Search Results (211)

Bacteria associated with unhatched sea turtle eggs remain poorly characterized at the genomic level. This study provides genome-scale characterization of bacterial isolates recovered from unhatched green sea turtle (Chelonia mydas) eggs at Akyatan Beach—a critical nesting site in the Eastern Mediterranean. Sampling 30 nests during the nesting season, we isolated bacteria from infected eggshells and dead embryos. Following Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry(MALDI-TOF MS) identification and 16S rRNA validation, we performed whole-genome sequencing (WGS) on Citrobacter farmeri and Enterobacter cloacae, two opportunistic pathogens of significant clinical and ecological concern. High-quality draft genomes revealed remarkable metabolic versatility, particularly within carbon and nitrogen pathways. Most notably, we identified extensive resistomes including resistance to $\beta$-lactams, fluoroquinolones, and aminoglycosides, alongside virulence factors for adhesion and iron acquisition. ANI analysis confirmed high genomic similarity to clinical reference strains, comparative genomic analysis revealed a substantial accessory gene pool, suggesting potential genomic flexibility between the two isolates. These findings provide the first genome-scale insight into these pathogens in C. mydas nests, and highlighting their genomic potential for opportunistic pathogenicity. Our results advocate for integrating genomic microbial surveillance into nesting beach management through a ‘One Health’ lens. Full article

With the rapid depletion of terrestrial mineral resources, the global demand for deep-sea mineral resource exploitation has become increasingly urgent. The hydraulic lifting system centered on deep-sea mining pumps is internationally recognized as the most commercially viable deep-sea mining system. In this paper, a deep-sea mining pump is taken as the research object, and the flow and wear characteristics of solid–liquid multiphase transport within the pump are investigated. Results show that as particle concentration increases, the non-uniformity of pressure and velocity distributions in the impeller flow channel also increases, indicating that particle-induced disturbances significantly compromise flow field uniformity. As the particle diameter increases, the wear dead angle area continues to expand, and the wear patterns and extents on each surface of the impeller and guide vane differ significantly. The particle collision frequency, particle kinetic energy, flow field structure, and shielding effects collectively influence the variation in wear amount. Full article

Glyphosate is one of the most widely used herbicides worldwide and has been increasingly reported in aquatic environments, including riverine, estuarine, and coastal systems. However, information on its intestinal effects in benthic marine invertebrates remains limited. In this study, we investigated dose-dependent intestinal responses of the sea cucumber Apostichopus japonicus following acute waterborne glyphosate exposure using integrated transcriptomic and metabolomic analyses. Sea cucumbers were exposed for 24 h to four nominal glyphosate concentrations: 0, 9.23, 46.15, and 230.77 mg/L. Mortality occurred only in the highest-concentration group, allowing phenotypic stratification of this group into high-dose survivors (HL) and high-dose dead individuals (HD) for downstream multi-omics comparisons. Principal component analysis and orthogonal partial least-squares discriminant analysis indicated clear exposure- and phenotype-associated shifts in intestinal molecular profiles. Differential expression analysis and pathway enrichment showed that low-dose exposure was mainly associated with metabolic and digestion-related adjustments, whereas higher exposure levels were characterized by broader perturbation of immune regulation, stress-response signaling, proteostasis-related processes, and cell fate-associated pathways. Metabolomic profiling further revealed progressive remodeling of lipid, amino acid, energy, redox, and transport-related pathways, with the most extensive alterations observed in HD. Integrated transcriptome–metabolome analysis supported increasingly structured cross-omics covariation with rising exposure severity, highlighting coordinated intestinal system disruption under high-dose glyphosate stress. Overall, these findings demonstrate that acute waterborne glyphosate exposure induces dose-dependent intestinal molecular reprogramming in A. japonicus, with marked divergence between surviving and dead individuals at the highest exposure level. This study provides mechanistic evidence for early intestinal responses to glyphosate in a representative marine deposit-feeding invertebrate and offers a basis for future studies linking controlled exposure experiments with environmentally relevant marine risk scenarios. Full article

Deep-sea mining operations demand continuous, drift-free positioning over multi-day missions—a requirement that traditional acoustic dead-reckoning systems struggle to meet due to cumulative error accumulation and frequent DVL bottom-lock loss in sediment plume environments. Inspired by Google Cartographer’s 2D grid mapping paradigm, we present a prior map-based visual localization framework that decouples offline mapping from real-time localization, fundamentally eliminating drift through absolute image registration against pre-built seabed mosaics. By integrating adaptive keyframe selection, Multi-Scale Retinex (MSR) enhancement, and the AD-LG deep feature matching architecture, our system constructs globally consistent seabed maps for absolute positioning. The framework leverages deformable convolutions and LightGlue to effectively mitigate challenges such as low texture and non-rigid distortion. Quantitative validation on tank simulation datasets demonstrates significant superiority over IMU-only and standard fusion schemes; qualitative deployment on real Pacific CCZ imagery confirms near-real-time operational feasibility on an embedded Jetson Orin NX platform. This system establishes visual navigation as a viable backup to acoustic systems, addressing a critical gap in deep-sea mining vehicle autonomy. Full article

Glyphosate is a widely used herbicide with increasing concern regarding its non-target impacts in coastal ecosystems and mariculture species. Here, we profiled acute physiological stress signatures of waterborne glyphosate exposure in the sea cucumber Apostichopus japonicus, integrating measured exposure concentrations, tissue residues, digestive and oxidative/innate immune biomarkers, and gut microbiota. After 24 h exposure, measured waterborne glyphosate confirmed the intended gradient (0.09 ± 0.02, 1.26 ± 0.09, and 4.49 ± 1.12 mg/L for low-, medium-, and high-dose treatments, respectively), and overt stress phenotypes with mortality occurred only at the high dose (36.67%), enabling separation of high-dose survivors (HS) and high-dose dead (HD) for downstream analyses. Tissue measurements showed low/background levels in controls, with compartment-specific distribution: the respiratory tree exhibited higher burdens at the medium dose, whereas coelomic fluid showed the highest burdens in HS at the 24 h endpoint. Functionally, most intestinal digestive enzymes were unchanged, but trypsin activity was consistently suppressed across exposed groups (p < 0.05). In coelomic fluid, oxidative stress responses were evident, with elevated MDA (L and M), reduced CAT (L, M, and HS), and reduced GSH-PX in HS (all p < 0.05), while SOD, GR, and lysozyme showed no significant changes. Gene sequencing of 16S rRNA (n = 3 per group) revealed significant shifts in community diversity/evenness (Shannon p = 0.0497; Simpson p = 0.0484) and beta diversity (PCo1 = 30.08%, PCo2 = 26.30%; PERMANOVA F = 1.816, p = 0.008), with LEfSe indicating discriminative taxa associated with exposure/outcomes. Collectively, these multi-level endpoints define an acute glyphosate stress signature in A. japonicus, linking internal dose distribution to oxidative disruption, impaired intestinal proteolysis, and microbiome restructuring. Full article

The Jordan Valley is a heavily modified, data-limited transboundary river basin where water availability is constrained by both climate conditions and intensive human intervention. This study applies an integrated hydrological and hydrogeochemical modeling framework using the Soil and Water Assessment Tool (SWAT) to quantify basin-scale water availability and quality and to assess climate change impacts for the period 2000–2021. Results indicate that the basin is strongly evapotranspiration-dominated, with mean annual precipitation of 298.9 mm and precipitation-derived evapotranspiration accounting for 66.3% of rainfall. When externally supplied irrigation water is included, total evapotranspiration increases markedly, highlighting the strong dependence of agriculture on imported surface water and groundwater abstractions. Only a small fraction of total water input contributes to river discharge toward the Dead Sea, indicating a very limited internal water surplus. Hydrological dynamics are largely controlled by upstream dams and transboundary diversions, while nitrate and sediment simulations demonstrate a close coupling between hydrology, land use, and water quality. Climate projections suggest further reductions in water availability during the 21st century, exacerbating existing water scarcity. Overall, the study illustrates how intensive regulation and irrigation dependency constrain water availability in the Jordan Valley and in similar heavily modified transboundary river basins. Full article

The zoonotic Orthoflavivirus Usutu virus (USUV) is distributed throughout Germany, putting hosts at a considerable risk of infection nationwide. Besides birds as reservoir hosts, a broad range of accidental hosts is suspected. However, there are few reports documenting the progression of USUV-associated disease. This case report describes the course of fatal USUV infections in three harbor seals (Phoca vitulina) from a rescue center on the North Sea coast in Germany. Corresponding samples were analyzed using (histo-)pathological, immunohistochemical, molecular and phylogenetic methods. The most prevalent findings in clinically affected animals were neurological signs and non-suppurative encephalitis. All animals were found dead or had been euthanized due to animal welfare reasons within 30 h after the onset of clinical signs. Blood samples taken from another 37 young harbor seals from the same rescue center in the same year revealed two further asymptomatic USUV RNA and antibody-positive animals. The sequences were found to belong to USUV lineages Europe 2 and Africa 3, which are known to circulate in birds in Germany. This case report highlights the importance of USUV as a potential diagnosis for neurological impairments in marine mammals and documents the first cases of USUV infection in harbor seals. Full article

Thermal energy storage (TES) plays a crucial role in improving the efficiency and reliability of solar thermal systems, particularly when low-cost and readily available materials are desired. This study experimentally investigates the performance of a water–salt thermal energy storage system using sodium chloride (NaCl) at different concentrations in a simple solar collector setup. Experiments were conducted using a laboratory-scale solar thermal energy system under controlled conditions, with water serving as the heat transfer fluid and a fixed flow rate of 15 L/h. The storage medium consisted of water mixed with salt, which was obtained from the Dead Sea before any treatment. In its raw form, this type of salt contains impurities, mainly sand, at a fixed concentration of approximately 1% by weight. The effects of salt concentration on storage temperature, system efficiency, and effective heat capacity were analyzed. The results show that moderate NaCl concentrations improved the average storage temperature by up to 12–18%, increased thermal storage efficiency by approximately 1%, and enhanced the effective specific heat capacity compared to pure water. In contrast, higher salt concentrations resulted in a performance reduction of up to 8–12% due to increased thermal resistance and reduced heat transfer effectiveness. An optimal salt concentration range was identified at which maximum storage efficiency and heat capacity were achieved. These findings demonstrate that common sodium chloride can serve as an effective and economical enhancement material for thermal energy storage when properly optimized. The study provides quantitative evidence and practical insights for the development of low-cost, salt-based thermal energy storage systems for solar thermal applications. This study highlights the importance of concentration optimization and provides practical insights for the development of low-cost, salt-based thermal storage systems for solar energy applications. Full article

Cleaning, the removal of parasites and dead tissue from clients, is common in the Sea. Reef-based cleaning stations are visited by many fish clients, some by both resident and visitor pelagic species, while others are visited solely by resident species. Nonetheless, no distinction has ever been made between the potentially different cleaning stations. Here we describe two distinct categories of cleaning stations: pelagic cleaning stations (PCS) and residential cleaning stations (RCS). We suggest that the two station types differ not only in their clientele but also in the characteristics of their cleaning services. We examined the behaviour of the cleaner wrasse, Labroides dimidiatus, at six cleaning stations on isolated knolls in Palawan, the Philippines—three stations that are routinely visited by pelagic manta rays (i.e., PCS), and three stations that service only resident clients (i.e., RCS). Our results indicate that PCS have more cleaners per station and that cleaners forage at greater distances from the station’s focal point. These distinct patterns suggest functional differences between pelagic and residential cleaning stations. Our findings may aid in the identification and conservation of shark and manta cleaning stations. Full article

The Jordanian portion of the Jordan Valley serves as a critical geostrategic and agricultural corridor, yet it faces an existential threat from absolute water scarcity, climate change, and regional demographic pressures. This study provides an exhaustive qualitative analysis of water governance in the valley, drawing on national strategies, institutional archives, and longitudinal data from 2000 to 2025. The research evaluates the transition of the Jordan Valley Authority (JVA) from a centralized development agency toward a mature, tri-tier decentralization framework involving Water User Associations (WUAs). Despite these reforms, systemic challenges such as elite capture, non-revenue water (NRW) losses in the King Abdullah Canal (KAC), and the subsidies continue to hinder efficiency. The study applies the Water–Energy–Food–Ecosystem (WEFE) nexus framework to examine the interdependencies between energy-intensive pumping, the reuse of Treated Wastewater (TWW) for 98% in certain sectors, and the preservation of the Dead Sea ecosystem. Findings indicate that while land-use policies have preserved 371,000 dunums of agricultural land, approximately 71,000 dunums remain uncultivated due to water shortages. The manuscript identifies the Amman-Aqaba Water Conveyance Project (AAWA) and the 2030 Digital IT Roadmap as essential catalysts for long-term resilience. The paper concludes with adaptive governance recommendations aimed at reconciling national strategic priorities with localized operational efficiency. Full article

For marine development in harsh sea states, floating-body salvage equipment serves as critical support infrastructure. Aiming at the challenges of nonlinear dead-zone, model uncertainty, and actuator failures in the wave compensation systems of such equipment, this paper proposes an intelligent fault-tolerant control method based on neural networks. First, the dead-zone nonlinearity of the hydraulic system is compensated using an inverse model approach. Then, neural networks are employed to online learn unmodeled dynamics, while adaptive laws are designed to handle partial actuator failures and Lyapunov theory is used to prove the global stability of the closed-loop system, effectively enhancing the robustness and fault-tolerance of the wave compensation system under complex sea conditions. Unlike existing studies that rely on accurate system models, the proposed method integrates data-driven learning with model-based compensation. This integration enables adaptive handling of wave disturbances, model uncertainties, and actuator faults, thereby overcoming the strong model dependence and complex observer design inherent in traditional sliding-mode fault-tolerant control. Simulation and experiment results show that the method ensures high-precision dynamic tracking and compensation performance under various sea conditions. Full article

The Dead Sea (DS) region has experienced a sharp increase in sinkhole formation in recent years, posing environmental and infrastructure risks. The Geological Survey of Israel (GSI) employs Interferometric Synthetic Aperture Radar (InSAR) to monitor sinkhole activity and manually map land subsidence along the western shore of the DS. This process is both time-consuming and prone to human error. Automating detection with Deep Learning (DL) offers a transformative opportunity to enhance monitoring precision, scalability, and real-time decision-making. DL segmentation architectures such as UNet, Attention UNet, SAM, TransUNet, and SegFormer have shown effectiveness in learning geospatial deformation patterns in InSAR and related remote sensing data. This study provides a first comprehensive evaluation of a DL segmentation model applied to InSAR data for detecting land subsidence areas that occur as part of the sinkhole-formation process along the western shores of the DS. Unlike image-based tasks, our new model learns interferometric phase patterns that capture subtle ground deformations rather than direct visual features. As the ground truth in the supervised learning process, we use subsidence areas delineated on the phase maps by the GSI team over the years as part of the operational subsidence surveillance and monitoring activities. This unique data poses challenges for annotation, learning, and interpretability, making the dataset both non-trivial and valuable for advancing research in applied remote sensing and its application in the DS. We train the model across three partition schemes, each representing a different type and level of generalization, and introduce object-level metrics to assess its detection ability. Our results show that the model effectively identifies and generalizes subsidence areas in InSAR data across different setups and temporal conditions and shows promising potential for geographical generalization in previously unseen areas. Finally, large-scale subsidence trends are inferred by reconstructing smaller-scale patches and evaluated for different confidence thresholds. Full article

This paper approaches the corpus of the Dead Sea Scrolls with the aim of underlining how a form of prophecy after (or besides) prophets is constructed in Second Temple Judaism. In contrast and parallel with other religions (saliently Islam), where prophecy is “sealed” and closed after a given event, Judaism links prophecy to text in the process of constructing an authorized corpus, as may be seen in phenomena such as the development of certain forms of exegesis. Nevertheless, some groups, like the Qumran community, give a central role to figures that are, at the very least, typologically related to early (biblical) prophets. I will approach these parallels in a systematic way, trying to define how text and inspiration are involved in the construction of prophets by another name in the corpus. Full article

Background: Therapeutic applications of saline solutions in oral healthcare range from mineral waters to standardized sodium chloride preparations. Despite widespread traditional use, their scientific foundation remains inadequately characterized. This scoping review aimed to systematically map the available evidence for salt-based oral health interventions, characterize study populations and outcomes, and identify research gaps to guide future investigations. Methods: Following JBI methodology and PRISMA-ScR guidelines, four electronic databases (PubMed, Scopus, Web of Science, and Cochrane Library) were systematically searched for publications from 2000 to 2025. Studies were classified along a spectrum from geological mineral waters to artificial preparations. Narrative synthesis was employed with systematic gap identification. Results: Seventeen studies met inclusion criteria, with a median sample size of 41 participants and a median follow-up of 4 weeks. Evidence distribution revealed concentration on hypersaline Dead Sea derivatives (n = 7, 41%) and European thermal waters (n = 5, 29%), with limited representation of marine-derived (n = 1, 6%) and simple saline solutions (n = 3, 18%). Reported outcomes included periodontal parameters, xerostomia symptoms, viral load, mucositis severity, and dentin hypersensitivity, with variable methodological quality across studies. Heterogeneity in interventions, comparators, and outcome measures precluded direct comparisons. Conclusions: The current evidence base for salt-based oral interventions remains limited and methodologically heterogeneous. While preliminary findings suggest potential applications across multiple clinical domains, small sample sizes, short follow-up periods, and inconsistent outcome measures preclude definitive recommendations. Standardized protocols and adequately powered trials are needed before evidence-based clinical integration. Full article