Search Results (392)

Lion Grove was established in 1342 during the Yuan Dynasty and is one of the four most famous classical gardens in China. It was recognized as a UNESCO World Heritage Site in 2000. Although Lion Grove is now regarded as a private garden representing the culture of Confucian scholars, it was originally a Chan Buddhist garden during its inception in the Yuan Dynasty. This study examines the natural landscapes of Lion Grove at its inception, focusing on four main aspects: the philosophy of nature, planning intent, creators, and the philosophical ideas they represent. Key findings include the following: Firstly, Lion Grove’s attitude towards nature is rooted in China’s indigenous culture, making it both a physical expression of Chan philosophy and a space reflecting the scholar–bureaucrats’ vision of an ideal landscape. Secondly, from the perspective of landscape planning, the Lion Grove of the Yuan Dynasty placed greater emphasis on natural elements compared to its modern counterpart, with rock landscapes serving as the core element throughout the garden. Thirdly, hermitic philosophy emerged as a significant cultural theme alongside Chan Buddhism during the Yuan Dynasty. Fourthly, the landscape elements of Lion Grove symbolize Chan Buddhist wisdom and the hermit’s idealism, with poetry playing a key role in conveying these cultural ideals, preserving the site’s early philosophical significance. Full article

In the Chan Buddhism koan (gong’an 公案) tradition, the act of “slaying the snake” functions as a signature gesture imbued with complex, historically layered cultural meanings. Rather than merely examining its motivations, this paper emphasizes tracing the semantic transformations that this motif has undergone across different historical contexts. It argues that “snake-slaying” operated variously as an imperial narrative strategy reinforcing ruling class ideology; as a form of popular resistance by commoners against flood-related disasters; as a dietary practice among aristocrats and literati seeking danyao (elixirs) 丹藥 for reclusion and transcendence; and ultimately, within the Chan tradition, as a method of spiritual cultivation whereby masters sever desires rooted in attachment to both selfhood and the Dharma. More specifically, first, as an imperial narrative logic, snake-slaying embodied exemplary power: both Liu Bang 劉邦 and Guizong 歸宗 enacted this discursive strategy, with Guizong’s legitimacy in slaying the snake deriving from the precedent set by Liu Bang. Second, as a folk strategy of demystification, snake-slaying acquired a moral aura—since the snake was perceived as malevolent force, their slaying appeared righteous and heroic. Finally, as a mode of self-cultivation among the aristocracy, snake-slaying laid the groundwork for its later internalization. In Daoism, slaying the snake was a means of cultivating the body; in Chan Buddhism, the act is elevated to a higher plane—becoming a way of cultivating the mind. This transformation unfolded naturally, as if predestined. In all cases, the internalization of the snake-slaying motif was not an overnight development: the cultural genes that preceded its appearance in the Chan tradition provided the fertile ground for its karmic maturation and discursive proliferation. Full article

Accurate liver segmentation and volume estimation from CT images are critical for diagnosis, surgical planning, and treatment monitoring. This paper proposes a GPU-accelerated voxel-level cropping method that localizes the liver region in a single pass, significantly reducing unnecessary computation and memory transfers. We integrate this pre-processing step into two segmentation pipelines: a traditional Chan-Vese model and a deep learning U-Net trained on the LiTS dataset. After segmentation, a seeded region growing algorithm is used for 3D liver volume assessment. Our method reduces unnecessary image data by an average of 90%, speeds up segmentation by 1.39× for Chan-Vese, and improves dice scores from 0.938 to 0.960. When integrated into U-Net pipelines, the post-processed dice score rises drastically from 0.521 to 0.956. Additionally, the voxel-based cropping approach achieves a 2.29× acceleration compared to state-of-the-art slice-based methods in 3D volume assessment. Our results demonstrate high segmentation accuracy and precise volume estimates with errors below 2.5%. This proposal offers a scalable, interpretable, efficient liver segmentation and volume assessment solution. It eliminates unwanted artifacts and facilitates real-time deployment in clinical environments where transparency and resource constraints are critical. It is also tested in other anatomical structures such as skin, lungs, and vessels, enabling broader applicability in medical imaging. Full article

Background: Exfoliation glaucoma (XFG) represents a form of deleterious ocular aging of unclear etiology. We evaluated prediagnostic nuclear magnetic resonance (NMR)-based metabolites in relation to XFG risk, expanding on our prior findings of XFG-related metabotypes using liquid chromatography-mass spectrometry (LC-MS). Methods: We identified 217 XFG cases and 217 matched controls nested within three prospective health professional cohorts with plasma collected a mean 11.8 years before case identification. Plasma metabolites were analyzed using the targeted NMR Nightingale platform. Conditional logistic models and Metabolite Set Enrichment Analysis were performed. Multiple comparison issues were addressed using the number of effective tests (NEF) and false discovery rate (FDR). Results: Among 235 profiled metabolites, higher glucose was significantly associated with a lower risk of XFG (odds ratio (95%CI) = 0.42 (0.26, 0.7); NEF = 0.03). Among metabolite classes, lipoprotein subclasses and branched-chain amino acids were inversely associated, while relative lipoprotein lipid concentrations were adversely associated (FDR < 0.05). Conclusion: NMR profiling revealed that glucose, branched-chain amino acids, lipoprotein subclasses, and relative lipoprotein lipid concentrations may play important roles in XFG etiology. Full article

This paper explores the role of forgetting in the thought of the Korean Sŏn (Chan in Chin.; Zen in Jpn. 禪) master Chinul (知訥, 1158–1210), situating it within broader East Asian philosophical and Buddhist discourses. While the concept of forgetting has often been treated negatively in Western philosophy—as a cognitive failure or loss—this study draws on recent comparative scholarship, including Youru Wang’s reading of Zhuangzi, to show how forgetting can be reframed as a conscious spiritual and philosophical practice. In particular, this paper examines how Chinul integrates the practice of forgetting into a systematic Buddhist framework grounded in no-self (anātman), emptiness (śūnyatā), and the unity of samādhi and prajñā. In Straight Talk on the True Mind (Chinsim chiksŏl 眞心直說), Chinul outlines ten distinct methods for cultivating no-mind by offering interpretations of teachings from various East Asian Chan masters. Through a detailed analysis of Chinul’s Chinsim chiksŏl, this paper argues that forgetting—when understood as the deliberate letting go of discursive thought, deluded conceptualizations, and habitual dualisms—becomes a powerful method for revealing the true mind. Ultimately, Chinul’s philosophy of forgetting offers a unique account of cognitive transformation—one that challenges conventional epistemologies and calls for a reorientation of perception itself. Therefore, Chinul’s teachings on no-mind and forgetting offer a profound understanding of how deconstructing ingrained cognitive habits can lead to the emergence of enlightened awareness, providing valuable insights into the transformative processes at the heart of East Asian Sŏn Buddhist practice. Full article

T. S. Eliot’s The Love Song of J. Alfred Prufrock has long been examined through the lenses of modernist alienation and psychological paralysis. While previous scholarship has emphasized the poem’s existential themes and innovative form, it has often overlooked the central role of gendered discourse in shaping Prufrock’s communicative anxieties. This article argues that Eliot critiques patriarchal norms by portraying Prufrock’s paralysis as a product of masculine performance anxiety—his fear of miscommunication, emasculation, and judgment in interactions with women. Drawing on contemporary sociolinguistic frameworks by Deborah Tannen and Jennifer Coates, the analysis reveals how Prufrock’s internal monolog reflects early 20th-century anxieties around shifting gender roles and expectations. By situating Prufrock within both the literary traditions and sociocultural tensions of Eliot’s time, the article offers a new interpretation of the poem as a subtle but powerful commentary on the constraints of patriarchal communication. This reading not only deepens our understanding of Eliot’s engagement with gender but also reframes Prufrock’s alienation as a socially constructed and gendered crisis. Full article

With the growth of Internet of Things (IoT) business demands, NB-IoT integrating low earth orbit (LEO) satellite communication systems is considered a crucial component for achieving global coverage of IoT networks in the future. However, the long propagation delay and significant Doppler frequency shift of the satellite-to-ground link pose substantial challenges to the uplink and downlink synchronization in LEO satellite-based NB-IoT networks. To address this challenge, we first propose a Multiple Segment Auto-correlation (MSA) algorithm to detect the downlink Narrow-band Primary Synchronization Signal (NPSS), specifically tailored for the large Doppler frequency shift of LEO satellites. After detection, downlink synchronization can be realized by determining the arrival time and frequency of the NPSS. Then, to complete the uplink synchronization, we propose a position-based scheme to obtain the Timing Advance (TA) values and pre-compensated Doppler shift value. In this scheme, we formulate a time difference of arrival (TDOA) equation using the arrival times of NPSSs from different satellites or at different times as observations. After solving the TDOA equation using the Chan method, the uplink synchronization is completed by obtaining the TA values and pre-compensated Doppler shift value from the terminal position combined with satellite ephemeris. Finally, the feasibility of the proposed scheme is verified in an Iridium satellite constellation. Compared to conventional GNSS-assisted methods, the approach proposed in this paper reduces terminal power consumption by 15–40%. Moreover, it achieves an uplink synchronization success rate of over 98% under negative SNR conditions. Full article

Defects formed during the thermite welding process of two sections of rails require the welded joints to be inspected for quality, and the most used non-destructive method for inspection is radiography testing. However, the conventional defect investigation process from the obtained radiography images is costly, lengthy, and subjective as it is conducted manually by trained experts. Additionally, it has been shown that most rail breaks occur due to a crack initiated from the weld joint defect that was either misclassified or undetected. To improve the condition monitoring of rails, the railway industry requires an automated defect investigation system capable of detecting and classifying defects automatically. Therefore, this work proposes a method based on image processing and machine learning techniques for the automated investigation of defects. Histogram Equalization methods are first applied to improve image quality. Then, the extraction of the weld joint from the image background is achieved using the Chan–Vese Active Contour Model. A comparative investigation is carried out between Deep Convolution Neural Networks, Local Binary Pattern extractors, and Bag of Visual Words methods (with the Speeded-Up Robust Features extractor) for extracting features in weld joint images. Classification of features extracted by local feature extractors is achieved using Support Vector Machines, K-Nearest Neighbor, and Naive Bayes classifiers. The highest classification accuracy of 95% is achieved by the Deep Convolution Neural Network model. A Graphical User Interface is provided for the onsite investigation of defects. Full article

Background/Objectives/Methods: Current research on the link between diet and stroke or myocardial infarction primarily focuses on individual food items. However, people’s eating habits involve complex combinations of various foods. By employing an innovative approach known as the Gaussian graphical model to identify dietary patterns along with the Cox proportional model, the study aimed to identify dietary networks and explore their relationship with the incidence of stroke and/or myocardial infarction in the Korean population. The research utilized data from 84,729 participants in the Korean Genome and Epidemiological Study (KoGES), including the HEXA cohort (61,140 participants), CAVAS cohort (15,419 participants), and Ansan-Ansung cohort (8170 participants). Results: The network identified five dietary patterns or communities consisting of different food groups, while nine food groups did not belong to any community. The High-Protein and Green Tea Community consistently reduced the risk of stroke and myocardial infarction (MI), particularly among females. In most communities, no significant associations with stroke risk were noted in males, and the Rice and High-Calorie Beverages Community was linked to an increased risk of MI in both the total population and females. Conclusions: Dietary patterns derived from network analysis revealed distinct dietary habits in the Korean population, offering new insights into the relationship between diet and the risk of stroke and MI. Full article

Monitoring the variation of urban expansion is crucial for sustainable urban planning and cultural heritage management. This paper proposes an approach for the semantic segmentation of very-high-resolution (VHR) satellite imagery to detect the changes in urban sprawl in the surroundings of Chan Chan, a UNESCO World Heritage Site in Peru. This study explores the effectiveness of combining Mix Transformer encoders with U-Net architectures to improve feature extraction and spatial context understanding in VHR satellite imagery. The integration of active contour loss functions further enhances the model’s ability to delineate complex urban boundaries, addressing the challenges posed by the heterogeneous landscape surrounding the archaeological complex of Chan Chan. The results demonstrate that the proposed approach achieves accurate semantic segmentation on images of the study area from different years. Quantitative results showed that the U-Net-scse model with an MiTB5 encoder achieved the best performance with respect to SegFormer and FT-UNet-Former, with IoU scores of 0.8288 on OpenEarthMap and 0.6743 on Chan Chan images. Qualitative analysis revealed the model’s effectiveness in segmenting buildings across diverse urban and rural environments in Peru. Utilizing this approach for monitoring urban expansion over time can enable managers to make informed decisions aimed at preserving cultural heritage and promoting sustainable urban development. Full article

The development of underwater high-precision navigation technology is of great significance for the application of autonomous underwater vehicles (AUVs). Traditional long baseline (LBL) positioning systems require pre-deployment and the calibration of multiple beacons, which consumes valuable time and manpower. In contrast, the range-only single-beacon (ROSB) positioning technology can help autonomous underwater vehicles (AUVs) obtain accurate position information by deploying only one beacon. This method greatly reduces the time and workload of deploying beacons, showing high application potential and cost ratio. Given the operational constraints of AUV open-ocean navigation with single-beacon weak observations and absence of valid a priori positioning data in calibration zones, a multi-sensor underwater virtual beacon localization framework was established, proposing a differential Chan–Gauss–Newton (DCGN) methodology for submerged vehicles. Based on inertial navigation, the method uses the distance measurement information from a single beacon and observations from multiple sensors, such as the Doppler velocity log (DVL) and pressure sensor, to obtain accurate position estimates by discriminating the initial position of multiple hypotheses. A simulation experiment and lake test show that the proposed method not only significantly improves the positioning accuracy and convergence speed, but also shows high reliability. Full article

Having adopted, appropriated, and altered Indian forms of Buddhism, various schools of Chinese Buddhist thought inherited and transformed essential orientations of both Buddhism and traditional Chinese philosophy insofar as it exhibits a tendency toward seeking universality in its understanding of the world. Within the works of prominent figures and schools such as Sengzhao and the Tiantai school, Huayan, the Consciousness-Only school, and Chan Buddhism, Chinese Buddhist thought integrates the diversity of phenomena through the notion of a unifying “mind-consciousness”. This approach creates the framework for understanding the relationship between humans and all things based on the comprehensive nature of consciousness. Given this foundation, Chinese Buddhist thought places a high value on the equality of all beings, advocates for dismantling distinctions between individuals and the world, and transcends the distinctions of reality to pursue universal unity. By dissolving the boundaries of existence and non-existence, the self and things, and the individual ego, this philosophical outlook lays a cognitive foundation for eradicating the “discriminating mind” in daily life and offers insights into overcoming separatism and isolationism. The Chinese Buddhist pursuit of universal consistency, which is simultaneously of this world yet transcendent, reflects Buddhism’s profound concern for humanity’s shared destiny. Full article

Background: Best-corrected visual acuity (BCVA) is the current gold standard of retinal function measurement but is not affected in early and intermediate forms of age-related macular degeneration (AMD). Increasing evidence suggests that microperimetry is a sensitive measure of visual function. This study sought to analyze the associations between plasma and urine metabolites and microperimetry in AMD. Methods: We included data on 363 eyes (95 controls, 268 AMD). Microperimetry was performed in patients with or without AMD using the Macular Integrity Assessment (MAIA) microperimetry system, employing a 37-point full-threshold protocol. Plasma and urine samples were analyzed via ultra-high-performance liquid chromatography–mass spectrometry. Multilevel mixed-effects linear models were used to assess associations between the metabolites and retinal sensitivity. Statistical significance was determined by considering the number of independent tests that accounted for 80% of the variance (ENT80). Results: We identified two plasma and seven urine metabolites, which were significantly associated with mean retinal sensitivity in AMD, and the key results include metabolites in the lysine metabolism pathway. Conclusions: To our knowledge, we present the first assessment of the associations between plasma and urinary metabolites and retinal microperimetry sensitivity in AMD. This work can reveal more insight into the pathogenesis of AMD. Full article

In the mid-to-late Ming Dynasty, Yunqi Zhuhong 雲栖祩宏 and Ouyi Zhixu 蕅益智旭 integrated Zen thought and Pure Land Buddhism based on the fusion of various Buddhist sects, which facilitated the transition to Chan Jing He Yi (integration of Zen and Pure Land Buddhism 禪淨合一). In this context, Journey to the West 西遊記, published in the late Ming Dynasty, reflects the characteristic of Chan Jing He Yi (integration of Zen and Pure Land Buddhism 禪淨合一). Based on the historical fact that the monk Xuanzang 玄奘 journeyed to India to seek Buddhist scriptures during the Tang Dynasty’s Zhenguan period, four relatively complete literary works that recount the stories of this westward journey were published over nearly a thousand years, from the Tang Dynasty to the Ming Dynasty: Da Ci En Si San Zang Fa Shi Zhuan 大慈恩寺三藏法師傳, Da Tang San Zang Qu Jing Shi Hua 大唐三藏取經詩話, the Journey to the West drama 西遊記雜劇, and Journey to the West. The Buddhist ideas in these four works went through a transformation from advocating yoga theory 瑜伽論 to advocating belief in Vaisravana 毗沙門天王信仰 and then to focusing on the “mind nature 心性” theory of Zen Buddhism. Finally, in Journey to the West, Buddhist thought is aimed at achieving rebirth in the Western Pure Land and supplemented with Chan Buddhist practices, which are aligned with the trend of Chan Jing He Yi (integration of Zen and Pure Land Buddhism 禪淨合一). In Journey to the West, the concepts of Ming Xin Jian Xing (find one’s true self 明心見性) and Ji Xin Ji Fo (the mind is the Buddha 即心即佛) differ from the Zen Buddhism concept of seeing one’s own nature. Instead, it requires seeking other Buddhas and ascending to the Western Pure Land to meet Amitabha Buddha in order to achieve complete spiritual cultivation. This had changed from the Wei Xin Jing Tu (mind-only Pure Land 唯心淨土) theory advocated by Zen Buddhism to the Xi Fang Jing Tu (Western Pure Land 西方淨土) theory advocated by the Pure Land School. The numerous depictions of Pure Land cultivation methods, such as Cheng Ming Nian Fo (chanting the name of Amitabha Buddha 稱名念佛), Chi Jie (commandment keeping 持戒), and the Pure Land reincarnation-type Guanyin faith 淨土往生型觀音信仰, also appear in Journey to the West, reflecting the profound influence of Chan Jing He Yi 禪淨合一 in the mid-to-late Ming Dynasty on Journey to the West. Full article