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Heart failure (HF) is a common disease and a major public health problem. HF mortality prediction is critical for developing individualized prevention and treatment plans. However, due to their lack of interpretability, most HF mortality prediction models have not yet reached clinical practice. We aimed to develop an interpretable model to predict the mortality risk for patients with HF in intensive care units (ICUs) and used the SHapley Additive exPlanation (SHAP) method to explain the extreme gradient boosting (XGBoost) model and explore prognostic factors for HF. In this retrospective cohort study, we achieved model development and performance comparison on the eICU Collaborative Research Database (eICU-CRD). We extracted data during the first 24 hours of each ICU admission, and the data set was randomly divided, with 70% used for model training and 30% used for model validation. The prediction performance of the XGBoost model was compared with three other machine learning models by the area under the curve. We used the SHAP method to explain the XGBoost model. A total of 2798 eligible patients with HF were included in the final cohort for this study. The observed in-hospital mortality of patients with HF was 9.97%. Comparatively, the XGBoost model had the highest predictive performance among four models with an area under the curve (AUC) of 0.824 (95% CI 0.7766-0.8708), whereas support vector machine had the poorest generalization ability (AUC=0.701, 95% CI 0.6433-0.7582). The decision curve showed that the net benefit of the XGBoost model surpassed those of other machine learning models at 10% 28% threshold probabilities. The SHAP method reveals the top 20 predictors of HF according to the importance ranking, and the average of the blood urea nitrogen was recognized as the most important predictor variable. The interpretable predictive model helps physicians more accurately predict the mortality risk in ICU patients with HF, and therefore, provides better treatment plans and optimal resource allocation for their patients. In addition, the interpretable framework can increase the transparency of the model and facilitate understanding the reliability of the predictive model for the physicians.

Background Increasing evidence showed that lncRNAs are involved in the procession of atherosclerosis (AS). This study detected MAGI2-AS3 expression in the serum of AS patients and further investigated the mechanism of MAGI2-AS3 in AS. Methods MAGI2-AS3 and miR-525-5p in the AS patients’ serum and oxidized low-density lipoprotein (ox-LDL) induced human coronary artery smooth muscle cells (HCASMCs) were quantified by qRT-PCR. Spearman correlation was calculated between MAGI2-AS3 and clinical indexes or miR-525-5p. ROC curve analyzed the clinical diagnostic performance of MAGI2-AS3. Small interfering RNA targeting MAGI2-AS3 (si-MAGI2-AS3) silenced MAGI2-AS3 expression. HCASMCs proliferation, migration, and apoptosis were assayed by CCK-8, transwell, and flow cytometry, respectively. The target miR-525-5p was predicted by StarBase and verified by dual-luciferase reporter assay and co-transfection. Results MAGI2-AS3 increased in the AS patients’ serum and ox-LDL-induced HCASMCs. MAGI2-AS3 was negatively associated with C-reactive protein (CRP) and carotid intima-media thickness (CIMT). The ROC curve confirmed the efficacy of MAGI2-AS3 in distinguishing AS from control subjects. Silencing MAGI2-AS3 reversed the enhancement of proliferation and migration and the reduction of apoptosis caused by ox-LDL in HCASMCs. MiR-525-5p was predicted as a target and further verified by dual-luciferase assay. MiR-525-5p declined in both the serum of AS patients and ox-LDL-induced HCASMCs. Rescue experiments showed that miR-525-5p downregulation inverted the decrease in proliferation and migration, and the increase in apoptosis due to si-MAGI2-AS3 treatment. Conclusions In summary, our study demonstrated that MAGI2-AS3 participates in AS progression by sponging the miR-525-5p, indicating that MAGI2-AS3 may be a potential biomarker of AS.

Janus fiber membranes enable directional liquid transport (DLT) for oil-water separation and moisture management, yet conventional pore-channel designs offer limited efficiency. Herein, we have developed a groundbreaking Janus nanofiber structure inspired by the structural characteristics of plant leaves, specifically the pore gradient and liquid transport channels within leaves. An innovative intermediate buffer layer composed of a three-dimensional helical nanofiber membrane was introduced to boost porosity and horizontal interconnectivity. A dopamine-controlled regulation mechanism synergistically optimized the pore structure and wettability of this layer. The resulting Janus membrane exhibits a remarkable unidirectional transport index (1250%), a high oil-water separation efficiency (98.92%), and an ultra-high flux (13860.77 L·m⁻²·h⁻¹). Its integration with textiles demonstrates superior moisture and thermal management, confirming its versatility for applications in oil-water separation, industrial wastewater treatment, and high-performance functional garments. Directional liquid transport driven by the asymmetric properties of Janus fiber membranes has been used in oil-water separation and moisture management but showing limited water transport efficiency. Here, the authors optimize the porous channels of directional liquid transport Janus fiber membranes by integrating longitudinal channels with a horizontal network.

Counterproductive work behavior significantly increase a firm’s operating costs and resource wastage, thus seriously impairing organizational performance. Therefore, it is crucial to identify the reasons why employees engage in counterproductive work behavior. This study uses Affective Event Theory (AET) as a theoretical framework to reveal how exploitative leadership further influences employees’ behavioral choices by affecting their emotions. Specifically, exploitative leadership influences employees’ behavioral decisions by triggering their anger; employee anger plays a key mediating role between exploitative leadership and counterproductive work behavior, a finding that provides deeper theoretical support for the central role of emotions in organizational behavior. In addition, this study examines the moderating role of power distance. While traditional studies have focused on the direct effects of leadership behavior on employee outcomes, this study further reveals how power distance affects employees’ emotional intensity and behavioral response patterns, thereby providing a more comprehensive understanding of employees’ emotional and behavioral performance in the face of exploitative leadership. Data analysis of 294 Chinese SME employees revealed that exploitative leadership has a significant positive effect on employee anger and counterproductive work behavior; employee anger mediates the relationship between exploitative leadership and counterproductive work behavior, while power distance has a significant negative moderating effect in this relationship. Based on these findings, this study not only expands the scope of exploitative leadership research, but also provides new perspectives and ideas for understanding the role of power distance in leadership research. In addition, this study provides targeted practical recommendations for optimizing leadership styles, enhancing employee mental health support, and reducing counterproductive work behavior. Plain Language Summary Using affective event theory (AET) as a theoretical framework, this study articulated the process by which exploitative leadership influences counterproductive work behavior. Specifically, the mediating role of employee anger is verified in the process of exploitative leadership, which induces counterproductive work behavior. Additionally, the moderating role of power distance and its moderating mediating role are also verified.

In the quantum era, the rapid development of enterprises cannot be separated from the efforts of employees, and the improvement of employee performance is also closely related to the behavior and attitude of organizational leaders. Quantum leadership, as a new leadership paradigm, differs from traditional Newtonian classical mechanics in that it emphasizes wholeness and interconnectedness, considers new ideas as the key to success, and values complex changes in the organizational environment, thus helping the organization provide sustainable development in the future. In addition, quantum leadership is able to manage in chaotic and potentially uncertain environments, encouraging employees to explore new ideas for solving problems, stimulating enthusiasm and motivation for innovation, and thus improving the level of employee performance. In particular, as the importance of innovation performance has been emphasized, it has been considered as a key variable in driving and promoting sustainable organizational development. Moreover, this study is different from previous studies that validate traditional leadership. We focus on an emerging type of leadership that distinguishes itself from traditional leadership—quantum leadership—which is a leadership model that is currently receiving a lot of attention. In the uncertain future environment, quantum leadership is gradually becoming a key factor for business growth and plays an important role in the survival and development of organizations in the future environment. Based on this research background, this study argues that quantum leadership is closely related to employee innovation performance. This study examines whether quantum leadership improves employee innovation performance and the sequential multiple mediating effects of organizational intelligence and knowledge sharing. Most of the previous studies focused only on the mediating or moderating role of the model. This study expands this area of research by incorporating the moderating role of innovative culture and validating its effects. This finding explores the development of quantum leadership and provides a theoretical foundation for related research. In addition, this study collected data from 345 employees of Chinese SMEs in the context of the fourth industrial revolution. These results suggest that quantum leadership positively affects innovation performance. Organizational intelligence and knowledge sharing have multiple serial mediating effects on quantum leadership and innovation performance. Moreover, the interaction between innovative culture and knowledge sharing improves employees’ innovation performance. Therefore, this study clarifies the causal relationship between quantum leadership and innovation performance through theoretical and validated research models. It lays the foundation for the sustainable development of organizations in the future.

Adsorption stands as an economically viable, efficient, recyclable, operationally straightforward, cost-effective, and low-sludge method extensively employed for phosphorus removal. In an effort to enhance the adsorption capabilities of the adsorbent, this study employs the rare-earth metal lanthanum in conjunction with the group’s previously researched high-efficiency composite industrial residue phosphorus removal materials (EPRC) for modification, thereby generating lanthanum-modified reinforced composite phosphorus removal materials (La-EPRC). Subsequently, the novel material undergoes static modification, followed by experimental investigations into static and dynamic adsorption for phosphorus removal. Static adsorption experiments reveal optimal phosphorus removal efficiency when the initial phosphorus solution concentration is 20 mgP/L, with a La-EPRC particle dosage of 3 g/250 mL and a temperature of 25 °C. The removal efficiency of phosphorus particles is above 90% within the pH range of 4 to 10. Common coexisting anions in water, including Cl−, SO42−, HCO3−, and CO32−, demonstrate minimal impact on the efficacy of phosphorus removal. La-EPRC demonstrates a robust adsorption stability in both water and hot water environments. In a 2.5 mol/L NaOH solution, effective desorption of La-EPRC particles is observed, facilitating material regeneration. The raw materials for La-EPRC are easily accessible and cost-effective, imparting significant potential for widespread applications.

An organizational ethical climate enhances the degree of collaboration and cohesion among employees and facilitates the development and interests of organizations. Such roles lead to organizational sustainable development and survival. Therefore, the importance of ethical climate in organizations is becoming increasingly apparent. In this background, this study aims to explore whether an organizational ethical climate can improve whistleblowing behavior and the mediating role of organizational identification in promoting whistleblowing behavior. Most previous studies have only focused on the mediating or moderating role of the model. This study expands the research field, adds the dual moderation of person–organization value congruence and leader ethical behavior, and verifies two moderated mediation models. Overall, the purpose of this study is to determine the behavior of employees under the influence of an organizational ethical climate and, on this basis, propose suggestions for strengthening organizational ethical climate, expanding the scope of research on organizational climate and providing a theoretical basis for related research. In order to achieve the research goals, the data were collected from 344 Chinese SMEs for empirical analysis. The results showed that an organizational ethical climate has no direct impact on whistleblowing behavior but could have a positive effect on whistleblowing formation through the mediating variable of organizational identification. In addition, person–organization value congruence and leader ethical behavior significantly moderated the mediating role of organizational identification between organizational ethical climate and whistleblowing behavior. Finally, the directions that can contribute to future research were suggested.

Carbon aerogels synthesized via the polymerization of resorcinol (R) and formaldehyde (F) exhibit remarkable physiochemical properties, such as high thermal stability and excellent electrical conductivity. However, their limited specific surface area and porosity restrict their application potential. Herein, we developed hierarchical porous carbon aerogels using a one-step carbonization and activation method, directly converting the resin into carbon aerogel material by adding KOH as an activating agent. In contrast to conventional carbon aerogels with an irregular block ground structure, our hierarchical porous carbon aerogels exhibit substantially enhanced specific surface area, total pore volume, and surface oxygen content. In addition, this straightforward one-step fabrication approach holds significant promise for energy storage applications. Notably, the hierarchical porous carbon aerogel C1, with a KOH/RF mass ratio of 1, was proven to be the most effective electrode candidates, achieving a specific capacitance of 261.9 F·g−1 at 1 A·g−1 and 208.2 F·g−1 at 20 A·g−1. Moreover, it exhibited an outstanding rate capability of 79.5% and excellent capacity retention of approximately 97.5% after 10,000 cycles (7 A·g−1). This work highlights a promising approach for synthesizing commercial-grade carbon aerogels with hierarchical porosity, enabling high-performance energy storage applications.

ClpX and ClpP are involved in many important functions, including stress responses and energy metabolism, in microorganisms. However, the ClpX and ClpP of microbes used in industrial scale have rarely been studied. Industrial bacterial fermentation experiences a variety of stresses, and energy metabolism is extremely important for industrial bacteria. Thus, the role played by the ClpX and ClpP of industrial bacteria in fermentation should be investigated. Most microorganisms have a single clpP gene, while Corynebacterium crenatum AS 1.542 possesses two clpPs. Herein, the clpX, clpP1, and clpP2 of C. crenatum were cloned, and its fusion protein was expressed and characterized. We also constructed clpX deletion mutant and complementation strain. Results indicate that ClpX serves an important function in thermal, pH, and ethanol stresses. It is also involved in NADPH synthesis and glucose consumption during fermentation.

Flexible tactile sensors have been utilized in intelligent robotics for human-machine interaction and healthcare monitoring. The relatively low flexibility, unbalanced sensitivity and sensing range of the tactile sensors are hindering the accurate tactile information perception during robotic hand grasping of different objects. This paper developed a fully flexible tactile pressure sensor, using the flexible graphene and silver composites as the sensing element and stretchable electrodes, respectively. As for the structural design of the tactile sensor, the proposed bilayer interlaced bumps can be used to convert external pressure into the stretching of graphene composites. The fabricated tactile sensor exhibits a high sensing performance, including relatively high sensitivity (up to 3.40% kPa−1), wide sensing range (200 kPa), good dynamic response, and considerable repeatability. Then, the tactile sensor has been integrated with the robotic hand finger, and the grasping results have indicated the capability of using the tactile sensor to detect the distributed pressure during grasping applications. The grasping motions, properties of the objects can be further analyzed through the acquired tactile information in time and spatial domains, demonstrating the potential applications of the tactile sensor in intelligent robotics and human-machine interfaces.