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Global biodiversity decreased by 69% from 1970 to 2022, representing a key risk to economic activity. However, the link between nature, biodiversity and finance has received little attention within the field of sustainable finance. This paper attempts to fill this gap. Nature finance aims to avoid biodiversity loss and promote nature-positive activities, such as the conservation and protection of biodiversity through market-based solutions with the proper measurement of impact. Measuring biodiversity impact remains a challenge for most companies and banks, with a fragmented landscape of nature frameworks. We conduct a bibliometric analysis of the literature on biodiversity finance and analyze a unique market dataset of five global investment funds as well as all corporate bonds issued in Brazil, the country with the largest biodiversity assets. First, we find that the literature on nature finance is recent with a tipping point in 2020, with the three most common concepts being ecosystem services, nature-based solutions and circular economy. Second, we find that sovereigns and two corporate sectors (food production, pulp & paper) represent the vast majority of issuers that currently incorporate biodiversity considerations into funding structures, suggesting an opportunity to expand accountability for biodiversity impacts across a greater number of sectors. Third, we find a disconnect between science and finance. Out of a catalogue of 158 biodiversity metrics proposed by the IFC, just 33 have been used in bond issuances and 32 by fund managers, suggesting an opportunity for technical assistance for companies and to simplify catalogs to create a common language. Lack of consensus around metrics, complexity, and cost explain this gap. Fourth, we identify a distinction between liquid markets and illiquid markets in their application of biodiversity impact management and measurement. Illiquid markets, such as private equity, bilateral lending, voluntary carbon markets or investment funds can develop complex bespoke mechanisms to measure nature, leveraging detailed catalogues of metrics. Liquid markets, including bonds, exhibit a preference for simpler metrics such as preserved areas or forest cover. Full article

The entry is intended to define the concepts of risk communication and emergency communication. At the same time, it explains the difference not only from a communication point of view but also from a cultural one. Risk and emergency are two sociologically relevant events, and they are culturally constructed. They are events that bring about a socio-cultural change, which, in turn, is triggered by the population’s responses on the basis of the social perception of the events themselves, also conveyed by the different forms of communication. When communicating risk and emergencies, it is essential to educate people about alert and emergency systems. Above all, what they refer to and what kind of message they contain. The “warning communication” must be specific and refer exclusively to the threat to start the first phase of the communication through which it is possible to understand the type of threat and define the communication plan to be implemented later. The use of social media, which is strongly spread in digital society, allows not only rapid dissemination of information but also rapid communication and message selection (speed and content of the message are equally important). Alert and warning systems are very often linked to risk systems, since the risk from natural disasters (eruptions, earthquakes, tsunamis) or technological catastrophes (nuclear power plant explosions) follows emergency phases when the phenomenon occurs. The communication processes, in and emergency, must be able to explain, persuade but also confer an assist the political decision-maker and the decision-making process itself through an alert system (especially in the first phase), followed by continuous dissemination through the media that the digital society offers, as well as through the usual systems adopted by government bodies (for example, bulletins and news), specialized research institutions and institutes with information and communication functions. In risk and emergency management, information and communication are to be considered, respectively, a basic element and a means of dissemination and training to educate the population to perceive a risk, to recognise emergencies and the possible impact of the risk. Differences will be expressed and analysed with reference to international examples. Full article

This study aims to advance knowledge in the concept of therapeutic milieus by connecting nature, spirituality, and health to develop sustainable destinations. It combines the advantages of a conceptual paper and a multi-case study, offering a range of solutions demonstrated with three types of settlements: a county capital, a middle-sized town, and a small town. The GIS analysis identified several areas where the co-existence of thermal water, sacred sites, and verdant landscapes is in abundance, and five potential study areas were selected. Additional selection criteria included the GDP of the counties, visitation data, and synergy potential. Field work using field notes and photographs reconfirmed the results of the mapping and found unique value propositions that could enhance the value of health tourism. The theoretical research suggested three areas with synergy potential: culture, gastronomy, and sports. Based on the findings, a framework for therapeutic milieus showing three different scenarios was prepared. As for the economic and social implications, the research highlighted that adopting a multidisciplinary approach, incorporating insights from geography, cultural studies, and psychology, could make destinations more resilient, thus benefiting both tourists and locals. This study represents a substantial contribution to the milieu theories by incorporating natural, cultural, and spiritual elements into a flexible framework for therapeutic milieus. Future research may explore therapeutic milieus outside the Christian context or investigate the demand side. Full article

The coordination of heterogeneous Unmanned Aerial Vehicles (UAVs) for complex, multi-stage tasks presents a significant challenge in robotics and autonomous systems. Traditional linear models often fail to capture the emergent synergistic effects and dynamic nature of multi-agent collaboration. To address these limitations, this paper proposes a novel hierarchical framework based on a Mission Chain (MC) concept. We systematically define and model key elements of multi-agent collaboration, including Mission Chains (MCs), Execution Paths (EPs), Task Networks (TNs), and Solution Spaces (SSs), creating an integrated theoretical structure. Based on this framework, we formulate the problem as a Sensor–Effector–Target Assignment challenge and propose a Marginal Return-Based Heuristic Algorithm (MRBHA) for efficient dynamic task allocation. Simulations demonstrate that our proposed MRBHA achieves a substantially higher total expected mission value—outperforming standard greedy and random assignment strategies by 14% and 77%, respectively. This validates the framework’s ability to effectively capitalize on synergistic opportunities within the UAV network. The proposed system provides a robust and scalable solution for managing complex missions in dynamic environments, with potential applications in search-and-rescue, environmental monitoring, and intelligent logistics. Full article

Environmental concerns and the increasing scarcity of resources force decision makers in the supply chain to consider reuse and re-production. Closed loop supply chain is a fundamental concept that has attracted the attention of many researchers due to its profitability for businesses as well as its positive environmental and social effects. Closed-loop supply chains and sustainability dimensions are complementary because of their mutual effects. This paper develops a mathematical model to design a sustainable closed-loop supply chain network in the wood–plastic composite industry. Due to the nature of the problem considered, a mixed-integer linear programming method is utilized. The proposed model is a multi-objective model, and the Lp-metric method is used to solve it. The proposed model is applied in a real case in Iran. The proposed model identified 17 optimal provinces for manufacturing centers, 15 for reuse centers, and 9 for reproduction centers. Verification and validation of the proposed model illustrate its capability in real world implications. Full article

As an emerging concept, steganography without embedding (SWE) hides a secret message without directly embedding it into a cover. Thus, SWE has the unique advantage of being immune to typical steganalysis methods and can better protect the secret message from being exposed. However, existing SWE methods are generally criticized for their poor payload capacity and low fidelity of recovered secret messages. In this paper, we propose a novel steganography-without-embedding technique, named DF-SWE, which addresses the aforementioned drawbacks and produces diverse and natural stego images. Specifically, DF-SWE employs a reversible circulation of double flow to build a reversible bijective transformation between the secret image and the generated stego image. Hence, it provides a way to directly generate stego images from secret images without a cover image. Besides leveraging the invertible property, DF-SWE can invert a secret image from a generated stego image in a nearly lossless manner and increase the fidelity of extracted secret images. To the best of our knowledge, DF-SWE is the first SWE method that can hide multiple images into one image with the same size, significantly enhancing the payload capacity. According to the experimental results, the payload capacity of DF-SWE achieves 24–72 BPP, which is 8000∼16,000 times more compared to its competitors while producing diverse images to minimize the exposure risk. Importantly, DF-SWE can be applied in the steganography of secret images in various domains without requiring training data from the corresponding domains. This domain-agnostic property suggests that DF-SWE can (1) be applied to hiding private data and (2) be deployed in resource-limited systems. Full article

Real-time gait analysis is essential for the development of responsive and reliable motorized prosthetics. Deploying advanced deep learning models on resource-constrained embedded systems, however, remains a major challenge. This proof-of-concept study presents a TinyML-based approach for knee joint angle prediction using convolutional neural networks (CNNs) trained on inertial measurement unit (IMU) signals. Gait data were acquired from four healthy participants performing multiple stride types, and data augmentation strategies were applied to enhance model robustness. Multi-objective optimization was employed to balance accuracy and computational efficiency, yielding specialized CNN architectures tailored for short, natural, and long strides. A lightweight classifier enabled real-time selection of the appropriate specialized model. The proposed framework achieved an average RMSE of 2.05°, representing a performance gain of more than 35% compared to a generalist baseline, while maintaining reduced inference latency (16.8 ms) on a $40 embedded platform (Sipeed MaixBit with Kendryte K210). These findings demonstrate the feasibility of deploying compact and specialized deep learning models on low-cost hardware, enabling affordable prosthetic solutions with real-time responsiveness. This work contributes to advancing intelligent assistive technologies by combining efficient model design, hardware-aware optimization, and clinically relevant gait prediction performance. Full article

By combining social, ecological, and communal elements, urban parks significantly improve the quality of urban life. This paper explores the revitalization proposal for Areos Park in Tripoli, Greece, viewing it as an urban palimpsest reflecting layers of history, culture, and nature. While historically evolving from exclusive enclaves to vital public spaces fostering social equity and well-being, many urban parks, including those in Greece, suffer from neglect and underfunding, diminishing their landscape value and necessitating revitalization. Areos Park exemplifies these challenges, making it an ideal case study for exploring effective urban park revitalization strategies and demonstrating how urban areas can host critical landscape functions. Utilizing a design-based research (DBR) methodology, a design plan is proposed. The architectural concept focuses on revamping key areas, restoring historical features, adding small constructions, and repurposing existing buildings for community and educational uses. Concurrently, the landscape concept emphasizes biodiversity enrichment and ecological restoration through permeable surfaces and native Mediterranean vegetation, contributing to urban resilience to climate change. The overall design prioritizes accessibility and spatial connectedness to create an inclusive, resilient, and adaptable urban park addressing contemporary sustainability challenges and biodiversity loss. The project aims to establish Areos Park as a model for sustainable urban park regeneration in small cities, blending ecological enhancement with historical preservation. Full article

The concept of urban mining refers to the recovery and valorization of valuable resources from urban and industrial waste, contributing to circular economy principles. Within this framework, the present study provides a critical review of alkali-activated binders incorporating bivalve mollusk shells as alternative calcium sources. Shells from oysters, scallops, mussels, clams, cockles, and periwinkles were examined, either in their natural or calcined forms, for use as calcium sources, alkaline activators, or fillers in low-carbon binders. The review evaluates key processing parameters, including precursor composition, type and concentration of alkaline activators, curing conditions, and calcination temperatures, and compares the resulting mechanical, chemical, and microstructural properties. In addition, several studies report applications of these binders in soil stabilization and heavy metal immobilization, demonstrating performances comparable to Portland cement. The findings confirm the technical potential of mollusk shell residues and their contribution to the circular economy by diverting aquaculture waste from landfills and marine environments. Nonetheless, significant knowledge gaps persist, including the limited investigation of non-oyster species, the absence of field-scale studies, and the lack of resource mapping, life cycle, or economic assessments. This synthesis highlights preliminary insights, such as optimal calcination temperatures between 700 and 900 °C and effective combinations with silica and alumina-rich residues. Overall, it outlines a pathway toward transforming an underutilized waste stream into sustainable and technically viable construction materials. Full article

Bluetongue virus (BTV) is the causative agent of the significant livestock disease Bluetongue (BT), which causes severe economic losses associated with its considerable impact on the health and trade of ruminants. Background/Objectives: BTV infection and vaccination against the virus typically result in the induction of antibodies with the capacity to neutralize viral infection. Classic neutralization approaches resemble the methodology applied for neutralizing antibodies (NAbs) quantification. To improve long-standing and new-generation methodologies for the quantification of NAbs or evaluation of antivirals, we offer here the development of a new luciferase-based microneutralization approach as a proof-of-concept. Methods: Central to this innovative approach is the recently generated set of replication-competent reporter-expressing recombinant BTV, where the NanoLuc luciferase protein expression serves as a quantifiable readout for viral replication. After evaluating a set of heat-inactivated serum samples with neutralizing activity (measured via SNTs), these were incubated with 100 PFU of NLuc-expressing rBTV of serotype 1, 4 or 8 and Vero cells were infected with the serum–virus mixture. Then, the luminescent signal was measured at 48 h post-infection. Results: Using the proposed NLuc-based assay and the luminescent signal in the supernatant, we could detect neutralizing activity as soon as 48 h post-infection. Importantly, we were able to observe a strong correlation between NAbs titers measured by classic microneutralization assay and by our bioluminescent approach (BTV-1 Spearman r = 0.932901; p-value < 0.0001; BTV-4 Spearman r = 0.8070192; p-value < 0.0001; BTV-8 Spearman r = 0.9983; p-value < 0.0001). In addition, the NLuc-based assay displayed a serotype-specific character potentially equivalent to classic SNT methods. Conclusions: In summary, our reporter-based microneutralization assay provides a rapid and suitable method to quantify BTV-neutralizing antibodies in serum samples of natural hosts after vaccination or infection, with a serotype-specificity equivalent to classic SNT methods. Full article

Tendon injuries affect millions of people globally and are among the most prevalent musculoskeletal conditions, frequently resulting in chronic pain, reduced mobility, and functional impairment. While conservative and surgical treatments are available, limitations such as low healing capacity, scar formation, and reduced biomechanics necessitate alternative approaches. Tissue engineering offers a promising solution by combining cells, scaffolds, and bioactive molecules to regenerate tendon tissue. This review presents key concepts and emerging trends, highlighting the cellular components, scaffold materials, and manufacturing processes. Tenocytes and mesenchymal stem cells are fundamental for tissue regeneration, as they synthesize extracellular matrix components and regulate inflammatory responses. Various natural and synthetic polymers have been fabricated into scaffolds that mimic the structure and biomechanics of natural tendons. Composite and hybrid scaffolds are utilized to improve the biocompatibility of natural materials with the mechanical stability of synthetic materials. Advanced technologies, such as electrospinning, freeze-drying, and 3D bioprinting, enable the creation of scaffolds with defined architecture and functional gradients, improving cell alignment, differentiation, and tendon–bone integration. Although promising preclinical data exists, major challenges remain in translating these strategies clinically, particularly vascularization, immune rejection, and mechanical stability. Continued interdisciplinary attempts in biomaterials science, cellular biology, and engineering are crucial to advancing clinically viable tendon tissue engineering. Full article

This paper addresses the very important and topical issue of the effective and efficient implementation of green and energy transition processes, taking into account social aspects and energy security. Due to climate change and the geopolitical situation, these processes are currently priorities for most countries and regions of the world. The opportunity to achieve success in their implementation lies in the implementation of the Open Innovation concept in a new model developed and presented in this paper. Its essence is an identified group of stakeholders in the processes under study (science, business, state, society, environment) and their specific positions, roles, and relationships. It was also important to analyze the mechanisms of cooperation and interaction between stakeholders, defining key forms and directions, as well as ways of harmonizing them, leading to synergy in innovation processes. A significant stage of the work was also the development of a RACI role and responsibility matrix, which enabled the precise assignment of functions to individual stakeholders in the developed model. Key challenges, barriers (technological, regulatory, organizational, and social), and factors conducive to the coordination of cooperation and interests of the identified stakeholder groups were also identified. To deepen knowledge and better understand the dynamics of this cooperation, a matrix was also developed to assess priorities and their impact on the energy sector within the open innovation model. This tool enables the identification of diverse perspectives in relation to key criteria such as energy security, innovation, social participation, and sustainable development. In addition, a set of indicators (in five key categories of the innovation ecosystem) was developed to enable multidimensional measurement of the effectiveness, efficiency, and scalability of the open innovation model in the energy sector. They also allow for the study of the impact of these factors on the sustainable development, security, and resilience of energy systems. The developed and presented concept of a model of cooperation between stakeholders using the Open Innovation model in the energy industry is universal in nature and can also be used in other sectors. Its application offers broad opportunities to support the management of transformation processes, taking into account the innovative solutions that are necessary for the success of these processes. Full article

Public understanding of complex sustainability concepts like life cycle assessment (LCA) is crucial for promoting environmentally responsible consumption yet remains a significant educational challenge. This study introduces and evaluates Paper Goes Green, a competitive board game designed to make abstract LCA principles tangible and personally relevant. The game simulates the paper production chain, compelling players to make strategic decisions about resource allocation, production pathways (conventional vs. green), and waste management to fulfill paper orders. Through a single-group pre-test/post-test design with 85 participants (25 environmental educators and 60 public members), the game’s efficacy was assessed. Paired-sample t-tests revealed significant improvements in participants’ perceived knowledge of green chemistry/LCA (pre-game mean 2.05, post-game 3.24 on a 5-point scale, p < 0.001), pro-environmental attitudes (3.38 to 4.22, p < 0.001), and behavioral intentions toward green consumption (3.97 to 4.44, p < 0.001). These gains correspond to medium-to-large effect sizes (Cohen’s d = 0.94 for knowledge, 0.70 for attitude, 0.71 for behavior), indicating substantial practical impact. Qualitative feedback further highlighted the game’s engaging and thought-provoking nature. Notably, specific design features—such as immediate feedback, player control, and interactivity—were identified as key contributors to learning, fostering systems thinking in players. These findings suggest that Paper Goes Green is a promising educational tool for translating complex environmental science into an engaging, impactful learning experience. The game effectively bridges the gap between abstract concepts and real-world consumer choices, fostering life cycle thinking and empowering players to make greener choices in their daily lives. Full article

The same term “intelligence” is used in different contexts as if there were a consensus on its meaning, even if already within the paradigmatic subject of human intelligence, the dominating view is that there are multiple (two, three, eight, or more) intelligences depending on the diverse criteria for being intelligent. This multiplicity increases when non-human agents are considered. This short paper serves as a preliminary report on a more comprehensive study, currently at the stage of preparation for publication, with the purpose to seek a uniform characteristic of intelligence formulated in terms of information and its complexity behind and above its diverse manifestations and instantiations in multiple contexts, including those of its human, animal, or other natural forms, as well as characteristics of artifacts. The proposed view of intelligence as the capacity to overcome the complexity of information unifies these manifestations, and not only sets foundations for their systematic study in already considered instances, but also allows effective seeking of its not-yet-known manifestations. Due to the limited volume of this paper, the focus is on the motivations for and feasibility of the more extensive study, with only an outline of the proposed view of a general concept of intelligence. Full article

Addressing the multidimensional nature of structural racism requires a cross-sectoral response. Chicago United for Equity (CUE) is an organization in Chicago, Illinois that coordinates an annual Fellowship program for individuals from diverse institutions and social systems with the goal of building their capacity to do hyperlocal racial justice and systems change work. Researchers at the University of Illinois Chicago (UIC) School of Public Health partnered with CUE to design and conduct an evaluation study to assess the impact of the Fellowship. Twenty-four individuals who completed the Fellowship participated in semi-structured interviews that explored their experiences in the Fellowship. The UIC research team conducted qualitative content analysis of the interview transcript data. We found that the CUE Fellowship influenced the Fellows and their racial justice work by providing tools and exposure to racial justice concepts, fostering valuable relationships, and expanding the thinking of participants. The fellowship influenced the Fellows and their racial justice work within and across local institutions and social systems. This study highlighted how the program helped to build a network of racial justice leaders in Chicago and Cook County that are engaging in cross-sectoral systems change efforts, an essential aspect of addressing structural racism. Full article