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Mangrove forests along China’s coastline serve as vital ecological barriers and blue carbon reservoirs. However, pests and diseases have become the primary biotic threats driving stand decline and diminished carbon sequestration capacity. This review synthesizes current knowledge on the major insect pests and plant diseases affecting Chinese coastal mangroves, focusing on their species profiles, characteristic damage symptoms, occurrence dynamics, and integrated control strategies. Fungal pathogens predominate among the diseases, with outbreaks most common during periods of high temperatures and humidity or low temperatures combined with high humidity; these often interact synergistically with insect pests. The dominant insect pests comprise leaf-feeding Lepidoptera, sap-sucking Hemiptera, and wood-boring Coleoptera, which spread through diverse pathways and can rapidly produce extensive “scorched” damage across mangrove stands during epidemic events. Control efforts follow the principle of “prevention first and integrated management,” incorporating cultural practices, chemical interventions, biological control agents, physical trapping methods, and rigorous quarantine-monitoring protocols. When applied in concert, these measures effectively limit damage to acceptably low levels. Recent studies identify pest–disease interactions and climate change as the foremost challenges in current management. Future priorities should include advancing molecular identification techniques, breeding disease-resistant varieties, and developing environmentally friendly biopesticides to establish precision ecological control systems. Such advances will deliver robust scientific support for mangrove conservation and the achievement of China’s dual-carbon goals. Full article

Coral-associated microbial communities play a critical role in the health and resilience of reef ecosystems; however, the relative importance of host identity and environmental factors in shaping these communities remains unclear, particularly in understudied regions such as the Gulf of California. In this study, we characterized the taxonomic composition, diversity patterns, persistent taxa (core bacteriome), and predicted functional potential of bacterial communities associated with three coral genera (Pocillopora, Porites, and Pavona) and surrounding seawater using 16S rRNA gene amplicon sequencing and PICRUSt2-based functional inference. Bacterial community structure differed significantly among coral hosts (PERMANOVA, p < 0.01), whereas geographic location and measured physicochemical parameters had no detectable effect. Coral-associated bacterial communities exhibited lower alpha diversity than seawater and formed distinct host-specific clusters in beta-diversity analyses. Core bacteriome analysis revealed a combination of conserved and host-specific taxa, with Acinetobacter consistently present across hosts, while genera such as Pseudovibrio and Ruegeria showed host-specific associations. Differential abundance analyses further confirmed distinct bacterial signatures among coral genera. Predicted functional profiles were dominated by central metabolic pathways and exhibited significant differences among hosts, although overall functional composition remained relatively conserved. Stratified analyses indicated that similar metabolic pathways were supported by different taxonomic assemblages, suggesting functional redundancy. Overall, our results demonstrate that host identity is the primary driver of both taxonomic composition and predicted functional potential in coral-associated bacterial communities in the Gulf of California, highlighting the coexistence of stability and host-specific differentiation within the coral holobiont. Full article

The increasing availability of digital documentation in cultural heritage has amplified the need for interoperable systems capable of integrating heterogeneous data and supporting risk-informed conservation strategies. In the field of Disaster Risk Management (DRM), the application of structured methodologies—such as the ICCROM-CCI ABC Method—is often hindered by fragmented data sources, inconsistent terminology, and limited interoperability across institutions. This study presents a semantic workflow for the harmonization, enrichment, and integration of cultural heritage risk assessment data within a CIDOC Conceptual Reference Model (CIDOC-CRM)-compliant environment. The proposed system is structured as an Extract–Transform–Load (ETL) pipeline that converts heterogeneous assessment records into interoperable semantic knowledge graphs. The workflow combines controlled vocabularies, project-specific thesauri for risk agents and heritage typologies, and formal ontology mapping implemented through the Mapping Memory Manager (3M) and executed with the X3ML engine. The resulting data are deployed within a ResearchSpace environment, enabling semantic querying, cross-dataset exploration, and integration with external knowledge infrastructures. The workflow was applied to a dataset comprising 295 cultural heritage sites in the municipality of Ravenna (Italy). The transformation process generated a CIDOC-CRM-compliant knowledge graph containing 134,611 RDF triples and 18,954 entities, integrating information on cultural assets, risk scenarios, actors, documentary resources, and quantitative risk assessments. Through the adoption of persistent identifiers and semantic mappings, the workflow also supports interoperability with external cultural heritage resources, including ArCo and GeoNames, facilitating the contextualization and enrichment of local risk assessment data. By transforming fragmented assessment records into structured and interoperable knowledge, the proposed workflow contributes to bridging semantic and information gaps in cultural heritage risk management. The study demonstrates the feasibility of integrating risk assessment data within an ontology-based semantic infrastructure and highlights its potential to support data integration, semantic interoperability, knowledge reuse, and future decision-support applications for preventive conservation and territorial risk management. Full article

The scarcity of resources has constrained the supply of conventional feedstuffs for livestock production. Consequently, mulberry (Morus spp.), known for its high protein content and bioactive compounds, has been developed as a promising alternative feed. However, the optimal water–fertilizer ratio for cultivating feed mulberry and the underlying physiological and agronomic mechanisms remain poorly understood. To address this, a two-year field experiment (2023–2024) was conducted to investigate the effects of water–fertilizer coupling on feed mulberry yield, water use efficiency (WUE), and soil quality. This experiment employed a split-plot design with three irrigation levels (I1 = 45, I2 = 90, and I3 = 135 mm) and four fertilizer rates (F1 = 0, F2 = 150, F3 = 225, and F4 = 300 kg·ha⁻¹). The results demonstrated the following: (1) The variation trends in SWC were consistent with those of soil available N, P, and K contents. Under water–fertilizer coupling, the total water consumption peaked in the I3F3 treatment, with values of 639.9 mm and 703.5 mm in the two years, respectively. (2) The I3F3 treatment produced both the highest yield (37.19 and 41.66 t·ha⁻¹) and the highest leaf N, P, and K contents among all treatments. (3) Water and fertilizer use efficiencies exhibited parabolic trends in response to increasing irrigation and fertilizer inputs. The highest agronomic nitrogen efficiency (AEN) was observed in I2F2. (4) The AMOS 26 model further revealed that soil nutrient content had the strongest direct positive effect on yield (standardized coefficient = 0.68), followed by total water consumption (0.33). And irrigation significantly enhanced soil nutrient availability (standardized coefficient = 0.29). In summary, the I3F3 combination achieved the highest yield and water use efficiency, whereas the I2F2 treatment exhibited the highest AEN. This trade-off suggests that the optimal strategy depends on management objectives (yield maximization vs. resource conservation) in the North China Plain. Full article

Quantifying landscape ecological risk (LER) using multi-period land use data and ecological indicators is essential for understanding regional ecological dynamics. However, LER assessment is sensitive to spatial delineation, introducing uncertainty. This study developed an integrated LER model that incorporates the remote sensing ecological index and abundance index, and evaluated spatial unit effects through comparative analyses of fishnet, hexagonal, sub-watershed, and county units. LER dynamics in the Shandong Peninsula Urban Agglomeration (SPUA) from 2004 to 2024 were analyzed, and a boosted regression trees model was applied to quantify the relative importance of influencing factors and their nonlinear effects. The results indicate that: (1) sub-watershed units showed greater robustness and stability across multiple evaluation indicators, supporting their suitability for LER assessment; (2) LER in the SPUA exhibited a fluctuating but overall slightly increasing trend over the past two decades, with a persistent west-low and east-high spatial pattern; and (3) relief degree (29.13%) and nighttime light (17.78%) were the dominant factors shaping LER, showing an inverted U-shaped response and a saturating nonlinear increase, respectively. This study supports the use of sub-watershed units as an appropriate spatial unit for LER assessment and provides insights into terrain-sensitive conservation and sustainable land-use management in urbanizing regions. Full article

Radiation monitoring at contaminated industrial sites is often restricted by safety, access, and operational constraints. Under such conditions, a modelling approach that can use a limited number of field measurements is useful for preliminary screening, route planning, and prioritization of verification surveys. This study presents a sparse spatiotemporal polynomial interpolation model for estimating the gamma radiation equivalent dose rate (EDR) along the perimeter of the Base-S radiation-hazardous industrial site. The model represents EDR as a function of spatial coordinates and time, and uses a reduced measurement structure consisting of four seasonal temporal nodes and five representative spatial nodes. The reduced structure is intended to support conservative preliminary assessment under the ALARA principle, not to replace field measurements. A 2021 case study is presented for 61 numbered perimeter points. The article presents one of the universal mathematical models developed by the authors to determine the impact of gamma radiation on the personnel of tailings facilities and industrial sites through the calculation of the equivalent dose rate during personnel residence stays, depending on time. The proposed polynomial interpolation model for rapid radiation dose assessment at radiation-hazardous industrial sites estimates equivalent dose-rate values for a specific planning case. The model represents the EDR field as a spatiotemporal polynomial f(x, y, t), where x and y are planar coordinates, and t is the day of the year. A conservative reduced scheme uses four seasonal maximum values and five representative spatial points to decrease the number of required field measurements and personnel residence time. For the 2021 case study, the model-estimated EDR at 61 numbered perimeter points ranged from 0.118 to 0.415 µSv/hour, with a mean of 0.242 µSv/hour. This model provides initial data for building a 2D model and, if necessary, a 3D model of radiation contamination within the research-object territory. The resulting 2D and 3D maps are interpreted as model-estimated visualization products. The proposed method, the model form of which is described as a cubic polynomial in t and a quadratic in x,y, allows for effective interpolation of complex multidimensional dependencies of observed data. Full article

Vibrio vulnificus (V. vulnificus) is a type of bacterium commonly found in estuarine environments. It can cause necrotizing wound infections and sepsis, both of which are associated with high mortality rates. Protein lysine acetylation is a widespread post-translational modification (PTM) of proteins, and it participates in numerous cellular processes, including regulation, in bacteria. However, the finer landscape of lysine acetylation in V. vulnificus remains unexplored. In this study, acetylated proteins with low cellular abundance were enriched from V. vulnificus MO6-24/O using anti-acetyl-lysine immunoprecipitation and identified using LC-MS/MS, and the acetylation was further confirmed by Western blot analysis. We mapped 2035 lysine acetylation sites to 841 proteins, accounting for approximately 18.5% of the entire protein sequence of V. vulnificus MO6-24/O. Comprehensive bioinformatic characterization of the acetylome indicated that lysine acetylation is associated with metabolic regulation, particularly targeting enzymes regulating carbon metabolic functions and biosynthesis. In addition, sequence motif analysis identified two conserved patterns surrounding acetylated lysines: enrichment of lysine or arginine residues at the +4/+5 positions, and a preference for tyrosine, histidine, or phenylalanine residues at the −1/+1 positions. Furthermore, analysis of the protein–protein interaction network indicated that lysine acetylation influences numerous molecular interactions among proteins. Collectively, this acetylome investigation establishes a foundation for future studies aimed at elucidating physiological functions of protein lysine acetylation in V. vulnificus. Full article

Background/Objectives: Digital intraoral photography is widely used for clinical documentation, longitudinal monitoring, and AI-assisted dental image analysis. However, specular highlights caused by saliva and intense illumination can obscure tooth texture and compromise image fidelity. This study aimed to develop an automated method for removing specular highlights from intraoral images while preserving tooth surface texture. Methods: A three-stage pipeline consisting of adaptive threshold prediction, mask generation, and image inpainting was proposed. Initially, the Hue, Saturation, Value (HSV) statistical features were extracted from each image and used to train a regression model that predicts an image-specific threshold. Subsequently, the predicted threshold was applied in the CIE LAB color space, followed by a condition-based dynamic adjustment algorithm to refine the mask area and distribution. Finally, an Aggregated Contextual Transformation (AOT)-based generator network was used to restore the masked regions. Results: The proposed dynamic adjustment reduced over-masking compared with regression-only processing and better preserved tooth surface texture. Pixel distribution analysis demonstrated a lower distributional discrepancy, with the Wasserstein distance reduced from 2.9601 to 1.3505 and the Kullback–Leibler divergence reduced from 0.3451 to 0.0618. In the clinical expert evaluation, the proposed method was preferred in 69.5% of the 200 evaluation responses, and the preference difference was statistically significant (p < 0.001). Conclusions: As a proof-of-concept study conducted under controlled conditions using synthetic images, the proposed pipeline reduced specular highlights while better preserving tooth surface texture than the baseline approaches. These findings suggest that the pipeline may support standardized preprocessing of dental image datasets, although broader applications such as long-term monitoring and AI-assisted diagnostic workflows require validation on real clinical photographs. Full article

We present the first vascular flora of Sirente-Velino Regional Park, a protected area located in central Apennine (Abruzzo, Central Italy), covering 550 km². The floristic inventory was compiled based on extensive field surveys conducted from 1990 to 2025. Thanks to specific funding secured for the final three years (2023–2025), field trips became systematic, aimed at covering the entire territory of the park, including its diverse habitats across different seasons. Furthermore, an analysis of the relevant literature was performed, alongside a comprehensive review of herbarium specimens housed at APP, FI, NAP, and RO. The park’s flora comprises 2066 taxa (1370 species and 696 subspecies, including 11 hybrids), belonging to 117 families and 671 genera, with 122 classified as alien. Notably, 169 taxa are endemic to Italy. Our study reports 234 taxa for the first time within the park, while 52 remained unconfirmed in recent times and 22 are of doubtful occurrence. Five taxa are newly recorded for the Abruzzo region: Alchemilla alpinula, A. obtusa, A. vulgaris, Hyacinthoides non-scripta, and Salsola tragus. Additionally, the revision of APP herbarium specimens led to the exclusion of Euphorbia tommasiniana from the regional flora, reassigning the material to the alien E. saratoi. The species richness of the native flora exceeds expectations by 50.8%, a finding likely driven by the area’s significant geographical, geological, and microclimatic diversity, which results in high environmental heterogeneity. Conversely, alien taxa are 5.6% lower than expected, probably due to the high ecological integrity of the park, a predominantly mountainous territory with low population density and minimal anthropogenic disturbance. Representing 20.6% of the entire Italian flora, the Sirente-Velino Regional Park stands out as one of Europe’s protected areas with the greatest diversity of vascular plants. Full article

This study aimed to identify risk factors for major postoperative complications (TMM) and their impact on overall survival in patients aged ≥80 years undergoing lung cancer surgery, a group at increased risk of morbidity. A total of 88 patients aged ≥80 years who underwent anatomical lung resections were retrospectively analyzed. Postoperative complications were classified into minor or no complications (TMM 0–2) and major (TMM ≥ 3) complications. Logistic regression analysis was performed to identify independent predictors of major complications. Kaplan–Meier estimates were used to measure overall survival. Major complications occurred in 24 patients (27.3%). Multivariable regression analysis identified perioperative blood transfusion as an independent risk factor for major complications (p = 0.0009). Patients with major complications exhibited significantly reduced overall survival (p = 0.0009). Subgroup analysis revealed that patients who underwent minimally invasive surgery had significantly better survival (p = 0.01). Moreover, perioperative transfusion correlated with diminished overall survival (p = 0.0027). In patients aged ≥80 years undergoing lung resections, the occurrence of major postoperative complications is associated with significantly impaired survival. Minimally invasive surgical approaches and blood conservation strategies may mitigate complications and enhance long-term outcomes in this high-risk group. Full article

Public space vitality is increasingly regarded as a central issue in the conservation and renewal of traditional villages, yet existing studies rarely combine spatial pattern analysis with residents’ perceptual evaluation within a single framework. Taking Yutu Village in southeastern Hubei, China, as a case, this study develops a Space–Event analytical framework integrating GIS-based spatial statistics with Importance–Performance Analysis (IPA). Semi-structured interviews, participatory mapping, and questionnaire surveys identified 58 public event units, 34 physical public spaces, and 241 event–space coordinate points. Kernel density estimation (KDE) and Ripley’s K-function analysis indicate a composite structure of one core, multiple centers, four axes, and five clusters. Historical and cultural events cluster around heritage buildings, daily life and production events extend along everyday movement corridors up to 155 m, and ritual and folk cultural events remain concentrated at small-scale ceremonial nodes. Based on 112 valid questionnaires, IPA-based evaluation shows negative gaps between importance and satisfaction across all 23 indicators (p < 0.001 for all items), with spatial narrative showing the largest gap (Δ = −1.66), while ritual-related indicators achieve the highest satisfaction scores, suggesting a degree of cultural resilience in ceremonial spaces. By cross-referencing spatial clustering types with IPA quadrants, the study proposes differentiated strategies, including narrative-oriented design for heritage spaces, connectivity enhancement for everyday networks, and protective maintenance for ritual nodes, offering an evidence-based framework transferable to comparable traditional village contexts. Full article

Primordial germ cells (PGCs) are the earliest precursors of gametes and essential cellular materials for poultry germplasm conservation and genetic modification. In this study, PGCs isolated from 2.5-day male and female Silkie chicken embryos were defined as circulating PGCs (cPGC_M and cPGC_F), whereas PGCs isolated from 8.5-day male and female embryos were defined as gonad-derived PGCs (gPGC_M and gPGC_F). RNA sequencing with three biological replicates per group was performed to characterize developmental-stage- and sex-associated transcriptional programs. Comparative transcriptomic analyses identified stage-associated differences in pathways related to cell–matrix interaction, focal adhesion, PI3K–Akt signaling, and stem cell pluripotency, with more differentially expressed genes detected in the female than in the male stage comparison. Sex-biased expression was detectable at the circulating stage, mainly reflecting W- and Z-linked expression differences, and the number of sex-biased genes was greater after gonadal colonization, primarily because more autosomal differentially expressed genes were detected. Candidate genes and pathways, including HINTW, DMRT1, SOX2, EDNRB, LPAR4, GFRA3, ECM–receptor interaction, ribosome-related modules, and calcium signaling, were associated with these comparisons and are presented as targets for future validation rather than as confirmed regulators. Because the study used three biological replicates per group, RT-qPCR corroboration was limited to six female stage-associated genes, and no functional perturbation assays were performed, the findings are descriptive and do not establish causal mechanisms of PGC migration, gonadal colonization, or sex differentiation. Within these limitations, the dataset provides an exploratory resource for subsequent studies of chicken PGC biology and biotechnology. Full article

Animal venoms represent an extraordinary, yet largely untapped, biochemical reservoir for oncological drug discovery. This review provides a comprehensive analysis of venom-derived enzyme inhibitors as emerging anticancer agents, emphasizing their chemical diversity, structure–activity relationships (SAR), molecular targets, and mechanistic pathways. Venom-derived peptides and proteins exhibit exceptional binding affinity and structural rigidity, characteristics frequently enforced by conserved disulfide networks. This specific architecture allows them to selectively modulate critical cancer-associated enzymes, including matrix metalloproteinases, phospholipases A₂, serine proteases, and kinases. Inhibiting these highly specific targets successfully disrupts tumour angiogenesis, extracellular matrix remodelling, and metastatic dissemination, while simultaneously inducing apoptosis through unique pathways such as reactive oxygen species generation. Modern computational approaches, encompassing deep learning algorithms, molecular docking, and molecular dynamics simulations, are substantially accelerating and transforming the discovery pipeline by rapidly mapping intricate peptide–receptor interactions and guiding rational drug design. Translating these potent molecules into clinical therapeutics remains heavily challenged by pharmacokinetic instability, rapid proteolytic degradation, and systemic toxicity. The integration of computationally optimized scaffolds with advanced targeted delivery platforms, such as nanocarriers and liposomal encapsulation, offers a highly viable strategy to overcome these barriers, ultimately paving the way for next-generation, venom-inspired cancer therapies. Full article

The monosaccharide transporter (MST) family mediates soluble sugar transport and distribution, playing critical roles in plant growth, development, and fruit sugar accumulation. Citrus is a globally important fruit crop whose organoleptic quality depends heavily on sugar content. However, a systematic genome-wide analysis of MST genes in citrus is lacking. In this study, we identified 68 MST genes in the Citrus sinensis genome and classified them into seven subfamilies based on phylogenetic analysis. Chromosomal localization revealed uneven distribution across all nine chromosomes. Conserved motif, domain, and gene structure analyses further supported the evolutionary conservation and functional divergence. Syntenic analysis identified segmental duplication as the main driver for family expansion, and interspecific comparisons with Arabidopsis thaliana, Solanum lycopersicum, and Malus domestica provided evolutionary insights. Promoter cis-regulatory element analysis indicated that CsMSTs may respond to light, phytohormones, and stress signals, with several members carrying sugar-responsive elements potentially involved in sugar–acid metabolism. Moreover, by integrating soluble sugar content and transcriptome data across three fruit developmental stages, we performed a correlation analysis and identified 6 CsMST members showing high correlation with sucrose, glucose, and fructose simultaneously based on the Mantel test. qRT-PCR validation and linear correlation analysis confirmed that three of these members were significantly negatively correlated with sugar levels, whereas one was significantly positively correlated. This work provides a comprehensive characterization of the MST family in citrus and highlights candidate genes for future functional dissection of sugar transport and fruit quality improvement. Full article

Detailed knowledge of biodiversity is fundamental to supporting conservation and management strategies in protected natural areas, especially in mountain systems located in biogeographic transition zones (Chihuahuan Desert and Sierra Madre Oriental regions). The Sierra de Zapalinamé State Natural Reserve is a priority system in northeastern Mexico; however, comprehensive long-term inventories of its terrestrial vertebrate fauna have been limited. The objective of this study was to comprehensively characterize the richness and composition of the terrestrial vertebrate fauna of the Sierra de Zapalinamé State Natural Reserve using a long-term, multi-source dataset integrating systematic field surveys, biological collections, and citizen science records, and to assess the extent to which the reserve represents the vertebrate diversity of northeastern Mexico. A total of 415 terrestrial vertebrate species were recorded, comprising 299 birds, 67 mammals, 42 reptiles, and 7 amphibians. Despite its proximity to urban areas and industrial activities, the reserve maintains high levels of biodiversity, harboring a substantial proportion of the terrestrial vertebrate fauna of northeastern Mexico. The results emphasize the importance of the Sierra de Zapalinamé State Natural Reserve as a regional biodiversity hotspot and support the strengthening of long-term monitoring and management strategies to improve wildlife conservation in underrepresented ecoregions facing increasing environmental pressures. Full article