Search Results (1,161)

Promoting the green development of large public buildings is a crucial pathway toward environmental sustainability. As a type of public building characterized by both high energy consumption and high public engagement, green stadiums provide an important setting for examining whether building-embedded green features are visible, understandable, and valued by users. In this sense, green stadium consumption intention is treated in this study as a building-related outcome that reflects user acceptance of green building spaces and services rather than as a generic green marketing preference alone. This study examines the effects of Green Facility Visibility, Perceived Green Communication, and Green Interactive Experience on Millennials’ Green Stadium Consumption Intention, while investigating the parallel mediating roles of Green Self-Efficacy and Future Orientation. A sample of 976 millennial users was surveyed. The hypothesized model was tested using covariance-based structural equation modeling (CB-SEM), and Bootstrapping was employed to validate the significance of the mediating effects. Findings reveal that: (1) Green Facility Visibility and Perceived Green Communication significantly and positively influence Green Stadium Consumption Intention, whereas the direct effect of Green Interactive Experience is insignificant; (2) Green Self-Efficacy mediates the relationships between Green Facility Visibility, Perceived Green Communication, and consumption intention; and (3) Future Orientation similarly mediates the relationships between Green Facility Visibility, Perceived Green Communication, and consumption intention. Rather than proposing a major theoretical breakthrough, this study offers a context-specific extension of green consumption research by introducing Green Self-Efficacy and Future Orientation as parallel mediators in a stadium setting. The findings show how building-related green cues and user cognition jointly shape the acceptance of green stadiums, thereby providing evidence relevant to the design, operation, and evaluation of public-facing green buildings. Full article

The polyamine metabolic pathway, an evolutionarily conserved nexus integrating nutrient sensing, translation control, and cellular proliferation, is fundamentally rewired in cancer. Melanoma, a malignancy of melanocytes notorious for its metastatic propensity and therapy resistance, exhibits a profound dependency on this pathway, extending beyond mere polyamine abundance to the specialized function of their derivative, hypusine. This review synthesizes cutting-edge insights into the deoxyhypusine synthase (DHPS)/eukaryotic initiation factor 5A (eIF5A) hypusination circuit as a critical amplifier of oncogenic signaling in melanoma. We dissect its role as a translational rheostat for pro-tumorigenic proteomes, a driver of phenotypic plasticity underpinning invasion and vasculogenic mimicry, and a modulator of the immunosuppressive tumor microenvironment. Moving beyond the classical inhibitor GC7, we explore the emergence of novel allosteric DHPS inhibitors with compelling preclinical efficacy. Finally, we propose a paradigm shift: targeting the DHPS/eIF5A axis represents a strategy to disrupt the “non-oncogene addiction” of melanoma—its reliance on hyperactive translation and adaptive survival mechanisms—offering a promising avenue alongside targeted therapies and immunotherapies. Full article

Medicine–food homology (MFH) substances, which possess both medicinal and edible properties, have garnered widespread attention in the global health context of the new era. The MFH industry has experienced explosive growth and has gradually become a key supporting aspect of TCM modernization. However, due to the pollution of the modern environment, the content of pollutants in MFH products has been increasing, raising concerns regarding quality, safety, and efficacy control. Traditional quality-analysis technologies struggle to meet the needs of rapid on-site detection because of their dependence on large instruments and the complexity of operation. This dilemma has propelled advances in sensor technology. With its advantages of high sensitivity, real-time detection, and portability, sensor technology has become a key technical support for quality control and supervision in the field of MFH. In this review, we comprehensively categorize the mainstream sensor types used for analysis in the field of MFH, including intelligent sensors, optics, electrochemistry, biosensors, etc. This review outlines their research status, elaborates on their primary application directions and corresponding core technologies, discusses current challenges (including stability, interference, and cost), and presents future perspectives. Overall, sensor-based technologies offer a promising and scalable solution for the quality control of MFH products, addressing critical challenges such as stability, interference, and cost. With ongoing advances in intelligent sensing, optics, electrochemistry, and biosensing platforms, these methods are poised to play an increasingly vital role in ensuring the safety, efficacy, and quality consistency of MFH products amid growing environmental pressures. Full article

The efficacy of traditional antimicrobial treatments has been largely compromised due to the high occurrence of multidrug-resistant (MDR) pathogens, therefore underlining the limitations of existing drug delivery mechanisms. Pathogens resist pharmacological treatment via different mechanisms, including efflux pump overexpression, biofilm formation, and enzymatic destruction. The application of nanorobotics or controllable nanoscale devices has gained considerable attention for overcoming shortcomings while connecting biomedical engineering, materials science, and microbiology. Despite advancements in nanomedicine, there is still no suitable nanorobotic system applicable against MDR pathogens. Previous studies highlighted device categories and materials but did not explain the detailed nanorobotic mobility, sensing, and programmability to counteract biological resistance. This review combines cross-disciplinary discoveries to design a mechanistic and translational model for nanorobotics effective in controlling infectious diseases while focusing on the advancements in nanorobotic technologies over the past six years (2020–2025), with emphasis on translational readiness, biosafety issues, scalability, regulation, and their mechanistic ability to overwhelm MDR complications. Databases from different publishers, including PubMed, Scopus, and Web of Science, were used to select studies focusing on the potential of emerging nanorobotic therapeutic technologies, such as magnetic microrobots, catalytic nanoswimmers, and DNA origami nanodevices, and their application to bacterial biofilms and antibiotic drug delivery. Evidence from the literature shows that magnetically driven microrobots, catalytic nanoswimmers, and DNA origami structures can actively destroy biofilms, enhance antibiotic penetration, and perform site-specific antimicrobial administration. Nevertheless, most of these innovations remain in the preclinical or prototype stage, hindered by biosafety issues, immunological reactivity, poor routing precision, energy source optimization, and a lack of regulatory and ethical frameworks, which are major challenges for clinical translation. Full article

As a crucial component of multimodal sensing in modern AI agents, remote sensing images have attracted significant attention, for which neural representation is a promising direction. Implicit Neural Representations (INRs) using Multi-Layer Perceptrons (MLPs) have the ability to model images by learning an implicit mapping from pixel coordinates to pixel intensities. This paper revisits the ReLU activation function, a widely adopted non-linearity known for its dead region on the negative axis, within the context of MLP-based INRs. We introduce the Dead-Free Linear Unit (DeLU), a novel activation function that leverages a linearly transformed absolute value to eliminate inactive regions. By combining dead-free non-linearity with adaptive linear scaling, DeLU enhances the expressiveness of INR architectures, particularly those employing periodic activations. Extensive experiments across multiple remote sensing datasets, including LandCover.ai, LoveDA, INRIA, UAVid, and ISPRS Potsdam, validate the efficacy of our proposed method. Full article

This study explores how school leadership styles are perceived to relate to teacher resilience during crises in Arab schools in Israel. Drawing on twenty semi-structured interviews with principals and vice-principals, findings show that transformational and participative leadership, characterized by emotional support, accessibility, active listening, and shared decision-making, are perceived to foster teachers’ sense of security, self-efficacy, and collective resilience. In contrast, authoritarian and rigid approaches are described as contributing to increased stress, reduced motivation, and diminished coping capacity. The study highlights the significance of socio-cultural and political contexts, indicating that effective leadership in crises involves not only professional guidance but also cultural awareness, flexibility, and responsiveness to staff needs. These findings underscore the value of integrative leadership approaches and targeted professional development to support teacher well-being and organizational resilience in crisis-prone settings. By focusing on leaders’ perspectives, the study contributes to understanding how culturally sensitive and adaptive leadership practices may support educational stability under conditions of uncertainty. Full article

Background/Objectives: The Parenting Sense of Competence (PSOC) scale is one of the most widely used instruments to assess perceived parental competence, understood as the degree to which parents feel capable of adequately fulfilling their parental role. Despite its widespread use, studies seeking to determine PSOC normative scores are scarce, especially in specific populations such as mothers with infants younger than 9 months, which limits the interpretation of its scores in applied contexts. This study establishes PSOC normative scores in a nonclinical sample of 522 Spanish mothers with infants aged between 3 and 37 weeks who attended a public early intervention program. Methods: Regression and ANOVA analyses were performed to examine the effect of infant and maternal age, as well as educational level and occupation, on the dimensions of Efficacy, Satisfaction, and Total score of the PSOC. Results: The results show a significant decline in parental competence starting when their infants reach 9 months of age, and lower levels of self-efficacy in mothers over 35 years of age. No significant differences were found according to the educational level or occupation of the mothers. Normative scores are presented by percentiles, offering specific criteria for this stage of child development. Z- and T-scores are included, useful for standardized comparisons between subscale and studies. Conclusions: These findings provide useful information for early detection and psychoeducational interventions within the framework of early intervention. Full article

Background: Diabetic foot ulcers recur frequently after healing. The first three months carry the highest risk. Remission is a vulnerable phase that demands precise self-care and timely feedback. Evidence supports thermometry and protective footwear with gradual return to activity, yet adherence at home is inconsistent. Objective: To describe the design and planned evaluation of a conversational agent (chatbot) that guides patients through the remission phase following diabetic limb reconstruction. Methods: This protocol describes a conversational agent (chatbot) that turns remission guidance into daily actions, grounded in clinical expertise and established care guidelines. Walking is dosed like a drug, with careful titration based on tissue response. The agent integrates automatic data capture (smartphone step counts, skin temperature, shoe step streams, smartwatch step streams, Bluetooth thermometry when available, and app session timestamps) with manual patient entries (shoe wear time, skin redness persistence, and symptom checks). It doses walking activity, guides footwear break-in, prompts photo-confirmed concerns, following clinician-informed rules and escalation pathways. We define data quality checks for missingness and physiologic plausibility, and the agent reinforces reducing weight-bearing activity when risk signals appear. We outline device drift. The study is designed as a single-arm feasibility pilot (n = 30) to assess engagement, safety, and implementation fidelity. Results: No clinical outcome results are reported because this is a protocol study and enrollment has not yet begun. This study presents the prespecified sensing-to-decision workflow, escalation logic, and pilot endpoints, along with internal technical verification procedures (e.g., message delivery reliability, data completeness checks, and rule-engine consistency testing). Conclusions: A remission chatbot is a plausible method to extend specialist support into the home, reflecting integration of clinical expertise with digital health tools. This protocol defines how feasibility, safety, and usability will be evaluated. Clinical efficacy should be confirmed in future studies. Full article

Losing a sibling to a drug-related death can lead not only to profound grief but also to unexpected psychological growth. This mixed-method study examined such growth among siblings bereaved by a drug-related death in Norway, combining survey data from 78 participants with interviews from ten siblings. Quantitative findings showed that appreciation of life and personal strengths were the most prominent domains of growth. Regression analysis indicated that self-efficacy explained most of the variance in growth when controlling for time since death, whereas social support did not make a unique contribution. Qualitative findings added depth by revealing how growth was experienced through closer family relationships and a heightened sense of empathy toward people in vulnerable situations. These accounts suggest that growth may involve a reorientation of values and deeper relational ties, aspects that standardized measures may not fully capture. Although based on a small and relatively homogeneous sample, the integrated results point to the importance of internal coping resources and family connectedness in fostering growth after a stigmatized loss. Further research should explore these mechanisms in more diverse populations and examine how they evolve over time. Full article

Gut dysbiosis, defined as a disruption in the structure or function of the intestinal microbiota, is increasingly recognized as a key contributor to inflammatory, metabolic, and neuropsychiatric diseases. Conventional interventions such as broad-spectrum antibiotics, generic probiotics, and fecal microbiota transplantation (FMT) often show limited and inconsistent efficacy because they lack specificity, durability, and robust safety controls. In contrast, recent advances in DNA-based technologies are reshaping the therapeutic landscape by enabling targeted, programmable, and mechanistically informed modulation of the gut ecosystem. This review presents an integrated overview of three major domains driving this shift: CRISPR-based systems that selectively delete, silence, or reprogram microbial genes; synthetic biology-driven live therapeutics engineered to sense disease-associated cues and execute controlled responses; and metagenomics-informed strategies that tailor interventions to patient-specific microbial gene profiles and functional deficits. Additionally, we examine the continued evolution of FMT toward DNA-optimized workflows and defined microbial consortia that offer safer, more standardized alternatives to crude donor material. Across these domains, we discuss delivery platforms (including bacteriophages, conjugative plasmids, extracellular vesicles, and synthetic nanoparticles), and compare their efficiency, specificity, and scalability. We further highlight how DNA-guided interventions interface with host immunity—shaping Treg/Th17 balance, mucosal barrier function, and inflammatory signaling—while also analyzing ecological and evolutionary risks, biocontainment strategies, and regulatory classification gaps that will govern clinical translation. Together, these developments signal a transition from empirical microbiome manipulation to rational ecosystem engineering. DNA-guided therapies hold strong promise for precise and personalized management of gut-related diseases, but their success will depend on rigorous ecological risk assessment, long-term monitoring, and adaptive regulatory frameworks alongside continued technological innovation. Full article

The All of Us Researcher Academy Internship Program provided a 3-month experiential learning opportunity for graduate and undergraduate students to train on analyzing health data from the All of Us Research Program. Thirteen interns were paired with mentors who have ongoing projects using the All of Us Researcher Workbench, a cloud-based data analysis platform. Interns also participated in networking activities, attended weekly internship supervisor and mentor meetings, and had access to virtual courses. The internship concluded with virtual presentations to share project results. Topics studied included sickle cell disease, cancer, diabetes, sleep disorders, allergic conditions, cardiovascular health, mental health, and healthcare access. The purpose of this evaluation study was to assess the All of Us Researcher Academy Internship Program’s impact on student outcomes during the first two cohorts (2023 and 2024). The study employed a post-only evaluation design. Ten interns completed post-internship surveys that inquired about their overall internship experience, Researcher Workbench use, and research skills development. The 2024 cohort also participated in a focus group discussion that probed their perceptions about the internship experience. Evaluation results revealed that 90% of interns strongly agreed that their overall research skills and self-efficacy improved, and 80% of interns reported interest in future use of the Researcher Workbench. Interns offered positive feedback on their mentorship experiences and reported a strong sense of support and belonging. The All of Us Researcher Academy Internship Program offers an effective model for skills-based experiential learning in biomedical research. Full article

Therapist shortages make home-based rehabilitation an essential component of post-stroke care, yet patients often exhibit reduced adherence when functional gains are difficult to quantify and interpret. This study presents a cloud-enabled assessment framework centered on a dynamic reaching task for upper-limb rehabilitation in individuals with mild stroke. The proposed system combines wearable sensing and Internet of Things (IoT) connectivity to stream kinematic data to the cloud for near real-time analysis, and integrates a force-feedback rehabilitation robot to deliver motion guidance during training. The pipeline proceeds in three stages. First, smoothness-related kinematic descriptors are extracted and fed into a deep multi-class classifier to discriminate the affected side (left, right, or healthy). Second, movement quality is modeled using a Gaussian Mixture Model (GMM) trained on IoT-acquired trajectories to quantify performance via probabilistic similarity. Third, a calibrated scoring function transforms GMM log-likelihood into a normalized 0–1 quality index, producing visual reports that support interpretable feedback for patients and therapists. The framework is validated using motion data collected from stroke patients at Taipei Veterans General Hospital. Experimental results demonstrate that the neural network multi-classifier achieved an F1-score of 0.95. Incorporating robot-derived interaction signals further improved classification performance by approximately 5%. For movement quality assessment, the derived scores showed a significant positive correlation (Pearson correlation = 0.632, p = 0.02) with therapist-defined gold reference standards for right-affected patients. Additionally, integrating robot force-feedback signals and AIoT-enabled dynamic streams improved score accuracy by 8% and score responsiveness by 10%. These quantitative outcomes substantiate the efficacy of combining IoT-driven sensing and robot-assisted training for objective, interpretable, and remotely deployable motor assessment. Full article

Adoptive T cell therapy (ACT) remains limited in solid tumors by poor T cell persistence within the metabolically hostile tumor microenvironment (TME). Although IL-9-producing CD8⁺ T cells (Tc9) consistently demonstrate superior antitumor efficacy compared with conventional Tc1 cells, the selective pressures that shape their functional advantage remain unclear. Here, we show that effective ACT-mediated tumor control is accompanied by a marked increase in intratumoral extracellular ATP (eATP), representing a common metabolic consequence of tumor cell destruction. Despite comparable ATP accumulation following Tc1 or Tc9 treatment, these subsets exhibit strikingly distinct responses to ATP stress. Tc1 cells are highly susceptible to ATP-induced apoptosis, whereas Tc9 cells display intrinsic resistance, resulting in superior in vivo persistence. Mechanistically, Tc9 cells actively convert ATP signaling into enhanced mitochondrial fitness, characterized by increased oxidative phosphorylation and spare respiratory capacity. ATP exposure further drives Tc9 cells toward a tissue-resident memory (TRM) phenotype through activation of the TGF-β signaling axis. Transcriptomic and molecular analyses reveal that purinergic signaling pathways, including elevated expression of the ATP receptor P2RX7, are intrinsically enriched in Tc9 cells and are further amplified upon ATP stimulation. Collectively, our findings identify extracellular ATP as a metabolic lineage selection signal in ACT, demonstrating that ATP stress preferentially stabilizes metabolically resilient Tc9 cells by linking purinergic sensing to mitochondrial remodeling and TRM programming, thereby providing a conceptual basis for enhancing the persistence and efficacy of engineered T cell therapies in solid tumors. Full article

Background: Port-a-catheter (PAC) placement is a common procedure in oncology that, despite local anaesthesia, can induce patient discomfort, procedural pain, and anxiety. Virtual reality hypnosis (VRH), combining immersive virtual reality with clinical hypnosis, has been proposed as a non-pharmacological adjunct to reduce peri-procedural distress. Objectives: This pilot study aimed to explore the suitability of VRH during PAC placement and its potential effects on pain, anxiety, and VRH-related experiences, while investigating psychological variables associated with VRH engagement. Methods: In this single-arm interventional monocentric prospective pilot study, twenty oncology patients undergoing first-time elective PAC placement received a VRH intervention delivered via a medical-grade head-mounted display throughout the procedure. Pain, anxiety, and VRH-related dimensions—including absorption, dissociation, automaticity, arousal, and sense of presence—were assessed pre- and post-procedure using self-reported numerical rating scales and questionnaires. Non-parametric Wilcoxon tests evaluated pre–post changes, and correlational analyses (Pearson’s and Spearman’s when necessary) explored associations between variables. Results: VRH was well tolerated by most participants, although three patients required additional pharmacological support, and four could not complete the session due to intolerance or technical issues. Anxiety scores decreased significantly following VRH, whereas pain showed a non-significant trend toward reduction. Post-procedural absorption and dissociation were positively associated with presence, and higher absorption traits were linked to greater immersive engagement and prior VR/hypnosis experience. Cybersickness was negatively associated with absorption. Older age was correlated with lower post-procedural pain, and females reported higher state anxiety. Conclusions: In this pilot, VRH was feasible, well tolerated, and associated with a significant exploratory reduction in procedural state anxiety. Given the single-arm design, these findings constitute directional evidence warranting controlled trial evaluation rather than proof of efficacy. These preliminary results support the rationale for randomised controlled trials to evaluate VRH efficacy, underlying mechanisms, and potential role as a non-pharmacological adjunct in oncology perioperative care. Full article

Antimicrobial resistance represents one of the most formidable global health crises of the 21st century, driven by the diminishing efficacy of conventional antibiotics due to bacterial adaptation and biofilm formation. In response, antimicrobial nanoformulations have emerged as a transformative therapeutic paradigm, offering multifaceted and innovative mechanisms to combat resistant pathogens. This comprehensive review delineates the broad scope and distinct novelty of nano-enabled antimicrobial strategies, moving beyond the single-target limitations of traditional drugs. We systematically explore the diverse architectural classes of nanoformulations—including metallic, polymeric, and self-assembling nanostructures—and elucidate their unique mechanistic actions. These encompass (1) physical disruption of microbial membranes via electrostatic interactions; (2) catalytic generation of reactive oxygen and nitrogen species to induce an ‘oxidative storm’; (3) intracellular sabotage of essential metabolic pathways; (4) the ‘Trojan horse’ strategy for enhanced drug delivery and bioavailability; (5) efflux pump bypass to counteract a major resistance mechanism; (6) penetration and eradication of resilient biofilms; and (7) disarming pathogens through quorum sensing and virulence inhibition. Furthermore, this review highlights the immunomodulatory potential of nanoformulations; their activity beyond bacteria against fungi, viruses, and parasites; and the critical role of the nano-bio interface defined by surface physicochemistry. We also address the translational pathway, considering challenges in nanotoxicology, scalability, and regulatory approval, alongside the ecological impact and economic horizon of these technologies. This sector is projected to reach USD 5.4 to 8.96 billion by 2033 to 2034, with compound annual growth rates of 11 to 21% across antimicrobial nanomaterials, nanocoatings, and nanomedicine applications. By integrating insights from computational modeling and in silico design, this review underscores how nanoformulations leverage synergistic, multi-target approaches to overcome resistance, enhance therapeutic efficacy, and represent a significant leap forward in the future of infectious disease management. The novelty lies in the holistic and mechanistic synthesis of how nanotechnology is redefining antimicrobial warfare, offering a promising arsenal to avert a post-antibiotic era. Full article