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China’s socialist market economy is predominated by strong state-owned sectors. In the real estate market, the government further controls land and regulates social services based on property ownership. But how do ordinary market actors perceive this configuration and strategise their economic practice accordingly? Based on 20 months of ethnographic fieldwork, this article explores buyers’ and estate agents’ imagination of and practice in the housing market with a focus on the folk concept of rigid demand. Rigid demand (gangxu) refers to the belief that people have to buy a home regardless of price. Presenting how people invoke a range of referents and contexts when talking about rigid demand, I show that common Chinese market actors understand and approach the housing market not as an end in itself but as a mechanism devised and maneuvered by big market players such as the government and developers. Furthermore, actors believe that the market has a social purpose and is susceptible to agentive interventions. Ultimately, I argue that the social representation of the socialist housing market constructs and contests the legitimacy of certain economic practices and influences market performance accordingly. 中国的社会主义市场经济主要由强大的国有企业主导。在房地产市场上，政府基于产权进一步 控制土地并调节社会服务。但是，普通的市场行为者如何看待这种格局，并相应地制定其经济 实践策略？本文以2 0 个月的民族志田野调査为基础，以民间刚性需求为切入点，探讨了买房 者和房地产经纪人对房地产市场的想象和实践。刚性需求或刚需是指人们不管价格如何都必须 买房。本文呈现了人们在谈到刚性需求时如何引用一系列的指称和背景，表明中国的普通市场 参与者理解和接近房地产市场并不是将其本身作为目的，而是作为政府和开发商等大型市场参 与者设计和操纵的机制。此外，行为者认为市场有社会目的，易受到能动性干预。最后，本文 认为社会主义住房市场的社会性表述构建并质疑了特定经济实践的正当性，并相应地影响市场 的表现。

High fidelity single-shot readout of qubits is a crucial component for fault-tolerant quantum computing and scalable quantum networks. In recent years, the nitrogen-vacancy (NV) center in diamond has risen as a leading platform for the above applications. The current single-shot readout of the NV electron spin relies on resonance fluorescence method at cryogenic temperature. However, the spin-flip process interrupts the optical cycling transition, therefore, limits the readout fidelity. Here, we introduce a spin-to-charge conversion method assisted by near-infrared (NIR) light to suppress the spin-flip error. This method leverages high spin-selectivity of cryogenic resonance excitation and flexibility of photoionization. We achieve an overall fidelity > 95% for the single-shot readout of an NV center electron spin in the presence of high strain and fast spin-flip process. With further improvements, this technique has the potential to achieve spin readout fidelity exceeding the fault-tolerant threshold, and may also find applications on integrated optoelectronic devices. The NV centre in diamond has been used extensively in quantum information processing; however fault-tolerant readout of its spin remains challenging. Here, Zhang et al demonstrate a robust scheme that achieves high-fidelity readout via spin to charge conversion.

Ultra-wideband technology has good anti-interference capabilities and development prospects in indoor positioning. Since ultra-wideband will be affected by random errors in indoor positioning, to exploit the advantages of the Kalman filter (KF) and the long short-term memory (LSTM) network, this paper proposes a long short-term memory neural network algorithm fused with the Kalman filter (KF–LSTM) to improve UWB positioning. First, the ultra-wideband data is processed through KF to weaken the noise in the data, and then the data is fed into the LSTM network for training, and the capability of the LSTM network to process time series features is employed to obtain more accurate label positions. Finally, simulation and measurement results show that the KF–LSTM algorithm achieves 71.31%, 37.28%, and 49.31% higher average positioning accuracy than the back propagation (BP) network, (back propagation network fused with the Kalman filter (KF-BP), and LSTM network algorithms, respectively, and the KF–LSTM algorithm performs more stably. Meanwhile, the more noise the data contains, the more obvious the stability contrast between the four algorithms.

The problem of trajectory tracking control for underactuated surface vessels with time‐delays, model uncertainty and unknown control directions has been considered in this paper. Firstly, an integration time delayed sliding mode controller is proposed, which decomposes the underactuated non‐linear system into a cascading system consisting of a kinematics subsystem and a dynamics subsystem. Secondly, an adaptive backstepping control method for the heading angle system is proposed, which can drive the heading angle error into a preset interval. Then the Bouc‐wen model is used to describe the hysteresis of the system, Nussbaum gain function is adopted to deal with unknown control directions, and the adaptive controller is designed by combining error transformation with Lyapunov function. Furthermore, a suitable Lyapunov‐Krasovsky function is selected to analyse and prove the global stability of the closed‐loop system. Finally, some numerical simulations show the effectiveness of the presented control methods.

The propagation and attenuation characteristics of blast stress waves in geotechnical media directly influence the fracture behavior of the medium and serve as a crucial basis for optimizing blasting parameter design. To examine the attenuation characteristics of cylindrical blast waves in rocks, the indoor blasting experiments were conducted using sandstone with cylindrical charges. Digital image correlation technology was employed to successfully capture the full-field strain evolution around the borehole during blasting, and the strain–time curves of the rock surrounding the borehole were obtained. To account for the influence of blasting stress wave loading rates on dynamic elastic modulus, Split Hopkinson Pressure Bar tests were performed to establish a precise relationship between dynamic elastic modulus and strain rate. By analyzing the attenuation of the peak strain, a stress wave attenuation equation within the fractured zone was developed, and the stress wave attenuation index was examined. The results indicated that the experimental method effectively simulated the blasting process of cylindrical charges. The strain wave propagation was accompanied by energy transformation, where the descending phase of the strain–time curve represented the rapid energy input to the rock near the borehole due to blast loading, whereas the ascending phase reflected the radial release of elastic energy, further promoting the development of circumferential cracks, albeit at a lower energy release rate than the descending phase. As the distance from the blast center increased, both the dynamic elastic modulus and strain rate of the rock under blast loading decreased, leading to differences between the attenuation characteristics of stress waves and strain waves, with the former following a power function decay. The complex nature of stress wave attenuation in rocks was primarily governed by physical attenuation properties, with the physical attenuation index exceeding the geometric attenuation index in crushed and cracked zones. Finally, the accuracy of the stress wave attenuation equation and the reliability of the experimental method were validated by analyzing the fracture morphology of the blasted specimens and the extent of the cracked zone.

Background In eukaryotes, histone methylation is essential for controlling chromatin structure, gene transcription, and related chromatin processes. Jumonji C (JmjC) domain-containing demethylases (JMJs) regulate histone methylation levels. The JMJ gene family has been discovered in various plants, including Arabidopsis thaliana , Oryza sativa , Malus domestica , and Zea mays . Results In this study, a total of 23 Vitis vinifera VvJMJ gene family members related to histone methylation were identified utilizing genomic and transcript databases. We analyzed the chromosomal location distribution, protein properties, phylogenetic relationships, gene structures, motifs, evolutionary patterns, promoter sequences, and expression profiles of the VvJMJ gene family. The VvJMJ genes were classified into five subfamilies: KDM3, KDM4, KDM5, JMJD6, and JMJC. Co-linearity analysis showed that VvJMJs are highly conserved with AtJMJs and OsJMJs genes. Analysis of the promoter sequences revealed that VvJMJ gene promoter regions are enriched with elements associated with stress response, growth and development, hormone response, and light reactions. Transcriptional profiling and qRT-PCR analysis showed that VvJMJs may play various roles in the multiple biological processes of V. vinifera . For example, VvJMJ2 , VvJMJ16 , VvJMJ18 may participate in the ripening process of V. vinifera fruits; VvJMJ1 , VvJMJ4 , VvJMJ6 , VvJMJ13 , VvJMJ17 , VvJMJ20 , VvJMJ21, VvJMJ23 may participate in various hormone responses; VvJMJ1 , VvJMJ4 , VvJMJ10 , VvJMJ11 may participate in the stress response of V. vinifera . Conclusions This study initially identified the characteristics of V. vinifera JmjC domain-containing genes. The results established a basis for functional analyses of VvJMJ genes in V. vinifera , facilitating the exploration of the mechanisms of underlying the growth, development, and fruit maturation.

Historically, the power system has relied on synchronous generators (SGs) to provide inertia and maintain grid stability. However, because of the increased integration of power-electronics-interfaced renewable energy sources, the grid’s stability has been challenged in the last decade due to a lack of inertia. Currently, the system predominantly uses grid-following (GFL) converters, built on the assumption that inertial sources regulate the system stability. Such an assumption does not hold for the low-inertia grids of the future. Grid-forming (GFM) converters, which mimic the traditional synchronous machinery’s functionalities, have been identified as a potential solution to support the low-inertia grids. The performance analysis of GFM converters for small-signal instability can be found in the literature, but large-signal instability is still an open research question. Moreover, various topologies and configurations of GFM converters have been proposed. Still, no comparative study combining all GFC configurations from the perspective of large-signal stability issues can be found. This paper combines and compares all the existing GFM control schemes from the perspective of large-signal stability issues to pave the way for future research and development of GFM converters for large-signal stability analysis and stabilization of the future low-inertia grids.

Oral squamous cell carcinoma (OSCC), the most common malignancy of the oral and maxillofacial region, severely affects human health. However, current treatments for OSCC commonly show only a ~60% 5-year survival rate of patients with distant metastases, indicating an urgent need for targeted treatments for patients with advanced metastases. Here, we report a survival-related long non-coding RNA, CYTOR, which is highly expressed in the lesions of oral cancer patients. We found that CYTOR can promote both migration and invasion in oral cancer cells as well as the epithelial–mesenchymal transition (EMT). RNA-sequencing of CYTOR-knockdown oral cancer cells revealed that CYTOR can regulate mitochondrial respiration and RNA splicing. Mechanistically, we found that nuclear-localized CYTOR interacts with HNRNPC, resulting in stabilization of ZEB1 mRNAs by inhibiting the nondegradative ubiquitination of HNRNPC. By synthesizing CYTOR-targeting small interfering RNAs (siRNAs) encapsulated in Nanoscale Metal Organic Frameworks (NMOFs), we demonstrate the targeted suppression of CYTOR to inhibit invasion and metastasis of oral cancer cells in a nude mouse model. Cumulatively, this study reveals the potential role of the CYTOR-HNRNPC-ZEB1 axis in regulating mitochondrial metabolism and glycolysis of oral cancer cells, and illustrates the effective use of lncRNA targeting in anti-metastatic cancer therapies.

Objectives We aimed to develop a model for predicting the 4-year risk of knee osteoarthritis (KOA) based on survey data obtained via a random, nationwide sample of Chinese individuals. Methods Data was analyzed from 8193 middle-aged and older adults included in the China Health and Retirement Longitudinal Study (CHARLS). The incident of symptomatic KOA was defined as participants who were free of symptomatic KOA at baseline (CHARLS2011) and diagnosed with symptomatic KOA at the 4-year follow-up (CHARLS2015). The effects of potential predictors on the incident of KOA were estimated using logistic regression models and the final model was internally validated using the bootstrapping technique. Model performance was assessed based on discrimination—area under the receiver operating characteristic curve (AUC)—and calibration. Results A total of 815 incidents of KOA were identified at the 4-year follow-up, resulting in a cumulative incidence of approximately 9.95%. The final multivariable model included age, sex, waist circumference, residential area, difficulty with activities of daily living (ADLs)/instrumental activities of daily living (IADLs), history of hip fracture, depressive symptoms, number of chronic comorbidities, self-rated health status, and level of moderate physical activity (MPA). The risk model showed good discrimination with AUC = 0.719 (95% confidence interval [CI] 0.700–0.737) and optimism-corrected AUC = 0.712 after bootstrap validation. A satisfactory agreement was observed between the observed and predicted probability of incident symptomatic KOA. And a simple clinical score model was developed for quantifying the risk of KOA. Conclusion Our prediction model may aid the early identification of individuals at the greatest risk of developing KOA within 4 years.

Microorganisms consume and transform dissolved organic matter (DOM) into various forms. However, it remains unclear whether the ecological patterns and drivers of DOM chemodiversity are analogous to those of microbial communities. Here, a large-scale investigation is conducted along the Chinese coasts to resolve the intrinsic linkages among the complex intertidal DOM pools, microbial communities and environmental heterogeneity. The abundance of DOM molecular formulae best fits log-normal distribution and follows Taylor’s Law. Distance-decay relationships are observed for labile molecular formulae, while latitudinal diversity gradients are noted for recalcitrant molecular formulae. Latitudinal patterns are also observed for DOM molecular features. Negative cohesion, bacterial diversity, and molecular traits are the main drivers of DOM chemodiversity. Stochasticity analyses demonstrate that determinism dominantly shapes the DOM compositional variations. This study unveils the intrinsic mechanisms underlying the intertidal DOM chemodiversity and microbial communities from ecological perspectives, deepening our understanding of microbially driven chemical ecology. Intertidal DOM follows similar ecological patterns and underlying mechanisms to microbes, suggesting that there may exist universal ecological models explaining the patterns of both living and non-living biological entities in the Earth’s biosphere.