Search Results (719)

Geological interfaces are crucial elements governing deposit formation, such as silica–calcium surfaces, intrusive contact interfaces, and unconformities can serve as key symbols for mineral exploration prediction. Geological maps provide relatively detailed representations of primary geological interfaces and their interrelationships. However, in previous mineral resource predictions, the type differences in different geological interfaces were ignored, and the types of different geological interfaces vary greatly, thus affecting the validity of the mineral prediction results. Manual interpretation and analysis of geological interfaces involve substantial workloads and make it difficult to effectively apply the rich geological information depicted on geological maps to mineral exploration prediction processes. Therefore, this study proposes a model for intelligent identification of geological interface types based on deep learning. The model extracts the attribute information, such as the age and lithology of the geological bodies on both sides of the geological boundary arc, based on the digital geological map of the Gouli gold mining area in Dulan County, Qinghai Province, China. The learning dataset comprising 5900 sets of geological interface types was constructed through manual annotation of geological interfaces. The arc segment is taken as the basic element; the model adopts natural language processing technology to conduct word vector embedding processing on the text attribute information of geological bodies on both sides of the geological interface. The processed embedding vectors are fed into the convolutional neural network (CNN) for training to generate the geological interface type recognition model. This method can effectively identify the type of geological interface, and the identification accuracy can reach 96.52%. Through quantitative analysis of the spatial relationship between different types of geological interfaces and ore points, it is known that they have a good correlation in spatial distribution. Experimental results show that the proposed method can effectively improve the accuracy and efficiency of geological interface recognition, and the accuracy of mineral prediction can be improved to some extent by adding geological interface type information in the process of mineral prediction. Full article

This article interrogates the theoretical articulations of the body–space nexus through the formulation of an alternative methodological framework. It advances the premise that body and space cannot be reduced to physical parameters or representational models; rather, they are continually reconstituted through experience, perception, cultural contexts, and relational processes. Against the backdrop of fragmented spatial, phenomenological, and socio-political readings of space, Joseph Kosuth’s “One and Three Chairs” [1965] is posited as a conceptual compass, while semiotic instruments are mobilized as analytical devices. Within this constellation, the body–space relation is examined through a trialectical configuration that couples three relational modalities—distance, togetherness, and plurality—with three representational dimensions: object, image, and definition. The analysis shows how each modality delineates a distinct regime of bodily–spatial interaction and exposes the ways in which these regimes become manifest within architectural experience, social production, and conceptual potential. Within this framework, the notion of the flesh of space is advanced to describe space as a relational field in which bodies, materials, images, and definitions become mutually entangled. The principal contribution of this study lies in advancing a methodological orientation that transcends normative metrics and reductionist representational paradigms, thereby enabling body–space relations to be apprehended through relational dynamics and multilayered processes of signification. In doing so, this article provides a critical ground for rethinking architectural epistemology from a more flexible, experiential, and plural perspective, and proposes a transferable analytical scaffold for future case-based and design-oriented research. Full article

Background/Objectives: Emotional eating can pose a significant threat to one’s health as it can be a predictor of eating disorders. It involves eating in response to emotional distress rather than physical hunger and is widely associated with insecure attachment patterns. However, it remains unclear whether this relationship is consistent across cultures and in the general population. This review aimed to examine the relationship between different conceptualizations of attachment and emotional eating in non-clinical adolescent and adult populations. Methods: Nineteen eligible studies were identified through searches of five databases, including ProQuest, Scopus, Google Scholar, PubMed, and ProQuest Dissertations and Theses Global (PQDT), which covers peer-reviewed literature published between 1990 and 2025. Both quantitative and qualitative studies were included, spanning attachment styles, representations, and states. Results: The findings consistently revealed that general secure attachment styles are associated with lower levels of EE. In comparison, insecure–anxious and disorganized attachment styles are positively associated with higher EE levels. In contrast, avoidant attachment showed a weak or inconsistent association. Mediators such as difficulties with emotion regulation, perceived hunger, and body dissatisfaction were frequently identified, and stress emerged as a relevant moderator. Notably, attachment to specific figures (e.g., romantic partners versus caregivers) and cultural context were poorly addressed, which may influence the strength and consistency of the associations. The review also highlights conceptual gaps in the literature, including a limited focus on early attachment representations, context-specific attachment scripts, and the cultural validity of these concepts. Most studies were cross-sectional and conducted in Western contexts, which limited their causal interpretation and generalizability. Conclusions: These findings underscore the importance of attachment-based frameworks in understanding and preventing EE. They suggest the necessity to conduct further studies that are more nuanced, longitudinal, culturally diverse, and that consider sex and pubertal changes for a better understanding of the relationship between attachment and EE. This review contributes to prevention efforts and global health strategies by addressing the relational and emotional determinants of unhealthy eating behaviors in the general population. Full article

Eastern dance traditions have historically been shaped by the continuum of socio-political forces, including colonial encounters, and the aftermath of the Empire. An embodied repository of cultural histories, Orientalized dancer communities delineate genealogies of socio-cultural oppression, and queer resistance against dominant forces of erasure. The Oriental dancer in particular, has figured prominently in long-nineteenth century decadent literatures of the Empire, regularly fetishized as an exotic spectacle, inherently imbricated in queer traditions incomprehensible to the West. In postcolonial literature, the bodies of these Oriental dancers often become the ontological space upon which resistance against the intersecting racial and political discourses of Orientalism, colonialism, and anti-colonialist nationalism is enacted. This study interrogates the triangulated discourses of decadence, Orientalism, and anti-colonial nationalism by critically analyzing the nationalist replications and postcolonial resistance to decadent Orientalist representations of the “Oriental” dancer in British and Indian decadent poetry. Through the transnational and transhistorical study of three poems, namely, Athur O’Shaughnessy’s “Salomé,” Sarojini Naidu’s “Indian Dancers,” and Kamala Das’s “The Dance of the Eunuchs,” this study explores the persistent reverberations of the nineteenth-century decadent movement in the postcolonial era. Across these three poems, I would trace the complicities and departures of fin-de-siècle decadence from the colonial discourse, to study how it can be subversively transformed into a language of resistance to the violence visited upon the subaltern dancers’ textual and sexual bodies. Full article

Core germplasm, a strategically selected subset of the original germplasm, aims to maximize the representation of genetic diversity within the entire collection. Establishing a germplasm resource bank is essential for the effective management and sustainable utilization of genetic resources. This study developed a core germplasm repository for Hypsizygus marmoreus, a commercially important mushroom species, to capture the genetic diversity of the original collection with a minimal sample size. Genetic diversity and cluster analyses were conducted on 57 representative strains of H. marmoreus, including both cultivated and wild accessions from different regions, using 15 pairs of simple sequence repeat (SSR) markers. DNA molecular identity cards were generated for all germplasms, and cultivation trials with agronomic trait assessments were performed on 24 core accessions. A total of 115 distinct alleles were identified, with genetic similarity coefficients ranging from 0.70 to 1.00. Clustering at a similarity threshold of 0.76 classified the strains into five groups. The core germplasm panel, comprising 24 accessions (42.11% of the total collection), retained full allelic diversity and preserved the genetic and phenotypic variability of the original population, confirming its suitability for parental selection in breeding programs. unique molecular identity codes were developed for each H. marmoreus germplasm by integrating SSR marker profiles with data on geographical origin, fruiting body color, and cultivation traits. These were converted into DNA molecular ID codes, providing a reliable system for rapid identification and traceability of germplasm resources. The findings offer a valuable reference for breeding improvement and the protection of edible fungal varieties with independent intellectual property rights. Full article

This study presents a novel methodology for the detection and monitoring of changes in surface water bodies, with a particular emphasis on the near-eastern region of Antioquia, Colombia. The proposed approach integrates remote sensing and artificial intelligence techniques through the fusion of multi-source imagery, specifically Synthetic Aperture Radar (SAR) and optical data. The framework is structured in several stages. First, radar imagery is pre-processed using an autoencoder-based despeckling model, which leverages deep learning to reduce noise while preserving structural information critical for environmental monitoring. Concurrently, optical imagery is processed through the computation of normalized spectral indices, including NDVI, NDWI, and NDBI, capturing essential characteristics related to vegetation, water presence, and surrounding built-up areas. These complementary sources are subsequently fused into synthetic RGB composite representations, ensuring spatial and spectral consistency between radar and optical domains. To operationalize this methodology, a standardized and reproducible workflow was implemented for automated image acquisition, preprocessing, fusion, and segmentation. The Segment Anything Model (SAM) was integrated into the process to generate semantically interpretable classes, enabling more precise delineation of hydrological features, flood-prone areas, and urban expansion near waterways. This automated system was embedded in a software prototype, allowing local users to manage large volumes of satellite data efficiently and consistently. The results demonstrate that the combination of SAR and optical datasets provides a robust solution for monitoring dynamic hydrological environments, particularly in tropical mountainous regions with persistent cloud cover. The fused products enhanced the detection of small streams and complex hydrological patterns that are typically challenging to monitor using optical imagery alone. By integrating these technical advancements, the methodology supports improved environmental monitoring and provides actionable insights for decision-makers. At the local scale, municipal governments can use these outputs for urban planning and flood risk mitigation; at the regional level, environmental and territorial authorities can strengthen water resource management and conservation strategies; and at the national level, risk management institutions can incorporate this information into early warning systems and disaster preparedness programs. Overall, this research delivers a scalable and automated tool for surface water monitoring, bridging the gap between scientific innovation and operational decision-making to support sustainable watershed management under increasing pressures from climate change and urbanization. Full article

This perspective advances a psychoanalytic—embodiment account of the “libido of generativity” (LoG)—future-oriented reorganization of erotic desire that links embodied arousal with caregiving, legacy, and shared projects. We define LoG along four axes (direction of investment: dyad↔triad; temporal horizon: immediacy↔future; outcome modalities: procreative, creative–sublimative, community-forming; affective regulation: shame/guilt↔pride/gratitude). Integrating interoception, body ownership/agency, and self-compassion with reproductive mentalizing, we specify three proximal levers—embodiment, affect regulation, and representation—through which sexual mindfulness can recalibrate bodily salience, blunt shame-based self-objectification, and expand triadic representations (self–partner–child/symbolic offspring). We then translate these mechanisms into a brief, practice-ready relationship guidance (RG) curriculum (6–8 sessions) combining somatic mindfulness, compassion micro-practices, reproductive-mentalizing dialogs, communication skills, and generative rituals. We articulate falsifiable propositions (e.g., mindfulness → ↑couple satisfaction via ↓body-image self-consciousness and ↑reproductive mentalizing) and a sex/gender-attentive reporting plan (SAGER). Primary outcomes include sexual functioning/satisfaction and couple satisfaction/communication; secondary mechanistic endpoints index interoceptive accuracy/awareness (including heartbeat-evoked potentials), self-compassion, and reproductive mentalizing. By aligning contemplative practices with couple-skills training and equity-focused implementation, the LoG framework offers a testable bridge from psychoanalytic theory and embodiment science to measurable improvements in sexual health and couple well-being. Full article

The use of radiotherapy in oncology patients aged 80 years and older represents a significant clinical challenge due to the limited availability of prospective data and the under-representation of this age group in clinical trials. Most existing evidence originates from retrospective analyses of small patient cohorts. Radiotherapy remains a cornerstone of cancer treatment, providing both curative and palliative benefits. Technological advances, including intensity-modulated radiotherapy (IMRT) and stereotactic body radiotherapy (SBRT), have significantly improved treatment precision, reduced toxicity, and enabled the adoption of hypofractionated regimens. These shortened treatment schedules are particularly advantageous for older patients, reducing the burden of prolonged therapy while maintaining therapeutic efficacy. Comprehensive Geriatric Assessment (CGA) plays a crucial role in optimizing treatment decisions for octogenarian patients by addressing their clinical, functional, and psychosocial needs. However, the routine use of CGA remains limited due to logistical and time constraints. Despite these challenges, current evidence suggests that radiotherapy is generally well tolerated in this population, with acceptable toxicity profiles even among frail patients. As the global population of individuals aged 80 years and older continues to increase, the development of specific clinical guidelines tailored to this demographic has become essential. There is an urgent need for prospective studies providing robust evidence regarding the efficacy, safety, and tolerability of radiotherapy in older adults. This review aims to summarize the current state of knowledge on the role of radiotherapy in patients aged 80 years and older and to highlight the need for evidence-based, individualized oncologic care for this growing patient population. Full article

Background/Objectives: Body surface area (BSA) is an important metric that represents human dimensionality and could provide a more accurate representation of body composition. The objectives were (a) to verify the validity of a set of equations based on BSA to estimate lean body mass (LBM), using dual X-ray absorptiometry (DXA) as a reference method and (b) to propose reference values of BSA by anthropometry and LBM by DXA in a regional sample of Chile aged 4 to 85 years. Methods: A descriptive cross-sectional study was performed. The sample size was 5493 participants. Weight and height were measured. BSA was calculated using seven equations. LBM was assessed by DXA. Results: Only three BSA equations (Dubois–Dubois, 1916, Fujimoto, Watanabe, 1969, and Mattar, 1981) best explained LBM. The explanatory power for males was R² = 83 to 84%, and that for females was R² = 69%. The standard error of estimation (SEE) of the three equations showed acceptable values in both sexes. These values ranged from 0.049 to 0.080 in males and from 0.035 to 0.088 in females. The Bland–Altman concordance analysis showed adequate limits of agreement. In men, they ranged from −0.092 to 0.069 m². In females, they ranged from −0.064 to 0.084 m². Reference values for BSA and LBM were constructed using percentiles. Conclusions: This study demonstrated the validity of three equations for estimating LBM in a Chilean sample aged between 4 and 85 years. These results show consistent behavior and acceptable accuracy, especially in the Mattar equation for all ages. However, the Dubois & Dubois and Fujimoto equations could also be an alternative in females. Reference values were generated for BSA and LBM according to age and sex. The results suggest their applicability and usefulness in clinical and public health contexts. Full article

The medical discourse entails the analysis of the modalities, which are far from unbiased, by which hypotheses and results are laid out in the dissemination of findings in scientific publications. This gives different emphases on the background, relevance, robustness, and assumptions that the audience takes for granted. This concept is extensively studied in socio-anthropology. However, it remains generally overlooked within the scientific community conducting the research. Yet, analyzing the discourse is crucial for several reasons: to frame policies that take into account an appropriately large screen of medical opportunities; to avoid overseeing promising but less walked paths; to grasp different types of representations of diseases, therapies, patients, and other stakeholders; to understand how these terms are conditioned by time and culture. While socio-anthropologists traditionally use manual curation methods–limited by the lengthy process–machine learning and AI may offer complementary tools to explore the vastness of an ever-growing body of medical literature. In this work, we propose a pipeline for the analysis of the medical discourse on the therapeutic approaches to rheumatoid arthritis using topic modeling and transformer-based emotion and sentiment analysis, overall offering complementary insights to previous curation. Full article

This article explores how fashion, as a cultural system, constructs and circulates dominant imaginaries of the body, focusing on the visual narratives presented on the covers of Vogue Italia. Moving beyond a purely esthetic or biological notion of beauty, this study adopts an embodiment perspective to analyze how socio-cultural contexts shape representations of bodies, identities, and subjectivities within fashion media. Through a qualitative longitudinal analysis of Vogue Italia covers spanning over sixty years, this study explores how visible diversity is mediated through the visual and symbolic codes of fashion, revealing significant changes in esthetic sensibility and editorial strategies throughout the course of time. Rather than interpreting these representations as a straightforward response to growing demands for inclusion, we argue that fashion’s engagement with diversity operates through a mimetic logic that simultaneously displays alterity while reasserting existing hierarchies of power, desirability, and visibility. The results suggest that editorial choices have been decisive in determining the visual trajectory of the magazine, sometimes anticipating broader cultural debates on gender, race, and identity. We contend that Vogue Italia does not simply reflect social transformations, but actively contributes to shaping a cultural script in which inclusion becomes both commodified and contained. Ultimately, this study highlights the ambivalent role of fashion media in negotiating inclusion and exclusion through the visual construction of bodies emphasizing how the language of diversity can either challenge or reproduce hegemonic visual imaginaries. Full article

Three-dimensional Human Reconstruction from Monocular Vision is a key technology in Virtual Reality and digital humans. It aims to recover the 3D structure and pose of the human body from 2D images or video. Current methods for dynamic 3D reconstruction of the human body, which are based on monocular views, have low accuracy and remain a challenging problem. This paper proposes a fast reconstruction method based on Instant Human Model (IHM) generation, which achieves highly realistic 3D reconstruction of the human body in arbitrary poses. First, the efficient dynamic human body reconstruction method, InstantAvatar, is utilized to learn the shape and appearance of the human body in different poses. However, due to its direct use of low-resolution voxels as canonical spatial human representations, it is not possible to achieve satisfactory reconstruction results on a wide range of datasets. Next, a voxel occupancy grid is initialized in the A-pose, and a voxel attention mechanism module is constructed to enhance the reconstruction effect. Finally, the Instant Human Model (IHM) method is employed to define continuous fields on the surface, enabling highly realistic dynamic 3D human reconstruction. Experimental results show that, compared to the representative InstantAvatar method, IHM achieves a 0.1% improvement in SSIM and a 2% improvement in PSNR on the PeopleSnapshot benchmark dataset, demonstrating improvements in both reconstruction quality and detail. Specifically, IHM, through voxel attention mechanisms and Mesh adaptive iterative optimization, achieves highly realistic 3D mesh models of human bodies in various poses while ensuring efficiency. Full article

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

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

Body size awareness—a component of bodily self-representation—allows animals to match their own dimensions to environmental constraints. This study tested whether reedfish (Erpetoichthys calabaricus), a benthic ray-finned species with limited vision, can evaluate aperture passability relative to their body size. Eight fish performed a “body-as-obstacle” task. After training, each individual completed 36 trials in Experiment 1 (three passable circular apertures of different diameters) and 72 trials in Experiment 2 (one small passable and two larger non-passable apertures). We scored first approach, first penetration attempt, and full passage; data were analyzed with generalized linear models. In Experiment 1, choices were random, unaffected by aperture size or position. In Experiment 2, first approaches were random, but first penetration attempts—and ensuing passages—were directed almost exclusively to the single passable aperture. These results indicate near-field formation of pass/not-pass judgments, likely via tactile and hydrodynamic sensing. The behavioral dissociation between exploratory (epistemic) and goal-directed (pragmatic) actions supports a modular model of self-representation, where distinct sensorimotor loops underlie information gathering and goal execution. Thus, reedfish demonstrate body-size awareness and contribute to comparative evidence that modular self-representation and embodied anticipation may extend deep into vertebrate evolution. Full article