Publications by authors named "Zhu Sun"

Background: Cancer metastasis usually means that cancer cells spread to other tissues or organs, and the condition worsens. Identifying whether cancer has metastasized can help doctors infer the progression of a patient's condition and is an essential prerequisite for devising treatment plans. Fluorine 18 fluorodeoxyglucose positron emission tomography/computed tomography ( F -FDG PET/CT) is an advanced cancer diagnostic imaging technique that provides both metabolic and structural information.

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The influence of oat lipids on the structural, thermal, rheological, and in vitro digestibility properties of oat starch under heat processing conditions was investigated. X-ray diffraction, fourier infrared spectroscopy, and differential scanning calorimetry revealed the formation of a V-shaped crystal structure between starch and lipid, resulting in enhanced orderliness and enthalpy. Oat lipids decreased the final viscosity and gel strength of oat starch while weakening the trend towards gel network formation.

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Oat rice with great sensory acceptance was developed based on the combination method of milling and defatting (petroleum ether) treatment. In this study, the effect of milling and defatting treatment on the texture and digestion properties of oat rice was investigated. Results showed that milling and defatting treatment enhanced stickiness, enthalpy, and starch digestibility.

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Developing renewable energy (RE) is the inevitable choice for China to achieve its climate goals. However, financing RE investments remains challenging. Meanwhile, China's digital finance (DF) is profoundly influencing the trajectory of the energy transition.

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Pepino (), a horticultural crop that has experienced significant growth in the highlands of China over the past two decades, is widely embraced by consumers due to its distinctive taste and nutritional advantages. This study focused on the cultivar 'Qingcanxiang' of pepino grown on the Qinghai-Tibetan Plateau was analyzed using UPLC-QTOF-MS and RNA-seq transcriptome sequencing. Fruit samples were collected at three distinct stages of development, and the results of the metabolomics and transcriptomics were compared and correlated.

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Compared with other oat products, consumers in China prefer oat rice and porridge made from naked oat. However, this oat product usually has poor sensory acceptance, which is directly related to the texture properties. This study aimed to use the milling method to improve the oat rice texture.

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Pepino (), a member of the Solanaceae family originating from South America, is cultivated globally. However, the cultivation range and suitable habitat of Pepino have not been extensively studied, which hampers the further development of its cultivation industry. Therefore, we aimed at enrich and expand the planting scope of Pepino.

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Article Synopsis
  • Flavor is a key factor in food popularity, and the unique melon-like flavor of pepino fruit is influenced by various metabolic components from different growing regions.
  • Analysis of metabolomics data and sensory evaluations indicated that pepino from the Jiuquan region had the highest sweetness, flavor intensity, and overall liking ratings, with specific metabolites showing significant contributions to these attributes.
  • Machine learning models, particularly the Radial Sigma SVM, were employed to predict sensory preferences and identify 27 crucial metabolites that enhance pepino flavor, helping differentiate fruits from the three regions studied.
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Microwave (MW) and enzyme catalysis are two emerging processing tools in the field of food industry. Recently, MW has been widely utilized as a novel type of green and safe heating energy. However, the effect of MW irradiation on enzyme activity is not described clearly.

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Recently, one critical issue looms large in the field of recommender systems - there are no effective benchmarks for rigorous evaluation - which consequently leads to unreproducible evaluation and unfair comparison. We, therefore, conduct studies from the perspectives of practical theory and experiments, aiming at benchmarking recommendation for rigorous evaluation. Regarding the theoretical study, a series of hyper-factors affecting recommendation performance throughout the whole evaluation chain are systematically summarized and analyzed via an exhaustive review on 141 papers published at eight top-tier conferences within 2017-2020.

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There is considerable knowledge about plant compounds that produce flavor, scent, and aroma. Aside from the similarities, however, groups of plant-produced nutrients and taste components have little in common with each other. Network analysis holds promise for metabolic gene discovery, which is especially important in plant systems where metabolic networks are not yet fully resolved.

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Different soil nutrients affect the accumulation characteristics of plant metabolites. To investigate the differences among the metabolites of pepino grown in greenhouses on the Loess Plateau in northwest China, we investigated the main soil nutrients and their correlation with metabolites. A total of 269 pepino metabolites were identified using UPLC-QTOF-MS to detect metabolites in fruits from three major pepino growing regions and analyze their differential distribution characteristics.

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Jerusalem artichoke (JA) is a fructan-accumulating crop that has gained popularity in recent years. The objective of the present study was to determine the dynamics of the JA-microbiome during storage. The microbial population on the surface of the JA tuber was determined by next-generation sequencing of 16S rRNA amplicons.

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Article Synopsis
  • The text discusses the growing popularity of group buying (GB) in social e-commerce, where users invite friends to jointly purchase products.
  • It highlights a challenge in the existing recommendation systems, which typically focus on individual product preferences rather than identifying friends who would participate in GBs.
  • The authors propose a new framework, J2PRec, that simultaneously recommends products and potential participants, enhancing the likelihood of successful group purchases through advanced relational data analysis.
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Nonalcoholic fatty liver disease (NAFLD) is a complex pathogenesis of liver disease combined with liver inflammation and gut microbiota dysbiosis. Tectorigenin (Tg) is derived from many plants with excellent anti-inflammation activity. However, the beneficial effect of Tg on NAFLD associated with gut microbiota remained unclear.

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Decorating metallic nanoparticles on the surface of oxide support is a promising approach to tailor the catalytic activity of perovskite. Here, for the first time using thermal shock to rapidly fabricate nanoparticle-decorated materials (NDMs) is proposed. Low-cost and size-tailorable carbon paper is used as the heating source during the thermal shock.

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The uncertain check-ins bring challenges for current static next point-of-interest (POI) recommendation methods. Fortunately, the conversation-based recommendation has been shown the merit of integrating immediate user preference for more accurate recommendations. We, therefore, propose a conversation-based adaptive relational translation (CART) approach for the next POI recommendation over uncertain check-ins.

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Perovskite oxides are widely used in electrochemical cells, profiting from their excellent accommodation of different elements and structure stability. Here, it is reported that when rapidly exceeding the electrochemical stability window of a perovskite oxide through electrochemical treatment, nanoparticles can dynamically exsolve from the perovskite lattice, yielding a nanoparticle decorated material (NDM) with fascinating particle population and distribution. It is reported that as compared to the NDM produced by chemical gas reduction, electrochemical treatment fabricated NDM shows much better electrochemical performance.

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Article Synopsis
  • Deep reinforcement learning (DRL) policies can be misled by unforeseen disturbances during testing, making them vulnerable to attacks that weren't accounted for during training.
  • A common solution involves explicitly incorporating adversarial information into the training, which can be costly and might not effectively guard against other types of attacks.
  • The proposed method focuses on a novel adversary agnostic robust DRL approach that uses a policy distillation framework to enhance robustness without relying on predefined adversaries, validated by theoretical analysis and experiments on Atari games.
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To observe the effects of acupuncture on the endoplasmic reticulum (ER) functional enzymes sarcoplasmic reticulum Ca-ATPase (SERCA), protein disulfide isomerase (PDI), glucose-regulated protein 78(GRP78) and PERK pathways in rats with exercise-induced skeletal muscle damage, and to explore the mechanisms of acupuncture in preventing and treating exercise-induced skeletal muscle damage. Eight-week-old male SD rats were randomly divided into control group (group C, =6), exercise group (group E, =30), acupuncture group (group A, =30) and exercise acupuncture group (group EA, =30). Among them, the E and EA group were established an exercise-induced skeletal muscle damage model by a single eccentric exercise, and acupuncture intervention was applied 0.

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Perovskites are promising alternative materials for conventional Ni-based cermet anodes, benefitting from their mixed ionic and electronic conductivity properties and good structure stability. However, they generally show a commonplace electrochemical catalytic activity. Here, a novel anode material LaSrTiCoFeO (LSTCF) is successfully synthesized, and we report that the electrochemical performance of LSTCF can be commendably tuned by gas treatment, deriving from the exsolution of the impressively well-distributed Co-Fe alloy nanocatalyst with splendid catalytic activity for hydrogen electrochemical oxidation.

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Most tumors have more severe hypoxia levels than normal tissue; tumor hypoxia is thus a useful target for cancer treatment. Here, we develop an effective oxygen delivery vehicle of polydopamine-nanoparticle-stabilized oxygen microcapsules by interfacial polymerization. The oxygen microcapsules have excellent biocompatibility.

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Nanoparticles with diverse structures and unique properties have attracted increasing attention for their widespread applications. Co-precipitation under rapid mixing is an effective method to obtained biocompatible nanoparticles and diverse particle carriers are achieved by controlled phase separation via interfacial tensions. In this Minireview, we summarize the underlying mechanism of co-precipitation and show that rapid mixing is important to ensure co-precipitation.

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Molecular-surfactant-stabilized emulsions are susceptible to coalescence and Ostwald ripening. Amphiphilic particles, which have a much stronger anchoring strength at the interface, could effectively alleviate these problems to form stable Pickering emulsions. Herein, we describe a versatile method to fabricate biocompatible amphiphilic dimer particles through controlled coprecipitation and phase separation.

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Article Synopsis
  • - A new perovskite oxide, SmSrFeTiRuO (SSFTR), has been discovered that serves as a promising symmetrical electrode material, demonstrating strong stability in both reducing and oxidizing environments.
  • - SSFTR’s performance is highlighted by a peak power density of 271 mW·cm at 800 °C in wet hydrogen, which improves to 417 mW·cm when utilizing A-site-deficient variants, thanks to the formation of active Ru nanoparticles that enhance electrocatalytic activity.
  • - This study suggests that the method of exsolving nanoparticles on electrode surfaces could be a useful strategy for designing high-performance electrodes in symmetrical solid oxide fuel cells (SOFCs) and other electrochemical
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