-life insurance consumption. Specifically, the authors focus on whether emotions and psychological traits can improve the predictability of insurance demand, taking traditional socioeconomic variables under control.

The approach used was in-person survey, based on a traditional questionnaire, the Barratt Impulsiveness Scale and a psycho-physiological task (Iowa Gambling Task (IGT)).

A selective role of emotions and psychological traits has been proven to exist when comparing different insurance policies. Life and casualty insurance are affected by emotional arousal to losses; indemnity insurance by fear of the unknown, whereas health insurance by impulsivity.

The findings indicate that individual insurance consumption may be amplified by not cognitive components. Future research should concentrate on testing the effect of further psychological traits related to pure risk coverage.

The results may be of interest for insurers in order to know what drives insurance demand with respect to different kinds of pure risks.

For policymakers, it is important to understand how psychological factors affect consumer behavior in order to incorporate such perspective into modern insurance policy measures. An analysis of such factors may also increase the self-consciousness of insurance consumers and enrich consumer self-protection.

The authors propose an interdisciplinary approach to analyze insurance demand and test different kinds of insurance coverage, suggesting not homogenous hedging behaviors in relation to specific ambiguous events.

Drawn from flow theory, this study aims to explore children’s flow experiences in virtual reality (VR) by examining the relationships between VR experience length, arousal and flow experience (time estimation and enjoyment).

A within-subject laboratory experiment was conducted using 9D VR and iMEC 12. A total of 47 children participated in this study. Both survey data and physiological data were collected.

The results revealed that longer VR videos evoked lower arousal, higher respiratory rates and less enjoyment among child participants than shorter videos. This study also verified the mediating effects of respiratory rates measured arousal on time estimations and self-reported arousal in terms of enjoyment.

This study fills a research gap related to children’s flow experiences in VR, as children’s voices remain limited in tourism research. The study findings offer meaningful insights for destination marketers to leverage the growth of parent-child tours and the increasing effects of VR on the tourism industry.

儿童虚拟现实旅游体验探究: 一项基于沉浸理论的心理-生理研究

基于沉浸理论,本研究旨在通过检验虚拟现实（VR）的体验长度、兴奋度, 以及沉浸体验（时间估计和乐趣）之间的关系来探讨儿童的VR沉浸体验。

运用9D虚拟现实模拟器和iMEC12, 本研究进行了一项被试内实验。一共有47位儿童参与本研究。收集了调研数据和生理学实验数据。

研究结果显示与短VR视频相比, 较长的VR视频导致了较低水平的兴奋度, 较高水平的呼吸率,和较少的乐趣。本研究且还证实了呼吸率测量的兴奋度对时间估计的中介作用 和自我报告的兴奋度对乐趣的中介作用。

由于从儿童角度出发的旅游研究有限, 所以本研究填补了儿童VR沉浸体验领域的研究空白。本研究为目的地营销人员提供了有意义的参考, 从而能有效利用亲子旅游和VR对旅游业日益增长的影响。

The current study set out to examine the recruitment practices and job-market readiness of translators in Saudi Arabia in light of the Process in the Acquisition of Translation Competence and Evaluation (PACTE) model of translation competence (TC). The main purpose of the study was to determine the extent to which the outcomes of translator training programs are aligned with job-market requirements.

A case study was conducted adopting a mixed-methods research design to collect qualitative and quantitative data using interviews and a questionnaire. Data were also collected from the analysis of 28 translation job advertisements. The questionnaire targeted employers, while the interviews were conducted with employers and professional translators.

The findings indicate that there is a gap between the outcomes of translator training programs and the needs of the job market with a particular emphasis on the importance of developing trainee translators' job-market skills as well as their awareness of the professional practice of translation.

The findings of the current study are limited to the sample from which data were collected.

The study has significant implications for translators and translator training in Saudi Arabia. Although the Literature, Publishing and Translation Commission and the Saudi Translators' Association were established in 2020, additional measures are needed to support the translation profession in Saudi Arabia. Such support may take the form of specialised accreditation for translator training programs as well as licensing requirements for practitioners. Implementing these measures will play a significant role in establishing benchmarks for translator training programs and promoting the integration of job-market requirements into translator training.

Although TC has been examined in the Saudi context before, examining it in light of the PACTE framework sheds new light on the job-market readiness of translation program graduates and enriches the literature on the training of translators in Saudi Arabia.

Menstruation poses psycho-physiological challenges globally due to a lack of awareness, unhygienic practices and social stigma. This paper aims to assess the existing body of research on menstrual health and hygiene (MHH) worldwide.

This study focuses on seminal works published in the Scopus Database from 1946 to 2023 for extensive bibliometric analysis, involving 756 bibliographic records analyzed through Biblioshiny and VOSviewer software. The authors use thematic analysis to identify core research themes and sub-themes, coupled with a critical review of the most highly cited articles within each thematic category.

The research into MHH has consistently grown since 2010, with a notable surge in the past five years. Among all countries, the USA emerges as the most active contributor, boasting the highest number of publications and citations. In terms of organizations, The London School of Hygiene and Tropical Medicine takes the lead with 54 articles. Further, PLOS ONE and Waterlines were the most productive and influential journals, respectively. The thematic analysis identifies key research foci, including tampons, menstrual health, sanitation, hygiene and bleeding.

Further research could be initiated in areas of menstrual education and awareness, menstrual product safety and effectiveness and menstrual disorders and treatments to address the concerns especially encountered by women from developing countries.

This research provides a comprehensive analysis of 77 years of MHH research, offering valuable insights into key areas of concern and guiding future research directions, ultimately addressing critical global health challenges.

This article reviews selected literature on the causes and effects of mood. Theoretical mechanisms for explaining the mood phenomenon are also considered. Finally, some practical implications are discussed and specific recommendations are made for research that will advance our understanding of the mood phenomenon and provide useful information to managers.

This chapter proposes an optimized innovative information technology as a means for achieving operational functionalities of real-time portable electronic health records, system interoperability, longitudinal health-risks research cohort and surveillance of adverse events infrastructure, and clinical, genome regions – disease and interventional prevention infrastructure. In application to the Dod-VA (Department of Defense and Veteran's Administration) health information systems, the proposed modernization can be carried out as an “add-on” expansion (estimated at $288 million in constant dollars) or as a “stand-alone” innovative information technology system (estimated at $489.7 million), and either solution will prototype an infrastructure for nation-wide health information systems interoperability, portable real-time electronic health records (EHRs), adverse events surveillance, and interventional prevention based on targeted single nucleotide polymorphisms (SNPs) discovery.

AN interesting comment from the Salisbury and South Wilts team of industrialists who put the first Local Productivity Council Circuit Scheme into operation in their area suggests that this scheme may prove invaluable in awakening general interest in, and in giving practical impetus to, increased productivity at all levels.

The purpose of this paper is to conduct research with children, who have different abilities from adults, in terms of language understanding and level of attention, is a challenging task, especially concerning novel interactive systems such as social robots. Consequently, self-reporting methods are often replaced or supplemented by observational methods that are usually carried out taking advantage of video recordings. However, some limitations make this approach challenging for studies conducted with groups of children in real-world environments, whose relevance is being addressed more and more frequently in human-robot interaction (HRI) research. Thus, there is a growing need for rigorous observation approaches in unstructured test environments.

This paper presents an alternative analysis approach, in relation to an experimental child-robot interaction (CRI) application, which was developed at the Academy of Arts and Design, Tsinghua University, China. The proposed methodology is based on the analysis of video recordings of in-wild activities of children with a robot. The methodology has the aim of providing a framework to facilitate knowledge identification and structuring. It was implemented for experiment evaluation and validation purposes and to propose a reference structure for the organization of new experiments and the stimulation of new ideas and activities in the design process.

This methodology provides a logical structure, which can be used to identify the effectiveness or limits of design choices, pertaining to such aspects as the morphology or movement of robots or the choice of their specific role in education, all of which play crucial roles in the design process and could be improved to achieve better results. This structured identification is a practical implication for the design process, above all when it is oriented toward social robots and their interaction with children or elderly senile people. In this case, the outcomes were the identification of important elements of an experiment (psychological profiles of the involved children and possible problems or risks) and their impact on the design process.

The methodological approach, which structures and uses cognitive maps to elaborate multicriteria evaluation models, is not new to the operations research field (where it is defined as a multimethodology application of Soft OR), but it has not yet been applied in the field of HRI studies, to analyze children’s perception of a robot and to identify the factors that can affect a good CRI or to structure knowledge that can be shared to guide the design process of robots for the experience of children playing.

The paper aims to present the development of a detection scheme for pilot fatigue using fuzzy logic. Evaluation parameters based on the dynamic response of the pilot/aircraft system are to be defined and criteria for online fatigue detection to be formulated.

The approach is based on the idea that, while performing the same task, under otherwise identical conditions, the dynamic signatures of the pilot/aircraft system are different depending on the pilot condition, “rested” or “tired.” Tests performed on a 6 degrees‐of‐freedom (DOF) flight simulator with pilots at two extreme levels of alertness are used to define parameters based on aircraft states and pilot input measurements that can serve as pilot fatigue detectors at steady state flight conditions. These parameters are computed using the statistics of the tracking errors (TE), state and control time histories, and the Fourier transforms of the TE. Fuzzy logic is used to evaluate the pilot condition based on composite detection parameters.

Validation tests on a 6 DOF flight simulator showed that the proposed detection scheme has promising capabilities for safety monitoring purposes and design of control laws that can accommodate for pilot abnormal conditions.

The pilot fatigue detection algorithm presented in this paper can be used as a starting point for future research in the following directions: development of safety monitoring systems for warning and/or triggering of automatic control compensation; development of pilot fault‐tolerant control laws; development of human pilot models for simulation, handling qualities assessment, and control laws design.

The approach for pilot fatigue detection proposed in this paper is a viable alternative to existing methods based on physiological measurements such as electrical activity of the brain, pulse, body temperature, etc. which imply direct and permanent connection of the pilot to the measurement system and interfere adversely with pilot comfort and his/her ability to perform the task. The proposed approach eliminates this drawback and does not require on‐board additional heavy equipment.

Pilot fatigue assessment from measurements of pilot/aircraft dynamic parameters has not yet been investigated as an alternative to the physiological approach.