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Introduction Sleep disorders (e.g., insomnia) are extremely prevalent in our population and are intimately associated with distress and productivity impairment. It is estimated that between 40 to 60% of people suffering from a sleep disorder have an underlying psychiatric diagnosis. Mindfulness, which is described as the quality or state of being self-conscious or aware of something, has shown to be a potential helpful therapy in insomnia. Objectives Therefore, and due to the lack of new and effective treatment approaches, we did a non-systematic review of the positive impact of mindfulness in quality of sleep. Methods Bibliographic research through PubMed, Web of Science and Springer Link. Results The mindfulness tools that may be linked to its therapeutic effects include the awareness state and conscious posture to respond when perceiving insomnia symptoms, as well as the modulation of sleep-related arousal courses. These can be primary when directly related to the inability to sleep, or secondary if considering the relationship with thoughts about sleep (such as the tendency to create bias in the attention and perception of sleep related thoughts). Formerly, mindfulness-based cognitive therapy (MTPC) was designed for the treatment of chronic depression and has shown to be efficacious. It was hypothesized that interoceptive dysfunction in the insula, commonly observed in anxiety and depression, may respond to MTPC by the gained interoceptive awareness, which provides advantage to adapt to life challenges and ongoing adjustments. Conclusions Based on the currently available literature, mindfulness-based strategies may be a valuable treatment option in sleep disorders, especially for patients with concomitant mental illness. Therefore, it is necessary further research to standardize in terms of type of approach, duration, and outcome measures since it seems promising as an intervention for insomnia. Disclosure of Interest None Declared

Introduction Suicide in older people is a critical public and mental health issue which requires attention, given that the ageing population is increasing. Multiple factors, including biological, psychological, and social stressors increase suicidal susceptibility. Unfortunately, elderly are more susceptible to these, such as psychiatric disturbances, physical comorbidities, prior suicide-related behaviours, lack of social support, grief, and increased difficulty in problem-solving Objectives In order to review the risk and protective factors, assessment and prevention of suicide in older adults. Methods Bibliographic research through PubMed and Web of Science. Results Older people can be subdivided into three age groups (from “young old” at 65 years old to “oldest old” after 85 years of age), with suicide being more prevalent in the oldest-old, and overall in men above 75 years old. Previous psychiatric background, suicidal attempts, substance abuse, poor physical health or disability, family psychiatric history, low social support or isolation, and finantial stress most frequently predispose to suicidal ideation, suicide attempts or death by suicide in this community. Besides this, ageing relates to a tendency to cognitive impairment, which affects coping mechanisms, leading to deficits in reasoning and decision-making under stressful circumstances during depressive episodes. This can mediate suicidal ideation and associates to greater lethality methods. Geriatric suicidal attempters have been shown to have greater degrees of cortical and subcortical cerebral areas, including the frontal, parietal and temporal regions, as well as significant loss of volume in the dorsomedial prefrontal cortex, insula, midbrain, cerebellum, lentiform nucleus and putamen. Abnormalities in these regions can impair executive and cognitive function, attention, problem solving and ultimately be responsible for suicidal behaviour. On the other hand, there are suicide protective elements such as physical and cognitive fitness, quality of life and life satisfaction, marital status, religiousness and social support. A prompt identification of modifiable risk factors and strengthening the protective ones by health professionals can reduce this prospect. Conclusions Suicidal ideation in older people is a multifactorial public health concern given the very high frequency of completed suicides in this population. Therefore, it is urgent to review and further research to build more effective suicide prevention strategies. Disclosure of Interest None Declared

The task of automatically and intelligently diagnosing faults in marine equipment is of great significance due to the numerous duties that shipboard professionals must handle. Incorporating automated and intelligent systems on ships allows for more efficient equipment monitoring and better decision-making. This approach has attracted considerable interest in both academia and industry because of its potential for economic savings and improved safety. Several fault diagnosis methods are documented in the literature, often involving mathematical and control theory models. However, due to the inherent complexity of some processes, not all characteristics are precisely known, making mathematical modeling highly challenging. As a result, fault diagnosis often depends on data or heuristic information. Fuzzy logic theory is particularly well suited for processing this type of information. Therefore, this paper employs fuzzy models to diagnose faults in a marine pneumatic servo-actuated valve. The fuzzy models used in fault diagnosis are obtained from the data. These fuzzy models are identified for the normal operation of the marine pneumatic servo-actuated valve, and for each fault, predicting the system’s outputs from the inputs and outputs of the process. The proposed fault diagnosis framework analyzes the discrepancy signals between the outputs of the fuzzy models and the actual process outputs. These discrepancies, known as residuals, help in detecting and isolating equipment faults. The fault isolation process uses an intelligent decision-making approach to determine the specific fault in the system. This method is applied to diagnose abrupt faults in a marine pneumatic servo-actuated valve. The approach presented was used to detect and diagnose three very important faults in the operation of a marine pneumatic servo-actuated valve. The three faults were correctly detected and isolated, and no errors were detected in this detection and isolation process.

This paper proposes a novel approach to the fuzzy newsvendor problem for inventory management applications. The main contributions of the paper are the following: a new credibility estimation is proposed, to explore the neighborhood around the most impactful demand scenarios; a simulation procedure was designed for the different demand scenarios, which allows comparison of the proposed approach with classical and fuzzy multi-item newsvendor problems; a modified genetic algorithm (GA) is introduced to ameliorate previous genetic algorithms in both the generation and evaluation of solutions. The new formulation of the fuzzy newsvendor problem, together with the modified GA, were shown to improve the average profit by up to 55% in problems with low-budget scenarios.

Robotic systems are increasingly present in dynamic environments. This paper proposes a hierarchical control structure wherein a behavior tree (BT) is used to improve the flexibility and adaptability of an omni-directional mobile robot for point stabilization. Flexibility and adaptability are crucial at each level of the sense–plan–act loop to implement robust and effective robotic solutions in dynamic environments. The proposed BT combines high-level decision making and continuous execution monitoring while applying non-linear model predictive control (NMPC) for the point stabilization of an omni-directional mobile robot. The proposed control architecture can guide the mobile robot to any configuration within the workspace while satisfying state constraints (e.g., obstacle avoidance) and input constraints (e.g., motor limits). The effectiveness of the controller was validated through a set of realistic simulation scenarios and experiments in a real environment, where an industrial omni-directional mobile robot performed a point stabilization task with obstacle avoidance in a workspace.

In the last few decades, there has been a growing necessity for systems that handle market changes and personalized customer needs with near mass production efficiency, defined as the new mass customization paradigm. The Industry 5.0 vision further enhances the human-centricity aspect, in the necessity for manufacturing systems to cooperate with workers, taking advantage of their problem-solving capabilities, creativity, and expertise of the manufacturing process. A solution is to develop a flexible manufacturing system capable of handling different customer requests and real-time decisions from operators. This paper tackles these aspects by proposing a digital twin of a robotic system for solution preparation capable of making real-time scheduling decisions and forecasts using a simulation model while allowing human interventions. A discrete event simulation model was used to forecast possible system improvements. The simulation handles real-time scheduling considering the possibility of adding identical parallel machines. Results show that processing multiple jobs simultaneously with more than one machine on critical processes, increasing the robot speed, and using heuristics that emphasize the shortest transportation time can reduce the overall completion time by 82%. The simulation model has an animated visualization window for a deeper understanding of the system.

Sesquiterpene lactones, a vast range of terpenoids isolated from Asteraceae species, exhibit a broad spectrum of biological effects and several of them are already commercially available, such as artemisinin. Here the most recent and impactful results of in vivo, preclinical and clinical studies involving a selection of ten sesquiterpene lactones (alantolactone, arglabin, costunolide, cynaropicrin, helenalin, inuviscolide, lactucin, parthenolide, thapsigargin and tomentosin) are presented and discussed, along with some of their derivatives. In the authors’ opinion, these compounds have been neglected compared to others, although they could be of great use in developing important new pharmaceutical products. The selected sesquiterpenes show promising anticancer and anti-inflammatory effects, acting on various targets. Moreover, they exhibit antifungal, anxiolytic, analgesic, and antitrypanosomal activities. Several studies discussed here clearly show the potential that some of them have in combination therapy, as sensitizing agents to facilitate and enhance the action of drugs in clinical use. The derivatives show greater pharmacological value since they have better pharmacokinetics, stability, potency, and/or selectivity. All these natural terpenoids and their derivatives exhibit properties that invite further research by the scientific community.

Vector control remains the sole effective method to prevent dengue virus (DENV) transmission, although a vaccine for dengue has recently become available and testing of its efficacy and coverage is being performed in multiple places. Entomological surveillance is a key factor in alerting authorities to possible outbreaks, but until now natural DENV infection of mosquito populations has been scarcely used as an early warning system to monitor fluctuating prevalence of infected mosquitoes. The purpose of this study was to determine the burden of adult and larval/pupae of Aedes aegypti and Aedes albopictus with DENV in urban areas in the state of Rio Grande do Norte, Brazil.Immature insect forms (larvae and pupae) were collected from April 2011 to March 2012, whereas the collection of adults was conducted along 3 years: May 2011 to April 2014. Total RNAs of the samples were extracted and the nested reverse transcriptase PCR assay for detecting and typing DENV was performed. Of the 1333 immature insects collected during the study period, 1186 (89%) were A. aegypti and 147 (11%) A. albopictus. DENV-4 was identified in pools of A. aegypti larvae. The rate of DENV infection in immature A. aegypti was expressed as MIR = 3.37. DENV wasnot detected in immature A. albopictus. A total of 1360 adult female mosquitoes of the Aedes genus were captured from May 2011 to April 2014. Of this total, 1293 were A. aegypti (95%) and 67 were A. albopictus (5%). From the 130 pools studied, 27 (20.7%) were positive for DENV. DENV-1 was identified in 2/27 (7.4%) pools; 1of A. albopictus and 1 of A. aegypti. DENV-2 was identified in only 1/27 (3.7%) A. aegypti pools. DENV-4 was the most prevalent, identified in 24/27 (88.8%) of the positive pools, with 19 being of A. aegypti and 5 of A. albopictus pools. The minimum infection rate for adults of the Aedes genus was 19.8, considering both A. aegypti and A. albopictus.This work represents the most complete study to date on the interaction between dengue viruses and Aedes mosquitoes in the State of Rio Grande do Norte, and raises important questions about a possible role of A. albopictus in the transmission of dengue virus in Brazil.