Human factors engineering simulated analysis in administrative, operational and maintenance loops of nuclear reactor control unit using artificial intelligence and machine learning techniques.

The nuclear reactor control unit employs human factor engineering to ensure efficient operations and prevent any catastrophic incidents. This sector is of utmost importance for public safety. This study focuses on simulated analysis of specific areas of nuclear reactor control, specifically administration, operation, and maintenance, using artificial intelligence software. The investigation yields effective artificial intelligence algorithms that capture the essential and non-essential components of numerous parameters to be monitored in nuclear reactor control. The investigation further examines the interdependencies between various parameters and validates the statistical outputs of the model through attribution analysis. Furthermore, a Multivariant ANOVA analysis is conducted to identify the interactive plots and mean plots of crucial parameters interactions. The artificial intelligence algorithms demonstrate the correlation between the number of vacant staff jobs and both the frequency of license event reports each year and the ratio of contract employees to regular employees in the administrative domain. An AI method uncovers the relationships between the operator failing rate (OFR), operator processed errors (OEE), and operations at limited time frames (OLC). The AI algorithm reveals the interdependence between equipment in the out of service (EOS), progressive maintenance schedule (PRMR), and preventive maintenance schedules (PMRC). Effective machine learning neural network models are derived from generative adversarial network (GAN) algorithms and proposed for administrative, operational and maintenance loops of nuclear reactor control unit.

Preventing fear return in humans: Music-based intervention during reactivation-extinction paradigm.

In several research studies, the reactivation extinction paradigm did not effectively prevent the return of fear if administered without any intervention technique. Therefore, in this study, the authors hypothesized that playing music (high valence, low arousal) during the reconsolidation window may be a viable intervention technique for eliminating fear-related responses. A three-day auditory differential fear conditioning paradigm was used to establish fear conditioning. Participants were randomly assigned into three groups, i.e., one control group, standard extinction (SE), and two experimental groups, reactivation extinction Group (RE) and music reactivation extinction (MRE), of twenty participants in each group. Day 1 included the habituation and fear acquisition phases; on Day 2 (after 24 hours), the intervention was conducted, and re-extinction took place on Day 3. Skin conductance responses were used as the primary outcome measure. Results indicated that the MRE group was more effective in reducing fear response than the RE and SE groups in the re-extinction phase. Furthermore, there was no significant difference observed between SE and RE groups. This is the first study known to demonstrate the effectiveness of music intervention in preventing the return of fear in a healthy individual. Therefore, it might also be employed as an intervention strategy (non-pharmacological approach) for military veterans, in emotion regulation, those diagnosed with post-traumatic stress disorder, and those suffering from specific phobias.

Cognitive neuroscience perspective on memory: overview and summary.

This paper explores memory from a cognitive neuroscience perspective and examines associated neural mechanisms. It examines the different types of memory: working, declarative, and non-declarative, and the brain regions involved in each type. The paper highlights the role of different brain regions, such as the prefrontal cortex in working memory and the hippocampus in declarative memory. The paper also examines the mechanisms that underlie the formation and consolidation of memory, including the importance of sleep in the consolidation of memory and the role of the hippocampus in linking new memories to existing cognitive schemata. The paper highlights two types of memory consolidation processes: cellular consolidation and system consolidation. Cellular consolidation is the process of stabilizing information by strengthening synaptic connections. System consolidation models suggest that memories are initially stored in the hippocampus and are gradually consolidated into the neocortex over time. The consolidation process involves a hippocampal-neocortical binding process incorporating newly acquired information into existing cognitive schemata. The paper highlights the role of the medial temporal lobe and its involvement in autobiographical memory. Further, the paper discusses the relationship between episodic and semantic memory and the role of the hippocampus. Finally, the paper underscores the need for further research into the neurobiological mechanisms underlying non-declarative memory, particularly conditioning. Overall, the paper provides a comprehensive overview from a cognitive neuroscience perspective of the different processes involved in memory consolidation of different types of memory.

Investigating factors affecting musculoskeletal disorders: Predictive models for identifying caregivers at risk.

BACKGROUND: Musculoskeletal disorders (MSDs) are the most common work-related injuries identified among caregivers in the health sector as a high-risk group. OBJECTIVES: The study aimed to investigate the factors that influence musculoskeletal disorders among caregiver and to evaluate the relationship between work and non-work related factors with MSDs. METHODS: Data were collected from 104 caregivers using descriptive design and stratified cluster sampling. The survey included a demographic questionnaire and a Nordic Standardized Musculoskeletal Questionnaire. Logistic regression was performed to determine the risk factors associated with MSDs. The Odds ratio (OR) was calculated to define the influence of each risk factors. In addition, we used forward logistic regression analysis to validate the predictive model. RESULTS: In this cross-sectional survey, the results showed that 70 (67.3%) participants reported MSDs. MSD was highest at the lower back (46%), then knee (15.4%) and shoulder (11.5%). The overall success of the prediction is 90.4% (94.6 for having MSDs). The most important risk factors were manual handling (p < 0.001, odds ratio = 45.64) followed by bending (p = 0.008, odds ratio = 39.4). CONCLUSIONS: The results of this study reaffirmed the high prevalence of work-related MSD among caregiver's primarily in the lower back. The most important risk factors were manual handling, followed by bending / twisting, and handling of an excessive number of patients. Therefore, it is necessary to consider appropriate policies for managing MSDs among caregivers.

Emerging OSH Issues in Installation and Maintenance of Floating Solar Photovoltaic Projects and Their Link with Sustainable Development Goals.

OBJECTIVE: Emerging issues of occupational safety and health (OSH) in floating solar photovoltaic projects (FSPV) have rarely been addressed to achieve the Sustainable Development Goals (SDGs). The current scoping review has been planned to demonstrate OSH issues experienced by the workers engaged in the installation and maintenance of FSPV projects and existing ergonomics design interventions in the solar photovoltaic industry with a focus on the FSPV sector. METHODS: A literature review was conducted from four major electronic databases (Science Direct, Google Scholar, Web of Science, and Scopus) using predefined keywords and following the PRISMA framework for the period 1965-2020. A total of 49 studies under five headings, namely a) overview of key reasons for the emergence of floating solar photovoltaic projects, b) occupational risks of workers engaged in the solar PV industry/FSPV sector, c) occupational risks in workplaces/occupations similar to floating solar photovoltaics projects, d) availability of training modules and occupational standards, and e) design interventions/approaches in the solar PV industry/floating photovoltaics sector were analyzed. RESULTS: It emerged that workers are exposed to multifarious occupational risk factors such as heat, solar radiation, ergonomic risks, electrocution, fire, hazardous substances, adverse weather conditions, and psychosocial factors. These risks have not been adequately addressed with required interventions in the FSPV sector. Intervention opportunities include designing innovative tools, lowering of loads, redesigning workplace layouts, introducing job aids, automation, task rotation, job enlargement, design of training modules, OSH standards and changes in work organization/shift, etc. CONCLUSION: This review is a first-of-its-kind effort to highlight the contextual risk factors in the emerging FSPV sector and the need for addressing them through ergonomics design interventions for successfully achieving the Sustainable Development Goals.