Search Results (387)

Regional carbon balance emerges from the complex interplay between land-use dynamics, spatial economic activities, and ecological processes as a socio-ecological system cannot be captured by any single analytical lens. This study develops an integrated assessment workflow that links three components: (i) coefficient-based carbon emission and sequestration accounting by land-use type; (ii) intra-provincial spatial-interaction analysis operationalized through two complementary tools—the Ecological Support Coefficient (ESC) and Economic Contribution Coefficient (ECC), which characterize the local economy–ecology relationship within each city, and a gravity-based emission-linkage model that uses GDP, population, emissions, and inter-city distance to characterize the network structure of inter-city emission attraction; and (iii) the intPLUS model, which combines random-forest-derived transition probabilities with patch-generation rules to simulate multi-scenario land-use trajectories. The framework is applied to Jiangsu Province, China, across 13 prefecture-level cities, using 1995–2020 historical data and three 2030 scenarios. Model performance is validated against observed 2020 land use, with an overall Kappa coefficient of 0.82. The results reveal a stable “high-south–low-north” gradient in emissions, a contrasting “high-ECC/low-ESC” versus “low-ECC/high-ESC” combining pattern across southern and northern Jiangsu, and a hierarchical core–periphery emission-linkage network anchored on the southern metropolitan cluster. Scenario projections for 2030 show clear divergence in provincial carbon budgets, with emissions of $\mathrm{12,326.59}\times {10}^4$ t, $\mathrm{11,745.26}\times {10}^4$ t, and $\mathrm{13,243.42}\times {10}^4$ t under natural development, ecological protection, and economic development, respectively, and corresponding sequestration of $-87.10\times {10}^4$ t, $-100.29\times {10}^4$ t, and $-85.61\times {10}^4$ t. Rather than treating carbon accounting and land-use simulation in isolation, this workflow bridges the analytical gap between physical land-use transitions and socioeconomic spatial emission spillovers, translating structural interactions into actionable spatial planning strategies. Relying on widely available data, the framework demonstrates strong methodological transferability for comparable subnational systems, provided that local parameters and sink coefficients are properly recalibrated. Full article

This paper reflects on what dance reveals about the notion of “human-ness” at a time when globalization could be understood as defining humanity in terms of bound, isolated bodies that generate capital, are fixed by borders, and recognized through surveillance. Rather than treating humans as a bounded interior essence of a bodied-self, I suggest it emerges at the edge, where sense of self meets otherness. I suggest dance offers conversation at the periphery of self, where perceived othernesses are met (floor, music, another dancer). In dancing, the self becomes most discernible at points of encounter with texture, rhythm, and trajectory. Human-ness, then, is not form/possession but relational. Drawing on Sylvia Wynter’s critique of the colonial figure of “Man,” within the notion of ‘human’, and Timothy Morton’s concepts of hyperobjects and ecological entanglement, which challenge bounded scales of human perception, I position dance as a practice that unsettles narrow categories of the human. I discuss dance as a method to unearth epistemologies of the edge, articulating humanness as intra-active and ecological, constituted through relation rather than containment. In this framing, the edge of globalization reveals an urgent fragility and the hopeful possibility of other genres of being human: relational, porous, and responding to ecological and historical entanglements. I suggest that dance as a method of moving together discloses an opportunity to reevaluate humanness and consider a definition of ‘to be human’ that is an action and an ever-emerging practice of being in relation. Full article

Background: The alarming increase in the number of new bacterial defense mechanisms is exacerbating the problem of antibiotic resistance and poses a serious obstacle to the treatment of bacterial infections. Despite the approval of numerous new antibiotics by the Food and Drug Administration (FDA) and European Medicines Agency (EMA), mainly from the beta-lactam group since 2000, only some of them possess unique mechanisms of action and activity against multidrug-resistant Gram-negative bacilli (MDR GNB), including carbapenem resistance. Eravacycline (EVT), formerly known as TP-434, is a newly developed non-beta-lactam, fully synthetic tetracycline derivative, approved for the treatment of complicated intra-abdominal infections (cIAIs) in adults. Results: The analysis demonstrated significant efficacy of EVT across a wide range of in vitro and in vivo studies against MDR GNB, including carbapenem-resistant Acinetobacter baumannii (CRAB) and carbapenem-resistant Enterobacterales (CRE) and Gram-positive vancomycine-resistant pathogens. Conclusions: The broad spectrum of activity and favorable safety profile of EVT are well-documented in the treatment of critically ill patients. However, its efficacy against clinically relevant Gram-negative bacteria varies depending on specific species and resistance phenotypes, particularly among carbapenem-resistant and extensively drug-resistant (XDR) isolates. Full article

An innovative strategy for collagen self-assembly with accelerated intra and extrafibrillar mineralisation is introduced to generate bone scaffolds with biomimetic properties. This method, termed Rapid Fibrillogenic Mineralisation (RFM), leverages coprecipitation with 10× Simulated Body Fluid (10× SBF) during fibril formation to maximise nucleation, particularly within intrafibrillar zones at molecular termini. Densification is achieved within minutes via plastic compression driven by capillary action, producing bone-like scaffold density without compromising the collagen matrix. Transmission electron microscopy confirms intrafibrillar hydroxyapatite crystals within 15 min, while X-ray diffraction demonstrates distinct HA peaks across groups. Scanning electron microscopy verified extrafibrillar mineralisation after 4 h, with saturation by 6 h, yielding ‘nanoflower’ crystal clusters. Infrared spectra showed increased carbonate content over time, indicating lattice substitutions characteristic of natural bone. Enhanced mineralisation translated into significant mechanical gains as Dynamic Mechanical Analysis revealed compressive moduli approaching cancellous bone (up to 283 ± 31 MPa). In addition, a decrease in the piezoelectric coefficient occurs with increased mineralisation process, highlighting the effects of mineral inclusions on collagen fibre composition and anisotropy. Biologically, mineralised scaffolds supported cellular growth compared to collagen controls. RFM thus enables rapid, reproducible fabrication of biomimetic bone scaffolds that closely emulate native mineralisation patterns and mechanical behaviour. Beyond offering a practical route for scaffold production in tissue engineering, the process also provides new insights into bone physiology and in vitro modelling. By reshaping collagen into a synthetic echo of nature’s bone, RFM establishes a rapid approach for designing functional biomaterials with translational potential. Full article

Category-level generalization for robotic garment manipulation, such as bimanual smoothing, remains a significant hurdle due to high dimensionality, complex dynamics, and intra-category variations. Current approaches often struggle, either overfitting with concurrently learned visual features for a specific instance or, despite Category-level perceptual generalization, failing to predict the value of synergistic bimanual actions. We propose the Feature-Conditioned Bimanual Value Network (FCBV-Net), operating on 3D point clouds to specifically enhance intra-category policy generalization—generalizing across unseen variations within a single topological class, as distinct from cross-category transfer—for garment smoothing. FCBV-Net conditions bimanual action value prediction on pre-trained, frozen dense geometric features, ensuring robustness to intra-category garment variations. Trainable downstream components then learn a task-specific policy using these static features. In simulated PyFlex environments using the CLOTH3D dataset, FCBV-Net demonstrated superior intra-category generalization. It exhibited only an 11.5% efficiency drop (Steps80) on unseen garments compared to 96.2% for a 2D image-based baseline, and achieved 89% final coverage, outperforming an 83% coverage from a 3D correspondence-based baseline that uses identical per-point geometric features but a fixed primitive. These results highlight that the decoupling of geometric understanding from bimanual action value learning enables better intra-category generalization. Full article

Focused ultrasound (FUS)-mediated therapies have evolved with the advent of modern ultrasound-guided technology and MRI imaging, moving from their initial use as thermal ablation to a multifunctional platform for thermal and non-thermal ablation, immunomodulation, and targeted drug delivery. This narrative review explores the potential, limitations, and challenges of ablative high-intensity focused ultrasound (HIFU) therapies: HIFU thermal ablation and non-thermal ablation, histotripsy, as well as non-ablative low-intensity focused ultrasound (LIFU) applications in the management of hepatobiliary cancers. HIFU and histotripsy are reviewed as alternative or complementary treatment options in liver tumors, as well as their potential as bridging therapy. Histotripsy is addressed as a theranostic tool, not only by combining ablation with real-time ultrasound imaging guidance, but also by integrating it with sonobiopsy. It facilitates a liquid sonobiopsy of the ablated tumor by releasing intact tumor antigens and damage-associated molecular patterns, leading to potential molecular profiling. LIFU-induced targeted drug delivery (sono-chemotherapy), sonodynamic therapy, radiosensitization, immunomodulation of the immunosuppressive tumor microenvironment (sono-immunotherapy), and the potential to enhance the effect of immune checkpoint inhibitors in these malignancies are discussed. Since FUS-assisted procedures exhibit dual actions through therapeutic functionality associated with intra- and post-procedural ultrasound imaging guidance, they could have value as a theranostic tool in hepatobiliary interventional oncology. Although promising, the available clinical evidence for FUS-mediated therapies in hepatobiliary malignancies consists predominantly of early-stage feasibility studies, retrospective observational cohorts, and non-randomized comparative analyses. Further studies focused on standardized protocols, validation through large-scale, multicenter, prospective randomized clinical trials comparing FUS-based therapies with established treatments, and long-term follow-up of oncological efficacy could define their future role in multimodal oncological strategies. Full article

Cu–TiO₂ nanoparticles of a broad range of compositions with 0, 0.002, 0.005, 0.02, 0.05, 0.2, 0.5, 1.0, 2.0, 3.0, 5.0, 7.0 and 10.0 mol% Cu were synthesized via the sol–gel method using copper (II) acetate and titanium tetraisopropoxide (TTIP) precursors at a low hydrolysis ratio of H = 1.25, which favours homogeneous TiO₂ nucleation and Cu dispersion in the host matrix at nanoscale. The precipitated materials were dried at 80 °C and calcined at 450, 500, and 550 °C to form crystalline nanopowders, whose photocatalytic activity was evaluated on the decomposition of a representative pollutant, methylene blue (MB), in aqueous solutions under UVA and sunlight illuminations. The compositions with small Cu content of ~0.05 mol% showed the highest activity. A gain of activity over pure titania of 4 times after calcination at 450 °C, 2.5 times at 500 °C and 20% at 550 °C was measured under UVA illumination. Even higher gain of activity observed under sunlight illumination might be due to an extension of action spectrum to the visible range due to intra-gap defect states produced by Cu²⁺ insertion. The time-resolved microwave conductivity (TRMC) measurements of the photoinduced charges relaxation suggest that both excessive calcination temperature and Cu content decrease the activity due to Cu-defects clustering. Modelling relates the activity to the photoinduced electron-hole pair separation; the optimal Cu content is explained by accessibility of the recombination centre by a conduction band (CB) electron. Accordingly, an increase in calcination temperature resulted in a longer pathlength of CB electron. Full article

Obesity is a complex, heterogeneous, chronic, and progressive disease, which correlates with an augmented risk of developing several comorbidities, including painful conditions, such as osteoarthritis. In this review, authors present for the first time the term meta-neuroinflammation for describing how the chronic, low-grade systemic inflammation, that occurs in obesity, may trigger oxidative stress and neuroinflammatory processes. Both the peripheral and the central nervous system are involved in neuroinflammation, leading to central sensitization and pain chronification, which leads to the observed increased incidence in obese patients of chronic pain syndromes, particularly osteoarthritis, low back pain, fibromyalgia, headache, and diabetic peripheral neuropathy. Possible mechanisms by which obesity may cause meta-neuroinflammation include adiposopathy, gut microbiota dysbiosis, and compromised integrity of blood–brain barrier, which could explain obesity-related depressive and neurodegenerative disorders. Preclinical data suggest the meta-neuroinflammation as a potential target of treatment in obese patients with degenerative joint disease. Based on these observations, targeted therapeutic strategies may include systemic administration of ultramicronized palmitoylethanolamide (um-PEA), well known for its neuroprotective, anti-neuroinflammatory, and analgesic actions, and comicronized PEA–rutin and hydroxytyrosol to restore intestinal eubiosis, with beneficial effects on body weight and mental disorders. Finally, Adelmidrol, as a PEA congener, could be considered for mitigating intra-articular meta-neuroinflammation in knee osteoarthritis. Full article

Background/Objectives: Online adaptive radiotherapy (oART) generates plans at each fraction by exploiting AI-assisted optimization engines without explicit user control over modulation. This process challenges quality assurance since measurement-based Patient Specific Quality Assurance (PSQA) cannot be performed daily. This study aimed: (i) to characterize plan complexity in IOE-generated plans for prostate cancer using a reproducible set of PCMs, including the decomposition of inter-patient and intra-patient variability sources; (ii) to evaluate the association between PCMs and delivery accuracy within a cohort-informed SPC framework validated through leave-one-patient-out cross-validation; (iii) to investigate whether inter-fraction anatomical variations explain the observed plan complexity patterns, or whether complexity is predominantly an intrinsic signature of the AI-assisted optimizer. Methods: Twenty-one prostate cancer patients treated on a CBCT-based oART platform were retrospectively analyzed across three anatomical targets: prostatic bed (PrB), prostate (Pr), and prostate with seminal vesicles (PrSV). Six PCMs, namely MU/cGy, Modulation Complexity Score (MCS), Aperture Area Variability (AAV), Leaf Sequence Variability (LSV), Average Leaf Gap (ALG) and Plan Irregularity, were extracted. Additionally, five anatomical metrics (AMs) were computed from daily contours. Linear mixed-effects models (LMEMs) compared reference/online plans, decomposed variance via intraclass correlation coefficients (ICCs), and assessed PCM–gamma passing rate (GPR) associations. Leave-one-patient-out cross-validation (LOPO-CV) evaluated SPC threshold stability. The relationships between PCMs and AMs were investigated using LMEMs. Results: The AI-assisted optimization engine generated plans characterized by elevated monitor unit demand (average MU/cGy ≥ 6.8 ± 0.9) and narrow MLC apertures (ALG ≤ 17.7 mm ± 1.9 mm). No complexity differences emerged between offline and online-adapted plans, nor between anatomical targets. All PCMs showed significant associations with global GPR (p ≤ 0.027), though marginal R² remained low (≤0.122). Notably, GPR dispersion increased systematically at higher complexity values, indicating that highly modulated plans exhibit reduced delivery predictability. LOPO-CV demonstrated stable tolerance/action limits. Anatomical variations explained less than 35% of the total variance in PCMs. Conclusions: Plan complexity in oART reflects the optimization paradigm and patient-specific anatomy rather than daily adaptation. PCMs can serve as surveillance indicators flagging high-risk fractions to support SPC-based monitoring. Full article

Key challenges for the future Systems Engineering (SE) include practically converting concepts into actions that solve complex problems and implementing formalized Transdisciplinary Integration (TDI) approaches to achieve this. This paper starts with a literature review, which exposes specific gaps: Transdisciplinarity in SE as a mindset is not well established and Transdisciplinary Integration Processes (TDIP) are not formalized and rigorously applied. Challenges are collected with a focus on “Transdisciplinarity in SE” as a meta-discipline in supporting TDI meta-model development. To this end, a TDI conceptual capability model comprising ends, ways, and means that coalesce transdisciplinary knowledge, methods, and stakeholder perspectives, and a TDIP model applicable across wide-ranging problem spaces and dimensions are proposed. A Disciplinarity Index (DI) is introduced to analyze a spectrum from Intra- to Alter-Disciplinarity; determine proportionality of problem dimensions, factors, and bounding aspects; and define a solution approach. The models are validated by applying the DI to four socio-technical problem domains ranging in scope and scale. This study concludes that the diverse challenges are approachable using the proposed conceptual foundation and models, which are unique in establishing a mechanism to blend disciplines, meet the challenges, and achieve Transdisciplinarity in the SE community while forming relations in the broader systems and transdisciplinary communities. Full article

This article examines how LGBTQ+ allyship is made, felt, and negotiated within a secondary school workshop using creative, participatory methods. Drawing on affect theory (see Sara Ahmed) and feminist new materialist scholarship (see Barad, Renold, among others), the paper analyses a collaborative collage activity centered on Pride flags and symbolic materials. Rather than treating allyship as a fixed identity or a knowledge-based achievement, the study explores how it emerges relationally through encounters with materials, symbols, bodies, and digital technologies. Through close analysis of moments of uncertainty, affective attachment, cutting and shattering of symbols, and the collective naming of the final artwork, the article traces how not-knowing, pleasure, confusion, and togetherness function as generative forces for allyship. The workshop is framed as a propositional research-creation space in which phones, Google searches, bunting, scissors, and book references intra-act with young peoples’ lived experiences, redistributing epistemic authority and unsettling school-based expectations of correct knowledge. The findings contribute to existing research on LGBTQ+ inclusion and allyship in schools by shifting focus from identity labels and institutional frameworks toward the affective, material, and speculative processes through which allyship is assembled in the moment. In doing so, the paper offers an alternative conceptualisation of allyship as relational practice rather than static position, with implications for creative pedagogy and inclusive educational research. Full article

Cutaneous T-cell lymphoma (CTCL), primarily mycosis fungoides (MF) and Sézary syndrome (SS), has long been characterized as a neoplasm of mature memory T cells, based on monoclonal T-cell receptor (TCR) rearrangements and tissue-resident memory (TRM)/central memory (TCM) T-cell phenotypes. This review synthesizes converging population-genetic, multi-omic, and single-cell evidence to argue that this characterization is incomplete and that a progenitor-based model better accounts for the full spectrum of disease biology. We present evidence that initiating mutations arise in hematopoietic stem or early lymphoid progenitor survive thymic selection, and diversify after TCR assembly, resulting in branched evolution across both blood and skin. In SS, paired analyses reveal > 200 shared variants between CD34⁺ progenitors and Sézary cells, as well as signal-joint T-cell receptor excision circle (sjTREC) positivity, providing direct progenitor-level evidence. In MF, convergent signals, multiple malignant clonotypes per lesion, greater blood–skin than skin–skin clonotype overlap, and compartment-specific CNV subclones, implicate hematogenous seeding and reseeding. Population-scale lymphoid clonal hematopoiesis and lymphoid-pattern mosaic chromosomal alterations define a compatible antecedent state. Spatial single-cell atlases and trajectory analyses map site-conditioned programs in skin, including Th2-skewed cytokines, microbial responses, and UV signatures, that select and expand subclones and explain inter- and intra-patient heterogeneity. This framework reconciles mature immunophenotypes with upstream initiation and clarifies why compartment-focused therapies often reshape rather than eradicate disease. It yields testable predictions and actionable implications: trials should pair multicompartment cytoreduction with strategies that attenuate progenitor-derived reservoirs, restore immune balance, and repair skin barrier dysfunction. A progenitor-initiated, niche-adapted model provides a coherent scaffold for more durable control in CTCL. Full article

The scope of actual pro-environmental initiatives, programs, interventions, and campaigns is limited. Therefore, spillover effects from these activities to other domains of economy, the private sphere, and society are crucial to achieve a transformation of society towards sustainability. Starting from the known literature and using Google Scholar as a platform for searching additional studies, this explorative, traditional narrative review analyses behavioural spillover effects, where either one behaviour influences the likelihood of another behaviour, or an intervention shows an impact on an environmentally significant behaviour, which it did not primarily address. In the scientific literature, spillover is classified by direction (environmentally positive versus negative), involved behaviours (similar or cross-behavioural), timing (short or long term), context (e.g., work to private life), and social scope (personal, interpersonal, intra- and inter-organisational, intergroup, or international). Positive spillover can result from cognitive dissonance reduction, consistent self-perception, pro-environmental values, norms, self-identity, action-based learning, and habit formation. Negative spillover emerges through rebound effects, moral licensing, and psychological reactance. Stronger spillover is observed between similar behaviours, while cross-domain spillover is generally weaker. According to previous research, a facilitated participatory approach with strong pro-environmental orientation appears recommendable for practitioners to foster the value change required for effective and sustained positive spillover. Full article

Temporomandibular joint osteoarthritis (TMJOA) is a degenerative maxillofacial disorder marked by progressive cartilage degradation and subchondral bone resorption, severely compromising patients’ quality of life. Intra-articular injection (IA), a standard route for conservative therapy, offers clinical advantages in safety and efficacy; however, outcomes remain limited due to short drug retention, poor tissue penetration, and variable agent efficacy, necessitating repeated administration. To overcome these limitations, fisetin-loaded poly (lactic-co-glycolic acid) nanoparticles (FST-PNP) were developed as a localized drug delivery system (DDS) for TMJOA treatment. Physicochemical analyses showed FST-PNP had uniform spherical morphology, excellent dispersibility, stability, high encapsulation efficiency, and substantial drug loading capacity. An in vitro study demonstrated more sustained and stable release from FST-PNP than free fisetin. The in vivo IA administration of FST-PNP preserved mandibular condylar osteochondral structures in TMJOA models. Notably, FST-PNP suppressed the expression of metalloproteinase-13 and a disintegrin and metalloproteinase with thrombospondin motifs-5 (ADAMTS5) as catabolic enzymes and downregulated p16 and p21 as senescence markers, indicating synergistic anti-inflammatory and anti-senescent effects. These findings highlight FST-PNP as a DDS integrating controlled-release with multifaceted therapeutic actions, providing a promising strategy for IA therapy of TMJOA. Full article

Background/Objective: To describe a novel dual-action pump (DAP) which is hypothesised to reduce mean intrarenal pressure (IRP) and increase irrigation flow during flexible ureterorenoscopy (fURS). The DAP incorporates a low-volume, user-controlled pumping/suctioning unit, to precisely control fluid boluses into the upper urinary tract via a ureterorenoscope and simultaneously draws out an identical volume of the delivered irrigant via a syphoning UAS. This human cadaveric study aims to assess the DAP’s impact on IRP and the irrigant flow rate compared to a traditional UAS. Methods: Twelve fresh frozen human cadaver renal units were studied in situ. An 11/13 UAS was placed under fluoroscopic guidance and a fURS was introduced. Continuous pressure was monitored. The DAP and syphoning UAS were compared to a conventional irrigation system in terms of IRP and irrigant flow at variable irrigant fluid heights and during fluid bolus administration. Results: The mean IRP was reduced by 79–141%. Maximum IRP was reduced by up to 180%. The mean irrigation flow rate was improved by 44–86%. The small sample size of 12 limits the results obtained. Conclusions: The novel DAP system shows promise in reducing intra-renal pressure and improving irrigant flow in flexible ureteroscopy. Full article