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Agroforestry Optimisation for Climate Policy: Mapping Silvopastoral Carbon Sequestration Trade-Offs in the Mediterranean
No full textEffective implementation of silvopastoralism, a key Nature-Based Solution for Europe’s climate goals, is hindered by a lack of decision-support tools clarifying trade-offs between efficiency and extent of carbon sequestration. To address this, we developed a multi-objective scenario analysis (4064 scenarios) to identify optimal strategies for silvopastoral expansion across the EU27 Mediterranean bioregion. We found an inverse relationship defining a clear trade-off: scenarios achieving the highest mean sequestration (up to 2.5 Mg CO2 ha−1 year−1) are spatially limited, whereas those maximising total gains (approaching 107 Mg CO2 year−1 in total) do so by incorporating vast areas, lowering mean rates. This trade-off is formalised by a Pareto front, from which we defined a best-balanced optimal scenario and three policy regimes (conservative, balanced, expansive). Progressing across the front involved shifting from converting primarily shrubby and sparsely vegetated lands to incorporating grasslands and mixed agro-systems. At the NUTS2 level, Spain and Greece emerged as hotspots. Notably, converting arable land was not a primary contributor to carbon gains, as the marginal carbon benefit on these productive soils is lower than on marginal lands due to their higher baseline soil carbon levels, indicating that large-scale implementation can focus on marginal lands to avoid conflicts with food security. While subject to uncertainties of the underlying land-use and carbon models, this analysis demonstrates that our framework enables policymakers to select spatially explicit strategies aligned with specific budget or sequestration goals. These insights can inform CAP eco-schemes and national LULUCF strategies. The resulting maps and code are freely available
Dual-Wavelength 980 nm and 1550 nm Laser Therapy Accelerates Alveolar Socket Healing After Tooth Extraction
No full textBackground/Objectives: Alveolitis, or “dry socket,” is a common complication after tooth extraction, associated with pain, inflammation and delayed healing. Standard surgical treatments are often invasive and insufficient. Laser therapy offers antimicrobial, anti-inflammatory and regenerative effects. This study aimed to compare the efficacy of 980 nm monolaser therapy and 980 nm and 1550 nm dual-wavelength therapy on alveolar socket healing in a rabbit model. Methods: In vitro tests evaluated bactericidal effects of 980 nm laser exposure. Eighteen adult male chinchilla rabbits underwent the extraction of the first incisors with the prevention of clot formation to model alveolar socket healing. On day 3, animals were randomized to three groups: mechanical curettage and antiseptic irrigation, 980 nm diode laser therapy, or combined 980 nm + 1550 nm therapy. Clinical parameters (hyperemia, edema, pain, socket closure) were assessed up to day 7. Histological and microbiological analyses were performed on days 7 and 12. Results: Laser therapy showed superior outcomes compared to mechanical treatment. In vitro, 980 nm exposure eradicated microorganisms after 3 s. By day 7, hyperemia decreased to 0.7 ± 0.6 points in the dual-laser group, versus 2.0 ± 0.0 (980 nm) and 3.0 ± 0.0 (mechanical). Complete socket closure occurred in 33% with mechanical treatment and in 67% of sites in the dual-laser group. Pain was fully resolved only after dual-laser therapy. Histology confirmed more organized granulation tissue and angiogenesis in the dual-laser group. Conclusions: Dual-wavelength laser therapy demonstrated superior anti-inflammatory, antimicrobial and regenerative effects compared with diode monotherapy and mechanical treatment. These findings highlight its promise as a minimally invasive approach for managing alveolitis, warranting further clinical evaluation
Is Chronic Pelvic Sepsis Complicating Low Anterior Resection of Rectal Cancer Preventable?
No full textThe combination of anatomical inaccessibility, less-than-optimal blood supply, tightly closed anal sphincters below a low anastomosis, and an infected haematoma is likely to be contributory to anastomotic leakage following low anterior resection of the rectum for rectal cancer. Although under-reported, chronic pelvic sepsis complicating low anterior resection of the rectum is still a major problem associated with impaired quality of life. It should be avoided as much as possible, in addition to the fact that it is more difficult to manage surgically than acute sepsis. Primary preventive measures are well established. Secondary prevention of chronic pelvic sepsis is achieved by early diagnosis and active management of the anastomotic leak. However, optimal postoperative management cannot fully eliminate chronic sinuses or delayed reactivation leaks. With chronic leakage, major restorative redo-anastomosis or ablative abdominal perineal resection is required and 20% of patients will require a permanent stoma
Relationships Between Loaded Countermovement Jumps and 1-RM Back Squat: A Discrete Metrics and Waveform Analysis
No full textBackground/Objectives: This study evaluated the differences in force–time characteristics of different incrementally loaded countermovement jumps (CMJs) and assessed their relationship to one-repetition maximum (1-RM) back squat performance. Methods: Nineteen resistance-trained males participated in this cross-sectional study, performing CMJs under six conditions (0%, 20%, 40%, 60%, 80%, and 100% body mass) followed by a 1-RM back squat. Multiple regression models were used to evaluate the relationship between discrete CMJ metrics (net concentric impulse, net concentric mean force, eccentric duration) with 1-RM values. Additionally, one-dimensional statistical parametric mapping (SPM) was used to evaluate the intact force–time curve between jump conditions. Results: The multiple regression models explained 53–66% of the variance in 1-RM squat performance, which was greatest under the 80% body mass condition. One-dimensional SPM analysis revealed significant differences in force–time curves across all loading conditions. Conclusions: These findings demonstrate that metrics from a loaded CMJ explained up to 66% of variance in the 1-RM back squat, suggesting the two tests are independent measures of strength. Further, each loaded jump condition elicited unique force-time curves, suggesting that each load requires a different neuromuscular technique
A Georeferenced Field Dataset of Forest Cover Density and Composition for Vegetation Classification and Monitoring
No full textForests provide a wide range of ecosystem services, and their importance in supporting human well-being is widely recognized. As goods and benefits from forests are exhaustible, it is therefore essential to gather sound data for their monitoring and management. Remote sensing has gained increasing importance in collecting data on forests, driven by the growing demand for regularly updated environmental data. However, remote sensing modeling of vegetation requires reference data to be collected in the field. This article presents a dataset on tree crown cover—both total and by species—of 528 georeferenced forest plots located in the Eastern Alps, Italy, an area affected by extensive wind and snow damage and subsequent widespread damage caused by bark beetles. The characteristic species of the forest types in the dataset are widely distributed over the Eurasian continent, making the dataset potentially useful to many users and researchers studying forest biodiversity or remote sensing applications to monitor forest cover changes. Data were collected within a still ongoing project aimed at detecting crown cover changes in small forest patches
RNA-Binding Proteins in Dinoflagellates
No full textThe described features of dinoflagellate gene expression indicate the predominance of post-transcriptional and translational regulation over transcriptional control. These microorganisms also exhibit extensive RNA editing and distinctive splicing characteristics. This regulatory landscape underscores the central role of RNA-binding proteins in dinoflagellate biology. In this review, we summarize current knowledge on major RNA-binding protein groups identified or bioinformatically annotated in dinoflagellates, including RNA recognition motif domain-containing proteins, Sm and Sm-like family, KH domain-containing proteins, zinc-finger proteins, and Pumilio family proteins, S1 domain-containing and cold shock domain-containing proteins, DEAD/DEAH-box RNA helicases, and pentatricopeptide repeat proteins. We focus on the features of their conserved domains, their functions in eukaryotes, and available data on their presence and putative roles in dinoflagellate cells. Integrating genomic, transcriptomic, and proteomic evidence, and where possible experimental data, we highlight both their overall conservation and potential lineage-specific traits. Our aim is to provide a concise synthesis of current knowledge, identify key uncertainties, and outline promising directions for future research into the evolution and cellular roles of RNA-binding proteins in this ecologically and biologically remarkable group
From Sound to Risk: Streaming Audio Flags for Real-World Hazard Inference Based on AI
No full textSeconds count differently for people in danger. We present a real-time streaming pipeline for audio-based detection of hazardous life events affecting life and property. The system operates online rather than as a retrospective analysis tool. Its objective is to reduce the latency between the occurrence of a crime, conflict, or accident and the corresponding response by authorities. The key idea is to map reality as perceived by audio into a written story and question the text via a large language model. The method integrates streaming, zero-shot algorithms in an online decoding mode that convert sound into short, interpretable tokens, which are processed by a lightweight language model. CLAP text–audio prompting identifies agitation, panic, and distress cues, combined with conversational dynamics derived from speaker diarization. Lexical information is obtained through streaming automatic speech recognition, while general audio events are detected by a streaming version of Audio Spectrogram Transformer tagger. Prosodic features are incorporated using pitch- and energy-based rules derived from robust F0 tracking and periodicity measures. The system uses a large language model configured for online decoding and outputs binary (YES/NO) life-threatening risk decisions every two seconds, along with a brief justification and a final session-level verdict. The system emphasizes interpretability and accountability. We evaluate it on a subset of the X-Violence dataset, comprising only real-world videos. We release code, prompts, decision policies, evaluation splits, and example logs to enable the community to replicate, critique, and extend our blueprint
Variability and Permanency: Variation in the Density of Leaf Glandular Trichomes and Terpene Composition in Mentha spicata var. crispa (Benth.) Danert and M. × piperita var. citrata (Ehrh.) Briq.
No full textEssential oils (EOs) of Mentha spicata var. crispa (Benth.) Danert and M. × piperita var. citrata (Ehrh.) Briq. and EO components are widely used in medicine, pharmaceuticals, cosmetics, hygiene products, the food industry, and other fields, and have a high commercial value. The variety Mentha spicata var. crispa is also used as an ornamental plant due to its distinctive curled leaves. Studying the influence of growing conditions and harvest timing on EO yield and the major compound concentrations is one of the key research directions for Mentha species, aimed at the ascertainment of the ways of increasing EO production and quality. Gas chromatography analysis of the component composition of EOs from leaves of Mentha spicata var. crispa “Kurchavaya” (MscK) showed that it remained stable both in July and September, with carvone predominating (81% and 85%, respectively). In contrast, the EO composition from M. × piperita var. citrata “Apelsinovaya” (MpcA) leaves changed in the course of the vegetation period. In July, menthofuran dominated (30%), while in September, linalool and its acetate were predominant (34% and 47%, respectively), which was typical for this chemotype. At the same time, the content of EOs and the density of glandular trichomes (GTs) (the OE storage sites) in MscK were higher in July and decreased by September, whereas in MpcA, both EO content and the number of GTs increased from July to September. These changes may have been caused by temperature fluctuations. Thus, MscK proved to be more resistant to environmental factors than MpcA
MIE-YOLO: A Multi-Scale Information-Enhanced Weed Detection Algorithm for Precision Agriculture
No full textAs precision agriculture places higher demands on real-time field weed detection and recognition accuracy, this paper proposes a multi-scale information-enhanced weed detection algorithm, MIE-YOLO (Multi-scale Information Enhanced), for precision agriculture. Based on the popular YOLO12 (You Only Look Once 12) model, MIE-YOLO combines edge-aware multi-scale fusion with additive gated blocks and two-stage self-distillation to boost small-object and boundary detection while staying lightweight. First, the MS-EIS (Multi-Scale-Edge Information Select) architecture is designed to effectively aggregate and select edge and texture information at different scales to enhance fine-grained feature representation. Next, the Add-CGLU (Additive-Convolutional Gated Linear Unit) pyramid network is proposed, which enhances the representational power and information transfer efficiency of multi-scale features through additive fusion and gating mechanisms. Finally, the DEC (Detail-Enhanced Convolution) detection head is introduced to enhance detail and refine the localization of small objects and fuzzy boundaries. To further improve the model’s detection accuracy and generalization performance, the DS (Double Self-Knowledge Distillation) strategy is defined to perform double self-knowledge distillation within the entire network. Experimental results on the custom Weed dataset, which contains 9257 images of eight weed categories, show that MIE-YOLO improves the F1 score by 1.9% and the mAP by 2.0%. Furthermore, it reduces computational parameters by 29.9%, FLOPs by 6.9%, and model size by 17.0%, achieving a runtime speed of 66.2 FPS. MIE-YOLO improves weed detection performance while maintaining a certain level of inference efficiency, providing an effective technical path and engineering implementation reference for intelligent field inspection and precise weed control in precision agriculture. The source code is available on GitHub
Functional Characterization and Application of Lacticaseibacillus and Lactobacillus Strains to Hatching Eggs for Control of Salmonella Enteritidis in Layer Hatchlings
No full textWith growing emphasis on antibiotic-free poultry production, functional probiotics represent a promising strategy to improve gut health and reduce pathogen transmission. This study characterized three lactic acid bacteria (LAB) strains Lactobacillus delbrueckii subsp. bulgaricus NRRL-B-548 (LD), Lacticaseibacillus paracasei DUP-13076 (LP), and Lacticaseibacillus rhamnosus NRRL-B-442 (LR) for their probiotic potential and evaluated their efficacy against Salmonella enterica in poultry. The LAB strains were assessed for acid and bile tolerance, lysozyme resistance, cholesterol assimilation, antimicrobial activity, surface hydrophobicity, epithelial adherence, hemolysis, and antibiotic susceptibility. Genomic analysis was performed to identify genes associated with probiotic functionality. The protective potential of LR and LP was further validated in hatchlings using a hatchery spray model challenged with Salmonella Enteritidis. All strains survived simulated gastric and intestinal conditions, exhibited strong adhesion to epithelial cells, and demonstrated high hydrophobicity, indicating robust colonization capacity. The LAB significantly inhibited Salmonella Enteritidis, S. Typhimurium, and S. Heidelberg growth in vitro and remained sensitive to clinically relevant antibiotics. In vivo application of LR and LP to hatching eggs markedly reduced S. Enteritidis colonization in the liver, spleen, and ceca of hatchlings. Further, genomic profiling of the LAB strains revealed genes for bacteriocin production, exopolysaccharide synthesis, and carbohydrate metabolism supporting probiotic function. In summary, the evaluated LAB strains exhibit multiple probiotic attributes and strong anti-Salmonella activity, confirming their potential as safe, hatchery-applied probiotics for improving gut health and biosecurity in poultry production systems