Search Results (6,887)

Egg variety and storage duration are key determinants of nutritional value, market pricing, and food safety. The similar external appearance of different varieties increases the risk of mislabeling, while inevitable quality deterioration during storage further complicates reliable assessment. These factors underscore the need for non-destructive, cross-temporal detection. However, prolonged storage induces pronounced spectral drift that degrades conventional models, limiting their effectiveness in real-world quality monitoring. To address this issue, we propose the Multi-Task Cross-Temporal Squeeze-and-Excitation Network (MT-CTSE-Net), a deep learning framework that integrates Convolutional Neural Networks (CNN), Squeeze-and-Excitation (SE) channel attention, and Transformer encoders to jointly perform egg variety identification across storage durations and storage period classification. The model extracts local spectral details, enhances channel-wise feature relevance, and captures long-range dependencies, while inter-task feature sharing improves generalization under temporal variation. Evaluated on near-infrared (1000–2500 nm) spectra from three commercial egg varieties (Enshi selenium-enriched, Mulanhu multigrain, Zhengda lutein), MT-CTSE-Net achieved approximately 86% accuracy (F1-score: 86.1%) in cross-temporal variety classification and about 84.2–86.4% in storage-period prediction—surpassing single-task and benchmark multi-task models. These results demonstrate that MT-CTSE-Net effectively mitigates storage-induced spectral drift and provides a robust pathway for non-destructive quality assessment and temporal monitoring in agri-food supply chains. Full article

In post-pandemic Peru, delivery platforms have become key market-access infrastructures for microenterprises, yet regional evidence remains limited. This study examines the extent to which—and under what conditions—the adoption of delivery services is associated with innovative business growth in La Libertad (2021–2025). A cross-sectional survey of 200 microentrepreneurs assessed delivery adoption, business model innovation (BMI), digital capabilities, and the institutional environment. Statistical analyses indicate that the use of delivery platforms is positively associated with business growth and that an indirect association operates through BMI. Likewise, higher levels of digital capabilities are associated with a steeper adoption–growth association, while more favorable institutional conditions are associated with higher odds of business formalization. These findings suggest that delivery platforms may function as catalysts for growth and formalization when adoption co-occurs with strategic redesign and digital skill development within supportive local ecosystems. The study contributes to sustainable entrepreneurship scholarship by providing regional-level evidence from a developing economy and underscoring that technological adoption alone is insufficient without complementary innovation and capability building. Although environmental metrics were not included, future research should incorporate verified indicators to assess the environmental dimension of delivery-based entrepreneurship comprehensively. Full article

We implement, optimize, and compare the performance of deep learning models in forecasting prices of crude oil markets, namely West Texas Intermediate (WTI) and Brent. We focus on deep learning models as these are state-of-the-art forecasting systems for complex and nonlinear time series. In this regard, we implement convolutional neural networks (CNNs), long short-term memory (LSTM), and gated recurrent units (GRUs). Classical recurrent neural networks (RNNs) are chosen as the baseline artificial neural networks. We contribute to the literature by examining the effect of fine-tuning of the parameters of the predictive systems by means of Bayesian optimization (BO) on their performance. Also, to check the robustness of the optimized models, they are trained and tested on daily, weekly, and monthly data. The assessment of forecasting performance is based on three different metrics including the root mean of squared errors (RMSE), mean absolute deviation (MAD), and mean absolute percentage error (MAPE). The simulation results show that the GRU-BO and RNN-BO are respectively the best systems to predict prices of BRENT and WTI. In addition, the simulation results show that BO enhances the accuracy of the predictive models. The results obtained would help oil producers, suppliers, traders, and investors to implement the appropriate prediction system for each market to improve accuracy and generate profits for each time horizon. Full article

In recent years, the expansion of the illicit market for Novel Psychoactive Substances (NPS) has resulted in the emergence of numerous synthetic recreational drugs specifically designed to evade legal control and analytical detection. Among these, nitazenes represent one of the most potent classes of new synthetic opioids, although information regarding their toxicological properties remains limited. The present study aimed to assess the genotoxic potential of four nitazenes: clonitazene, etonitazene, isotonitazene and metonitazene in human lymphoblastoid TK6 cells using a flow cytometric version of the In Vitro Mammalian Cell Micronucleus Test, following OECD Guideline No. 487. Cells were exposed to concentrations ranging from 12.5 to 100 μM, and cytotoxicity, cytostasis, and apoptosis were evaluated to identify appropriate doses for micronucleus frequency assessment. Vinblastine, a well-established mutagen, was included as positive control. Our findings demonstrated that clonitazene and isotonitazene exhibit mutagenic potential, suggesting an increased long-term risk of developing chronic degenerative diseases. Furthermore, the results revealed that structurally related molecules can induce markedly different cellular effects, underscoring the importance of compound-specific toxicological evaluations to achieve a comprehensive understanding of the risks associated with their illicit use—risks often presumed to involve only addiction or acute toxicity. Full article

This study examines the relationship between digital skills and entrepreneurial intention in Mexico, emphasizing demographic, educational, and technological determinants. Despite the recognized importance of digitalization, most Mexican entrepreneurs possess only basic competencies, which constrains productivity and growth. Using data from the Digital Skills Profiler (50,582 individuals), binary probit models were estimated to assess the effect of digital skills on both current and prospective entrepreneurs. Results reveal a paradox: individuals with advanced digital skills are less frequently engaged in entrepreneurship, often opting instead for better paid and more stable employment in the formal labor market. When engaging in entrepreneurship, individuals with advanced digital skills tend to concentrate in service sector or non-conventional activities, exhibiting weaker connections to trade in goods. Women and older generations face greater barriers to acquiring digital competencies, whereas younger cohorts show stronger skills that do not necessarily translate into opportunity-driven ventures. Necessity-driven entrepreneurship predominates, with only a small fraction of ventures evolving into opportunity-based projects. The findings highlight the need for differentiated policy approaches: fostering innovative, competitive entrepreneurship requires distinct instruments from those designed to support subsistence ventures. Aligning digital inclusion and entrepreneurship strategies with Sustainable Development Goals 8 and 9 will be crucial to narrowing digital divides and promoting sustainable, inclusive growth. Full article

Our research aims to provide a comparative analysis of water governance components by presenting the complexity of water-covered land use by the extractive industry in terms of legal, economic, and environmental protection aspects in Poland and Malaysia, along with the corresponding regulations and their implications. This paper discusses the legal forms of land ownership and use, as well as the currently applied principles for calculating fees for using state-owned water covered land that contains mineral deposits. We also present a comparison of selected technologies for the extraction of sand and gravel aggregates under water with their environmental impact. This research highlights the need for specialized valuation frameworks tailored to the geological and regulatory landscape of Poland and Malaysia. We suggest that the market value of land located above a mineral deposit, calculated individually for each deposit-property, should serve as the basis for calculating the lease fee. This discussion should encompass not only the principles and methodology involved in estimating the magnitudes of lease rents on mining industry and its profitability, but also the identification and criteria for assessing the risks associated with ongoing or planned mining ventures and concerns about the protection of river ecosystems. Our research contributes in providing data to stakeholders on extractive industry that operates within flowing and standing inland waters. The key finding of our research is that, in our opinion, the water governance frameworks in Poland and Malaysia are inadequate for protecting public finances and for internalizing the environmental externalities inherent in the economics of mining. Full article

The market for gluten-free (GF) snack products has expanded, even among children without gluten-related disorders, but few studies have assessed their nutritional quality relative to gluten-containing (GC) counterparts. This study compared the macronutrient composition and fibre additive content of such snack bars marketed to children in Ontario. A total of 110 snack bars were identified using a standardized set of marketing-based criteria. Nutritional data, including macronutrient content and the presence of fibre additives such as inulin and fructooligosaccharides (FOSs), were collected. Data was standardized per 100 kcals and bar size, then analyzed using an independent sample t-test and chi-square. Results indicated that GF bars contained significantly higher levels of protein (1.7 ± 0.77 g vs. 1.3 ± 0.44 g; p = 0.002) and fibre (1.9 ± 0.95 g vs. 1.4 ± 0.98 g; p = 0.015). No significant differences were observed for sugar, carbohydrates, total fat, saturated fat, or trans fat content. Fibre additives were more common in GF bars (24.4% vs. 10.1%), though this association was not statistically significant (p = 0.079). Findings suggest that while GF bars show slight nutritional advantages, their similar overall profiles and greater use of fibre additives indicate room for improvement across both categories. Full article

This study investigates the influence of banking service quality and customer trust on customer retention behavior, considering the mediating role of customer satisfaction and the moderating role of FinTech. In light of the growing digitalization in the banking sector, the study aims to understand how these constructs interact to drive long-term customer loyalty. A quantitative research approach was adopted using data collected through a structured questionnaire administered to banking customers. The relationships among variables were examined using Partial Least Squares Structural Equation Modeling (PLS-SEM), assessing both direct and indirect effects. The results show that banking service quality and customer trust significantly enhance customer satisfaction, which in turn positively influences customer retention behavior. Moreover, satisfaction was found to mediate the relationships between both service quality and trust with retention. FinTech demonstrated a strong direct effect on retention and also significantly moderated the satisfaction–retention link, amplifying its impact when FinTech services are effectively utilized. This study contributes to the relationship marketing literature by introducing FinTech as a novel moderating variable in the satisfaction–retention framework. It offers practical insights for banks aiming to enhance retention by improving service quality, fostering trust, and leveraging digital technologies to strengthen customer relationships. Full article

The conceptual foundation of this study is that a country’s exposure to risk when using green bonds as a mechanism for financing sustainable development is shaped by a combination of macroeconomic, market, and social factors. This paper develops and empirically validates a fuzzy-set model to assess national-level risks associated with green financing projects within the Water–Energy–Food (WEF) Nexus in BRICS countries. Building on established theoretical frameworks and empirical evidence, the study conceptualises risk as a function of economic development, the scale of the domestic green bond market, institutional trust, and performance on the Multidimensional Poverty Index (MPI). The study employs fuzzy-set modelling to integrate these heterogeneous indicators into a unified quantitative risk score. This approach enables cross-country comparison and captures the non-linear nature of relationships between socio-economic and institutional factors. The country sample includes Brazil, Russia, India, and China, which have successively chaired the BRICS association between 2021 and 2025, thereby ensuring methodological consistency and representativeness. The empirical results reveal a clear stratification of green-finance risk levels across the four economies: China demonstrates the lowest risk (Y = 0.243), followed by Russia with a below-average risk (Y ≈ 0.41), while India (Y = 0.53) and Brazil (Y = 0.51) exhibit the highest relative risks. These outcomes highlight the critical role of institutional trust and market maturity in reducing financing uncertainty within the WEF nexus. The study contributes to the literature by integrating macroeconomic, social, and institutional indicators into a unified fuzzy-logic model of green-finance risk; offering a transparent methodology for country-level comparison; and providing policy insights for improving the enabling environment for green bond markets in emerging economies. Full article

Blackberry (Rubus subg. Eubatus Focke) ranks among the four most commercially valuable berry crops globally, alongside raspberry, strawberry, and blueberry, owing to its high antioxidant content—particularly flavonoids, anthocyanins, and polyphenols. Compared to other berry crops, blackberry cultivation requires lower labor and financial inputs, with plantations remaining productive for 12–15 years. In Russia, total blackberry area is limited (~100 ha), and the Moscow Region is particularly suited for trailing and semi-trailing cultivars with early-to-mid-season ripening. This three-year study (2021–2023) conducted at the Tsitsin Main Botanical Garden (RAS) evaluated ten promising blackberry cultivars to (i) assess interrelationships among phenological, morphological, and fruit quality traits; and (ii) identify optimal market niches for each genotype. Cultivars were grouped by ripening time: early (‘Karaka Black’, ‘Loch Tay’, ‘Natchez’) and medium (‘Columbia Sunrise’, ‘Hall’s Beauty’, ‘Caddo’, ‘Columbia Giant’, ‘Victoria’, ‘Brzezina’). Morphologically, ‘Columbia Giant’, ‘Columbia Star’, ‘Columbia Sunrise’, ‘Hall’s Beauty’, and ‘Loch Tay’ exhibited the most balanced architecture. For fresh-market retail, ‘Hall’s Beauty’ (650.3 gf), ‘Loch Tay’ (632.0 gf), and ‘Victoria’ (882.2 gf) stood out for high fruit firmness, whereas ‘Columbia Giant’ (11.5 g fruit mass, 354.1 gf) is recommended for direct consumer sales due to its large fruit size and acceptable firmness. Key trait associations included flowering duration and drupelet number (r = −0.83); fruiting onset and lateral length (r = 0.75); central leaflet length and fruiting laterals per shoot (r = −0.86); fruit number per lateral and Soluble Solids Content (SSC, r = 0.83); and lateral length (r = 0.84). These findings indicate the importance of proper variety selection for establishing blackberry plantations in the specific climatic conditions of the Moscow Region. Full article

The Former General Electric Utility in Japan is a major participant in the electricity market. The integrated operational capabilities of these power companies have significant impacts on the stable development and sustainability of the power industry. This study evaluates the comprehensive operational capabilities of these power companies from 2003 to 2015 and analyzes the indicators that may affect their operational capabilities. Establishing an evaluation index system comprising five subsystems, namely profitability, management, solvency, growth, and scale, and optimizing it using principal component analysis. The Technique for Order of Preference by Similarity to Ideal Solution was utilized to calculate the relative closeness of each company, with a score representing the integrated operational capabilities. Furthermore, coupling coordination and grey correlation analyses were conducted to assess the internal coordination among subsystems and to identify critical drivers of sustainable performance. The results show that (1) the Kyushu Electric Power Company and Tohoku Electric Power Company have strong integrated operational capabilities. (2) The five evaluation subsystems of integrated operational capability during the period of 2003–2015, fluctuated between moderate and high levels. (3) The top 5 indicators with the highest average grey correlation are as follows: “Hydropower capacity factor”, “Operating cash flow to current liabilities ratio”, “Operating profit growth rate”, “Net profit growth rate”, “Total capital utilization”. This study contributes to the sustainable management of the electricity industry by providing a systematic and data-driven assessment framework. The findings offer practical insights for optimizing corporate governance, enhancing energy efficiency, and formulating policy measures that support the long-term sustainability and competitiveness of Japan’s power utilities. Full article

Biogas and biomethane represent promising domestic fuels compatible with decarbonization targets at a time when diversification of gas sources is essential due to market volatility and increasing security risks. In laboratory practice, however, biogas production is still frequently assessed manually, which increases measurement uncertainty, limits temporal resolution, and reduces comparability between experimental series. We present an open and low-cost platform for continuous monitoring based on the hydrostatic water-displacement principle, complemented by stabilized process conditions (temperature control at 37 °C with short-term variability of approximately ±0.02 °C), continuous measurement with a 1 Hz sampling rate, and cloud-based data visualization. The methodology builds on a standardized procedure grounded in well-defined pressure–height–volume conversion relationships and transparent signal processing, enabling objective comparison of substrates and experimental setups. Validation experiments confirmed the system’s capability to capture short-term transient phenomena, improve reproducibility among parallel reactors, and maintain long-term measurement stability. Long-duration tests demonstrated short-term scatter of approximately 0.06 mL, minimal drift below 0.15% per 24 h, and an expanded uncertainty of roughly 3.1% at 100 mL. In parallel BMP tests, the continuous method yielded final volumes 5.78% higher than the discrete pressure method, reflecting systematic bias introduced by sparse manual sampling and reactor handling. The basic configuration quantifies the cumulative volume and production rate of biogas and is readily extendable to online gas composition analysis. The proposed solution offers a replicable tool for research and education, reduces costs, supports measurement standardization, and accelerates the optimization and subsequent scale-up of biogas technologies toward pilot-scale and industrial applications. Full article

Although ochratoxin A (OTA) contamination has been previously reported in Lebanon, this study is the first worldwide to assess its potential impact on renal health among adolescents aged 10 to 18 years. In this cross-sectional study, the aim was to evaluate the levels of OTA, OTα, and kidney injury biomarkers, as well as creatinuria and total proteinuria, while correlating these findings with dietary patterns. Urinary concentrations of OTA, its main metabolite ochratoxin α (OTa), the three renal injury biomarkers (N-acetyl-β-D-glucosaminidase [NAG], Kidney Injury Molecule-1 [KIM-1], and human lipocalin-2 [NGAL]), and two renal function indicators (creatinine and total protein) were quantified. Associations between biomarker levels and dietary intake patterns were also evaluated. OTA and OTα were detected in 14.2% and 59.5% of urine samples, respectively. NGAL and NAG were found in all participants at low concentrations, with the NAG-to-creatinine ratio exceeding the clinical threshold in 1.5% of samples, while KIM-1 was detected in 86% of participants. A weak positive correlation between urinary OTα and NAG suggests subtle renal alterations possibly linked to OTA exposure. Correlations between biomarker levels and food consumption were generally weak and positive. Estimated dietary intake (EDI) of OTA generated from consumption patterns was shown to be less than the probable dietary intake (PDI) calculated from urinary OTA. However, this presented a limitation, as EDI was calculated from previous contamination data in Lebanon. Overall, these findings indicate that while renal injury biomarkers were present at low levels, they may reflect early kidney stress not yet manifesting as overt pathology and highlight the need for strengthened regulatory measures to limit OTA contamination in foods available on the Lebanese market and for longitudinal studies to confirm these preliminary findings. Full article

As global urbanization accelerates, many regions—including Chinese cities—are continuously advancing their urban development. Urban renewal, as a component of urbanization, has increasingly become a focal point of attention in recent years. Achieving high-quality urban renewal requires an in-depth study of the interaction between the built environment and public space. Everyday public space, a subset of public space, represents residents’ everyday practices in the urban environment based on their own needs and is a recurring challenge in contemporary urban renewal and management. This study takes three distinct urban zones in Tianjin as case examples and employs quantitative analysis. From the perspectives of land-use patterns, residential indicators, urban design, and transportation systems, we compare the relationships between built-environment elements (both at the sub-regional and city-wide levels) and the distribution of everyday public spaces. In addition, we construct an evaluation model by integrating Structural Equation Modeling (SEM) with the Analytic Hierarchy Process (AHP) to assess everyday public spaces. The results show that the spatial distribution of everyday public spaces is significantly correlated with various urban elements, and these relationships differ across regions. Overall, the strongest correlations are found with large markets, residential area, population density, building density, and the 160 m integration index. Regarding evaluation, users and designers differ markedly in their focal points: users prioritize concrete elements such as the presence of specific facilities, whereas designers emphasize aspects that can be directly addressed through design interventions. In summary, we propose a complete research pathway—identification and evaluation based on the built environment—that can provide systematic, actionable, technical support for formulating and implementing urban-renewal policies, offering substantial practical value. Full article

Type IV composite overwrapped pressure vessels—characterized by a polymer liner fully wrapped in fiber-reinforced polymer—are emerging as lightweight, corrosion-proof alternatives to traditional metal cylinders in fire safety applications. This paper presents a comprehensive review of Type IV high-pressure vessels used in portable fire extinguishers and self-contained breathing apparatus (SCBA) systems. We outline recent material innovations for both the non-metallic liners and composite shells, including multilayer liner designs (e.g., high-barrier polymers and nanocomposites) and advanced fiber/resin systems. Key manufacturing developments such as automated filament winding, resin infusion, and in-line non-destructive testing are discussed. Technical performance in fire applications is critically examined: current standards and certification requirements (EU and international), typical design pressures (e.g., 300 bar in SCBA) and safety factors, common failure modes (liner collapse, fiber rupture, etc.), inspection protocols, and a comparison with Type IV hydrogen storage cylinders. Market trends are also reviewed, highlighting the major manufacturers and the growing adoption of composite extinguishers (e.g., 20-year service-life composite units) versus conventional steel. The review draws on 7–10 peer-reviewed studies to analyze the state of the art, finding that Type IV vessels offer significant weight reduction (>30%) and corrosion resistance at the cost of more complex design and certification. In firefighting use, these cylinders demonstrably improve firefighter mobility and reduce maintenance, while meeting rigorous safety standards. Remaining challenges include further improving liner permeability barriers to prevent gas leakage or collapse, understanding long-term composite aging under cyclic loads, and optimizing fire resistance. Overall, Type IV composite pressure vessels represent a major innovation in fire suppression technology, enabling safer and more efficient extinguishing equipment. Future research and standardization efforts are recommended to fully realize their benefits in fire protection. Full article