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.

Abstract: Background: In Canada, racialized communities, including African, Caribbean, and Black (ACB) people, are disproportionately affected by HIV and COVID-19. Experiencing multiple forms of discrimination in healthcare settings compromises care engagement and health outcomes. The objective of this study was to assess the various forms of discrimination experienced by ACB people during the COVID-19 pandemic, changes in the levels of discrimination experienced before and during the pandemic and the demographic factors associated with increased experience of discrimination among ACB people when accessing healthcare services during the pandemic. Methods: Data were collected via an online survey co-led by the Public Health Agency of Canada, University of Ottawa, ACB community leaders and researchers across Canada. Participants were recruited via email contact. Eligibility criteria included living in Canada at the time of the survey, aged 18 years or older, ability to read English or French, and self-identifying as African, Caribbean or Black. The survey queried access to health services, and experiences of multiple forms of discrimination when accessing healthcare services before and during the COVID-19 pandemic. Multivariable logistic regression was used to identify factors associated with discrimination. Results: Of 1,556 participants, 39.6% were aged 25-39, 42.7% were resident in Ontario, and 63.2% were of African origin. Prior to the COVID-19 pandemic, 75% experienced at least one form of discrimination in a healthcare setting. During the COVID-19 pandemic, over 66% experienced at least a form of discrimination, with 25% reporting a perceived increase in the frequency with which they experienced discrimination. The perceived increase in the frequency of discrimination was 10.8%, 15.3%, 15.9%, 17.0%, 18.1%, 18.7%, and 31.2% among participants who experienced sexual orientation, gender, substance use, disability, age-based, economic status, and race-based discrimination, respectively. In the multivariate logistic regression, the odds of experiencing discrimination in participants aged 50 and above was 0.38 times (95%CI:0.21, 0.69) that in participants who were 31-40 years of age. Conclusion: The proportion of participants with perceived increased experience of discrimination when accessing healthcare services during the COVID-19 pandemic was high. Although there is variation in levels of experienced discrimination, the different forms of discrimination participants experienced (race, gender, sexual orientation, substance use, economic status, disability and age-based discrimination) are alarming. This underscores the need for concerted efforts to address multiple forms of discrimination in healthcare settings to improve care engagement and health equity among ACB communities. There was a significant association between perceived increased experience of discrimination and only one sociodemographic factor - older age (50 and above), other factors that could possibly contribute to participants perceived increased experience of discrimination when accessing healthcare services needs to be explored.

Abstract: We introduce a theory in which gravity emerges as a thermodynamic phenomenon governed by a scalar field that sets the local rate of quantum evolution. Building on Jacobson’s thermodynamic derivation of Einstein’s equations and Verlinde’s entropic gravity, this framework extends these ideas into a unified theory of spacetime thermodynamics. In the strong-field limit it reproduces General Relativity, while in weak-field and low-density environments it predicts modified gravitational dynamics that account for galaxy rotation curves and galaxy cluster mass discrepancies without invoking particle dark matter. On cosmological scales, the theory predicts an early epoch of emergent inflation without an inflaton field and a late-time evolving accelerating expansion driven by the gradual depletion of vacuum thermodynamic capacity, implying cyclic cosmic evolution. From first principles, the framework yields parameter-free predictions for the Hubble constant and the present matter density consistent with observations. We confront the theory with Pantheon+, Cosmic Chronometers, DESI DR2 BAO, and the CMB angular scale \( \theta_\ast \), and find that it provides a statistically preferred description of the data relative to ΛCDM, with ΔBIC = -18.5, and suggests a resolution to the Hubble Tension as an artifact of thermodynamic evolution. These results indicate that a thermodynamic origin of gravity and spacetime offers a coherent explanation of gravitational and cosmological phenomena.

Abstract: Rationale: Reproductive tract infections (RTIs), including pelvic inflammatory disease (PID), are significant public health concerns among young women, especially in sub-Saharan Africa. The university environment, characterized by communal living and varying access to personal healthcare, provides a unique setting to investigate these infections. Understanding the prevalence, microbial patterns, and antimicrobial resistance in university settings is critical to developing effective health interventions. Objectives: This study aimed to assess the prevalence of RTIs, identify the microbial pathogens responsible for pelvic inflammatory disease, and determine their antimicrobial susceptibility patterns among female students residing in hostels at Niger Delta University, Bayelsa State, Nigeria. The study also sought to explore the age distribution of affected individuals and the microbial burden in the university hostel environment. Methods: A descriptive cross-sectional study was conducted at Niger Delta University in Amassoma, Nigeria. Fifty female students within the reproductive age group residing in the university’s hostels participated. Data were collected using high vaginal swabs and midstream urine samples, which were cultured for microbial growth. Antimicrobial susceptibility testing was performed using the Kirby–Bauer disk diffusion method. Descriptive statistical analysis was employed to present the findings. Results: The study found that 52% of participants were in the 18–21 age group, while 48% were in the 22–25 age group. Candida species were the most commonly isolated pathogens (70%), followed by Escherichia coli (30%). The growth rates on Sabouraud dextrose agar revealed a predominance of fungal infections. Antimicrobial susceptibility testing showed varying levels of resistance, with Ciprofloxacin and Levofloxacin exhibiting the highest susceptibility, while higher resistance rates were observed for commonly used antibiotics such as Amoxicillin and Augmentin. Conclusion: The findings suggest that fungal infections, particularly those caused by Candida species, are a significant concern among young female university students. The presence of antimicrobial resistance highlights the need for alternative treatment strategies and enhanced infection control measures. Recommendations: Implement hygiene education and improved sanitation in hostel facilities, introduce routine screening for RTIs and provide access to effective antimicrobial treatments and integrate reproductive health education and regular medical check-ups into the university’s healthcare services. Health Significance: This study underscores the importance of addressing RTIs among young women in university settings to prevent long-term reproductive health issues. The findings contribute to the understanding of microbial resistance patterns, which is essential for the development of effective public health policies and interventions targeting PID and associated complications such as infertility.

Abstract: Spatially explicit knowledge of soil nutrient heterogeneity in arid irrigated agroecosystems remains limited, constraining precision fertilization. In Wuwei City (Hexi Corridor, northwestern China), nutrient management has largely relied on coarse regional averages, while validated geostatistical characterization of cultivated soils is lacking. This study aimed to quantify the variability, interrelationships, and spatial dependence of four key plough-layer nutrients, soil organic matter (SOM), total nitrogen (TN), available phosphorus (AP), and available potassium (AK), across 638 cultivated-land sites sampled in 2022. Descriptive statistics, Pearson correlation, semivariogram modelling, and ordinary kriging with independent validation were conducted to characterize nutrient structure and predictive performance. All nutrients exhibited substantial variability (CV 44.8-97.1%), with AK showing the highest dispersion and weakest spatial continuity. SOM and TN were strongly correlated (r = 0.954), indicating near-collinearity and shared regulation of organic matter. Nugget-to-sill ratios (0.559-0.734) indicated predominantly moderate spatial dependence, while AP exhibited a correlation range of approximately 90 km, reflecting regional-scale gradients superimposed on local management effects. These results demonstrate nutrient-specific spatial structures within the same agroecosystem and underscore the limitations of uniform fertilization practices. Spatially differentiated nutrient management, particularly for K, is recommended, and integration of environmental covariates is needed to enhance predictive precision.

Abstract: Sustainable housing finance has emerged as a critical tool for achieving inclusive, resilient, and environmentally responsible urbanization in developing economies, yet access to affordable, climate-resilient housing remains limited. Rapid urbanization, weak institutional frameworks, high borrowing costs, and underdeveloped mortgage markets exacerbate housing deficits, particularly for low-income populations. Recent developments in financial deepening, including the expansion of banking services, fintech innovations, and microfinance programs, provide new opportunities to address these challenges, but integration with sustainability objectives remains uneven. This review synthesizes existing literature and practical experiences to examine innovative mechanisms that can enhance sustainable housing finance, including green mortgages, ESG-linked lending, climate risk-adjusted finance, blended financial instruments, and digital financial technologies. The analysis identifies persistent gaps in the alignment of affordability, environmental sustainability, and financial viability, highlighting the need for context-specific solutions that mobilize both domestic and international capital. Policy frameworks that incentivize sustainable practices, capacity building for financial institutions and developers, and the adoption of data-driven and technology-enabled solutions are emphasized as essential for scaling impact. The review argues that sustainable housing finance should be understood as a strategic nexus of finance, social equity, and environmental resilience capable of accelerating progress toward SDG 11 while stimulating local economic growth.

Abstract: Staten Island is less developed than the other boroughs of New York city, however outcrops of rock and surface sediment are limited, making interpretation of its geologic history challenging. When small areas of sediment are exposed, they can be used to improve our understanding of changes in sediment erosion and deposition over time. In this study of two small temporary outcrops, the beds of sediment were logged in the field and samples were collected for textural and compositional analyses. The results were interpreted in the context of previous work on similar exposures nearby. The sediments were found to be sands and gravels of fluvioglacial origin, containing reworked sediments of both the Pliocene Pensauken Formation, and older Triassic rocks of the Newark Basin. It is likely that they were deposited on an outwash plain during the Illinoian glaciation. They were deposited in a topographic low, directly overlying Cretaceous sedimentary rocks, but adjacent to sediments of the Pensauken Formation which had in turn been deposited as an earlier valley fill. This interpretation solves an apparent disagreement between previous studies, by illustrating how both the Pensauken Formation and later fluvioglacial sediments can be exposed over a small area.

Abstract: Environmental contaminants pose threats to various organisms and negatively impact the nervous, cardiovascular, immune, and reproductive systems. Per- and polyfluoroalkyl substances (PFAS) are synthetic chemicals that are ubiquitous in the environment. Given that mixtures of environmental contaminants have the potential to exacerbate toxicity, we reviewed current literature on pesticides, microplastics, or metal exposure in combination with PFAS on vertebrates and invertebrates. The objectives were to evaluate the toxicological effects of mixtures of different pollutants (microplastics, pesticides and metal ions) with PFAS on aquatic organisms to better understand biological responses in animals. Based on our review, an increase in toxicity is observed in mixtures of pollutants, including enhanced oxidative stress, developmental abnormalities, impaired reproduction, metabolic disruption, altered gene expression, and changes in enzymatic activity; however, some antagonistic interactions were also reported, underscoring the complexity of mixture effects in real environments. A computational assessment demonstrates that PFOS can engage in intermolecular interactions with pesticides, microplastic monomers, and metals, suggesting chemical-level mechanisms that could modify toxicity or bioavailability. Future studies should focus on elucidating the mechanisms underlying these complex interactions, investigating effects at different trophic levels and in a broader range of species, including mammalian models, and considering chronic exposures and environmentally relevant mixtures.

Abstract: Background/Objectives: Fully robotic pancreatic resections using the Hugo™ RAS platform haven’t yet been described in the literature. Methods: A 72-year-old male with a cystic lesion in the pancreatic tail underwent a fully robotic distal pancreatectomy and splenectomy using the Hugo RAS and the newly introduced robotic vessel sealer LigaSure RAS. The proposed configurational setup and technical details are described. Results: The procedure was completed safely without complications, blood loss was &lt;50 ml, total duration of surgery was 305 minutes, console time 195 minutes. The postoperative period was uneventful, and the patient discharged on postoperative day 7. Conclusions: Distal pancreatectomy with the Hugo RAS may be feasible and safe in selected cases.