Search Results (145)

Monitoring marine organisms plays a vital role in biodiversity conservation, marine environmental management, and fisheries resource management. However, the underwater environment is often low-light and turbid, leading to indistinct target boundaries. Moreover, the wide variety of marine organisms—with significant differences in color, scale, texture, and morphology—can easily result in missed detections. To address these challenges, this paper proposes a multi-class marine organism detection method using multi-scale attention-enhanced You Only Look Once 11 nano (YOLO11n). The method incorporates the Convolutional Block Attention Module (CBAM) into the YOLO11n network, enabling the model to better focus on key feature regions while effectively suppressing background noise interference in complex marine environments. In addition, the model is trained using the Complete Intersection over Union (CIoU) loss function, which enhances bounding box regression accuracy, especially in handling targets of varying scales. The effectiveness of the proposed method is validated on the publicly available BrackishMOT dataset. The proposed model achieves an overall mAP@0.5 of 0.481, computed as the average AP across six organism categories. Category-wise results indicate stronger performance on visually distinguishable targets, such as Jellyfish, Starfish, and Small fish, with AP values of 0.808, 0.678, and 0.677, respectively. In contrast, performance remains limited for rare or visually ambiguous categories. These results suggest that the proposed method is effective for multi-class marine organism detection, particularly when discriminative visual features are present. Full article

The environmental water balance is threatened due to the massive extraction of freshwater resources for daily human consumption around the world. This study endeavors to incorporate Visual MODFLOW, remote sensing and GIS techniques to establish a computational simulation of groundwater flow and quantify groundwater availability in the Siliguri Planning Area, which is facing rapid urbanization and high population growth. The basic parameters of MODFLOW modeling, such as observation heads and wells, boundary conditions and layer properties, are prepared from data issued by different sources. A model was designed to enhance our understanding of the three-dimensional hydrogeologic system of aquifers and simulate current and future groundwater behavior. Model performance was evaluated using more statistical indicators, including mean absolute error (MAE = 0.386 m), root mean square error (RMSE = 0.466 m) and coefficient of determination (R² = 0.9826), which indicate good agreement between observed and simulated groundwater levels. Recharge is primarily controlled by monsoonal precipitation and LULC characteristics, with agricultural and vegetated areas contributing 60–70% of total recharge, while built-up areas contribute less than 20%. Temporal analysis indicates localized groundwater decline at a rate of 0.16–0.18 m/year in urbanized zones. The groundwater recharge in the study area ranges from 5000 to 10,000 hectare-meters (ham), while groundwater extraction ranges from 1000 to 1500 ham. Overall, the net groundwater availability across all layers is 10,430 hectare-meters (ham). The findings may help groundwater authorities and associated organizations better comprehend the possible state of groundwater resources and put adaptation plans into place to prevent the loss of the water resources. Full article

Vogt–Koyanagi–Harada syndrome (VKH) is a rare granulomatous autoimmune disease characterised by a systemic immune response directed against melanocytes. This multisystem condition primarily affects organs that are rich in melanocytes, such as the eyes, inner ear, meninges and skin. VKH might be responsible for the development of chronic uveitis and permanent visual impairment, particularly in cases where a diagnosis is delayed and treatment is not administered in a timely manner. A key factor in its pathogenesis is the loss of immune tolerance to melanocytes, driven by a T-cell–mediated immune response and genetic susceptibility, including the presence of HLA-DRB1*04 antigens. In recent years, immune checkpoint inhibitors (ICIs) have become the standard treatment in oncology, including non-small cell lung cancer and unresectable melanoma. However, it should be noted that their utilisation carries with it the potential for immune-related adverse events, including rare cases of VKH-like uveitis. The objective of this review is to outline the clinical features of VKH syndrome, examine current diagnostic and treatment approaches, and emphasise the immunopathological mechanisms associated with drug-induced forms of VKH, with a particular focus on programmed cell death protein 1 (PD-1) inhibitors. The article also includes an analysis of the genetic, epigenetic, and environmental factors that predispose individuals to the disease. This analysis facilitates a deeper understanding of the pathogenesis of the disease and assists in the identification of patients at increased risk of drug-induced VKH manifestations. Full article

Background: Endoscopic sacrocolpopexy (ESC) is a widely performed procedure for pelvic organ prolapse, with laparoscopic sacrocolpopexy (LSC) and robotic-assisted sacrocolpopexy (RSC) approaches. However, suturing to the anterior longitudinal ligament at the sacral promontory carries a risk of massive hemorrhage due to presacral vascular injury. This study aimed to determine the frequency of presacral venous variations considered clinically relevant during suturing at the promontory and to explore their association with perioperative outcomes using contrast-enhanced three-dimensional computed tomography (3D-CT). Methods: Among 319 consecutive ESC cases performed between 2014 and 2025, 265 patients who underwent preoperative contrast-enhanced CT were retrospectively analyzed in this single-center cohort study. Two vascular findings were defined as clinically significant: (1) anomalous drainage of the internal iliac vein into the contralateral common iliac vein and (2) a clearly visualized median sacral vein on 3D reconstruction. The clinical impact of vascular abnormalities was evaluated using surgical time, blood loss, and perioperative complication rates as indicators. Student’s t-test was used for comparing continuous variables, and the chi-squared test was used for comparing categorical variables. The data for this study were retrospectively collected from electronic medical records, anonymized, and then analyzed. Results: Anomalous internal iliac vein drainage was observed in 11.3% (30/265), and a visible median sacral vein was observed in 10.2% (27/265). Overall, 17.7% (47/265, CI: 13.2–22.2%) of patients had at least one clinically significant variation. There were no significant differences between the groups in terms of age, parity, BMI, operative time, blood loss, or perioperative complication rates. No cases required transfusion. Conclusions: Clinically significant presacral vein mutations were present in approximately 1 in 6 patients. The main findings of this study are that clinically significant presacral vascular mutations are relatively frequent (17.7%) in ESC and that there was no significant difference in perioperative outcomes between patients with and without vascular mutations. Clinically relevant presacral vascular variations are relatively common in ESC. Preoperative contrast-enhanced 3D-CT may support risk assessment and surgical planning. Full article

Sustainable precision agriculture is crucial for optimizing resource utilization, reducing chemical inputs, and ensuring global food security. High-precision automatic recognition and monitoring of key crop organs (e.g., wheat heads and flower clusters) serve as the technological foundation for sustainable agricultural management decisions. However, visual perception in natural field environments is highly susceptible to external conditions. To address the challenges of severe background interference and feature dilution in crop small object detection within complex agricultural scenarios, this paper proposes an enhanced detection network, ACF-YOLO, based on YOLO11. First, an Aggregated Multi-scale Local-Global Attention (AMLGA) module is designed to enhance the feature representation of weak targets by fusing local details with global semantics. Second, a Context-Guided Fusion Module (CGFM) and a Soft-Neighbor Interpolation (SNI) strategy are introduced. Their synergy alleviates feature aliasing effects and ensures the precise alignment of deep semantic information with shallow spatial details. Furthermore, the Inner-MPDIoU loss function is employed to optimize the bounding box regression accuracy for non-rigid targets by incorporating geometric constraints and auxiliary scale factors. To verify the detection capability of the proposed method, we constructed a UAV Wheat Head Dataset (UWHD) and conducted extensive experiments on the UWHD, GWHD2021, and RFRB datasets. The experimental results demonstrate that ACF-YOLO outperforms other comparative methods, confirming its stable detection performance and contributing to the sustainable development of agriculture. Full article

Noise disturbances can cause conflicts in several areas, such as residences, civil constructions, highways, subways, and airports, measured by different scales of acoustic comfort for community well-being evaluation. These disturbances also have signatures such as frequency, amplitude, and temporal patterns to compare acoustic comfort with real-time parameters. In addition, acoustic sensors should be chosen based on accuracy, price, and calibration method, and acoustic insulation should be applied with the aim of achieving reliable measurements in indoor and outdoor environments for sustainable urban living. In some situations, the lack of noise control can lead to several human disorders, from hearing loss to cardiovascular complications. Therefore, legislation and regulation should be carefully studied and applied to achieve an equilibrium between energy-efficient and healthy building designs in entertainment, work, and rest activities with measured parameters visualized through the design of interface tools that should enable the collection and organization of sound data, with proper presentation for the final user. Finally, intellectual property registrations bring recent industrial applications with aspects of noise mitigation. All these features constitute noise disturbance mitigation in a multi-dimensional integration framework of technology, health, and law to improve the quality of life in human-centric environments. Full article

Soil organic carbon (SOC) stocks in cacao agroecosystems are characterized by accumulating large amounts. They depend on the balance between organic matter inputs (plant residues, roots) and losses (decomposition, erosion), being closely related to climatic conditions, soil nature, vegetation type, topography, and land management practices. The objective of this study was to quantify SOC stocks (0–30 cm) and assess key soil fertility indicators across 107 georeferenced sampling locations in cacao production systems of Guamal (Meta, Colombian Llanos Piedmont). Soil pH varies between extremely acidic and moderately acidic (3.8–6.0; mean 4.57), while available P (Bray II) and exchangeable bases showed low concentrations. Organic carbon concentration averaged 1.18% and bulk density averaged 1.17 g cm⁻³. SOC stocks averaged 41.10 Mg C ha⁻¹, ranging from 7.49 to 81.55 Mg C ha⁻¹, evidencing marked spatial contrasts in carbon storage. Spearman correlations highlighted coupled soil chemical controls, including positive associations of pH with Ca²⁺ and P availability and strong negative associations of pH and P with exchangeable Al³⁺, consistent with acidity-driven fertility constraints. Principal component analysis (PCA) further identified a dominant fertility gradient structured by pH, P availability, and Ca²⁺, and a second axis related to organic carbon and cation retention. Spatial modeling using inverse distance weighting (IDW) in ArcGIS supported the visualization of SOC stock variability across the study area. Overall, the results indicate that SOC stocks in these predominantly sandy soils are strongly influenced by acidity-related constraints and heterogeneous nutrient status, underscoring the need for site-specific management to jointly enhance soil fertility and climate-mitigation potential in cacao systems. Therefore, it would be advisable in the future to address the study of differential variations in soil C storage related to chemical fertilizer application rates, especially in the long term. Full article

In this experiment, we used a late 17th century embalming protocol for the long-term preservation (7.2 years) of an infant-sized piglet in order to evaluate the success of this technique over a period of several years. According to the description of the French anatomist Penicher (published in 1699), an 8.8 kg female piglet corpse was treated with a broad spectrum of herbs, seeds, leaves, flowers and dried berries, along with an alcohol-based fluid following subtotal exenteration and a reduction in peripheral muscle mass. The further process of this dry embalming technique was monitored by visual, tactile and olfactory evaluation of the embalmed body, along with a record of the body weight. Repeatedly taking samples from the skin and soft tissues provided insight into eventual changes on a histomorphological level and two whole-body CT scans complemented the evaluation of the internal changes within the corpse, which was eventually examined at autopsy. On the macroscopic level, we recorded slight signs of autolysis and very mild putrefaction within the first few weeks and a very well preserved and stable body over the subsequent years of evaluation. In parallel, we noted a gradual loss of fluid, as shown by a reduction in the body weight. This occurred faster in the first year (reduction in body weight by ca. 25%) than in the following ca. 4 years (with another ca. 25% loss of body weight). The CT scans showed stable osseous and soft tissue structures, while the few remaining internal organs that had been left inside the body after initial evisceration (such as kidneys and internal genitalia) had already completely disappeared after approx. 1 year. On the histological level, the histoanatomy of skin, subcutis and muscle remained intact over the entire observation period. A loss of epidermal cell nuclei was not noted before day 1772 and there were only slight signs of adipocire formation of fat tissue at the end point of observation (day 2634). In summary, we can confirm that excellent body preservation of external skin and soft tissue was maintained over a considerably long period (in this case, 7.2 years) using the applied protocol of dry embalming, but a complete loss of residual internal organs/structures beyond skin, subcutaneous fat tissue and muscle. Previous observations of the excellent preservation of an infant mummy that underwent the dry embalming procedure are very plausible. Full article

Dragon fruit (Hylocereus spp.) is an emerging crop in the tropics and subtropics, but its production is increasingly threatened by diseases that reduce yield and profitability. Early diagnosis of these diseases is crucial for timely intervention, yet visual symptoms often appear only after significant infection has occurred. The study aims to evaluate how optical spectral reflectance can detect dragon fruit diseases and identify the most responsive spectral regions. In this study, six major dragon fruit stem diseases: Neoscytalidium stem canker, stem sunburn, anthracnose, Botryosphaeria stem canker, Bipolaris stem rot, and bacterial soft rot were characterized by the goal of identifying unique spectral signatures for early detection and differentiation of each disease. Seventy-two potted dragon fruit plants of three distinct species were grown under four organic vermicompost treatments (0, 5, 10, 20 tons/acre) in both open-field and high-tunnel conditions together, in a randomized complete block design. A handheld spectroradiometer (350–2500 nm) was used to collect reflectance from the diseased and healthy cladodes (stem segment). Various spectral vegetative indices were computed to identify disease-specific features. The results revealed distinct spectral features for each disease. Infected cladodes consistently exhibited higher reflectance especially in the visible region (400–700 nm) and the near-infrared region (900–2500 nm) of the spectrum than healthy cladodes. The Normalized Difference Vegetative Index (NDVI), Green Normalized Difference Vegetative Index (GNDVI), and Spectral Ratio (SR) spectral indices were significantly higher in healthy plants than in diseased ones, reflecting higher chlorophyll concentration and plant biomass. Conversely, the 1110/810 ratio was lower in healthy plants than in diseased plants, suggesting a more compact internal plant structure. Statistical analysis revealed highly significant differences (p < 0.00001) between healthy and diseased spectra in the Red, Green and NIR regions. Linear Discriminant Analysis(LDA) achieved the highest classification accuracy (OA = 0.642, κ = 0.488), though performance was limited for minority classes. These findings demonstrate that targeted spectral sensing can identify dragon fruit diseases before obvious symptoms emerge. By pinpointing disease-specific spectral indices, our study paves the way for early-warning tools such as targeted multispectral sensors or drone-based imaging that would enable growers to intervene sooner and limit losses. These results highlight the potential for development of UAV-based or portable spectral sensors for large-scale, near real-time disease monitoring in dragon fruit production. Full article

Background/Objectives: Feeding with a ketogenic diet (KD), nutritionally devoid of carbohydrates, may be metabolically beneficial. The administration of a KD to mice after previous feeding with a high-fat, high-carbohydrate diet (HFD) induced weight loss, ketonemia, and glycemic normalization. Here, to compare organ-specific responses to KD, we analyzed lipogenic and gluconeogenic enzymes and genes in the liver and kidney of mice submitted to KD versus (i) HFD or (ii) a saccharose-enriched diet. Methods: Liver and kidney were from (i) mice fed a HFD followed by an 8-week switch to a chow diet (CD), KD continuation of HFD, and (ii) mice submitted to CD, KD, or a saccharose-enriched diet for 1 week. Protein expression levels were determined by Western blotting, and gene expression by qPCR. Hepatic lipid accumulation was visualized by red oil-O. Results: Switch to a KD led to a simultaneous decrease in lipogenic FASN (Fatty Acid Synthase), ACC (Acetyl-CoenzymeA Carboxylase), and its phosphorylated form (pACC-Ser79) in the liver and kidney. In parallel, we observed increased activating phosphorylation of AMPK, the kinase responsible for ACC phosphorylation. In the liver, but not in the kidney, the gluconeogenic rate-limiting enzyme G6Pase (Glucose 6-phosphatase) was repressed under a KD. The switch to a CD significantly reduced hepatic fat accumulation, while a switch to a KD did not allow a significant reversal of hepatic fat accumulation, suggesting resilience to hepatic fat loss under KD. Comparison of a KD versus saccharose-supplemented diet showed an opposite expression pattern of lipogenic enzymes. Conclusions: Administration of KD after previous HFD induced convergent repression of lipogenic enzymes in the liver and kidney, and specific repression of G6Pase in the liver, suggesting a role for kidney gluconeogenesis during KD. KD versus saccharose-supplemented diet had opposite effects on lipogenesis and glycemic control, but both induced loss of lean body mass. Full article

2,6-Dichlorophenolindophenol (DCIP) is a redox dye and colorimetric reagent previously shown to enable rapid quantification of laboratory cultures of oral microorganisms. DCIP is reduced by viable microbial cells, resulting in loss of its blue color that can be measured spectrophotometrically. Previous studies demonstrated that several strains of oral bacteria and yeasts grown in culture reduce DCIP, with significant correlations observed between increasing viable plate counts and DCIP reduction. The present investigation expanded upon these studies by evaluating DCIP as a method for assessing heterogeneous mixtures of oral microorganisms collected from human subjects. Oral rinse samples were obtained from 184 adults aged 18–70 years and analyzed for DCIP reduction and viable bacterial counts. DCIP reduction was observed in all oral samples, and viable bacterial counts spanning an approximately two-log range (~100-fold difference) demonstrated a statistically significant correlation with DCIP reduction (r = 0.74; p < 0.001). Nonviable organisms did not reduce DCIP, and no DCIP reduction occurred in the absence of bacteria. These results support DCIP reduction as a practical, low-cost platform for estimating viable oral microbial burden, with the additional advantage of a visually interpretable colorimetric readout. Full article

Background/Objectives: Tangent screen perimetry is a valuable tool for detecting functional visual loss (FVL), which is suspected when the visual field fails to expand as expected with distance. However, there is currently a lack of research documenting the specific tangent screen patterns produced by patients with organic visual loss (OVL), defined as visual field loss caused by identifiable structural or neurologic pathology. This study aims to characterize the visual field patterns observed in patients with organic and functional pathologies during tangent screen perimetry and evaluate its diagnostic efficacy in confirming FVL. Methods: Medical records of patients from Seoul National University Bundang Hospital between August 2009 and August 2019 were reviewed. All subjects underwent a comprehensive neuro-ophthalmologic examination with additional testing to confirm the diagnosis of OVL or FVL. A total of 126 eyes from 76 patients exhibiting visual field constriction within 30 degrees were included. The tangent ratio (TR) was defined as the average visual field (in radians) at a far distance (e.g., 2 m) divided by the average visual field at a near distance (e.g., 1 m). The visual field patterns and TR were analyzed, and the diagnostic value of TR in detecting FVL was determined. Results: The clover leaf pattern and reversal pattern were observed in 8.8% and 12.7% of FVL cases, respectively, whereas no such patterns were found in OVL cases (p = 0.002, p < 0.001). The TR varied from 0.50 to 1.06 (mean 0.77 ± 0.16) in OVL and from 0.33 to 1.03 (mean 0.65 ± 0.15) in FVL (p < 0.001). Younger age, a clover leaf pattern or reversal pattern on tangent screen perimetry, and a lower TR were significantly associated with FVL. Conclusions: Tangent screen perimetry is an effective adjunct for differentiating functional from organic visual field loss, particularly in cases of visual field constriction. Full article

Background: Vitamin A is an essential micronutrient critical for vision, immune function, cellular differentiation, and metabolic homeostasis. The liver serves as the primary site of vitamin A storage and systemic distribution, delivering all-trans-retinol (ROL) to peripheral tissues, including the retina, via retinol-binding protein 4 (RBP4). Tight regulation of retinoid delivery to peripheral tissues is crucial for metabolic function and photoreceptor integrity. Objectives: This review provides a current understanding of intestinal absorption, hepatic storage, systemic transport, and ocular utilization of vitamin A, with a focus on the role of retinol-binding protein 4 receptor 2 (RBPR2) in mediating liver–eye communication. Results: Studies using Rbpr2 knockout mice show that loss of RBPR2 impairs hepatic ROL-bound RBP4 uptake and retinyl ester concentrations, alters circulating holo-RBP4 levels, and reduces ocular retinoid content, leading to visual dysfunction and photoreceptor structural abnormalities. These effects are amplified under dietary vitamin A-deficient conditions, highlighting its unique sensitivity to tightly regulated serum RBP4-ROL transport. In mouse models of Stargardt disease, dietary modulation of RBPR2 mRNA expression and serum RBP4-ROL levels protects against lipofuscin accumulation and attenuates retinal cell degeneration, suggesting translational relevance. Conclusions: This review article explores the liver–eye axis by focusing on the regulation of retinoid homeostasis in the liver and other systemic organs through the non-ocular RBP4 receptor protein, RBPR2, and how RBPR2 expression may influence liver and serum retinoid homeostasis, which can impact visual function. Disruption of RBPR2 markedly compromises systemic and retinal retinoid supply, emphasizing its potential as a therapeutic target for metabolic and retinal disorders. Full article

Mutations in the fibroblast growth factor 10 (FGF10) gene in humans cause aplasia of the lacrimal and salivary glands (ALSG). In patients with ALSG, heterozygous loss-of-function mutations are found, and FGF10 haploinsufficiency results in the absence of these secretory organs. Lacrimal glands (LGs) are formed through epithelial thickening, budding, and branching morphogenesis. To compare the variable phenotypes of the Fgf10^+/− Harderian glands (HGs) previously reported, we examined the development of LGs in wild-type (WT), Fgf10^+/−, and Fgf10-null mice. Pax6 immunostaining was performed to visualize the LG primordia from embryonic day 15.5 (E15.5) onwards. In situ hybridization of the genes encoding the epithelial receptor of FGF10, FGFR2b, and its other ligands was performed to determine their potential involvement in LG development. LG primordia were not observed in Fgf10^+/− mice bilaterally at E16.5 or later stages. At E15.5, budding from the developing conjunctival epithelium (CE) was observed in a small fraction of the Fgf10^+/− LG primordia. In contrast, the Fgf10-null CE failed to promote budding. Among Fgf1, Fgf3, Fgf7, Fgf10, and Fgf22, Fgf10 was expressed in the mesenchyme surrounding developing LG epithelial cells, whereas Fgf1 was expressed in the LG epithelium of WT mice. Fgf7 was initially expressed in the mesenchyme surrounding the nascent LG epithelium, but its expression subsequently became diffused. Thus, we conclude that among the FGFR2b ligands, initial LG formation is dependent on the mesenchymal factors FGF10 and FGF7, and FGF1 is likely to function as an epithelial factor in the LG primordia. A single allele of Fgf10 was found to be insufficient to support the budding process during LG morphogenesis. Full article

This paper introduces a deep learning-based framework for video watermarking that achieves robust, imperceptible, and fast embedding under a wide range of visual and temporal conditions. The proposed method is organized into seven modules that collaboratively perform frame encoding, semantic region analysis, block selection, watermark transformation, and spatiotemporal injection, followed by decoding and multi-objective optimization. A key component of the framework is its ability to learn a visual importance map, which guides a saliency-based block selection strategy. This allows the model to embed the watermark in perceptually redundant regions while minimizing distortion. To enhance resilience, the watermark is distributed across multiple frames, leveraging temporal redundancy to improve recovery under frame loss, insertion, and reordering. Experimental evaluations conducted on a large-scale video dataset demonstrate that the proposed method achieves high fidelity, while preserving low decoding error rates under compression, noise, and temporal distortions. The proposed method operates processing 38 video frames per second on a standard GPU. Additional ablation studies confirm the contribution of each module to the system’s robustness. This framework offers a promising solution for watermarking in streaming, surveillance, and content verification applications. Full article