Search Results (5,726)

The accurate recognition of cattle behaviours is crucial for improving animal welfare and production efficiency in precision livestock farming. However, existing methods pay limited attention to recognising behaviours under occlusion or those involving subtle interactions between cattle and environmental objects in group farming scenarios. To address this limitation, we propose a novel spatio-temporal feature extraction network that explicitly models the associative relationships between key body parts of cattle and environmental factors, thereby enabling precise behaviour recognition. Specifically, the proposed approach first employs a spatio-temporal perception network to extract discriminative motion features of key body parts. Subsequently, a spatio-temporal relation integration module with metric learning is introduced to adaptively quantify the association strength between cattle features and environmental elements. Finally, a spatio-temporal enhancement network is utilised to further optimise the learned interaction representations. Experimental results on a public cattle behaviour dataset demonstrate that our method achieves a state-of-the-art mean average precision (mAP) of 87.19%, outperforming the advanced SlowFast model by 6.01 percentage points. Ablation studies further confirm the synergistic effectiveness of each module, particularly in recognising behaviours that rely on environmental interactions, such as drinking and grooming. This study provides a practical and reliable solution for intelligent cattle behaviour monitoring and highlights the significance of relational reasoning in understanding animal behaviours within complex environments. Full article

Background: The influence of digital media on public perception of sexual health is significant and relates to its effects on knowledge, attitudes, and behaviors. Motion graphics and animation represent a novel innovation in health-related communication. The visual attractiveness and adaptability to cultural issues offer an alternative means of conveying often sensitive issues. This systematic review aimed to provide an overview of their efficacy in delivering sexual health messages and to identify the components contributing to success. Methods: A literature search was conducted using Scopus, MEDLINE (via PubMed), and DOAJ, covering studies from inception to 31 August 2025. All eligible studies included randomized controlled trials, quasi-experimental studies, and other evaluations, which were synthesized by outcomes related to knowledge, attitudes, behaviors, intentions, and/or psychosocial well-being. The study was pre-registered on the INPLASY platform (INPLASY202580073). Results: Eleven studies published between the years 1989 and 2025 met the inclusion criteria. The majority reported improvements in sexual health knowledge and attitudes, and several studies also demonstrated improved behaviors and psychosocial well-being. Factors that contributed to interventions that have been successful were cultural adaptation, being based on theory, and presentation over time. Conclusions: Motion graphics and animation, therefore, represent an exciting means of sexual health promotion and stigma reduction. Future studies should therefore focus on the determination of standardized formats for media presentations, the evaluation of long-term effects, and the evaluation of cost–benefit to enhance the effectiveness of media communication in health promotion. Full article

Per and polyfluoroalkyl substances (PFAS) are a class of synthetic, persistent environmental pollutants detected in biological systems and increasingly recognized for their harmful effects on human health. The liver, being a central organ in the metabolism of xenobiotics, is profoundly affected by these compounds and is a main target of PFAS-induced toxicity. The purpose of the present Scoping Review is to investigate the multiple and complex mechanisms behind PFAS hepatotoxicity, taking into consideration evidence from preclinical in vivo models. Using electronic databases (PubMed and Google Scholar), a total of 38 studies were found eligible to be extensively explored to gather information regarding PFAS toxicity toward hepatic lipid metabolism, oxidative stress, injury and inflammation. Moreover, the parental exposure of these chemicals on the offspring will be discussed as well. As illustrated in the proposed graphical abstract, PFAS exposure has been linked to the triggering of oxidative stress phenomena, mitochondrial dysfunction and hepatic inflammatory infiltrate with sex specific effects in rodents. The predominant effects manifest as the overproduction of reactive oxygen species (ROS), the disruption of hepatic lipid metabolism, and the activation of several nuclear transcription factors involved in lipid regulation, with PPAR-α being the most prominent. Considering their strong bioaccumulative properties and persistence in both the environment and the human body, legacy and emerging PFAS should be regarded as potent toxicants with a distinctive role in the onset of metabolic diseases and as a pressing issue to be addressed within regulatory policies. Full article

The safety of animal-related agricultural products has been a hot issue. To obtain a multi-feature representation of porcine bodies for detecting their health, visible and infrared imaging is valuable for exploiting multiple images of a porcine body from different modalities. However, the direct registration of visible and infrared porcine body images can easily cause the dislocation of structural information and spatial position, due to different resolutions and spectrums of multi-source images. To overcome the problem, a novel multi-source image feature representation method based on contour angle orientation is proposed and named Gabor-Ordinal-based Contour Angle Orientation (GOCAO). Moreover, a visible and infrared porcine body image registration method is described and named GOCAO-Rough to Fine (GOCAO-R2F). First, contour and texture features of the porcine body are acquired using a Gabor filter with variable scales and an ordinal operation. Second, feature points in contours are obtained by curvature scale space (CSS), and the main orientation of each feature point is determined by GOCAO. Third, modified scale-invariant feature transform (MSIFT) features are received on the main orientation and registered with bilateral matching. Finally, accurate registrations are extracted by R2F. Experimental results show that the proposed registration algorithm accurately matches multi-source images for porcine body multi-feature detection and is capable of achieving lower average root-mean-square error than current registration algorithms. Full article

Duck viral hepatitis (DVH), a highly contagious disease, is caused primarily by duck hepatitis A virus (DHAV). The viral genotypes exhibit significant diversity, creating a challenge as monovalent vaccines fail to provide cross-genotype protection in ducklings. This study aimed to design a multi-epitope peptide vaccine targeting different genotypes of DHAV. Using immunoinformatics approaches, we systematically identified key antigenic determinants, including linear B-cell epitopes, cytotoxic T-cell epitopes (CTL), and helper T-cell epitopes (HTL). Based on these, a novel vaccine candidate was developed. The vaccine construct was subjected to rigorous computational validation: (1) Molecular docking with Toll-like receptors (TLRs) predicted immune interaction potential. (2) Molecular dynamics simulations assessed complex stability. (3) In silico cloning ensured prokaryotic expression feasibility. Then, we conducted preliminary experimental validation for the actual effect of the vaccine candidate, including recombinant protein expression in E. coli, enzyme-linked immunosorbent assay (ELISA) quantification of humoral responses, and Western blot analysis of cross-reactivity. ELISA results demonstrated that the vaccine candidate could induce high-titer antibodies in immunized animals, with potency reaching up to 1:128,000, and the immune serum showed strong reactivity with recombinant VP proteins. Western blot analysis using duck sera confirmed epitope conservancy across genotypes. Collectively, the multi-epitope vaccine candidate developed in this study represents a highly promising broad-spectrum strategy against DHAV. The robust humoral immunity it elicits, coupled with its demonstrated cross-reactivity, constitutes compelling proof-of-concept, laying a solid foundation for advancing to subsequent challenge trials and translational applications. Full article

Transcranial magnetic stimulation (TMS) is a non-invasive neuromodulation technique extensively utilized in neuroscience and clinical medicine; however, its underlying mechanisms require further elucidation. Due to ethical safety considerations, low cost, and physiological similarities to humans, rodent models have become the primary subjects for TMS animal studies. Nevertheless, existing TMS coils designed for rodents face several limitations, including size constraints that complicate coil fabrication, insufficient stimulation intensity, suboptimal focality, and difficulty in adapting coils to practical experimental scenarios. Currently, many studies have attempted to address these issues through various methods, such as adding magnetic nanoparticles, constraining current distribution, and incorporating electric field shielding devices. Integrating the above methods, this study designs a small arc-shaped TMS coil for the frontoparietal region of rats using the inverse boundary element method, which reduces the coil’s interference with experimental observations. Compared with traditional geometrically scaled-down human coil circular and figure-of-eight coils, this coil achieves a 79.78% and 57.14% reduction in half-value volume, respectively, thus significantly improving the focusing of stimulation. Meanwhile, by adding current density constraints while minimizing the impact on the stimulation effect, the minimum wire spacing was increased from 0.39 mm to 1.02 mm, ensuring the feasibility of the coil winding. Finally, coil winding was completed using 0.05 mm × 120 Litz wire with a 3D-printed housing, which proves the practicality of the proposed design method. Full article

Andean berry (Vaccinium meridionale Swartz) is a species of berry mostly exclusive to the Andean ecosystems, mainly present in Colombia, Venezuela, Peru, and Jamaica, where it grows between 2000 and 3000 m.a.s.l. Although most of the fruit is harvested naturally, limited fruit production significantly restricts large-scale farming and sales. Most research on phytochemicals from this berry has focused on polyphenolic compounds, particularly anthocyanins such as cyanidin-3-O-galactoside and delphinidin-3-O-hexoside. These compounds have significant antioxidant potential and require appropriate post-harvest handling to preserve their stability and biological functionality. A systematic literature search was conducted covering studies from January 2000 to January 2025 across Scopus, PubMed, Web of Science, and Google Scholar. Evidence from original research includes chemical analyses, in vitro biological activity, in vivo effects in animal models, and clinical studies. Although findings suggest antiproliferative, chemoprotective, and cardioprotective properties, current evidence remains largely preclinical, and clinical validation is urgently needed. Despite its promise, challenges persist in standardizing cultivation, scaling production, and optimizing post-harvest. The berry has been incorporated into food products, but further research is essential to support its transition from experimental use to validated clinical applications. Full article

Enterococcus faecalis (E. faecalis) is a significant zoonotic pathogen, primarily causing opportunistic infections in humans while often existing as a commensal in animal reservoirs, facilitating its dissemination. Current understanding of the resistance profiles, virulence mechanisms, and host–pathogen interactions of E. faecalis from ruminants, particularly unique species such as the plateau yak, remains limited. This knowledge gap hinders the accurate assessment of their transmission risk and the development of effective control strategies. This study presents a comprehensive analysis of a multidrug-resistant E. faecalis isolate from yak feces, integrating whole-genome sequencing (WGS), an animal challenge model, and transcriptomic profiling. Antimicrobial susceptibility testing revealed resistance to β-lactams, aminoglycosides, glycopeptides, tetracyclines, and fluoroquinolones. WGS identified numerous resistance genes (e.g., parC, gyrA, rpoB) and virulence-associated genes (e.g., prgB/asc10, cpsA/uppS). Phylogenetic analysis indicated a close relationship with a human urinary tract isolate (ASM3679337v1). Mouse challenge experiments demonstrated that this strain induced significant intestinal histopathological damage. A subsequent transcriptomic analysis of infected tissues identified the differential activation of key signaling pathways, including NF-κB and MAPK. Our findings provide crucial insights into the resistance and pathogenic mechanisms of ruminant-derived E. faecalis and establish an experimental foundation for optimizing clinical antimicrobial therapy against such strains. Full article

Polycystic ovary syndrome (PCOS) is a complex disorder characterized by reproductive abnormalities such as hyperandrogenism, ovulatory dysfunction, and polycystic ovarian morphology, and is frequently accompanied by metabolic disturbances such as insulin resistance, obesity and dyslipidemia. Genome-wide association studies (GWASs) have identified several susceptibility loci, yet little is known about their functional implications. Clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (CRISPR/Cas9) has emerged as a powerful gene editing tool in bridging this gap by allowing researchers to directly target candidate genes in ovarian and metabolic pathways. For instance, experimental models have highlighted the role of CYP17A1 and DENND1A.V2 in androgen excess, anti-Müllerian hormone (AMH) in follicular arrest, and insulin receptor substrate 1 (IRS1) and PPARγ in insulin signaling and adipogenesis. To highlight the multifactorial nature of PCOS, animal models, including zebrafish and rodents, have been used to reveal interactions between reproductive and metabolic phenotypes. Nevertheless, most studies remain restricted to single-gene models, and dual-gene models or combined gene editing and hormonal induction models remain underexplored. Future research integrating precision editing, multi-omic platforms, and patient-derived organoids may provide more accurate disease models and novel therapeutic strategies. Full article

Background: Exercise therapy is essential in managing rotator cuff-related shoulder pain. Multimedia tools may enhance adherence and engagement, but their added value over traditional materials remains uncertain. Objective: To compare an exercise program delivered through paper-based materials with or without addition of multimedia animations in individuals with rotator cuff-related shoulder pain. Method: A single-center open-label randomized clinical trial was conducted in [Blinded] between April 2023 and December 2024 Patients with rotator cuff-related shoulder pain were included. Both groups received seven face-to-face exercise sessions with a physical therapist and were randomized into receiving or not multimedia animations. The main outcome measure was Shoulder Pain and Disability Index at 6-week follow-up. Other outcomes were pain intensity (rest, during movement and at night), patients’ satisfaction, perceived improvement and expectations and patients’ adherence to the exercise program. Furthermore, patients’ perceived usability, usefulness and satisfaction with multimedia animations were also measured. Subjects were followed for 24 weeks. Adequate multilevel regression models were implemented. Results: A total of 154 subjects were included (80 in the control group and 74 in the experimental group). Both groups improved over time, but there were no significant between-group differences regarding Shoulder Pain and Disability Index, pain intensity, patients’ satisfaction, perceived improvement or expectations. Subjects showed a decrease in adherence to exercise over time, without significant between-group differences. Conclusions: The implementation of multimedia animations may not provide additional benefits when a well-designed paper-based program and therapist support are already established. Full article

Anxiety disorders are among the most prevalent mental health conditions worldwide, yet their assessment and treatment have long been limited by insufficient validity. To address this challenge, researchers have increasingly sought to translate approach–avoidance conflict paradigms from animal models into human experimental tasks. This review synthesizes the translational practices of four classic paradigms, namely the conditioned conflict paradigm, the open-field test, the Morris water maze, and the elevated plus maze, and introduces a “three-level, five-dimension” evaluation framework. The framework encompasses experimental design (reproducibility and operability), construct measurement (construct validity), and applied functionality (predictive and discriminant validity). Evaluation of existing studies indicates that human translational paradigms are generally feasible, showing strengths in operability and reproducibility. These paradigms reveal behavioral patterns consistent with animal anxiety models, underscoring their translational potential. However, evidence remains largely limited to behavioral indices, with little integration of subjective, physiological, or neural measures. Predictive validity is scarcely tested, and discriminant validity is confined to broad group differences rather than clinical subtypes. Current human translational paradigms provide a useful starting point but fall short of capturing the complexity of human anxiety. Future research should strengthen ecological validity, incorporate multimodal indicators, and expand testing in clinical populations to enhance predictive and discriminant validity. Such efforts are essential for advancing these paradigms toward dynamic tracking and individualized applications in both research and clinical contexts. Full article

Colorectal cancer (CRC) is the third most common cancer worldwide, imposing a significant burden on public health. Despite the use of various therapeutic strategies, the prognosis for patients with metastatic and drug-resistant CRC remains poor, which underscores the need for further investigations into cancer mechanisms to develop more effective treatments. Rodents, particularly mice, are the most frequently used animal models for CRC research. However, as the demand for more precise simulations and higher ethical standards in animal experimentation grows, the applicability of rodent models may face increasing limitations. This review highlights a variety of non-rodent animals, including model organisms such as zebrafish (Danio rerio), fruit flies (Drosophila melanogaster), and Caenorhabditis elegans (C. elegans), as well as the chorioallantoic membrane (CAM) model and mammals such as rabbits (Oryctolagus cuniculus), dogs (Canis lupus familiaris), and pigs (Sus scrofa domesticus), which have been utilized in CRC research. Each of these alternatives offers specific advantages in certain areas of cancer research. Their use has enabled new insights into the mechanisms of carcinogenesis, metastasis, and drug resistance in CRC, as well as the development of novel therapies. Full article

Age-related macular degeneration (AMD) is a leading cause of irreversible central vision loss. Its pathogenesis is complex and multifactorial, involving genetic predisposition, inflammation, oxidative stress, and environmental influences, which underscores the need to better understand biomarkers associated with the disease. This review provides a comprehensive translational overview of biomarkers linked to both dry and wet forms of AMD by integrating findings from human studies and preclinical mouse models, including chemical, genetic, and laser-induced paradigms. It outlines key tissue, fluid, and systemic biomarkers related to oxidative stress, inflammation, complement activation, extracellular matrix remodeling, angiogenesis, and gut microbiota alterations. The main findings highlight similarities and differences between human AMD and animal models, identify challenges in biomarker validation, and emphasize the potential of combining biomarker profiles from ocular tissues, blood, tear fluid, aqueous and vitreous humor, and gut microbiome samples to improve early diagnosis, therapeutic monitoring, and personalized treatment strategies. These insights suggest that integrating experimental and clinical biomarker data could advance precision medicine in AMD, facilitating better early detection and individualized therapies. Future research should aim to bridge these datasets to optimize biomarker-driven approaches for AMD management. Full article

The design, control, simulation and animation of robotic systems heavily depend on dynamic modeling. A variety of studies have explored different dynamic modeling methodologies applied to diverse robotic mechanisms. Artificial neural networks (ANNs) have proven their value in engineering design in recent years, enhancing the understanding of complex mechanisms as well as shortening experimental periods and decreasing related expenses. This study investigates the application of various neural network algorithms for the analysis of a custom-designed three-link planar revolute–prismatic–revolute (RPR) robotic arm mechanism. Initially, the Euler–Lagrange equations of motion for the RPR mechanism are derived. Joint accelerations are then computed under different mass configurations of the robotic links, resulting in a dataset comprising 204 joint acceleration samples. Six distinct neural network models are subsequently employed to perform regression analysis on the collected data. The primary objective of this study is to analyze the relationship between joint accelerations and varying link masses under constant joint torques and forces, while its secondary aim is to present a representative application of neural networks as regression learners for the dynamic modeling of robotic mechanisms. The approach outlined in this study allows users to select appropriate neural network algorithms for use in specific applications, considering the wide range of available algorithms. Link mass variations and their effects on joint accelerations are investigated, establishing a basis for the modeling of robotic dynamics using regression-based neural networks. The results indicate that the optimizable neural network algorithm produces the best regression accuracy results, although the other models maintain similar performance levels. Full article

Purpose: As animal welfare becomes increasingly important, there is a corresponding desire to reduce the number of animals used in experiments. Recently, we reported on statistical models for a local anaesthetic simulator and developed a simulator for use in pharmacology education. In this study, we aimed to create a simulator for bioassay. Methods: Mice were intraperitoneally injected with a set concentration of lidocaine, and the time to the onset of convulsions or death was measured. Judgment times were set at 10 s intervals from 3 to 10 min. Parameter values were estimated by probit analysis based on the presence or absence of a reaction at each judgment time. The distributions and 95% confidence intervals (CI) of the estimated parameter values were confirmed using a nonparametric bootstrap method. Additionally, the generalization performance of the statistical model was confirmed using a five-fold cross-validation method. Monte Carlo simulations were performed using the estimated parameters from this model, and the average and distribution of the toxic dose 50% (TD₅₀) and lethal dose 50% (LD₅₀) were compared to those obtained from the animal experiments. Results: The parameters were properly estimated at each judgment time, and their 95% CIs were relatively narrow. The TD₅₀ and LD₅₀ values were similar across the five folds. Monte Carlo simulations demonstrated that the average and distribution of TD₅₀ and LD₅₀ were comparable to those obtained from animal experiments. Conclusions: These results suggest that a simulator based on this model is useful as an alternative to animal experiments. Therefore, our strategy will further reduce the number of experimental animals. Moreover, the method used in this study can be applied to other experiments that measure reaction time from treatment. Full article