Search Results (30,066)

Urban resilience (UR) is shaped by multiple interacting factors, yet existing studies have paid limited attention to the differentiated nonlinear and interactive mechanisms across different resilience dimensions. Based on panel data from 110 prefecture-level and above cities in the Yangtze River Economic Belt (YREB) from 2015 to 2024, this study adopts a four-dimensional framework covering social, economic, ecological, and infrastructure resilience. Spatial analysis and the XGBoost-SHAP model are combined to examine the spatiotemporal evolution, key drivers, nonlinear responses, turning point characteristics, and factor interactions of overall UR and its four dimensions. The results show that overall UR increased steadily, while the four dimensions followed distinct evolutionary trajectories: economic and infrastructure resilience improved most rapidly, ecological resilience increased steadily, and social resilience improved relatively slowly. The importance and effects of key drivers also varied across overall resilience and its four dimensions. Major factors, including technological investment, non-registered population, unemployment insurance coverage, land use, and natural population growth, exhibited distinct nonlinear responses and turning point characteristics, with their effects changing across different variable levels. Furthermore, significant interactions were identified among population and industrial structure, population and transportation, industry and technology, and industry and social security across different resilience dimensions. Overall, UR in the YREB is characterized by differentiated development, nonlinear responses, nonlinear transition patterns, and joint influences of multiple factors. Full article

Blockchain is one important building blocks of the Internet of the future, called Web3. The Blockchain technology supports a wide range of applications, spanning from Smart Cities and automotive industries, from agriculture to energy. The healthcare sector, in particular, has experienced a profound impact from blockchain-based technologies, paving the way for the development of true digital healthcare systems. By enabling secure and immutable data storage, and facilitating the sharing of this information among all nodes possessing a local copy of the distributed ledger, blockchain plays a vital role in the analysis of healthcare data. This paper provides a comprehensive survey of the main blockchain platforms utilized in the digital healthcare, integrated with a comparative analysis. In addition, the implementation of Innovative permissioned Blockchain for eHealth (IBEH) is presented and discussed in detail. IBEH addresses key challenges in digital health data management, including secure and controlled access to sensitive health information, ensuring data integrity and traceability, and secure sharing between different healthcare institutions and organizations. This is made possible by decoupling the application and blockchain layers and by a flexible, customizable, and easily deployable infrastructure. IBEH integrates the application-oriented and embedded layer with that of a blockchain network built with the MultiChain platform, which uses smart contracts with permissions, REST APIs, and RPC calls. The main features and its associated smart contracts within the healthcare domain are discussed. Finally, the analysis of performance is provided. Full article

This study examines how firms convert dynamic capabilities into green innovation (GI) by developing green core competence (GCC). Drawing on resource-based theory and dynamic capability theory and incorporating core competence logic, the study investigates the direct effects of absorptive capacity (AC) and technological capability (TC) on GI, the mediating role of GCC, and the moderating role of green organizational culture (GOC) in the capability-to-competence process. Survey data were collected from 324 managers in China’s electronic information manufacturing industry, a technology-intensive sector facing pressures for technological upgrading and environmental improvement. Partial least squares structural equation modeling was used to test the proposed mediation and moderation model. The results show that AC and TC both positively affect GI and GCC, while TC has stronger effects. GCC positively affects GI and partially mediates the relationships between AC and GI and between TC and GI. GOC further strengthens the positive effects of AC and TC on GCC. These findings suggest that GI depends not only on the possession of dynamic capabilities but also on their conversion into a green-specific competence base. The study offers a contextualized explanation of how technology-intensive manufacturing firms organize internal capabilities to support sustainable manufacturing practices. Full article

In the feed industry, energy efficiency is typically assessed using aggregate consumption indicators (kWh/t) or the efficiency of the electric motor in isolation, which makes it impossible to pinpoint where energy is lost along the conversion chain. This study formalizes a three-phase methodology that breaks down the useful electrical efficiency of each Significant Energy Use (SEU) into its successive stages—motor, transmission, and process—based on field-measurable variables, linking electrical conversion with the useful power model of each machine. The process efficiency of hammer mills is normalized using the Swiss Institute of Feed Technology (SFT) reference index; this constitutes a load-sensitive performance ratio, not an absolute thermodynamic efficiency. Its demonstration at the “Piensos Cienfuegos” plant (Cuba), using data from a 2015 industrial campaign, yielded overall efficiencies of 72% for the bucket elevator—conditional on the adopted nominal throughput and nameplate power factor, with a plausible range of 43–89% under coupled systematic-bias scenarios—26–28% for the hammer mills—despite motors operating at 90–92% efficiency—and 17.3% for the screw conveyor (24.7% at the processing stage). Grinding efficiency fell from 31.1% to 9.7% as the throughput of Mill III was reduced from 16 to 5 t/h, corresponding to an increase in normalized shaft-specific energy consumption from 3.50 to 11.2 kWh/t. The expanded measurement uncertainty was 11.8% ($k=2$), and systematic sources of uncertainty were quantified through a sensitivity analysis. The scope of this work is diagnostic: no retrofit or operational intervention was implemented at the plant, and consequently no before–after energy savings are measured or claimed. The reported efficiencies characterize the baseline condition and identify where intervention would be effective. Full article

Sourdough fermentation is an important technological process in bread production, influencing acidification, product quality, and storage stability. The present study developed and comparatively evaluated two-strain and multi-strain bacterial starter cultures for application in different flour matrices and under semi-industrial bread-making conditions. The starter cultures comprised selected strains of Lactiplantibacillus plantarum, Lacticaseibacillus rhamnosus, Levilactobacillus brevis, Limosilactobacillus fermentum, Fructilactobacillus sanfranciscensis, and Propionibacterium freudenreichii subsp. shermanii. Baker’s yeast was added separately during final dough preparation and was not part of the bacterial starter combinations. Starter performance was assessed through viable cell counts, titratable acidity, in vitro antimicrobial activity, dough fermentation time, bread volume, descriptive sensory evaluation, and the onset of visually detectable microbial spoilage under the tested storage conditions. The selected combinations adapted to the investigated flour matrices, maintained high viable cell concentrations, supported acidification, and were successfully applied in semi-industrial bread production. Several formulations showed favorable technological and descriptive sensory characteristics and delayed the appearance of visible bacterial and fungal spoilage compared with the corresponding controls. Overall, the findings demonstrate the practical potential of the developed multi-strain starter cultures for application across different flour matrices and provide a strong basis for further technological refinement and mechanistic characterization of these sourdough systems. Full article

Fungal bioleaching, as a green and sustainable technology for metal recovery, demonstrates unique advantages in addressing growing global metal demand and utilizing secondary resources. This review systematically summarizes recent progress and technological advances in fungal bioleaching for metal recovery. Fungi solubilize metals through three core mechanisms, acidolysis, complexolysis, and redoxolysis, mediated by organic acids (citric, oxalic, gluconic), while cell wall functional groups enable biosorption. Most frequently used genera in modern bioleaching (Aspergillus, Penicillium, Trichoderma) have achieved remarkable recoveries from e-waste (Cu, Li, Co up to 100%), rare earth elements (consortia up to 76%), tailings, and spent catalysts. Optimization of key parameters (pH, temperature, pulp density) and application of intelligent strategies (response surface methodology, machine learning) have further enhanced leaching efficiency. Strain engineering and synthetic biology offer new avenues for constructing hyper-efficient strains. Despite remaining bottlenecks such as slow kinetics and scale-up difficulties, fungal bioleaching holds broad industrial prospects for advancing the circular metal economy and the green metallurgical transition. Full article

Digital infrastructure (DI) plays a dual role in the low-carbon transition. It supports economic operation but also consumes substantial energy. This study explores DI’s impact on carbon emission efficiency (CEE) using data on 41 cities in China’s Yangtze River Delta from 2011 to 2024. The methods used in this study include a two-way fixed effects model, mediation analysis, a panel threshold model, and a spatial Durbin model. The results show that the impact of DI on CEE is U-shaped. Industrial upgrading and technological innovation are the potential channels through which DI affects CEE. Energy efficiency has a single threshold value of 8.533. DI enhances CEE when energy efficiency exceeds this threshold. Spatial analysis indicates that both the direct and indirect effects of DI follow a U-shaped pattern. Heterogeneity analysis indicates that the environmental impact of DI varies depending on resource endowments, policy environments, and economic development levels. This study provides insights for global urban agglomerations to balance digital transformation and sustainable development. Full article

Recent advances in non-thermal and hybrid extraction technologies—such as pulsed electric field (PEF), ultrasound-assisted extraction (UAE), microwave-assisted extraction (MAE), and enzymatic treatments—have been widely reviewed in the context of general food processing. However, the current literature lacks a critical evaluation of how these modalities reshape the molecular fingerprints, authenticity markers, and cultivar-specific phenolic baselines of olive products, particularly within the Greek production landscape. Existing studies primarily emphasize extraction yield, operational parameters, or sustainability aspects, leaving important gaps regarding molecular consequences, including shifts in secoiridoids, lignans, pigments, oxidation markers, and the composition of by-products such as olive mill wastewater and pomace. This commentary addresses these gaps by integrating emerging extraction technologies with Greece’s omics-enabled analytical capacity (FoodOmicsGR_RI), highlighting how processing innovations may influence authenticity claims, phenolic integrity, and circular economy valorization routes. We discuss mechanistic pathways, molecular-level effects, and technology-specific limitations and propose a structured framework for developing national databases of processing-induced molecular markers. By linking technological mechanisms with cultivar-dependent molecular responses, this commentary aims to support coordinated Greek research efforts toward robust authenticity assurance, sustainable processing, and high-value valorization of olive by-products under evolving climatic and industrial pressures. Full article

Amaranth (Amaranthus caudatus L.) is an Andean pseudocereal with a nutritional profile characterized by its protein, dietary fiber, and bioactive compound content, adequate balance of essential amino acids, and the presence of bioactive compounds with antioxidant, anti-inflammatory, and cardiometabolic properties. This review analyzes the main processing methods applied to amaranth, including milling, roasting, popping, rolling, extrusion, germination, fermentation, encapsulation, and component isolation, describing how these technologies modify its nutritional, functional, and technological properties. It also examines its applications in various food categories, such as baked goods, extruded snacks, fermented beverages, symbiotic foods, and gluten-free formulations, highlighting its potential as a functional food ingredient for developing functional foods and nutraceuticals. Furthermore, this study discusses the technological and industrial challenges associated with its processing, including structural, sensory, and scalability limitations, within the context of the growing global demand for healthy and sustainable foods. Finally, the study identifies knowledge gaps and research priorities to optimize processing conditions, improve sensory acceptability, and enhance industrial value, thereby supporting further evaluation of its integration into food production systems. Full article

Background: Crude oil refinery waste sludge (COWS) ranks among the most compositionally complex and ecotoxicologically hazardous industrial residues. Although bulk total petroleum hydrocarbon (TPH) and summed polycyclic aromatic hydrocarbon (PAH) removal are routinely reported, the metabolite-level biochemical fate of individual petrogenic compounds, spanning ring dihydroxylation, catechol cleavage, and entry into central carbon metabolism, remains largely unmapped under co-composting with diverse animal manures. Objectives: This study aimed to construct a metabolite-resolved, microbially anchored biochemical fate map of crude oil sludge during co-composting. Methods: Aerobic microcosms combining crude oil sludge, garden soil, and a wood-chip bulking agent were amended separately with poultry, horse, cow, or swine/pig manure alongside an unamended control and then incubated at 22 °C for 300 days. Analyses integrated untargeted gas chromatography-mass spectrometry (GC-MS) metabolomics, targeted PAH quantification (EPA Methods 3541/8270), 16S rRNA gene amplicon sequencing (Illumina MiSeq, V1–V3, paired-end 300 bp), physicochemical monitoring, and culture-dependent isolation, with National Institute of Standards and Technology (NIST) Mass Spectral library annotation. Results: GC-MS resolved 1169 metabolite features across 17 samples, comprising 538 annotated compounds within 11 chemical classes and 631 unknowns, of which 151 recurred in at least 10 samples. Petrogenic markers (n-alkanes C₁₄–C₃₆, hopanoids, steranes, and alkylated dibenzothiophenes) and ring-cleavage intermediates (2-hydroxyfluorene, 1,4-naphthoquinone, phenanthrene-methanol, benzenediols, butanedioic acid, fatty alcohols C₁₆–C₂₀) elucidated a four-stage degradation cascade consistent with Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways map01220 and map00624. PAH mean-removal ranked swine/pig (88.0%) > horse (87.0%) > poultry (80.5%) > cow (79.1%) > control (68.2%). Sequencing recovered 2969 operational taxonomic units (OTUs) enriched in Pseudomonas, Achromobacter, Stutzerimonas, Dietzia, Gordonia, and Mycobacterium, with Pseudomonas dominating high-removal systems; respiration peaked at 18.7 mg CO₂-C g⁻¹ in poultry treatments. Conclusions: This work establishes a metabolite-resolved map linking hydrocarbonoclastic taxa to separate degradation steps. The co-occurrence of oxygenated PAH intermediates with decreasing parent PAH concentrations serves as an indicator of transformation processes and may assist in identifying potential residual-risk signals, thereby supporting remediation evaluation and process optimization. Full article

The transition from conventional silica nanoparticle (SiNP) production based on purified alkoxysilanes and high-temperature flame hydrolysis of silicon tetrachloride to renewable and waste-derived silicon resources requires more than precursor substitution. It requires a mechanistic understanding of how feedstock mineralogy, silicon speciation, impurity chemistry, and processing history propagate through dissolution, nucleation, condensation, gelation, aging, drying, and pore evolution to determine material performance, environmental burden, and manufacturing feasibility. Although previous reviews have established the technical feasibility of producing silica from secondary resources, their predominant organization by feedstock, synthesis route, or application provides limited ability to explain why nominally similar processes generate materials with markedly different structural and functional properties. This review addresses these through a resource-pull, feedstock-to-function framework that links resource chemistry and process design to critical material attributes, application-specific specifications, sustainability, and scale-up requirements. Agricultural residues, industrial by-products, geothermal resources, waste glass, and fluorosilicate streams are critically compared according to silicon form and phase, reactivity, impurity profile, compositional variability, purification demand, and attainable product quality. Particular attention is given to waste-derived alkaline silicate systems, in which molecular, oligomeric, and colloidal silica coexist and therefore require characterization beyond bulk SiO₂ concentration. Established and emerging processing strategies, including controlled combustion and alkaline extraction, alkali fusion, ambient-pressure drying, microwave and mechanochemical activation, biogenic and biomimetic templating, and continuous processing, are evaluated according to their mechanistic effects, technological maturity, structural control, and demands for energy, reagents, water, solvents, effluent treatment, and capital. Across these routes, gelation and aging emerge as critical transfer stages through which feedstock composition is translated into network connectivity, pore architecture, shrinkage behavior, and ultimately functional performance. Evidence from secondary-source aerogels further shows that properly controlled waste-derived systems can attain BET surface areas of approximately 350–500 m² g⁻¹, within the textural range of many alkoxide-derived materials, indicating that feedstock variability, impurity management, and process control are more important constraints than an inherently lower performance ceiling. On this basis, this review proposes a minimum evidence framework comprising feedstock traceability, intermediate-speciation and colloidal characterization, silicon mass balance, gelation and aging metrics, application-specific qualification criteria, performance-normalized life cycle and techno-economic assessment, process analytical control, and staged pilot validation. Collectively, these principles provide a mechanistically grounded basis for moving sustainable silica synthesis beyond isolated proof-of-concept demonstrations toward reproducible, scalable, application-matched, and commercially credible manufacturing platforms. Full article

Traditional fermented foods are important reservoirs of wild microorganisms with technological, sensory, protective, and functional potential. However, the performance of these isolates in controlled or compositionally different food matrices remains fragmented across microbial groups and food systems. This systematic review synthesized evidence on using wild microbial isolates from traditional fermented foods and beverages as starters or potential probiotic cultures. The conducted a systematic search exclusively in Scopus, following PRISMA 2020, to include original research articles published between 2021 and 2026, yielding 68 eligible studies. The included studies were analyzed by geographical origin, isolation source, recipient matrix, microbial group, and key physicochemical, technological, sensory, microbiological, nutritional, and functional outcomes. The evidence was organized into wild yeasts and filamentous fungi, lactic acid bacteria (LAB), Bacillus isolates, and defined mixed microbial cultures. Across food matrices, microbial incorporation frequently accelerated acidification, shortened fermentation time, modified volatile compound profiles, and altered texture, color, enzymatic activity, or substrate utilization. Sensory responses improved aroma, flavor, texture, and acceptance, whereas others produced profiles that deviated from the characteristic product and reduced overall liking. Functional effects included increases in phenolic compounds, antioxidant activity, GABA, folate, peptides, and resistant starch, along with reductions in phytates, nitrites, biogenic amines, aflatoxins, and nondigestible oligosaccharides. Researchers also reported antimicrobial, antifungal, protective, and preliminary probiotic properties. Defined mixed microbial cultures often provided complementary metabolic effects, although true synergistic interactions were demonstrated only sporadically. Overall, wild isolates from traditional fermentations represent promising resources for food bioprocessing; however, their performance varies widely across strains, recipient matrices, experimental conditions, and outcomes evaluated. Consequently, their application requires strain–matrix validation, comprehensive sensory assessment, safety characterization, and evaluation under processing and storage conditions relevant to industrial production. Full article

The European Union’s Carbon Border Adjustment Mechanism (CBAM) introduces significant implications for sustainable trade and industrial decarbonization for non-EU industrial exporters. As a major cement supplier to the EU, Turkey faces key economic and environmental transition risks under this framework. This study quantifies the compliance exposure of Turkey’s cement exports to the EU by 2030 within an industrial sustainability framework across multiple carbon pricing, domestic policy, and decarbonization scenarios. Incorporating time-series forecasting, benchmark emissions intensities, and the operational 2026 CBAM regulatory framework alongside Turkey’s Climate Law No. 7552, the study evaluates compliance costs relative to export revenues. Results indicate that under business-as-usual conditions, without decarbonization or domestic carbon pricing, CBAM surcharges would equal 154% of total export revenue by 2030. Accounting for the 2030 CBAM phase-in factor (48.5%), compliance costs remain substantial at 75% of revenue. Establishing a national Emissions Trading System (TR ETS) under Climate Law No. 7552, with a domestic carbon price of €20/tCO₂e, reduces residual CBAM border payments to 44% of revenue, while a €50/tCO₂e domestic price offsets border surcharges entirely, redirecting carbon revenues to an industrial green transition fund. Furthermore, achieving a 41% reduction in direct cement emissions intensity lowers total carbon compliance costs to 21–26% of revenue. These findings demonstrate that domestic carbon pricing paired with dedicated resource allocation for low-carbon technologies is essential to advance long-term industrial sustainability, preserve export competitiveness, and prevent pass-through risks to downstream construction sectors. Full article

The textile dyeing and printing (TDP) industry in Zhejiang Province faces significant pressure to reduce conventional pollutants and carbon emissions. Dyeing and finishing (DF) are key links in energy consumption and pollutant emissions in the TDP industry. However, the trade-offs between pollution reduction and carbon mitigation remain poorly understood. This study evaluated five synergistic technology pathways using a hybrid life cycle assessment (LCA) approach. The pathways included low-carbon energy substitution, waste heat recovery, advanced wastewater treatment, intelligent process control, and integrated application. The IMPACT 2002+ method was used to quantify 7 environmental impact categories. The results showed that no single technology pathway achieved optimal performance across all categories. Scenario 3 (advanced wastewater treatment) reduced eutrophication potential by 54.97% but increased global warming potential by 18.00%. Scenario 5 (integrated application) achieved the best overall performance. It reduced non-renewable energy consumption by 30.90%, global warming potential by 32.69%, acidification potential by 26.08%, and eutrophication potential by 40.00%. The synergy coefficient of Scenario 5 was 1.08, indicating strong pollution-reduction synergy. Extrapolation to the provincial level showed reductions of 40% for COD, 39.76% for ammonia nitrogen, 40.78% for SO₂, 10.67% for NOx, and 14% for VOCs. These findings demonstrate that systematic technology integration can resolve the trade-offs inherent in individual pollution control measures under the conditions evaluated in this Zhejiang-based case study. This study provides scientific guidance for technology selection and policy formulation in the DF industry. Full article

Reproductive efficiency determines the economic benefits of the sheep industry, yet the molecular mechanisms underlying prolificacy remain incompletely understood. To investigate transcriptomic differences associated with sheep prolificacy, we performed Oxford Nanopore Technologies (ONT) full-length transcriptome sequencing on ovarian tissues collected during the estrous phase from high-prolificacy Small-tailed Han sheep and comparatively lower-prolificacy Wadi sheep (n = 3 biological replicates per group), with an average sequencing depth of approximately 6.3 Gb per sample. With screening thresholds of |log2FoldChange| > 1 and p < 0.05, transcriptomic analysis identified 457 differentially expressed genes (DEGs; 207 upregulated, 250 downregulated) and 1033 differentially expressed transcripts (DETs). In total, 55% of DETs exhibited expression changes independent of overall gene abundance, highlighting the potential role of alternative splicing (AS)-mediated post-transcriptional regulation. We detected 55,478 AS events and screened 96 significant differential alternative splicing (DAS) events (|∆PSI| > 0.1, p < 0.05) across 78 differentially spliced genes (DSGs). Functional enrichment showed DEGs were primarily associated with reproduction pathways (e.g., TGF-β, MAPK, and ovarian steroidogenesis), whereas DSGs were enriched in p53 signaling and ribosome pathways. Protein–protein interaction network analysis highlighted highly connected candidate genes, including INHBA, CYP19, TNFAIP6, TK1, RRM2, BIRC5, BCL2, ISG15, PCLAF, and MX1, potentially involved in follicular development and reproductive signaling. The results of this study enrich the full-length transcriptomic resources for Small-tailed Han sheep and Wadi sheep, and provide candidate genes and transcriptomic resources for further functional investigation of sheep prolificacy. Full article