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12 pages, 289 KiB  
Article
Family Functioning and Prosocial Behavior in School-Aged Children: A Quantitative Analysis of Relational Dynamics
by Marina-Nikoletta Gkoulemani and Georgios Giannakopoulos
Fam. Sci. 2025, 1(1), 4; https://doi.org/10.3390/famsci1010004 (registering DOI) - 8 Aug 2025
Abstract
Prosocial behavior—children’s capacity to empathize, share, and cooperate—is essential for healthy emotional and social development. While family context plays a critical role in fostering these behaviors, the influence of overall family functioning remains underexplored. This study examines the association between perceived family functioning [...] Read more.
Prosocial behavior—children’s capacity to empathize, share, and cooperate—is essential for healthy emotional and social development. While family context plays a critical role in fostering these behaviors, the influence of overall family functioning remains underexplored. This study examines the association between perceived family functioning and prosocial behavior in school-aged children. A cross-sectional design was employed with a sample of 127 parents of children aged 6 to 12 years. Family functioning was assessed using the General Functioning Subscale of the McMaster Family Assessment Device (FAD), and child prosocial behavior was measured via the parent-reported Strengths and Difficulties Questionnaire (SDQ). Analyses included Pearson correlations, linear regression, and group comparisons by gender, education, employment status, and subjective socioeconomic status. Higher family functioning (i.e., lower FAD scores) significantly predicted higher prosocial behavior scores (β = −1.48, R2 = 0.12, p < 0.001). A significant difference in prosocial behavior was found between socioeconomic groups, with children from high-income families scoring significantly higher than those from middle-income families. However, family functioning accounted for a greater proportion of the variance than socioeconomic status. These findings underscore the role of family relational quality in shaping children’s social development and highlight its importance in early interventions. Full article
26 pages, 38182 KiB  
Article
Soil Inorganic Carbon Losses Counteracted Soil Organic Carbon Increases in Deeper Soil over 30 Years in North China
by Yuanyuan Tang, Xiangyun Yang, Xinru Wang, Guohong Du, Mukesh Kumar Soothar, Qi Tian and Yanbing Qi
Land 2025, 14(8), 1616; https://doi.org/10.3390/land14081616 - 8 Aug 2025
Abstract
Finding out the dynamics of soil organic carbon and inorganic carbon is paramount for sustaining terrestrial carbon cycling and climate change mitigation. From the 1980s to 2010s, substantial changes in land use, climate, and agricultural practices have occurred across North China. This study [...] Read more.
Finding out the dynamics of soil organic carbon and inorganic carbon is paramount for sustaining terrestrial carbon cycling and climate change mitigation. From the 1980s to 2010s, substantial changes in land use, climate, and agricultural practices have occurred across North China. This study systematically quantified the stratified dynamics of soil carbon stocks (0–100 cm with 20 cm intervals) and their compositional shifts by using the geographically weighted regression kriging model. The model integrated soil sample data from provincial surveys across North China with key environmental covariates (e.g., elevation, precipitation, air temperature, and the vegetation index) to spatially predict and analyze vertical carbon stock changes. The results indicated that soil carbon stocks decreased considerably by 5.86 Gt in the one-meter soil profile from the 1980s to the 2010s. Significant losses in soil inorganic carbon stocks directly contributed to net soil carbon sources. These significant soil inorganic carbon losses of 7.03 Gt, originating primarily from losses of 7.35 Gt in deeper soil layers (20–100 cm), effectively offset increases of 1.17 Gt in soil organic carbon. About two-thirds of regions in North China have been categorized as carbon source regions. These are distributed for the most part in arid and semi-arid areas and the Qinghai–Tibet Plateau. The remaining one-third of regions have been classified as carbon sink regions which are primarily found in the Loess Plateau, the Huang–Huai–Hai Plain, the Middle-lower Yangtze Plain, and the Northeast China Plain. Significant losses in soil inorganic carbon stocks caused by strong carbon sources may undermine global measures aimed at enhancing terrestrial ecosystem carbon sequestration and fixation. Our results highlight the urgent need to account for vulnerable subsurface inorganic carbon pools in regional carbon sequestration strategies and climate models. Full article
38 pages, 6389 KiB  
Review
Mobility and Handover Management in 5G/6G Networks: Challenges, Innovations, and Sustainable Solutions
by Bilal Saoud, Ibraheem Shayea, Mohammad Ahmed Alnakhli and Hafizal Mohamad
Technologies 2025, 13(8), 352; https://doi.org/10.3390/technologies13080352 - 8 Aug 2025
Abstract
Compared to 4G long-term evolution (LTE) networks, 5G and 6G networks provide fast data transmission with little delay, larger base station capacity, enhanced quality of service (QoS), and extensive multiple-input-multiple-output (MIMO) channels. Nevertheless, the attainment of mobility and handover (HO) in 5/6G networks [...] Read more.
Compared to 4G long-term evolution (LTE) networks, 5G and 6G networks provide fast data transmission with little delay, larger base station capacity, enhanced quality of service (QoS), and extensive multiple-input-multiple-output (MIMO) channels. Nevertheless, the attainment of mobility and handover (HO) in 5/6G networks has been hindered by substantial changes in intelligent devices and the high-definition applications of multimedia. Therefore, the existing cellular network is compared with difficulties in transmitting large amounts of data at a faster rate, ensuring high QoS, minimizing latency, and efficiently managing HOs and mobility. This paper primarily addresses the difficulties related to HO and mobility management in 5G/6G networks. The findings of this paper emphasize the importance of aligning mobility and HO strategies with sustainable development goals to reduce energy consumption and improve resource allocation. It focuses on integrating innovative technologies such as artificial intelligence and machine learning to enhance the sustainability and efficiency of mobility and HO management. The paper provides a comprehensive analysis of the current body of the literature and explores essential metrics for measuring performance (known as KPIs) and potential solutions for difficulties linked to HO and mobility. The analysis takes into account established standards in the field. Furthermore, it assesses the effectiveness of existing models in dealing with HO and mobility management problems, considering criteria such as energy efficiency, dependability, latency, and scalability. This survey concludes by highlighting key challenges associated with HO and mobility management in existing research models. It also offers comprehensive assessments of the proposed solutions, accompanied by suggestions for future research. Full article
(This article belongs to the Section Information and Communication Technologies)
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25 pages, 4718 KiB  
Article
Development of Energy Management Systems for Electric Vehicle Charging Stations Associated with Batteries: Application to a Real Case
by Jon Olano, Haritza Camblong, Jon Ander López-Ibarra and Tek Tjing Lie
Appl. Sci. 2025, 15(16), 8798; https://doi.org/10.3390/app15168798 - 8 Aug 2025
Abstract
Implementing an effective energy management system (EMS) is essential for optimizing electric vehicle (EV) charging stations (EVCSs), especially when combined with battery energy storage systems (BESSs). This study analyzes a real-world EVCS scenario and compares several EMS approaches, aiming to reduce operating costs [...] Read more.
Implementing an effective energy management system (EMS) is essential for optimizing electric vehicle (EV) charging stations (EVCSs), especially when combined with battery energy storage systems (BESSs). This study analyzes a real-world EVCS scenario and compares several EMS approaches, aiming to reduce operating costs while accounting for BESS degradation. Initially, significant savings were achieved by optimizing the EV charging schedule using genetic algorithms (GAs), even without storage. Next, different BESS-based EMSs, including rule-based and fuzzy logic systems, were optimized via GAs. Finally, in a dynamic scenario with variable electricity prices and demand, the adaptive GA-optimized fuzzy logic EMS was found to achieve the best performance, reducing annual operating costs by 15.6% compared to the baseline strategy derived from real fleet data. Full article
20 pages, 878 KiB  
Article
Assessment of Ecosystem Service Value and Implementation Pathways: A Case Study of Jiangsu Jianchuan Ecological Restoration Project
by Pinjie Zhang, Jingyan Wang, Yijia Zhu, Pingyan Ge and Zhunqiao Liu
Land 2025, 14(8), 1618; https://doi.org/10.3390/land14081618 - 8 Aug 2025
Abstract
Over recent decades, coastal wetlands in Jiangsu Province have faced multiple challenges, including overfishing, reclamation for aquaculture, wetland shrinkage, and biodiversity loss. Implementing wetland ecological restoration proves crucial for mitigating the degradation of coastal wetland ecosystems. Quantifying ecosystem service values and establishing rational [...] Read more.
Over recent decades, coastal wetlands in Jiangsu Province have faced multiple challenges, including overfishing, reclamation for aquaculture, wetland shrinkage, and biodiversity loss. Implementing wetland ecological restoration proves crucial for mitigating the degradation of coastal wetland ecosystems. Quantifying ecosystem service values and establishing rational ecological compensation standards provide essential references for ecological compensation research and alleviating human–land conflicts. The Jianchuan Ecological Restoration Project, located in Dafeng District of Yancheng City, Jiangsu Province, employs integrated wetland, woodland, and farmland construction to rebuild biodiversity, enhance water conservation capacity, and improve water purification functions, thereby significantly boosting regional ecological services. Results have demonstrated that the total ecosystem service value of this project reaches CNY 76.2896 million, with climate regulation representing the highest value (CNY 68.1496 million, 89.33% of total). Subsequent values include biodiversity maintenance (3.40%), water purification (3.31%), and food production (2.95%), while carbon sequestration/oxygen release (0.96%) and soil retention (0.05%) show relatively lower contributions. Notably, this project innovatively integrates carbon finance mechanisms through “carbon sink loans”, achieving efficient transformation of ecological value from “paper accounts” to market realization. This study establishes a scientific foundation for ecological restoration projects through ecosystem service-based value assessment and pathway exploration, offering both theoretical framework and practical references. Full article
19 pages, 2206 KiB  
Article
In Vitro Modeling of Diurnal Changes in Bone Metabolism
by Sabrina Ehnert, Xiang Gao, Maximilian Heßlinger, Niklas R. Braun, Kevin A. Schulz, Denise Jahn, Fabian Springer and Andreas K. Nussler
Int. J. Mol. Sci. 2025, 26(16), 7699; https://doi.org/10.3390/ijms26167699 - 8 Aug 2025
Abstract
There is evidence that bone health is closely linked to a functioning circadian rhythm. Most of the evidence comes from mice, which may exhibit some species-specific differences from humans due to their nocturnal lifestyle. To address the current lack of human model systems, [...] Read more.
There is evidence that bone health is closely linked to a functioning circadian rhythm. Most of the evidence comes from mice, which may exhibit some species-specific differences from humans due to their nocturnal lifestyle. To address the current lack of human model systems, the present study aimed to develop an in vitro model system that can represent diurnal changes in bone metabolism. The model is based on co-cultured SCP-1 and THP-1 cells that serve as osteoblast and osteoclast precursors, respectively. Diurnal effects were induced by replacing the FCS in the differentiation medium with human serum pools (HSPs) obtained in the morning, noon, or evening. The model system was tested for cell viability, gene expression, and osteoblast and osteoclast function. The replacement of the FCS with the HSPs increased viability and induced expression changes in circadian clock genes in the model system. Resulting alterations in osteoblast and osteoclast function led to a gradual increase in mineral density and stiffness when 3D co-cultures were differentiated in the presence of the HSPs collected in the morning, noon, or evening, respectively. Here, we present for the first time an in vitro model that can present diurnal changes in bone metabolism in the form of a snapshot. With the simple use of HSPs, this model can be used as a platform technique to investigate bone function in various situations, taking into account the time of day. Full article
(This article belongs to the Section Molecular Endocrinology and Metabolism)
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19 pages, 1336 KiB  
Article
Impact of Age and Years in the Fire Service on Firefighter Health and Physical Performance Outcomes
by Jisun Chun, Michael J. Conner, Jacob A. Mota, Brian Newman, J. Jay Dawes, Steven E. Martin and Drew Edward Gonzalez
Healthcare 2025, 13(16), 1946; https://doi.org/10.3390/healthcare13161946 - 8 Aug 2025
Abstract
Background: Age is considered an independent cardiovascular disease (CVD) risk factor, but limited data exist concerning the impact of age and years in the fire service on firefighter health and physical performance. Objectives: We assessed the impact of age and years [...] Read more.
Background: Age is considered an independent cardiovascular disease (CVD) risk factor, but limited data exist concerning the impact of age and years in the fire service on firefighter health and physical performance. Objectives: We assessed the impact of age and years in the fire service on structural firefighter health and physical performance. Methods: 142 firefighters completed an annual clinical assessment. General linear model (GLM) multivariate and univariate analyses were performed across age groups, with years of fire service experience as a covariate. Partial Eta squared (ηp2) values for the GLM statics and Cohen’s d for pairwise comparisons were used to assess effect size. Results: GLM analyses revealed statistically significant differences (p < 0.05) for several demographic, body composition, blood biomarker, and physical performance parameters. Pairwise comparisons revealed that younger firefighters displayed more favorable health and fitness profiles than their older counterparts. Interestingly, when accounting for years of fire service experience, differences for only the following variables remained: body mass index, waist circumference, lean mass, visceral adipose tissue, triglycerides, cardiopulmonary exercise test time-to-exhaustion, and VO2max. Conclusions: These findings suggest differences in CVD risk biomarkers, physical fitness levels, and body composition metrics across age groups. However, years of fire service experience appears to have a greater impact on these variables, suggesting that firefighters’ time in the fire service may accelerate the effects of aging on these outcomes. While age-specific health interventions are recommended to manage and mitigate CVD risk effectively, there also should be consideration for the years of fire service. Full article
(This article belongs to the Special Issue Health and Readiness of Tactical Populations)
13 pages, 288 KiB  
Article
Independent Predictors of Mycoplasma pneumoniae Infection: A Retrospective Cohort Study Among Hospitalized Adults in an East Texas Health Facility
by Menkeoma Laura Okoli, Ibuchim Chinemerem Okoli, Abuoma Chisom Okoli, Ikechukwu Umezurike and Celestine Ishiekwene
J. Respir. 2025, 5(3), 13; https://doi.org/10.3390/jor5030013 - 8 Aug 2025
Abstract
Background: Community-acquired pneumonia in the United States accounts for over five million cases annually, with an estimated one million hospitalizations. About two million of these annual cases and over 100,000 annual hospitalizations are caused by mycoplasma pneumonia. Although mycoplasma can sometimes present as [...] Read more.
Background: Community-acquired pneumonia in the United States accounts for over five million cases annually, with an estimated one million hospitalizations. About two million of these annual cases and over 100,000 annual hospitalizations are caused by mycoplasma pneumonia. Although mycoplasma can sometimes present as a benign disease, it can cause severe complications, which are referred to as pulmonary and extrapulmonary complications. This study aims to identify independent predictors of Mycoplasma pneumoniae infection among adult patients in our facility in East Texas. Methods: This retrospective cohort study used data from the electronic health record (EPIC Systems). Multivariate analyses were conducted to determine variables independently associated with mycoplasma pneumonia. The main outcome variable was the presence of mycoplasma pneumonia as indicated by serology testing. Results: Among 1714 adult patients in our study population who underwent antibody testing, 297 (17.3%) tested positive for mycoplasma pneumonia. Mycoplasma pneumonia was significantly associated with age, sex, race, season, and tobacco use after controlling for other variables. Adults who do not use tobacco had lower odds of having mycoplasma pneumonia compared to adults who are currently using tobacco (OR = 0.64, C.I. = 0.48–0.75). Also, these adults are more likely to have MP during non-respiratory season as compared to respiratory season (OR = 1.25, C.I. = 1.10–1.61). Conclusions: Tobacco use, season, age, race, and sex were all significant predictors of mycoplasma pneumonia. These findings highlight target areas for health care professionals and organizations to tackle to help improve patient health outcomes. Full article
(This article belongs to the Collection Feature Papers in Journal of Respiration)
26 pages, 1729 KiB  
Article
Real-Time Energy Optimal Control of Two-Stage Reverse Osmosis Desalination
by Larry Gao, Yakubu A. Jarma, Panagiotis D. Christofides and Yoram Cohen
Water 2025, 17(16), 2363; https://doi.org/10.3390/w17162363 - 8 Aug 2025
Abstract
A two-level model-based control system for energy-optimal operation of a two-stage reverse osmosis (RO) membrane desalination system was developed and field demonstrated. The control scheme was based on the specific energy consumption (SEC) framework accounting for pump efficiencies, physical system constraints, and temporal [...] Read more.
A two-level model-based control system for energy-optimal operation of a two-stage reverse osmosis (RO) membrane desalination system was developed and field demonstrated. The control scheme was based on the specific energy consumption (SEC) framework accounting for pump efficiencies, physical system constraints, and temporal variability of feed salinity. The SEC framework consisted of a higher-level (supervisory) control system that guided a lower-level controller for real-time SEC optimization. The supervisory controller combined real-time plant data and the SEC model to determine the energy-optimal first-stage water recovery and the overall permeate water recovery (unless specified), and membrane permeability for a target permeate production. The derived operating state was then applied to control the RO plant operation through the lower-level control system, consisting of three separate feedback loops regulating the RO feed flow rate, first-stage RO pressure, and the second-stage RO pressure via control of the first-stage and second-stage RO feed pumps, and the RO concentrate valve. The two-level control system was demonstrated for a mobile brackish water desalination plant capable of permeate productivity up to 98 m3/day. Field testing demonstrated robust simultaneous control of the dynamically coupled control variables and effective energy-optimal operation. Full article
(This article belongs to the Section Water-Energy Nexus)
19 pages, 2934 KiB  
Systematic Review
A Systematic Review and Meta-Analysis of the Success Rate of the Primary Probing in Pediatric Patients with Congenital Nasolacrimal Duct Obstruction in Different Age Groups
by Zhansaya Sultanbayeva, Auyeskhan Dzhumabekov, Neilya Aldasheva, Botagoz Issergepova, Yerzhan Kuanyshbekov, Maiya Taushanova and Indira Karibayeva
Medicina 2025, 61(8), 1432; https://doi.org/10.3390/medicina61081432 - 8 Aug 2025
Abstract
Background: Primary probing of the nasolacrimal duct remains the first-line surgical intervention for congenital nasolacrimal duct obstruction (CNLDO) in infants and young children. However, age-dependent success rates have been less thoroughly investigated. This systematic review and meta-analysis aims to evaluate the age-related success [...] Read more.
Background: Primary probing of the nasolacrimal duct remains the first-line surgical intervention for congenital nasolacrimal duct obstruction (CNLDO) in infants and young children. However, age-dependent success rates have been less thoroughly investigated. This systematic review and meta-analysis aims to evaluate the age-related success rates of primary probing in children with CNLDO. Methods: Systematic literature searches were performed in PubMed, Web of Science, Scopus, ScienceDirect, and Google Scholar in May 2025. A random-effects model was applied to estimate the overall success rate, while sensitivity analyses and publication bias assessments were performed to explore sources of variability. All statistical analyses were carried out using the “meta” and “metafor” packages in RStudio. Results: This meta-analysis reveals age-stratified success rates of primary probing for CNLDO: the highest pooled success rate occurred in infants aged 0–6 months (90.67%, I2 = 81%, p < 0.01), with procedures under general anesthesia achieving 95.42% (I2 = 50%; p = 0.11) efficacy. Success rates remained favorable in the 6–12 month group (85.18%, I2 = 86%, p < 0.01 overall; 89.60% with general anesthesia) but declined progressively thereafter (82.34%, I2 = 78%, p < 0.01 at 12–24 months). While a modest rebound occurred in the 24–48 month group (85.33%, I2 = 69%, p < 0.01), the oldest cohort (48+ months) demonstrated markedly reduced efficacy (63.47%, I2 = 66%, p = 0.05), despite exclusive use of general anesthesia. Conclusion: Primary probing yields the most favorable outcomes when conducted before 12 months of age, particularly under general anesthesia. Nonetheless, the overall certainty of evidence is low—mainly due to variability across studies—which should be taken into account in clinical decision-making. Full article
(This article belongs to the Special Issue Advances in Diagnosis and Therapies of Ocular Diseases)
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27 pages, 17291 KiB  
Article
Application of a Modeling Framework to Mitigate Ozone Pollution in Changzhou, Yangtze River Delta Region
by Zhihui Kong, Chuchu Chen, Jiong Fang, Ling Huang, Hui Chen, Jiani Tan, Yangjun Wang, Li Li and Miao Ning
Sustainability 2025, 17(16), 7202; https://doi.org/10.3390/su17167202 - 8 Aug 2025
Abstract
Ozone pollution in densely populated urban regions poses a great threat to public health, due to the intensive anthropogenic emissions of ozone precursors and is further aggravated by global warming and the urban heat island phenomenon. Air quality models have been utilized to [...] Read more.
Ozone pollution in densely populated urban regions poses a great threat to public health, due to the intensive anthropogenic emissions of ozone precursors and is further aggravated by global warming and the urban heat island phenomenon. Air quality models have been utilized to formulate and evaluate air pollution control strategies. This study presents a comprehensive modeling assessment of ozone mitigation strategies during an ozone pollution episode in Changzhou, an industrial city in the Yangtze River Delta region. Utilizing the Community Multiscale Air Quality Modeling System (CMAQ), we quantified the contribution of ozone from different emission sectors and counties within Changzhou using the integrated source apportionment method (ISAM). During the pollution period, local emissions within Changzhou account for an average of 41.5% of MDA8 ozone, with particularly notable contributions from Jingkai (11.2%), Wujin (9.5%), and Liyang (7.8%). Upon these findings, we evaluated three sets of emission reduction scenarios: uniform, sector-specific, and county-specific reductions. Results show that industry and transportation are responsible for over 20% of ozone concentrations, and targeted reductions in these sources yielded the most significant decreases in ozone levels. Notably, reducing industrial emissions alone decreased ozone concentrations by 3.2 μg m−3 during the pollution episode. County-specific reductions revealed the importance of targeted strategies, with certain counties showing more pronounced responses to emission controls. On a daily basis, emission reductions in Xinbei contributed to a maximum ozone decrease of 4.4 μg m−3. This study provides valuable insights into the efficacy of different mitigation measures in Changzhou and offers a practical and useful framework for policymakers to implement strategies while addressing the complexities of urban air quality management. Full article
(This article belongs to the Section Pollution Prevention, Mitigation and Sustainability)
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24 pages, 15247 KiB  
Article
Differentiated Climate Drivers of Carbon and Water Use Efficiencies Across Land Use Types in the Yellow River Basin, China
by Xianglong Tang, Leshan Cai and Pengzhen Du
Land 2025, 14(8), 1614; https://doi.org/10.3390/land14081614 - 8 Aug 2025
Abstract
Given the crucial role of land use in shaping coupled water–carbon processes in ecosystems, it is essential to assess carbon use efficiency (CUE) and water use efficiency (WUE) across different land use types. This study established an analytical framework incorporating trend analysis, partial [...] Read more.
Given the crucial role of land use in shaping coupled water–carbon processes in ecosystems, it is essential to assess carbon use efficiency (CUE) and water use efficiency (WUE) across different land use types. This study established an analytical framework incorporating trend analysis, partial correlation, and relative contribution methods to evaluate how WUE and CUE in the Yellow River Basin (YRB) responded to key climatic variables between 2001 and 2023. It also identified the dominant climatic drivers across different land use types during 2001–2022. The principal findings were as follows: (1) from 2001 to 2023, the mean WUE and CUE were 0.73 g C m−2 mm−1 and 0.60, respectively. (2) Wetlands and croplands had higher WUE, while grasslands and shrublands showed higher CUE. (3) MAT was negatively correlated with WUE and CUE across 89% and 74% of the YRB, respectively, while MAP and SR showed spatially variable effects. (4) MAT was the dominant factor driving WUE variation across all land use types (accounting for approximately 40%). Except for shrublands, CUE was mainly influenced by MAP. These results highlight differentiated climate impacts across land use types, providing important insights for ecosystem restoration and spatial governance. Full article
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21 pages, 1086 KiB  
Article
Theoretical Analysis Model of a New Post-Tensioned, Unbonded, Prestressed Beam–Column Connection
by Hu Qi, Jie Qin, Wenxuan Zhang and Mengke Zhang
Buildings 2025, 15(16), 2823; https://doi.org/10.3390/buildings15162823 - 8 Aug 2025
Abstract
To investigate the mechanical properties of a new post-tensioned, unbonded, prestressed beam–column connection—including its hysteresis behavior and energy dissipation capacity—a theoretical analysis was conducted. Calculation formulas for key points on the moment–curvature (M-θ) hysteresis curve, including the yield point, failure point, and unloading [...] Read more.
To investigate the mechanical properties of a new post-tensioned, unbonded, prestressed beam–column connection—including its hysteresis behavior and energy dissipation capacity—a theoretical analysis was conducted. Calculation formulas for key points on the moment–curvature (M-θ) hysteresis curve, including the yield point, failure point, and unloading point, were derived. A theoretical model describing the M-θ relationship of the connection was established. The energy dissipation capacity, which is a critical mechanical property of such connections, was quantified through a derived formula for the energy dissipation coefficient, accompanied by a parametric analysis. The results show that increasing the area of energy dissipation reinforcement enhances the energy dissipation capacity of the connection. When the yield strength of the energy dissipation reinforcement equals the initial prestress of the tendons, the energy dissipation coefficient approaches 0.5. Considering the asymmetric reinforcement layout, a self-centering performance evaluation method—accounting for bending moments on both sides of the connection—is proposed. The conditions required to achieve self-centering behavior are derived. Finally, the proposed model is validated through a comparison with experimental results. Full article
(This article belongs to the Section Building Structures)
18 pages, 1412 KiB  
Article
An Automated Tool for Freight Carbon Footprint Estimation: Insights from an Automotive Case Study
by Souha Lehmam, Hind El Hassani and Louiza Rabhi
Future Transp. 2025, 5(3), 107; https://doi.org/10.3390/futuretransp5030107 - 8 Aug 2025
Abstract
Reducing carbon dioxide emissions in freight transportation is considered a key objective in contemporary sustainable supply chain management. While several tools and standards have been developed to estimate transport-related emissions, most rely on static assumptions, generic emission factors and are limited to single-scenario [...] Read more.
Reducing carbon dioxide emissions in freight transportation is considered a key objective in contemporary sustainable supply chain management. While several tools and standards have been developed to estimate transport-related emissions, most rely on static assumptions, generic emission factors and are limited to single-scenario evaluation. Therefore, their operational applicability remains restricted especially in dynamic and complex environments where fast responsiveness is essential. Moreover, these tools are often disconnected from real-world constraints and rarely incorporate expert’s input. To address this gap, this study introduces a hybrid decision-support CO2 assessment framework combining theoretical models with field-based inputs. The proposed approach combines structured interviews conducted with 300 supply chain consultants and is operationalized through a dynamic digital tool that enables users to simulate multiple scenarios simultaneously. The tool accounts for critical variables including transport mode, routing distance, vehicle configuration, and shipment characteristics, thereby enabling a contextualized and flexible analysis of carbon emissions. A validation case study was conducted to confirm the applicability of the tool to industrial settings. Computational results show significant variation in emissions across different routing strategies and modal configurations, highlighting the tool’s capacity to support environmentally informed decisions. This research offers both a replicable methodology and a practical contribution: a user-centered, multi-scenario tool that improves the accuracy, adaptability, and strategic value of CO2 emission calculations in freight transport planning. Full article
18 pages, 2610 KiB  
Article
Shear Strength of RC T-Beams Without Shear Reinforcement Based on Crack Sliding Model
by Penggang Tian, Yufei Han, Kai Wang, Jiajia Wang, Zhiheng Tian and Ergang Xiong
Buildings 2025, 15(16), 2814; https://doi.org/10.3390/buildings15162814 - 8 Aug 2025
Abstract
Considering the effect of the flange on the shear capacity of reinforced concrete (RC) beams without stirrups, a shear capacity calculation formula based on the crack sliding model is proposed for RC beams without stirrups in this paper. Test data of 444 rectangular [...] Read more.
Considering the effect of the flange on the shear capacity of reinforced concrete (RC) beams without stirrups, a shear capacity calculation formula based on the crack sliding model is proposed for RC beams without stirrups in this paper. Test data of 444 rectangular section beams and 172 T-beams were collected to verify this calculation theory, and the calculation results were compared with domestic and international design codes. The collected datasets were analyzed using five common machine learning models. The results show that the shear capacity calculation method proposed by the codes of each country is in good agreement with the test results. Compared to the calculation of the codes, the addressed calculation method in this study is more accurate and can effectively account for the contribution of the T-beam flange to the shear capacity. The machine learning models selected in this paper exhibit desirable accuracy on the test set, which demonstrates the applicability of the machine learning models in the calculation of shear capacity for reinforced concrete beams. Full article
(This article belongs to the Section Building Structures)
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