Search Results (37,217)

Porcine circovirus type 2 (PCV2) is the primary causative agent of a spectrum of porcine circovirus-associated diseases (PCVDs) and remains a major threat to the global swine industry. In this study, ten monoclonal antibodies (mAbs) targeting the Cap protein of PCV2 were generated and characterized. One mAb, designated 4C4, which exhibited high reactivity, strong neutralizing activity, and superior blocking efficacy, was selected for horseradish peroxidase (HRP) labeling. After optimizing the reaction parameters, a blocking ELISA was developed for the detection of the anti-PCV2 antibody. Using receiver operating characteristic (ROC) curve analysis, a cutoff value of 40% was established to distinguish positive from negative serum samples. The sensitivity and specificity of this blocking ELISA method were 98.66% and 100%, respectively. No cross-reactivity was observed with serum antibodies against classical swine fever virus (CSFV), porcine epidemic diarrhea virus (PEDV), porcine deltacoronavirus (PDCoV), porcine reproductive and respiratory syndrome virus (PRRSV), or pseudorabies virus (PRV). Intra-assay and inter-assay repeatability tests yielded coefficients of variation (CVs) all below 10%, confirming the assay's excellent reproducibility. Simultaneous testing of 312 clinical porcine serum samples using the developed bELISA and a commercial indirect ELISA kit revealed an overall coincidence rate of 99.04%. In addition, the percentage inhibition (PI) in the bELISA was strongly correlated with serum anti-PCV2 neutralizing antibody titers. In conclusion, the blocking ELISA developed herein demonstrates high sensitivity, strong specificity, and good reproducibility, serving as a potentially effective tool for the detection of the anti-PCV2 antibody and epidemiological investigation. Full article

Robust unmanned aerial vehicle (UAV) detection in real low-altitude anti-UAV scenarios remains challenging due to motion blur, extreme illumination, cluttered backgrounds, and tiny target sizes. Most existing UAV detectors rely on RGB imagery, but their performance often degrades severely under these adverse conditions. Event cameras, as a neuromorphic sensing modality, capture motion-sensitive responses with high temporal resolution and thus provide complementary cues for robust UAV detection. However, existing RGB–event fusion detectors usually employ homogeneous feature extraction and generic fusion mechanisms, which are insufficient to handle heterogeneous modality degradation and exploit reliable cross-modal cues. To address this limitation, we propose SMG-UAV, a sparse mutual guided RGB–event fusion network for robust small-UAV detection. The proposed method integrates a hybrid dual-branch backbone for modality-specific representation learning, a Sparse Mutual Guided Bridge for bidirectional sparse cross-modal refinement, and a Selective Gated Pyramid Neck for multiscale enhancement of weak UAV responses. Experiments on the Florence RGB-Event Drone Dataset (FRED) and the Neuromorphic-RGB Drone Detection Dataset (NeRDD) demonstrate that SMG-UAV achieves state-of-the-art performance, outperforming the strongest competing method by an average of 5.2 points in ${\mathrm{AP}}_{50}$, while delivering stronger robustness under multiple challenging anti-UAV conditions. Full article

As calibration errors have a direct impact on epipolar consistency, rectification accuracy, and metric 3D reconstruction performance, stereo camera calibration is a fundamental requirement for high-accuracy 3D modeling and reliable digital twin data acquisition. Because current calibration workflows (based on pairwise calibration methods) lack systematic data-quality checks mechanisms, there is a clear need for more robust data selection strategies. The novelty of the approach consists in the development of a new outlier-aware stereo calibration algorithm (OutAw) that introduces a unified multi-stage approach that integrates hard geometric selection, candidate subset generation, multi-criterion ranking, bootstrap stability analysis, and triangulation assessment into a comprehensive and systematic calibration framework. Unlike conventional approaches, OutAw (through its mechanism of detecting and rejecting inconsistent pairs) redefines the calibration strategy from arbitrary to criterion-based data selection. Also, the proposed algorithm is compared with BSC (a baseline OpenCV all-pairs calibration algorithm) and InterFil (an intermediate filtered variant) using 49 stereo pairs (at 1280 × 720 resolution) captured using a planar checkerboard. OutAw algorithm achieved (using only nine image pairs) superior results (epipolar error 0.5119 px, stereo RMS 0.7666 px) to the BSC ones (epipolar error 1.3687 px, stereo RMS 1.9385 px), representing statistically significant improvements (60.5%, respectively 62.3%). OutAw geometric consistency was validated by triangulation-based metrics (square-length standard deviation 0.1140 mm and square absolute error 0.1097 mm). Contamination analysis revealed that as the outlier rate increases, the calibration process degrades progressively. Also, the results obtained highlight that geometric quality-driven image selection is critical for achieving a reliable stereo calibration for DT applications. Full article

Phosphate tailings (PTs), a solid waste generated from phosphate flotation, are a low-grade phosphate resource rich in quartz and dolomite. Their long-term accumulation leads to both resource loss and environmental risks, making valorization increasingly important for the sustainable development of the phosphorus chemical industry. In this study, calcareous–magnesian PTs were used as raw materials, and selective hydrothermal leaching with weakly acidic AlCl₃ solution was employed to separate the dolomite phase and directly construct a Ca-Mg-Al precursor solution for layered double hydroxides (LDHs). The LDHs were subsequently synthesized by co-precipitation and evaluated for phosphate removal from wastewater. The results showed that the precipitation pH markedly affected the phase composition and platelet morphology of the LDHs, while appropriate aging conditions further improved their adsorption performance. Under the optimal conditions of pH 12, aging at 40 °C for 2 h, the obtained LDHs exhibited the best phosphate uptake. Adsorption kinetics followed the pseudo-second-order model, and the maximum adsorption capacity calculated from the Langmuir model reached 38.61 mg-P/g. Characterization by XRD, FTIR, TG-DTA, point of zero charge, and XPS indicated that phosphate removal was dominated by surface complexation, accompanied by anion exchange, ionic precipitation, and electrostatic attraction. Full article

This paper proposes the Continuous Operational Feedback Loop (COFL) architecture, a fully localized, event-driven operational monitoring and response system for Direct-to-Consumer (D2C) commerce. The architecture integrates the n8n workflow engine with on-premise large language model (LLM) inference via the Ollama framework, forming a containerized stack deployable on commodity CPU-only edge hardware (~USD 1640). Using a multi-source dataset of 1800 records constructed from publicly available e-commerce corpora and evaluated with a silver-standard automated labeling protocol, empirical validation demonstrates an end-to-end latency of 3.22 s and a macro-F1 sentiment classification score of 0.836—representing 98.2% of the full-precision baseline and 94.0% of cloud GPT-4o API generation quality measured by ROUGE-L—at approximately 1/200th of the per-request inference cost. A systematic quantization ablation study across six model-quantization configurations establishes LLaMA 3 8B Q4_K_M as the Pareto-optimal selection for the target hardware. An Analytic Hierarchy Process (AHP) multi-criteria framework with criterion weights derived from published literature confirms the COFL implementation achieves a higher composite score than cloud API deployment under the stated evaluation assumptions. Failure mode and effects analysis (FMEA) is summarized to characterize system reliability under identified failure scenarios. Full article

Multifunctional drugs represent an emerging strategy for treating complex skin disorders and melanoma. A series of benzothiazole-based hybrids incorporating gallic and syringic acid moieties was synthesized and evaluated as multifunctional agents for skin-related applications. Six hydrazone (GAHYDR1–3) and acyl-hydrazone (GACIN1–3) derivatives were obtained and fully characterized. Hydroxylated compounds showed the strongest antioxidant activity, with GAHYDR1 and GACIN1 displaying low DPPH IC₅₀ values and high FRAP reducing power. UV–Vis studies revealed strong UVA–UVB absorption, with molar extinction coefficients comparable to or exceeding those of PBSA. Photoprotective evaluation showed SPF values up to 10.09 (GACIN2) and broad-spectrum behavior for selected derivatives. Antioxidant activity remained substantially stable over 3 months in solution. Antiproliferative assays against Colo38, A375, and HaCaT cell lines indicated generally low cytotoxicity toward non-tumor cells. Notably, GAHYDR3 exhibited selective activity against A375 melanoma cells (IC₅₀ = 8.75 µM; SI = 8.12). Overall, phenolic substitution emerged as a key determinant of biological activity, highlighting hydroxylated benzothiazole hybrids as promising antioxidant and photoprotective agents, with GAHYDR3 representing a potential lead for anti-melanoma development. Full article

Background: Antimicrobial resistance (AMR) is widely considered to be driven by antimicrobial consumption through within-host selection. However, whether this mechanism adequately explains population-level patterns of resistance in invasive infections remains uncertain. If antimicrobial use is the dominant determinant, resistance should be highest in demographic groups with the greatest exposure. Methods: We conducted a retrospective analysis of 44,792 community-onset Escherichia coli bloodstream infection episodes identified through national Australian surveillance data (2013–2024). Resistance prevalence across individual antimicrobials and composite multidrug resistance panels was analysed by age and sex. These data were compared with community antimicrobial dispensing derived from the Pharmaceutical Benefits Scheme. Mean resistance was modelled as a function of age and sex. Results: Antimicrobial use was substantially higher in females than males (~23% overall) and increased markedly with age, with individuals aged ≥80 years receiving approximately three times more antimicrobials than those aged 25–30 years. In contrast, resistance was consistently lower in females across most antimicrobials and composite measures. Resistance demonstrated an inverted U-shaped age distribution, peaking at 30–40 years before declining in older age groups. From early adulthood to older age, antimicrobial dispensing increased threefold, whereas mean resistance declined by approximately 20%. These patterns were consistent across antimicrobial classes, years, and jurisdictions. Conclusions: These findings show that demographic patterns of antimicrobial resistance in community-onset E. coli bloodstream infections are not well explained by a simple population-level consumption model. These findings should be interpreted as important hypothesis-generating insights. Although antimicrobial exposure remains important for individual-level selection, the observed discordance between prescribing and resistance suggests that other factors, including differences in transmission pathways, healthcare contact, disease prevalence, community sanitation and socioeconomic circumstances may also significantly shape resistance patterns. Full article

Neither women’s studies nor lesbian and gay studies offers an adequate theoretical or political base for disruptive scholarship. Reading and interpreting Southern African writers, especially Sindiwe Magona and Ngugi wa Thiong’o, promotes women’s studies as an academic and political approach to both gender and the erotic. Drawing on genealogies of rupture and intergenerational studies, we argue that the feminist is a positionality that must be widely available to challenge heterosexual perspectives and become a catalyst for audiences to engage in nuanced analyses of discourses on places and genres—narrative in particular—where memories are rearticulated and elaborated. This article explores how the narratives of Magona, Ngugi, and Soyinka inform and complicate the erasure, erosion, and amnesia that accompany contemporary imaginaries of what is re/membered. We challenge the tendency to evaluate African feminisms as only either oppressive or empowering and read the selected texts and their prototypical characters as dynamic embodiments that inform gendered spaces across both the attachments that people hold to particular gender identities and styles and recognising the punitive realities of dominant gender expectations. The article takes a positionality on the often troubled relationship between feminism and femininity, a critical but generous reading that highlights the potential for an affirmative orientation towards identity politics. This study utilises the theoretical lenses of border thinking and decolonial and African feminisms to interrogate matrifocal borderlands and the sociohistorical and cultural dis/continuities of being and becoming. We explore notions of the entanglement of motherhood, daughterhood, wifehood, and sisterhood as morphing identities. These are identities at the margins of political, sociocultural, and gender normativities in African literature. Magona’s “threshold people”, like Ngugi’s perfect nine, destabilise, disrupt, and refuse to be subordinated as they codify living differently in the in-between worlds. Magona, for instance, laminates the challenging discourse of contestation to map difficult, dangerous, and marginal spaces where women live at the borders of sociocultural, religious, ethnic, and gendered norms. These are spaces suffused with affective possibilities—defensiveness, shame, anxiety, anger, curiosity—and the women have to develop relational solidarities in negotiating hyper-visibilities or (in)visibilities within the 21st-century global south. Full article

We present FilterForge, a chat-driven VS Code environment that pulls the synthesis, analysis, simulation, and optimization stages of microwave bandpass filter design, normally coordinated by hand across tools written in different languages, into one workflow. A deployed Model Context Protocol (MCP) server exposes deterministic Python implementations of coupling-matrix synthesis, uniform predistortion, topology reconfiguration, a genetic-algorithm transmission-zero selector, a mode-matching engine for H-plane iris-coupled rectangular waveguide geometries, and a skill that generates PyAEDT/HFSS notebooks for various dimensioning design-curves. A language-model orchestrator turns natural-language requests into typed tool calls, while every reported quantity stays inside the deterministic kernels, so the numerics remain reproducible and model-agnostic. We evaluate the call layer on a 45-task benchmark across the five tool categories: gemini-3-flash reaches $96.3\%$ tool-selection and $94.8\%$ full-call accuracy with an $88.9\%$ pass${}^3$ rate, which an ablation traces to the curated tool-selection prompt rather than to raw model capability. The mode-matching engine is validated against full-wave HFSS on a six-pole 4 GHz Chebyshev filter tuned from the chat panel, and on an 8 GHz WR-112 counterpart taken end-to-end with no engineer in the loop, where a deterministic critique gates each round until a manufacturable geometry is reached. We then exercise the full workflow on two folded six-pole WR-90 cross-coupled filters at $10\mathrm{GHz}$, a high-selectivity design synthesized against a stop-band mask and a group-delay-equalized variant whose positive cross-coupling uses a pair of side-wall irises, the latter settling to a peak-to-peak in-band group-delay ripple below $1.5\mathrm{ns}$ while recovering the synthesized return loss. Full article

Friction stir welding (FSW) began as a fairly specialized joining method, but over the past three decades it has evolved into something considerably more versatile, a manufacturing platform that now handles complex multi-material assemblies and solid-state additive processes with reasonable reliability. This review follows this evolution, paying particular attention to friction stir additive manufacturing (FSAM) and the persistent difficulties that arise when joining dissimilar systems, such as aluminum to steel or metals to polymers, where the fate of the joint is largely decided by how well the intermetallic compounds are kept under control. Machine learning, artificial intelligence, and high-fidelity numerical models are reducing the reliance on trial-and-error that once dominated parameter selection and defect prediction, bringing FSW closer to the operating principles of Industry 4.0. Hybrid variants, including ultrasonically assisted and underwater FSW, also receive attention here, as they offer researchers finer control over heat generation and plastic flow than the standard process allows. Throughout the study, microstructural observations are directly connected to mechanical results, with the aim of analyzing the current state of solid-state manufacturing and identifying the questions that most urgently need answering. Full article

Metastasis, the primary cause of cancer mortality, relies on malignant cells acquiring extreme mobility and mechanical plasticity. We posit that this physical transition is driven not by de novo genetic innovations but by an atavistic reversion to highly conserved cytoskeletal blueprints, termed “Fungal Islands.” Through in silico sequence alignments and molecular docking, we investigated structural homology between human septin-9 (SEPT9) and its yeast ortholog, Cdc3. Our analysis reveals structural and thermodynamic parity within the G1/P-loop catalytic core across billions of years of eukaryotic divergence. This precise preservation of spatial configuration provides strong evidence against convergent evolution, demonstrating the core septin engine is constrained by intense purifying selection. Consequently, we argue that malignant cells exapt these functionally immutable ancestral nodes to drive a biomechanical shift, mirroring the invasive mechanics of fungal hyphal tips. This identifies a non-mutating structural template for next-generation ‘migrastatic’ therapies, offering a strategy to disable cancer’s migratory machinery while evading the mutational resistance typical of modern kinase inhibitors. Full article

This paper presents a further step in the development of scale invariant fully conformal cosmology (FCC), formulated in our previous study. Whereas the previous paper focused mainly on the global cosmological consequences of the fully conformal metric and their confrontation with selected astrophysical data, here we analyze its local gravitational and background consequences. On the background of the fully conformal metric we formulate an effective generalization of the weak Schwarzschild field in the corresponding FCC global coordinates and derive from it the associated modified intensity of the Newtonian central field. We further derive the cosmological state/constitutive equation p = − ε/3 as a direct consequence of the fully conformal metric rather than as an ad hoc additional postulate. Likewise, within the fully conformal metric, spatial flatness and the critical density ρ_crit are understood as direct consequences of this metric structure rather than as independently postulated inputs. From the condition of global equilibrium between negative cosmological pressure and the gravitational cohesive pressure of homogeneously distributed matter, the effective particulate fraction is obtained as β ≈ 0.45 of the total critical density ρ_crit. For the relatively well-confirmed baryonic matter fraction ${\overline{\mathrm{\Omega }}}^{bar} \approx 0.05$, this stable-equilibrium condition then leads to the corresponding particulate fraction of collisionless dark matter ${\overline{\mathrm{\Omega }}}_{FCC}^{dm} \approx 0.40$, which is in principle determined by the global cosmological equilibrium within this framework. Because direct identification of the entire dark fraction with standard collisionless cold dark matter would very probably be incompatible with the main structural observables, we discuss an effective phenomenological decomposition into a structuring cold dark matter component (cdm) and an almost homogeneous residual warm-dark-matter-like component (wdm). In this interpretation, the paper preserves the previously introduced global FCC framework while simultaneously providing a concrete background prediction for the matter content and a physically motivated basis for further testing of structure formation within scale invariant fully conformal cosmology. Full article

The Engineering-Procurement-Construction (EPC) general contracting model has emerged as the dominant delivery method for large-scale infrastructure and industrial projects in China. However, contemporary EPC project cost control remains plagued by critical industry challenges, including fragmented cross-stage coordination, pervasive data silos, and the shallow integration of digital technologies into core management processes. This study considers three key stakeholders—government regulators, project owners, and EPC general contractors—and develops a tripartite evolutionary game model to analyze the strategic interactions underlying intelligent cost control in EPC projects. We examine the evolutionary stability of each stakeholder’s strategy selection, explore how various factors influence tripartite strategic choices, and further investigate the stability of equilibrium points in the game system. The key findings are summarized as follows: (1) Strengthening government incentives and penalties simultaneously promotes owners’ investment in intelligent cost control systems and general contractors’ active collaborative cost management. However, excessive incentive intensity undermines the government’s regulatory effectiveness. (2) Establishing a revenue-sharing mechanism for excess cost savings fully stimulates the spontaneous cooperation willingness of owners and general contractors, serving as the cornerstone for market-oriented operation of intelligent cost control. (3) Reducing owners’ intelligent construction investment costs and general contractors’ collaborative control costs effectively addresses practical implementation barriers and accelerates the digital upgrading of engineering cost management. Finally, numerical simulations are performed using MATLAB R2020b to validate theoretical findings. Full article

Papillary thyroid carcinoma (PTC) is among the most common endocrine malignancies worldwide, and although generally associated with a favorable prognosis, a subset of patients develops aggressive disease with higher recurrence risk. This highlights the need for improved molecular characterization. Data integration approaches combined with computational methods offer new opportunities to refine diagnosis and uncover disease mechanisms. This study aims to integrate omics data and apply machine learning (ML) to identify clinically relevant biomarkers in papillary thyroid carcinoma. We selected 11 genes from the differentially expressed genes (DEGs)–LASSO intersection approach. Genes were validated using an independent external dataset (AUC = 91%, Sens. = 92%, Spec. = 97%, and Acc. = 95%). DEGs were integrated with metabolomics data from the literature, enabling the construction of a metabolite–gene interaction network, highlighting norepinephrine, arachidonic acid, and glutamic acid as representative metabolites, while the main genes were SLC6A14, ADK, ATIC, NT5E, and AR. We identified potential drug–gene interactions and performed survival analysis to assess the relevance of the possible biomarkers. This novel pipeline combining integration and machine learning provides new insights into thyroid cancer biology and identifies promising diagnostic markers, supporting advances in precision medicine. Full article

Background and Objectives: Elderly patients with head and neck tumours frequently present with multiple comorbidities and a potentially difficult airway, making general anaesthesia high-risk. Dexmedetomidine, a selective alpha-2 adrenoceptor agonist, provides conscious sedation without clinically significant respiratory depression, offering a compelling locoregional alternative. This study evaluated the haemodynamic profile, sedation kinetics, and satisfaction outcomes of a standardised dexmedetomidine-based protocol for head and neck surgery under local infiltration anaesthesia. Materials and Methods: A prospective, single-centre observational study was conducted at the University Hospital Centre Zagreb. Twenty-three consecutive adult patients received a continuous dexmedetomidine infusion at 0.5 μg/kg/h, initiated preoperatively in the post-anaesthesia care unit without a loading dose. Haemodynamic parameters, sedation-to-incision interval, cumulative dose, and postoperative patient and surgeon satisfaction (NRS 1–10) were recorded. Spearman rank-order correlation and the Mann–Whitney U test were used for statistical analysis. Results: The primary outcome of haemodynamic stability—defined as the absence of vasoactive or inotropic rescue—was achieved in all 23 patients (100%). The median cumulative dexmedetomidine dose was 52 μg (IQR 44–68 μg). Controlled hypotension was achieved in all patients, with a median nadir systolic blood pressure of 98 mmHg. Supplemental oxygen was required in only 2 of 23 patients (8.7%). Patient and surgeon satisfaction reached a median NRS score of 10 in both groups. The sedation-to-incision interval correlated with total drug dose (ρ = 0.74, p < 0.001), consistent with fixed-rate infusion pharmacokinetics. Hypertensive patients exhibited a greater reduction in systolic blood pressure (median 45 vs. 28 mmHg; p = 0.015). Conclusions: A fixed-rate dexmedetomidine infusion initiated in the post-anaesthesia care unit provides a feasible and potentially effective conscious sedation strategy for head and neck surgery under local infiltration anaesthesia in selected elderly and comorbid patients. In this pilot series, the protocol was associated with haemodynamic stability in all cases, low supplemental oxygen requirements, and high procedural satisfaction among both patients and surgeons. These findings are preliminary and require confirmation in larger, controlled studies. Full article