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In the mid-seventeenth century, Chinese Chan master Yinyuan Longqi 隱元隆琦 (Jp. Ingen Ryūki, 1592–1673), accompanied by several disciples, traveled to Japan and established Ōbaku Zen, a new sect of Zen Buddhism in Tokugawa Japan. Ōbaku art, particularly portrait paintings of Ōbaku abbots and their spiritual predecessors, became critical representations of the sect and greatly influenced later Japanese Buddhist art. While much of the existing scholarship focuses on the artistic and stylistic aspects of Ōbaku portraiture, this paper emphasizes its religious context and doctrinal dimensions. Building on Elizabeth Horton Sharf’s inquiry into the “meaning and function” of Ōbaku portrait painting, the paper investigates how Ōbaku doctrine is expressed through these images. Using the Triptych of Three Zen Masters: Linji, Bodhidharma, and Deshan as a case study, this paper explores the role of portraiture in visually conveying Ōbaku teachings and the religious aspirations of those Chinese immigrant monks. By examining the integration of image, inscription, and seal as a unified “pictorial trinity”, the paper argues that Ōbaku portraiture embodies the sect’s distinct doctrine, rooted in Ming-era Chan practices such as beating, shouting, and strict dharma transmission. Moreover, the prominence of Bodhidharma in Ōbaku portraits, as illustrated in the triptych, reflects these Chinese immigrant monks’ desire to emulate Bodhidharma in spreading the dharma and expanding their sect’s influence in a new land.

In an era marked by the advent of advanced printing technology during the Northern Song period, the tradition of transcribing the Buddhist canon endured rather than promptly fading away. This persistence is particularly noteworthy in the 10th to early 12th centuries when handwritten copies of the canon coexisted with the emerging prevalence of block-printed versions. Notably, the monasteries in the Jiangnan 江南 region remained prolific producers of handwritten copies. This article adopts a socio-political perspective to elucidate the coexistence of handwritten and block-printed copies. It delves into the dynamics of canon replication within a specific temporal and geographical context, unveiling a broader tableau of handwritten copies in the printing era. This exploration necessitates an examination of the intricate interplay between the state, the canon, and Jiangnan society. This study contends that the state’s printing policies before the Xining 熙寧 period (1068–1077), which rigorously regulated the production and dissemination of canonical texts, constituted a pivotal factor in sustaining the tradition of handwritten copies. Furthermore, it identifies a sustained societal demand for possessing the canon for constructing the zhuanlun zang 轉輪藏 (revolving wheel storage cabinet), which was most pronounced in the Jiangnan region. This persistent societal need fortified the enthusiasm for transcribing the canon within Jiangnan monastic communities.

Organic acids could improve the food flavor, maintain the nutritional value, and extend the shelf life of food. This review summarizes the detection methods and concentrations of organic acids in different foods, as well as their taste characteristics and nutritional properties. The composition of organic acids varies in different food. Fruits and vegetables often contain citric acid, creatine is a unique organic acid found in meat, fermented foods have a high content of acetic acid, and seasonings have a wide range of organic acids. Determination of the organic acid contents among different food matrices allows us to monitor the sensory properties, origin identification, and quality control of foods, and further provides a basis for food formulation design. The taste characteristics and the acid taste perception mechanisms of organic acids have made some progress, and binary taste interaction is the key method to decode multiple taste perception. Real food and solution models elucidated that the organic acid has an asymmetric interaction effect on the other four basic taste attributes. In addition, in terms of nutrition and health, organic acids can provide energy and metabolism regulation to protect the human immune and myocardial systems. Moreover, it also exhibited bacterial inhibition by disrupting the internal balance of bacteria and inhibiting enzyme activity. It is of great significance to clarify the synergistic dose-effect relationship between organic acids and other taste sensations and further promote the application of organic acids in food salt reduction.

The gut microbiota has been confirmed as an important part in human health, and is even take as an ‘organ’. The interaction between the gut microbiota and host intestinal environment plays a key role in digestion, metabolism, immunity, inflammation, and diseases. The dietary component is a major factor that affects the composition and function of gut microbiota. Food additives have been widely used to improve the color, taste, aroma, texture, and nutritional quality of processed food. The increasing variety and quantity of processed food in diets lead to increased frequency and dose of food additives exposure, especially artificial food additives, which has become a concern of consumers. There are studies focusing on the impact of food additives on the gut microbiota, as long-term exposure to food additives could induce changes in the microbes, and the gut microbiota is related to human health and disease. Therefore, the aim of this review is to summarize the interaction between the gut microbiota and food additives.

With the success of immune checkpoint inhibitors (ICIs), significant progress has been made in the field of cancer immunotherapy. Despite the long-lasting outcomes in responders, the majority of patients with cancer still do not benefit from this revolutionary therapy. Increasing evidence suggests that one of the major barriers limiting the efficacy of immunotherapy seems to coalesce with the hypoxic tumor microenvironment (TME), which is an intrinsic property of all solid tumors. In addition to its impact on shaping tumor invasion and metastasis, the hypoxic TME plays an essential role in inducing immune suppression and resistance though fostering diverse changes in stromal cell biology. Therefore, targeting hypoxia may provide a means to enhance the efficacy of immunotherapy. In this review, the potential impact of hypoxia within the TME, in terms of key immune cell populations, and the contribution to immune suppression are discussed. In addition, we outline how hypoxia can be manipulated to tailor the immune response and provide a promising combinational therapeutic strategy to improve immunotherapy.

The large scale and shape variation in breast lesions make their segmentation extremely challenging. A breast ultrasound image segmentation model integrating Mamba-CNN and feature interaction is proposed for breast ultrasound images with a large amount of speckle noise and multiple artifacts. The model first uses the visual state space model (VSS) as an encoder for feature extraction to better capture its long-range dependencies. Second, a hybrid attention enhancement mechanism (HAEM) is designed at the bottleneck between the encoder and the decoder to provide fine-grained control of the feature map in both the channel and spatial dimensions, so that the network captures key features and regions more comprehensively. The decoder uses transposed convolution to upsample the feature map, gradually increasing the resolution and recovering its spatial information. Finally, the cross-fusion module (CFM) is constructed to simultaneously focus on the spatial information of the shallow feature map as well as the deep semantic information, which effectively reduces the interference of noise and artifacts. Experiments are carried out on BUSI and UDIAT datasets, and the Dice similarity coefficient and HD95 indexes reach 76.04% and 20.28 mm, respectively, which show that the algorithm can effectively solve the problems of noise and artifacts in ultrasound image segmentation, and the segmentation performance is improved compared with the existing algorithms.

Near-infrared spectroscopy (NIRS) combined with pattern recognition technique has become an important type of non-destructive discriminant method. This review first introduces the basic structure of the qualitative analysis process based on near-infrared spectroscopy. Then, the main pretreatment methods of NIRS data processing are investigated. Principles and recent developments of traditional pattern recognition methods based on NIRS are introduced, including some shallow learning machines and clustering analysis methods. Moreover, the newly developed deep learning methods and their applications of food quality analysis are surveyed, including convolutional neural network (CNN), one-dimensional CNN, and two-dimensional CNN. Finally, several applications of these pattern recognition techniques based on NIRS are compared. The deficiencies of the existing pattern recognition methods and future research directions are also reviewed.

Mental workload and mind-wandering are highly related to driving safety. This study investigated the relationship between mental workload and mind-wandering while driving. Participants (N = 40) were asked to perform a car following task in driving simulator, and report whether they had experienced mind-wandering upon hearing a tone. After driving, participants reported their workload using the NASA-Task Load Index (TLX). Results revealed an interaction between workload and mind-wandering in two different perspectives. First, there was a negative correlation between workload and mind-wandering (r = -0.459, p < 0.01) for different individuals. Second, from temporal perspective workload and mind-wandering frequency increased significantly over task time and were positively correlated. Together, these findings contribute to understanding the roles of workload and mind-wandering in driving.

Mind wandering (MW) is extremely common during driving and is often accompanied by performance losses. This study investigated the use of driving behavior measurements to automatically detect mind wandering state in the driving task. In the experiment, participants (N = 40) performed a car-following task in a driving simulator and reported, upon hearing a tone, whether they were experiencing mind wandering or not. Supervised machine learning techniques were applied to classify MW-absent versus MW-present state, using both driver-independent and driver-dependent modeling methods. In the driver-independent modeling, we separately built models for participants with high or low MW and participants with medium MW. The optimal models can not offer a significant improvement than other models. So building effective driver-independent models with the leave-one-participant-out cross-validation method is challenging. In the driver-dependent modeling, we built models for each participant with medium MW. The best models of some participants were effective. The results indicate the development of mind wandering detecting system should take into account both inter-individual and intra-individual difference. This study provides a step toward minimizing the negative impacts of mindless driving and should benefit other fields of psychological research.

The posttranscriptional modification of messenger RNA (mRNA) and transfer RNA (tRNA) provides an additional layer of regulatory complexity during gene expression. Here, we show that a tRNA methyltransferase, TRMT10A, interacts with an mRNA demethylase FTO (ALKBH9), both in vitro and inside cells. TRMT10A installs N¹-methylguanosine (m¹G) in tRNA, and FTO performs demethylation on N⁶-methyladenosine (m⁶A) and N⁶,2′-O-dimethyladenosine (m⁶Am) in mRNA. We show that TRMT10A ablation not only leads to decreased m¹G in tRNA but also significantly increases m⁶A levels in mRNA. Cross-linking and immunoprecipitation, followed by high-throughput sequencing results show that TRMT10A shares a significant overlap of associated mRNAs with FTO, and these mRNAs have accelerated decay rates potentially through the regulation by a specific m⁶A reader, YTHDF2. Furthermore, transcripts with increased m⁶A upon TRMT10A ablation contain an overrepresentation of m¹G9-containing tRNAs codons read by tRNAGln(TTG), tRNAArg(CCG), and tRNAThr(CGT). These findings collectively reveal the presence of coordinated mRNA and tRNA methylations and demonstrate a mechanism for regulating gene expression through the interactions between mRNA and tRNA modifying enzymes.