Search Results (1,022)

Ice energy storage systems have gained significant attention as sustainable solutions for energy management, particularly in applications with fluctuating energy demands. This study aims to compare two different designs, a triple-tube heat exchanger (TTHE) and spherical ice balls, the latter being the most widely used traditional design in the industry. The TTHE design was first analyzed theoretically, then optimized using Computational Fluid Dynamics (CFD) simulations, and validated by the literature. Finally, it was compared with spherical ice balls under identical conditions. The analyses were conducted for an ice storage volume of 1000 kg, with the complete solidification process designed to occur within 8 h. The results indicate that the TTHE reduced solidification time by 25% while simultaneously increasing energy storage by 8%. This study contributes to the advancement of sustainable energy technologies by providing a comparative analysis of spherical ice balls and triple-tube heat exchangers for optimizing ice storage systems. The implementation of a TTHE for thermal storage can lower energy costs, mitigate peak demand, and address the intermittency challenges associated with renewable energy sources. Full article

The growing demand for sustainable plant-based dairy alternatives has spurred interest in valorizing agro-industrial byproducts like hazelnut cake, a protein-rich byproduct of oil extraction. This study developed formulations for vegan ice cream using unfermented (HIC) and Aspergillus oryzae-fermented hazelnut cake (FHIC), comparing their physicochemical, functional, and sensory properties to conventional dairy ice cream (DIC). Solid-state fermentation (72 h, 30 °C) enhanced the cake’s bioactive properties, and ice creams were characterized for composition, texture, rheology, melting behavior, antioxidant activity, and enzyme inhibition pre- and post-in vitro digestion. The results indicate that FHIC had higher protein content (64.64% vs. 58.02% in HIC) and unique volatiles (e.g., benzaldehyde and 3-methyl-1-butanol). While DIC exhibited superior overrun (15.39% vs. 4.01–7.00% in vegan samples) and slower melting, FHIC demonstrated significantly higher post-digestion antioxidant activity (4.73 μmol TE/g DPPH vs. 1.44 in DIC) and angiotensin-converting enzyme (ACE) inhibition (4.85–7.42%). Sensory evaluation ranked DIC highest for overall acceptability, with FHIC perceived as polarizing due to pronounced flavors. Despite textural challenges, HIC and FHIC offered nutritional advantages, including 18–30% lower calories and enhanced bioactive compounds. This study highlights fermentation as a viable strategy to upcycle hazelnut byproducts into functional vegan ice creams, although the optimization of texture and flavor is needed for broader consumer acceptance. Full article

Bilberry (Vaccinium myrtillus L.) fruits represent the recognized wellspring of bioactive compounds with various documented bioactivities. Although bilberry leaves are often treated as industrial by-products, they also represent a valuable source of phytochemicals with potential dermocosmetic applications. In this study, extracts of bilberry fruits and leaves were prepared using both conventional solvents (water and 50% ethanol) and natural deep eutectic solvents (NaDES) as green, biodegradable alternatives. The aim of this study was to examine the UV protective activity and inhibitory potential of those extracts against some enzymes (tyrosinase, hyaluronidase, collagenase) that are important in terms of skin conditioning and skin aging. The results of in vitro tests have shown the superiority of NaDES extracts compared to conventional extracts regarding all tested bioactivities. In addition, bilberry leaves extracts were more potent compared to fruit extracts in all cases. The most potent extract was bilberry leaf extract made with malic acid–glycerol, which exhibited strong anti-tyrosinase (IC₅₀ = 3.52 ± 0.26 mg/mL), anti-hyaluronidase (IC₅₀ = 3.23 ± 0.30 mg/mL), and anti-collagenase (IC₅₀ = 1.84 ± 0.50 mg/mL) activities. The correlation analysis revealed correlation between UV protective and anti-tyrosinase, UV protective and anti-collagenase as well as between anti-hyaluronidase and anti-collagenase activity. UV protection and anti-tyrosinase activity correlated significantly with chlorogenic acid and hyperoside contents in extracts. The extracts with the best activities also demonstrated a good safety profile in a 24 h in vivo study on human volunteers. Full article

Today’s primary challenges include identifying efficient, affordable, and environmentally sustainable substances to serve as raw materials in industrial, agricultural, and medicinal applications. This study aimed to evaluate the chemical composition and biological properties (namely antioxidant and allelopathic activities) of the methanolic extract derived from the above-ground portions of Artemisia judaica collected in Jazan, Saudi Arabia. GC-MS was used to evaluate the chemical composition of the methanolic extract derived from Artemisia judaica. GC-MS analysis revealed a total of 22 volatile compounds in the extract. The most prominent compounds identified were 2-ethylhexanoic acid, 5-hydroxy-6-(1-hydroxyethyl)-2,7-dimethoxynaphtho-quinone, and piperitone. The extract demonstrated strong antioxidant activity in both the DPPH and ABTS radical scavenging assays, comparable to the standard antioxidant ascorbic acid. The IC₅₀ value for the extract was 31.82 mg/mL in the DPPH assay and 39.93 mg/mL in the ABTS testing. Additionally, the extract exhibited dose-dependent inhibition of seed germination, root growth, and shoot growth of the weed Chenopodium murale in allelopathic bioassays. The most significant suppression was observed in shoot growth with an IC₅₀ value of 45.90 mg/mL, which was lower than the IC₅₀ values for root development and seed germination of C. murale, recorded at 56.16 mg/mL and 88.80 mg/mL, respectively. Furthermore, the findings indicated that methanolic extracts had significant lethal toxic effects on the life cycle of Aedes aegypti. Future research will focus on extracting uncontaminated substances and evaluating the biological effects of each specific constituent. Full article

Ice accumulation on exposed surfaces presents substantial economic and safety challenges across various industries. To overcome limitations associated with traditional anti-icing methods, such as the use of nanoparticles, this study introduces a novel and facile approach for fabricating superhydrophobic and anti-icing microstructures using cost-effective LCD 3D printing technology. The influence of diverse pillar geometries, including square, cylindrical, hexagonal, and truncated conical forms, was analyzed to assess their effects on the hydrophobic and anti-icing/icephobic performance in terms of wettability, ice adhesion strength, and icing delay time. The role of microstructure topography was further investigated through cylindrical patterns with varying geometric parameters to identify optimal designs for enhancing hydrophobic and icephobic characteristics. Furthermore, the effectiveness of surface functionalization using a low surface energy material was evaluated. Our findings demonstrate that the synergistic combination of tailored microscale geometries and surface functionalization significantly enhances anti-icing performance with reliable repeatability, achieving ice adhesion of 13.9 and 17.9 kPa for square and cylindrical pillars, respectively. Critically, this nanoparticle-free 3D printing and low surface energy treatment method offers a scalable and efficient route for producing high-performance hydrophobic/icephobic surfaces, opening promising avenues for applications in sectors where robust anti-icing capabilities are crucial, such as renewable energy and transportation. Full article

The results of this study highlight the effectiveness of the proposed semantic security detection framework, SSB, in identifying a wide range of vulnerabilities in smart contracts tailored for industrial control scenarios. Compared to existing tools like ZEUS, Securify, and VULTRON, SSB demonstrates superior logical coverage across various vulnerability types, as evidenced by its performance on smart contract samples. This suggests that semantic-based approaches, which integrate domain-specific invariants and runtime monitoring, can address the unique challenges of ICS, such as real-time constraints and semantic consistency between code and physical control logic. The framework’s ability to model industrial invariants—covering security, functionality, consistency, time-related, and resource consumption aspects—provides a robust mechanism to prevent critical errors like unauthorized access or premature equipment operation. However, the lack of real-world ICS validation due to confidentiality constraints limits the generalizability of these findings. Future research should focus on adapting SSB for real industrial deployments, exploring scalability across diverse ICS architectures, and integrating advanced AI techniques for dynamic invariant adjustment. Additionally, addressing cross-chain interoperability and privacy concerns could further enhance the framework’s applicability in complex industrial ecosystems. Full article

The increasing complexity of manufacturing processes demands accurate defect prediction and interpretable insights into the causes of quality issues. This study proposes a methodology integrating machine learning, clustering, and Explainable Artificial Intelligence (XAI) to support defect analysis and quality control in industrial environments. Using a dataset based on empirical industrial distributions, we train an XGBoost model to classify high- and low-defect scenarios from multidimensional production and quality metrics. The model demonstrates high predictive performance and is analyzed using five XAI techniques (SHAP, LIME, ELI5, PDP, and ICE) to identify the most influential variables linked to defective outcomes. In parallel, we apply Fuzzy C-Means and K-means to segment production data into latent operational profiles, which are also interpreted using XAI to uncover process-level patterns. This approach provides both global and local interpretability, revealing consistent variables across predictive and structural perspectives. After a thorough review, no prior studies have combined supervised learning, unsupervised clustering, and XAI within a unified framework for manufacturing defect analysis. The results demonstrate that this integration enables a transparent, data-driven understanding of production dynamics. The proposed hybrid approach supports the development of intelligent, explainable Industry 4.0 systems. Full article

The increasing demand for sustainable and safer alternatives in the cosmetic industry has driven the search for multifunctional natural ingredients. Essential oils (EOs), known for their antimicrobial and antioxidant activities, are promising candidates with which to replace synthetic preservatives and antioxidants. This study aimed to evaluate the preservative and antioxidant potential of Lippia origanoides Kunth essential oil, in pure and encapsulated in β-cyclodextrin form, for cosmetic applications. The EO exhibited strong antioxidant activity, with low IC₅₀ values in DPPH and ABTS assays, and demonstrated antimicrobial efficacy, particularly against Escherichia coli and Staphylococcus aureus. Six cosmetic cream formulations were developed and tested for physicochemical and microbiological stability. Formulations with pure EO maintained high antioxidant performance and remained free of bacterial and fungal contamination over time, outperforming the commercial preservatives. In contrast, formulations with encapsulated EO exhibited delayed antioxidant and antimicrobial activity, indicating gradual release. Overall, Lippia origanoides EO proved to be an effective natural alternative to synthetic preservatives and antioxidants. This approach aligns with the current trend of eco-friendly formulations, offering a sustainable solution by incorporating plant-derived bioactives into cosmetic products. Full article

This study explores the valorization of agro-industrial by-products—riceberry broken rice (RBR) and soybean meal (SBM)—as cost-effective substrates for enhancing exopolysaccharide (EPS) production by Bacillus tequilensis PS21. Eight Bacillus strains were screened, and B. tequilensis PS21 demonstrated the highest EPS yield (2.54 g/100 mL DW). The EPS displayed a strong antioxidant capacity with 65.5% DPPH and 80.5% hydroxyl radical scavenging, and a FRAP value of 6.51 mg Fe²⁺/g DW. Antimicrobial testing showed inhibition zones up to 10.07 mm against Streptococcus agalactiae and 7.83 mm against Staphylococcus aureus. Optimization using central composite design (CCD) and the response surface methodology (RSM) revealed the best production at 5% (w/v) RBR, 3% (w/v) SBM, pH 6.66, and 39.51 °C, yielding 39.82 g/L EPS. This EPS is a moderate-molecular-weight (11,282 Da) homopolysaccharide with glucose monomers. X-ray diffraction (XRD) showed an amorphous pattern, favorable for solubility in biological applications. Thermogravimetric analysis (TGA) demonstrated thermal stability up to ~250 °C, supporting its suitability for high-temperature processing. EPS also exhibited anticancer activity with IC₅₀ values of 226.60 µg/mL (MCF-7) and 224.30 µg/mL (HeLa) at 72 h, reduced colony formation, inhibited cell migration, and demonstrated anti-tyrosinase, anti-collagenase, and anti-elastase effects. This study demonstrates the successful valorization of agro-industrial by-products—RBR and SBM—for the high-yield production of multifunctional EPS with potent antioxidant, antimicrobial, and anticancer properties. The findings highlight the sustainable potential of these low-cost substrates in supporting the development of green and value-added bioproducts, with promising utilizations across the food, pharmaceutical, and cosmetic sectors. Full article

Traditional security detection methods struggle to identify zero-day attacks in Industrial Control Systems (ICSs), particularly within critical infrastructures (CIs) integrated with the Industrial Internet of Things (IIoT). These attacks exploit unknown vulnerabilities, leveraging the complexity of physical and digital system interconnections, making them difficult to detect. The integration of legacy ICS networks with modern computing and networking technologies has expanded the attack surface, increasing susceptibility to cyber threats. Anomaly detection systems play a crucial role in safeguarding these infrastructures by identifying deviations from normal operations. This study investigates the effectiveness of deep learning-based anomaly detection models in revealing operational anomalies that could indicate potential cyber-attacks. We implemented and evaluated a hybrid deep learning architecture combining Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks to analyze ICS telemetry data. The CNN-LSTM model excels in identifying time-dependent anomalies and enables near real-time detection of cyber-attacks, significantly improving security monitoring capabilities for IIoT-integrated critical infrastructures. Full article

This study investigated the natural bioactive compounds in Polygonum cuspidatum Sieb. et Zucc. (P. cuspidatum) by fractionating a 70% ethanol extract using n-hexane, chloroform, ethyl acetate, n-butanol, and water. The total polyphenol and flavonoid contents of each fraction were determined, and their antioxidant activities were evaluated using DPPH, ABTS, and FRAP assays. Additionally, the anti-diabetic potential was assessed via α-glucosidase inhibitory activity, while anti-obesity activity was evaluated using lipase inhibitory activity. The fractions were also tested for tyrosinase and elastase inhibitory activities to assess their skin-whitening and anti-wrinkle potential, and their antibacterial activity against Staphylococcus aureus, Escherichia coli, and Pseudomonas aeruginosa was determined using the agar diffusion method. Finally, bioactive compounds were identified and quantified using HPLC and GC–MSD. The results showed that the ethyl acetate fraction possessed the highest total polyphenol content (0.53 ± 0.01 g GAE/g) and total flavonoid content (0.19 ± 0.02 g QE/g). It also exhibited strong antioxidant activity, with the lowest DPPH radical scavenging IC₅₀ (0.01 ± 0.00 mg/mL), ABTS radical scavenging IC₅₀ (0.06 ± 0.00 mg/mL), and the highest FRAP value (6.02 ± 0.30 mM Fe²⁺/mg). Moreover, it demonstrated potent enzyme inhibitory activities, including tyrosinase inhibitory activity (67.78 ± 2.50%), elastase inhibitory activity (83.84 ± 1.64%), α-glucosidase inhibitory activity (65.14 ± 10.29%), and lipase inhibitory activity (85.79 ± 1.04%). In the antibacterial activity, the ethyl acetate fraction produced a clear inhibitory zone of 19.50 mm against Staphylococcus aureus, indicating notable antibacterial activity. HPLC-PDA and GC–MSD analyses identified tannic acid and emodin as the major bioactive constituents. These findings suggest that the ethyl acetate fraction of P. cuspidatum extract, rich in polyphenol and flavonoid compounds, is a promising natural source of bioactive ingredients for applications in the food, pharmaceutical, and cosmetic industries. Further research is needed to explore its mechanisms and therapeutic applications. Full article

The aim of this study was to compare IC and CSR and to examine ICr as a mediating variable. The study employed a relational survey design and involved participants drawn from industrial organizations based in Tehran. To evaluate participants’ perceptions of innovation climate, corporate social responsibility, and Individual Creativity, standardized questionnaires were used. In analyzing the findings, the structural equation modeling (SEM) approach was adopted, and the analyses were conducted using SPSS AMOS version 26. The analysis revealed that an Innovative Climate exerts a positive and statistically significant influence on CSR. In addition, a positive and significant association was identified between Innovative Climate and Individual Creativity. The results further demonstrated a meaningful relationship between Individual Creativity and CSR. Finally, to test the hypothesis of partial mediation, the study confirmed that Individual Creativity functions as a mediating mechanism between IC and CSR. Overall, these findings highlight the critical role of an innovative environment in enhancing CSR efforts from the perspective of Individual Creativity, and they provide insight for future studies aimed at developing strategies to strengthen creativity as a strategic means of achieving more effective CSR outcomes. The study advocates the development of an innovation-oriented mindset as a pathway to promoting socially responsible practices within Tehran’s industrial sector. Full article

Theobroma cacao L. (cocoa) pod husk, a byproduct of the chocolate industry, has potential for commercial applications due to its bioactive compounds. This study aimed to determine the phytochemical composition, biological activity, and clinical efficacy of a standardized extract. This study compared 80% ethanol (CE) and 80% ethanol acidified (CEA) as extraction solvents. The result indicated that CEA yielded higher total phenolic content (170.98 ± 7.41 mg GAE/g extract) and total flavonoid content (3.91 ± 0.27 mg QE/g extract) than CE. Liquid chromatography–tandem mass spectrometry (LC/MS/MS) identified various phenolic and flavonoid compounds. CEA demonstrated stronger anti-oxidant (IC₅₀ = 5.83 ± 0.11 μg/mL in the DPPH assay and 234.17 ± 4.01 mg AAE/g extract in the FRAP assay) compared to CE. Additionally, CEA exhibited anti-tyrosinase (IC₅₀ = 9.51 ± 0.01 mg/mL), anti-glycation (IC₅₀ = 62.32 ± 0.18 µg/mL), and anti-collagenase (IC₅₀ = 0.43 ± 0.01 mg/mL), nitric oxide (NO) production inhibitory (IC₅₀ = 62.68 μg/mL) activities, without causing toxicity to cells. A formulated lotion containing CEA (0.01–1.0% w/w) demonstrated stability over six heating–cooling cycles. A clinical study with 30 volunteers showed no skin irritation. The 1.0% w/w formulation (F4) improved skin hydration (+52.48%), reduced transepidermal water loss (−7.73%), and decreased melanin index (−9.10%) after 4 weeks of application. These findings suggest cocoa pod husk extract as a promising active ingredient for skin hydrating and lightening formulation. Nevertheless, further long-term studies are necessary to evaluate its efficacy in anti-aging treatments. Full article

The cigarette production from Nicotiana tabacum generates significant amounts of waste, with an estimated 68.31 million tons of pre- and post-harvest waste discarded annually. The pre-harvest waste includes the upper parts of the plant, inflorescences, and bracts, which are removed to help the growth of the lower leaves. This study explores the potential of apical leaves from Nicotiana tabacum var. Virginia, discarded during the budding stage (pre-harvest waste). The leaves were extracted using environmentally friendly solvents (green solvents), including distilled water (DW) and two natural deep eutectic solvents (NaDESs), one consisting of simple sugars, fructose, glucose, and sucrose (FGS) and the other consisting of choline chloride and urea (CU). The anti-inflammatory and anti-aging potential of these green extracts was assessed by the inhibition of key enzymes related to skin aging. The xanthine oxidase and lipoxygenase activities were mostly inhibited by CU extracts with IC₅₀ values of 63.50 and 8.0 μg GAE/mL, respectively. The FGS extract exhibited the greatest hyaluronidase inhibition (49.20%), followed by the CU extract (33.20%) and the DW extract (20.80%). Regarding elastase and collagenase inhibition, the CU extract exhibited the highest elastase inhibition, while all extracts inhibited collagenase activity, with values exceeding 65%. Each extract had a distinct chemical profile determined by LC-ESI-QTOF-MS/MS and spectrophotometric methods, with several shared compounds present in different proportions. CU extract is characterized by high concentrations of rutin, nicotiflorin, and azelaic acid, while FGS and DW extracts share major compounds such as quinic acid, fructosyl pyroglutamate, malic acid, and gluconic acid. Ames test and Caenorhabditis elegans assay demonstrated that at the concentrations at which the green tobacco extracts exhibit biological activities, they did not show toxicity. The results support the potential of N. tabacum extracts obtained with NaDESs as antiaging and suggest their promising applications in the cosmetic and cosmeceutical industries. Full article

The inevitable decline in battery performance presents a major barrier to its widespread industrial application. Adaptive and accurate estimation of battery capacity is paramount for battery operation, maintenance, and residual value evaluation. In this paper, we propose a novel battery capacity estimation method based on an approximate open circuit voltage curve. The proposed method is rigorously tested using both lithium–iron–phosphate (LFP) and nickel–cobalt–manganese (NCM) battery packs at multiple charging rates under varied aging conditions. To further enhance capacity estimation accuracy, a voltage correction strategy is implemented utilizing the incremental capacity (IC) curve. This strategy also verifies the potential benefits of increasing the charging rate to shorten the overall test duration. Eventually, the capacity estimation error is consistently controlled within 2%. With optimal state of charge (SOC) interval selection, the estimation error can be further reduced to 1%. Clearly, our proposed method exhibits excellent compatibility across diverse battery materials and degradation states. This adaptability holds substantial scientific value and practical importance. It contributes to the safe and economic utilization of Li-ion batteries throughout their entire lifespan. Full article