Search Results (174)

Odontophobia, defined as the intense and persistent fear of dentists or dental care, is a widely underestimated, yet clinically significant, barrier to oral health. It affects individuals across all age groups, from children to the elderly, and is particularly prevalent among those with intellectual or developmental disabilities. Odontophobia is a multifactorial condition influenced by psychological, sensory, cognitive, and sociocultural factors. Left unaddressed, it contributes to poor oral health outcomes, avoidant behavior, and broader health disparities. This perspective paper explores the clinical manifestations and principles of management of odontophobia across populations and different age groups, highlighting the limitations of pharmacological sedation, especially when used in isolation. Instead, evidence supports the use of cognitive behavioral strategies, desensitization protocols, sensory-adaptive environments, and communication-based approaches, such as the “tell-show-do” method. Innovative technologies, including virtual reality, offer additional promise. This paper also addresses critical gaps in the research, the paucity of tailored interventions for vulnerable groups, and both ethical and legal complexities surrounding consent, autonomy, and equitable access. Ultimately, managing odontophobia requires a shift toward “person-centered” and “trauma-informed” dental care, supported by interdisciplinary collaboration, inclusive infrastructure, and policy-level commitment to reduce fear-based disparities in oral health. Full article

Electric motors play a decisive role in electric vehicles by converting electrical energy into mechanical motion across various drivetrain components. However, failures in these motors can interrupt the motor function, with approximately 40% of these failures stemming from bearing issues. Key contributors to bearing degradation include shaft voltage, bearing current, and electric discharge material spalling current, especially in motors powered by inverters or variable frequency drives. This review explores the tribological and vibrational aspects of bearing currents, analyzing their mechanisms and influence on electric motor performance. It addresses the challenges faced by electric vehicles, such as high-speed operation, elevated temperatures, electrical conductivity, and energy efficiency. This study investigates the origins of bearing currents, damage linked to shaft voltage and electric discharge material spalling current, and the effects of lubricant properties on bearing functionality. Moreover, it covers various methods for measuring shaft voltage and bearing current, as well as strategies to alleviate the adverse impacts of bearing currents. This comprehensive analysis aims to shed light on the detrimental effects of bearing currents on the performance and lifespan of electric motors in electric vehicles, emphasizing the importance of tribological considerations for reliable operation and durability. The aim of this study is to address the engineering problem of bearing failure in inverter-fed EV motors by integrating electrical, tribological, and lubrication perspectives. The novelty lies in proposing a conceptual link between lubricant breakdown and damage morphology to guide mitigation strategies. The study tasks include literature review, analysis of bearing current mechanisms and diagnostics, and identification of technological trends. The findings provide insights into lubricant properties and diagnostic approaches that can support industrial solutions. Full article

Background: The aim of this review is to summarize and evaluate the properties of antibacterial polysaccharides for application in dental implantology to identify knowledge gaps and provide new research ideas. Methods: The electronic databases PubMed, Medline, ProQuest, and Google Scholar were used to search for peer-reviewed scientific publications published between 2018 and 2025 that provide insights to answer research questions on the role of antibacterial polysaccharides in combating pathogens in dental implantology without triggering immune reactions and inflammation. Further research questions relate to the efficacy against various dental pathogens and the understanding of the antibacterial mechanism, which may enable the development of functionalized polysaccharides with long-term antibacterial activity. Results: Biomedical implants have revolutionized medicine but also increased the risk of infections. Implant infections are a major problem in implantology and lead to implant failure and replacement. An antibacterial coating could be an excellent strategy to extend the lifespan of implants and improve the quality of the patient’s life. Bacterial resistance to antibiotics poses significant challenges for researchers, forcing them to search for new ways to prevent bacterial infections in implantology. Antibacterial natural polymers have recently received considerable research attention due to their long-term antibacterial activity. Polysaccharides from marine sources, such as chitosan and alginate, or pectin, xanthan, etc., from various plants, appear to be promising biopolymers for such applications in implantology due to their antibacterial activity, biocompatibility, and osteogenic properties. The antibacterial activity of these natural biopolymers depends on their chemical and physical properties. Nanopolysaccharides exhibit higher antibacterial activity than conventional polysaccharides, but their toxicity to human cells must be considered. Their antibacterial activity is based on the disruption of bacterial DNA or RNA synthesis, increased cell wall permeability, membrane disruption, and cytoplasmic leakage. Conclusions: Polysaccharides are a class of natural polymers with a broad spectrum of biological activities. They exhibit antioxidant, immunomodulatory, anticoagulant, anticancer, anti-inflammatory, antibacterial, and antiviral activity. Furthermore, polysaccharides are non-cytotoxic and exhibit good biocompatibility with osteogenic cells. Bactericidal polysaccharides are attractive new antibacterial materials against implant infections and open up new perspectives in implantology. Full article

Aged-care services are in crisis through a combination of rising demand and increasing costs. Quality of care is often reported to be insufficient. Medical science has increased lifespans but the overmedicalisation of aged care may affect the financial sustainability and quality of care. Person-centred care was developed as a solution and is generally interpreted as being concerned with consumer choice. This study presents a human rights-based approach to a code of conduct for aged-care consumers and workers to ensure autonomy and participation in aged-care communities, which are fundamental to person-centred care. A test–retest cohort study was used to investigate the impact of a training module about a human rights-based code of conduct on the perspectives of new aged-care workers (n = 11) on a case scenario involving conflicting care priorities. Qualitative content analysis was used to categorise and count the participants’ responses. The analysis found that prior to training the majority of participants were focused on a medical and risk reduction model of care. After the training participants had a more expansive understanding of care needs and recognised the importance of client empowerment to enable clients to participate in decisions affecting their care. The results support the implementation of a human rights-based approach to worker training and client care; such an approach is consistent with person-centred care. Full article

As an efficient and low-carbon renewable energy source, hydrogen plays a strategic role in the global energy transition, particularly in the transportation sector. However, the flammable and explosive nature of hydrogen makes leakage risks in enclosed environments a core challenge for the safe promotion of hydrogen fuel cell vehicles. Catalytic combustion sensors are ideal choices due to their high sensitivity and long lifespan. Nevertheless, they face technical bottlenecks under vehicle operational conditions, such as high-power consumption caused by elevated working temperatures, slow response rates, weak anti-interference capabilities, and catalyst poisoning. This paper systematically reviews the research status of catalytic combustion hydrogen sensors for vehicle applications, summarizes technical difficulties and development strategies from the perspectives of hydrogen-sensitive material design and integration processes, and provides theoretical references and technical guidance for the development of catalytic combustion hydrogen sensors suitable for vehicle use. Full article

Inclusion in play, physical education, outdoor life, organized sports, and other movement-based activities can promote resilience and support physical, emotional, and social well-being. These arenas are particularly important for reducing health disparities and preventing social marginalization across the lifespan. Yet, children and adolescents from vulnerable or disadvantaged backgrounds encounter persistent barriers to participation, rooted in broader inequalities related to their socioeconomic position, disability, gender, ethnicity, and access to supportive environments. This perspective outlines how inclusive movement contexts, when informed by developmental systems theory and resilience frameworks, can interrupt trajectories of marginalization and promote long-term equity in health, education, and work inclusion. We emphasize the need for interdisciplinary approaches, combining longitudinal and qualitative methods, to uncover how vulnerability and participation interact dynamically over time. By integrating insights from developmental science, education, public health, and spatial ecology, we identify strategic pathways for research and action. Addressing these challenges requires coordinated efforts across sectors and stakeholders to co-create inclusive, context-sensitive interventions. Full article

Lithium–ion (Li–ion) batteries are fundamental for advancing intelligent and sustainable transportation, particularly in electric vehicles, due to their long lifespan, high energy density, and strong power efficiency. Ensuring the safety and reliability of EV batteries remains a critical challenge, as undetected faults can lead to hazardous failures or gradual performance degradation. While numerous studies have addressed battery fault detection, most existing reviews adopt isolated perspectives, often overlooking interdisciplinary and intelligent approaches. This paper presents a comprehensive review of advanced battery fault detection using modern machine learning, deep learning, and hybrid methods. It also discusses the pressing challenges in the field, including limited fault data, real-time processing constraints, model adaptability across battery types, and the need for explainable AI. Furthermore, emerging AI approaches such as transformers, graph neural networks, physics-informed models, edge computing, and large language models present new opportunities for intelligent and scalable battery fault detection. Looking ahead, these frameworks, combined with AI-driven strategies, can enhance diagnostic precision, extend battery life, and strengthen safety while enabling proactive fault prevention and building trust in EV systems. Full article

This perspective explores the use of biochar, a carbon-rich material derived from biomass, as a sustainable solution for mitigating volatile organic compounds (VOCs) emitted during asphalt production and use. VOCs from asphalt contribute to ozone formation and harmful secondary organic aerosols (SOAs), which negatively impact air quality and public health. Biochar, with its high surface area and capacity to adsorb VOCs, provides an effective means of addressing these challenges. By tailoring biochar’s surface chemistry, it can efficiently capture VOCs, while also offering long-term carbon sequestration benefits. Additionally, biochar enhances the durability of asphalt, extending road lifespan and reducing maintenance needs, making it a promising material for sustainable infrastructure. Despite these promising benefits, several challenges remain. Variations in biochar properties, driven by differences in feedstock and production methods, can affect its performance in asphalt. Moreover, the integration of biochar into existing plant operations requires the further development of methods to streamline the process and ensure consistency in biochar’s quality and cost-effectiveness. Standardizing production methods and addressing logistical hurdles will be crucial for biochar’s widespread adoption. Research into improving its long-term stability in asphalt is also needed to ensure sustained efficacy over time. Overcoming these challenges will be essential for fully realizing biochar’s potential in sustainable infrastructure development Full article

The COVID-19 pandemic sparked changes globally, as leaders scrambled to protect wellbeing and safety. With many U.S. students sent away from their campuses, undergraduate students still grappled with the time-old question: “what will I do after college,” except during an unprecedented time in history rife with heightened career uncertainty. This qualitative study presents the results of a survey administered as part of a mind–body health project conducted in the wake of the pandemic, speaking directly to undergraduate college students’ health-related career aspirations. Two open-ended survey questions—(1) what is your intended career, and (2) how (if at all) has the COVID-19 pandemic changed your perspective about your future career—were administered with thematic analysis conducted. Qualitative analysis using hybrid data and theory-driven approaches revealed several themes around an increased desire to work within health-related fields, decreased desire to work in healthcare, non-medical to medical career shift, and additional undecidedness. Connecting theory to practice, Super’s Life-Space, Life-Span Career Theory and Krumboltz’s Social Learning Theory of Career Decision-Making guide practical implications and grander discussion around career development during periods of crisis. Full article

To address energy management challenges for intelligent connected automated range-extended electric vehicles under vehicle-road cooperative environments, a hierarchical energy management strategy (EMS) based on speed prediction is proposed from the perspective of multi-objective optimization (MOO), with comprehensive system performance being significantly enhanced. Focusing on connected car-following scenarios, acceleration sequence prediction is performed based on Kalman filtering and preceding vehicle acceleration. A dual-layer optimization strategy is subsequently developed: in the upper layer, optimal speed curves are planned based on road network topology and preceding vehicle trajectories, while in the lower layer, coordinated multi-power source allocation is achieved through EMS_MPC-P, a Bayesian-optimized model predictive EMS based on Pontryagin’ s minimum principle (PMP). A MOO model is ultimately formulated to enhance comprehensive system performance. Simulation and bench test results demonstrate that with SoC₀ = 0.4, 7.69% and 5.13% improvement in fuel economy is achieved by EMS_MPC-P compared to the charge depleting-charge sustaining (CD-CS) method and the charge depleting-blend (CD-Blend) method. Travel time reductions of 62.2% and 58.7% are observed versus CD-CS and CD-Blend. Battery lifespan degradation is mitigated by 16.18% and 5.89% relative to CD-CS and CD-Blend, demonstrating the method’s marked advantages in improving traffic efficiency, safety, battery life maintenance, and fuel economy. This study not only establishes a technical paradigm with theoretical depth and engineering applicability for EMS, but also quantitatively reveals intrinsic mechanisms underlying long-term prediction accuracy enhancement through data analysis, providing critical guidance for future vehicle–road–cloud collaborative system development. Full article

Effective asset management in the architecture, engineering, and construction/facilities management (AEC/FM) industry is crucial for improving asset performance and lifespan, as well as reducing downtimes and maintenance costs. Current asset management practices mostly rely on outdated paper-based approaches that are prone to data loss, security attacks, and missing information. Emerging technologies, such as digital twins, are being proposed to solve existing asset management problems in the AEC industry. However, the industry perspective is often missing in the evaluation of such technology-led approaches regarding actual applications and implementation challenges. This study seeks to understand the potential of digital twins in solving current asset management issues and challenges within the United Arab Emirates (UAE) context. To achieve this aim, structured interviews were conducted with 14 industry experts to capture their understanding of current digital technologies and existing issues in asset management. The findings of this study underscore the transformative potential of digital twins as a tool for optimizing asset performance and decision-making throughout the asset lifecycle. Full article

Mammary glands in cows are highly dynamic, making genomic stability particularly crucial. Continuous lactation and self-renewal of these glands are primary contributors to genomic instability. Results: We employed transcriptomic and proteomic methods to analyze the expressional characteristics in the mammary glands of cows with varying levels of milk production. Our findings indicated differences in relevant pathways, including DNA damage repair and apoptosis, which are influenced by increasing parity. Notably, ATR protein levels in the mammary glands of low-yield dairy cows were reduced. Following in vitro silencing of ATR, β-galactosidase content increased in aging mammary epithelial cells, with cell cycle arrest in the G2 and S phases. Secretory phenotypes associated with aging, including IL-6, IL-10, IL-1β, INF-γ, and IL-2, were elevated, along with increased TNF-α content. The expressions of DNA repair-related proteins, including PIG3, PARP1, and Cleaved caspase3, were upregulated, and SP1 expression was decreased. Furthermore, the expressions of cytochrome C and BAK increased, and ATR silencing inhibited mTOR and STAT5 lactation signaling pathways, resulting in elevated STAT3 protein levels associated with mammary gland degeneration. Conclusions: This study emphasizes the significance of the ATR protein in the mammary glands of dairy cows, contributing valuable insights into maintaining their health and presenting a novel perspective on strategies to enhance their lifespan. Full article

Introduction: Pain perception and management differ by sex, with women frequently experiencing more acute and chronic pain and greater disability than men. Yet, anesthesiology and pain control often overlook the physiological, hormonal, and psychological factors shaping women’s pain. Methods: This narrative review explores essential considerations from current literature to optimize pain management in women. We examine evidence about the impact of hormonal changes, reproductive transitions, and psychosocial factors on pain perception and responses to analgesics. By highlighting key insights and practical strategies, we aim to support the development of personalized pain management approaches tailored to women’s unique needs. Results: Hormonal changes, including variations in estrogen and progesterone levels, significantly influence pain thresholds and the effectiveness of analgesics and anesthetics. The menstrual cycle, menopausal transitions, and pregnancy each alter pain responses, necessitating personalized approaches to pain management. Postmenopausal women are particularly vulnerable to chronic pain conditions, such as those associated with osteoporosis, which require adjustments in long-term treatment strategies. Furthermore, psychosocial factors like anxiety and emotional distress can intensify pain, highlighting the need for holistic, integrative care. Conclusions: The existing gaps in women’s pain management across the lifespan highlight the need to revise both anesthesia and pain management protocols to better account for sex-specific biological and psychosocial factors. Addressing the unique biological and psychosocial factors that influence pain in women can enhance both the effectiveness and equity of care. By tailoring treatment strategies in women, clinicians can not only enhance pain management but also greatly improve their overall quality of life. Full article

Cyberbullying can be prevalent across different life stages, with lasting traces on mental health across the lifespan. This study aims to (a) explore how cyberbullying is emotionally experienced across three distinct age groups and (b) analyze the influence of cyberbullying on mental health across the lifespan. This study included 883 participants divided into three age groups: 18–39, 40–59, and 60+. In-depth semi-structured interviews were conducted to gather participants’ experiences and perspectives. The data were then subjected to content analysis, which revealed a number of themes. The first objective revealed the following themes: For ages 18–39: (a) feeling ashamed or humiliated (92.4%), (b) withdrawing from friends and family, and (c) experiencing harassment as positive and difficulties with rules. For ages 40–59: (a) losing interest in hobbies (89.5%), (b) questioning about things they did or did not do, and (c) experiencing a sense of missing out. For ages 60+: (a) negative thoughts and self-talk (91.3%), (b) feeling judged negatively, and (c) feeling financially vulnerable. The second objective showed: For 18–39: (a) depressive symptoms (79.7%), (b) easy anger, and (c) suicidal behavior. For 40–59: (a) anxiety (93.2%), (b) low self-esteem, and (c) the use of substances. For 60+: (a) frustration (78.1%), (b) isolation, and (c) disturbances in sleep and eating patterns. This study highlights the significant psychological and emotional impact of cyberbullying across age groups, emphasizing the need for targeted interventions that address the unique challenges faced by individuals at different life stages. The findings underscore the importance of developing age-specific strategies to mitigate the effects of cyberbullying and to have perpetrators take responsibility for their reckless disregard for others, and ultimately, themselves. Full article