Search Results (567)

The multi-strategy optimized dream optimization algorithm (MSDOA) is proposed to address the challenges of inadequate search capability, slow convergence, and susceptibility to local optima in intelligent optimization algorithms applied to UAV three-dimensional path planning, aiming to enhance the global search efficiency and accuracy of UAV path planning algorithms in 3D environments. First, the algorithm utilizes Bernoulli chaotic mapping for population initialization to widen individual search ranges and enhance population diversity. Subsequently, an adaptive perturbation mechanism is incorporated during the exploration phase along with a lens imaging reverse learning strategy to update the population, thereby improving the exploration ability and accelerating convergence while mitigating premature convergence. Lastly, an Adaptive Individual-level Mixed Strategy (AIMS) is developed to conduct a more flexible search process and enhance the algorithm’s global search capability. The performance of the algorithm is evaluated through simulation experiments using the CEC2017 benchmark test functions. The results indicate that the proposed algorithm achieves superior optimization accuracy, faster convergence speed, and enhanced robustness compared to other swarm intelligence algorithms. Specifically, MSDOA ranks first on 28 out of 29 benchmark functions in the CEC2017 test suite, demonstrating its outstanding global search capability and conver-gence performance. Furthermore, UAV path planning simulation experiments conducted across multiple scenario models show that MSDOA exhibits stronger adaptability to complex three-dimensional environments. In the most challenging scenario, compared to the standard DOA, MSDOA reduces the best cost function fitness by 9% and decreases the average cost function fitness by 12%, thereby generating more efficient, smoother, and higher-quality flight paths. Full article

Background/Objectives: Lucid dreaming (LD), during which the dreamer becomes aware of the dream state, offers a unique opportunity for a variety of applications, including motor practice, personal well-being, and nightmare therapy. However, these applications largely depend on the dreamer’s ability to control their dreams. While LD research has traditionally focused on induction techniques to increase dream frequency, the equally important skill of dream control remains largely underexplored. This study provides an exploration into the mechanisms of LD motor practice, dream control, and its potential influencing factors. We specifically examined whether a complex motor skill—juggling—could be performed during LD, calling for relatively high levels of dream control and access to procedural memory. Methods: Four healthy participants underwent overnight polysomnography (PSG), provided detailed dream reports, and completed questionnaires assessing dream control and self-efficacy. Dream-task success was assessed using predefined in-dream motor performance criteria. Differences between high and low LD control participants were examined, and two detailed case reports of lucid dream juggling attempts provide insight into the challenges of executing complex motor tasks during LD. Results: Dream control varied between and within participants. Both dream control and self-efficacy seemed to predict participants’ ability to execute the LD motor task. Conclusions: Despite the low sample size, this study highlights the potential roles of individual traits like self-efficacy in shaping dream control abilities and motor performance during LD. By using empirical, task-based measures, this study helps build the foundation for future research aimed at optimizing LD applications in clinical and non-clinical fields. Full article

Background: With growing evidence regarding long-term clinical results of left main angioplasty, it has become clear that the gap between percutaneous coronary interventions (PCIs) and bypass surgery can be narrowed only by improving the PCI technique. While intravascular ultrasound (IVUS) has become routinely used for this subset of lesions, there is still insufficient data regarding the role of optical coherence tomography (OCT) in left main PCI. Aims: The aim of this study was to investigate the long-term results of OCT-guided PCI in comparison to angiographical guidance alone. Material and methods: We conducted a retrospective single-center high-volume analysis of patients with left main disease treated by PCI. The primary endpoint was all-cause death. Results and discussion: Between January 2013 and January 2024, we enrolled 221 eligible patients with unprotected left main coronary artery disease treated by PCI; among these, 13.1% were treated by OCT-guided PCI and 86.9% by angiographic-guided PCI. At a median follow up of 30.16 months (interquartile range: 14.3–60 months), Kaplan–Meier survival analysis revealed a significantly higher survival probability in the OCT group compared to the non-OCT group (log-rank p = 0.034), with no significant differences between the groups regarding procedural success rate. In the multivariable Cox proportional hazards model, adjusting for other relevant covariates, OCT was borderline non-significantly independently associated with a 63% reduction in mortality (HR = 0.37, p = 0.063). Conclusions: In our study, OCT-guided PCI was associated with early procedural distinctions and a trend toward improved unadjusted survival in LM PCI. The findings highlight the potential procedural advantages of OCT, as well as the need for larger prospective studies to establish its long-term clinical benefits in left main interventions. Full article

Chimeric antigen receptor (CAR)-T-cell therapy has revolutionised haematological cancer treatment. However, its application in solid tumours remains significantly limited by the immunosuppressive tumour microenvironment (TME), poor antigen specificity, and physical barriers to infiltration. This review explores a compelling question: can CAR-T cells be adapted to overcome immunosuppression in solid tumours effectively? We provide an in-depth analysis of the immunological, metabolic, and structural challenges posed by the TME and critically evaluate emerging engineering strategies designed to enhance CAR-T cells’ persistence, targeting, and function. These include metabolic reprogramming, hypoxia-responsive constructs, checkpoint-resistant designs, and innovative delivery techniques such as locoregional administration and nanotechnology-assisted targeting. We highlight promising preclinical and early clinical studies demonstrating that armoured CAR-T cells secreting cytokines like interleukin (IL)-12 and IL-18 can reprogram the TME, restoring antitumour immunity. Moreover, we examine synergistic combination therapies that integrate CAR-T cells with immune checkpoint inhibitors, radiotherapy, oncolytic viruses, and epigenetic modulators. Special attention is given to personalised strategies, such as bispecific targeting and precision delivery to tumour-associated vasculature or stromal elements, which are showing encouraging results in overcoming resistance mechanisms. This review aims not only to synthesise current advancements but also to ignite optimism in the potential of CAR-T-cell therapy to breach the immunological fortress of solid tumours. As we enter a new era of synthetic immunology, this evolving landscape offers hope for durable remissions and novel treatment paradigms. For clinicians, researchers, and biotech innovators, this paper provides a roadmap toward transforming a therapeutic dream into clinical reality. Full article

Traditional vehicle emergency braking research suffers from inaccurate maximum road adhesion coefficient identification and suboptimal wheel slip ratio control. To address these challenges in electronic hydraulic braking systems’ anti-lock braking technology, firstly, this paper proposes a CDOA-SENet-CNN neural network to precisely estimate the maximum road adhesion coefficient by monitoring and analyzing the braking process. Secondly, correlation curves between peak adhesion coefficients and ideal slip ratios are established using the Burckhardt model and CarSim 2020, and the estimated maximum adhesion coefficient from the CDOA-SENet-CNN network is used with these curves to determine the optimal slip ratio for the single-neuron integral sliding mode control (SNISMC) algorithm. Finally, an SNISMC control strategy is developed to adjust the wheel slip ratio to the optimal value, achieving stable wheel control across diverse road surfaces. Results indicate that the CDOA-SENet-CNN network rapidly and accurately estimates the peak braking surface adhesion coefficient. The SNISMC control strategy significantly enhances wheel slip ratio control, consequently increasing the effectiveness of vehicle brakes. This paper introduces an innovative, stable, and efficient solution for enhancing vehicle braking safety. Full article

Background/Objectives: Rapid eye movements (REMs) during sleep were initially associated with dreaming, suggesting a relationship between REMs and dream content; however, this hypothesis was questioned by their differences with the REMs during wakefulness and the evidence that REMs are also present in blind individuals with no visual dreaming. Successive studies have focused on the phenomenology and physiological significance of REMs during sleep. REMs are categorized as expressions of the phasic REM component, which is characterized by bursts of eye movements, whereas the tonic REM component is characterized by quiescent periods without eye movements. Methods: The study is a retrospective analysis of 105 sleep records from 15 subjects. We analyzed the two components, tonic and phasic REM, across the sleep period, the REM activity in the first 5 min and in the last 5 min of each REM period were also assessed. Results: Phasic epochs were more represented than tonic epochs across the whole night period. REM activity in the first and last five minutes of an REM period presented different, although non-significant, patterns across the night. REM activity in the first 5 min showed a curvilinear profile, whereas REM activity in the last 5 min showed a linear increasing trend. A significant correlation was found between the REM activity in the first 5 min of the REM period and the total duration of the REM period. Conclusions: According to our results, the analysis of REM activity and the focus on segments of an REM period could provide more information both on the temporal evolution of REM activity within an REM period and on the possible role of REMs in REM sleep regulation and its significance in psychiatric and neurological disorders. Full article

A multi-objective optimal trajectory planning method is proposed for manipulators in this paper to enhance motion efficiency and to reduce component wear while ensuring motion smoothness. The trajectory is initially interpolated in the joint space by using quintic non-uniform B-splines with virtual points, achieving the C⁴ continuity of joint motion and satisfying dynamic, kinematic, geometric, synchronization, and boundary constraints. The interpolation reformulates the trajectory planning problem into an optimization problem, where the time intervals between desired adjacent waypoints serve as variables. Travelling time and the integral of the squared jerk along the entire trajectories comprise the multi-objective functions. A constrained multi-objective dream optimization algorithm is designed to solve the time–jerk optimal trajectory planning problem and generate Pareto solutions for optimized trajectories. Simulations conducted on 6-DOF manipulators validate the effectiveness and superiority of the proposed method in comparison with existing typical trajectory planning methods. Full article

There has been a growing trend of young people coming out as Lesbian, Gay, Bisexual, Transgender, Queer (LGBTQ) in recent years. Research on the relationship between LGBTQ grandchildren and their grandparents is limited and primarily focuses on the grandchildren’s perspective. This pilot study seeks to understand the relationship between grandparents and their LGBT grandchildren, from the grandparents’ perspective. Six Israeli grandparents were interviewed using a qualitative methodology, guided by a semi-structured interview protocol. Analysis of the interviews revealed three main themes: grandparents’ exposure to the grandchildren’s sexual orientation and their gender identity; the shattering of the grandparents’ dream and concern for the grandchild; and the relations between the grandparents and their LGBT grandchildren. The research findings in this pilot study indicate that the relations remained close and did not change following disclosure of the sexual orientation. However, some grandparents needed time to resume their regular relationship. The insights learned from the research findings regarding the process undergone by the grandparents upon discovering their grandchildren’s sexual orientation can help professionals treat and counsel family members, when necessary, how to bridge the gaps, and rebuild the relations between the grandparent and the grandchild, as these relations are important for the well-being of both. Full article

Effective fault feature extraction and classification methods serve as the foundation for achieving the efficient fault diagnosis of planetary gearboxes. Considering the vibration signals of planetary gearboxes that contain both symmetrical and asymmetrical components, this paper proposes a novel feature extraction method integrating an adaptive multi-bandpass filter (AMBPF) and refined composite multi-scale fuzzy entropy (RCMFE). And a dream optimization algorithm (DOA)–least squares support vector machine (LSSVM) is also proposed for fault classification. Firstly, the AMBPF is proposed, which can effectively and adaptively separate the meshing frequencies, harmonic frequencies, and their sideband frequency information of the planetary gearbox, and is combined with RCMFE for fault feature extraction. Secondly, the DOA is employed to optimize the parameters of the LSSVM, aiming to enhance its classification efficiency. Finally, the fault diagnosis of the planetary gearbox is achieved by the AMBPF, RCMFE, and DOA-LSSVM. The experimental results demonstrate that the proposed method achieves significantly higher diagnostic efficiency and exhibits superior noise immunity in planetary gearbox fault diagnosis. Full article

Currently, exploring digital immersive experiences is a new trend in the innovation and development of cultural tourism. This study addresses the growing demand for digital immersion in cultural tourism by examining the integration of spatial narrative and digitally gamified architectural scenarios. This study synthesizes an optimized framework for narrative design in digitally gamified architectural scenarios, integrating spatial narrative theory and feedback-informed design. The proposed model comprises four key components: (1) developing spatial narrative design methods for such scenarios; (2) constructing a spatial language system for spatial narratives using linguistic principles to organize narrative expression; (3) building a preliminary digitally gamified scenario based on the “Wuhu Jiaoji Temple Renovation Project” after architectural and environmental enhancements; and (4) optimization through thermal feedback experiments—collecting visitor trajectory heatmaps, eye-tracking heatmaps, and oculometric data. The results show that the optimized design, validated in the original game Dreams of Jiaoji, effectively enhanced spatial narrative execution by refining both on-site and in-game architectural scenarios. Post-optimization visitor feedback confirmed the validity of the proposed optimization strategies and principles, providing theoretical and practical references for innovative digital cultural tourism models and architectural design advancements. In the context of site-specific architectural conservation, this approach achieves two key objectives: the generalized interpretation of architectural cultural resources and their visual representation through gamified interactions. This paradigm not only enhances public engagement through enabling a multidimensional understanding of historical building cultures but also accelerates the protective reuse of heritage sites, allowing heritage value to be maximized through contemporary reinterpretation. The interdisciplinary methodology promotes sustainable development in the digital transformation of cultural tourism, fostering user-centered experiences and contributing to rural revitalization. Ultimately, this study highlights the potential use of digitally gamified architectural scenarios as transformative tools for heritage preservation, cultural dissemination, and rural community revitalization. Full article

Background/Objectives: Pathology is often perceived as a technical medical specialty that lacks direct contact with the patient. However, oncological histopathological diagnosis requires a high degree of moral and emotional responsibility. The objective of this study was to investigate how empathy is manifested toward the “invisible” patient, the emotional impact on pathology staff, and potential repercussions in their personal lives. Method: We conducted a descriptive, cross-sectional study with a quantitative component, using an anonymous 22-item questionnaire among Romanian pathologists and medical personnel working in pathology services. The questionnaire was focused on three research directions: professional empathy in the absence of direct patient contact, the emotional impact of oncologic diagnosis on medical personnel in pathology departments, and the carryover of emotions from professional to personal life. A total of 165 respondents were included in the study (physicians, technicians, registrars). Results: Most of the respondents consider that the absence of the patient’s direct contact does not cancel the empathy, this being felt in a cognitive and more natural way. Over 60% of the respondents see oncologic histopathological diagnosis as an emphatic medical act. Over 80% of the respondents experience a sense of emotional responsibility and 70% consider that professional training does not include adequate emotional support. There is a high interest in empathy and psychological support. The professional activity of a pathologist may influence sleep, dreams, and the perception on their own health status. Diagnosing pediatric or young patients is perceived as particularly emotionally challenging. Collegial support is moderate and discussion about professional stress is rare. Conclusions: Empathy is present and relevant in pathology, despite the absence of direct patient interaction. Oncological diagnostics has a significant emotional impact on pathology department personnel, with the need to acknowledge the emotional dimension of the profession and to integrate psychological support mechanisms into pathology practice. Full article

Background: Adolescent girls and young women (AGYW) who engage in alcohol and substance abuse face more significant health and social consequences compared to the general population. This study evaluated the prevalence and associated factors of alcohol abuse and substance use among AGYW in Namibia. Methods: We conducted a retrospective analysis of programmatic data from AGYW aged 10–24 who participated in the Determined, Resilient, Empowered AIDS-free, Mentored, and Safe (DREAMS) component of the Reducing HIV Vulnerability: Integrated Child and Youth Health (REACH) Project HOPE Namibia from March to December 2024. Data analysis was conducted employing chi-squared tests alongside binomial and multinomial logistic regression. Results: Among the 19,662 participants included in this analysis, 2068 (10.5%) abused alcohol and/or substances in the previous six months. Participants who were HIV-negative or did not know their status (AOR = 1.57, 95% CI (1.15–2.14), and AOR = 1.50, 95% CI (109–2.07), respectively), from outside Windhoek, those who had failed or repeated school in the previous year (COR = 1.77, 95% CI (1.54–2.05)), those not disabled (AOR = 1.27, 95% CI (1.06–1.52)), those who had dropped out of school or had completed their studies, and those with no adult emotional support (AOR = 1.25, 95% CI (1.11–1.40)), were more likely to have abused alcohol and/or substances recently. In contrast, participants who were not depressed were less likely to have recently abused alcohol and substances. Conclusions: The prioritization of strategies to identify AGYW experiencing depression and to provide them with treatment is essential. Moreover, it is important to encourage parents and guardians to provide emotional support to AGYW, as it prevents them from abusing alcohol and substances. Full article

Worsening adolescent mental health is a significant social issue. Although dreams may reflect one’s mental state, few studies have focused on adolescents. Therefore, this study investigated the relationship between dream content and mental health, specifically anxiety disorder and depressive symptoms, among Japanese adolescents. This cross-sectional study obtained data on gender, grade, age, lifestyle habits, weekday sleep duration, anxiety disorder symptoms, depressive symptoms, and dreams from Japanese high school students. The data were analyzed via multiple logistic regression analyses. The prevalence of anxiety and depressive symptoms increased with the frequency of “rumination at bedtime”, “memory of dreams”, “emotional carryover”, and “awakening by frightening”, “unpleasant”, “film-like”, “fantastical”, and “recurring” dreams. However, this was not the case for “pleasant dreams”. Furthermore, “rumination at bedtime” (anxiety disorder symptoms: adjusted odds ratio: 10.60; 95% confidence interval: 5.92–18.97; depressive symptoms: 8.79, 5.58–13.87) and “unpleasant dreams” (anxiety disorder symptoms: 5.25, 2.86–9.64; depressive symptoms: 10.13, 5.57–18.44) exhibited particularly high odds ratios. “Rumination at bedtime” and “unpleasant dreams” may serve as early indicators of declining mental health. School- and parent-led interventions aimed at improving mental well-being may help prevent the progression or exacerbation of anxiety and depressive symptoms among adolescents. Full article