Search Results (153)

This study investigates how the hydrogen supply chain should be designed under alternative carbon tax scenarios to decarbonize heavy-duty freight transportation. A bi-objective, multi-period optimization model is developed to minimize the total daily system cost while constraining CO₂ emissions using the Augmented ε-constraint approach, thereby revealing the trade-off between economic and environmental objectives. The model was applied to Türkiye’s heavy-duty transportation sector and solved under zero, moderate, and aggressive carbon tax scenarios. The results show that the levelized cost of hydrogen (LCOH) ranges from 2.06 to 14.06 $/kg H₂. High carbon pricing increases the LCOH by 29.06% in hybrid designs, while raising the renewable energy share from 2.04% to 46.97% in centralized supply chains. Sensitivity analysis reveals that a ±20% variation in electrolyzer-based production costs does not alter the network topology but shifts the LCOH between 13.10 and 15.02 $/kg H₂ in emission-focused solutions. The findings indicate that in renewable-energy-based decentralized structures, higher carbon tax policies primarily increase the LCOH. Still, the overall technology mix and network topology remain largely unchanged compared to the no-tax case. However, in centralized supply chains, carbon pricing affects both the energy sources and selected technologies. By integrating Türkiye’s 2030–2053 policy milestones into a multi-period framework, this study distinguishes itself by providing a comprehensive, multi-period planning framework tailored to the economic and logistical realities of developing countries. Unlike existing models, our approach quantifies how evolving carbon tax trajectories decisively drive infrastructure investment by analyzing the direct impact of different tax levels on the operational and strategic decisions of heavy-duty transport. This research represents the first joint assessment of carbon tax policy instruments and the evolution of long-term hydrogen supply chains, offering a decision-making framework for policy-driven energy transitions in similar emerging economies. Full article

The appearance of a historical metal object and the presence of corrosion products on its surface are not always decisive for assessing the corrosion state of the object. A simple, fast, and instrumentally undemanding technique for measuring the corrosion rate of corroded lead is linear polarization resistance. Its value, determined in a non-aggressive electrolyte, tap water, is able to distinguish between a corrosion-active and corrosion-stable state. While the corrosion-active state is characterized by polarization resistance values in the order of tenths of Ω·m², the stable state is characterized by values exceeding 1 Ω·m². Lead acetates formed by reaction with volatile acetic acid, although present in very small quantities that are difficult to detect by XRD, are the cause of increased corrosion rate of lead in the presence of moisture. Acetates can be rapidly transformed into stable carbonates by exposing the object to moistened carbon dioxide. The polarization resistance measured in tap water showed considerable decrease in the corrosion rate of lead after stabilization with carbon dioxide. In contrast, thermal treatment at temperatures up to 70 °C is not as effective in terms of stabilization. Stabilization treatment of historical lead objects with carbon dioxide can be part of an ethoxene disinfection procedure. Full article

Background and Clinical Significance: Osteoblastomas are rare, benign but locally aggressive bone tumors with a predilection for the posterior elements of the spine. Their clinical, radiological and histopathological presentation often overlaps with that of osteoid osteomas, leading to diagnostic and therapeutic challenges—particularly in atypical locations such as the anterior thoracic spine. Case Presentation: We report two cases of young female patients (aged 35 and 30 years) presenting with persistent thoracic back pain unresponsive to NSAIDs. In the first case, imaging revealed a lesion at the right T7 pedicle initially attributed to osteoid osteoma; CT-guided thermoablation was declined due to proximity to neural structures. At this stage, we chose percutaneous transpedicular ablation by drilling through the centrum of the lesion (Nidus) surgically. After this transpedicular resection with initial symptom improvement, the patient developed recurrence with lesion progression into both anterior and posterior columns, requiring a second, open, surgical intervention. In the second case, a lesion at the left T11 pedicle and transverse process was identified directly as osteoblastoma due to size and radiological morphology; initial biopsy was non-diagnostic due to specimen fragmentation. In both cases, histopathology was inconclusive or misleading, while clinical and radiological features—including NSAID unresponsiveness, lesion size, and anatomical extent—favored osteoblastoma. Both patients underwent surgical resection via posterior costotransversectomy, partial hemivertebrectomy, expandable cage placement, and posterior instrumentation (T5–T8 and T10–T12, respectively). The postoperative courses were complicated by thoracic events—hemothorax in the first case and pulmonary embolism in the second—both of which were managed successfully. At follow-up, both patients were neurologically intact and pain-free. Conclusions: These cases emphasize the diagnostic overlap between osteoid osteoma and osteoblastoma and highlight the importance of clinical and radiographic correlation when histopathology is inconclusive. A posterior-only approach with costotransversectomy may be a valid strategy in selected cases of thoracic spinal tumors, although specific complications such as hemothorax must be considered. Full article

Objective: Cytoreductive surgery (CRS) combined with hyperthermic intraperitoneal chemotherapy (HIPEC) is an aggressive locoregional treatment for selected patients with peritoneal surface malignancies. Although its oncological role has been widely discussed, longitudinal data focusing on postoperative quality-of-life (QoL) trajectories remain limited. This study aimed to describe longitudinal QoL trajectories during the first two years after CRS/HIPEC and to provide exploratory descriptive comparisons according to selected clinical characteristics. Methods: This retrospective single-center cohort study included 144 consecutive adult patients who underwent CRS/HIPEC between January 2018 and July 2022. Patients were evaluated preoperatively and postoperatively at day 14 and at 1, 3, 6, 12, 18, and 24 months. QoL was assessed during routine follow-up primarily using the EORTC QLQ-C30 questionnaire; the EORTC QLQ-CR29 was also administered in institutional practice as a supplementary instrument in selected settings. Repeated QLQ-C30 measurements were analyzed descriptively using the Friedman test with post hoc Nemenyi comparisons. Results: Questionnaire completion rates were 100% at baseline, postoperative day 14, and month 1; 96.5% at months 3 and 6; 91.0% at month 12; 81.9% at month 18; and 75.7% at month 24. Longitudinal analyses demonstrated significant time effects across multiple QoL domains, including global health status, physical functioning, emotional functioning, role functioning, cognitive functioning, social functioning, pain, fatigue, and diarrhea. The most pronounced deterioration was observed in the early postoperative period, particularly at postoperative day 14. Thereafter, several domains improved gradually; however, recovery was domain-specific and did not consistently return to preoperative levels during follow-up. In exploratory descriptive analyses, patients with major postoperative complications showed more pronounced early impairment in global health status, physical functioning, and social functioning, together with greater pain and fatigue burden, particularly at postoperative day 14 and month 1. Exploratory subgroup comparisons also suggested heterogeneity in recovery patterns according to primary tumor origin. Later follow-up findings should be interpreted cautiously in view of attrition over time and the absence of adjusted longitudinal modeling. Conclusions: Quality of life declines substantially during the early postoperative period after CRS/HIPEC, followed by gradual but incomplete recovery over time. This recovery pattern is non-linear and varies across domains. Exploratory descriptive findings suggested that early postoperative QoL impairment may be greater in patients with major complications, but these subgroup patterns require confirmation in prospectively designed studies using adjusted longitudinal models. Longitudinal QoL assessment may provide clinically meaningful insight into postoperative recovery after CRS/HIPEC. Full article

This article offers a comprehensive theorization of stiob as a historically sedimented, culturally specific, yet increasingly globalized modality of ironic discourse whose logic of deadpan overidentification has migrated from late-Soviet conceptualist counterculture into twenty-first-century political communication. Revisiting the folkloric, carnivalesque, and double-voiced foundations of stiob, this study situates the phenomenon within the longue durée of Russian humor, holy foolishness (юрoдствo), and the grotesque tradition described by Dmitry Likhachev, Aleksandr Panchenko, Mikhail Bakhtin, and Sergei Averintsev. The argument proceeds to demonstrate how contemporary political actors—most prominently Donald Trump and Vladimir Putin—have appropriated stiob and its adjacent practices (holy foolishness, trolling, strategic sacrilege, and carnivalesque inversion) as powerful rhetorical instruments capable of destabilizing discursive norms, undermining institutional authority, and creating a semi-permanent state of “infernal laughter.” Drawing on examples from political speech, social media, public performance, and mediatized spectacle, the article contends that both Trump and Putin deploy a repertoire of ironic aggression, misdirection, double-voiced innuendo, and taboo-breaking parody that weaponizes cultural archetypes of the jester, trickster, and holy fool. This mode of communication, simultaneously theatrical and destructive, produces a new form of political carnivalesque in which hierarchical orders are inverted, outrage is instrumentalized, and the distinction between sincerity and mockery collapses. Ultimately, this article argues that stiob, trolling, and holy foolishness now constitute a transnational discursive formation reshaping public culture in the twenty-first century. Full article

Mountainous megacities face a distinctive form of pluvial waterlogging in which terrain-controlled flow convergence, accelerating imperviousness, and aging drainage interact to produce chronic, spatially clustered failures rather than stochastic events. Existing frameworks, such as hydrodynamic modeling, data-driven machine learning, and multi-criteria composite indexing, carry distinctive failure modes at the municipal scale. This study develops and externally validates a city-wide, grid-based assessment framework for Chongqing, China, through three integrated choices. First, resilience is reformulated as a stabilized adaptation-to-risk ratio and subjected to an explicit falsification test against independent waterlogging observations. Second, multi-source hydroclimatic, topographic–hydrologic, land-cover, and service-accessibility indicators are integrated on a 500 m fishnet (22,500 cells) through within-component CRITIC–Entropy weighting and TOPSIS, with robustness diagnosed by a 500-iteration Monte Carlo weight-perturbation analysis. Third, a spatially grouped LightGBM classifier with SHAP interpretation serves both as an independent validation layer and as a mechanistic lens on non-linear driver thresholds. The composite risk surface achieves ROC-AUC values of 0.834 and 0.873 against two independent waterlogging registries, is strongly spatially clustered (Moran’s I = 0.81, p < 0.001), and preserves its ranking under aggressive weight perturbation (Spearman ρ ≥ 0.95 in 95% of scenarios). A counterintuitive finding emerges from the falsification test as resilience yields ROC-AUC below 0.5 on both point sets, indicating that accessibility-based capacity proxies systematically capture urban centrality rather than drainage robustness, like a diagnosable measurement problem affecting the wider resilience-index literature. LightGBM concentrates 88.0% of waterlogging cells within the top 10% of scored grids, and SHAP-derived thresholds align with saturation-ponding, well-drained, and convergence–hotspot regimes of classical hydrology. Together, these results reframe waterlogging assessment in complex terrain from a cartographic exercise into a falsifiable, resource-aware prioritization framework, and clarify why capacity maps and risk maps should be published as complementary instruments of flood governance. Full article

Glioblastoma (GBM) is an aggressive tumor type known to recur after maximal safe surgical resection followed by concurrent radiation therapy (RT) and chemotherapy (temozolomide—TMZ), and adjuvant TMZ maintenance chemotherapy. It exhibits high intratumor heterogeneity within a single specimen, and thus clinical management remains a challenge due to its rapid progression and high recurrence rate. Machine learning algorithms are currently being implemented in biomarker discovery to develop accurate predictive models that can guide clinical decision making. Emerging evidence identifies metabolomics as a critical player in understanding tumor metabolism and progression. Machine learning computation models have been instrumental in GBM classification and biomarker discovery, as well as the evaluation of tumor staging. Metabolomic profiling of biogenic amines in the setting of surgery, chemoradiation, and understanding relapse also suggests a coordination between metabolic pathways and tumor stage. Many challenges in machine learning and metabolomics-based approaches for disease classification remain due to the dimensionality of datasets, as well as identifying more streamlined panels of metabolite biomarkers. The purpose of this review is to showcase the recent developments in the applications of machine learning in metabolomics as a promising approach to enhancing the biomarker discovery process for future classification and interpretation of patient response to therapies for GBM management in the clinical setting. It also presents the major challenges of implementing machine learning approaches in GBM management and its future directions. Full article

Corporate tax avoidance has become a major governance and fiscal sustainability concern, particularly in developing economies where corporate tax revenues constitute a critical source of public financing. While prior research suggests that board gender diversity (BGD) enhances ethical oversight and monitoring, its effectiveness in constraining aggressive tax planning may depend on firms’ informational and technological environments. This study examines whether artificial intelligence (AI) capability strengthens the governance role of BGD in reducing corporate tax avoidance. Using a balanced panel of 1586 non-financial firms from developing economies over the period 2009–2023, the analysis employs firm FE models and dynamic two-step System GMM estimations to address unobserved heterogeneity, endogeneity, and the persistence of corporate tax behavior. The results indicate that BGD is positively associated with effective tax rates, implying lower levels of corporate tax avoidance. Furthermore, AI capability—measured using a lagged specification—significantly strengthens this relationship, suggesting that firms with higher AI adoption exhibit a stronger governance effect of gender-diverse boards on tax compliance. Additional robustness tests—including alternative tax avoidance measures, alternative BGD specifications, heterogeneity analysis, and selection-bias corrections using Heckman, propensity score matching (PSM), and instrumental variable (2SLS) approaches—confirm the stability of the findings. Overall, the results highlight the complementary role of technological capability and board diversity in strengthening corporate governance (CG) and fiscal discipline in developing economies. Full article

Emotions play an important role in shaping aggressive behavior, and understanding their underlying psychological mechanisms is particularly relevant among college students. However, existing research has predominantly focused on reactive aggression, while comparatively less attention has been paid to proactive aggression, which is more instrumental in nature and associated with more severe social consequences. In addition, empirical evidence regarding the valence-specific effects of awe remains limited. The present study aimed to examine the differential effects of positive and negative awe on proactive aggression and to explore the role of empathy as a potential mediating mechanism. A total of 110 college students were randomly assigned to one of three conditions: positive awe, negative awe, or neutral emotion. Awe was induced through video clips depicting natural landscapes. Proactive aggression was assessed using a modified bug-killing paradigm, including two behavioral indicators: force intensity and proportion of bugs killed. Empathy was measured using the Interpersonal Reactivity Index. The results revealed a clear differentiation based on the valence of awe. Participants in the positive awe condition exhibited significantly lower levels of proactive aggression than those in the neutral condition across both force intensity (M = 2.86, SD = 0.81 vs. M = 4.17, SD = 0.81) and proportion of bugs killed (M = 0.68, SD = 0.25 vs. M = 0.93, SD = 0.11). In contrast, the inhibitory effects of negative awe were weaker and less consistent. Compared with the neutral condition, negative awe was associated with a lower proportion of bugs killed, although this effect only reached marginal significance (p = 0.06, η² = 0.04), and no significant difference was observed for force intensity. Mediation analyses indicated that empathy partially mediated the association between positive awe and proactive aggression. Empathy accounted for 31% of the total effect in the force intensity pathway (B = −0.02, t = −4.25, p < 0.001, 95% CI [−0.04, −0.01]) and 18% in the proportion-of-bugs-killed pathway (B = −0.003, t = −2.37, p = 0.02, 95% CI [−0.006, −0.001]). Notably, no significant mediating effect of empathy was observed in the negative awe condition, suggesting that the psychological processes linking awe to proactive aggression may differ as a function of emotional valence. Taken together, the present findings suggest that positive awe is reliably associated with lower levels of proactive aggression among college students, and that this association is partially explained by increased empathy. By contrast, the effects of negative awe appear to be fragile and context-dependent, as reflected in their failure to reach statistical significance, indicator-specific manifestation, and the absence of a consistent mediating pathway. These results highlight the importance of distinguishing between positive and negative awe when examining the behavioral consequences of self-transcendent emotions and underscore the need for further research to clarify the conditions under which negative awe may influence aggressive behavior. Full article

Oral mucosal melanoma (OMM) is a rare and aggressive malignancy that differs markedly from cutaneous melanoma in terms of epidemiology, genetic characteristics, clinical presentation, and treatment response. Despite advances in understanding OMM pathogenesis and the development of novel therapeutic strategies, early diagnosis remains challenging due to its low prevalence, anatomically concealed locations, and frequent multifocality. This review emphasizes the importance of the early detection of OMM using non-invasive imaging methods—specifically dermoscopy and reflectance confocal microscopy (RCM)—and explores their potential role in guiding treatment decisions, preventing disease progression, and improving prognosis. A narrative review of the PubMed database was conducted using the terms “oral melanoma,” “oral melanoma dermoscopy,” and “oral melanoma reflectance confocal microscopy.” Seventy-two relevant review articles were included. In addition, two illustrative clinical cases from our practice are presented to demonstrate the diagnostic value of non-invasive imaging techniques. Although biopsy and histopathology remain the diagnostic gold standards, they are invasive, time-consuming, and may be poorly tolerated, particularly in patients with multifocal lesions. Dermoscopy and RCM provide real-time, high-resolution imaging that enables the detection of early tissue abnormalities not visible to the naked eye. These techniques show good correlation with clinical and histopathological findings, thereby enhancing diagnostic accuracy and facilitating follow-up without the need for repeated biopsies. In our cases, they were instrumental in identifying recurrence and guiding clinical management. However, several limitations should be considered, including restricted accessibility, anatomical constraints, and the requirement for specialized training and expertise. Non-invasive imaging techniques may support clinicians in the early recognition and evaluation of suspicious oral lesions; however, histopathologic examination remains essential for definitive diagnosis. Wider implementation and further technological refinement are needed to optimize their integration into clinical practice. Full article

Background: In multicultural healthcare systems such as the Italian one, migrant children may experience dental care as particularly stressful because linguistic and cultural barriers can limit communication, emotional expression, and understanding of the clinical setting. Aim: Understanding the emotional experience of migrant children during dental visits is essential for improving clinical management in pediatric dentistry and orthodontics within multicultural contexts. Because linguistic barriers often limit verbal communication, this study aimed to explore children’s mental representations, emotional states, and perceptions of the dental environment through drawing and to evaluate the clinical implications for communication and therapeutic collaboration. Methods: This qualitative study was conducted in Italy between 2016 and 2025 and analyzed 50 drawings produced by 50 foreign-born migrant children aged 6–13 years, recruited through an educational cooperative in Piacenza. Most participants originated from developing countries and had limited proficiency in Italian, frequently showing a marked “experience gap” in drawing ability that interfered with normative developmental stages described by Lowenfeld. The analysis focused on spatial organization, line quality, color use, posture, interpersonal distance, and representation of the clinical environment, integrating graphic competence assessment with emotional interpretation. Results: Younger children commonly depicted rigid lines, essential settings, and oversized dental unit lamps, whereas older children increasingly represented threatening or disproportionate instruments, aggressive dentists, and omission of the patient figure. Around age 10, drawings became more detailed and colorful, although symbols of closure, such as locked doors, persisted. In adolescents, representations polarized between rich, coherent scenes and extremely essential drawings dominated by fear, rigidity, minimal environments, and symbols of constraint. The findings suggest that drawing may represent a valuable non-verbal clinical and communicative resource for exploring migrant children’s emotional experience of dental care and for identifying signs of anxiety and vulnerability that may not emerge through verbal interaction alone. Conclusions: These findings support the value of a culturally sensitive dental approach integrating drawing, visual aids, multilingual educational materials, and play-based strategies to reduce communication barriers and improve cooperation in migrant children receiving pediatric dental and orthodontic care. Full article

Car engine quality control is fundamentally hindered by extremely high-dimensional, noisy, and imbalanced multi-sensor data. To overcome these challenges, this paper proposes an edge-deployable diagnostic and predictive framework. First, a Sparse Autoencoder (SAE) maps over 12,000 distributed manufacturing parameters into a robust latent space to filter instrumentation noise. Second, for defect classification, a Class-Specific Weighted Ensemble (CSWE) tackles extreme class imbalance by aggressively penalizing majority-class bias, improving defect interception recall by 7.72%. Third, for transient performance tracking, an Adaptive Regime-Switching Regression (ARSR) replaces manual phase selection with unsupervised regime routing to dynamically weight local experts, reducing relative prediction error by 12%. Rigorously validated across three diverse public datasets (NASA C-MAPSS, AI4I, SECOM) and a physical H4 engine assembly line, the framework achieves an ultra-low inference latency of $80\pm 3$ ms, practically reducing the engine rework rate by 7.2%. Full article

Residential heat pumps have advanced over the past decade to allow for operation at colder temperatures. However, the challenges of frost accumulation and defrosting the outdoor coil remain. The goal of this study was to evaluate the impact of the control algorithms that determine when a heat pump needs to defrost and when the base pan heater runs on the overall heating efficiency of the heat pump. In this study, which occurred during the 2023–2024 heating season, we measured the performance of a ductless air-source heat pump installed in Fairbanks, Alaska, USA. The heat pump was instrumented to measure the electrical input and the thermal output, as well as selected internal variables and indoor and outdoor environmental conditions. The heat pump was first operated with factory default control algorithms associated with the initiation of defrost and control of the base pan heater. These factory default algorithms focused on aggressively defrosting the outdoor coil and keeping the base pan ice-free. In the middle of the winter, these algorithms were changed to focus on reducing defrost cycles and increasing efficiency, while the heat pump continued to be operated and monitored. The results showed that significant increases in efficiency are possible by improving the defrost and base pan heater control algorithms. Full article

Background and Objectives: Public health emergencies, such as the COVID-19 pandemic, significantly impact individuals and families, particularly in educational settings. School closures and changes in daily routines reduced students’ opportunities for learning and social interaction, affecting their mental health. Caregivers also faced increased responsibilities and stressors. This study aimed to evaluate a predictive model of mental health outcomes—specifically posttraumatic stress symptoms (PTSSs) and posttraumatic growth (PTG)—in Chilean schoolchildren and their caregivers. Materials and Methods: A total of 489 students (48% female sex; aged 10–17) from educational communities in various Chilean cities participated in the study, along with their caregivers (aged 21–69; 86.5% female), including mothers, fathers, and guardians. Mental health variables were assessed through self-report instruments. Hierarchical linear regression and path analyses were used to evaluate predictive models for PTSSs and PTG in students. Results: The model predicting PTSSs in students was significant. Key predictors included female sex, aggressive behavior, coping strategies such as keeping problems to oneself, cognitive avoidance, and intrusive rumination, and caregiver PTSSs. The model for PTG was also significant, with predictors including active problem-solving, communication, a positive attitude, and deliberate rumination. These results indicate distinct psychological processes underlying negative and positive outcomes following trauma. Conclusions: The findings underscore the complexity of mental health outcomes among school-aged children and the influence of caregiver well-being. The study highlights the importance of supporting both students and caregivers through targeted interventions. Multi-level strategies addressing emotional regulation, communication, and coping mechanisms may foster resilience and psychological growth in educational communities facing the aftermath of public health emergencies. Full article

Aggressive corporate tax avoidance represents a significant fiscal and governance challenge in developing economies, where public revenues are critical for sustainable development and enforcement capacity is often uneven. This study examines whether environmental, social, and governance (ESG) performance constrains corporate tax avoidance and whether this relationship is conditioned by national institutional quality. Using a multi-country panel of 2464 publicly listed non-financial firms from 14 developing economies over the period 2015–2023, the analysis employs fixed-effects estimation, dynamic System GMM, and instrumental-variable (2SLS) techniques to address unobserved heterogeneity and endogeneity concerns. The results indicate that stronger ESG performance is associated with significantly lower levels of tax avoidance; however, this effect is highly contingent on institutional quality. ESG exerts a substantive disciplining role primarily in governance-strong environments characterized by effective regulation and credible enforcement. Heterogeneity analyses further reveal that the ESG–tax avoidance relationship is driven mainly by the governance and environmental pillars, is more pronounced among large firms, varies across regions, and strengthens over time as ESG frameworks mature. In contrast, the social ESG dimension and smaller firms exhibit weaker or insignificant effects, consistent with symbolic compliance in low-enforcement settings. By integrating stakeholder, legitimacy, agency, and institutional theories, this study advances a context-sensitive understanding of ESG effectiveness and helps reconcile mixed findings in the existing literature. The findings offer policy-relevant insights for regulators and tax authorities seeking to strengthen fiscal discipline and development financing in developing economies. Full article