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Optically addressable solid-state spins are important platforms for quantum technologies, such as repeaters and sensors. Spins in two-dimensional materials offer an advantage, as the reduced dimensionality enables feasible on-chip integration into devices. Here, we report room-temperature optically detected magnetic resonance (ODMR) from single carbon-related defects in hexagonal boron nitride with up to 100 times stronger contrast than the ensemble average. We identify two distinct bunching timescales in the second-order intensity-correlation measurements for ODMR-active defects, but only one for those without an ODMR response. We also observe either positive or negative ODMR signal for each defect. Based on kinematic models, we relate this bipolarity to highly tuneable internal optical rates. Finally, we resolve an ODMR fine structure in the form of an angle-dependent doublet resonance, indicative of weak but finite zero-field splitting. Our results offer a promising route towards realising a room-temperature spin-photon quantum interface in hexagonal boron nitride. Optically active spins in solid-state materials hold promise for future quantum technologies. Here, the authors demonstrate optically detected magnetic resonance at room temperature for single defects in a two-dimensional material, hexagonal boron nitride.

Super-resolution microscopy has revolutionized the imaging of complex physical and biological systems by surpassing the Abbe diffraction limit. Recent advancements, particularly in single-molecule localization microscopy, have pushed localization below nanometer precision, by applying prior knowledge of correlated fluorescence emission from single emitters. However, achieving a refinement from 1 nm to 1 Ångström demands a hundred-fold increase in collected photon signal. This quadratic resource scaling imposes a fundamental barrier in single-molecule localization microscopy, where the intense photon collection is challenged by photo-bleaching, prolonged integration times, and inherent practical constraints. Here, we break this limit by harnessing the periodic nature of the atomic lattice structure. Applying this discrete grid imaging technique (DIGIT) in a quantum emitter system, we observe an exponential collapse of localization uncertainty once surpassing the host crystal’s atomic lattice constant. We further applied DIGIT to a large-scale quantum emitter array, enabling parallel positioning of each emitter through wide-field imaging. Collectively, these advancements establish DIGIT as a competitive tool for achieving unprecedented, precise measurements, ultimately paving the way to direct optical resolution of crystal and atomic features within quantum and biological systems. The authors present DIGIT, a Bayesian imaging method that maps quantum emitters to lattice sites, achieving 0.178 Å precision and a new exponential scaling law, enabling massively parallel, sub-ångström localization in quantum and biological systems.

Artificial intelligence is rapidly being integrated into Earth science, but how Earth science may benefit artificial intelligence has been overlooked. We call for mutual balancing between the two disciplines and improving cross-disciplinary collaboration.

At present, population mobility for the purpose of tourism has become a popular phenomenon. As it becomes easier to capture big data on the tourist digital footprint, it is possible to analyze the respective regional features and driving forces for both tourism sources and destination regions at a macro level. Based on the data of tourist flows to Nanjing on five short-period national holidays in China, this study first calculated the travel rate of tourist source regions (315 cities) and the geographical concentration index of the visited attractions (51 scenic spots). Then, the spatial autocorrelation metrics index was used to analyze the global autocorrelation of the travel rates of tourist source regions and the geographical concentration index of the tourist destinations on five short-term national holidays. Finally, a heuristic unsupervised machine-learning method was used to analyze and map tourist sources and visited attractions by adopting the travel rate and the geographical concentration index accordingly as regionalized variables. The results indicate that both source and sink regions expressed distinctive regional differentiation patterns in the corresponding regional variables. This study method provides a practical tool for analyzing regionalization of big data in tourist flows, and it can also be applied to other origin-destination (OD) studies.

This research investigates issues associated with the translation of traumatic literary narratives in different languages. Initially, these narratives are constructed from the traumatic lived experiences of the survivors, serving as a means of recovery and making sense out of their painful experiences. However, in many traumatic literary narratives, when the survivor’s testimonies are represented in different languages and cultures, the foundational social trauma, traumatic aftereffects, and recovery are not adequately conveyed. The absence of a systematic and comprehensive theoretical framework in translation studies may result in translators offering uninformed and insufficient interpretations of traumatic elements in literary works. This issue necessitates a thorough and detailed understanding and perspective to assist translators in recognizing and representing the social trauma within literary works, while also acknowledging their social responsibilities. This study argues that trauma/PTSD studies provides an innovative, most fitting, and practical literary criticism to assist translators in adequately interpreting and appreciating traumatic narratives, as well as other serious literature that has heretofore not been discussed and recognized in psychoanalytical terms, by case studies of the translation examination of five Japanese novels.

The Japanese novel, Kokoro (1914), offers a profound insight into early 20th-century Japanese society encompassing history, politics, and literature. Although this novel has been extensively explored in literary and translation studies, the convergence remains underexplored. This study advocates integrating literary criticism with translation practice for a more faithful representation of narratives. Applying trauma/PTSD studies theory, it meticulously analyzes Kokoro, particularly examining the English and Chinese renditions of the pivotal term “談判 (danpan; negotiation)”. The methodology involves constructing a trilingual database, incorporating the Japanese source text and seven translations in English and Chinese. By scrutinizing specific passages, the study delves into trauma-related responses and behaviors, revealing their impact on long-lasting changes in personality and relationships. Emphasis is placed on the translation of key terms, preserving cultural and linguistic nuances. This innovative approach advances both literary criticism and translation theory, emphasizing psychological elements for a nuanced portrayal of characters’ states of mind. The study underscores the significance of trauma narratives in comprehending personal and historical traumas, asserting that translators of trauma literature must blend theoretical knowledge with social responsibility. They serve as “secondary witnesses,” entrusted with accurately transmitting traumatic stories between languages, fostering empathy, and preventing the repetition of tragedies in history. This approach provides an innovative interpretation of Kokoro and its translations, bridging the realms of literary criticism and translation studies.

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Purpose Exploring the determinants of a winery brand reputation (BR) and how those determinants interact is vital for the sustainable development of wineries as well as the growth of the wine industry as a whole. This study aims to test an integrated model to better understand the observed measurement constructs of winery brand reputation, including collective reputation (CR), wine label (WL), expert opinion (EO), social media advertising (SMA) and consumer wine knowledge (CWK). Design/methodology/approach In-depth interviews, an expert panel review and a pilot study were conducted to examine and improve the observed variables. A questionnaire survey was conducted as the main data source for the study. A total of 616 valid questionnaire responses were collected from 102 cities in mainland China and Hong Kong, Macao and Taiwan from December 2021 to April 2022. Structural equation modeling was conducted for the data analysis. Findings This study supported 9 of the 18 proposed theoretical hypotheses. WL, EO and SMA had positive effects on BR. CWK was found to have a moderating effect on the relationship between expert opinions/social media advertising and brand reputation. Research limitations/implications The results of this study can guide wine practitioners, researchers and administrators in brand development, label regulation and consumer education. Originality/value To the best of the authors’ knowledge, this is the first attempt to examine the determinants of winery brand reputation among Chinese wine consumers. This study explains the mechanism of winery brand reputation, demonstrating the dynamics and effects of the observed measurement constructs on brand reputation.

Purpose The use of modern technologies in restaurants has become a trend. For food and beverage services, embracing new technologies helps solve the dilemmas of increasing labor costs and the high level of staff turnover in the industry. However, knowledge regarding how consumers perceive and evaluate technology-assisted dining experiences (TADEs) is limited. This study aims to conceptualize and operationalize TADEs while considering increasing technological applications in restaurants. Design/methodology/approach This study conducted in-depth interviews with 71 restaurant consumers in Nanjing and Wuhan, China. Following the interviews, this study carried out a survey and identified the factor structure of TADEs. Findings The in-depth interviews identified 26 attributes of TADEs. An analysis of the survey data identified four important aspects (with 21 items) of TADEs, namely, novelty and fashion, convenience, high efficiency and restrictions and possible risks. Practical implications Hospitality managers can implement the suggested measures for dining service design and technology management to improve the experiences of customers. Originality/value These findings have theoretical implications for the new phenomenon of technology-integrated dining, the application of technology and consumer management in the catering industry.

Solid-state spin–photon interfaces that combine single-photon generation and long-lived spin coherence with scalable device integration—ideally under ambient conditions—hold great promise for the implementation of quantum networks and sensors. Despite rapid progress reported across several candidate systems, those possessing quantum coherent single spins at room temperature remain extremely rare. Here we report quantum coherent control under ambient conditions of a single-photon-emitting defect spin in a layered van der Waals material, namely, hexagonal boron nitride. We identify that the carbon-related defect has a spin-triplet electronic ground-state manifold. We demonstrate that the spin coherence is predominantly governed by coupling to only a few proximal nuclei and is prolonged by decoupling protocols. Our results serve to introduce a new platform to realize a room-temperature spin qubit coupled to a multiqubit quantum register or quantum sensor with nanoscale sample proximity. Quantum coherent control of single-photon-emitting defect spins have been reported in hexagonal boron nitride, revealing that spin coherence is mainly governed by coupling to a few proximal nuclei and can be prolonged by decoupling protocols.