In this paper, we attempt to verify a hypothesis of informational efficiency of financial markets, known as “random walk” introduced by Fama. Such hypotheses could be considered in relation to financial crises. In our study the hypothesis is tested on data taken from Warsaw Stock Exchange in 2007–2009 years. The hypothesis is tested by predictive modelling based on Machine Learning (ML). We compare conventional ML techniques and the proposed “deep” neural-network structures grown by Group Method of Data Handling (GMDH). In our experiments a GMDH-type neural-network model has outperformed the conventional ML techniques, which is important for achieving the reliable results of predictive modelling and testing the hypothesis. GMDH-type modelling does not require the knowledge of network structure, as a desired network of near-optimal connectivity is learnt from the data. The experimental results compared in terms of prediction error show that the GMDH-type prediction model has a significantly smaller error than the conventional autoregressive and neural-network models.

This article considers memories, mementos, and memorialization in stories by unaccompanied young people and their journeys within Europe. It looks at their ‘navigation’ of remembering and forgetting and how this intertwines with movement and stillness. It is based on a study about Afghan males aged 15–24 years in Norway and Greece. Participants differed in terms of their backgrounds, migration projects, and their legal status. In their various circumstances, their narratives point to how memories unfold, are shared, must be negotiated, and sometimes, forgotten as they navigate towards a sense of safety and a sustainable future. They also point to how mementos may take different forms while on the move, as traces along the migration trail that have the potential to become part of the memories of others who come across them. Finally, their narratives point to practices of memorialization, and how they too are intimately connected to remembering and forgetting

Background The absence of menstruation is common in women who use drugs. This can give a belief that conception is unlikely. When stabilised on Opioid Substitution Treatment (OST), fertility often returns, initially without realisation as ovulation precedes menstruation. This leaves women vulnerable to unplanned pregnancies. Community pharmacists (CPs) are frequently in contact with this patient group through the Supervised Consumption of OST service. This provides a timely opportunity to provide reproductive health (RH) advice. The aim of this study was to investigate pharmacists' views on providing a RH service to women receiving OST. Methods Twenty semi-structured interviews based on the Capability-Opportunity-Motivation to Behaviour (COM-B) model and the Theoretical Domains Framework (TDF) were conducted between 2016 and 2017. Data analysis involved deductive coding using the TDF domains. The TDF domains were mapped onto the elements of the COM-B and used in the second step to create the framework and chart the data. The third step involved re-reading and clustering the codes, and inductive themes were generated to explain the data in depth. Results Nine of the 14 TDF domains, mapped into five elements of the COM-B, were identified. Five inductive themes were generated: 1) The pharmacists' experience and knowledge of reproductive health (RH) needs of women receiving OST, 2) The pharmacists' approach to providing advice, 3) The pharmacists' perception of the relationship with women receiving OST, 4) Social influences, and 5) Environmental factors. Community pharmacists feared causing offense to women receiving OST and described requiring cues as to when the service was needed. Pharmacists' highlighted a power imbalance in the relationship with women receiving OST. This could influence how receptive this patient group would be to pharmacy RH interventions. Conclusions CPs' concerns of providing RH service could hinder a proactive service provision. Supporting good rapport and providing a structured consultation would increase the accessibility of such a service.

The ongoing COVID-19 health emergency, and the restrictions that it has placed on research, led many researchers to the re-evaluation of how social research interviews need to go online and how these can be enhanced. The online space presents a platform that brings participants and researchers together in an environment owned by both regardless of who hosts the online session. Online methods are likely to continue through emergencies and crises in general and beyond, and this calls for innovative ways to enhance online research interviews. This chapter discusses a study of a series of online interviews where interviewees were invited to bring an object of personal value with the aim to facilitate a discussion on ‘happiness in lockdown.’ The selected topic served as a vehicle to explore this approach to online interviews while contextualising it in a crisis situation. It also helped to anchor the discussion around a positive theme in the middle of a global crisis. The study aimed at exploring the dynamics observed and the type of thematic materials gathered in this research context. The focus is to investigate the research technique and explore the benefits and challenges of using objects in social research interviews online. As participants select objects related to the research, they are given some control to steer the discussion. Hennigar (1997) discussed the shift in thinking when artefacts are placed at the center of the conversation, and the participant’s own values, beliefs and views about the world could be explored in more depth resulting in what Rubin and Rubin (2012: 95) call an ‘extended conversation.’ The purpose of such a conversation is to explore in depth some themes of relevance to the interviewee through their choice of objects. Using Thematic Analysis (Braun and Clarke, 2006), we explored the richness, depth and genuineness of the materials gathered in object-based online research interviews. The chapter details the research process, discussing the benefits and challenges of using objects as enhancing tools in social research interviews conducted online. It considers how participants chose their items, how the tool compares with other enhancing tools, and some methodological implications. The chapter concludes with our reflection as interviewers offering advice to researchers who may choose to use this enhancing technique in their online interviews.

The desk rejection of submitted articles can be a hugely frustrating and demotivating process from the perspective of the researcher, but equally, a time-consuming and vital step in the process for the Editor, tasked with selecting appropriate articles that meet the required criteria for further review and scrutiny. The feedback from journal Editors within this editorial, highlights the significant gaps in understanding from many academics of the journal assessment process and acceptance criteria for progression to the review stage. This editorial offers a valuable “lived-in” perspective on the desk rejection process through the lens of the Editor, via the differing views of nine leading journal Editors. Each Editor articulates their own perspectives on the many reasons for desk rejection, offering key insight to researchers on how to align their submissions to the specific journal requirements and required quality criteria, whilst demonstrating relevance and contribution to theory and practice. This editorial develops a succinct summary of the key findings from the differing Editor perspectives, offering a timely contribution of significant value and benefit to academics and industry researchers alike.

Physical overexertion can lead to detrimental overreaching states without sufficient recovery, which may be identifiable by blunted exercise-induced cortisol and testosterone responses. A running test (RPETP) elicits reproducible plasma cortisol and testosterone elevations (in a healthy state) and may detect blunted hormonal responses in overreached athletes. This current study determined the salivary cortisol and testosterone responses reproducibility to the RPETP, to provide greater practical validity using saliva compared with the previously utilized blood sampling. Second, the relationship between the salivary and plasma responses was assessed. A total of 23 active, healthy males completed the RPETP on 3 occasions. Saliva (N = 23) and plasma (N = 13) were collected preexercise, postexercise, and 30 minutes postexercise. Salivary cortisol did not elevate in any RPETP trial, and reduced concentrations occurred 30 minutes postexercise (P = .029, η2 = .287); trial differences were observed (P < .001, η2 = .463). The RPETP elevated (P < .001, η2 = .593) salivary testosterone with no effect of trial (P = .789, η2 = .022). Intraindividual variability was 25% in cortisol and 17% in testosterone. "Fair" intraclass coefficients of .46 (cortisol) and .40 (testosterone) were found. Salivary and plasma cortisol positively correlated (R = .581, P = .037) yet did not for testosterone (R = .345, P = .248). The reproducibility of salivary testosterone response to the RPETP is evident and supports its use as a potential tool, subject to further confirmatory work, to detect hormonal dysfunction during overreaching. Salivary cortisol responds inconsistently in a somewhat individualized manner to the RPETP.

Detecting when a person leaves a room, or a house is essential to create a safe living environment for people suffering from dementia or other mental disorders. The approaches based on wearable devices, e.g. GPS bracelets may detect such events require periodic maintenance to recharge or replace batteries, and therefore may not be suitable for certain types of users. On the other hand, camera-based systems require illumination and raise potential privacy concerns. In this paper, we propose a device-free walking direction detection approach based on RF-sensing, which does not require a person to wear any equipment. The proposed approach monitors the signal strength fluctuations caused by the human body on ambient wireless links and analyses its spatial patterns using a convolutional neural network to identify the walking direction. The approach has been evaluated experimentally to achieve up to 98% classification accuracy depending on the environment.