Search Results (323)

With the increasing variety of electric vehicles (EVs) joining virtual power plants (VPPs), VPP operators increasingly require precise and tailored models for schedulable EV energy. Based on a publicly available anonymous EV charging power dataset, EV users are clustered through a weighted K-means++ algorithm. Secondly, based on the results of clustering, we analyzed the daily traveling patterns of various types of EVs, including commuting EVs, electric light-duty trucks (ELDTs) and electric tractors (ETs), and then customized the all-day schedulable energy domain model (SEDM) for each category. Subsequently, an optimal bidding strategy for a VPP consisting of diversified-member EVs, air conditionings (ACs), energy storage (ES) and distributed energy resources (DERs) is constructed. By modifying the levels of participation in supplementation and absorption of DERs among VPP members, while integrating considerations such as user comfort, EV defying rate, and seasonal variability, diverse VPP operational frameworks are established. Finally, using the Gurobi solver, the optimal bidding strategies and profit results under different scenarios are derived. The results indicate that (1) increasing the VPP members’ participation in the supplementation and absorption of DERs will bring higher benefits to both the VPP and its members; (2) with the increased sensitivity of users to room temperature and range anxiety, the demand response capacity of AC clusters decreases, reducing EV clusters’ market participation and VPP profits; and (3) among various types of EVs, ELDTs and ETs have a larger battery energy adjustment range, which can fully supplement the output shortfalls of DERs. Therefore, these EVs prove to be a good supplement for the improvement of VPP’s schedule capability and profitability. Full article

The low-carbon transition depends not only on technologies and regulation, but also on how employees interpret and enact organizational environmental commitments. This study examines whether carbon anxiety—employees’ perception of organization-focused uncertainty and insufficient preparedness regarding carbon accounting, emissions reduction, reporting, and operational adaptation—and perceived regulatory pressure are associated with employee green behavior (EGB) through psychological contract fulfillment for the environment (PCFE), and whether pro-environmental consciousness strengthens the PCFE–EGB association. Using a cross-sectional computer-assisted web interview survey of 857 employees in Poland’s energy sector, the proposed second-stage moderated mediation model was tested with structural equation modeling and bootstrap analysis. Carbon anxiety and regulatory pressure were positively associated with psychological contract fulfillment for the environment, which was positively associated with employee green behavior. Pro-environmental consciousness strengthened the psychological contract fulfillment for the environment–behavior relationship, and both conditional indirect associations increased at higher pro-environmental consciousness levels. The model explained 33.2% of the variance in psychological contract fulfillment for the environment and 37.1% in employee green behavior; the main pattern remained stable across robustness and subsector analyses. The observed associations support psychological contract fulfillment for the environment as a theoretically specified relational mechanism linking transition pressures with the employee-level implementation of decarbonization. Given the cross-sectional design, the results indicate associations rather than causal effects. Organizations should translate transition pressures into credible environmental commitments, workforce capabilities, transparent communication, and meaningful employee participation. Full article

With the rapid growth of electric vehicles (EVs) and renewable energy generation, Vehicle-to-Grid (V2G) technology has emerged as a promising approach for transforming EVs from passive charging loads into flexible distributed energy storage resources. By enabling bidirectional power exchange between EV batteries and the power grid, V2G can support renewable energy accommodation, peak shaving, demand response, ancillary services, and local grid balancing. This review provides a systematic synthesis of recent advances in V2G systems for renewable energy integration, with particular emphasis on coordinated scheduling, economic mechanisms, battery degradation, and user engagement. First, the technical foundations of V2G are introduced, including Vehicle-to-Everything operating modes, bidirectional charging architecture, aggregation mechanisms, grid-support services, and renewable accommodation pathways. Second, major scheduling strategies are reviewed, including price-based, load-based, renewable-forecast-driven, centralized, distributed, and hybrid approaches. Third, the economic feasibility of V2G is examined from the perspectives of revenue streams, pricing mechanisms, business models, battery aging costs, and compensation schemes. In addition, user participation barriers, such as range anxiety, battery lifetime concerns, loss of control, uncertain financial returns, and data privacy, are discussed. Key challenges related to communication standards, interoperability, cybersecurity, market access, policy design, and pilot-scale validation are also summarized. Finally, future development directions are identified, including AI-based scheduling, aggregator platforms, fleet-scale V2G, degradation-aware optimization, carbon-aware electricity markets, and user-centered participation mechanisms. This review highlights that large-scale V2G deployment requires the integrated coordination of technical scheduling, economic incentives, battery health protection, and user acceptance in renewable-rich power systems. Full article

Introduction: The widespread use of digital devices has significantly increased screen time among children and adolescents, raising concerns about its effects on dietary behaviors and health outcomes. This narrative review aimed to examine the relationship between screen exposure, unhealthy eating behaviors, and associated physical and mental health risks in pediatric populations. Methods: A narrative review of the literature was conducted using PubMed, Scopus, and Web of Science databases, with the final search updated on 30 April 2026. Studies involving individuals aged 0–18 years were included if they investigated screen time, dietary behaviors, obesity, cardiometabolic risk, sleep, or mental health outcomes. Observational studies, interventional studies, systematic reviews, and meta-analyses were considered. Findings were synthesized qualitatively according to pre-specified thematic domains, with greater interpretive weight given to systematic reviews, meta-analyses, randomized trials, longitudinal cohorts, and large population-based studies. Results: Excessive screen time was consistently associated with unhealthy eating behaviors, including increased snacking, mindless eating, breakfast skipping, and higher consumption of ultra-processed and energy-dense foods. Digital food marketing and exposure to food advertising may influence children’s food preferences and intake. High screen exposure was also associated with sedentary behavior, sleep disturbances, circadian dysregulation, and altered appetite-related hormones such as leptin and ghrelin. These pathways may contribute to, or be consistent with, obesity, insulin resistance, dyslipidemia, hypertension, and metabolic syndrome, although most evidence remains observational. Moreover, excessive screen use was associated with anxiety, depression, emotional eating, binge-eating behaviors, and body image dissatisfaction, particularly among adolescents. Conclusions: Screen time may represent a modifiable behavioral and environmental correlate of dietary habits, metabolic health, and psychological wellbeing in children and adolescents. Prevention strategies should focus not only on reducing screen duration but also on improving the quality and context of media use through family-based interventions, school programs, digital literacy, promotion of physical activity, and regulation of digital food marketing. Further longitudinal and interventional studies are needed to clarify causal relationships and develop effective prevention strategies. Full article

Background and Clinical Significance: Acute compartment syndrome is a rare but limb-threatening emergency in pediatric patients. While most cases follow high-energy trauma or displaced fractures, acute compartment syndrome precipitated by initially underestimated forearm injuries is uncommon and may create a significant diagnostic challenge, particularly in young children who exhibit atypical clinical presentations, such as escalating anxiety and analgesic requirements, rather than classic ischemic signs. Case Presentation: We report the case of a 4-year-old girl who developed severe forearm and hand compartment syndrome following a delayed presentation after a fall from a height of 2–2.5 m onto the left upper extremity. Initial evaluation revealed progressive tense swelling, severe pain with passive stretch, diminished distal perfusion, and radiographic evidence of distal radius-ulna buckle fractures associated with a proximal ulna fracture. Emergent surgical decompression via extensive volar and dorsal fasciotomies revealed markedly elevated compartment pressures. Intraoperatively, deep volar muscle ischemia and necrosis were identified, requiring carpal tunnel release, serial debridements, and complex staged wound management. Multidisciplinary care and ongoing rehabilitation were essential for limb salvage and functional recovery. Conclusions: This case underscores the profound unpredictability of pediatric compartment syndrome and demonstrates that even classically stable, benign fractures can initiate a devastating ischemic cascade. A high index of suspicion, regardless of the injury mechanism, along with early recognition and prompt surgical intervention, is absolutely critical for preventing irreversible myoneural damage and optimizing management outcomes in pediatric patients. Full article

The comorbidity of obesity and anxiety represents a complex condition with substantial health implications, exacerbating metabolic burden while compromising psychological well-being. Neurons in the lateral hypothalamus (LH) synthesize orexin-A and orexin-B, neuropeptides that orchestrate feeding behavior and energy expenditure, thereby directly regulating energy homeostasis and associated behaviors. Functioning as integrative modulators, orexins coordinate autonomic, neuroendocrine, arousal, reward, and stress circuits. Dysregulation of orexin signaling is strongly implicated in metabolic disorders, particularly obesity, as well as in psychiatric conditions including anxiety and depression, highlighting its central role in their comorbidity. This review provides a comprehensive overview of recent advances in understanding orexin-A neural circuits in feeding regulation, emphasizing mechanistic insights into the interplay between orexin signaling, energy balance, and anxiety–obesity comorbidity. Furthermore, it critically evaluates sources of heterogeneous therapeutic outcomes and outlines future strategies for precise modulation of the orexin system to restore metabolic and emotional homeostasis. Full article

Vehicle replacement programs have become an important policy instrument for promoting sustainable mobility and accelerating the transition from gasoline vehicles (GVs) to new-energy vehicles (NEVs). In such markets, government subsidies, manufacturer competition, and trade-in strategies jointly shape not only manufacturers’ decisions but also environmental and social outcomes. Motivated by this issue, this study develops a game-theoretic model to examine competitive manufacturers’ optimal pricing and trade-in strategies as well as the government’s socially optimal subsidy level. Furthermore, using numerical examples, we reveal the effect of the action sequences of NEV and GV manufacturers on manufacturers’ pricing and trade-in decisions as well as the government’s socially optimal strategy. The results indicate that (1) manufacturers’ pricing and trade-in strategies are not only affected by government subsidies but also closely related to the gap between consumers’ mileage anxiety and degree of alternative preference. (2) The environmental benefits of recycling old products affect government subsidies on the consumption and production side at different levels. (3) NEV and GV manufacturers diverge in terms of how they respond to the sequence of their business strategies. This study contributes to the sustainability literature by showing how subsidy design and manufacturers’ decision sequence jointly affect sustainable consumption, recycling-related environmental benefits, and the transition toward cleaner mobility. The findings provide implications for sustainable vehicle replacement and support Sustainable Development Goal (SDG) 11, SDG 12, and SDG 13 by promoting cleaner mobility, responsible consumption, and climate action. Full article

Accurate range prediction is crucial for reducing range anxiety and optimizing the energy management of electric two-wheelers (E2Ws). In this study, we propose a stacked ensemble model to predict the remaining driving range (RDR) of E2Ws with enhanced accuracy. Grid Search Cross-Validation (Grid Search CV) was employed for model selection and hyperparameter tuning to ensure the most effective regression models were chosen as base learners. The final ensemble consists of AdaBoost, CatBoost, Gradient Boosting, and Lasso Regression as base learners, while Ridge Regression serves as the meta-learner to refine predictions. To develop and validate the model, real-world driving data was collected from three different E2W models. The dataset underwent preprocessing and was evaluated using 10-fold cross-validation to ensure robustness. Experimental results demonstrate that the proposed stacked model achieves a Mean Absolute Error (MAE) of 0.13, corresponding to an average prediction error of 130 m per trip. Full article

Background/Objectives: Fatigue is a frequent, disabling and difficult-to-treat symptom of multiple sclerosis (MS). Low-grade inflammation and energetic dysfunction have been proposed as mechanisms underlying the pathogenesis of this symptom. Owing to its anti-inflammatory and metabolic properties, there is a rationale for ketogenic diet (KD) application in this setting. The aim of this study was to evaluate the effects of KD on fatigue and other frequently associated symptoms in a carefully selected group of patients with MS. Methods: We conducted a single-arm open-label interventional study on a strictly selected group of 16 non-obese patients with multiple sclerosis who were prescribed KD for three months. Fatigue, sleep quality, daytime somnolence, mood, and quality of life were assessed at baseline (T0), 1 month (T1), and 3 months (T3) using validated scales. Results: With respect to baseline, at 3 months we observed a significant reduction in Fatigue Severity Scale (5.18 ± 1.02 vs. 4.16 ± 0.98; p = 0.042), Epworth Sleepiness Scale (8.46 ± 3.05 vs. 5.64 ± 2.46; p < 0.001), Pittsburgh Sleep Quality Index (5.64 ± 3.53 vs. 7.62 ± 2.59; p = 0.009), Depression Anxiety Stress Scales-21 depression (3.18 ± 2.93 vs. 6.15 ± 3.81; p = 0.036) and anxiety (5.15 ± 4.10 vs. 1.55 ± 1.92; p = 0.019) sub-scales, and an improvement in energy sub-scale of multiple sclerosis Quality of Life-54 (52.49 ± 12.83 vs. 37.43 ± 14.26; p = 0.042). Conclusions: These findings suggest that KD might be useful for the treatment of fatigue, and they raise interest in the use of KD in the treatment of other symptoms frequently encountered in multiple sclerosis. Larger randomized controlled studies are needed to confirm these preliminary results. Full article

The accumulation of microplastics in aquatic ecosystems poses a significant threat to fish physiology and welfare. This study investigated the impact of exposure to virgin polystyrene microplastics (15 µm) on energy balance and welfare in goldfish (Carassius auratus). Fish were exposed for 14 days, and the effects were assessed through an integrated analysis of behavioral, metabolic, neuroendocrine, and physiological parameters. Microplastic exposure significantly reduces feed intake and feed anticipatory activity, indicating a potent anorexigenic effect. This effect was driven by neuroendocrine disruption, characterized by the downregulation of orexigenic neuropeptides (npy, agrp, hcrt) and the upregulation of anorexigenic signaling (pomca, cartpt, lepa). Simultaneously, exposed fish exhibited increased oxygen consumption, suggesting elevated metabolic demands. These factors converged to impaired growth and reduced hepatosomatic index, suggesting altered energy allocation. Furthermore, microplastic exposure induced anxiety-like responses and increased plasma cortisol levels, confirming the activation of the physiological stress response. Overall, these findings demonstrate that microplastics disrupt energy homeostasis and trigger behavioral shifts that ultimately compromise fish welfare and the biological resilience of aquatic species. Full article

Background: The use of food supplements (FS) is rapidly increasing, particularly in Italy, which leads the European market. This trend is driven by various factors, including the pursuit of physical well-being, the influence of advertising, and concerns about disease prevention. This exploratory pilot descriptive study aimed to characterize FS use among patients attending general practitioner (GP) offices and examine potential patterns with psychophysical well-being. Methods: Two questionnaires were administered to participants: one on FS use and another on physical and mental health (SF-12 questionnaire). General information and anthropometric characteristics were also collected. Results: 230 questionnaires on FS use and 192 on psychophysical well-being were analyzed. The majority of participants (73.5%) reported using FS, primarily for general well-being (21.0%), immune system support (12.2%), and increased energy (11.4%). The most commonly consumed FS were vitamins (19.4%), minerals (16.9%), and probiotics (15.7%). Only 57.4% of patients reported informing their doctor about FS use, while 66.3% engaged in self-prescription. The SF-12 questionnaire revealed lower mental health scores (mood, energy, anxiety, and depression) in the studied population, while physical health remained unaffected. Importantly, no significant associations were observed between FS use and either physical or mental health scores, suggesting these patterns are independent of supplement consumption. Conclusions: FS use is prevalent among patients attending GP offices. The observed decrease in mental health scores may indicate psychological distress though this pattern was not associated with FS consumption. Given the exploratory nature of this study, findings should be interpreted with caution. This study highlights the need for improved health education and professional training to promote safer and more informed FS use. Further research is required to expand upon these initial findings. Full article

Dynamic wireless power transfer can reduce electric vehicles’ charging downtime and range anxiety, but its benefits depend on route characteristics and system design. This work develops an integrated numerical framework combining (i) route-specific drive-cycle analysis, (ii) identification of candidate charging segments based on speed, stops and slope constraints, (iii) a physics-informed inductive wireless power transfer model and (iv) a Matlab/Simulink vehicle energy model to quantify energy demand, transferred energy and state-of-charge evolution. Two vehicle types (a passenger light-duty vehicle and a light commercial van) and multiple Lisbon Metropolitan Area routes are analyzed, including commuting, ride-hailing and urban logistics operations. Results show that low-speed, stop-rich urban corridors achieve the highest transfer rates (typically 0.4 kWh/km and over 2 kWh for more than 15 stops in the analyzed cases), whereas expressway deployments are much less effective (down to 0.1 kWh/km and 0.5 kWh below 5 stops) unless congestion lowers average speeds. The proposed workflow provides a replicable basis to identify candidate segments and to size wireless power transfer and corridor length for city-scale deployment scenarios. Full article

Eating behavior requires a balance between metabolic and hedonic components. Anxiety and dietary type may influence the quantity, patterns, and other aspects of food intake. Modern diets, especially in Western societies, often contain high levels of calories from fat and simple sugars (e.g., cafeteria-style diets). This type of diet may promote overweight and/or obesity in some, although many consumers remain at a normal weight. The mechanisms underlying susceptibility or resistance to weight gain remain unclear. Here, Sprague-Dawley male rats were fed a cafeteria diet for 10 weeks and then classified into quartiles based on body mass. We evaluated locomotor activity and anxiety-like behaviors and analyzed hypothalamic proteomics in overweight (Q4) rats compared with underweight (Q1) rats. Our results showed that locomotor activity and anxiety-like behaviors did not differ across quartiles (p > 0.05). Nevertheless, the expression of several hypothalamic proteins differed between Q4 and Q1 rats. Functional enrichment analysis of these differentially expressed proteins (p ≤ 0.05) revealed changes in cytoskeleton dynamics, synaptic communication, energy production and utilization, biosynthesis of cellular components (including nucleotides and carbohydrates), and regulation of metabolism between Q1 and Q4 rats. Neuro-humoral hypothalamic output regulates metabolism and food intake. Therefore, these functional changes in the hypothalamus may be associated with rats’ susceptibility/resistance to weight gain. Full article

Diet form is increasingly recognized as a welfare-relevant factor in intensive aquaculture, yet the effects of feed cooking on fish behavioral and physiological welfare remain poorly characterized. Juvenile southern catfish (Silurus meridionalis; 6.18 ± 0.52 g) were reared for 6 weeks in an indoor recirculating aquaculture system and fed either raw grass carp (Ctenopharyngodon idella) muscle (fish fed raw muscle, FR) or cooked grass carp muscle (fish fed cooked muscle, FC; 15 min ramp to ~100 °C followed by 2–3 min at ~100 °C). Locomotor activity and anxiety-like behavior were assessed using the open-field test and an annular light–dark preference assay, respectively. Flow-through respirometry further revealed a significantly lower standard metabolic rate (SMR) in FC fish than in FR fish, decreasing from 10.30 to 6.83, which represents a 33.7% reduction. Endocrine and biochemical analyses showed that cooking significantly decreased serum total triiodothyronine (T3) by 23.8%, whereas routine serum biochemical indices remained unchanged. In brain tissue, dopamine (DA) was significantly reduced by 7.2% in the FC group, and RT-qPCR analysis of dopamine-related genes further showed a significant downregulation of the rate-limiting synthesis gene th. These results indicate that cooking primarily downshifts the activity-energy axis in southern catfish and is accompanied by coordinated thyroid and dopaminergic changes. To our knowledge, this is the first integrated study to evaluate the behavioral, metabolic, and neuroendocrine effects of cooked feed in S. meridionalis, providing a short-term phenotypic baseline for assessing welfare-relevant feeding scenarios in aquaculture. Full article

Chronic social isolation (CSIS) is a form of psychosocial stressor strongly associated with the development of depression. Preclinical studies demonstrated that CSIS induces behavioral phenotypes resembling human depression, including anhedonia, behavioral despair and anxiety. This review summarizes proteomic-driven discoveries characterizing hippocampal non-synaptic mitochondria (NSM) and synaptosomal fractions containing synaptic mitochondria from adult male rats exposed to six weeks of CSIS, an animal model of depression, compared to controls. The compartment-specific proteomic alterations reveal mechanisms underlying mitochondrial dysregulation, providing molecular insights into the depression-like phenotype. Hippocampal NSM exhibit changes in energy metabolism-related proteins, including components of the tricarboxylic acid cycle and oxidative phosphorylation, as well as mitochondrial transport proteins and alterations in chaperones, structural and translational proteins, and monoamine oxidase, further elucidating how these proteomic changes contribute to mitochondrial dysregulation. In contrast, synaptosomal proteomics reveal predominantly increased protein abundance associated with energy metabolism, signaling, cytoskeletal organization, protein quality control, and vesicle trafficking, suggesting compensatory adaptations. Together, these findings highlight compartment-specific mitochondrial proteomic changes that may underlie depression-like behaviors and represent potential targets for therapeutic intervention. Full article