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The current study explores how corporate governance affects firm performance. It also examines the link between corporate governance and firm performance within capital structure, focusing on how financing decisions may moderate this relationship.—This analysis covers 215 non-financially registered firms listed on the Pakistan Stock Exchange from 2010 to 2022. To assess the quality of governance in these sample firms, a governance index incorporating 29 provisions is utilized. In addition, the book value of the debt-to-equity ratio determines the capital structure, whereas ROA and ROE serve as indicators of business performance. The methodology relies on panel data techniques, specifically the Fixed Effects Model and Random Effects Model, as determined by the Hausman test. Furthermore, multiple additional tests are conducted to verify the robustness of the analysis. Regression analysis shows that corporate governance significantly increases profitability (i.e., ROA and ROE), while capital structure significantly decreases it. Furthermore, when examining the capital structure’s moderating effect, the results indicate that the interaction variable significantly enhances firm performance. Still, it is more significant in terms of ROA than ROE, suggesting that market participants consider leverage not a good disciplinary mechanism, as high leverage introduces financial risk and obligations (such as interest payments) that can reduce firms’ ability to translate good governance practices into performance. Interactive variables have a weaker effect on profitability, as measured by ROE. Furthermore, these findings are more prevalent in larger, higher-level, and better-governed firms. The study’s findings could help lenders assess a company’s governance structure before making financial decisions. Similarly, investors should examine the quality of corporate governance and the company’s capital structure decisions. Managers should be extremely cautious when deciding how much long-term debt to include in their capital structure. The study indicates that capital structure plays an additional role in how corporate governance affects a company’s performance. This role is not often explored in research, especially in emerging markets. Full article

Background/Objectives: Sleep-disordered breathing (SDB), including obstructive sleep apnea, is common in children and is associated with mouth breathing, snoring, and neurobehavioral disturbances. In pediatric orthodontic patients, oral habits and craniofacial imbalances may contribute to airway dysfunction, making orthodontic evaluation a potential setting for early identification of SDB. This study aimed to estimate the prevalence of SDB and to evaluate its associations with parent-reported behavioral symptom profiles in a cohort of pediatric orthodontic patients. Methods: A multicenter cross-sectional study was conducted in 186 children aged 7–13 years attending orthodontic clinics in Oradea and Târgu Mureș, Romania. Parents completed a structured questionnaire on oral habits, the 22-item Pediatric Sleep Questionnaire (PSQ), with SDB defined as 8 or more positive responses, and a parent-reported behavioral screening form assessing ADHD symptom subtypes, oppositional-defiant disorder (ODD), conduct disorder, and anxiety/depression. These behavioral outcomes were based on screening measures and were not intended as clinical psychiatric diagnoses. Associations were analyzed using chi-square or Fisher’s exact tests, and multivariable logistic regression analyses were performed adjusting for age, sex, and weight status. Results: Mouth breathing was reported in 61.8% of participants, snoring in 26.9%, and SDB in 13.4%. Positive screens for ADHD-inattentive (p < 0.001), ADHD-hyperactive/impulsive (p < 0.001), ADHD-combined (p < 0.001), ODD (p < 0.001), and anxiety/depression (p < 0.001) were significantly more frequent among children with SDB. In multivariable analysis, SDB remained independently associated with ADHD-combined subtype (OR = 6.22), ADHD-hyperactive/impulsive symptoms (OR = 5.84), oppositional-defiant disorder (OR = 4.91), and anxiety/depression (OR = 4.38). Conclusions: SDB was identified in a meaningful proportion of pediatric orthodontic patients and was significantly associated with multiple screening-defined behavioral symptom domains. These findings support consideration of brief airway- and sleep-oriented screening during orthodontic assessment, particularly in school-aged children presenting with mouth breathing, snoring, or behavioral concerns. Given the cross-sectional and questionnaire-based design, the findings should be interpreted as associative and warrant confirmation in prospective studies using objective sleep measures. Full article

Background/Objectives: Psychological barriers, particularly kinesiophobia and diminished psychological readiness, represent critical yet undertreated obstacles to a successful return to sport following anterior cruciate ligament reconstruction (ACLR). Scalable, preference-aligned educational interventions capable of addressing these barriers during early rehabilitation are lacking. We aimed to evaluate the effectiveness of structured educational content delivered via Snapchat, as an adjunct to standard ACLR rehabilitation, in reducing kinesiophobia (primary outcome) and improving psychological readiness and perceived knee function (secondary outcomes). Methods: A total of 120 adults with clinically elevated kinesiophobia (TSK-17 > 37) undergoing post-operative ACLR rehabilitation were enrolled in a quasi-experimental, two-arm study with non-randomized allocation at the clinic-branch level at two branches of the same sports rehabilitation clinic (Joint Clinics, Riyadh, Saudi Arabia). Branch allocation assigned 60 participants to each group (intervention and control). The intervention group received 12 weekly structured educational videos via Snapchat alongside standard rehabilitation; the control group received standard rehabilitation alongside general ACLR information videos via Snapchat. TSK-17, ACL-RSI, and IKDC were assessed at baseline and at 12 weeks. Primary analysis used ANCOVA covarying baseline scores, complemented by mixed repeated measures ANOVA and intent-to-treat analysis. Results: Both groups improved across all outcomes; the intervention group demonstrated significantly greater gains. ANCOVA revealed significant between-group differences favoring the intervention for TSK-17 (adjusted mean difference = −2.82; d = 0.54; p < 0.001; d represents Cohen’s d calculated from adjusted mean differences and pooled SD), ACL-RSI (+8.06; d = 0.77; p < 0.001), and IKDC (+8.90; d = 0.54; p = 0.002). Mean video completion was 82.8% among intervention participants. Intent-to-treat analyses using Multiple Imputation confirmed all findings. Conclusions: Snapchat-based structured education was associated with improvements in kinesiophobia, psychological readiness, and perceived knee function among the 102 analyzed participants (control n = 52; intervention n = 50) of the 120 enrolled. High engagement supports preference-based digital delivery as a scalable adjunct to standard rehabilitation. Full article

Background/Objectives: The Japanese Veterinary Antimicrobial Resistance Monitoring System (JVARM) conducts longitudinal monitoring of antimicrobial resistance (AMR) in indicator bacteria from food-producing animals. For Escherichia coli from healthy pigs, slaughterhouse-based sampling has been conducted for approximately a decade, yielding a substantial accumulation of MIC data. While JVARM reporting has traditionally focused on annual resistance proportions by drug, the availability of long-term data enables investigation of cross-drug relationships, including MIC similarity and co-resistance patterns. This study aimed to (i) identify the co-resistance structure among antimicrobial agents using MIC- and phenotype-based similarity measures and (ii) identify drug resistances most strongly associated with multidrug resistance (MDR). Methods: We analyzed broth microdilution MIC data obtained annually for E. coli isolates from healthy pigs in the JVARM program in Japan between 2012 and 2023. Antimicrobial resistance was classified from MIC results and annual resistance prevalence was calculated for each antimicrobial. For the co-resistance and MDR analyses, isolate-level data were pooled across the full study period. To identify co-resistance structure, we performed hierarchical clustering using (i) correlation-based similarity of MIC profiles and (ii) Jaccard similarity of binary resistance profiles (resistant/susceptible classification). Multidrug resistance (MDR; ≥3 antimicrobial classes) was further modeled using XGBoost with each drug resistance as a predictive feature, and feature contributions were evaluated using gain, permutation importance, and SHAP values. We also examined how SHAP-based attributions varied when the outcome definition was set to ≥1-, ≥2-, or ≥3-class resistance. Results: Within the study period, resistance remained highest for tetracycline and moderate for streptomycin, ampicillin, sulfamethoxazole–trimethoprim, and chloramphenicol, whereas resistance to other agents was low. MIC-based correlation analysis revealed coordinated variation among ampicillin, sulfamethoxazole–trimethoprim, streptomycin, chloramphenicol, and tetracycline. Separately, Jaccard similarity of binary resistance profiles identified two closely positioned co-resistance groupings (Ampicillin/Streptomycin/Tetracycline and chloramphenicol/sulfamethoxazole–trimethoprim). Ampicillin was identified as the medoid in both MIC-based and resistance-profile similarity spaces, with streptomycin also positioned near the center in both structures. In the XGBoost model for MDR (≥3 classes), ampicillin resistance was consistently the highest-contributing feature when evaluated by gain, permutation importance, and SHAP. When we examined how SHAP-based attributions varied across outcome definitions (≥1-, ≥2-, and ≥3-class resistance), feature importance largely followed resistance prevalence at ≥1–≥2 classes (tetracycline highest) but shifted at ≥3 classes to ampicillin as the top feature. Conclusions: Both MIC-based and phenotype-based analyses revealed co-resistance structures. Under the MDR definition used in this study, explainable machine-learning analyses showed that ampicillin resistance emerged as a leading resistance feature associated with MDR. Because these findings are associative rather than causal, further work will be needed to clarify mechanisms. These findings have important implications for antimicrobial resistance control in the Japanese pig sector, indicating that stewardship strategies may need to be tailored according to antimicrobial class and underlying co-resistance structure. Full article

A series of hexadecylpiperidinium surfactants containing alkyl (PMe-16, PEt-16, PBu-16), benzyl (Benz-16, 1-Benz-3-HP-16, 1-Benz-4-HP-16), and hydroxyl (3-HPMe-16, 4-HPMe-16) substituents in the ring were tested with the nematode Caenorhabditis elegans to investigate the relationship between nematocidal activity and the structural features of surfactants. It was found that increasing the hydrophobicity of the substituent in the surfactant head group reduced the nematocidal activity in the order PMe-16 > PEt-16 > PBu-16 > Benz-16. The lead compound, PMe-16, showed significantly higher activity than the commercial insecticide carbofuran, and was able to induce nearly complete nematode mortality within 24 h at a concentration of 50 μg·mL⁻¹, as well as suppress culture development at concentrations of 25–100 μg·mL⁻¹. All tested piperidinium surfactants inhibited nematode population development at 100 μg·mL⁻¹, while PMe-16 remained effective at concentrations as low as 25 μg·mL⁻¹. The membranotropic properties of the surfactants were evaluated using a turbidimetric method with dipalmitoylphosphatidylcholine (DPPC)-based liposomes as a model of biomembranes. Dynamic light scattering measurements were performed in parallel to assess changes in liposome size and zeta potential as a function of surfactant content, as well as to determine the critical concentration required to induce lipid bilayer destabilization. These results provide indirect evidence of surfactant–membrane interactions. The combinations of piperidinium surfactants and carbofuran showed pronounced synergistic effects, reducing the insecticide dose while maintaining efficacy. Synergy was evaluated using the Bliss independence model and the Highest Single Agent model. The addition of the most active surfactants (PMe-16 and 4-HPMe-16) at 6.25 μg·mL⁻¹ enabled an approximately twofold reduction in the carbofuran dose while maintaining full nematocidal activity. Full article

Gum arabic (GA) is a widely used natural hydrocolloid in food processing because its protein–polysaccharide architecture combines high water solubility, low bulk viscosity, and useful interfacial activity. These attributes make GA valuable as an emulsifier, encapsulating agent, and film-forming material, but native GA is constrained by source-dependent heterogeneity, limited antioxidant functionality, relatively high dosage requirements in some emulsions, and modest barrier and mechanical performance in dried matrices. This review synthesizes recent advances in chemical functionalization, enzymatic and oxidative grafting, physical fractionation and complexation, and Maillard-type bioconjugation as routes to tailor GA for food engineering applications. Emphasis is placed on process-relevant structure–property relationships, including dynamic adsorption, interfacial rheology, emulsifying and encapsulation efficiency, bulk rheology, powder glass transition and hygroscopicity, film barrier behavior, and release kinetics. Across beverage emulsions, spray-dried powders, coacervates, coatings, and delivery systems, the evidence shows that modification must be selected according to the dominant process bottleneck, such as adsorption kinetics, oxidative stability, drying behavior, or humidity-sensitive matrix mobility. This review also identifies priorities for translation, including model-ready measurements, the management of raw-material variability, scale-up-aware processing, and sustainability and regulatory practicality. Overall, modified GA emerges as a versatile platform for designing more robust, application-specific food colloids, encapsulates, and functional coatings. Full article

Mediterranean meadows of Posidonia oceanica are chronically exposed to complex mixtures of environmental contaminants, including metals and trace elements derived from coastal urbanization, maritime traffic, and industrial activities. This study aimed to assess metal-related toxicity in P. oceanica by integrating multi-element burden analysis with a panel of oxidative stress biomarkers. Concentrations of a wide suite of elements were quantified in samples of internal (juvenile), intermediate, and external (adult) leaves, reflecting the ontogenetic structure of the plant. Oxidative responses were evaluated using five biomarkers [i.e., hydrogen peroxide (H₂O₂), lipid peroxidation (TBARS), superoxide dismutase (SOD), glutathione S-transferase (GST), and catalase (CAT)] measured on each leaf compartment. Biomarker data were standardized and integrated into a merged Stress Index summarizing overall physiological toxicity. Associations between individual elements, the sum of all measured elements (ΣallElements), the Stress Index, and single biomarkers were explored using Pearson correlation analysis. Juvenile leaves exhibited the highest Stress Index values, elevated H₂O₂ and TBARS, and marked activation of SOD and GST, indicating early oxidative toxicity. Intermediate leaves showed a trend toward increased CAT activity, not reaching statistical significance, along with minimal damage, suggesting effective detoxification, whereas adult leaves accumulated higher levels of Fe, Ni, and Pb, but displayed moderate stress responses. Overall, leaf-class structure strongly modulated both exposure and toxicological response. The integration of ΣAllElements with multi-biomarker indices provides a robust framework for diagnosing metal-related toxicity in P. oceanica under realistic multi-element exposure scenarios. Full article

This work presents a loop-shaped (hairpin) resonator incorporating a defective ground structure (DGS) to enhance sensitivity for monitoring water–glucose solutions. The proposed sensor exhibits two resonant frequencies at 2.61 GHz and 4.07 GHz, with reflection coefficients of −46.60 dB and −23.00 dB, respectively. A set of measurements was conducted to compare the performance of the resonator with and without the DGS under two sample-placement configurations: one with water and water–glucose solutions positioned over the feed lines and metallic resonant elements, and another with the water–glucose solutions placed directly over the ground plane. Among the evaluated cases, the ground-plane configuration proved to be the most advantageous, as it produced no frequency shift while yielding distinct magnitude responses of −41.91 dB, −45.62 dB, −47.74 dB, and −49.69 dB for glucose concentrations of 100, 150, 200, and 250 mg/dL, respectively. Overall, the resonator with the defective ground structure consistently demonstrated higher sensitivity and a more stable response pattern, indicating its strong potential for glucose-level monitoring applications. Full article

While the popularity of eSports continues to grow, academic research on the topic remains limited, particularly in the African context. To address this scholarly limitation, this study applied the stimulus-organism-response theory to determine the influence of flow and competitiveness on young adult non-professional gamers’ attitude and continued play intentions toward eSports in South Africa. Guided by the explanatory research design and using a single cross-sectional sample, an online questionnaire was used to collect data from 327 young adult non-professional gamers in South Africa. Data analysis included summary statistics and structural equation modeling. Summary statistics indicated that young adult non-professional gamers experience a sense of flow whilst playing eSports, that such gameplay ignites their sense of competitiveness, that they have a positive attitude toward eSports, and intend to continue playing eSports. The measurement model displayed robust reliability, convergent and discriminant validity, and acceptable model fit. Both flow and competitiveness had a positive statistically significant effect on young adult non-professional gamers’ attitude toward eSports, which in turn, had a positive statistically significant influence on their continued play intentions toward eSports. The study extends the application of the stimulus-organism-response theory to the under-researched context of eSports in a developing market. Full article

This study characterizes the structure and variability of baroclinic semidiurnal tidal currents at the head of the Biobio Submarine Canyon (BbC), off central Chile, based on Acoustic Doppler Current Profiler (ADCP) and moored thermistor-chain observations from two deployments conducted in 2013 and 2014 under contrasting stratification conditions. The results show that the head of the BbC is a dynamically active site of semidiurnal variability, with markedly stronger and more coherent baroclinic motions during the more stratified winter–spring 2014 period. During that deployment, semidiurnal baroclinic current amplitudes reached up to 17 cm s${}^{-1}$, and the associated energy was concentrated near the surface and bottom. Rotary spectral analysis indicated that these semidiurnal baroclinic currents rotated anticyclonically and were closely aligned with the canyon axis. Empirical orthogonal function (EOF) analysis further showed that their vertical structure was dominated by a first baroclinic mode, which explained more than 70% of the semidiurnal baroclinic variance in 2014. In contrast, the 2013 deployment exhibited weaker and less coherent semidiurnal baroclinic variability. Taken together, these results indicate that stronger stratification favored the development of semidiurnal internal-tide-related motions over the canyon head and that the BbC provides a dynamically favorable setting for enhanced semidiurnal internal-tide activity and potentially elevated mixing, although direct turbulence or dissipation measurements were not available in this study. These findings have potential implications for local water-column structure, nutrient supply, and primary productivity in this highly productive coastal region. Full article

In this paper we study photon entanglement in the framework of Maxwell–Schwartz field theory. The ambient state space is the complex Maxwellian distribution space $W={\mathcal{S}}^{\prime }({\mathbb{M}}_4,{\mathbb{C}}^3)$, whose elements are fields of the form $F=\overrightarrow{E}+ic\overrightarrow{B}$. Polarization is realized as a two-dimensional complex subspace of W, generated by suitable linearly polarized Maxwellian solutions associated with opposite propagation directions. This yields canonical polarization sectors $P_A$ and $P_B$, each naturally isomorphic to ${\mathbb{C}}^2$. Within this setting, the Bell singlet state is represented by a non-factorizable tensorial Maxwellian field in $P_A\otimes P_B\subset W\otimes W$. By means of the induced rotated polarization bases, the standard joint probabilities of the photon polarization experiment are recovered exactly, and the correlation law $E(a,b)=-cos\left(2\right(a-b\left)\right)$ is obtained. Consequently, the usual CHSH value $2\sqrt{2}$ is reproduced in the Maxwell–Schwartz framework. To clarify the meaning of this violation, we first formulate the CHSH inequality in a purely measure-theoretic form, as a theorem about four correlators represented on a single probability space by bounded measurable functions. We then show that the correlators produced by the intrinsic Maxwellian Bell state do not admit such a common representation. The obstruction is structural: the ontic state is a global non-product field configuration, and the four correlations arise from different polarization resolutions of the same tensorial Maxwellian state. A second main result concerns the Born rule. For $L^2$ scalar quantum states in the domain of the Maxwellian correspondence, we prove that the squared Hilbert norm, times the constant ${\epsilon }_0$, coincides with the electromagnetic energy of the associated field. This leads to an energy interpretation of the Born rule: the Born probability density is identified with the normalized electromagnetic energy density up to an interference term depending on the chosen Maxwell–Schwartz isomorphism, which assumes the role of a quantum context. In the context of the Aspect and collaborators’ experiment, we prove that, on the other hand, the polarization probabilities become energy contributions of the corresponding field components. These results show that photon entanglement, Bell inequality violation, and the Born rule admit a coherent interpretation within Maxwell–Schwartz field theory, where the basic ontological objects are electromagnetic-like fields rather than abstract state vectors. Full article

[Problem] Converting viral tourism popularity into long-term destination sustainability is a central governance challenge in the digital era. [Aim] This study aims to explicitly measure how emotional value mediates the transition from ephemeral online traffic to durable offline place attachment. [Methodology] Adopting a descriptive mixed-methods approach, data were collected through semi-structured interviews with 16 purposively selected participants (including tourists and locals) recruited via on-site intercepts and online snowball sampling. The inclusion criterion required active engagement with Harbin’s digital tourism discourse. Qualitative transcripts were coded using the NVivo 12 software and subsequently converted into panel data. Grey Panel Relational Clustering was then utilized to geometrically track tourist emotional trajectories. [Results] The analysis identified three structural tourist typologies—the Full-Link Empathy Type, Pragmatic Verification Type, and Traffic-Driven Co-conspirator Type—and revealed three corresponding synergistic paths driving online–offline integration: Virtual–Real Isomorphism, Complementarity, and Symbiosis. [Conclusions] The findings demonstrate that sustainable destination resilience depends fundamentally on the qualitative composition of emotional engagement across different tourist types, rather than sheer visitor volume. [Implications] This study contributes an empirically grounded, emotional value-driven framework to sustainable tourism theory, offering differentiated governance strategies for destinations navigating the volatility of platform-driven attention economies. Full article

The construction sector in Saudi Arabia is under increasing pressure to enhance productivity and technological capability in line with Vision 2030, yet the adoption of artificial intelligence (AI) remains uneven. This study investigates the multi-level barriers affecting AI adoption in the Saudi construction industry using a sequential explanatory design that combines large-scale survey analysis with Interpretive Structural Modeling (ISM) and MICMAC classification. Data were collected from 181 construction professionals through a structured questionnaire covering eight constructs and 50 measurement items. Descriptive statistics reveal moderate AI utilization with a clear preference for analytics-driven applications over physical automation technologies. Perceptual rankings identify trust deficits and workforce capability gaps as prominent concerns. However, the ISM hierarchy uncovers a different structural reality: limited government support emerges as the root driver, cascading through cost and leadership constraints into workforce deficiencies, attitudinal resistance, and ultimately data ecosystem challenges. This perception–structure divergence highlights the risk of prioritizing visible symptoms over foundational causes. The MICMAC analysis further confirms the dominance of policy and strategic drivers within the adoption system. The study contributes by providing one of the first hierarchical mappings of AI adoption barriers in the Saudi construction context and offers a phased intervention roadmap for policymakers and industry leaders. The findings emphasize that sustainable AI diffusion in government-influenced construction ecosystems requires coordinated action across regulatory, organizational, and human capital dimensions rather than isolated technical investments. Full article

Ship maneuvering models based on MMG or Abkowitz formulations often suffer from systematic mismatches under real operating conditions, where shallow water, hull fouling, rudder degradation, and wind loads may coexist. This study proposes a physics-structured residual learning framework for multi-source disturbance decomposition and compensation. Disturbance-specific expert networks are introduced to map different disturbance sources into separate residual channels. A CNN-SE-BiLSTM encoder is further designed to estimate the slowly varying latent disturbance states from residual sequences, whereas wind is treated through an external pathway owing to its directly measurable and higher-frequency nature. Simulations on the KVLCC2 benchmark vessel under single-source, triple-source, and wind-inclusive disturbance scenarios demonstrate stable long-horizon closed-loop autoregressive prediction, with position-RMSE reductions of 74.7–91.7% relative to the corresponding nominal-MMG and wind-ablation baselines. These results indicate that the proposed physics-structured residual learning framework improves long-horizon prediction accuracy while retaining interpretable and modular disturbance-specific correction channels under complex operating conditions. Full article

This study examined the effects of a 16-week periodized resistance training program on the strength, power, and body composition of elite collegiate cheerleaders. Thirteen female athletes from a nationally top-ranked university team completed a structured program comprising hypertrophy and strength/power phases. Performance testing at pre-, mid-, and post-intervention included one-repetition maximum (1RM) assessments for the front squat, power clean, and shoulder press, as well as measurements of body mass, lean body mass, and body fat percentage. All strength measures improved significantly across the intervention (front squat: +14.0%, power clean: +17.7%, and shoulder press: +18.3%). Body fat percentage decreased by 6.7%, and lean body mass increased by 2.6%, while total body mass remained statistically unchanged. These results demonstrate that periodized resistance training can elicit meaningful improvements in performance and body composition without increases in body mass. Moreover, the final post-intervention 1RM values—1.43× body mass for the front squat, 1.11× for the power clean, and 0.73× for the shoulder press—offer preliminary benchmarks for the strength performance of high-level collegiate cheerleaders. Full article