Search Results (50,492)

Accurate detection of cattle and sheep is a core task in precision livestock farming. However, the complexity of agricultural settings, where visible light images perform poorly under low-light or occluded conditions and infrared images are limited in resolution, poses significant challenges for current smart monitoring systems. To tackle these challenges, this study aims to develop a robust multimodal fusion detection network for the accurate and reliable detection of cattle and sheep in complex scenes. To achieve this, we propose YOLO-MSLT, a multimodal fusion detection network based on YOLOv10, which leverages the complementary nature of visible light and infrared data. The core of YOLO-MSLT incorporates a Cross Flatten Fusion Transformer (CFFT), composed of the Linear Cross-modal Spatial Transformer (LCST) and Deep-wise Enhancement (DWE), designed to enhance modality collaboration by performing complementary fusion at the feature level. Furthermore, a Content-Guided Attention Feature Pyramid Network (CGA-FPN) is integrated into the neck to improve the representation of multi-scale object features. Validation was conducted on a cattle and sheep dataset built from 5056 pairs of multimodal images (visible light and infrared) collected in the Manas River Basin, Xinjiang. Results demonstrate that YOLO-MSLT performs robustly in complex terrain, low-light, and occlusion scenarios, achieving an mAP@0.5 of 91.8% and a precision of 93.2%, significantly outperforming mainstream detection models. This research provides an impactful and practical solution for cattle and sheep detection in challenging agricultural environments. Full article

Background/Objectives: Penile squamous cell carcinoma (PSCC) is rare but aggressive. Systemic chemotherapy plays a crucial role in the management of node-positive or metastatic cases; however, the supporting evidence predominantly originates from small, non-randomized studies. This review provides a narrative analysis of the cytotoxic classes and regimens employed in PSCC and compares major clinical guidelines to facilitate informed decision-making in practice. Methods: English-language reports were identified in PubMed/Scopus/Google Scholar without date limits. Selection prioritized objective response, survival and toxicity outcomes, and guidance statements across neoadjuvant, adjuvant, and palliative settings. Results: Bleomycin-containing triplet regimens demonstrated efficacy but were associated with unacceptable pulmonary toxicity, leading to their discontinuation in clinical recommendations. Currently, cisplatin/taxane-based combinations remain fundamental in treatment protocols. The paclitaxel–ifosfamide–cisplatin (TIP) regimen achieves approximately 40–50% objective responses in phase II studies and may enable curative surgery, while taxane–cisplatin–5-fluorouracil (TPF) shows comparable efficacy with higher toxicity. For less fit patients, cisplatin–5-fluorouracil (PF) or carboplatin–taxane doublets are pragmatic alternatives. Single-agent taxanes or vinflunine offer modest second-line benefits. Although EAU–ASCO 2023, ESMO–EURACAN 2024, and NCCN v2.2025 are broadly in consensus, recommendations differ regarding eligibility thresholds and regimen preferences. Overall, the quality of the evidence remains low. Conclusions: TIP remains the reference neoadjuvant option for chemotherapy-fit patients with bulky nodal disease; doublets are reasonable when cisplatin fitness is limited; and bleomycin should be avoided. Harmonized eligibility criteria, biomarker-enriched studies, and coordinated multicenter trials are needed to improve outcomes in this rare malignancy. Full article

Deep Reactive Ion Etching (DRIE), as a key process in silicon micromachining, remains constrained in high-precision applications by sidewall angle deviation and aspect ratio limitations. This study systematically investigates the mapping relationship between process parameters and etching morphology, focusing on the following aspects: the influence mechanism of C₄F₈ passivation time and bottom RF power on sidewall perpendicularity; and the effect patterns of etch cycle count, single-step time, and bottom RF power on aspect ratio and top–bottom line width (CD) difference. The findings reveal that dynamic adjustment of bottom RF power significantly influences sidewall angle: incremental adjustment tends to cause sharp angles (decreased angular precision), while decremental adjustment tends to form obtuse angles. Simply increasing the cycle count leads to a bottleneck in etch depth growth. Combining incremental bottom RF power adjustment can overcome depth limitations but induces axial variation in aperture dimensions. Optimizing the passivation-to-etch time ratio effectively controls etch morphology characteristics. This study achieved an etch depth of 112.2 μm for a 5 μm wide trench with an overall aperture size difference of 0.279 μm, providing a theoretical basis and practical guidance for parameter optimization in DRIE processes for high-precision silicon structure fabrication. Full article

The Digital Twins of the Ocean (DTOs) represent an emerging framework for monitoring, simulating, and predicting ocean dynamics, supporting a range of applications relevant to understanding and responding to the global climate system. By integrating large-scale, multi-sourced datasets with advanced numerical models, DTOs provide a powerful tool for climate science. This review examines the role of machine learning (ML) in advancing DTOs applications, addressing the limitations of traditional methodologies under current conditions of increasing data availability from satellites, in situ sensors, and high-resolution numerical models. We highlight how ML serves as a versatile tool for enhancing DTOs capabilities, including real-time forecasting, correcting model biases, and filling data gaps where conventional approaches fall short. Furthermore, we review surrogate models that aim to complement or replace traditional physical models, offering increasing accuracy and the appeal of much faster inference for forecasts, and the insertion of hybrid models, which couple physics-based simulations with ML algorithms and are proving to be continuously improving in accuracy for complex oceanographic tasks as bigger datasets become available and methodologies evolve. This paper provides a comprehensive review of ML applications within DTOs, focusing on key areas such as water quality and marine biodiversity, ports, marine pollution, fisheries, and renewable energy. The review concludes with a discussion of future research directions and the potential of ML to foster more robust and practical DTOs, ultimately supporting informed decision-making for sustainable ocean management. Full article

This work presents an automated method for detecting and monitoring volcanic islands in the Tonga archipelago using Sentinel-2 satellite imagery. The method is able to detect newly created islands, as well as an increase in island size, a possible precursor to an explosion due to magma chamber inflation. At its core, the method combines a U-Net-type convolutional neural network (CNN) for semantic segmentation with a custom change detection algorithm, enabling the identification of land–water boundaries and the tracking of volcanic island dynamics. The algorithm analyzes morphological changes through image comparison and Intersection over Union (IoU), capturing the emergence, disappearance, and evolution of volcanic islands. The segmentation model, trained on a custom dataset of Pacific Ocean imagery, achieved an IoU score of 97.36% on the primary test dataset and 83.54% on a subset of challenging cases involving small, recently formed volcanic islands. Generalization capability was validated using the SNOWED dataset, where the segmentation model attained an IoU of 81.02%. Applied to recent volcanic events, the workflow successfully detected changes in island morphology and provided time-series analyses. Practical feasibility of the methodology was assessed by testing it on a large region in Tonga, using an HPC cluster. This system offers potential applications for geophysical studies and navigation safety in volcanically active regions. Full article

Background and Objectives: Pemphigus vulgaris (PV) is a rare autoimmune blistering disease caused by IgG autoantibodies against desmoglein 3 and/or desmoglein 1, leading to flaccid blisters on the skin and mucous membranes. The course of PV during pregnancy represents a special clinical challenge due to immunological changes accompanying physiological immunosuppression and the need to protect the developing fetus. Materials and Methods: To analyze the current state of knowledge, a literature review was performed covering the years 2015–2025. Publications describing PV diagnosed during pregnancy or in neonates were screened, and nine case reports discussing ten patients meeting the inclusion criteria were selected for detailed analysis. In this study, we also present our own clinical case of PV in pregnancy to complement the literature review and provide practical insight into disease management. Results: In most cases, the disease was diagnosed in the first trimester of pregnancy, and the most common symptoms were flaccid blisters and erosions of the oral mucosa. The diagnosis was confirmed by direct immunofluorescence (DIF) and ELISA testing. The first-line treatment remained systemic glucocorticosteroids (GCS), mainly prednisolone, which is considered the safest. In resistant cases, intravenous immunoglobulins (IVIg) were used, which were considered effective and safe, though their use may limit the transplacental transfer of autoantibodies to the fetus. In newborns, the symptoms rarely occurred, were mild, and resolved spontaneously. Drugs with proven teratogenic effects, such as methotrexate, cyclophosphamide, and mycophenolate mofetil, are contraindicated during pregnancy. In the case of rituximab therapy, it is recommended to postpone pregnancy for at least 12 months after the completion of treatment to minimize the potential risk of immunosuppression in the newborn. Conclusions: The treatment of PV during pregnancy requires close interdisciplinary cooperation. Therapy should be carefully individualized, taking into account both therapeutic efficacy and fetal safety. Perhaps then, pregnancy-related pemphigus diseases, given their peculiarities, should be classified as a distinct variety within the desmosomal type of autoimmune blistering diseases. Full article

This study conducts a systematic bibliometric review of artificial intelligence (AI)-based approaches to tacit knowledge extraction and management. Drawing on data retrieved from Scopus and Web of Science, this study analyzes 126 publications published between 1985 and 2025 using VOSviewer and Biblioshiny to map citation networks, keyword co-occurrence patterns, and thematic evolution. The results identify nine major clusters spanning machine learning, natural language processing, semantic modeling, expert systems, knowledge-based decision support, and emerging hybrid techniques. Collectively, these findings indicate a field-wide shift from manual codification toward scalable, context-aware, and semantically enriched approaches that better support tacit knowing in organizational practice. Building on these insights, the paper introduces the AI–Tacit Knowledge Co-Evolution Model, which situates AI as an epistemic partner—augmenting human interpretive processes rather than merely codifying experience. The framework integrates Polanyi’s concept of tacit knowing, Nonaka’s SECI model, and sociotechnical learning theories to elucidate how human–AI interaction transforms the dynamics of knowledge creation. The review consolidates fragmented research streams and provides a conceptual foundation for guiding future methodological development in AI-enabled tacit knowledge management. Full article

High photovoltaic (PV) penetration in distribution networks (DNs) often causes network congestion, which in turn leads to renewable curtailment. Existing studies on battery swapping stations (BSSs) mainly focus on energy management of established stations, rather than system-level planning and coordination. To address these challenges, this study proposes a coordinated planning method for electric vehicle (EV) BSSs to improve PV utilization. The method integrates BSS siting, capacity sizing, and price-subsidy strategies into a unified mixed-integer linear programming (MILP) model. The model is developed to integrate road networks (RNs) and DNs, capturing the interaction between EV battery swapping behavior and DN operation. By guiding swapping behavior through price-subsidy strategies to align with local PV output, the method enables more flexible energy utilization and mitigates network congestion. Case studies are conducted on a combined IEEE 33-bus DN system and Sioux Falls RN. Results show that the proposed method can effectively improve local PV utilization and reduce curtailment without violating DN operational constraints. Overall, the proposed method provides an efficient and practical decision-support tool for the integrated planning of BSSs and renewable-rich DNs. Full article

The next frontier in postmenopausal osteoporosis management lies not in novel pharmacological agents, but in the systematic integration of mechanism-guided drug selection, fall prevention, and long-term adherence strategies into a unified patient-centered care model. This review is intended for clinicians and clinical researchers involved in the diagnosis, treatment, and long-term management of postmenopausal osteoporosis. We provide a mechanism-to-practice framework that explicitly maps each therapeutic class to the specific molecular pathway it targets: bisphosphonates inhibit osteoclast function downstream of RANKL activation; denosumab blocks RANKL directly at the cytokine level; romosozumab inhibits sclerostin to restore Wnt-mediated bone formation. This mechanistic foundation supports a risk-stratified treatment paradigm in which antiresorptives address accelerated remodeling in moderate-risk patients, while patients at very high fracture risk—characterized by severe bone deficit or recent fragility fractures—benefit from an anabolic-first approach followed by consolidation. Beyond drug selection, we examine the persistent treatment gap in which fewer than 20% of post-fracture patients receive therapy, arguing that fall prevention—responsible for >90% of hip fractures—and medication adherence deserve equal priority in clinical practice. We further analyze key controversies, including T-score- versus FRAX-based intervention thresholds, limitations of the trabecular bone score, cost-effectiveness constraints on anabolic-first sequencing, and evidence gaps in post-denosumab transition strategies. By synthesizing mechanistic insights, guideline recommendations, and critical appraisal of current limitations, this review offers not only an overview of existing knowledge but a coherent decision-support model aimed at improving fracture prevention through comprehensive, individualized care. Full article

Infectious bronchitis virus (IBV) remains a common pathogen in poultry production. Although its clinical and economic impact in Europe has markedly declined in recent decades due to extensive vaccination, ongoing viral circulation continues to pose risks to animal health and provides opportunities for viral evolution. In this study, we investigated the molecular epidemiology of GI-19 and related strains in Spain using samples collected between 2008 and 2025. Partial S1 sequencing revealed a complex scenario involving three major clades and several minor ones, the latter likely resulting from independent introduction events from north-western Europe, particularly Denmark. Six distinct recombination events involving GI-13 and GI-19 parental strains—some apparently vaccine derived—were also identified, several of which showed wide geographical spread and long-term persistence. Both recombinant and non-recombinant variants were detected across multiple regions and production systems, indicating strong epidemiological connectivity among broilers, layers, and breeders. Although overall viral population size appeared stable over time, shifts in the predominance of specific clades and recombinant groups were observed, possibly reflecting fitness advantages of newly introduced or evolved variants and reduced cross-protection from existing immunity. These findings highlight the susceptibility of the poultry sector to repeated introductions, mixing, and the dissemination of IBV variants. Strengthened molecular surveillance and tailored control strategies, together with the periodic evaluation of vaccination practices and population immunity, are needed to limit viral circulation, reduce recombination opportunities, and mitigate the impact of IBV. Full article

Objectives: The aim of this study was to evaluate the stability of azacitidine (AZA) under clinical storage conditions (room temperature vs. refrigeration) to identify practical protocols that minimize waste and improve cost-effectiveness. Methods: AZA solutions (1 mg/mL) were stored at 23 ± 2 °C or 4 °C. Stability was assessed using a validated high-performance liquid chromatography (HPLC) method. Chromatographic separation was achieved on a Hypersil ODS C₁₈ column (250 mm × 4.6 mm, 5 μm) using an isocratic mobile phase of 50 mM potassium phosphate buffer (pH 7.0)-acetonitrile (98:2, v/v) at a flow rate of 1.0 mL/min, with UV detection at 245 nm and a 20 μL injection volume. The method demonstrated specificity for AZA and its main degradation product (DP), with LOD and LOQ of 12.56 μg/mL and 62.8 μg/mL, respectively. Linearity (R² = 0.9928), precision (RSD% < 5 for mid/high levels), and accuracy (mean recovery 96%) were established. Results: Azacitidine degraded rapidly at room temperature, with >85% loss within 24 h. In contrast, refrigeration at 4 °C significantly delayed degradation, with only ~26% loss observed over the same 24 h period. Chromatographic analysis confirmed the formation of a primary degradation product (tentatively identified as the open-ring hydrolytic species N-(formylamidino)-N′-β-D-ribofuranosylurea based on its chromatographic behavior and literature data), consistent with the known hydrolytic pathway. The applied HPLC-UV method offered an optimal balance of specificity and practicality for monitoring this main degradation trend under clinical storage conditions, distinguishing it from more complex techniques used primarily for structural elucidation. Conclusions: The pronounced instability of reconstituted AZA underscores the critical importance of strict adherence to immediate-use protocols. Refrigeration provides only a limited stability window. Based on our kinetic data, maintaining the reconstituted solution within an acceptable degradation limit (e.g., ≤10% loss) at 4 °C would require administration within a very short timeframe, supporting current handling guidelines to ensure therapeutic efficacy and minimize economic waste. Full article

Asymmetric V-shaped tunnels are commonly found in newly built urban underground road tunnels. In such kinds of tunnels, the flow of smoke becomes very complicated in the event of a fire, and effective smoke control under longitudinal ventilation is challenging. The critical ventilation speed under different slope combinations and heat release rates (HRRs) of fire in asymmetric V-shaped tunnels with the fire sources located at the slope change point were investigated by experiments through a 1:20 small-scale V-shaped model tunnel. The research results indicate that the critical ventilation speed increases with the increasing of fire HRR. If the fire source power remains constant, when longitudinal ventilation is implemented on the side with small slope, the critical ventilation speed decreases as the slope difference between the two sides of the slope change point increases. Conversely, when longitudinal ventilation is implemented from the large slope side, the critical ventilation speed increases as the slope difference increases. For practical engineering applications, based on the critical ventilation speed of single-slope tunnels, and incorporating the experimental results from model tests, calculation models for the critical ventilation velocity were developed, respectively, for longitudinal ventilation implemented from large or small slope sides with slope corrections taken into account. The research findings can provide technical support for effective smoke control in V-shaped tunnels during fire incidents. Full article

This study presents an enhanced hybrid TLBO–ANN model for daily photovoltaic (PV) power generation prediction. By combining the strong nonlinear modeling capacity of Artificial Neural Networks (ANN) with the robust optimization capability of the Teaching–Learning-Based Optimization (TLBO) algorithm, the proposed framework effectively improves prediction accuracy and generalization performance. The model was trained using real meteorological and power generation data and validated on a grid-connected PV power plant in Türkiye. Results indicate that the hybrid TLBO–ANN approach outperforms the conventional ANN by achieving 39.97% and 37.46% improvements on the test subset and overall dataset, respectively. The improved convergence behavior and avoidance of local minima by TLBO contribute to this enhanced accuracy. Overall, the proposed hybrid model provides a powerful and practical tool for reliable PV power forecasting, which can facilitate better grid integration, operational planning, and energy management in renewable energy systems. Full article

Food security is threatened in the semiarid region of Brazil, which is susceptible to climate change and has low-fertility soils degraded by inadequate agricultural practices. This study aimed to evaluate safflower’s adaptation to the region and the benefits to the soil and crop of applying biochar and wood vinegar (WV). Biochar, pure or WV-added (Wv-biochar), was applied to the soil at doses of 3.0, 6.0, and 9.0 t ha⁻¹. Determinations performed in three harvests of safflower were plant height, number of capitula per plant, number of seeds per capitulum, mass of 1000 seeds, seed yield, and oil content. The maximum safflower yields (1818.52 kg ha⁻¹) and oil content (45.50%), and the average values of mass of 1000 seeds (35.55 g) were consistent with results reported in literature. Evidence of better performance of the variables under the effect of Wv-biochar than of pure biochar was observed, and, in general, the curves obtained showed quadratic behavior, with maximum values at intermediate doses. The seed yield and oil content achieved indicate that safflower is a promising crop for the region, particularly when more adapted genotypes and improved management practices are employed. The most pronounced effects on safflower production and oil content were observed at doses of 5 to 6 t ha⁻¹ of Biochar and Wv-biochar, which are economical and sustainable alternatives due to their use of organic waste and the benefits they provide for soil and food security. Full article

Although operons are a fundamental feature of prokaryotic genomes, their organization is non-random. The specific influence of operon architecture on gene expression, however, remains poorly characterized. In this study, we systematically analyzed the effects of operon length and gene position on expression levels in Escherichia coli and Bacillus subtilis. We found that promoter-proximal (5′ end) genes were expressed at higher levels and that expression of a given gene could be enhanced by increasing the overall length of the operon. To leverage these principles for metabolic engineering, we developed a Head-to-Tail PCR (HTPCR) method for the rapid assembly of synthetic operons with permuted gene orders. Application of this method enabled the construction of a synthetic rib operon that increased riboflavin yield by 35.38%. Collectively, these findings provide a theoretical framework and a practical methodology for designing efficient synthetic operons to enhance the production of target compounds. Full article