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This paper analyses children's experiences of school or family visits to Hare Krishna eco-farms in Europe. The article evaluates the extent to which these encounters enable retention and recollection of memories and, consequently, trigger change towards more sustainable behaviour.

Participatory research, qualitative observations and theories of childhood memory are used to explore the nature of children's environmental encounters on Hare Krishna eco-tours.

Findings reveal that Krishna eco-tours offer a conducive environment for cerebral registering and future reminiscing through the following components: experiential learning of sustainable practices which are radically different to mainstream alternatives, sensory experiences, nature play and entertainment and freedom from everyday constraints.

The emerging literature on children's eco-tourism has largely focussed on market-related aspects and farmers' needs. In contrast, the authors’ conceptual framework, based on contemporary research in childhood memories, offers a tool to evaluate the impacts of eco-tourism from a more holistic perspective.

Because the dynamic characteristics of the stock market are nonlinear, it is unclear whether stock prices can be predicted. This paper aims to explore the predictability of the stock price index from a long-memory perspective. The authors propose hybrid models to predict the next-day closing price index and explore the policy effects behind stock prices. The paper aims to discuss the aforementioned ideas.

The authors found a long memory in the stock price index series using modified R/S and GPH tests, and propose an improved bi-directional gated recurrent units (BiGRU) hybrid network framework to predict the next-day stock price index. The proposed framework integrates (1) A de-noising module—Singular Spectrum Analysis (SSA) algorithm, (2) a predictive module—BiGRU model, and (3) an optimization module—Grid Search Cross-validation (GSCV) algorithm.

Three critical findings are long memory, fit effectiveness and model optimization. There is long memory (predictability) in the stock price index series. The proposed framework yields predictions of optimum fit. Data de-noising and parameter optimization can improve the model fit.

The empirical data are obtained from the financial data of listed companies in the Wind Financial Terminal. The model can accurately predict stock price index series, guide investors to make reasonable investment decisions, and provide a basis for establishing individual industry stock investment strategies.

If the index series in the stock market exhibits long-memory characteristics, the policy implication is that fractal markets, even in the nonlinear case, allow for a corresponding distribution pattern in the value of portfolio assets. The risk of stock price volatility in various sectors has expanded due to the effects of the COVID-19 pandemic and the R-U conflict on the stock market. Predicting future trends by forecasting stock prices is critical for minimizing financial risk. The ability to mitigate the epidemic’s impact and stop losses promptly is relevant to market regulators, companies and other relevant stakeholders.

Although long memory exists, the stock price index series can be predicted. However, price fluctuations are unstable and chaotic, and traditional mathematical and statistical methods cannot provide precise predictions. The network framework proposed in this paper has robust horizontal connections between units, strong memory capability and stronger generalization ability than traditional network structures. The authors demonstrate significant performance improvements of SSA-BiGRU-GSCV over comparison models on Chinese stocks.

This paper aims to develop a novel grey Bernoulli model with memory characteristics, which is designed to dynamically choose the optimal memory kernel function and the length of memory dependence period, ultimately enhancing the model's predictive accuracy.

This paper enhances the traditional grey Bernoulli model by introducing memory-dependent derivatives, resulting in a novel memory-dependent derivative grey model. Additionally, fractional-order accumulation is employed for preprocessing the original data. The length of the memory dependence period for memory-dependent derivatives is determined through grey correlation analysis. Furthermore, the whale optimization algorithm is utilized to optimize the cumulative order, power index and memory kernel function index of the model, enabling adaptability to diverse scenarios.

The selection of appropriate memory kernel functions and memory dependency lengths will improve model prediction performance. The model can adaptively select the memory kernel function and memory dependence length, and the performance of the model is better than other comparison models.

The model presented in this article has some limitations. The grey model is itself suitable for small sample data, and memory-dependent derivatives mainly consider the memory effect on a fixed length. Therefore, this model is mainly applicable to data prediction with short-term memory effect and has certain limitations on time series of long-term memory.

In practical systems, memory effects typically exhibit a decaying pattern, which is effectively characterized by the memory kernel function. The model in this study skillfully determines the appropriate kernel functions and memory dependency lengths to capture these memory effects, enhancing its alignment with real-world scenarios.

Based on the memory-dependent derivative method, a memory-dependent derivative grey Bernoulli model that more accurately reflects the actual memory effect is constructed and applied to power generation forecasting in China, South Korea and India.

This study aimed to examine beliefs in repressed memory and dissociative amnesia from a cross-cultural perspective.

Chinese (n = 123) and Belgian student participants (n = 270) received several statements tapping into various dimensions of repressed memory and dissociative amnesia. Participants provided belief ratings for each of these statements. Because the field of psychoanalysis is less well developed in China, it was expected that Chinese participants would believe less in repressed memory and dissociative amnesia than their Belgian counterparts.

Overall, beliefs in repressed memory and dissociative amnesia were high among all participants. Although confirmatory analyses revealed that most belief ratings concerning statements did not statistically significantly differ between the two samples, Chinese participants did statistically believe less that therapy can recover lost traumatic memories than Belgian participants. Also, exploratory analyses showed that Chinese participants were more critical towards the idea that traumatic memories can be unconsciously repressed and that these memories can be accurately retrieved in therapy than Belgian participants. Many participants also confused repressed memory with plausible memory mechanisms such as ordinary forgetting.

The current study extends previous surveys on repressed memory and dissociative amnesia by comparing their beliefs in different cultures.

This study aims to explain the evaluation of a training programme for older adults to make them facilitators of a memory training project. Older adults were trained as facilitators to respond to the need to continue training memory and promote the active role of adults in the community.

The Kirkpatrick model was used to comprehensively evaluate the training programme. The participants were 89 older adults from the city of Barcelona, with an average age of 73.1 years old. To evaluate the training programme, six instruments were administered, adapted to the four levels established in Kirkpatrick’s model.

The results obtained show that the programme to train facilitators enables older adults to become facilitators in a memory training project.

Two limitations have been identified. The first is to analyse the extent to which the participants learned from the facilitator’s memory training project. The second is the methodological improvement for future research on two issues: strengthening the validity of the instruments and incorporating a control group.

The implications for practice, presented in this article, are twofold. One is the importance of lifelong learning as a resource for remaining healthy. Another implication is the active role of older adults in the community.

This research enables older adults to become involved in responding to their own needs such as memory training. In turn, it contributes to promoting active ageing and community participation.

The purpose of this study is to clarify the role of various levels of modality richness [text-visual, audiovisual and augmented reality interactive technology (ARIT)] on vivid memories (visual sensory detailed, emotionally intense, first-person perspective and coherent) and exploratory behavior. To clarify which modality richness online retailers use is more appropriate to create a virtual reality simulation experience to fill a significant gap in the sensory interactive marketing paradigm.

A task-based laboratory study was conducted to provide users with private try-on space. A total of 429 valid questionnaires were collected, and partial least squares path modeling was adopted to test hypotheses.

The results indicate that various levels of modality richness (text-visual, audiovisual and ARIT) positively affect vivid memories (visual sensory detailed, emotionally intense, first-person perspective and coherent), and vivid memories successfully induce exploratory behavior.

The study results could also help retailers and brands with clear guidance in designing and creating simulation experience services and choosing the best way to present products. With the results of this research, retailers will also be able to grasp better the critical points of introducing innovative technology into the service experience and then create the benefits of digital economic growth.

Exploring which digital interactive technology online retailers use is more appropriate to create a virtual reality shopping experience to fill a significant gap in the sensory interactive marketing paradigm. Exploring the antecedents of vivid memories in a digital sensory interactive experience contributes to the body schema literature and the script theory. We draw from construal level theory (CLT) to clarify the impact of various levels of modality richness on driving the difference in sensory simulation schema to break through the limited findings of previous studies, namely using CLT to interpret psychological distance.

This article explores memory work and storytelling as an organising tool through family histories, offering theoretical and methodological implications and extending existing conceptualisations of memory work as a feminist method. This approach is termed as impressionist memory work.

To illustrate impressionistic memory work in action, the article presents two family histories set during Second World War and invite the reader to engage in the “undoing” of these stories and dominant ways of knowing through storytelling. This method challenges the taken-for-granted roles, plots and detail of family histories to uncover the obscured or silenced stories within, together with feminine, affective and embodied subjectivities, marginalisation and social inequalities.

This study argues that impressionistic memory work as a feminist method can challenge the silencing and gendering of experiences in co-constructed and co-interpreted narratives (both formal and informal ones).

This study shows that engagement with impressionistic memory work can challenge taken-for-granted stories with prominent male actors and masculine narratives to reveal the female actors and feminine narratives within. This approach will offer a more inclusive perspective on family histories and deeper engagement with the marginalised or neglected actors and aspects of our histories.

The purpose of this study was to investigate cognitive behavior therapists and trainees’s beliefs about various aspects of traumatic memory and to investigate cognitive behavior therapists’ practices in relation to alleged traumatic experiences and whether they are linked with their beliefs about various aspects of traumatic memory.

In the current study, the authors surveyed, by a questionnaire (in Italian), certified Italian cognitive behavioral (CB) therapists and trainees with respect to their beliefs in traumatic memories and whether they discussed about the possibility of repressed memory with their patients.

The majority of participants held strong beliefs about many controversial aspects related to traumatic memory, such as the mind being able to block out of consciousness memories of traumatic experiences. Also, more than half of CB therapists stated that they sometimes discussed about the importance of traumatic events in the genesis of their patient’s disorder and half of them sometimes talked with patients about memories for traumatic events of which they may be unaware. Such practices could lead to false memories of abuse

One particularly novel finding relates to the evidence that therapists reported that they had discussed with patients the importance of traumatic events in the genesis of their illness and frequently noted that they talked about the possibility of repressed memories with them. In turn, patients may be induced to recall traumatic experiences from their lives, thereby producing false memories which may tear families apart and could even lead to wrongful convictions.