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Authentic leadership has received considerable attention and research support over the past decade. Now the time has come to refine and better understand how it impacts performance. This study investigates the moderating role followers’ positive psychological capital (PsyCap) and the mediating role that leader–member exchange (LMX) may play in influencing the relationship between authentic leadership and followers’ performance. Specifically, we tested this mediated moderation model with matched data from 794 followers and their immediate leaders. We found that authentic leadership is positively related to LMX and consequently followers’ performance, and to a larger degree, among followers who have low rather than high levels of PsyCap. Our discussion highlights the benefits of understanding the roles of relational processes and followers’ positive psychological resources involved in the effectiveness of authentic leadership and how they can be practically implemented.

Photodynamic therapy (PDT) under hypoxic conditions and drug resistance in chemotherapy are perplexing problems in anti‐tumor treatment. In addition, central nervous system neoplasm‐targeted nanoplatforms are urgently required. To address these issues, a new multi‐functional protein hybrid nanoplatform is designed, consisting of transferrin (TFR) as the multicategory solid tumor recognizer and hemoglobin for oxygen supply (ODP‐TH). This protein hybrid framework encapsulates the photosensitizer protoporphyrin IX (PpIX) and chemotherapeutic agent doxorubicin (Dox), which are attached by a glutathione‐responsive disulfide bond. Mechanistically, ODP‐TH crosses the blood–brain barrier (BBB) and specifically aggregated in hypoxic tumors via protein homology recognition. Oxygen and encapsulated drugs ultimately promote a therapeutic effect by down‐regulating the abundance of multidrug resistance gene 1 (MDR1) and hypoxia‐inducible factor‐1‐α (HIF‐1α). The results reveal that ODP‐TH achieves oxygen transport and protein homology recognition in the hypoxic tumor occupation. Indeed, compared with traditional photodynamic chemotherapy, ODP‐TH achieves a more efficient tumor‐inhibiting effect. This study not only overcomes the hypoxia‐related inhibition in combination therapy by targeted oxygen transport but also achieves an effective treatment of multiple tumors, such as breast cancer and glioma, providing a new concept for the construction of a promising multi‐functional targeted and intensive anti‐tumor nanoplatform. A new multi‐functional protein hybrid nanoplatform is designed, consisting of transferrin as the multicategory solid tumor recognizer and hemoglobin for oxygen supply. This study not only overcomes the hypoxia‐related inhibition in combination therapy by targeted oxygen transport but also achieves effective treatment of multiple tumors, providing a new concept for the construction of a promising multi‐functional targeted anti‐tumor nanoplatform.

This follow-up study investigated 896 subjects twice (9 months in between) from one middle school and one primary school in Guangdong province to explore the developments of maternal phubbing and hyperactivity tendency among children, as long as the causal effect between maternal phubbing and hyperactivity tendency among children. The results indicated as follows: maternal phubbing was significantly correlated to hyperactivity tendency among children, which indicated that maternal phubbing is one of the risk factor causing hyperactivity tendency among children．

This study contributes to the empirical research on leadership of multicultural teams from the Positive Organizational Scholarship perspective (POS). Following the information/decision-making processes perspective on team cultural diversity, we examined the positive effect of leaders' global identity, on multicultural team innovation. We proposed that R&D, multicultural team leaders with high global identity foster team-shared innovation goals and motivate team members to adopt communication inclusion behavior, making sure that they all understand each other. Furthermore, we propose that the effect of fostering team shared innovation goals on communication inclusion will be stronger for teams with perceived high, rather than low, cultural diversity and that team communication inclusion will positively affect team innovation. Participants were 574 R&D multicultural team members, their leaders, and their leaders' managers in 82 co-located teams in a Chinese branch of a large, German global organization. Using SEM analysis, our findings supported our research model, demonstrating that multicultural team leaders with high global identity leveraged cultural diversity to promote innovative goals, which further enhanced team communication inclusion and its positive impact on team innovation. We discuss the theoretical and practical implications to the POS perspective on cultural diversity.

Heat transfer in solids is typically conducted through either electrons or atomic vibrations known as phonons. In a vacuum, heat has long been thought to be transferred by radiation but not by phonons because of the lack of a medium 1 . Recent theory, however, has predicted that quantum fluctuations of electromagnetic fields could induce phonon coupling across a vacuum and thereby facilitate heat transfer 2 – 4 . Revealing this unique quantum effect experimentally would bring fundamental insights to quantum thermodynamics 5 and practical implications to thermal management in nanometre-scale technologies 6 . Here we experimentally demonstrate heat transfer induced by quantum fluctuations between two objects separated by a vacuum gap. We use nanomechanical systems to realize strong phonon coupling through vacuum fluctuations, and observe the exchange of thermal energy between individual phonon modes. The experimental observation agrees well with our theoretical calculations and is unambiguously distinguished from other effects such as near-field radiation and electrostatic interaction. Our discovery of phonon transport through quantum fluctuations represents a previously unknown mechanism of heat transfer in addition to the conventional conduction, convection and radiation. It paves the way for the exploitation of quantum vacuum in energy transport at the nanoscale. Conventionally, heat transfer occurs by conduction, convection or radiation, but has also been theoretically predicted to occur through quantum fluctuations across a vacuum; this prediction has now been confirmed experimentally.

Astrocytes become reactive following various brain insults; however, the functions of reactive astrocytes are poorly understood. Here, we show that reactive astrocytes function as phagocytes after transient ischemic injury and appear in a limited spatiotemporal pattern. Following transient brain ischemia, phagocytic astrocytes are observed within the ischemic penumbra region during the later stage of ischemia. However, phagocytic microglia are mainly observed within the ischemic core region during the earlier stage of ischemia. Phagocytic astrocytes upregulate ABCA1 and its pathway molecules, MEGF10 and GULP1, which are required for phagocytosis, and upregulation of ABCA1 alone is sufficient for enhancement of phagocytosis in vitro. Disrupting ABCA1 in reactive astrocytes result in fewer phagocytic inclusions after ischemia. Together, these findings suggest that astrocytes are transformed into a phagocytic phenotype as a result of increase in ABCA1 and its pathway molecules and contribute to remodeling of damaged tissues and penumbra networks. Astrocytic phagocytosis has been shown to play a role in synaptic pruning during development, but whether adult astrocytes possess phagocytic ability is unclear. Here the authors show that following brain ischemia, reactive astrocytes become phagocytic and engulf debris via the ABCA1 pathway.

Sugar beet is one of the main crops for sugar production in the world. With the increasing demand for sugar, more desirable sugar beet genotypes need to be cultivated through plant breeding programs. Precise plant phenotyping in the field still remains challenge. In this study, structure from motion (SFM) approach was used to reconstruct a three-dimensional (3D) model for sugar beets from 20 genotypes at three growth stages in the field. An automatic data processing pipeline was developed to process point clouds of sugar beet including preprocessing, coordinates correction, filtering and segmentation of point cloud of individual plant. Phenotypic traits were also automatically extracted regarding plant height, maximum canopy area, convex hull volume, total leaf area and individual leaf length. Total leaf area and convex hull volume were adopted to explore the relationship with biomass. The results showed that high correlations between measured and estimated values with R2 > 0.8. Statistical analyses between biomass and extracted traits proved that both convex hull volume and total leaf area can predict biomass well. The proposed pipeline can estimate sugar beet traits precisely in the field and provide a basis for sugar beet breeding.

Achieving a satisfactory energy-power combination in a supercapacitor that is based on all-carbon electrodes and operates in benign aqueous media instead of conventional organic electrolytes is a major challenge. For this purpose, we fabricated carbon nanoflakes （20-100 nm in thickness, 5-μm in width） containing an unparalleled combination of a large surface area （3,000 m2-g-1 range） and mesoporosity （up to 72%）. These huge-surface area functionalized carbons （HSAFCs） also had a substantial oxygen and nitrogen content （N10 wt.% combined）, with a significant fraction of redox-active carboxyl/phenol groups in an optimized specimen. Their unique structure and chemistry resulted from a tailored single-step carbonization-activation approach employing （2-benzimidazolyl） acetonitrile combined with potassium hydroxide （KOH）. The HSAFCs exhibited specific capacitances of 474 F-g-1 at 0.5 A.g-1 and 285 F-g-1 at 100 A.g-1 （charging time 〈 3 s） in an aqueous 2 M KOH solution. These values are among the highest reported, especially at high currents. When tested with a stable 1.8-V window in a 1 M Na2SO4 electrolyte, a symmetric supercapacitor device using the fabricated nanoflakes as electrodes yielded a normalized active mass of 24.4 Wh-kg-1 at 223 W·kg-1 and 7.3 Wh·kg-1 at 9,360 W·kg-1. The latter value corresponds to a charge time of 〈3 s. The cyclability of the devices was excellent, with 93% capacitance retention after 10,000 cycles. All the electrochemical results were achieved by employing electrodes with near-commercial mass loadings of 8 mg-cm-2.

Directing acoustic waves along curved paths is critical for applications such as ultrasound imaging, surgery and acoustic cloaking. Metamaterials can direct waves by spatially varying the material properties through which the wave propagates. However, this approach is not always feasible, particularly for acoustic applications. Here we demonstrate the generation of acoustic bottle beams in homogeneous space without using metamaterials. Instead, the sound energy flows through a three-dimensional curved shell in air leaving a close-to-zero pressure region in the middle, exhibiting the capability of circumventing obstacles. By designing the initial phase, we develop a general recipe for creating self-bending wave packets, which can set acoustic beams propagating along arbitrary prescribed convex trajectories. The measured acoustic pulling force experienced by a rigid ball placed inside such a beam confirms the pressure field of the bottle. The demonstrated acoustic bottle and self-bending beams have potential applications in medical ultrasound imaging, therapeutic ultrasound, as well as acoustic levitations and isolations. Acoustic metamaterials provide tailored beams for a range of purposes, but are limited to environments where the material structures can be deployed. By careful choice of phases for a speaker array, Zhang et al . show that bottle or bent beams can be created in air, without the use of metamaterials.

Intelligent fault diagnosis (IFD) plays a crucial role in reducing maintenance costs and enhancing the reliability of safety-critical energy systems (SCESs). In recent years, deep learning-based IFD methods have achieved high fault diagnosis accuracy extracting implicit higher-order correlations between features. However, the excessive long training time of deep learning models conflicts with the requirements of real-time analysis for IFD, hindering their further application in practical industrial environments. To address the aforementioned challenge, this paper proposes an innovative IFD method for SCES that combines the particle swarm optimization (PSO) algorithm and the ensemble broad learning system (EBLS). Specifically, the broad learning system (BLS), known for its low time complexity and high classification accuracy, is adopted as an alternative to deep learning for fault diagnosis in SCES. Furthermore, EBLS is designed to enhance model stability and classification accuracy with high-dimensional small samples by incorporating the random forest (RF) algorithm and an ensemble strategy into the traditional BLS framework. In order to reduce the computational cost of the EBLS, which is constrained by the selection of its hyperparameters, the PSO algorithm is employed to optimize the hyperparameters of the EBLS. Finally, the model is validated through simulated data from a complex nuclear power plant (NPP). Numerical experiments reveal that the proposed method significantly improved the diagnostic efficiency while maintaining high accuracy. In summary, the proposed approach shows great promise for boosting the capabilities of the IFD models for SCES.