Search Results (608)

Second-generation bioethanol from food industry lignocellulosic residues offers a promising route toward low-carbon, circular bioenergy systems. However, the reported environmental impacts differ markedly across studies, challenging efforts to assess the true sustainability of these waste-derived bioethanol routes. This review synthesizes current knowledge on the production of bioethanol from key agro-industrial wastes including oil palm empty fruit bunches, sugarcane bagasse, brewers’ spent grain, spent coffee grounds, tea waste, citrus residues, and potato peel waste. We outline feedstock characteristics, availability, and prevailing management practices, and map the principal biochemical conversion routes to identify process steps that drive environmental performance. A systematic comparison of life cycle assessments reveals substantial methodological heterogeneity across functional units, system boundaries, allocation procedures, and impact assessment methods. Nonetheless, consistent hotspots emerge, particularly associated with pretreatment severity, enzyme production, thermal energy demand, and co-product handling. The review highlights robust cross-study trends, pinpoints methodological gaps, and proposes recommendations for harmonized LCA practice. By integrating technological and methodological perspectives, this work aims to support the development and policy uptake of sustainable, waste-based bioethanol within circular bioeconomies. Full article

With rapid advances in nanotechnology and synthetic biology, biological nanonetworks are emerging for biomedical and environmental applications within the Internet of Bio-NanoThings. While they rely on molecular communication, experimental validation remains limited, especially for non-ideal effects such as molecular accumulation. In this work, we present a novel table-top experimental system that emulates the core functionalities of a biological nanonetwork and is straightforward to reproduce in standard laboratory environments, also making it suitable for educational demonstrations. To the best of our knowledge, this is the first experimental platform that incorporates two end nodes capable of acting interchangeably as transmitter and receiver, thereby enabling true bidirectional molecular communication. Information transfer is realized through controlled release, advection and diffusion of molecules, using molecular concentration coding analogous to concentration shift keying, while the receiver decodes messages by comparing measured concentrations against predefined thresholds. Based on the measurements reported herein, the drop-based algorithm substantially outperforms the threshold-based scheme. Specifically, it reduces first-message latency by more than 2.5× across the tested volumes and reduces latest-message latency by up to 71%, providing approximately 3.7× better message delivery. A key experimental outcome is the observation of channel saturation: beyond a certain operating period, residual molecules accumulate and effectively saturate the medium, inhibiting reliable further message exchange until sufficient clearance occurs. This saturation-induced “channel memory” emerges as a fundamental practical constraint on sustained communication and achievable data rates. Overall, the proposed platform provides a scalable, controllable, and experimentally accessible testbed for systematically studying signal degradation, saturation, clearance dynamics, and throughput limits, thereby bridging the gap between theoretical models and practical implementations in the Internet of Bio-NanoThings era. Full article

While animal-derived ingredients continue to dominate pet food, mounting animal welfare and environmental pressures are starting to reshape the market—opening the door to plant-based and cultivated meat alternatives for dogs and cats. This study assessed the effective altruism case for more sustainable pet food options, using the scale, neglectedness, and tractability framework, and found strong alignment across all three dimensions. By 2018, at least 9% of farmed land animals were fed to companion dogs and cats globally, with more consumed by average dogs (13) than by average people (9) annually. A global transition to nutritionally sound vegan pet diets could spare seven billion farmed land animals and many billions of marine animals from slaughter and could feed 519 million additional people using food energy savings. Such a transition for dogs alone could eliminate 1.5 times the quantity of greenhouse gases produced annually by the UK and free up land larger than Mexico. Yet, sustainable pet food is a highly neglected issue in terms of funding, time, and talent. The issue appears tractable; 13–18% of dog and cat guardians would consider vegan pet diets if their concerns about them were addressed. Assuming only one dog or cat per guardian, at least 70 million dogs and 86 million cats worldwide could potentially be transitioned to vegan diets, with the true figures probably several times higher. Sustainable pet diets, therefore, represent a highly impactful yet overlooked opportunity to reduce farmed animal consumption, mitigate associated environmental impacts, and improve food security. Full article

Background/Objectives: Every country and territory worldwide is affected by varying degrees of under- and overconsumption of food. A substantial share of the economic burden of unsustainable malnutrition arises from diet-related health impacts, although existing research has largely focused on environmental consequences. Methods: This study addresses this gap by combining cost-of-illness (COI) and True Cost Accounting (TCA) approaches, as well as Global Burden of Disease (GBD) data, to estimate external diet-induced health costs. A comprehensive database covering 204 countries and territories is established, quantifying health costs by disease category and dietary risk factor. Results: The results indicate that USD 1719.94 billion in annual global health costs are attributable to poor diets. This corresponds to an average burden of USD 211.08 per capita per year. Cardiovascular diseases (CVDs) constitute the largest share of costs, followed by diabetes mellitus (DM). In absolute and per capita terms, the United States contributes disproportionately. Regionally, North America bears 44.36% of the global monetary burden, while Oceania accounts for only 1.22%. The highest per-capita costs occur in North America, Europe, and Oceania. The most influential dietary risk factors are the overconsumption of processed and red meat, and the underconsumption of whole grains. A strong positive correlation is observed between diet-related health costs and national prosperity levels. Conclusions: This framework represents a novel approach to standardized and holistic valuation, providing a robust basis for deriving policy-relevant insights to inform sustainable nutrition strategies and advance the United Nations (UN) Sustainable Development Goals (SDGs), especially the second SDG, zero hunger. Full article

Background/Objectives: The Thriving at Work model proposes that organisations have a responsibility to provide supportive work environments that identify individual health outcomes, which organisations can use to determine where workforce support is needed. The aims of this study are to (1) identify and compare the predictors of early-career nurses’ thriving at work in New Zealand and Australia and (2) provide innovative and theory-informed recommendations to improve organisational support of early-career nurses to increase retention in the profession. Design: A multinational cross-sectional study design was followed. Methods: The methods include a sub-study of an international action research programme to support the thriving of early-career nurses, which evaluates and compares results from surveys of nurses at approximately three months post-registration in 2024 and 2025. A theory-informed survey assesses predictors and outcomes of thriving at work. Results: Early-career nurses (N = 320) from New Zealand (n = 277) and Australia (n = 43) completed the survey. New Zealand early-career nurses experience greater quality of care and authenticity at work; however, they also report greater burnout. For Australian early-career nurses, authenticity at work is the greatest predictor of thriving. In New Zealand, thriving is linked to burnout and colleague support. Conclusions: New Zealand must focus on reducing burnout and fostering workplaces that value social connection if it wants to mitigate early-career nurse attrition to Australia for better working conditions. In Australia, the value of authenticity at work highlights the importance of organisational cultures that enable nurses to express their true selves and professional identity. The findings highlight the need for tailored approaches in each country to strengthen workforce sustainability and improve nurse wellbeing. Implications for the Profession: In New Zealand, additional funding to bolster the recruitment and retention of the nursing workforce is crucial to improve patient ratios and reduce workloads. The remuneration of nurses must also remain competitive with Australia. Additionally, workplaces should incorporate Māori values and practices into workplace policies to strengthen social connections. Australian organisations should include authentic management training, psychological safety initiatives, and policies that value diversity and encourage open communication. Full article

To support intelligent and sustainable mine engineering, this geotechnics-based study integrates laboratory testing, three-dimensional numerical simulation, and field monitoring to optimize roadway support and improve resource efficiency. This study investigates the geotechnical behavior of the surrounding rock in coalmine roadways under single-face unloading conditions, aiming to provide theoretical and practical support for surrounding rock control in underground coal mining. Excavation of the roadway creates a free surface, leading to unloading, which makes timely support crucial for preventing instability. True-triaxial single-face unloading tests and mechanical tests on hole-containing coal specimens show that the coal exhibits four characteristic stages, namely fissure compaction (closure), elastic deformation, yielding, and residual strength. Under a confining stress of 4 MPa, the peak strength of Coal Seam No. 3 in the true-triaxial single-face unloading test reached 32.4 MPa, whereas the peak strength of the hole-containing coal specimen was only 17.1 MPa, and failure occurred as instantaneous global instability with an “X”-shaped conjugate shear pattern. Numerical simulations were conducted to optimize the roadway’s surrounding rock control scheme, indicating that increasing the bolt length increases the proportion of the load carried by the rock bolts while reducing the load borne by the cable bolts. In addition, advance abutment pressure increases the forces in the support system and amplifies deformation of the solid rib, coal-pillar rib, and roof; roadway surface convergence is dominated by floor heave. Full article

Interest in plant-based diets has grown expressively in different regions of the world. However, the missing regulation for meat analogs may mislead consumers by suggesting that these products are the same as the meat they are replacing. Therefore, this study aims to analyze the current global scenario of meat analogs, discuss consumption changes and their regulation, as well as pointing out future perspectives for the sector. A narrative literature review was performed using scientific papers from the Virtual Health Library (BVS), LILACS, PubMed (NIH), Embase, Web of Science, Scopus, and official documents. Included studies were aligned with the research theme, concentrating on countries with regulations for plant-based analog products and those lacking or pursuing such regulations. Additionally, studies were selected based on the following criteria: original or review studies from different countries, papers discussing meat analogs in terms of consumption, sensory attributes, market dynamics, sustainability, regulation, food safety; availability of full text; and publication dates ranging from 2015 to 2025. The data reveals that most of the assessed nations still lack specific regulations for meat analog products, adopting general labeling and naming standards that range from flexible approaches to strict restrictions. To conclude, the article highlights that meat substitutes are emerging as promising and sustainable options; however, their true consolidation is conditioned on the existence of more defined regulatory frameworks, increased consumer confidence, and market conditions that favor their large-scale adoption. Full article

The operational reliability of wind turbines is critical for sustainable energy production in smart grids. This study proposes a remote monitoring approach using perceptually enhanced satellite imagery. Sentinel-2 multispectral data (10 m resolution) has been processed with a Super-Resolution Generative Adversarial Network (SRGAN) to improve visual quality to a perceptual resolution of 30 cm. Although true spatial refinement is not achieved, the sharper structural details enhance classification accuracy. The data set comprises 15,000 images—10,000 SRGAN-enhanced and 5000 augmented through rotation, zoom in, increasing brightness, noise addition, and blurring. A custom Convolutional Neural Network (CNN) has been trained to classify turbines as damaged or intact, achieving 95% accuracy, a 0.99 ROC-AUC, and a 0.95 F1 score. These results demonstrate that perceptually sharpened satellite data can effectively support automated wind turbine damage detection and predictive maintenance. The proposed framework also lays the groundwork for broader real-time and multimodal monitoring and cost-efficient applications in renewable energy systems. Full article

Against the backdrop of the global protein crisis and the textural limitations of alternative proteins, microorganisms are increasingly recognized as versatile structural materials to address these challenges. This review systematically analyzes three key microbial strategies: employing mycelial solid-state fermentation to engineer fibrous meat analogues; utilizing bacterial cellulose scaffolds to enhance the texture of both cultured meat and plant-based products; and applying synthetic biology to design tailored functional proteins. Existing studies confirm that mycelial fermentation significantly improves product texture and production sustainability. In parallel, bacterial cellulose provides highly biocompatible nanoscaffolds, while synthetic biology enables the efficient production and nutritional enhancement of complex animal proteins. Although challenges in scaling production and optimizing flavor persist, advanced bioprocess optimization and genetic engineering offer promising solutions. Future breakthroughs are expected to transition from structural mimicry to true functional creation, establish decentralized production networks, and advance dynamic 4D-printed foods, which will collectively contribute to a more sustainable and resilient global food system. Full article

The fusion of Artificial Intelligence and the Internet of Things (AI-IoT, also widely referred to as AIoT) offers transformative potential for smart cities, yet presents a critical challenge: how to process heterogeneous data streams from intelligent sensing—particularly crowd sensing data derived from citizen interactions like text, voice, and system logs—into reliable intelligence for sustainable urban governance. To address this challenge, we introduce the Intelligent Multimodal Ticket Processing System (IMTPS), a novel AI-IoT smart system. Unlike ad hoc solutions, the novelty of IMTPS resides in its theoretically grounded architecture, which orchestrates Information Theory and Game Theory for efficient, verifiable extraction, and employs Causal Inference and Meta-Learning for robust reasoning, thereby synergistically converting noisy, heterogeneous data streams into reliable governance intelligence. This principled design endows IMTPS with four foundational capabilities essential for modern smart city applications: Sustainable and Efficient AI-IoT Operations: Guided by Information Theory, the IMTPS compression module achieves provably efficient semantic-preserving compression, drastically reducing data storage and energy costs. Trustworthy Data Extraction: A Game Theory-based adversarial verification network ensures high reliability in extracting critical information, mitigating the risk of model hallucination in high-stakes citizen services. Robust Multimodal Fusion: The fusion engine leverages Causal Inference to distinguish true causality from spurious correlations, enabling trustworthy integration of complex, multi-source urban data. Adaptive Intelligent System: A Meta-Learning-based retrieval mechanism allows the system to rapidly adapt to new and evolving query patterns, ensuring long-term effectiveness in dynamic urban environments. We validate IMTPS on a large-scale, publicly released benchmark dataset of 14,230 multimodal records. IMTPS demonstrates state-of-the-art performance, achieving a 96.9% reduction in storage footprint and a 47% decrease in critical data extraction errors. By open-sourcing our implementation, we aim to provide a replicable blueprint for building the next generation of trustworthy and sustainable AI-IoT systems for citizen-centric smart cities. Full article

This study investigated the technological, nutritional, and sensory effects of incorporating soybean flour and radish leaves into steamed manti, with emphasis on moisture-loss kinetics, protein denaturation, true retention (TR), and relative nutrient density (RND). Four formulations were examined: potato control (PC), potato + soy (PS), greens control (GC), and greens + soy (GS). Steaming induced compositional increases in dry matter, ash, protein, and fat due to moisture reduction rather than absolute changes in solids. Greens-based formulations exhibited significantly lower moisture-loss and protein-denaturation rate constants, indicating stronger hydration stability and structural resistance during thermal processing. These kinetic advantages translated into higher TR values for protein and fat in GC and GS compared with potato-based samples. Soy flour substantially increased protein and lipid content and improved dough cohesiveness but did not influence thermal behavior or moisture-loss kinetics within the same matrix. When nutrient delivery was normalized to energy content, soy- and greens-enriched manti showed the highest RND values, reflecting a favorable combination of nutrient retention and lower caloric density. Sensory evaluation confirmed that soy enhanced textural attributes, while radish leaves contributed desirable juiciness and aroma. Overall, the combined use of radish leaves and soybean flour offers a sustainable approach to producing nutrient-dense, sensory-acceptable traditional foods while supporting the valorisation of leafy by-products. Full article

In external fertilisation, spawning synchrony is often mediated by pheromones. However, their chemical nature is rarely well-established; this is particularly true for bivalves. This study used an electrophysiological technique—the electro-osphradiogram (EOsG)—to investigate the spawning-inducing pheromone (SIP) in the Pacific oyster (Magallana gigas), a species of economic and environmental relevance. Recording the electrophysiological response of the osphradium to conspecific sperm milt and its fractions, we show that the SIP is multicomponent, likely proteinaceous—with at least one component linked to the spermatozoa and the other components in free solution—and all resistant to freezing. At least three active components are involved: one of about 35 kDa, one between 3 and 10 kDa and one of less than 3 kDa. All three, alone, evoke responses from the osphradium, but all three must probably be present to evoke the full biological response—gamete release—in the receiver. All three are likely polar; none were retained by a range of solid-phase extraction cartridges. We suggest that the EOsG will be useful to isolate and identify the individual components of the oyster SIP. Successful identification of the SIP will represent an important step towards more sustainable and efficient bivalve hatchery practices. Full article

Calendar anomalies are well documented in traditional capital markets, but their occurrence in the context of the rapidly growing ESG (Environmental, Social, and Governance) sustainable investment segment remains almost entirely unexplored. This is particularly true for specialised social indices, creating a significant gap in the literature. To fill this gap, this study analyses four calendar anomalies (January Effect, July Effect, October Effect and December Effect) in the STOXX Global ESG Social Leaders Index (2011–2024). Unlike standard statistical tests, we used wavelet transformation (Daubechies wavelet, db4), because it allows us to capture both short-term and long-term volatility patterns, which is particularly useful in the analysis of irregular seasonal phenomena. The results reveal that the anomalies studied do not show any consistent patterns. The January effect was unstable, the July effect showed some stability only in recent years, and the October effect correlated with periods of increased macroeconomic uncertainty. Although the December effect was observed in most periods, its absence during periods of strong growth suggests the influence of regulatory and structural factors. The results confirm that calendar anomalies in ESG indices are weaker and less predictable than in traditional benchmarks, highlighting the importance of integrating seasonality analysis with the assessment of fundamental ESG factors. This study makes an important methodological contribution through the use of wavelet analysis, and the findings suggest that future studies of seasonality should combine statistical analysis with an assessment of fundamental ESG factors. Full article

To address the challenges in wound healing, clinical management increasingly demands targeted, adaptive, responsive, and patient-centered strategies. This is especially true for wounds characterized by delayed healing and a high risk of infection. Advances in regenerative medicine and biomaterial technologies are fostering the development of multifunctional approaches that integrate tissue regeneration, antibacterial/antibiofilm activity, immunomodulation, and real-time monitoring. This paper surveys emerging platforms, including both natural and synthetic scaffolds, hydrogels enriched with platelet-derived growth factors, glycosaminoglycan mimetics, bioactive peptides (such as GHK-Cu and antimicrobial peptides), nanoscaffolds, and stimuli-responsive systems. The paper also explores cutting-edge technologies such as water-powered, electronics-free dressings that deliver localized electrical stimulation; biodegradable bioelectric sutures that produce self-sustained mechano-electrical signals; and sensory bandages that monitor pH, moisture, temperature, and bacterial contamination in real-time while enabling on-demand drug release with pro-regenerative, antibacterial, and other therapeutic functionalities. Further therapeutic approaches include natural matrices, exosomes, gene editing, 3D bioprinting, and AI-assisted design. Particular attention is paid to orthopedic applications and orthopedic implant infection. A brief section addresses the still unresolved challenge of articular cartilage regeneration. Interdisciplinary innovation, integrating insights from molecular biology through engineering, plays a central role in translating novel strategies into tailored, clinically effective wound management solutions. Full article

The 1992 cold case homicide of “Ina Jane Doe” illustrates how an interdisciplinary team worked to identify the decedent using a combined approach of skeletal re-analysis, updated forensic art informed by anthropologists’ input, archival research, and forensic investigative genetic genealogy. The original forensic art for “Ina Jane Doe” showed an over-pathologization of skeletal features and an inaccurate hairstyle; however, the case gained notoriety on internet true crime forums leading to speculation about the decedent’s intellectual capacity and physical appearance. The “Ina Jane Doe” case demonstrates the importance of advocating for skeletal re-analysis as more robust methods and technologies emerge in forensic science, as well as the impact of sustained public interest in cold cases. In this case, continuous public interest and online speculation led to anthropologists constructing a team of experts to correct and revise narratives about the decedent. Forensic anthropologists’ role in cold cases may include offering skeletal re-analysis, recognizing and correcting errors in the original estimations of the biological profile, searching for missing person matches, and/or working collaboratively with subject matter experts in forensic art, odontology and forensic investigative genetic genealogy. Full article