Abstract: Polyaniline-cadmium sulfide-gold (PANI-CdS-Au) nanocomposites were synthesized with varying Au loadings (0.023, 0.046, 0.092)wt% to enhance antibacterial performance. Structural (FTIR, XRD) and morphological (FE-SEM) analyses confirmed successful formation, strong interactions among components, and homogeneous nanoparticle dispersion. UV–Vis spectra revealed gold surface plasmon resonance and polaronic transitions consistent with PANI emeraldine base. XRD results showed the expected wurtzite CdS and fcc Au phases. Agar well diffusion tests against Escherichia coli (Gram-negative) and Staphylococcus aureus (Gram-positive) demonstrated that the 0.092 wt% of Au composite produced the largest inhibition zones at 100 µg mL⁻¹ (E. coli: 36 mm; S. aureus: 24 mm), with the same trend at 25 µg mL⁻¹. These results position PANI-CdS-Au nanocomposites as promising antibacterial materials; additional cytotoxicity assays are recommended for biomedical translation.

Abstract: Otolith microchemistry was used to investigate habitat use and connectivity of the estuarine catfish Genidens genidens across three estuaries in southeastern Brazil. A total of 58 individuals were analyzed using laser ablation inductively coupled plasma mass spectrometry, focusing on strontium-to-calcium (Sr:Ca) and barium-to-calcium (Ba:Ca) ratios. Variations in elemental ratios along otolith transects allowed the reconstruction of individual ontogenetic trajectories along the estuarine–marine gradient. Most individuals exhibited combined use of estuarine and marine environments, while trajectories restricted to freshwater were rare. The complexity of chemical profiles increased with age, indicating more frequent habitat shifts throughout ontogeny. These patterns reveal high ecological plasticity and partial migration within populations of G. genidens. Strontium-to-calcium ratios were effective indicators of salinity-related habitat transitions, whereas Ba:Ca ratios provided complementary information associated with continental influence. Overall, this study demonstrates the applicability of otolith microchemistry to infer individual life-history pathways and highlights the role of estuaries as key habitats for feeding, growth, and recruitment in G. genidens.

Abstract: General Relativity (GR) has long been confronted with a fragmentation dilemma regarding black hole singularities and galaxy rotation curves: the former requires undetectable higher-dimensional quantum gravity to circumvent infinite curvature, while the latter similarly relies on undetectable dark matter to provide additional gravitational force. In this paper, we abandon the hypothesis of undetectable entities and reveal that the two challenges may share an intrinsic geometric solution: the universal asymptotic behavior of mainstream dark matter halo models is equivalent to a logarithmically corrected gravitational potential \( \Phi(r)\sim-(\ln{r}+1)/r \), which originates from the self-response of the curvature divergence at the GR singularity (\( R^r_{trt}\propto r^{-3} \)) via Poisson integration. At the microscopic scale, the sign reversal of lnr generates a repulsive effect, thereby avoiding the singularity. The constructed logarithmically corrected Schwarzschild metric is rigorously solved via the Lambert W function, revealing a layered internal structure determined by the black hole mass M (with thickness ∝1/M), which realizes the holographic screen of the renormalization group flow under the AdS/CFT correspondence. On this basis, we present parameter-free a priori predictions for the black hole shadows of Sgr A* and M87* that are consistent with Event Horizon Telescope (EHT) observations, and provide rigid falsifiable predictions for unobserved black holes, especially the crucial discriminative prediction for NGC315. On the galactic scale, the logarithmic term enables the fitting of the rotation curves of the Milky Way, the Andromeda Galaxy, and NGC2974 without the need for additional gravity from dark matter. Meanwhile, the tidal acceleration difference in the Solar System (Δg∼10^-18 m/s²) is far below the current experimental limit, ensuring the validity of the equivalence principle without the need for a screening mechanism. This work demonstrates that gravitational phenomena from black holes to galaxies are governed by the spacetime self-response triggered by the GR singularity. It further reveals that macroscopic gravitational systems may be “holographic projections” of quantum topological structures (quantum vortices). This framework thus pulls quantum gravity research from pure mathematical modeling back to the energy scales accessible to contemporary observations, and provides a new direction for thinking about the unification of General Relativity and quantum mechanics.

Abstract: Background: Exclusive breastfeeding (EBF) is a critical public health intervention for improving maternal and child health outcomes. This study evaluated the knowledge, practices, and challenges regarding EBF among mothers in the Ife East Local Government Area (LGA), Osun State. Methodology: A cross-sectional survey was conducted among 200 respondents. Data were collected via structured questionnaires administered across various residential areas, including Ita Osa (10.5%) and Ifelodun (9.5%). Statistical analysis was performed to determine the relationship between geographic area and access to healthcare. Results: The majority of participants were aged 20–24 years (33.5%), married (79.5%), and of Yoruba ethnicity (80.5%). Approximately 49.0% held tertiary education qualifications. Access to medical facilities varied significantly by area (x2=32.971, p=0.002), with Ita Osa reporting the highest easy access (10.5%). Regarding knowledge, 48.5% of mothers believed EBF should last 3–6 months, while 40.5% correctly identified the 6-month standard. Healthcare providers were the primary source of EBF information (46.0%). The most recognized benefits included boosting the child's immune system (62.5%) and reducing the mother's risk of breast cancer (74.5%). However, significant barriers persist, notably inadequate nutrition supply (37.0%), pain/discomfort (28.0%), and the return to work (27.5%). Respondents identified emotional support (38.5%) and education (35.5%) as the most desired forms of assistance from family and providers. Conclusion: While there is a high level of awareness regarding the benefits of EBF in Ife East LGA, there remains a gap in precise knowledge regarding its recommended duration. Addressing physiological challenges like nutrition and structural barriers, such as workplace re-entry, is essential to improving EBF rates.

Abstract: Human papillomavirus (HPV) E6/E7 oncoproteins perturb host gene regulatory networks, driving oncogenesis. Existing computational methods often struggle to provide interpretable, chain-of-thought mechanistic explanations for observed transcriptomic changes. To address this, we introduce OncoReasoner, a novel framework that integrates biological expression analysis with the advanced reasoning capabilities of large language models (LLMs) and graph neural networks (GNNs). OncoReasoner comprises an Expression Encoder for rich gene embeddings, a Bio-LLM Reasoning Module for context-aware mechanistic explanations, and a Graph Refinement Module leveraging GNNs and prior knowledge for network consistency. Evaluated on diverse datasets, including GEO and TCGA, our framework significantly outperforms traditional statistical methods, GNNs, and other LLM baselines across differential gene expression classification, regulatory network edge prediction, and particularly, functional pathway reasoning. OncoReasoner notably achieves high accuracy in pathway identification and receives excellent expert ratings for its mechanistic explanations, demonstrating its superior ability to provide deep, accurate, and highly interpretable biological insights. An ablation study confirms the critical contribution of each module, and human evaluation further validates the qualitative excellence of its mechanistic explanations, marking a substantial advancement in explainable AI for cancer research.

Abstract: Background: Psychological safety—the belief that one can speak up without fear of negative consequences—is fundamental to team learning and performance, yet controlled experimental research is constrained by practical and ethical limitations. This study validates large language model (LLM) agents as a methodological tool for simulating team psychological safety dynamics by comparing AI-simulated teams against human teams across identical experimental scenarios. We conducted parallel experiments with 5,280 AI teams (26,400 agent interactions across 5 LLM architectures) and 249 human teams (1,245 participants; final analytic sample: 247 teams, 1,235 participants after quality screening) using a 2×2 factorial design manipulating leader inclusiveness (High/Low) and error management culture (Learning/Blaming). Teams completed realistic work scenarios while we measured psychological safety perceptions, learning behaviors, team performance, and moderating effects of demographic diversity. A comprehensive validation framework assessed convergent validity (main effects, moderation patterns, mediation pathways), discriminant validity (falsification tests), and measurement properties. AI simulations demonstrated strong convergent validity for main effects: leader inclusiveness effect size (AI: d = 2.21, 95% CI [2.13, 2.29]; Human: d = 1.58, 95% CI [1.42, 1.74]), error culture effect (AI: d = 1.39, 95% CI [1.32, 1.46]; Human: d = 0.97, 95% CI [0.82, 1.12]). AI effects were consistently larger than human effects across all relationship types. Main effects showed calibration ratio = 1.42× (95% CI [1.37×, 1.49×]), with precision-weighted calibration across all 14 effect comparisons = 1.38× (95% CI [1.32×, 1.44×]). This systematic inflation requires effect size adjustment when extrapolating to human teams: multiply main effects by ≈0.70, correlations by ≈0.88, with type-specific calibration detailed for different relationship types.AI effects were consistently larger (mean ratio = 1.40×), suggesting a systematic calibration factor. Mediation pathways showed parallel structure (AI: 77.7% mediated, 95% CI [73.2%, 82.2%]; Human: 90.7%, 95% CI [83.8%, 97.6%]), with bootstrap difference test indicating proportions do not differ significantly (p = .182) despite narrowly non-overlapping individual confidence intervals. Moderator convergence varied: demographic composition effects showed lower pattern correlations (r = .43, 95% CI [.09, .68]) compared to main effects (r = .97, 95% CI [.89, .99]). Eight falsification tests confirmed discriminant validity: AI teams showed theoretically appropriate null effects in control scenarios (8/8 tests supported predictions after theoretical refinement). Cross-model consistency was high (ICC = .79, 95% CI [.73, .84]), with calibration factors stable across architectures (SD = 0.04), indicating systematic rather than model-specific inflation. GPT-4 and Claude-3.5 showed closest absolute alignment to human effect magnitudes. LLM-based simulations offer valid approximations of psychological safety dynamics for theory testing, with predictable calibration requirements (effect size multiplier ≈ 0.70). These tools enable hypothesis testing at scales and experimental control infeasible with human participants, though current limitations in capturing complex moderator interactions and precise effect magnitude warrant continued validation. This methodology significantly expands the experimental toolkit for team science research.

Abstract: The application of quantum machine learning (QML) to security-relevant problems has attracted growing attention, yet its practical behavior in realistic workloads remains insufficiently characterized. This paper investigates the feasibility and limitations of variational quantum classifiers (VQCs) in a representative side-channel analysis (SCA) setting focused on distinguishing real from dummy power traces. A controlled benchmark framework is developed to examine training stability, sensitivity to key design parameters, and resource–performance trade-offs under realistic constraints. Hardware-relevant factors, including finite measurement budgets and device noise, are incorporated to approximate execution beyond idealized simulation and to quantify inference-time robustness. Experimental results indicate that VQCs can extract meaningful discriminative patterns from structured side-channel inputs, while robustness and performance depend on encoding choices, circuit depth, and measurement conditions. These findings provide an empirically grounded perspective on the applicability and limitations of QML in side-channel security and offer practical guidance for future research in this area.

Abstract: Consumption of Sechium edule var. nigrum spinosum has been shown to have hypoglycemic and antioxidant effects. However, the molecular mechanisms underlying these effects remain unknown, with the sirtuin-mediated signaling cascade among the possible mechanisms, as sirtuins regulate glucose metabolism and respond to various stressors. This study aimed to evaluate the effect of Sechium edule on the gene expression of the sirtuin family (SIRT1-SIRT6) in individuals with type 2 diabetes mellitus (T2DM). A quasi-experimental study was conducted with a convenience sample of 26 older adults diagnosed with T2DM: (i) placebo group (PG; n=12); (ii) experimental group (EG; n=14). Clinical, biochemical, and anthropometric measurements were performed, and total oxidant/antioxidant capacity (TOS/TAS) and mRNA expression of genes encoding sirtuins were determined. All parameters were measured at baseline, three months, and six months after the intervention. In the EG, gene expression levels of SIRT1, SIRT3, SIRT5, and SIRT6 increased by 52%, 69%, 62%, and 69%, respectively, six months after treatment. A 50% decrease in TOS and a 44% increase in TAS were also observed. Our findings suggest that the bioactive components of Sechium edule enhance sirtuin expression and exhibit antioxidant effects in older adults with T2DM.

Abstract: This paper proposes a novel information-theoretic upper bound on the mutual information between the physical position of a user and the observed MIMO channel state information (CSI). Unlike classical Cram’er-Rao bounds or I-MMSE relations, our bound explicitly incorporates the spatial variability of the channel via the Jacobian of the channel with respect to position. We provide a derivation for both local linearized models and global nonlinear bounds, highlighting the dependence on array geometry and multipath structure. The results offer new insight into the intrinsic information available for position estimation and semantic localization in wireless networks.

Abstract: Documentation of immovable cultural heritage is a fundamental prerequisite for its con-servation, restoration, and sustainable management. Recent advances in geospatial tech-nologies have significantly improved the accuracy, efficiency, and completeness of spatial data acquisition for historic structures. This study evaluates the contribution of terrestrial laser scanning (TLS) and close-range photogrammetry based on unmanned aerial vehi-cles (UAVs) to the engineering and architectural documentation of immovable cultural heritage. The Church of St. Petka (Sitovo village, Bulgaria), a 19th-century stone masonry monument, is used as a case study. High-density point clouds were generated using TLS and UAV-based photogrammetry and were georeferenced through classical surveying methods. The resulting datasets were assessed in terms of geometric accuracy, level of de-tail, and applicability for architectural documentation and conservation tasks. Accuracy evaluation based on measured control distances indicates a mean squared error below 1 cm for both methods. The results demonstrate that TLS provides superior precision and reliability for interior documentation, while UAV-based photogrammetry is particularly effective for capturing roof structures and inaccessible exterior elements. The integration of both technologies enables the creation of accurate 3D models and GIS-ready spatial prod-ucts, supporting informed decision-making in cultural heritage conservation.

Abstract: Conjugated linolenic acids (CLnAs) are emerging as promising agents to trigger ferroptosis, a cell death driven by excessive lipid peroxidation, in cancer cells. Given the aggressive nature and treatment resistance of malignant melanoma, exploring CLnAs as therapeutic agents may offer a novel strategy to overcome these challenges. Here, we investigated the toxicity of four CLnA isomers on human (A375, WM266.4) and zebrafish (ZMEL1) melanoma cell lines. We observed a dose-dependent reduction in cell viability across all three tested cell lines. While human melanoma cells were more sensitive to CLnAs than ZMEL1 cells, treatment with ferroptosis inhibitors mitigated cell death in all models, confirming ferroptosis as the consistent primary mechanism of cell death. In addition, chemical inhibitors of ACSL4 and GPX4 modulated CLnA toxicity, further substantiating the ferroptotic mechanism by highlighting the role of these key regulators. Furthermore, fatty acid analysis revealed that CLnAs were effectively incorporated into phospholipids, generating substrates for lethal lipid peroxidation. At the transcriptional level, CLnA treatment significantly upregulated the pro-ferroptotic gene acsl4a in ZMEL1 cells. Overall, our study identifies specific CLnAs as potent ferroptosis inducers in both human and zebrafish melanoma cells and underscores the translational relevance of the zebrafish model based on a shared ferroptotic mechanism.

Abstract: Cancer progression is influenced by the dynamic interplay between tumor cells and the surrounding stromal microenvironment. Therapy-induced senescence (TIS) of stromal fibroblasts represents a common outcome of anticancer treatments, contributing to tumor progression through the senescence-associated secretory phenotype (SASP). While SASP cytokines promote cancer malignancy, the contribution of secreted metabolites from senescent cells remains poorly understood. Here, we investigate the role of senescent stromal metabolism in regulating prostate and ovarian cancer cell invasion. Conditioned media (CM) from TIS-induced human prostate (HPFs) and ovarian fibroblasts (HOFs) promote enhanced invasion of cancer cells. Invasion is partially preserved after exposure to boiled, protein depleted CM, suggesting a role for heat-stable metabolic factors. Metabolomic profiling of senescent fibroblasts-derived CM reveals a significant increase in Glutamine (Gln) levels. Exposure of cancer cells to senescent CM increases Gln uptake, together with upregulation of the transporter SLC1A5 and increased intracellular Gln. This metabolic adaptation is associated with increased malignant phenotype including epithelial-to-mesenchymal transition (EMT) and stemness features. Extracellular Gln depletion, pharmacological inhibition of glutaminase-1 (GLS1) in cancer cells or Gln synthetase (GS) silencing in fibroblasts markedly impair senescent fibroblasts CM-induced invasion, EMT markers expression, and stemness features in cancer cells. Mechanistically, stromal-derived Gln promotes cancer cell invasion through activation of a redox-dependent NRF2/ETS1 signaling axis. Analysis of patient-derived transcriptomic datasets further supports chemotherapy-associated upregulation of Gln metabolism and ETS1 expression. These findings identify senescent stromal-derived Gln as a key metabolic driver of prostate and ovarian cancer aggressiveness, and a potential therapeutic vulnerability in the context of TIS.

Abstract: The theory of physical degrees of freedom (DoF) developed by Franceschetti–Migliore– Minero (FMM) establishes a fundamental phase transition in the singular-value spectrum of electromagnetic radiation operators under maximal rotational symmetry. In this work, we revisit this result from a symmetry-explicit operator-theoretic perspective and extend it to scenarios with reduced and controllable symmetries, with particular emphasis on reconfigurable intelligent surfaces (RIS). We model the radiation process as a compact operator acting between admissible source and observation spaces and characterize its symmetry through group equivariance. This formulation enables a systematic decompo- sition of the operator into irreducible representation sectors associated with the effective symmetry group, defined as the intersection of symmetries supported jointly by the source architecture, RIS geometry and programmability, receiver configuration, and propagation environment. We show that the FMM phase transition persists within each symmetry sector and that the total DoF budget is redistributed across sectors according to symmetry constraints. A key outcome of this analysis is the distinction between physical and effective degrees of freedom. While breaking the maximal SO(2) symmetry does not increase the total number of electromagnetic DoF dictated by physics, symmetry reduction modifies their allocation across sectors, potentially lifting degeneracies and increasing the number of degrees of freedom that can be effectively addressed by a given excitation, RIS control, and measurement architecture, even when the total number of physical DoF remains fixed by fundamental limits. This clarifies the role of controlled symmetry breaking as a design mechanism rather than a means to surpass fundamental limits. The proposed framework bridges electromagnetic operator theory, representation theory, and RIS-enabled system design, providing both rigorous symmetry-resolved DoF accounting and actionable in- sights for excitation, surface programmability, and measurement strategies under practical architectural constraints.

Abstract: Nitric oxide (NO) is a gaseous biocompatible radical molecule with demonstrated biomedical and antimicrobial benefits. Developing adaptable, long-lasting delivery systems for NO has become an essential goal for both combating resistant bacterial growth and providing sustained medical benefits. Silsesquioxane (SQ)-based organo-gels were chosen and synthesized as robust, tunable NO-release platforms. These highly stable SQ gel frameworks, composed of silicon–oxygen backbones with variable R-groups, exhibited high porosity and surface area, and offered chemical versatility, enabling control over NO loading and release. 3-Mercaptopropyl groups were utilized as sulfur-based NO-releasing substituents (-RSNOs), with additional R-groups capable of altering accessibility to RSNO sites through hydrophobicity and steric hindrance. The NO release profile, rate, and duration from the functionalized gels were also tailored by adjusting the number of RSNO sites in the elastomeric system, thereby enabling a customizable release profile. This combination of NO-releasing silsesquioxanes with silicone elastomers yields composite materials that are integratable into biomedical applications, offering NO release up to 40 days within modeled physiological conditions in PBS buffer.

Abstract: Structural Equation Modeling (SEM) is a key framework for analyzing complex economic relationships involving latent variables, mediation effects, and endogeneity, yet the choice between frequentist and Bayesian estimation remains theoretically and practically contested, especially in settings with non-stationary data and small samples. This study provides a formal comparison of the two approaches by formulating SEM as a probabilistic graphical model and deriving the corresponding estimation procedures, identifiability conditions, and uncertainty measures. We examine asymptotic properties of frequentist estimators and posterior consistency in Bayesian SEM, with particular attention to integrated time-series SEM applications such as shadow economy estimation. The analysis shows that while both approaches converge under large-sample conditions, important differences arise in finite samples. Bayesian methods exhibit more stable inference through coherent uncertainty quantification and greater robustness to model misspecification, especially when prior theoretical information is available. In contrast, frequentist estimators rely more heavily on asymptotic assumptions that may be violated in typical economic datasets. These findings suggest that Bayesian SEM offers practical advantages for empirical economic modeling under realistic data constraints, without rejecting the theoretical validity of frequentist methods in large-sample settings.

Abstract: Protein-oxidized soybean meal (OS) is soybean meal whose proteins have undergone oxidative damage during storage, causing oxidative stress and inflammatory injury in animals. Quercetin (Q) has been shown to possess antioxidant and anti-inflammatory effects. Therefore, to explore these effects of Q on rats fed OS, a 2 × 2 two-factor completely randomized design was adopted. 48 SD rats were randomly divided into four groups: fresh soybean meal (FS) group, FS + Q group, OS group, and OS + Q group, and fed for 28 days. The results showed that compared with the FS diet, the OS diet significantly increased serum levels of glucose and urea nitrogen (P < 0.05), and induced inflammatory lesions in the duodenum, jejunum, and liver. The OS diet reduced total antioxidant capacity (T-AOC), glutathione peroxidase (GSH-Px) activity while increasing reactive oxygen species (ROS) content in the jejunum (P < 0.05); In the liver, it increased malondialdehyde (MDA) content but decreased glutathione (GSH) levels and GSH-Px activity (P < 0.05); the OS diet elevated the contents of the IgG and interleukin-6 (IL-6) in both jejunum and liver (P < 0.05), and up-regulated jejunal and hepatic pathways related to heme biosynthesis and ROS synthesis (P < 0.05). In contrast, compared with the diet without Q, Q supplementation significantly reduced serum globulin levels (P < 0.05), and improved intestinal and liver inflammatory lesions. In the jejunum, Q supplementation decreased ROS content and increased catalase (CAT) activity and T-AOC (P < 0.05), and downregulated the “heme biosynthesis” pathway (P < 0.05); In the liver, it increased T-AOC and decreased MDA content (P < 0.05), down-regulated the “ROS metabolic process” and related molecular pathways (P < 0.05), and normalized the expression of key genes (Ccl20, Duox1, Cyp4a2) and proteins (Ccl20, Duox1) in jejunum and liver (P < 0.05). These findings indicate that Q alleviates OS-induced oxidative stress, inflammation, and tissue damage in rats by regulating heme and ROS pathways.

Abstract: Morocco, facing a growing prevalence of chronic diseases such as diabetes, hypertension, and cardiovascular diseases, must overcome significant challenges to modernize its healthcare system. In this context, the integration of digital technologies, including telemedicine, the Internet of Medical Things (IoMT), Artificial Intelligence (AI), and healthcare system interoperability, represents a promising solution to improve the management of chronic diseases. This article examines how these technologies can be utilized to transform the Moroccan healthcare system into a more accessible, efficient, and patient-focused model of care. The paper reviews recent pilot projects and initiatives, focusing on infrastructure development, remote monitoring, AI and IoMT integration, public health campaigns, and national health programs aimed at improving access to treatment. Building on these observations, the paper explores the potential of an integrated digital health system for managing chronic diseases and proposes a national integrated care architecture that connects Morocco's public and private healthcare providers. These insights highlight the significance of digital health in Morocco and provide a framework for improved, more patient-centered, and more efficient advanced healthcare. Future perspectives focus on developing an adapted digital transformation approach to further enhance chronic disease management.

Abstract: The Mongolian Ulaan Uul Tungsten Deposit is located in the southern segment of the Altai Cu-Pb-Zn-W-MoNi-Au-Ag-Sb-Co-Fe Metallogenic Belt. The metallogenic belt is situated in the border area of China, Russia, Mongolia, and Kazakhstan, where over 40 large-sized deposits have been discovered. Among these, only one large-sized deposit is found on the Mongolian side, while the others are medium or small in size. Therefore, strengthening the study of typical deposits and summarizing the metallogenic rules of this region is the best way to achieve a breakthrough in mineral exploration of Altai region in Mongolia. This study focuses on the Ulaan Uul W deposit, a newly identified deposit of Tungsten mineralization within the southern segment of the belt. We examine the deposit’s zircon U-Pb geochronology and Sm-Nd isotopic data. The LA-ICP-MS zircon U–Pb dating of the ore-bearing alkali feldspar granite indicates crystallization ages of 212.5±2.2 Ma, which closely align with the wolframite Sm-Nd isochron age of 211.2±1.5 Ma for the Ulaan Uul W deposit, suggesting an Late Triassic magmatic event marked by W-dominated mineralization coinciding with the extensional tectonic setting following the subduction-collision of the Tarim Craton and the Altai Orogenic Belt. Regional data indicate that the Altai metallogenic belt experienced concentrated W mineralization between 242 and 211 Ma. The formation of W- dominated deposits, such as Ulaan Uul in the southern segment of the belt, is at least 30Ma later, which underscores the presence of a significant W metallogenic event during this critical post-collision to extensional mineralization period.

Abstract: Artificial intelligence (AI) is transforming organizational processes and workforce capabilities across multiple sectors, generating important implications for sustainable organizational performance. In educational institutions—an underexplored organizational context—administrative staff represent a critical workforce segment whose competencies, adaptability, productivity, and decision-making capacity directly shape institutional sustainability. Yet empirical evidence on how AI adoption affects these outcomes in emerging economy educational settings remains limited. Addressing this gap, the present study examines the predictive relationships between AI adoption and four organizational sustainability indicators: job competencies (CL), resistance to change (RC), administrative productivity (PA), and decision-making autonomy (ATD) among administrative personnel in educational institutions in Chimbote, Peru. A quantitative, cross-sectional, non-experimental design was employed, using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4.0. Data were collected from 98 administrative staff members across 54 educational institutions. The measurement model confirmed adequate reliability, convergent validity, and discriminant validity across three constructs; however, the Resistance to Change construct exhibited insufficient internal consistency reliability (Cronbach’s alpha below .70) and weak indicator loadings, failing to meet recommended PLS-SEM thresholds [77,81] and precluding its inclusion in the structural model. The structural results indicate that AI adoption exerts a positive and statistically significant predictive association with job competencies (β = 0.627, t = 11.55, p < 0.001), administrative productivity (β = 0.589, t = 9.885, p < 0.001), and decision-making autonomy (β = 0.398, t = 5.267, p < 0.001). The three empirically testable hypotheses (H1, H2, H3) are supported; H4 (Resistance to Change) could not be tested due to measurement reliability constraints. These findings position AI as a substantive driver of sustainable organizational performance in resource-constrained educational contexts, offering empirical evidence from a Latin American emerging economy perspective in alignment with Sustainable Development Goals 4, 8, and 9.

Abstract: To analyse impact of levee axis adjustment on flow variation in the Xinsha Island which is located in the middle segment of the Fuchun river waterway in Fuyang, Hangzhou, a two-dimensional river flow model was constructed. In the model steady flow with different return periods and unsteady flow in 20-year period were simulated. Consistent outcomes were obtained under steady and unsteady flow. Results indicated that after the levee axis is adjusted, the longer the return periods, the higher the water level in the southern waterway, with a maximum increase of 0.183 m. Conversely, the northern waterway exhibits a more pronounced water level decrease, with a maxi-mum reduction of 0.128 m. The flow velocity of the southern waterway slows down, and the flow velocity of the northern waterway increases. After the levee axis is ad-justed, the flow diversion capacity of the north waterway is effectively enhanced, thereby benefiting flood regulation. These findings provide a sound theoretical basis and well-founded recommendations for adjusting levee axis position and enhancing flood resilience in the Xinsha Island area of the Fuchun River.