Search Results (20)

Background: Colorectal cancer (CRC) remains the third most prevalent malignancy globally, with approximately 154,000 new cases and 54,000 projected deaths anticipated for 2025. The recent advancement of foundation models in computational pathology has been largely propelled by task-agnostic methodologies that overlook organ-specific crucial morphological patterns that represent distinct biological processes that fundamentally influence tumor behavior, therapeutic response, and outcomes. Methods: In this study, we develop a novel, interpretable AI model, PRISM (Prognostic Representation of Integrated Spatial Morphology), that incorporates a continuous variability spectrum within each distinct morphology to reflect the principle that malignant transformation occurs through incremental evolutionary processes. PRISM is trained on 15 million histological images extracted from surgical resection specimens of 2957 patients. Results: PRISM achieved superior prognostic performance for five-year OS (AUC = 0.70 ± 0.04; accuracy = 68.37% ± 4.75%; HR = 3.21, 95% CI = 2.18–4.72; p < 0.0001 using multi-variate cox-proportional hazards model), outperforming existing CRC-specific methods by 15% and AI foundation models by ~23% accuracy. It showed sex-agnostic robustness (AUC Δ = 0.02; accuracy Δ = 0.15%) and stable performance across clinicopathological subgroups, with minimal accuracy fluctuation (Δ = 1.44%) between 5FU/LV and CPT-11/5FU/LV regimens, replicating the Alliance cohort finding of no survival difference between treatments. Conclusions: These results establish PRISM as a promising, interpretable tool for AI-driven prognostication, with potential for future extension to other cancer types and stages Full article

Planning an information technology (IT) standard system requires balancing multiple complex factors. These include industrial chain layout, technological iteration, practitioner application scenarios and cross-domain integration. Such planning demands high industrial adaptability, technical foresight and implementation operability, yet mature and systematic methods are currently lacking in this field. To address this issue, this paper proposes a Model-Based Systems Engineering (MBSE) approach for IT standard system planning by integrating complex system decomposition and integration principles. A multi-perspective (industry, practitioner, business, product, standard) and multi-view (industrial chain, practitioner, product, technical process, management process, standardization object, standard) modeling framework is constructed, and an MOF-based meta-model system for each view is designed to realize full-process visual modeling from industrial ecosystem analysis to standard system implementation. As a conceptual and methodological study, this approach makes up for the perspective limitations of traditional planning methods. Multi-view hierarchical and collaborative analysis ensures the standard system to be in line with industrial reality with foresight and operability, providing systematic methodological support for standard-setting organizations, industrial alliances and enterprises in the IT field, and expanding the application boundary of MBSE in standard system planning. Full article

University–employer alliances have expanded as a strategy to foster innovation, employability, and knowledge transfer; however, their growth often results in instrumental arrangements oriented toward short-term metrics (agreements, hours, deliverables) that weaken curricular transformation and Social Responsibility. This article proposes a governance architecture to design and audit sustainable Collaborative Education, understood as a technologically mediated multi-actor network organized by a shared principle of Social Responsibility. The method operates in two moves: (i) a conceptual ordering that uses the substance–accidents distinction and a formative telos to subordinate organizational and technological means to the educational purpose; and (ii) the translation of concepts into decision domains (who decides, with what evidence, under what risks, and with what safeguards), positioning Technological Mediation as governance infrastructure rather than a neutral support. The proposal delivers three managerial outputs: (a) a hierarchy of seven support entities (metaphysical question, Social Responsibility, projects and strategies, institutional management, institutional development, stakeholders, and benefits); (b) governance principles (primacy of purpose, multi-actor accountability, justifiable distribution of benefits and risks, and deliberative traceability); and (c) a compact matrix and checklist applicable through document auditing and platform design review, without requiring field data collection. Taken together, the framework shows how employer-side corporate governance can align incentives, rules of evidence, and data use to enable co-responsibility and avoid capture, strengthening the sustainability of collaboration over time across organizational contexts. Full article

This conceptual review article critically examines the systemic features and contradictions of generative artificial intelligence (GenAI) and the ‘opportunity/danger paradox’ in the development and deployment of large language models (LLMs). The paradox and its potential resolution are explored through a political–economy–ecology framework. Through new developments in neo-Gramscian analysis, the article conceptualizes GenAI as embedded within competing dominant and subordinate technological blocs within the context of Platform Capitalism 2.0, evolving as the latest phase of Computational Capitalism. In response, an alternative horizontally organized, multi-layered socialized system of GenAI is proposed to ultimately resolve the paradox. The article utilizes Lury’s concept of problem spaces and recomposed research problems to explore transitioning to this socialized system based on constructing multiple mediating layers of the alternative technological bloc, mediated by alliances of progressive technological organic intellectuals exercising a technological organic intellect. The conclusion addresses the challenges of passive revolution effects and transitioning compounded by the phenomenon of compressed technological time. Full article

The holobiont paradigm, conceptualizing host–microbiome assemblages as functionally integrated entities, has fundamentally altered interpretations of adaptive responses to environmental pressures spanning multiple organizational levels. This review synthesizes the current knowledge on microbiome-host coevolution, focusing on three key aspects. First, it examines the evolutionary origins of holobionts from primordial microbial consortia. Second, it considers the mechanistic basis of microbiome-mediated stress resilience in plants and animals. Finally, it explores the ecological implications of inter-holobiont interactions. We highlight how early microbial alliances (protomicrobiomes) laid the groundwork for eukaryotic complexity through metabolic cooperation, with modern holobionts retaining this plasticity to confront abiotic and biotic stressors. In plants, compartment-specific microbiomes (e.g., rhizosphere, phyllosphere) enhance drought tolerance or nutrient acquisition, while in animals, the gut microbiome modulates neuroendocrine and immune functions via multi-organ axes (gut–brain, gut–liver, etc.). Critically, we emphasize the role of microbial metabolites (e.g., short-chain fatty acids, VOCs) as universal signaling molecules that coordinate holobiont responses to environmental change. Emerging strategies, like microbiome engineering and probiotics, are discussed as tools to augment stress resilience in agriculture and medicine. By framing adaptation as a collective trait of the holobiont, this work bridges evolutionary biology, microbiology, and ecology to offer a unified perspective on stress biology. Full article

Vertical alliances within agricultural supply chains serve as critical institutional vehicles for deepening triple-sector integration (primary–secondary–tertiary) in rural economies, driving agricultural modernization, and advancing rural revitalization. However, sustaining alliance stability constitutes a complex dynamic process wherein inadequate stakeholder engagement and collaborative failures frequently precipitate alliance instability or even dissolution. Existing scholarship exhibits limited systematic examination of the micro-mechanisms and regulatory pathways through which multi-agent strategic interactions affect alliance stability from a dynamic evolutionary perspective. To address this gap, this research focuses on China’s core agricultural innovation vehicle—the Agricultural Industrialization Consortium—and examines the tripartite structure of “Leading Enterprise–Family Farm–Integrated Agricultural Service Providers.” We construct a tripartite evolutionary game model to systematically analyze (1) the influence mechanisms governing cooperative strategy selection, and (2) the regulatory effects of key parameters on consortium stability through strategic stability analysis and multi-scenario simulations. Our key findings are as follows: Four strategic equilibrium scenarios emerge under specific conditions, with synergistic parameter optimization constituting the fundamental driver of alliance stability. Specific mechanisms are as follows: (i) compensation mechanisms effectively mobilize leading enterprises under widespread defection, though excessive penalties erode reciprocity principles; (ii) strategic reductions in benefit sharing ratios coupled with moderate factor value-added coefficients are critical for reversing leading enterprises’ defection; (iii) dual adjustment of cost sharing and benefit sharing coefficients is necessary to resolve bilateral defection dilemmas; and (iv) synchronized optimization of compensation, cost sharing, benefit sharing, and value-added parameters represents the sole pathway to achieving stable (1,1,1) full-cooperation equilibrium. Critical barriers include threshold effects in benefit sharing ratios (defection triggers when shared benefits > cooperative benefits) and the inherent trade-off between penalty intensity and alliance resilience. Consequently, policy interventions must balance immediate constraints with long-term cooperative sustainability. This study extends the application of evolutionary game theory in agricultural organization research by revealing the micro-level mechanisms underlying alliance stability and providing a novel analytical framework for addressing the ‘strategy–equilibrium’ paradox in multi-agent cooperation. Our work not only offers new theoretical perspectives and methodological support for understanding the dynamic stability mechanisms of agricultural vertical alliances but also establishes a substantive theoretical foundation for optimizing consortium governance and promoting long-term alliance stability. Full article

In today’s rapidly evolving global landscape, the need to cultivate innovation-ready, globally competent talent has become a strategic imperative. This study critically investigates how sustainable open innovation strategies—particularly within non-profit organizations and university alliances—can serve as a catalyst for global talent development. Responding to the growing demand for interdisciplinary, cross-sectoral collaboration, the research employs a robust mixed-methods approach, integrating the Analytic Hierarchy Process (AHP) and Fuzzy Analytic Hierarchy Process (FAHP) to evaluate and prioritize key strategic factors. The findings reveal that initiatives such as international internship programs, operational funding mechanisms, joint research ventures, and technology transfer are essential drivers in creating environments that nurture and scale global talent. Building on these insights, this study introduces a structured, sustainable innovation model that categorizes strategies into three tiers—collaborative, interactive, and foundational service-oriented actions—providing a practical roadmap for resource optimization and strategic planning. More than a theoretical exercise, this research offers actionable guidance for non-profit leaders, academic administrators, and corporate partners. It highlights the reciprocal value of multi-sector collaboration and contributes to a broader understanding of how mission-driven innovation ecosystems can foster resilient, future-ready workforces. By positioning non-profit–academic partnerships at the center of global talent strategies, the study sets a foundation for rethinking how institutions can co-create value in addressing pressing global challenges. Full article

Coral reefs are threatened by multiple stressors that have driven a decline in the cover of reef-building coral species, resulting in a loss of reef structure and function. Restoration reef science provides useful conservation tools to preserve and restore the key species and ecological functions of these ecosystems. However, gaps remain in restoration at large scales. This study provides a guide of how to invest and apply innovative solutions and immediate action strategies from the tourism-hotel sector in alliance with academia and key stakeholders, through the development and implementation of a multi-species restoration program at two sites in the Mexican Caribbean: Manchoncitos Reef, Riviera Maya and La Francesita Reef, Cozumel. We have identified effective propagation and outplanting techniques for key critically endangered species, as well as genotypes resistant to temperature stress and Stony Coral Tissue Loss Disease (SCTLD), based on pre-restoration nursery trials. We include a comparative analysis over time (2020–2022) showing increased coral cover, structural complexity and fish biomass. Baseline assessment of the study areas will allow adaptation of repopulation techniques not only for hard corals, but also to advance in the comprehensive restoration of the ecosystem, incorporating new elements to the reef, such as fish, crab or sea urchin post larvae. These organisms could accelerate herbivory functions and in turn could improve the natural processes of the coral reefs. Our results improve the understanding of the use of restoration as a tool for climate change adaptation led by the private sector. Full article

Background/Objectives: Spinal cord injury (SCI) is a disabling condition prevalent worldwide, requiring rehabilitation services from injury through community living. This study, conducted by representatives of the World Rehabilitation Alliance (WRA), aims to identify strategies for strengthening SCI rehabilitation services globally, with particular attention to settings where resources are limited. Methods: Three focus groups were held between 2023 and 2024 with WRA representatives specializing in SCI rehabilitation. Discussions focused on four key areas: workforce and education, health policy and systems research, primary care, and emergency response. Perspectives were developed taking into account frameworks from the World Health Organization (WHO). Results: Key insights into SCI rehabilitation services emphasize workforce and education as critical areas, underscoring the importance of specialized training, certification, and ongoing support to build capacity. In health systems and policy research, significant gaps in evidence-based practices were highlighted, emphasizing the need for comprehensive data collection and national registries to guide policy and align SCI care with global standards. The integration into primary care systems is recommended to improve access and address common complications in low- and middle-income countries (LMICs). For emergency response, this study stresses the importance of preparedness and establishing multi-disciplinary teams capable of managing SCI cases in resource-limited settings, reducing preventable complications, and improving patient outcomes. Conclusions: SCI rehabilitation services are essential to global health, with a need for workforce development, research, national registries, and integration into primary and emergency care. Such efforts should improve accessibility and align with global best practices, ensuring comprehensive and accessible rehabilitation for all. Full article

Background: Clinically, there is considerable heterogeneity in the presentation of transthyretin amyloidosis (ATTR), which ranges from primarily cardiac and primarily neurologic to mixed disease, among other manifestations. Because of this complex presentation, the diagnosis and management of patients with ATTR are often challenging and should be performed in interdisciplinary centers specialized in amyloidosis. Here, we aimed to increase awareness of ATTR detection and pathophysiology through a multidimensional multiorgan approach. Case report: We reported on a 60-year-old man with wild-type ATTR who underwent a number of both basic and advanced cardiological and neurological investigations at baseline and after a treatment period with the TTR tetramer stabilizer, tafamidis. Several findings are provided here, some of which might be considered instrumental correlates of the patient’s clinical improvement after therapy. Conclusions: Adequate awareness and prompt recognition of ATTR support early diagnosis and faster access to therapies, thereby slowing the progression and improving the prognosis. The need for a multidisciplinary alliance between specialists and the opportunity to perform, at least in selected cases, a set of specific examinations for a detailed assessment of ATTR patients can also provide valuable insights into the physiopathology and response to therapy of a disease as complex and intriguing as ATTR. Full article

This study proposes a multi-stakeholder framework to enhance fintech use in Africa, aiming to improve financial inclusion and achieve the Sustainable Development Goals. This article analyzes past research and frameworks built to help stakeholders in developing nations adopt fintech, some of which have been tested in African states with limited success. The study recommends prioritizing national ownership, creating an enabling environment for private sector investment, partnering with multilateral development banks and other stakeholders, fostering innovation and digital literacy, and focusing on cost-effective, non-government-guaranteed financing. In accordance with the G20’s High-Level Principles for Digital Financial Inclusion, a country-specific strategy can boost financial technology and digital financial services uptake in Africa. Each government may build a legislative climate that supports innovation and competition, strengthens its digital infrastructure, increases digital literacy and awareness, and collaborates with private sector stakeholders to extend financial inclusion. Partnerships with businesses, international organizations, and other nations can help The Better Than Cash Alliance (TBTCA) promote fintech adoption. Countries can use fintech companies to build and implement national digital payment infrastructure by joining the Alliance. Finally, the mSTAR program advises cooperating with USAID to promote marginalized people, incorporate digital financial services, increase public–private engagement, and educate and train policymakers, practitioners, and technologists. These ideas can help African governments adopt fintech products faster and enhance financial inclusion. Full article

Evidence shows that diversity and spatial distributions of biological communities are largely driven by the race of living organisms in their adaptation to chemicals synthesized by their neighbors. In this report, the emergence of mathematical models on pure spatial self-organization induced by biochemical suppression (allelopathy) and competition between species were investigated through numerical analysis. For both random and patched initial spatial distributions of species, we demonstrate that warfare survivors are self-organized on the landscape in Turing-like patterns driven by diffusive instabilities of allelochemicals. These patterns are simple; either all species coexist at low diffusion rates or are massively extinct, except for a few at high diffusivities, but they are complex and biodiversity-sustained at intermediate diffusion rates. “Defensive alliances” and ecotones seem to be basic mechanisms that sustain great biodiversity in our hybrid cellular automata model. Moreover, species coexistence and extinction exhibit multi-stationarity. Full article

Roboticized nursing technology is a significant means to implement efficient elderly care and improve their welfare. Introducing multi-heterogeneous robot systems (MHRS) and sensor networks into a smart home is a promising approach to improve the safety and acceptability of elderly care services in daily life. Among them, the energy consumption and task planning of MHRS determine nursing safety, which is particularly important in the real nursing process. Therefore, we established a novel smart home for elderly care based on seven heterogeneous nursing robots, and proposed a multi-robot task allocation (MRTA) algorithm, considering execution time and energy consumption. The whole system efficiency makes up for the functional limitations and service continuity of traditional MHRS. To realize efficiently conducted multitasks, we established an architecture with centralized task allocation center, robot alliance layer and distributed execution layer for the MHRS. The self-organizing architecture contributes to overall task allocation, communication and adaptive cooperative control between different robots. Then, to clearly describe the continuous nursing process with multiple simultaneous demands and emergency tasks, we modeled the whole nursing process with continuity, multi-priority, and interpretability. A novel MRTA algorithm with a dynamic bidding mechanism was proposed. Comprehensive experiments showed that the proposed algorithm could effectively solve the three key problems of multi-priority tasks, multi-robot safe and adaptive cooperation, and emergency task call in the scene of elderly care. The proposed architecture regarding the smart home could be applied in nursing centers, hospitals, and other places for elderly care. Full article

This study was aimed to identify intermediary organizations active in nature conservation initiatives by adopting a multi-level (ML) and network governance (NG) framework and using social network analysis (SNA). We identified 256 coordinating beneficiaries and 1090 associated beneficiaries connected through 8310 project relations and financed through the EU-funded LIFE Programme from 2014 to 2020. Our results evidence a central component of the network where organizations from Italy, Spain, and the United Kingdom play a central role. In contrast, peripheral components return a framework of partnerships mainly constituted by actors of the same country (68%). Moreover, the characterization by type of actor confirms the widespread implementation of a multi-level governance approach in LIFE-Nature (NAT) projects, evidencing the significant presence of non-governmental organizations and foundations, mainly at a national level, in nature conservation initiatives. Our findings reveal that the intermediary capacity of key actors should be further reinforced, particularly toward the promotion of transnational cooperation and cross-sector alliances, by encouraging the involvement of stakeholders operating at the ground level (i.e., provincial and municipal levels). Full article

The health of migrants and refugees, which has long been a cause for concern, has come under greatly increased pressure in the last decade. Against a background where the world has witnessed the largest numbers of migrants in history, the advent of the COVID-19 pandemic has stretched the capacities of countries and of aid, health and relief organizations, from global to local levels, to meet the human rights and pressing needs of migrants and refugees for access to health care and to public health measures needed to protect them from the pandemic. The overview in this article of the situation in examples of middle-income countries that have hosted mass migration in recent years has drawn on information from summaries presented in an M8 Alliance Expert Meeting, from peer-reviewed literature and from reports from international agencies concerned with the status and health of migrants and refugees. The multi-factor approach developed here draws on perspectives from structural factors (including rights, governance, policies and practices), health determinants (including economic, environmental, social and political, as well as migration itself as a determinant) and the human security framework (defined as “freedom from want and fear and freedom to live in dignity” and incorporating the interactive dimensions of health, food, environmental, economic, personal, community and political security). These integrate as a multi-component ‘ecological perspective’ to examine the legal status, health rights and access to health care and other services of migrants and refugees, to mark gap areas and to consider the implications for improving health security both for them and for the communities in countries in which they reside or through which they transit. Full article