Search Results (1,121)

As native bovine whey (WHEY) poses environmental concerns as a high-water-content by-product, this trial aimed at assessing the effectiveness of a thermal–mechanical microparticulation coupled with a fermentative process to concentrate it into a high-protein soft dairy cream. Compared to native whey, in microparticulated (MPW) and fermented (FMPW) matrices, there was a significant increase in proteins (from 0.7 to 8.8%) and lipids (from 0.3 to 1.3%), and a more brilliant yellowness colour. A factorial discriminant analysis (FDA) showed that FMPW had a higher content of saturated fatty acid (SFA) and some specific polyunsaturated fatty acid (PUFA) n-6, and also identified C14:0, C18:1, C18:1 t-11, C18:2 n-6, and C18:3 n-6 as informative biomarkers of microparticulation and fermentative treatments. The SDS-PAGE indicated no effects on the protein profile but indicated its rearrangement into high molecular weight aggregates. Z-sizer and transmission electron microscopy analyses confirmed a different supramolecular structure corresponding to a higher variability and greater incidence of very large molecular aggregates, suggesting that MPW could be accounted as a colloidal matrix that may have similar ball-bearing lubrication properties. Microparticulation of whey could facilitate its circularity into the dairy supply chain through its re-generation from a waste into a high-value fat replacer for dairy-based food production. Full article

This article traces the trajectory of China’s dominant literary field as it shifted from proletarian to intellectual literature in the early reform era. It examines the conditions and cultural logic underlying the striking phenomenon whereby former industrial workers, once incorporated into the literary field, rapidly distanced themselves from the very genre historically rooted in their own industrial experiences, namely, worker literature. Focusing on writers emerging from factories and on Shanghai Literature—a journal once known for publishing worker literature. The article analyzes the reconfiguration of class and identity that accompanied China’s transition from its high socialist past. I argue that socialist worker literature never fully reconciled the structural antagonism between manual and mental labor. In the early reform era, factory-based writers appropriated literature as a mode of symbolic escape and ideological critique. Hence, literature itself became a site where the contradictions of socialist and capitalist modernity were negotiated and contested. Full article

The multi-objective optimization of an electric prototype racing vehicle is addressed in this study. The goal was to identify the optimal combination of battery type, pilot weight, and power mode to maximize operational time and distance while minimizing energy consumption. A structured $2\times 3\times 3$ factorial design was implemented, and the resulting data were analyzed through Response Surface Methodology (RSM) in combination with the Desirability Function Approach (DFA). The experimental design included two battery configurations, three weight levels, and three power settings, while data acquisition was performed through a custom Arduino-based system validated against commercial instruments. The results revealed that the configuration with the smallest battery, the lowest weight (66 kg), and the lowest power mode (N5) achieved the most efficient performance, yielding an operating time of 1.12 h, a travel distance of 24.63 km, and an energy performance index of 2.90 km/Ah. The integration of RSM with DFA provided a robust framework for identifying optimal multiparameter conditions under competition constraints. Unlike previous studies that examined these variables in isolation, this work advances the state of the art by demonstrating the feasibility of multiparameter optimization in real-world racing contexts, offering methodological and practical insights for sustainable electric mobility. Full article

Within the framework of the 2030 Agenda, universities are key institutions in promoting digital competencies aligned with Sustainable Development Goals (SDGs), particularly SDG 4 (Quality Education) and SDG 10 (Reduced Inequalities). This study evaluates the psychometric properties of the Internet Skills Scale (ISS), adapted for Chilean university students, as a tool to assess how effectively higher education fosters digital skills that enable critical participation and social inclusion. Using a sample of 906 students from nine public universities across Chile, the ISS was linguistically and culturally adapted, and its factorial structure, reliability, validity, and measurement invariance were tested. The results support a four-factor model—operational, navigation, social, and creative skills—under a second-order structure, with strong fit indices (CFI = 0.987; RMSEA = 0.055) and high internal consistency (α > 0.83). The ISS also demonstrated gender-based measurement invariance and convergent validity with digital citizenship. These findings underscore the ISS as a valid instrument for monitoring the effectiveness and equity of digital education policies in universities. Its application contributes to diagnosing institutional performance regarding the integration of digital competencies into curricula, thus guiding improvements in educational strategies toward socially just, inclusive, and sustainable digital participation. Full article

This study evaluates the validity and factorial structure of the affective job satisfaction scale (BIASJ) among 234 workers from private institutions of social solidarity (IPSS) in Portugal. Emotional job satisfaction, a key marker of psychological well-being, is associated with positive outcomes for employees and organizations. The sample was mainly female, with an average age of 39.15 years (SD = 8.22). The BIASJ and Maslach burnout inventory (MBI) measured job satisfaction and burnout. The BIASJ demonstrated high internal consistency (Cronbach’s alpha = 0.87, McDonald’s omega = 0.88) and a unidimensional structure. Significant negative correlations with emotional exhaustion and depersonalization supported its criterion validity. The results confirm the BIASJ as a reliable instrument for assessing job satisfaction in IPSS settings in Portugal. Future research should incorporate more diverse, gender-balanced samples and utilize probability sampling to improve generalizability. Full article

Egg quality plays a crucial role in determining shelf life, consumer acceptability, and economic value in commercial egg production systems. This study evaluated the effects of season, storage temperature, and duration on internal and external egg quality. A total of 256 freshly laid eggs were collected during winter and spring, and stored at four temperatures (0 °C, 10 °C, 20 °C, and 30 °C) for 0, 10, 20, and 30 days. The experimental design was a 2 × 4 × 4 factorial design (season × temperature × duration), with 128 eggs collected each in both seasons. Each treatment combination included 8 eggs (2 eggs × 4 replicates). External quality (egg weight and shell thickness) and internal quality (yolk and albumen height, width, pH, Haugh units, and yolk colour) parameters were evaluated at 10-day intervals. Egg weight significantly decreased (p < 0.05) from 67.67 g on Day 0 to 59.39 g on Day 30. Similarly, shell thickness decreased (p < 0.05) from 40.00 mm to 36.00 mm over the same period. Yolk pH increased from 6.68 to 7.16 (p < 0.05), and albumen pH rose (p < 0.05) from 7.30 to 7.60, particularly at higher storage temperatures (20 °C and 30 °C). Yolk and albumen heights decreased significantly (p < 0.05), from 2.03 cm to 1.23 cm and 6.65 cm to 3.88 cm, respectively, indicating structural degradation. Yolk width increased from 2.58 cm to 3.49 cm (p > 0.05), and albumen width expanded (p < 0.05) from 5.33 cm to 9.21 cm, with a notably greater spread observed at 30 °C (14.68 cm). Haugh unit values declined markedly from 98.46 to 60.00 over 30 days (p < 0.05), indicating a significant deterioration in internal egg quality. Seasonal effects were also evident: spring eggs had greater shell thickness (40.60 mm vs. 38.45 mm in winter; p = 0.01) and brighter yolk colour, whereas winter eggs had higher yolk pH values (6.47 vs. 6.28; p = 0.009), and superior yolk and albumen heights. These findings indicate that storage beyond 10 days, particularly above 20 °C, compromises egg quality and that seasonality significantly affects multiple quality parameters. Cold storage and seasonally optimized management strategies are recommended to preserve egg integrity and marketability in commercial poultry systems. Full article

This paper presents a modular and distributed supervisory control integration framework for intelligent micro-manufacturing systems (MMSs) under event-level failures. Addressing the increasing demand for scalable and reliable supervisory control in both micro- and smart manufacturing, the proposed approach equips each subsystem with a detector automaton that classifies runtime states into Strictly robust, Recoverably robust, or Non-robust categories. Distributed supervisors then make real-time local decisions to ensure fault-tolerant evolution of system behaviors. Unlike conventional centralized or Petri net-based methods, the proposed automaton-based framework supports modular design and structural scalability. Quantitative comparisons show that the robustness-detection cost scales approximately linearly with the summed sizes of local graphs, indicating good structural scalability. Simulation studies validate the feasibility and scalability of the framework, demonstrating its effectiveness in maintaining production cycle reachability and its integration potential for micro-electro-mechanical systems (MEMS)-based production lines, micro-fabrication platforms, and smart factory environments. These results confirm that the proposed method can serve as a robust and deployable control layer for next-generation intelligent and micro-manufacturing integration architectures. Full article

The objective of this study is to systematically investigate the effects of friction stir spot welding (FSSW) parameters—rotational speed, dwell time, and pin diameter—on the mechanical, thermal, and microstructural properties of PA6. PA6 plates (5 mm thick, 30 mm wide, 150 mm long) were welded using an Optimum BF20L milling machine, examining key parameters: rotational speed (762, 1146, 1560 rpm), pin diameter (M10, M12), and dwell time (15 s, 60 s). A full factorial design was employed to analyze their effects. Rotational speed emerged as the most significant factor influencing tensile strength, with an optimal speed of 1146 rpm yielding 72.4 MPa. Dwell time also played a major role, improving flexural strength by 56.5% as it increased from 15 to 60 s (40.6 MPa to 63.6 MPa). Although pin diameter had limited influence on tensile performance, larger pins (M12) promoted higher crystallinity (up to 33.37%) and better thermal distribution. The degree of crystallinity and crystalline lamella thickness (λ) varied, indicating that thermal and structural properties can be tailored through parameter optimization. These findings highlight the potential of FSSW to enhance PA6’s performance characteristics, making it a viable joining method for high-performance applications in the automotive, aerospace, and electronics industries. Further research is encouraged to deepen the understanding of the relationship between welding parameters and microstructural evolution, particularly in relation to crystallization behavior. Full article

In distributed manufacturing systems, minimizing completion time and improving resource utilization are critical for enhancing operational efficiency. Conventional scheduling models for centralized flowshops struggle to capture the complexity of distributed heterogeneous systems, while existing studies often overlook the combined challenges of heterogeneous factories, no-wait constraints, and sequence-dependent setup times (SDST). This study focuses on the distributed heterogeneous no-wait permutation flowshop scheduling problem with SDST (DHNPFSP-SDST), which is proven NP-hard via polynomial reduction to the classic permutation flowshop scheduling problem (PFSP). We first establish a bi-objective optimization model to simultaneously minimize makespan and total machine non-working time, serving as a standard experimental foundation. The core innovation is a large language model-assisted non-dominated sorting genetic algorithm (LLM-NSGAII), Through a structured prompt framework, LLM-NSGAII leverages LLM’s zero-shot in-context learning to dynamically orchestrate selection, crossover, and mutation operations—replacing the fixed operators of traditional NSGAII. Experiments on extended benchmarks show that when compared with mainstream, multi-objective algorithms demonstrate competitiveness across most instances and provide a proof of concept for integrating LLMs with evolutionary algorithms, opening new avenues for algorithmic optimization. Full article

The protection, safety and security (PSS) of complex objectives have become managerial subjects for aspects such as guarantee, growth and development. These aspects are marked by intrinsic and extrinsic factors. The present paper approaches the analysis of the current state in the PSS field through a case study with reference to the situation of small modular reactor (SMR) investments, which officially entered the application agenda for the first time in Romania and in the European Union (EU). The main object of the research aims at the perception scale of integrated PSS, using the method of interviewing decision-makers and researching the factorial structure of the centrality items of PSS activities in SMRs. The central view of this article is to conceptually delimit integrated PSS, their operationalization to complex objectives, and, respectively, their management in the context of research on the analysis and development directions registered nationally and internationally in the field. Derived from this approach, we defined secondary objectives as follows: to highlight the achievements in the field that contribute to ensuring the functioning of complex industrial objectives; to characterize energy demands in the context of the increasing phenomenon of globalization, technological transfer and knowledge; and to establish the framework for evaluating integrated PSS that have a preventive, safe and feasible contribution in the new economy. Full article

Background/Objectives: Organized physical activity is frequently considered a protective factor against bullying behaviors, yet evidence within the university context remains limited. This study investigates the relationships between physical activity levels, body mass index (BMI), and involvement in traditional and digital bullying, taking into account the differences between students with and without structured sports training. Methods: A total of 2767 first-year students from Transylvania University of Brașov participated. The sports group (n = 161; 65 females, 96 males) was compared to the non-sports group (n = 2606; 1472 females, 1134 males). Instruments included the Physical Activity Questionnaire for Adolescents (PAQ-A), validated scales for traditional and cyberbullying and victimization, and BMI calculation. Statistical analyses involved t-tests (two-tailed), 2 × 2 factorial ANOVA, and sex-stratified multiple linear regressions. Results: Students with sports training reported higher physical activity (PAQ-A 4.2–4.6), lower BMI, and lower bullying involvement (traditional ≈ 14–21% vs. ≈32%; cyber ≈ 8–17% vs. ≈25%). Group differences were large for physical activity (Hedges’ g ≈ 1.5) and moderate for BMI and bullying (g ≈ 0.68–0.96; point-biserial r² ≈ 3–4%). ANOVA showed sports status main effects (partial η_p² ≈ 4–5% for bullying/BMI; ≈20% for PAQ-A). In regressions, sports status (B = −0.30 to −0.44) and physical activity (B = −0.22 to −0.32) predicted lower aggression/victimization, whereas BMI showed positive associations (B = 0.11 to 0.18) (all p < 0.001). Sex × sports interactions were significant for PAQ-A and for traditional and cyber-victimization. Conclusions: Structured physical activity contributes to reducing the risk of bullying involvement and supports better psychosocial adjustment among students. These findings underscore the educational and preventive potential of university sports programs. Full article

Padé approximants are computational tools customarily employed for resumming divergent Stieltjes series. However, they become ineffective or even fail when applied to Stieltjes series whose moments do not satisfy the Carleman condition. Differently from Padé, Levin-type transformations incorporate important structural information on the converging factors of a typical Stieltjes series. For example, the computational superiority of Weniger’s $\delta$-transformation over Wynn’s epsilon algorithm is ultimately based on the fact that Stieltjes series converging factors can always be represented as inverse factorial series. In the present paper, the converging factors of an important class of superfactorially divergent Stieltjes series are investigated via an algorithm developed one year ago from the first-order difference equation satisfied by the Stieltjes series converging factors. Our analysis includes the analytical derivation of the inverse factorial representation of the moment ratio sequence of the series under investigation, and demonstrates the numerical effectiveness of our algorithm, together with its implementation ease. Moreover, a new perspective on the converging factor representation problem is also proposed by reducing the recurrence relation to a linear Cauchy problem whose explicit solution is provided via Faà di Bruno’s formula and Bell’s polynomials. Full article

In recent years, psychological research has increasingly focused on the impact of media exposure on mental health, identifying young adults as particularly vulnerable due to their high levels of media engagement. To explore these effects, the construct of Media Vicarious Traumatization (MVT) has been introduced as an extension of vicarious traumatization, aimed at capturing the psychological impact of emotionally intense media content. MVT offers a relevant framework for understanding the mental health risks of media exposure, especially in relation to socially significant issues like war, now central in contemporary media discourse. This study aims to culturally adapt and psychometrically validate the Media Vicarious Traumatization Scale (MVTS) within the Italian context, and to investigate the relationship between the war-related MVT construct, generalized anxiety, and future anxiety among young adults. Study I, conducted on a sample of 250 participants (M = 22.40, SD = 2.63), explored the latent structure of the MVTS using Parallel Analysis and Exploratory Factor Analysis (EFA), yielding promising psychometric properties in terms of reliability and factorial stability. An independent sample of 553 participants (M = 22.43, SD = 2.37) was recruited for Study II to confirm the MVTS’s latent structure via Confirmatory Factor Analysis (CFA), which indicated good model fit. This study also evaluated measurement invariance across gender, internal consistency, and convergent, discriminant, and predictive validity, alongside psychometric properties assessed through Item Response Theory (IRT). The results of both studies confirm the stable and robust psychometric properties of the scale. Furthermore, Study II provides novel insights into the predictive role played not only by the war-related MVT but also by the recently introduced construct of Worry about War in exacerbating both generalized anxiety and future anxiety among Italian young adults. Full article

Metal–organic frameworks (MOFs) are promising materials for drug delivery due to their structural tunability and high surface area. This work reports on the synthesis of ZIF-8 for the in situ encapsulation of hesperidin, a flavonoid with poor water solubility used in the treatment of circulatory system disorders, as a gastric-targeted drug delivery system (DDS). A 2³ full factorial design was used to optimize drug loading, investigating the effects of DMSO concentration, 2-MIm/Zn²⁺ molar ratio, and final solution volume (water content). The materials were characterized by ATR-FT-IR, TG, XRD, and SEM analyses, confirming successful ZIF-8 synthesis and partial hesperidin encapsulation. Drug release kinetics were evaluated at pH 1.0 and 6.86. The system showed a faster and more pronounced release at pH 1.0, driven by MOF degradation, demonstrating its potential as a gastric-targeted DDS. This study confirms the feasibility of ZIF-8 to improve hesperidin solubility and bioavailability, highlighting a novel strategy for its therapeutic application. Full article

Many existing reinforced concrete (RC) frames with brick infill walls are vulnerable to earthquake damage, particularly when the walls contain window openings that reduce the lateral resistance. This study aims to examine the seismic performance of RC frames strengthened with U-shaped precast concrete (PC) wall panels. In the proposed method, the window-containing brick infill walls within the RC frames are replaced with factory-fabricated U-shaped PC wall panels, thereby converting the infill into a strong and rigid structural element while preserving the openings. The panels are anchored to the RC frame using post-installed anchors inserted through predrilled holes, allowing for rapid and secure installation with minimal on-site work. To validate the method, five full-scale, one-bay, one-story RC frames were constructed and tested under reversed cyclic lateral loading. Three frames were strengthened with U-shaped PC wall panels of varying thicknesses and large openings. Displacement-controlled cycles following ACI 374.1-05 (R7.0) were applied, with three cycles at each drift ratio stage, and no axial load was applied to the columns. Compared with the reference specimen with a U-shaped brick wall, the strengthened frames exhibited up to 3.29 times higher lateral strength, 4.39 times higher initial stiffness, and 4.33 times greater energy dissipation capacity. These findings demonstrate that the proposed strengthening technique significantly enhances seismic resistance while maintaining the architectural openings, offering a practical and efficient solution for upgrading low-rise RC buildings. Full article