Search Results (32)

In the context of climate change, it becomes of utmost importance to limit the negative impact of industrial activities on carbon emissions, water stress, biodiversity loss, and natural resources depletion. Whether we consider the situation from a product-centered perspective (life cycle, R&D&I process, tools, methods, design, production, etc.) or from a human-centered perspective (habits, practices, fixation, strategic orientations, emotional sensitivity, etc.), coming years will represent a formidable upheaval for companies. To support this transition, various tools assessing products’ impact have been developed over the past decade. They aim at guiding decision makers, integrating new criteria to assess project success, and promoting the development and industrialization of solutions answering pressing environmental issues. If assessment is a key factor of success, it has become clear that processes and practices also need to evolve for practitioners to properly integrate sustainable requirements from the initial stages of their project. In that context, biomimicry, the approach aimed at taking nature as a model to support the design of more sustainable solutions, has been the center of growing interest. However, no integrated methods exist in the cosmetics sector to assess if a product is properly developed through biomimicry. This missing framework led to difficulties for cosmetic companies to support eco-design through biomimicry. In this article, we present a method called Biomim’Index developed by L’Oréal research and innovation sustainable development team to address three objectives: (i) to characterize cosmetic technologies according to whether they are based on bioinspiration, biomimetics or biomimicry; (ii) to guide the project’s leaders to identify key steps to improve existing cosmetic technologies through biomimicry; and (iii) to support the integration of biomimicry as an operational approach towards the development of new sustainable cosmetic technologies. This method, focusing on the problem-driven biomimetic approach is based on a combination of procedural requirements from the biomimetics TC288 18458:2015 ISO norm and environmental design requirements from L’Oréal for the Future (L4TF) commitments. Results present a proof of concept to outline the method’s efficiency and limits to support innovative eco-designed projects and value cosmetic technologies designed through biomimicry. Full article

This study investigated physiological differences in cardiorespiratory and metabolic performance parameters between professional football players from top- (TR) and mid-ranked teams (MR) in the Serbian Super League. A total of 55 male outfield players (TR: n = 29; MR: n = 26) were assessed in March 2022 using a maximal multistage treadmill protocol and lactate analysis. The key cardiorespiratory variables included maximum oxygen uptake (VO₂max), heart rate at the anaerobic threshold (HR AT), and recovery heart rate metrics, while the metabolic variables focused on lactate concentrations and efficiency indices. The results indicate that the TR players achieved significantly lower HR AT values (162 ± 10.26 vs. 168.77 ± 7.28 bpm; p = 0.017) and demonstrated superior second-minute recovery (%Re 2′: 66.62 ± 14.08% vs. 34.53 ± 9.13%, p < 0.001). In contrast, the MR players exhibited higher VO₂max (62.65 ± 4.48 vs. 60.06 ± 3.29 mL/kg/min; p = 0.017) and greater cardiorespiratory efficiency scores. The lactate parameters were comparable between the groups, except for the metabolic efficiency index (Index ME), which were favorable among the TR players (p = 0.011). These findings highlight that while MR players possess higher aerobic capacity, TR players demonstrate superior physiological recovery and metabolic control, reflecting adaptations to different tactical demands and match intensities. The results offer practical implications for individualized training design and performance monitoring in elite football settings. Full article

Micro-, small-, and medium-sized enterprises (MSMEs) have the opportunity to increase resource efficiency, decrease waste, and promote sustainability by implementing remanufacturing techniques. However, determining whether MSMEs are prepared for the adoption of such techniques requires a methodical approach that considers several aspects of manufacturing readiness, such as core acquisition, the design of remanufacturing, and others. Therefore, this study proposes a framework to measure the readiness for the adoption of remanufacturing practices. Further, the remanufacturing readiness index (RRI) is proposed by combining remanufacturing indicators with a structural approach based on graph theory and matrices (GTM). Nine remanufacturing readiness attributes are identified through the literature and validated by an expert team. These nine attributes include core acquisition, reverse logistics availability, resource availability for remanufacturing initiatives, the design for remanufacturing, enterprise collaboration, remanufactured product positioning, performance measurement, labor skill and availability, and a flexible remanufacturing system. The finalized remanufacturing readiness attributes are modelled using GTM to explore their interdependencies, forming the basis for a quantitative index (RRI) that reflects MSMEs’ readiness for the adoption of remanufacturing. It is used to measure the possibility of MSMEs implementing remanufacturing processes. To illustrate the efficacy of the RRI, a case study of a remanufacturing facility was conducted. This RRI acts as a decision-support tool to help MSMEs, industry stakeholders, and governments identify priority areas for intervention, promote resource efficiency, and create sustainable growth. The results highlight the importance of readiness attributes as fundamental components in implementing remanufacturing practices at the MSME level. Full article

Accurate simulation of extreme precipitation events is crucial for managing climate-vulnerable sectors in Southern Africa, as such events directly impact agriculture, water resources, and disaster preparedness. However, global climate models frequently struggle to capture these phenomena, which limits their practical applicability. This study investigates the effectiveness of three bias correction techniques—scaled distribution mapping (SDM), quantile distribution mapping (QDM), and QDM with a focus on precipitation above and below the 95th percentile (QDM95)—and the daily precipitation outputs from 11 Coupled Model Intercomparison Project Phase 6 (CMIP6) models. The Climate Hazards Group Infrared Precipitation with Stations (CHIRPS) dataset was served as a reference. The bias-corrected and native models were evaluated against three observational datasets—the CHIRPS, Multi-Source Weighted Ensemble Precipitation (MSWEP), and Global Precipitation Climatology Center (GPCC) datasets—for the period of 1982–2014, focusing on the December-January-February season. The ability of the models to generate eight extreme precipitation indices developed by the Expert Team on Climate Change Detection and Indices (ETCCDI) was evaluated. The results show that the native and bias-corrected models captured similar spatial patterns of extreme precipitation, but there were significant changes in the amount of extreme precipitation episodes. While bias correction generally improved the spatial representation of extreme precipitation, its effectiveness varied depending on the reference dataset used, particularly for the maximum one-day precipitation (Rx1day), consecutive wet days (CWD), consecutive dry days (CDD), extremely wet days (R95p), and simple daily intensity index (SDII). In contrast, the total rain days (RR1), heavy precipitation days (R10mm), and extremely heavy precipitation days (R20mm) showed consistent improvement across all observations. All three bias correction techniques enhanced the accuracy of the models across all extreme indices, as demonstrated by higher pattern correlation coefficients, improved Taylor skill scores (TSSs), reduced root mean square errors, and fewer biases. The ranking of models using the comprehensive rating index (CRI) indicates that no single model consistently outperformed the others across all bias-corrected techniques relative to the CHIRPS, GPCC, and MSWEP datasets. Among the three bias correction methods, SDM and QDM95 outperformed QDM for a variety of criteria. Among the bias-corrected strategies, the best-performing models were EC-Earth3-Veg, EC-Earth3, MRI-ESM2, and the multi-model ensemble (MME). These findings demonstrate the efficiency of bias correction in improving the modeling of precipitation extremes in Southern Africa, ultimately boosting climate impact assessments. Full article

To address the challenges of dynamic adversarial scenario modeling distortion, insufficient cross-institutional data privacy protection, and simplistic evaluation systems in collegiate basketball tactical education, this study proposes and validates an immersive instructional system integrating digital twin and federated learning technologies. The four-tier architecture (sensing layer, digital twin layer, federated layer, and interaction layer) synthesizes multimodal data (motion trajectories and physiological signals) with Multi-Agent Reinforcement Learning (MARL) to enable virtual–physical integrated tactical simulation and real-time error correction. Experimental results demonstrate that the experimental group achieved 35.2% higher tactical execution accuracy (TEA) (p < 0.01), 1.8 s faster decision making (p < 0.05), and 47% improved team coordination efficiency compared to the controls. The hierarchical federated learning framework (trajectory ε = 0.8; physiology ε = 0.3) maintained model precision loss at 2.4% while optimizing communication efficiency by 23%, ensuring privacy preservation. A novel three-dimensional “Skill–Creativity–Load” evaluation system revealed a 22% increase in unconventional tactical applications (p = 0.013) through the Tactical Creativity Index (TCI). By implementing lightweight federated architecture with dynamic cognitive offloading mechanisms, the system enables resource-constrained institutions to achieve 87% of the pedagogical effectiveness observed in elite programs, offering an innovative solution to reconcile educational equity with technological ethics. Future research should focus on long-term skill transfer, multimodal adaptive learning, and ethical framework development to advance intelligent sports education from efficiency-oriented paradigms to competency-based transformation. Full article

In the volatility, uncertainty, complexity, and ambiguity (VUCA) environment, the application of artificial intelligence (AI) technologies is a key engine for shaping supply chain resilience (SCR). This study employs the entropy method to develop an evaluation index system for SCR, incorporating two key dimensions: resistance and recovery capacity. Using a sample of Chinese-listed enterprises from 2009 to 2022, this study reveals that AI significantly enhances SCR, and CEOs’ sports experience can positively moderate the association between AI and SCR. Mechanism examination shows that AI promotes SCR through operational efficiency optimization, information, and knowledge spillover in the supply chain. Heterogeneity analysis reveals that the positive impact of AI is more significant in firms with a high-skilled labor force, firms with high heterogeneity of the executive team’s human capital, high-tech industries, and regions with strong digital infrastructure. Moreover, the AI application has a diffusion effect on the upstream and downstream enterprises of the supply chain, improving AI adoption levels. Our research not only augments the existing literature on the economic ramifications of AI adoption and the strategic value derived from CEOs’ extramural experience but also offers both theoretical frameworks and empirical insights for executive recruitment and fortifying SCR. Full article

Urban safety is becoming an increasingly crucial issue due to rising crime rates and urbanization. The concept of a “Safe City” aims to ensure citizen safety through effective crime prevention and rapid response strategies. Volunteer security teams play a vital role in supplementing police efforts to maintain community safety. However, current patrol routes are often set unsystematically, relying on experience, leading to inefficient resource use and reduced effectiveness in crime prevention. This study optimized patrol routes for volunteer security teams using advanced data analysis techniques and route optimization algorithms. By integrating various data sources and applying advanced algorithms, the study systematically improved patrol efficiency and effectiveness. By analyzing security facility locations, crime data, and weak areas in Gangseo-gu, this study identified gaps between infrastructure and vulnerable areas. The novelty of this research lies in its comprehensive approach to deriving a security vulnerability index and designing optimal patrol routes based on integrated BIM-GIS data. This optimized approach ensures effective coverage of critical zones, significantly enhancing the operational efficiency of volunteer security teams. Full article

Bones and teeth represent a common finding in ancient DNA studies and in forensic casework, even after a long burial. Genetic typing is the gold standard for the personal identification of skeletal remains, but there are two main factors involved in the successful DNA typing of such samples: (1) the set-up of an efficient DNA extraction method; (2) the identification of the most suitable skeletal element for the downstream genetic analyses. In this paper, a protocol based on the processing of 0.5 g of bone powder decalcified using Na₂EDTA proved to be suitable for a semi-automated DNA extraction workflow using the Maxwell^® FSC DNA IQ™ Casework Kit (Promega, Madison, WI, USA). The performance of this method in terms of DNA recovery and quality was compared with a full demineralisation extraction protocol based on Qiagen technology and kits. No statistically significant differences were scored according to the DNA recovery and DNA degradation index (p-values ≥ 0.176; r ≥ 0.907). This new DNA extraction protocol was applied to 88 bone samples (41 femurs, 19 petrous bones, 12 metacarpals and 16 molars) allegedly belonging to 27 World War II Italian soldiers found in a mass grave on the isle of Cres (Croatia). The results of the qPCR performed by the Quantifiler Human DNA Quantification kit showed values above the lowest Limit of Quantification (lLOQ; 23 pg/µL) for all petrous bones, whereas other bone types showed, in most cases, lower amounts of DNA. Replicate STR-CE analyses showed successful typing (that is, >12 markers) in all tests on the petrous bones, followed by the metacarpals (83.3%), femurs (52.2%) and teeth (20.0%). Full profiles (22/22 autosomal markers) were achieved mainly in the petrous bones (84.2%), followed by the metacarpals (41.7%). Stochastic amplification artefacts such as drop-outs or drop-ins occurred with a frequency of 1.9% in the petrous bones, whereas they were higher when the DNA recovered from other bone elements was amplified (up to 13.9% in the femurs). Overall, the results of this study confirm that petrous bone outperforms other bone elements in terms of the quantity and quality of the recovered DNA; for this reason, if available, it should always be preferred for genetic testing. In addition, our results highlight the need for accurate planning of the DVI operation, which should be carried out by a multi-disciplinary team, and the tricky issue of identifying other suitable skeletal elements for genetic testing. Overall, the results presented in this paper support the need to adopt preanalytical strategies positively related to the successful genetic testing of aged skeletal remains in order to reduce costs and the time of analysis. Full article

With the notable achievements attained through the implementation of steam-assisted gravity drainage (SAGD), the vertical–horizontal steam drive (VHSD) emerges as a pivotal technological advancement aimed at significantly enhancing the efficiency of thin reservoir heavy oil recovery subsequent to steam cyclic stimulation. The inclusion of nitrogen assistance has proven effective in enhancing the efficacy of gravity drainage techniques in reservoir development. However, it is noteworthy that this method has only led to improvements in approximately 50% of the well groups within the observed field. The comprehensive evaluation index of VHSD was proposed, and as the objective function, it was determined that the greatest contribution to the VHSD technique lies in oil saturation, accounting for 40% of the overall evaluations. This differs from conventional SAGD operations, where reservoir thickness serves as the primary determinant. Building upon an enhanced physical simulation similarity criterion, two comparative injection scheme experiments were conducted to explore the impact of nitrogen injection on the performance of VHSD and the characteristics of the steam chamber. Nitrogen is distributed in the vicinity of the steam chamber, leading to the formation of a dual mechanism characterized by ‘top heat insulation and lateral traction’ on the steam chamber. The lateral traction accounts for approximately 25% of the team chamber volume. Additionally, the inducement of nitrogen causes a downward displacement of crude oil, resulting in its accumulation within the high-temperature region of the steam chamber. This, in turn, enhances the contact area between the high-temperature steam and the crude oil, ultimately leading to improvement in production efficiency. Further validation of the impact of nitrogen on steam lateral traction and interlayer steam drainage within the reservoir was confirmed using Xinjiang oilfield testing. The well temperature increased from 75 °C to 130 °C. Full article

Improving the emergency response effectiveness of coal mines in response to water hazard accidents not only plays a vital part in minimizing the resultant losses, but also functions as an important index for evaluating the emergency response capability of coal mines. Therefore, it is of great necessity to test the emergency response capability of coal mines. In this study, an effectiveness measurement index system for the emergency response system that comprises two primary indexes (i.e., response capability and service capability) and six secondary indexes (i.e., accident information transmission, emergency command and control, emergency rescue and mitigation, emergency management, personnel team, and prevention and preparation) was constructed. Additionally, a technique for order preference by similarity to ideal solution (TOPSIS) model for evaluating the effectiveness of the integral emergency response system for coal mine water hazard accidents, based on combination weighting, was put forward. Both the empirical evaluation and model validation of the emergency response system for water hazard accidents were carried out by taking five coal mines attached to Henan Coking Coal Group as research objects. The findings suggest that the effectiveness of the emergency response system for water hazard accidents in the Guhanshan Coal Mine and the Zhongmachun Coal Mine is rated as “average”, while those in the Jiulishan Coal Mine, Zhaogu No. 1 Coal Mine, and Zhaogu No. 2 Coal Mine are graded as “good”. This result is consistent with the actual situation, which verifies the capacity of the proposed TOPSIS model to evaluate the emergency response system scientifically and efficiently for coal mine water hazard accidents. This study not only offers new ideas for how to enhance the comprehensive emergency response capability of coal mines with respect to water hazard accidents, but also provides support for making decisions concerning the upgrading of the emergency response capacity of coal mines. Full article

After the Coronavirus pandemic, the importance of virus surveillance was highlighted, reinforcing the constant necessity of discussing and updating the methods for collection and diagnoses, including for other respiratory viruses. Although the nasopharyngeal swab is the gold-standard sample for detecting and genotyping SARS-CoV-2 and Influenza viruses, its collection is uncomfortable and requires specialized teams, which can be costly. During the pandemic, non-invasive saliva samples proved to be a suitable alternative for SARS-CoV-2 diagnosis, but for Influenza virus the use of this sample source is not recognized yet. In addition, most SARS-CoV-2 comparisons were conducted before the Omicron variant emerged. Here, we aimed to compare Influenza A and Omicron RT-qPCR analysis of nasopharyngeal swabs and saliva self-collection in paired samples from 663 individuals. We found that both nasopharyngeal swab and saliva collection are efficient for the diagnosis of Omicron (including sub-lineages) and for Influenza A, with high sensitivity and accuracy (>90%). The kappa index is 0.938 for Influenza A and 0.905 for SARS-CoV-2. These results showed excellent agreement between the two samples reinforcing saliva samples as a reliable source for detecting Omicron and highlighting saliva as a valid sample source for Influenza detection, considering this cheaper and more comfortable alternative. Full article

Ecological restoration of abandoned mining areas in the Altay Mountain, northwest China, has always been considered a challenging issue due to the wide restoration area and serious devastation. To examine the restoration effects of the experimental measures carried out by our research team in an abandoned mining area in the Altay Mountain since 2010, short-term (2 years) and long-term (9 years) restoration efficiency of two types of supplementary planting measures, sowing commercial seeds (M1) and sowing soil seed banks (M2), were analyzed by calculating the vegetation growth indexes, soil–rock ratio, soil bulk density, and soil moisture content. Results show that both supplementary planting methods can significantly improve the growth status of surface vegetation, which is reflected by the variation of vegetation growth indices. The short-term restoration effect of M1 on vegetation is faster but, over time, the effect of M2 was more prominent. Restoration effects of the M2 on the soil condition were more significant at 30–40 cm of the soil layer, reflected in the higher soil–rock ratio, which is 7.2%. The water storage function of soil has significantly improved under both supplementary planting methods; the remediation effect of method M1 on the soil bulk density is mainly reflected in the surface layer, while the effect of method M2 on the soil bulk density is reflected in deeper (40–50 cm) layer. The results of this study would be helpful to explore the new practices for the restoration of mining areas. Full article

In water polo, the team’s technical and tactical performance is determined by the sum of the players’ activities. This study aimed to investigate the playing offensive performance of an Italian First League team performed during all matches (n = 19) of the 2021/22 championship using the Team Sport Assessment Procedure (TSAP). For all subjects (n = 15), gaining possession of the ball (received balls (RB) and conquered balls (CB)) and disposing of the ball (neutral balls (NB); lost balls (LB); offensive ball (OB) and successful Shots (SS)) parameters, as well as volume of play (VP), efficiency index (EI) and performance score (PS) indexes, were analyzed in relation to the playing positions, season phase, match location and final score difference. Multiple linear regression showed a significant association between the playing position and VP and PS. Perimetral players showed the highest VP (65%) and PS (66%) values, and center defenders showed the highest values of CB (30%), while center forwards gained the highest amount of exclusion when handling the ball (48%). Although they were not significant, the other contextual factors showed that season phase and match location could affect the TSAP indexes. For water polo coaches, the TSAP represents an effective tool to assess how players interpret the match. Full article

Nowadays, the agri-food sector is facing fundamental challenges. According to the FAO study, the amount of arable land per capita in the world will decrease from 0.6 hectares per person in 2000 to 0.2 hectares by 2050, while the demand for food will increase by 70%. With today’s yield growth of 1.5% per year, such changes could result in global food shortages. Therefore, the governments of developed and developing countries should support initiatives for the digitization of agri-food businesses and the introduction of new technologies to increase the volume of food production. Russia’s war against Ukraine is the main cause of the global food crisis, which could bring serious political and economic consequences. The agricultural and food sector of Ukraine is about 10% of GDP. For many years, the Ukrainian agro-industrial complex, before the full-scale invasion of Russia, occupied a leading position among the global exporters. Ukraine supplied 10% of world wheat exports, more than 14% of corn and more than 47% of sunflower oil. A full-scale war has become a real test for the Ukrainian agri-food industry. The invasion entailed the destruction of food production processes and logistics chains. Many sowing areas were mined, equipment and warehouses were destroyed. At the end of 2022, Ukraine exported agricultural products worth USD 23.6 billion. Although the figure for 2022 is 15% less than the record of 2021 (USD 27.9 billion), last year’s value of exports became the second since the independence of Ukraine. Disruptions to Ukrainian exports exacerbated the rise in food prices, which, according to the FAO index, increased by 54% in February 2022. In March 2023, prices fell, but they were still 6.4% higher than in 2022. The purpose of the study is to assess the level of digital transformation of the Ukrainian agri-food industry in order to ensure food security at the national and international levels. Digitalization of the agri-food industry in Ukraine should be considered a source of deep systemic transformations, which involves the use of digital technologies at the business level to optimize business operations, increase company productivity, and improve interaction with suppliers and customers. For agri-food companies, the issue of digitalization concerns not only technological modernization, but also a complete change of business processes: farm management systems, data processing and harvest forecasting, agricultural processing, food quality management, systems for creating added value for products, warehouse management systems, and human resources management. Nowadays, digitalization can accelerate the transformation of the agri-food industry across the entire supply chain, from manufacturing and purchasing processes to distribution, logistics and finance. Innovative technologies that can become breakthrough in the agri-food industry are as follows: bioinformatics; synthetic biology; food design; smart farming; vertical farms; aquaculture; bioinformatics; genetics; alternative sources of protein; technology of conservation and extension of the shelf life of food products. In Ukraine, a number of agri-food enterprises are moving to Industry 4.0. The most innovative companies in Ukraine are the largest exporters “Kernel”, “MHP”, “ASTARTA-KYIV”. “Kernel”, a large producer and exporter of sunflower oil, has been successfully implementing innovations for the agro-industrial complex of Ukraine for many years. The company uses digital technologies at all stages—from growing products to sales. The company’s IT team digitized logistics, trading, and document management. All information about the processes taking place in agri-food production is collected in the “Kernel DigitalAgriBusiness” innovative ecosystem. “MHP”, the largest producer and exporter of chicken in Ukraine, continues to use biogas to produce electricity, industrial steam, and heating. “MHP” biogas projects are a significant contribution to the company’s energy independence and environmental responsibility. “ASTARTA-KYIV”, a vertically integrated agricultural holding, developed a complex system of IT solutions for agribusiness management “AgriChain”, which includes management of the land bank of the agricultural company (AgriChain Land), agricultural production (AgriChain Farm), monitoring of crops (AgriChain Scout), logistics of goods (AgriChain Logistics), warehouse management (AgriChain Barn), business processes (AgriChain Kit). Digital transformations are also being followed in the dairy industry. “Bel Shostka Ukraine” company is engaged in the digital transformation of the milk harvesting process. According to our research, breakthrough innovations are predominantly implemented by large Ukrainian agri-food companies, since they have significant financial resources for R&D, while SMEs are concentrating their efforts on the digitalization of business operations and implementation of energy efficient technologies. Full article

The first entire Zagreb index (FEZI) is a graph parameter that has proven to be essential in various real-life scenarios, such as networking businesses and traffic management on roads. In this research paper, the FEZI was explored for a variety of fuzzy graphs, including star, firefly graph, cycle, path, fuzzy subgraph, vertex elimination, and edge elimination. This study presented several results, including determining the relationship between two isomorphic fuzzy graphs and between a path and cycle (connecting both end vertices of the path). This research also deals with the analysis of $\alpha$-cut fuzzy graphs and establishes bounds for some fuzzy graphs. To apply these findings to modern life problems, the research team utilized the results to identify areas that require more development in internet systems. These results have practical implications for enhancing the efficiency and effectiveness of internet systems. The conclusion drawn from this research can be used to inform future research and aid in the development of more efficient and effective systems in various fields. Full article