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17 pages, 2079 KB  
Article
Optimizing SARIMAX Model with Big Data to Predict Gaming Tourism Destination Demand
by Chong Fo Lei, Fusheng Chen and Chia Wei Chu
Mathematics 2025, 13(20), 3276; https://doi.org/10.3390/math13203276 (registering DOI) - 14 Oct 2025
Abstract
Tourism demand forecasting has evolved into a wide variety of models, including time-series models that incorporate economic, environmental, and behavioral factors. Macao, one of the world’s most profitable gaming destinations, finds that gaming revenue is highly related to tourist arrivals. A forecast model [...] Read more.
Tourism demand forecasting has evolved into a wide variety of models, including time-series models that incorporate economic, environmental, and behavioral factors. Macao, one of the world’s most profitable gaming destinations, finds that gaming revenue is highly related to tourist arrivals. A forecast model for gaming tourism is essential for accurately predicting tourist arrivals. The challenge with ARIMA-type models is optimizing parameter selection in order to improve the accuracy of tourism demand forecasts. In this study, an enhanced version of SARIMAX, called SARIMAX-E, was developed to identify the most effective parameter combinations. By integrating data related to gaming revenue, weather, transportation, currency exchange rate, holidays, and seasonality into a single forecast model, this study examined the performance of different forecasting models, including the proposed SARIMAX-E model; ARIMA-type models (ARIMA, SARIMA, ARIMAX); and machine learning models (Transformer, LTSM, Random Forests, XGBoost). The results showed that the ARIMA family of models, including SARIMAX-E, ARIMAX, and SARIMA, was particularly well suited to tourism demand forecasting, as its members consistently ranked among the top performers in terms of error metrics. By applying multi-step predictions, LSTM outperforms most conventional approaches. Compared with all other models, the SARIMAX-E performed the best after applying the additional parameter grid. Full article
(This article belongs to the Special Issue Recent Advances in Time Series Analysis)
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15 pages, 1487 KB  
Article
Model-Free Identification of Heat Exchanger Dynamics Using Convolutional Neural Networks
by Mario C. Maya-Rodriguez, Ignacio Carvajal-Mariscal, Mario A. Lopez-Pacheco, Raúl López-Muñoz and René Tolentino-Eslava
Modelling 2025, 6(4), 127; https://doi.org/10.3390/modelling6040127 (registering DOI) - 14 Oct 2025
Abstract
Heat exchangers are widely used process equipment in industrial sectors, making the study of their temperature dynamics particularly appealing due to the nonlinearities involved. Model-free approaches enable the use of input and output data to generate specific and accurate estimations for each proposed [...] Read more.
Heat exchangers are widely used process equipment in industrial sectors, making the study of their temperature dynamics particularly appealing due to the nonlinearities involved. Model-free approaches enable the use of input and output data to generate specific and accurate estimations for each proposed system. In this work, a model-free identification strategy is proposed using a convolutional neural network to estimate the system’s behavior. Notably, the model does not rely on direct temperature measurements; instead, temperature is inferred from other system signals such as reference, flow, and control inputs. This data-driven approach offers greater specificity and adaptability, often outperforming manufacturer-provided coefficients whose performance may vary from design expectations. The results yielded an R2 index of 0.9951 under nominal conditions and 0.9936 when the system was subjected to disturbances. Full article
(This article belongs to the Special Issue Modelling of Nonlinear Dynamical Systems)
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12 pages, 253 KB  
Article
Health Behavior-Related Correlates of Physical and Mental Health Among Potential Conscripts
by Brigita Mieziene, Kristina Motiejunaite and Arunas Emeljanovas
Nutrients 2025, 17(20), 3214; https://doi.org/10.3390/nu17203214 (registering DOI) - 14 Oct 2025
Abstract
Background: The nation’s defense relies on a cadre of young individuals with strong physical and mental health. The study aimed to identify health behavior-related correlates of physical and mental health in future conscripts. Methods: This cross-sectional study comprised 676 male school [...] Read more.
Background: The nation’s defense relies on a cadre of young individuals with strong physical and mental health. The study aimed to identify health behavior-related correlates of physical and mental health in future conscripts. Methods: This cross-sectional study comprised 676 male school students with an average age of 18.48 (1.15) years. The measures of weekly physical activity, nutrition (Kidmed questionnaire), psychological well-being (WHO-5 Well-Being Index), psychological distress (Kessler scale), cardiorespiratory fitness (20 m Shuttle Run test), weight, and height for calculation of body mass index were taken. Results: Among potential conscripts (17–19-year-old males), 22% have poor cardiorespiratory fitness. More than a quarter of young males have poor psychological well-being. Better cardiorespiratory fitness is related to more recommendations-adherent nutrition (Std β = 0.133 [0.03–0.14], p < 0.05). Engagement in sports is related to better cardiorespiratory fitness (Std β = 0.202 [0.10–0.30], p < 0.05). Higher psychological distress is associated with more time spent passively (Std β = 0.145 [0.12–0.34], p < 0.01); better psychological well-being is associated with more adherent nutrition (Std β = 0.172 [0.14–0.34], p < 0.0001), more hours accumulated in moderate-to-vigorous physical activity (Std β = 0.150 [0.30–1.10], p < 0.01), and less time spent passively (Std β = −0.131 [−0.34–−0.11]). Conclusions: Potential conscripts’ physical fitness and mental health are related to better health behaviors. Behavior change practices and policies applied at school could benefit potential conscripts and youth in general in terms of their physical and mental health. Full article
(This article belongs to the Section Nutrition Methodology & Assessment)
24 pages, 13555 KB  
Article
A Visual Trajectory-Based Method for Personnel Behavior Recognition in Industrial Scenarios
by Houquan Wang, Tao Song, Zhipeng Xu, Songxiao Cao, Bin Zhou and Qing Jiang
Sensors 2025, 25(20), 6331; https://doi.org/10.3390/s25206331 (registering DOI) - 14 Oct 2025
Abstract
Accurate recognition of personnel behavior in industrial environments is essential for asset protection and workplace safety, yet complex environmental conditions pose a significant challenge to its accuracy. This paper presents a novel, lightweight framework to address these issues. We first enhance a YOLOv8n [...] Read more.
Accurate recognition of personnel behavior in industrial environments is essential for asset protection and workplace safety, yet complex environmental conditions pose a significant challenge to its accuracy. This paper presents a novel, lightweight framework to address these issues. We first enhance a YOLOv8n model with Receptive Field Attention Convolution (RFAConv) and Efficient Multi-scale Attention (EMA) mechanisms, achieving a 6.9% increase in AP50 and a 4.2% increase in AP50:95 over the baseline. Continuous motion trajectories are then generated using the BOT-SORT algorithm and geometrically corrected via perspective transformation to produce a high-fidelity bird’s-eye view. Finally, a set of discriminative trajectory features is classified using a Random Forest model, attaining F1-scores exceeding 82% for all behaviors on our proprietary industrial dataset. The proposed framework provides a robust and efficient solution for real-time personnel behavior recognition in challenging industrial settings. Future work will focus on exploring more advanced algorithms and validating the framework’s performance on edge devices. Full article
(This article belongs to the Section Sensing and Imaging)
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18 pages, 769 KB  
Review
Living with Risk, Aging with Uncertainty: A Narrative Review of Health and Genetic Vulnerability in Huntington’s Disease
by Adriana V. Muñoz-Ortega, David Conde Caballero and Lorenzo Mariano Juárez
Biomedicines 2025, 13(10), 2498; https://doi.org/10.3390/biomedicines13102498 (registering DOI) - 14 Oct 2025
Abstract
Background/Objectives: Huntington’s disease (HD) is an autosomal dominant, neurodegenerative disorder that, because of the availability of presymptomatic genetic testing, places at-risk individuals in an anticipatory situation of great emotional, ethical, and social complexity. This review synthesizes the subjective experiences and coping strategies [...] Read more.
Background/Objectives: Huntington’s disease (HD) is an autosomal dominant, neurodegenerative disorder that, because of the availability of presymptomatic genetic testing, places at-risk individuals in an anticipatory situation of great emotional, ethical, and social complexity. This review synthesizes the subjective experiences and coping strategies of individuals aware of their genetic risk before clinical diagnosis, emphasizing the importance of patient and family narratives as critical sources of evidence for enhancing care protocols. Methods: This work is a narrative review supported by a systematic literature search. Of the 75 studies analyzed, 22 met the inclusion criteria—i.e., qualitative research, reviews, and case studies addressing emotional, cognitive, behavioral, and ethical coping mechanisms. The information was structured within a thematic matrix, and inductive coding was applied to identify recurring patterns, unresolved tensions, and gaps in the literature. Results: Presymptomatic genetic diagnosis may trigger processes of anticipatory grief, disrupt individual and familial identity, and lead to constant somatic self-monitoring. Coping strategies vary from proactive approaches—e.g., seeking information and building support networks—to narrative reframing that emphasizes acceptance and the resignification of risk. Analyzing these narratives allowed us to identify silenced ethical dilemmas and family rituals that help alleviate uncertainty—dimensions often overlooked by traditional quantitative methods. Moreover, risk awareness also impacts reproductive and care planning decisions, underscoring the importance of ongoing, context-sensitive support. Conclusions: Coping with genetic risk in Huntington’s disease extends beyond the biomedical aspects to encompass relational, ethical, and narrative dimensions. Incorporating narrative-based medicine into genetic and psychosocial counseling is crucial for identifying implicit needs and providing more empathetic, individualized care. Full article
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23 pages, 2906 KB  
Article
Effect of PEG-600 Incorporation on the Mechanical and Thermal Response of Tunable Fiber-Reinforced Shape Memory Polymer Composites
by Marylen T. De la Cruz, Riana Gabrielle P. Gamboa, Ricky Kristan M. Raguindin, Jon Dewitt E. Dalisay and Eduardo R. Magdaluyo
Polymers 2025, 17(20), 2742; https://doi.org/10.3390/polym17202742 - 14 Oct 2025
Abstract
Shape memory polymer composites (SMPCs) are an intelligent class of materials capable of self-actuation, offering promising applications in diverse stimuli-responsive material systems. This study developed epoxy-based SMPCs reinforced with carbon–aramid fibers at a 15:85 ratio, with their glass transition temperature (Tg) [...] Read more.
Shape memory polymer composites (SMPCs) are an intelligent class of materials capable of self-actuation, offering promising applications in diverse stimuli-responsive material systems. This study developed epoxy-based SMPCs reinforced with carbon–aramid fibers at a 15:85 ratio, with their glass transition temperature (Tg) tailored by incorporating 5 wt.% (SMPC-5) and 10 wt.% (SMPC-10) polyethylene glycol (PEG-600). Dynamic mechanical analysis (DMA) confirmed that PEG addition effectively reduced the Tg from 89.79 °C in the neat composite (SMPC-P) to 70.28 °C in SMPC-5 and 59.34 °C in SMPC-10. Incorporating 5 wt.% PEG enhanced storage and loss moduli, whereas excessive plasticization at 10 wt.% reduced stiffness. Infrared spectroscopy analysis revealed shifts and increased intensities in hydroxyl (OH), aliphatic C-H, and carbonyl (C=O) groups, indicating enhanced intermolecular interactions and bond formation. Tensile testing showed that the carbon–aramid filler significantly improved tensile strength and stiffness, with SMPC-10 achieving the highest tensile strength (233.59 MPa) and SMPC-5 the highest Young’s modulus (14.081 GPa). These results highlight the complementary role of carbon–aramid reinforcement and PEG plasticization in tuning thermomechanical behavior, providing baseline insights for designing SMPCs with tailored actuation and reliable structural performance. Full article
(This article belongs to the Special Issue Multifunctional Polymer Composite Materials, 2nd Edition)
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16 pages, 6203 KB  
Article
Microcirculation-Promoting Effect of Escin on Cutaneous Tissue via Gsk3β Down-Regulation
by Jaeyoon Kim, Jang Ho Joo, Heena Rim, Sung Hyun Kim, Jae young Shin, Seung-Hyun Jun and Nae-Gyu Kang
Curr. Issues Mol. Biol. 2025, 47(10), 840; https://doi.org/10.3390/cimb47100840 (registering DOI) - 14 Oct 2025
Abstract
Microcirculation in cutaneous tissue is essential to balance oxygen delivery and maintain the health of the skin. Senescence contributes to microcirculatory dysfunction through mechanisms involving chronic inflammation, structural remodeling of microvessels, and disturbances in hemodynamics. In this study we investigated the promoting effect [...] Read more.
Microcirculation in cutaneous tissue is essential to balance oxygen delivery and maintain the health of the skin. Senescence contributes to microcirculatory dysfunction through mechanisms involving chronic inflammation, structural remodeling of microvessels, and disturbances in hemodynamics. In this study we investigated the promoting effect of escin on blood flow through topical application. To elucidate the molecular mechanisms of escin, kinase phosphorylation changes in human umbilical vein endothelial cells (HUVECs) were examined. Escin stimulates the Wnt/β-Catenin and c-Jun N-terminal kinase (JNK) signaling pathway in cultured HUVECs. To clarify the target of escin in the Wnt/β-Catenin signaling pathway, gene expression in response to escin treatment was evaluated, and escin-mediated signaling activation was accompanied by glycogen synthase kinase-3 beta (Gsk3β), according to inhibitor studies performed with IWR1 (tankyrase inhibitor). In addition, the expression level of the Gsk3β were down-regulated by escin treatment in cultured HUEVCs. Escin also enhanced vascular remodeling, and, when applied topically, led to a sustained increase in cutaneous blood flow. Escin-mediated Wnt signaling activation could enhance blood vessel networks via Gsk3β down-regulation. In conclusion, our data demonstrate that escin promotes angiogenic behavior and enhances adenosine-induced perfusion in humans, thereby supporting its potential role in modulating cutaneous microcirculation. Full article
(This article belongs to the Section Biochemistry, Molecular and Cellular Biology)
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19 pages, 3592 KB  
Article
Comparing AI-Assisted and Traditional Teaching in College English: Pedagogical Benefits and Learning Behaviors
by Changyi Li and Jiang Long
Information 2025, 16(10), 895; https://doi.org/10.3390/info16100895 (registering DOI) - 14 Oct 2025
Abstract
In the era of artificial intelligence, higher education is embracing new opportunities for pedagogical innovation. This study investigates the impact of integrating AI into college English teaching, focusing on its role in enhancing students’ critical thinking and academic engagement. A controlled experiment compared [...] Read more.
In the era of artificial intelligence, higher education is embracing new opportunities for pedagogical innovation. This study investigates the impact of integrating AI into college English teaching, focusing on its role in enhancing students’ critical thinking and academic engagement. A controlled experiment compared AI-assisted instruction with traditional teaching, revealing that AI-supported learning improved overall English proficiency, especially in writing skills and among lower- and intermediate-level learners. Behavioral analysis showed that the quality of AI interaction—such as meaningful feedback adoption and autonomous revision—was more influential than mere usage frequency. Student feedback further suggested that AI-enhanced teaching stimulated motivation and self-efficacy while also raising concerns about potential overreliance and shallow engagement. These findings highlight both the promise and the limitations of AI in language education, underscoring the importance of teacher facilitation and thoughtful design of human–AI interaction to support deep and sustainable learning. Full article
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23 pages, 7146 KB  
Article
Creep Performance and Viscoelastic Constitutive Relationship of Structural Acrylic Connected Using Bulk Polymerization Technique
by Zongyi Wang, Yuhao Liu, Bailun Zhang, Yuanqing Wang, Jianxia Xiao, Wei Cheng, Ming Huang and Yulong Song
Buildings 2025, 15(20), 3691; https://doi.org/10.3390/buildings15203691 (registering DOI) - 14 Oct 2025
Abstract
Acrylic is increasingly being used in structural engineering applications due to its characteristics of light weight, capability of bulk polymerization, and absence of self-destruction risk, compared to tempered glass. However, structural acrylic exhibits creep behavior when subjected to prolonged loading. In order to [...] Read more.
Acrylic is increasingly being used in structural engineering applications due to its characteristics of light weight, capability of bulk polymerization, and absence of self-destruction risk, compared to tempered glass. However, structural acrylic exhibits creep behavior when subjected to prolonged loading. In order to study the creep performance of structural acrylic base material and coupons connected using the bulk polymerization technique, short-term tensile tests and long-term creep tests were conducted, and the effect of annealing temperature controlled in the bulk polymerization process was considered. The results show that annealing temperature significantly affects the quality of bulk polymerization. The Burgers model accurately describes the viscoelastic behavior of acrylic, and the Prony series converted from the parameters in the Burgers model can be directly implemented in Abaqus and accurately simulates the creep behavior of acrylic. The equation proposed in this study, on the basis of the Findley model, is precise enough to predict the creep curves of acrylic base material and connecting coupons. The Time–Stress Superposition Principle is valid when the time is greater than the threshold value. Full article
(This article belongs to the Section Building Materials, and Repair & Renovation)
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23 pages, 5682 KB  
Article
Design and Evaluation of a Thermally Stable and Salt-Resistant Amphoteric Surfactant-Based Fracturing Fluid for High-Performance Hydraulic Stimulation
by Baoge Cao, Linlin Li and Fanchen Ma
Polymers 2025, 17(20), 2741; https://doi.org/10.3390/polym17202741 - 14 Oct 2025
Abstract
As oil and gas exploration advances, the development of deep, low-permeability, high-temperature, and high-salinity reservoirs poses increasing challenges. To address this, a novel amphoteric surfactant (TASS) was synthesized via free radical polymerization, and a high-performance water-based fracturing fluid system was developed. The system [...] Read more.
As oil and gas exploration advances, the development of deep, low-permeability, high-temperature, and high-salinity reservoirs poses increasing challenges. To address this, a novel amphoteric surfactant (TASS) was synthesized via free radical polymerization, and a high-performance water-based fracturing fluid system was developed. The system exhibited excellent thermal and salt resistance, with viscosity decreasing by less than 3.3% after 72 h at 150 °C and 20 wt% NaCl. It demonstrated clear shear-thinning behavior and strong elasticity. Interfacial activity tests showed that increasing NaCl concentrations reduced interfacial tension from 28.5 to 24.3 mN/m, while the contact angle on sandstone surfaces decreased significantly, indicating enhanced wettability and oil flow. Field applications further confirmed its effectiveness, with oil and gas production increasing by 81% and 133%, respectively, and a payback period of around 10 days. These results highlight the TASS fracturing fluid as a promising solution for stimulation in complex reservoirs. Unlike conventional betaine-type VES, the silane-grafted amphoteric design of TASS ensures viscosity retention at 220 °C and 25 wt% salinity. Full article
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21 pages, 783 KB  
Article
Inverse Judd–Ofelt Formalism Based on Radiative Lifetime for Comparative Spectroscopy of RE3+ Ions in Glass
by Helena Cristina Vasconcelos, Maria Gabriela Meirelles and Reşit Özmenteş
Photonics 2025, 12(10), 1011; https://doi.org/10.3390/photonics12101011 - 13 Oct 2025
Abstract
This work shows that inverse Judd–Ofelt (JO) analysis of relative absorption spectra, anchored by a single lifetime, provides JO parameters and radiative rates without absolute calibration. The method is applied to Er3+, Dy3+, and Sm3+ in a compositionally [...] Read more.
This work shows that inverse Judd–Ofelt (JO) analysis of relative absorption spectra, anchored by a single lifetime, provides JO parameters and radiative rates without absolute calibration. The method is applied to Er3+, Dy3+, and Sm3+ in a compositionally identical oxyfluoride glass. Three well-resolved ground-state 4f–4f absorption bands were selected. After baseline removal and wavenumber-domain integration, their normalized strengths Srel,k (k = 1, 2, 3; k∈S) define a 3 × 3 system solved by non-negative least squares to obtain the anchor-independent ordering (Ω246). Absolute scaling uses a single lifetime anchor. We report lifetime-scaled Ωt and Arad, and the normalized fractions pk within the selected triplets; as imposed by the method, the anchor-independent ordering (Ω246) is analyzed, while absolute Arad and Ωt scale with τref. The extracted parameters fall within the expected ranges for oxyfluoride hosts and reveal clear ion-specific trends: Ω2 follows Dy3+ > Er3+ > Sm3+ (site asymmetry/hypersensitive response), while the ordering Ω4 > Ω6 holds across all ions (oxide-rich networks). Er3+ exhibits the largest Ω4 and the smallest Ω6, indicative of pronounced medium-range “rigidity” with suppressed long-range polarizability; Sm3+ shows the lowest Ω2 (more symmetric/less covalent coordination); and Dy3+ the highest Ω2 (strong hypersensitive behavior). Uncertainty was quantified by Monte Carlo resampling of the preprocessing steps, yielding compact 95% confidence intervals; the resulting JO-parameter trends (Ω2, Ω4, Ω6) and normalized fk fractions reproduce the characteristic spectroscopic behavior known for each ion. This method enables quantitative JO outputs from uncalibrated spectra, allowing direct spectroscopic comparisons and quick screening when only relative absorption data are available. Full article
(This article belongs to the Section Optoelectronics and Optical Materials)
16 pages, 682 KB  
Article
Confusion Assessment Protocol: Italian Cross-Cultural Adaptation and Validation
by Giulia Ferri, Anna Carannante, Manuela Iannetti, Sara Schiattone, Paola Ciurli, Fabiana Mogavero, Valentina Massimi, Marta Aloisi, Rita Formisano and Marco Giustini
Brain Sci. 2025, 15(10), 1102; https://doi.org/10.3390/brainsci15101102 - 13 Oct 2025
Abstract
Background: This study validated the Italian version of the Confusion Assessment Protocol (CAP), a tool designed to assess Post-Traumatic Confusional State (PTCS) in patients with severe acquired brain injury (sABI) who are not evaluable with standard neuropsychological evaluations. Objectives: The primary aim [...] Read more.
Background: This study validated the Italian version of the Confusion Assessment Protocol (CAP), a tool designed to assess Post-Traumatic Confusional State (PTCS) in patients with severe acquired brain injury (sABI) who are not evaluable with standard neuropsychological evaluations. Objectives: The primary aim of this study was to promote the CAP as a tool for assessing patients who are not still eligible for standard neuropsychological evaluation and to adapt it to Italian-speaking sABI patients by translating it into Italian and conducting a cross-cultural adaptation and evaluating its psychometric properties. The secondary objective was to correlate the CAP scores with broader functional scales, such as the Levels of Cognitive Functioning Assessment Scale (LCF) and Disability Rating Scale (DRS). Methods: A total of 42 sABI patients were enrolled at IRCCS Fondazione Santa Lucia. The CAP was translated and culturally adapted using international back-translation guidelines. Cross-cultural validity was assessed in 20 patients. The final version was administered by three trained raters over two days to evaluate inter- and intra-rater reliability. Results: The Italian version of the CAP demonstrated high internal consistency and substantial inter-rater reliability for key symptoms, including night-time sleep disturbances, decreased daytime arousal, and psychotic-type symptoms. Cognitive impairment showed moderate inter-rater agreement, likely due to symptom fluctuations typical of this recovery phase. The convergent validity of the CAP was confirmed through its correlations with the Levels of Cognitive Functioning (LCF) and the Disability Rating Scale (DRS), demonstrating its clinical utility in integrating cognitive and behavioral symptom assessments. Conclusions: The Italian version of the CAP is a reliable and valid tool for assessing PTCS in sABI. Future developments should address limitations related to symptom intensity, behavioral domains, and differential symptom weighting. Full article
(This article belongs to the Special Issue At the Frontiers of Neurorehabilitation: 3rd Edition)
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12 pages, 680 KB  
Article
Brief and Valid? Testing the SDQ for Measuring General Psychopathology in Children
by Victòria Copoví-Gomila, Alfonso Morillas-Romero, Raül López Penadés, María del Àngels Ollers-Adrover and Maria Balle
Behav. Sci. 2025, 15(10), 1387; https://doi.org/10.3390/bs15101387 (registering DOI) - 13 Oct 2025
Abstract
Background: The general psychopathology factor (p factor) is central to understanding the shared variance across mental disorders, offering a dimensional alternative to traditional diagnostic models. The early identification of this factor in childhood is key for improving prevention and intervention strategies. This study [...] Read more.
Background: The general psychopathology factor (p factor) is central to understanding the shared variance across mental disorders, offering a dimensional alternative to traditional diagnostic models. The early identification of this factor in childhood is key for improving prevention and intervention strategies. This study evaluated the Strengths and Difficulties Questionnaire (SDQ) as a brief measure to assess p factor in children. Methods: A community sample of 284 children, ages 6 to 12, was assessed using parent-reported SDQ and the Child Behavior Checklist (CBCL). Confirmatory Factor Analyses compared two models of psychopathology: a higher-order model and a first-order bifactor model. Results: Results showed that the bifactor model provided a better fit for both instruments, with the SDQ showing particularly strong fit indices. Moreover, SDQ-derived p factor scores were strongly correlated with key CBCL scales, particularly attention and externalizing problems, supporting its concurrent validity. Conclusions: These findings suggest that the SDQ, due to its brevity and psychometric robustness, is a valid alternative to the CBCL for assessing general psychopathology in children. Full article
(This article belongs to the Section Developmental Psychology)
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21 pages, 2666 KB  
Article
Maintenance-Aware Risk Curves: Correcting Degradation Models with Intervention Effectiveness
by F. Javier Bellido-Lopez, Miguel A. Sanz-Bobi, Antonio Muñoz, Daniel Gonzalez-Calvo and Tomas Alvarez-Tejedor
Appl. Sci. 2025, 15(20), 10998; https://doi.org/10.3390/app152010998 - 13 Oct 2025
Abstract
In predictive maintenance frameworks, risk curves are used as interpretable, real-time indicators of equipment degradation. However, existing approaches generally assume a monotonically increasing trend and neglect the corrective effect of maintenance, resulting in unrealistic or overly conservative risk estimations. This paper addresses this [...] Read more.
In predictive maintenance frameworks, risk curves are used as interpretable, real-time indicators of equipment degradation. However, existing approaches generally assume a monotonically increasing trend and neglect the corrective effect of maintenance, resulting in unrealistic or overly conservative risk estimations. This paper addresses this limitation by introducing a novel method that dynamically corrects risk curves through a quantitative measure of maintenance effectiveness. The method adjusts the evolution of risk to reflect the actual impact of preventive and corrective interventions, providing a more realistic and traceable representation of asset condition. The approach is validated with case studies on critical feedwater pumps in a combined-cycle power plant. First, individual maintenance actions are analyzed for a single failure mode to assess their direct effectiveness. Second, the cross-mode impact of a corrective intervention is evaluated, revealing both direct and indirect effects. Third, corrected risk curves are compared across two redundant pumps to benchmark maintenance performance, showing similar behavior until 2023, after which one unit accumulated uncontrolled risk while the other remained stable near zero, reflected in their overall performance indicators (0.67 vs. 0.88). These findings demonstrate that maintenance-corrected risk curves enhance diagnostic accuracy, enable benchmarking between comparable assets, and provide a missing piece for the development of realistic, risk-informed predictive maintenance strategies. Full article
(This article belongs to the Special Issue Big-Data-Driven Advances in Smart Maintenance and Industry 4.0)
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18 pages, 355 KB  
Article
The Impact of Environmental Regulation and Cognition of Manure Treatment on the Resource Utilization Behaviors of Swine Farmers
by Jianqiang Li, Hongming Liu, Xingqiang Zheng, Wenjie Liu and Huan Wang
Agriculture 2025, 15(20), 2131; https://doi.org/10.3390/agriculture15202131 - 13 Oct 2025
Abstract
The resource utilization of swine manure represents a critical pathway for advancing sustainable agricultural development. This study, based on survey data from 509 swine farmers in Sichuan Province, employs the Ordered Probit (Oprobit) model and the Conditional Mixed Process (CMP) model to analyze [...] Read more.
The resource utilization of swine manure represents a critical pathway for advancing sustainable agricultural development. This study, based on survey data from 509 swine farmers in Sichuan Province, employs the Ordered Probit (Oprobit) model and the Conditional Mixed Process (CMP) model to analyze the mechanisms and pathways through which cognition about manure treatment, environmental regulation, and their interaction influence farmers’ behaviors towards manure resource utilization. It further delves into the heterogeneous characteristics of influencing factors. The findings reveal the following: (1) Farmers possess a high level of cognition regarding manure treatment, while environmental regulation is moderately implemented. The principal methods of manure resource utilization focus on recycling to fields and organic fertilizer production, with over 95% of farmers adopting at least one method of resource utilization. (2) Both cognition of manure treatment and environmental regulation significantly promote the behavior of manure resource utilization. There are substitutive or complementary effects between moral cognition and constraint regulation, as well as capability cognition and guidance regulation. (3) Among the farming community, the behavior of large-scale farmers is mainly influenced by moral cognition, whereas non-large-scale farmers are more affected by capability cognition and guidance regulation; middle-aged and young farmers are predominantly influenced by capability cognition, incentives, and guidance regulation, whereas the older generation of farmers is driven more by moral cognition and guidance regulation. Based on these insights, this study proposes targeted strategies for enhancing cognition and regulatory alignment across different groups, aiming to elevate the level of manure resource utilization and promote the green transformation of livestock farming. Full article
(This article belongs to the Section Farm Animal Production)
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