Search Results (1,919)

This qualitative study analyzes the perceived effects of the Quiero Mi Barrio—I love my neighborhood—(PQMB) urban regeneration program on the physical and social environments and residents’ quality of life in two deprived neighborhoods in Temuco, Chile, where PQMB was implemented in 2007 and 2015, using a phenomenological approach and a gender perspective. PQMB is a state-led program that combines improvements in urban infrastructure with participatory processes aimed at strengthening community life. Data were collected through interviews, focus groups, and non-participant observations. The findings indicate improvements in public spaces, increased social interaction, and enhanced community cohesion, although these effects were unevenly distributed. Women and older adults experienced greater benefits due to higher participation and leadership in neighborhood organizations, while younger residents’ involvement was more limited and focused on the use of sports facilities. Differences between neighborhoods highlight the importance of time and institutional continuity in maintaining program-related effects. The study shows that changes in the built environment interact with participation patterns and community organization, shaping how residents experience improvements in quality of life. However, the sustainability of these effects depends on long-term institutional support and communities’ capacity to sustain collective action and influence local decision-making beyond the formal closure of interventions. Full article

This article explores Rudolf Steiner’s Christology within the framework of cosmic evolution, focusing on the Second Coming of Christ as a pivotal metaphysical event. Identifying a scholarly lacuna regarding Steiner’s developmental cosmology and the work of Yeshayahu Ben-Aharon, the study adopts an immanent–synthetic methodology to demonstrate a sacramental, participatory epistemology. The first part unfolds Steiner’s vision of the ‘Mystery of Golgotha’ as a cosmic turning point where a macrocosmic death process is reversed into a resurrection life stream. The second part examines Ben-Aharon’s esoteric development of these ideas into a contemporary ‘knowledge drama of the Second Coming.’ Through the spiritualization of consciousness, Ben-Aharon describes an individual ‘essence-exchange’ with the Christ impulse within the ‘abyss of nothingness’ of our age. Finally, the article discusses the social–metaphysical implications of this drama through the ‘Reversed Cultus.’ Here, the indwelling Christ is recognized as humanity’s ‘Higher Self,’ grounding a new community and ‘school of love’ capable of responding to the technoscientific challenges of mechanization of intelligence and life. By positioning the human being as a co-creative agent in cosmic becoming, the article argues for a renewed understanding of the Second Coming as a new step in humanity’s spiritual evolution. Full article

This paper examines how Pakistani popular cinema reproduces a cruelly optimistic attachment to gender identity and thinness, where weight loss is imagined as the key to love, success, and social acceptance. Rather than surveying the entire industry, this study focuses on two emblematic case studies—Jawani Phir Nahi Ani (2015) and Oye Motti (2021)—to show how Lollywood normalises fatphobia through comic ridicule, makeover tropes, and exclusionary casting practices. The analysis reveals how fatness is framed not as an identity but as a flaw to be corrected, rendering overweight characters undesirable despite their talents or personalities. Thus, fatness is usually treated as an obstacle to social acceptance, marriage, and personal happiness; the very hope of inclusion becomes an instrument of exclusion, exemplifying Berlant’s concept of cruel optimism. In Berlant’s terms, cruel optimists always struggle to achieve unattainable fantasies of a better life that promise upward mobility. Full article

Theological engagement with artificial intelligence has largely focused on applied ethics, addressing bias, governance, and labor displacement. While indispensable, this framing often presumes that algorithmic systems operate as external instruments acting upon already constituted subjects. This article argues that contemporary predictive architectures intervene at a deeper anthropological level by structuring attention, expectation, and habituation prior to deliberative judgment. It introduces the concept of ordo extractionis to designate a technologically mediated regime of formation characterized by behavioral trace extraction, probabilistic modeling, and recursive projection of statistically inferred continuity. Drawing on Augustine’s account of ordered love and temporality and Aquinas’s doctrine of habitus and the invisible mission of the Spirit, the article distinguishes algorithmic projection from sanctification as divergent pedagogies of temporal formation. Predictive systems stabilize continuity by extrapolating from measurable past behavior; sanctification reorders desire teleologically toward a final end not deducible from prior pattern and grounded in non-competitive divine causality. Algorithmic mediation is therefore interpreted pedagogically rather than metaphysically: it does not rival divine agency but participates creaturely in shaping the ecology within which habituation unfolds. Engagement with contemporary AI research on recommender systems, reinforcement learning, and generative models situates the argument within technological realism and resists determinism. The digital twin is analyzed as a probabilistic representation that acquires institutional authority when operationalized in ranking, profiling, and evaluative systems, without constituting a metaphysical competitor to the imago Dei. In response to anticipatory closure, Eucharistic anamnesis and epiclesis are developed as practices that re-situate memory and expectation within eschatological promise. The article concludes that the central theological question posed by AI is not whether machines can think, but how formative sovereignty over desire is exercised within technologically mediated modernity. Full article

Meditation-related difficulties have been systematically documented in contemporary contemplative science, yet the prescriptive resources preserved in the ancient Buddhist commentarial literature remain underutilized in comparative research. This study analyzes the case of five hundred monks in the Paramatthajotikā I’s commentary on the Karaṇīya-metta-sutta. During intensive practice, these monks experienced complex psychosomatic symptoms—perceptual disturbances, fear, somatic distress, and cognitive impairment—and received from the Buddha an integrated prescription of five protective practices (pañca rakkhā). Through Pāli textual and comparative analysis with Lindahl et al.’s taxonomy of meditation-related difficulties, this study demonstrates that the monks’ symptoms correspond systematically to the perceptual, affective, somatic, and cognitive domains of the modern taxonomy, with the critical difference residing in interpretive frameworks rather than in the phenomena themselves. The five practices—loving-kindness meditation, protective chant recitation, contemplation of impurity, mindfulness of death, and the arousal of religious urgency—constitute a sequentially structured system progressing from the emotional reframing of fear to the deconstruction of bodily and existential attachment, culminating in the restoration of soteriological motivation. This study argues that Paramatthajotikā I’s prescriptive system provides a historically grounded, soteriologically oriented complement to contemporary contemplative science, particularly in bridging the gap between phenomenological classification and meaning-centered intervention. Full article

Accurate and stable acquisition of the spatial distribution of soybean planting areas is essential for supporting precision agricultural monitoring and ensuring food security. However, crop remote-sensing mapping for specific regions still faces critical data bottlenecks: high-precision, large-scale pixel-level annotation is costly, resulting in scarce available labeled samples that make it difficult to construct large-scale training datasets. Although parameter-intensive models such as FCN and SegNet can achieve sufficient end-to-end training on large-scale public remote sensing datasets like LoveDA, when directly applied to the data-limited dataset in this study area, the models are prone to overfitting, leading to a significant decline in generalization ability. To address these issues, this study proposes a lightweight U-shaped semantic segmentation model, SimSDRU-Net. The model utilizes a pre-trained VGG-16 backbone to extract shallow texture and deep semantic features. The pre-trained weights mitigate the impact of overfitting in data-limited settings. In the decoding stage, a parameter-free lightweight SimAM attention module enhances effective soybean features and suppresses soil background redundancy, while an embedded S-DRU unit fuses multi-scale features for deep complementary reconstruction to improve edge detail capture. A label dataset was constructed using Sentinel-2 images as the data source and Menard County (USA) as the study area. The USDA CDL was used as a foundation for the dataset, with Google high-resolution images serving as visual interpretation aids. In the context of the experiment, Deeplabv3+ and U-Net++ were compared with U-Net under identical conditions. The results demonstrated that SimSDRU-Net exhibited optimal performance, with MIoU of 89.03%, MPA of 93.81%, and OA of 95.96%. Specifically, SimSDRU-Net uses the SimAM attention module to generate spatial attention weights by analyzing feature statistical differences through an energy function, so as to adaptively enhance soybean texture features. Meanwhile, the S-DRU unit groups, dynamically weights, and cross-branch reconstructs multi-scale convolutional features to preserve fine boundary details and achieve accurate segmentation of soybean plots. The present study demonstrates that SimSDRU-Net integrates lightweight design and high precision in data-limited scenarios, thereby providing effective technical support for the rapid extraction of soybean planting areas in North America. Full article

Iris Murdoch situates imagination at the core of moral life, challenging moral philosophy’s preference for abstract universal principles over the particularity of lived experience. This paper reconstructs Murdoch’s concept of imagination by tracing her engagement with Plato’s distinction between eikasia and the Demiurge’s ‘high’ imagination, as well as Kant’s notions of empirical and esthetic imagination. I argue that Murdoch’s imagination is best understood as a hermeneutical capacity essential to moral vision. She distinguishes between egoistic fantasy, which distorts reality, and free and creative imagination, which enables a just and loving gaze upon the world. Through imagination, we can replace obscuring images with truer ones, making moral progress an exercise in vision and attention. Murdoch’s account thus offers an alternative to moral theories that overlook the inner life as a site of ethical transformation. Full article

Background/Objective: Although most melanocytic lesions are diagnosed as benign or malignant by histopathologic evaluation, with or without the aid of immunohistochemistry, diagnosis may remain uncertain in a minority of cases. Assessment of copy number abnormalities (CNAs) may provide sufficient additional evidence to favor either a benign or malignant diagnosis in both pediatric and adult cases and in melanocytic lesions of various subtypes, including Spitzoid, mucosal, and acral. CNAs are common in melanomas, while they are rare, with few exceptions, in benign lesions. Detection of CNAs by fluorescence in situ hybridization (FISH) and chromosomal microarray (CMA) has been well established for melanocytic lesions, with advantages and disadvantages for each. The objective of this meta-analysis was to evaluate the utility of CNA testing for the diagnosis of melanoma, across subtypes, when a lesion remains ambiguous after histopathologic and immunohistochemical assessment. In addition, the utility of CNAs to determine prognosis in established diagnoses of melanoma was also evaluated. Methods: The Cancer Genomics Consortium Working Group for Melanocytic Lesions reviewed published data from January 1998 through September 2022 of CNAs in melanocytic lesions detected by either FISH or CMA and conducted a meta-analysis of the findings. Results: Specific abnormalities common in primary cutaneous melanomas of various subtypes and uveal melanomas were enumerated. Differences in CNAs found in primary versus metastatic lesions were also determined, and published evidence for prognosis was summarized. Conclusions: The working group established evidence-based recommendations for the use of CNA testing for evaluation of ambiguous melanocytic lesions. Full article

Remand custody has received little academic or policy attention, despite being a form of punishment that removes an individual immediately into prison for an unknown duration. While there has been growing international attention on prisoners’ children and families, the punitive impact of remand is ‘still forgotten’. Responding to this gap, 61 semi-structured interviews were conducted with loved ones (i.e., partners, parents, and friends) supporting a person in prison on remand in England and Wales. Data collected in 2018 and 2019 were then coded and thematically analysed. This paper focuses specifically on the juggling act that 16 mothers and grandmothers (as maternal figures) undertook as they engaged in ‘family practices’ to balance their own needs against those of other family members, including those in the community and their remanded adult (grand)children. Four subthemes exploring prison conditions and healthcare, violence, mental health, and supporting other family members are discussed, which sit within an overarching theme that found disrupted maternal practices and a lack of control. This article concludes that because remand is distinct, so are the experiences of maternal figures, necessitating nuanced support and further research and policy attention, so that remand experiences are no longer forgotten. Full article

This article examines how religious experience is articulated through genre in the poetry of the seventeenth-century Ottoman Mawlawī shaykh Neshāṭī (d. 1674), focusing on the striking contrast between his ghazals and non-ghazal compositions. While Neshāṭī’s qaṣīdas, mathnawīs and other formal genres employ an explicit and direct religious language—addressing God, the Prophet, sacred figures, and doctrinal themes—his ghazals are dominated by imagery of wine, love, and the beloved, which at first glance appears markedly profane. Rather than reading this contrast as a sign of secularization or doctrinal inconsistency, the article argues that it reflects a conscious poetic strategy shaped by the expressive style of the ghazal. Through a close reading of Neshāṭī’s Dīwān, the study demonstrates that religious meaning in ghazals is not absent but deliberately rendered implicit. Drawing on motifs such as the mirror, secret (sirr), annihilation (fanāʾ fīʾllāh), and states of spiritual contraction, Neshāṭī transforms the language of human love into a vehicle for divine experience. In this context, the ghazal emerges as a genre particularly suited to conveying religious meaning through ambiguity, emotional intensity, and symbolic indirection rather than overt doctrinal exposition. By situating Neshāṭī within both the Mawlawī tradition and the aesthetics of Sabk-i Hindī, this article highlights how genre manifests religious expression in Ottoman poetry. It proposes that divine encounter in Neshāṭī’s work is realized less through explicit theological discourse than through the affective and symbolic potential of the ghazal. In doing so, the study offers a new reading of Neshāṭī’s poetry and contributes to broader discussions on the relationship between literary/lyrical genre, mysticism, and religious experience in Islamic literary traditions. Full article

An inhomogeneous thin internal stratum sometimes exists between two dissimilar materials, which is usually caused by non-uniform thermal distribution, interaction of different media, diffusion impurity or material degeneration and damage. In this paper, it is considered as a functional graded (FG) piezoelectric material in surface acoustic wave devices, and we investigate its effect on Love wave propagation within the framework of the linear piezoelectric theory. Correspondingly, the power series technique is presented and applied to solve the dynamic governing equations, i.e., two-dimensional partial differential equations with variable coefficients, with the convergence and correctness being proved. In this method, the material coefficients can change in random functions along the thickness direction, which reveals the generality of this method to some extent. As the numerical case, the elastic coefficient, piezoelectric coefficient, dielectric permittivity, and mass density change in the linear form but with different graded parameters, and the influence of material inhomogeneity on the Love wave propagation is systematically investigated, including the phase velocity, electromechanical coupling factor, and displacement distribution. In addition, the FG piezoelectric material caused by piezoelectric damage and material bonding is discussed. Numerical results demonstrated that both piezoelectric damaged and material bonding can make the higher modes appear earlier for the electrically open case, decrease the initial phase velocity, and limit the existing region of the fundamental Love mode for the electrically shorted case. The qualitative conclusions and quantitative results can provide a theoretical guide for the structural design of surface wave devices and sensors. Full article

Remote sensing (RS) images, characterized by their large size and rich texture, require algorithms capable of effectively integrating both global and local features for compression. However, existing Learned Image Compression (LIC) approaches face distinct bottlenecks. While Transformer-based architectures typically suffer from heavy computational loads, standard State Space Models (SSMs) often incur prohibitive memory costs when processing high-resolution inputs. To address these limitations, we propose MambaLIC, a novel RS image compression network that integrates the efficient long-range modeling of SSMs with the local modeling ability of CNNs. In this paper, we introduce an innovative Remote Sensing State Space Model (RS-SSM) module, which combines visual SSM with dynamic convolution for remote sensing image compression. This integration facilitates effective interaction between local and global information, thereby enhancing the performance of RS image compression. Furthermore, we propose an SSM attention-based (SSA-based) spatial-channel context model for better entropy modeling. Compared to Transformer-CNN mixed architectures, MambaLIC reduces computational complexity by 63.9% and achieves superior rate-distortion (RD) performance. Consequently, compared to the latest SS2D-based method MambaIC, MambaLIC achieves substantial efficiency gains, saving 78.8% in memory usage. Experimental results demonstrate that MambaLIC achieves state-of-the-art (SOTA) performance, outperforming VVC (VTM-17.0) by 14.22%, 18.48%, and 17.47% in BD-rate on UC-Merced, LoveDA, and xView datasets, respectively. Full article

In this work, we further investigate the surface wave attenuation performance of elastic metasurfaces composed of in-filled pipes in a layered half-space, focusing on the dispersion relations and transmission properties. Particularly, both Rayleigh waves and Love waves are considered. The introduction of soil layers will reduce the width of attenuation zones. Additionally, transmission simulations reveal complex propagation patterns for elastic metasurfaces in a layered half-space, including wave reflection, wave resonance, and higher-order wave modes, which will hinder the penetration of converted shear waves into the half-space. In contrast, in reference cases, only surface-shear wave mode conversion is observed. Moreover, the attenuation performance of elastic metasurfaces is also diminished in layered soils in the frequency domain, and a nonuniform displacement distribution behind the elastic metasurface is also found. Last but not least, the feasibility of elastic metasurfaces to train-induced ground-borne vibration mitigation is numerically verified in the time domain. Although the performance of elastic metasurfaces in layered soils is inferior to that in homogeneous soils, they are better than traditional trenches within the main frequency range. Snapshots from the transient simulation clearly show the evolution of wave fields, reinforcing the observed key findings. Due to excellent surface-wave-attenuation performance and ease of realization, these novel elastic metasurfaces hold great potential in ambient vibration mitigation. Full article

Emotions in the Muslim Brotherhood have been largely overlooked in the literature. This article examines how the movement strategically regulates specific emotions—and the processes that generate them—to keep members in as well as to prevent and deter them from leaving. It focuses on conjugal love as it is produced through endogamous arranged marriage practices. Drawing on frame analysis of Brotherhood literature and fieldwork conducted in Egypt, Qatar, Turkey, and the UK, the study shows that the group tightly structures marital formation, including matchmaking, wedding rituals, and the organization of the couple’s household. Conjugal love produced in this marriage is entangled with two additional forms of attachment: love for the group and love for God. This entangled emotional structure transforms marriage and the three loves attached to it into a mechanism of organizational engagement that can prevent and deter members from leaving. For example, the group makes the cost of exit emotionally high through threats of divorce, social ostracism and God’s condemnation. Full article

The paper investigates the structural properties of self-gravitating fluid spheres composed of a dilute, homogeneous, and ultracold Bose gas, assuming repulsive, short-range interactions. For the first time, the Lee–Huang–Yang (LHY) correction is incorporated to the standard polytropic equation-of-state with index $n=1$, which extends beyond the Hartree mean-field approximation by accounting for quantum fluctuations. The findings indicate that this correction significantly affects the mass–radius relationships and other properties of condensate dark stars, such as the compactness factor and tidal Love numbers. Notably, the impact of the LHY correction is more pronounced for equations of state that support higher maximum stellar masses. Full article