Search Results (355)

The automatic extraction of seismic reflection events is fundamental to seismic interpretation and structural identification in oil and gas exploration, particularly for large-scale regional surveys and preliminary basin-scale assessments. Although the B-COSFIRE (Bar-Combination of Shifted Filter Responses) method has demonstrated strong capability in detecting ridge-like structures, its application in large-scale seismic processing is limited by high computational cost and complex filter bank configuration. Conventional edge detectors such as the Canny operator are computationally efficient but often produce fragmented and noise-sensitive results in low signal-to-noise ratio (SNR) seismic data because they rely solely on local gradient information and ignore the spatial continuity of geological horizons. To overcome these limitations, this study proposes a lightweight and computationally efficient framework for rapid seismic event extraction. The method simplifies the B-COSFIRE architecture by replacing its configurable filter bank with a Difference-of-Gaussian (DoG) operator, which enhances ridge-like reflection features while suppressing background interference through a center–surround mechanism. Furthermore, a Spatial Consistency Constraint (SCC) module is introduced to enforce lateral continuity using directional morphological closing operations. This strategy reconstructs disrupted reflection segments and converts isolated detection responses into spatially coherent linear structures. Adaptive thresholding and skeletonization are then applied to obtain single-pixel-wide reflection contours suitable for geological interpretation and regional structural analysis. The proposed method was evaluated using both synthetic seismic models (Ricker wavelet convolution with Gaussian noise, σ = 0.15) and real post-stack seismic profiles characterized by low SNR conditions. Experimental results demonstrate that the proposed method achieves a Precision of 0.9527, Recall of 1.0000, and F1-score of 0.9758 on synthetic data, outperforming both the standard Canny detector (F1: 0.8972) and B-COSFIRE (F1: 0.7311). The Continuity Index reaches 261.00 pixels, substantially higher than Canny (223.67 pixels) and B-COSFIRE (66.86 pixels). Notably, B-COSFIRE exhibits a severely imbalanced detection profile (Precision: 0.5762, Recall: 1.000), indicating excessive false positives that undermine its practical utility. The proposed method additionally achieves the lowest runtime (0.024 s per profile), representing a 44× speedup over B-COSFIRE (1.039 s), while requiring no training data. Overall, the proposed framework provides a practical and efficient solution for automated seismic event extraction. With only a small number of geologically interpretable parameters and strong robustness across different datasets, the method is well-suited for large-scale seismic data processing and preliminary structural assessment in underexplored regions, enabling rapid first-pass evaluation of extensive survey areas before detailed interpretation and reservoir characterization. These characteristics make the method particularly suitable for computer-assisted interpretation workflows in industrial oil and gas exploration. Unlike prior approaches that treat seismic event extraction as a generic edge detection problem, the proposed framework explicitly encodes geological prior knowledge—specifically, the lateral continuity of stratigraphic interfaces—as a morphological constraint, bridging the gap between image processing methodology and geophysical interpretation requirements. Full article

This study aimed to evaluate the trends in physiological and metabolic parameters—such as heart rate (HR), respiratory rate (RR), hematological parameters, blood lactate, and serum enzymes (LDH, AST, and CK)—in seven regularly trained working dogs during the protection phase of the IGP1 Working Trial. HR and RR measurements, along with blood samples, were collected at rest (upon arrival at the field), immediately after exercise, and 10 min post-exercise. Statistical analysis revealed significantly higher HR, RR, RBC, hemoglobin (Hb), hematocrit (Hct), and blood lactate values both immediately and 10 min after exercise compared to rest. Creatine kinase (CK) concentrations were significantly higher 10 min post-exercise compared to rest and immediately after exercise. Additionally, a positive correlation was found between blood lactate levels and HR and RR throughout the monitoring period. Preliminarily, these findings suggest that the protection phase of the IGP1 trial involves a mixed energy metabolism, comprising both anaerobic (alactic and lactic) and aerobic pathways. The results also highlight the usefulness of blood lactate and heart rate measurements as practical indicators for assessing fitness and physiological response in working dogs during IGP1 activities. Full article

Animal-Assisted Services (AASs) are increasingly used in therapeutic, educational, and supportive contexts, raising growing concern for the welfare of the dogs involved. This study assessed dogs’ affective states during AAS sessions by establishing expert-derived behavioural thresholds and comparing these with field observations. Thirteen experts in canine behaviour, health, welfare, and AAS evaluated 19 behaviours across 11 fictional scenarios using an absolute scoring approach. Expert ratings were used to derive lower and upper frequency thresholds distinguishing excellent, neutral, and unacceptable welfare for behaviours associated with positive- or negative-affective states. Field data were collected over a two-month period from 837 AAS sessions involving 63 dogs, scored by trained professionals using the same ethogram. Stress-related behaviours were generally within the expert-defined acceptable ranges, although some dogs exceeded the upper thresholds for behaviours such as low posture or sniffing. In contrast, positive-affective behaviours—including play, voluntary lying down, and broad tail wagging—were observed infrequently and often fell below the expert-defined minimum thresholds. These findings suggest that while overt stress indicators are largely managed in AAS practice, opportunities for dogs to express positive-affective states may be limited. Integrating expert-derived behavioural thresholds into welfare monitoring may support evidence-based standards and safeguard canine welfare in AASs. Full article

Animal-assisted services (AAS) involve providers working in partnership with specially trained animals to deliver therapeutic, educational, and supportive benefits that promote human well-being. Although research shows dog-assisted AAS benefits recipients, little is known about handlers’ motivations and how this work impacts handlers and their dogs. This study explores why individuals engage in AAS with their dogs and the relational benefits and challenges involved. A convenience sample of adult AAS handlers was recruited through various organizations via newsletters and social media. Participants (N = 247), predominantly older, white, and highly educated women, responded to three open-ended survey questions. Data were analyzed using reflexive thematic analysis, which revealed several interconnected themes. Handlers described profound joy, pride, and purpose derived from sharing their dogs with others, and an enhanced capacity to support recipients. Participants reported using AAS to augment professional roles, to pay forward acts of kindness, and to enrich their dogs through social interaction. While overwhelmingly meaningful, this work also involves challenges, underscoring the need for organizational support for AAS teams. Training programs should equip handlers to recognize signs of animal stress, navigate demanding contexts, and engage in proactive conversations about rest, retirement, and loss. Normalizing these experiences may promote handler well-being and sustain ethical, relationship-centered AAS practice. Full article

Animal-Assisted Services (AAS), together with art therapy, represent an innovative resource in prisons, promoting the emotional and relational well-being of inmates. This pilot study evaluated the effectiveness of an integrated protocol of Animal-Assisted Services and art therapy, with a focus on the selection and monitoring of dogs included in AAS. Forty-two male inmates from a prison in southern Italy were involved. The year-long intervention included weekly group activities with three trained AAS dogs chosen by their personality profiles. The dogs’ well-being was monitored at the beginning, midpoint, and end of the program; data was also collected on the occurrence of critical events for the inmates. The results showed that the dogs maintained a stable profile of psychological and physical well-being and good behavioral regulation, while the inmates showed a significant reduction in critical events. In conclusion, the integrated approach tested, based on the careful selection of dogs, activities tailored to the needs of inmates, and continuous monitoring, proved effective in ensuring animal well-being and promoting improvement in prison conditions. Full article

In the field of intelligent inspection, high-definition video data collected by quadruped robot dogs face severe transmission and storage constraints. Although existing advanced lossy video coding standards can significantly improve compression efficiency, they inevitably introduce severe compression artifacts in low-bit-rate scenarios. To address this issue, this paper proposes a video decoding quality enhancement network named Video Quality Restoration Network (VQRNet), based on a dual-stream architecture. Specifically, the Local Feature Extraction component incorporates a Progressive Feature Fusion Module (PFFM) with a four-stage progressive structure. By integrating reparameterized convolution and attention mechanisms, PFFM focuses on capturing high-frequency texture details to repair small-scale distortions. Simultaneously, the Multi-Scale Lightweight Spatial Attention Module (MLSA) performs spatial feature recalibration, leveraging multi-scale convolution to adaptively identify and enhance key spatial regions, specifically addressing multi-scale distortion. In the Global Feature Extraction component, the State-Space Attention Module (SSAM) combines State-Space Models (SSMs) with attention mechanisms to capture long-range dependencies and contextual information, for large-scale distortions caused by high-intensity compression. To verify the performance of the proposed algorithm, a dedicated dataset comprising 20 real-world video sequences captured by quadruped robot dogs (partitioned into 15 training and 5 testing sequences) was constructed, and the VTM 23.4 reference software was employed to simulate compression degradation using four quantization parameters (QP 30, 35, 40, and 45). Experimental results demonstrate that VQRNet outperforms state-of-the-art quality enhancement methods in terms of core metrics, including PSNR and SSIM, specifically including MIRNet, NAFNet, TRRHA, and CTNet. In the QP = 30 scenario, VQRNet achieves an average PSNR of 40.33 dB, a significant improvement of 3.32 dB over the VTM 23.4 baseline (37.01 dB), while demonstrating significant advantages in computational complexity and parameter efficiency—requiring only 5.27 G FLOPs and 1.40 M parameters, with an average inference latency of only 11.82 ms per 128 × 128 patch. This work provides robust technical support for the efficient video perception of quadruped robot dogs. Full article

Dogs exhibit sophisticated interspecific communication skills, including the use of visual signals to indicate the location of inaccessible resources, known as showing behaviour. Previous studies have investigated factors such as age and training, but the effects of breed and cranial morphology remain unclear. Here, we tested a uniquely large sample of 101 pet dogs from 43 different breeds, using a standardized out-of-reach/hidden object task to assess three key visual behaviours: gaze at the owner, gaze at the reward, and gaze alternation between owner and reward. Dogs were tested in familiar environments without pre-training, and owners were instructed to remain passive to avoid unintentional cues. Our results confirm the importance of gaze alternation and gazing at the reward as central components of showing behaviour, particularly when both owner and reward were present. Contrary to expectations, we found no effect of breed or Cephalic Index on these behavioural patterns, suggesting that life experiences rather than artificial selection can influence visual communicative strategies in this specific context. The exceptionally large and diversified sample of this study provides unprecedented insight into the consistency of visual signalling across dog breeds. Full article

Children diagnosed with autism face many barriers to learning. Animal Assisted Services and Interventions (AAS/AAI) have been adopted to support children within schools. The Dog Mentor is a UK-based organisation that provides training for handlers and assesses dogs to be integrated within schools. It adopts a rigorous and continuous training package and ensures the safety and welfare of all involved by adopting a whole school approach. This research uses content analysis to understand the types of activities and outcomes in The Dog Mentor programme, as established by teachers and dog handlers, across 58 schools. Teachers and dog handlers perceived that The Dog Mentor successfully supported children with autism, using a variety of sessions. This variability is seen as a benefit as it enables the intervention to be tailored to meet the needs of the students. Handler-reported benefits include creating a calm environment, promoting engagement, and supporting learning. Improved self- and emotion regulation, mental health, and resilience were also noted by the handler reports. Future research needs to investigate these perceived benefits using quantitative data, as well as look into outcomes relating to the dogs supporting others with bereavement and trauma. This topic was briefly mentioned by two of the schools, but there was not enough data to understand the impact in depth. Full article

Wolves (Canis lupus) have recolonized Belgium after more than a century of absence, raising concerns about interactions with livestock in densely populated regions such as Flanders. Empirical field-based documentation of wolf behavior near protected livestock in such landscapes remains limited. This study presents a short-term, descriptive camera-trap case study documenting wolf presence near a temporary sheep pasture protected by electric fencing and livestock guardian dogs (LGDs). Nineteen camera traps monitored the pasture perimeter within a military training area in northeastern Flanders over a 16-day period in September 2023. Sheep were present for 11 days and accompanied by six LGDs. Twenty-three wolf images were recorded, corresponding to eight distinct detection events. Wolves were detected shortly after fence installation and following sheep removal. Occasional close approaches and fence inspection behavior were observed, but no fence crossings or predation events occurred. Most wolf detections occurred when sheep and LGDs were absent, although wolves were also recorded near periods of human activity. Given the observational design, causal inference is not possible. The study provides baseline documentation of wolf–livestock–LGD interactions in a densely populated European landscape. Full article

Volatile organic compounds (VOCs) are increasingly recognized as metabolic byproducts of viral infection and may serve as olfactory cues detectable by trained scent dogs. This study examined whether dogs could distinguish cell culture samples infected with murine hepatitis virus strain 1 (MHV-1), a biosafety level 2 coronavirus model, from uninfected controls. Parallel chemical analysis using gas chromatography–mass spectrometry (GC-MS) identified 14 VOCs in infected and 12 in control samples. Notably, 3-heptanone and 1-nonanol were unique to infected samples, while others such as acetophenone, nonanal, decanal, and benzaldehyde were significantly elevated—often by 1.5 to 3 times—in infected cultures. Two trained dogs demonstrated high detection sensitivity (0.95) for infected samples compared to a previously trained odor cinnamon group (0.88) and responded with shorter latency (p = 0.04), suggesting perceptual salience of infection-related VOCs. Reliable detection required pooled volumes (~600 µL), suggesting a threshold effect related to VOC concentration. Additionally, a Random Forest-based machine learning classifier trained on the GC-MS-obtained VOC profiles achieved a cross-validated accuracy of 0.82 (SD = 0.25). These findings suggest that dogs use quantitative VOC differences, rather than unique compounds, for detection. The study provides a validated experimental framework for olfactory diagnostics of viral infections and highlights the potential of scent dogs as non-invasive biosensors in both veterinary and public health contexts. Full article

Herding dogs play an important role in the management of herds of sheep and cattle, and their effectiveness depends on various genetic and environmental factors, and the choice of training method. The aim of this study is to explain how these factors determine the effectiveness of herding work, the level of stress and psychological comfort experienced by the dogs, as well as their physical health. The study also examines the choice of training method, the influence of socialisation and relationship with the handler, as well as the living conditions. Information on the welfare of herding dogs and the factors that influence this welfare were obtained based on a search of PubMed, Web of Science, Google Scholar and Scopus using defined keywords. Research indicates that positive reinforcement, early socialisation and trust-building with the handler increase performance, reduce behaviour indicative of any stress the dogs may be experiencing, and improve psychological wellbeing. Selective breeding has developed herding predispositions, including herding instinct and cognitive abilities, at the expense of predatory instinct. Understanding the genetic and environmental factors associated with wellbeing, and using ethical training methods benefits both dogs and livestock by allowing herding dogs to fully realise their natural behaviours. Full article

As the first domesticated species, dogs have been shaped by human needs, values, and social structures, resulting in culturally specific expectations of their behaviour. While much of the existing research on companion animal preferences (referred to as ideal traits) has focused on Western contexts, rapidly increasing companion dog populations in Eastern countries mean that preferences in diverse cultures are important to investigate. Considering owner satisfaction is influenced by the match between dogs’ traits and owners’ culturally specific ideals, understanding ideal dog traits may help minimise welfare concerns, including relinquishment and maltreatment of companion dogs. A sample of 312 Vietnamese adults (M age = 27.31, SD = 6.65) were recruited via convenience sampling through Facebook and Instagram. Participants completed translated versions of the 44-item Ideal Dog Scale. Exploratory factor analysis identified four dimensions of ideal dog traits in Vietnam: ‘Calmness’, ‘Energy/Capability’, ‘Affection/Health’, and ‘Cleanliness’. This differs from Australia, where the ideal dog is ‘calm/compliant’, ‘sociable/healthy’, ‘energetic/faithful/protective’, ‘socially acceptable’, and ‘non-aggressive’, and from Italy, where the ideal dog is ‘calm’, ‘sociable and healthy’, ‘well trained and adaptable’, ‘energetic’, and ‘easy to manage‘. For participants with a current dog, most owned a non-desexed, mixed breed male dog. This study deepens psychological insight into how socioecological contexts may shape perceptions of ideal companion animals. It also allows Vietnamese individuals to understand traits that would lead to the best dog–owner ‘match’, improving dog owner wellbeing and dog welfare. Full article

This study aimed to characterize hunting dog packs (rehalas) and identify management typologies within a Mediterranean mountain system (Sierra Morena region of Córdoba). An ethno-demographic survey was designed and completed by 30 breeders. Descriptive statistics were used for general characterization, while variability assessment and typology identification were performed using multiple correspondence analysis and hierarchical clustering. The typical dog pack breeder was a 48-year-old man with extensive experience (28.5 years) and basic formal education. Dog packs comprised an average of 51.9 dogs, predominantly of the Large-sized Podenco Andaluz breed, participating in approximately 40 hunting events per year. Feeding practices commonly combine commercial feed with supplementary food items. Health management included routine deworming every six months, and 43% of breeders reported concern about leishmaniasis. Training generally began at around 14.5 months of age and followed regular weekly routines. Ten factors explained 82.4% of the observed variability, allowing the identification of three typologies: traditional, pragmatic, and non-organized. These findings underline the cultural, genetic, and socio-ecological relevance of dog packs as working groups in Mediterranean rural systems. The long-term sustainability of these systems depends on reinforcing selective breeding, improving health management, and safeguarding traditional practices adapted to each identified typology. Full article

Kennel-raised dogs are exposed to more stressors and fewer positive experiences than dogs raised in homes. We created a Dog Socialization and Training class to enrich the environment of university teaching dogs. Undergraduate students (103 total) were assigned a dog (64 total) to socialize and train for at least 36 30 min periods across 12 weeks. Each student used a Qualitative Behavior Assessments (QBA) tool to score 20 different behaviors on a scale of 0 to 125 for his/her dog at the beginning (PRE) and the end (POST) of each of the nine semesters. The PRE QBA scores were high for the ten positive valence behaviors including Relaxed (mean ± SE: 75 ± 6) and low for the ten negative valence behaviors including Distressed (31 ± 3). Following the interactive experiences, QBA scores for all 20 behaviors appeared to improve from 9% to 53% (p < 0.006). Principal Component Analysis identified four dimensions in the QBA scores that were responsible for most of the data variance. Providing kennel-housed dogs with regular, positive human interactions was perceived to increase the dogs’ positive valence towards humans and reduced negative responses. These benefits are expected to enhance the dogs’ teaching effectiveness with veterinary students, adoptability, and future adaptation to new forever homes. Full article