ABSTRACT Glutathione is an important biomarker for human health. How to effectively detect glutathione has attracted much attention in the field of biomedical sciences. The purpose of this study is to develop a convenient and stable method for detecting glutathione. Here, the fluorescent fiber sensor with a hollow structure was used as a technology strategy. Through adjusting the solvent ratio of the spinning solution and components of the skin‐core structure during wet spinning, significant improvements were observed in photoluminescence and hydrophilicity. The uniform skin layer of p‐terphenyl copolymer enhanced the fluorescence emission intensity of the fiber sensor by 52%. Meanwhile, the hydrophilic core layer of polyvinyl alcohol made the water contact angle of the hollow fibers reduce from 109.8° to 60.1°. This sensor was used for glutathione detection, and its results showed that the limit of detection could reach 0.018 μg/mL at 288 K. In addition, the fiber sensor can be reused 5 times via ultrasonic cleaning. The improvements in the sensitivity and stability of the sensor are attributed to the increased fluorescence response and capture ability of the hollow fiber toward the target. This work can serve as an important reference for the material, strategy, and application of the sensor on glutathione detection.

Climate change, pollution, and the overexploitation of water resources have intensified global water scarcity, particularly in arid and semi-arid regions. This systematic literature review analyzes 458 peer-reviewed articles published between 2015 and 2025 to identify the main IoT-based technological strategies applied to the monitoring and management of surface and groundwater systems. Following PRISMA guidelines, the studies were categorized into four thematic areas: IoT applications in aquatic environments, data transmission technologies, algorithms for process optimization and data analysis, and sensor fusion techniques. The results show that LoRa is the most widely adopted transmission technology due to its long-range coverage, scalability, and low energy consumption. Emerging innovations such as remote IoT, satellite-assisted sensing, and digital twins are also gaining relevance as transformative tools for real-time hydrological monitoring. Overall, the findings reveal a shift toward more integrated and intelligent IoT frameworks and include a recommended architecture for aquatic systems. Despite these advancements, the review highlights the need for more accessible, affordable, and interoperable IoT solutions to enable broader adoption, particularly in resource-constrained regions, and to support sustainable water resource management.

Establishment and application of the lithic technology strategy selection model for Late Paleolithic

ABSTRACT This research examines the impact of green servitization, Industry 4.0 adoption, absorptive capacity and eco‐innovation capability on green firm performance in the Chinese manufacturing sector, a crucial yet underexplored context due to its significant environmental influence because of rapid industrialization. The data was collected from 450 mid to senior‐level managers in Chinese manufacturing firms, and it was analyzed using partial least squares structural equation modeling (PLS‐SEM). The outcomes show that both green servitization and digital transformation positively impacted eco‐innovation and absorptive capabilities, significantly improving green firm performance. Eco‐innovation capability emerged as a stronger mediator than absorptive capacity, and the interconnection between green servitization and Industry 4.0 shows a novel integration of digital and green strategies that extend dynamic capabilities theory. However, the moderating role of industry type was insignificant; high‐tech firms showed greater capability development. The research contributed by examining a moderated mediation model that connects green servitization, digital transformation, and sustainability outcomes in an emerging economy, offering actionable insights for firms and policy makers for achieving competitive and sustainable performance through integrated environmental and technological strategies.

To evaluate the implementation fidelity of a blended intervention aimed at optimizing physical recovery following gastrointestinal or lung cancer surgery, involving patients, dietitians, and physiotherapist. Implementation fidelity was evaluated alongside a Randomized Controlled Trial (RCT) investigating the effect of the Optimal Physical Recovery After Hospitalization (OPRAH) intervention. For three months post-discharge, dietitians and physiotherapists remotely coached patients using data on physical activity and protein intake collected via a smartphone application and activity tracker. Carroll's framework guided the evaluation of the intervention using both quantitative and qualitative data. Patient adherence to wearing the activity tracker and monitoring protein intake was high. All patients received coaching from at least one of the two allied healthcare professionals. The frequency of coaching varied between patient populations, with the highest frequency for patients after gastrointestinal surgery. A negative moderating factor was that the OPRAH intervention was difficult to implement in the daily work routine. Positive moderating factors included positive responsiveness of physiotherapists, dietitians, and patients, well-functioning technology, and facilitation strategies that effectively engaged physiotherapists and dietitians. As adherence to the intervention was high, the observed effects of the RCT can be more confidently attributed to the OPRAH intervention. The main challenge for long-term implementation is integrating the intervention into routine clinical practice. OPRAH can support cancer survivors during a vulnerable phase of recovery, with the potential to improve physical outcomes. Sustainable implementation requires embedding the intervention into standard care and maintaining close collaboration among healthcare providers.

Plant-based milk alternatives (PBMA) have emerged as popular substitutes for cow milk, driven by health, environmental, and ethical considerations. However, their ability to replicate the sensory and physicochemical properties of dairy remains a critical challenge for industry. This review critically examines the extent to which almond, soy, and oat PBMA replicate key sensory attributes of ultra-high temperature (UHT) full cream cow milk, focusing on appearance, texture, and flavour. Furthermore, it explores the relationship between these sensory attributes and the physicochemical properties of PBMA to elucidate the underlying reasons for the observed differences. A comparative analysis of compositional differences reveals fundamental limitations linked to plant protein functionality, carbohydrate structure, fat composition, and mineral fortification, all of which contribute to disparities in creaminess, mouthfeel, colour, and flavour. Technological strategies such as particle size reduction, enzymatic hydrolysis, and flavour masking have improved specific attributes, yet no PBMA fully replicates the holistic sensory experience of dairy. Emerging approaches, including blended formulations, precision fermentation, and artificial intelligence (AI)-driven optimisation, show promise in narrowing these gaps. Nonetheless, a complete replication of UHT cow milk remains elusive, highlighting the need for continued research and innovation to either approximate dairy properties more closely or enhance PBMA’s unique qualities to drive consumer acceptance.

Sample-to-answer nucleic acid detection using a fully integrated microdevice for nucleic acid extraction and smartphone-based droplet digital RPA/CRISPR.

Moran process stochastic evolutionary game model for cooperative innovation strategies in green technology

Insights into enhancing microplastics adsorption of sludge-based biochar by APTES grafting: Combining individual binding and aggregation confinement.

Data-driven classification of packaged products commercialized in Uruguay: Insights for the debate on processed food classification systems.

Aim . The work aimed to develop a methodological approach to assessing the formation of an innovative code for regional economic development, based on the technological modernization of Russian society. Objectives . The work seeks to identify the stages of formation of an innovative code for economic development in industrial regions within their economic genotype; to develop tools and evaluate the formation of an innovative code for regional economic development. Methods . For assessment of the formation of an innovative code, the author proposes using comprehensive indicators reflecting the effectiveness of the triple helix in the context of institutional interaction trajectories, namely an innovation policy quality index, an innovation activity index, and an innovation competencies index. The study period was 2008–2023. The coherence and discontinuities of the triple helix that form the innovative code are demonstrated using a correlation analysis, which identifies the extent to which changes in the variable indicating the performance of one economic transformation trajectory are consistent with changes in the performance variable of another trajectory. Results . The innovative code of regional economic development is still in its nascent stage within the economic genotype of industrialized regions. This is evidenced by the weak development of innovation activity in industrialized regions; gaps in the triple helix of institutional interactions that drive variability in the economic legacy of regions; and the lack of a positive impact of innovative transformations on the dynamics of the gross regional product (GRP) of the constituent entities of the Russian Federation. Conclusions . Industrially developed regions generate impulses for technological development that have not yet been transformed into an innovative code capable of driving variability in the economic legacy of regions and ensuring the evolution of regional economic development as a whole. The transformation process can be accelerated by strengthening the coordination of administrative, industrial, technological, and scientific research trajectories, ensuring the integrity of the helix of institutional interactions among the basic carriers of the regions’ economic genotype. The results obtained can be used by state and local governments to develop new and improve existing scientific and technological policy implementation strategies in industrial regions aimed at enhancing the innovative development of manufacturing industries, as well as spatial development strategies for Russia as a whole.

With the acceleration of urbanization and modernization, rural cultural heritage is facing unprecedented challenges. In order to effectively protect and inherit these precious cultural resources, this paper systematically analyzes the application strategies of digital technology in the protection of rural cultural heritage and puts forward a comprehensive solution from three dimensions: technical empowerment, policy guarantee, and community participation. In this study, the mixed research method is used to analyze the related data of heritage projects through structural equation modeling (SEM) and long-term and short-term memory network (LSTM) models. The authors found that there was a significant correlation between technical accuracy and protection effect (r = 0.78 * * *). Community participation has the strongest explanatory power to economic benefits (r=0.92***), and it may have an indirect impact through the path of “cultural identity → product innovation” (β=0.68). This study provides theoretical support and practical reference for the sustainable development of rural cultural heritage.

Hydroponics presents a promising pathway for sustainable food production in regions facing land scarcity, water limitations, and climate stress; however, its high energy demand raises concerns regarding long-term economic and environmental feasibility when powered by conventional electricity sources. This review aims to critically examine the role of renewable energy in improving the sustainability, efficiency, and resilience of hydroponic systems. A systematic review approach was used, drawing from recent literature published between 2020–2025 across Google Scholar, Scopus, IEEE Xplore, and ScienceDirect, with inclusion criteria focused on renewable-powered hydroponics, system performance metrics, and climate-resilient farming applications. The findings indicate that integrating renewable energy technologies such as solar, wind, biomass, and hybrid energy systems can improve hydroponic efficiency and operational sustainability. Reported benefits include up to ~92% energy self-sufficiency, 30–35% reductions in operating energy costs, and CO₂ emission reductions of up to ~65% compared to grid-powered systems. Additionally, the review highlights how advances such as LED lighting, IoT automation, AI-based energy management, and smart sensors further optimize energy efficiency and resource use. This work contributes uniquely by bridging hydroponic agronomy with renewable energy system design, offering comparative insights across energy configurations, performance trade-offs, and feasibility in different climatic regions. The review also identifies current research gaps related to storage limitations, cost barriers, and scalability. Overall, the findings provide a framework to support researchers, policymakers, and practitioners in advancing off-grid, climate-resilient, and resource-efficient hydroponic agriculture. These insights may guide future technological development and policy strategies toward carbon-neutral controlled-environment farming.

Aiming at the problems of insufficient environmental perception capability of autonomous mobile robots and low multi-modal data fusion efficiency in the complex underground coal mine environment featuring low illumination, high dust, and dynamic obstacles, a reliable passable region identification method for autonomous mobile robots operating in underground coal mine is proposed in this paper. Through the spatial synchronous installation strategy of dual 4D millimeter-wave radars and dynamic coordinate system registration technology, it increases point cloud density and effectively enhances the spatial characterization of roadway structures and obstacles. Combining the characteristics of infrared thermal imaging and the penetration advantage of millimeter-wave radar, a multi-modal data complementary mechanism based on decision-level fusion is proposed to solve the perceptual blind zones of single sensors in extreme environments. Integrated with lightweight model optimization and system integration technology, an intelligent environmental perception system adaptable to harsh working conditions is constructed. The experiments were carried out in the simulated tunnel. The experiments were carried out in the simulated tunnel. The experimental results indicate that the robot can utilize the data collected by the infrared camera and the radar to identify the specific distance to obstacles, and can smoothly achieve the recognition and marking of passable areas.

Effective measurement, monitoring and verification (MMV) strategies for Geological Carbon Storage (GCS) and other geological engineering technologies must consider subsurface uncertainties when determining the spatial coverage and resolution of a monitoring programme. MMV of any future leakage to surface or near-surface receptors requires understanding uncertainties in the top 0-100 metres, and it is possible that optimal sites for storage, may well have non-optimal near-surface geology for characterisation of shallow leakage risk. Here we present a multiscale case study of the difficulties in site characterisation at such a site. In this paper, we compare field observations from a 45km section of coastal outcrops and an inland limestone quarry; to core and well logs from the Otway International Test Centre (OITC) CO 2 injection project. We find that the type of faulting varies strongly with location, changing from reverse at the coast, to strike-slip at the OITC. The observed variability in fault type across this region highlights the need to be cautious when using nearby faults which outcrop at the surface as indicators of local fault architecture, as any variability will impact shallow fluid migration and leakage. This work highlights the need for better understanding of near-surface processes affecting fault zones, and better methods of geophysical characterisation of the shallow subsurface, particularly as there is a scale up of GCS projects worldwide.

Aqueous zinc-ion batteries are attractive for large-scale energy storage but are limited by dendrite growth and side reactions at the Zn anode. In this work, we design a functional coating strategy using Zn-Schiff base complexes to overcome these issues. The complexes, featuring abundant coordination sites and ionic conductivity, modulate Zn2+ transport and promote desolvation, ensuring uniform deposition. Three complexes-Zn-salen, Zn-salpn, and Zn-salbn-were developed, among which Zn-salbn exhibited the best performance. Symmetric Zn||Zn cells with Zn-salbn@Zn anodes cycled stably for 2310 h at 1 mA cm-2/1 mAh cm-2 with a low overpotential of 31.9 mV, while delivering a high average Coulombic efficiency of 99.7%. In full cells, pairing Zn-salbn@Zn with V2O5 enabled 83.1% capacity retention after 1000 cycles at 0.5 A g-1. This work not only demonstrates the effective protection of Zn metal anodes by Schiff base complexes, but also provides new insights into the application of interfacial chelation strategies in next generation high performance energy storage technologies.

Loss of active lithium in the first cycle, due to SEI formation or displacement reactions permanently lowers the Lithium-ion cell energy density. Prelithiation employs an external, sacrificial source of lithium to offset these losses allowing more efficient use of lithium from the cathode and raising the cell energy density. There are many proposed pre-lithiation techniques such as roll-to-roll electrochemical baths, sacrificial salts, vacuum deposition and lithium sputtering. (1) None of these pre-lithiation methods have been scaled beyond the laboratory or pilot scale due to safety, cost, manufacturing inefficiencies or cell performance issues. Currently, the pre-lithiation method that has shown the most promise is the addition of lithium metal to the prefabricated anode (2), (3), (4). Because of its high capacity, lithium metal causes a negligible increase in cell mass and volume. In comparison, when sacrificial salts are used, the energy density can decrease due inactive phases remaining after lithium extraction.LIOVIX®printable lithium technology is comprised of stabilized lithium metal powder (SLMP) dispersed in a compatible solvent along with other rheology and performance modifiers to create a formulation that is chemically stable and not prone to separation for extended periods of time. The solvent used is compatible with commercial electrode slurry solvent removal and recovery practices and is less toxic than NMP. The technology is easily scalable using industry standard coating and printing equipment to apply the formulation to the surface of a prefabricated anode. LIOVIX® is adaptable to any anode or cathode chemistry where an independent source of lithium is required. LIOVIX® can be used in anodes with a range of silicon content, because lithium loading can be accurately controlled based on the applications’ requirements. Lithium loading control is achieved through modification of the print head to print stripes of various width and spacing on the electrode surface. The patterns can range from narrow stripes spaced evenly across the electrode to a monolithic lithium layer.In this presentation, we will show a comparison between LIOVIX® and other prelithiation methods. The electrochemical results will be discussed as well.Reference1. Florian Holtstiege, Peer Bärmann, Roman Nölle, Martin Winter, and Tobias Placke, Pre-Lithiation Strategies for Rechargeable Energy Storage Technologies: Concepts, Promises and Challenges, Batteries 2018, 491), 42. Yusuke Abe, Seiji Kumagai, Effect of negative/positive capacity ratio on the rate and cycling performances of LiFePO4/graphite lithium-ion batteries3. Sa Li, Yunhui Huang, Ju Li et al., Roll-to-roll prelithiation of Sn foil anode suppresses gassing and enables stable full-cell cycling of lithium ion batteries. Energy Environ. Sci.,2019,12, 29914. Chengxu Shen, Rusheng Fu, Yonggao Xia and Zhaoping Liu, New perspective to understand the effect of electrochemical prelithiation behaviors on silicon monoxide. RSC Adv.,2018,8, 14473

This article examines the intricate relationship between state power, technological innovation, and social control, analyzing how states utilize emerging technologies, especially in surveillance and military capacities, and the legitimization strategies employed to justify these practices to both domestic and global audiences. A key observation is the dualism of state technology use, projecting beyond domestic control to external strategic and economic interests, demonstrating technology as both a commodity and diplomatic tool. Taking Israel as a conspicuous case study due to its peculiar geopolitical situation that has rendered the Palestinian territories a laboratory for innovative military and security technologies, this paper examines how combat-proven systems are created, internationally traded, making Israel's defense industry a leading sector. To understand these dynamics, the research integrates various theoretical frameworks including panopticism, dual-use technologies, securitization theory, constructivism, techno-authoritarianism, as well as theories pertaining to public opinion and state legitimation. The study starts by explaining the theoretical basis, its presence in Israel, and its global consequences. The study also considers the state's rationales founded upon security as well as humanitarian reasons, and includes a focus on international collusion as well as censorship in informing public opinion.

The study of retouching, reshaping, and rejuvenation in lithic technology has traditionally focused on finished tools, overlooking the byproducts of these processes, particularly microdebitage. This emphasis has led to an incomplete understanding of the dynamic behaviours associated with tool maintenance and a lack of crucial information about prehistoric technological strategies. In this study, we address this knowledge gap. Specifically, we introduce a classification system for lithic byproducts resulting from retouching, reshaping, and rejuvenation techniques, categorising them into five modules (M0 through M4) based on lithic technological analysis. This methodology integrates the chaîne opératoire approach to analyse flakes without size thresholds. To demonstrate our approach, we apply it to lithic assemblages from two Middle Palaeolithic sites in Armenia, Kalavan 2 and Ararat-1 Cave. This enables a precise reconstruction of tool use-life and, in turn, the maintenance strategies of Pleistocene hunter-gatherers. Our findings demonstrate that microdebitage (byproducts) can contribute to a holistic view of decision-making, revealing patterns in tool maintenance and raw material provisioning. The module system provides insights on ‘ghost tools’ i., e., tools that are no longer present in the archaeological record, as well as curation behaviours and economic decisions regarding raw materials that were previously difficult to discern. By shifting the focus from finished artefacts to byproducts, this framework enhances our ability to interpret lithic assemblages and understand the adaptive strategies of prehistoric hunter-gatherers.

Objective: This study aims to characterize the innovations adopted by companies that produce microbial insecticides in Brazil and to identify industrial advances and formulation strategies that influence the production of microbial insecticides in the country. Theoretical Framework: The research is grounded in innovations in bioinputs for biological control and sustainable agriculture, highlighting the effectiveness of microorganisms such as Bacillus thuringiensis, Metarhizium anisopliae, and Beauveria bassiana in crop protection, as well as the environmental and social impacts of the partial substitution of chemical inputs. Method: The investigation used an approach based on in-person interviews with company representatives and an online questionnaire, along with a survey of microbial products registered in Brazil and a review of scientific literature on technological innovations, formulations, and application strategies of these products. Results and Discussion: The results indicate that microbial insecticides available in Brazil present technological differentials focused on stability, spectrum of action, compatibility with chemical products, and diversity of formulations. Industrial advances such as microencapsulation and formulation strategies optimize microbial viability, persistence, and efficacy. Each company adopts specific processes that influence the final performance of the products, evidencing innovation and customization in the production of bioinsecticides. Research Implications: The study provides insights for producers and industries regarding the selection and development of bioinsecticides, promoting more sustainable and efficient agricultural practices. Originality/Value: This research contributes by mapping innovations in the national market of microbial insecticides for soybean, highlighting proprietary technologies and formulation trends that strengthen the adoption of sustainable practices.