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This study aimed to investigate the involvement of the Wnt signalling pathway in the pathogenesis of non-obstructive azoospermia (NOA) and to identify potential diagnostic and therapeutic targets. We obtained the gene expression profiles of NOA patients from the GEO database, screened for differentially expressed genes (DEGs) and NOA-associated co-expressing gene modules, then intersected the DEGs with related genes in the Wnt signalling pathway and identified key genes. LASSO regression analysis was used to find hub genes, and qRT-PCR and WB methods were used to verify the expression of key genes in NOA patients. The immune infiltration and GSEA were conducted in order to investigate the relationship between hub genes and immune cells infiltration and NOA-associated pathways; furthermore, we built the miRNA-mRNA-TF regulatory network and predicted possible small molecules drug targets of the hub gene. Four candidate genes were related to NOA: CSNK1G2, GNG3, H2AFB1 and PARD6A. The key hub gene was CSNK1G2 based on the results of the LASSO regression analysis, and its expression level was significantly down-regulated in NOA patients. The immune infiltration analysis and GSEA results showed that the expression level of CSNK1G2 had a close relationship with immune cells infiltration and NOA-related pathways. Furthermore, we built a miRNA-mRNA-TF regulatory network and predicted the possible small molecule drugs of CSNK1G2. Our findings suggest that the Wnt signalling pathway, particularly CSNK1G2, plays a crucial role in the pathogenesis of NOA. CSNK1G2 may be a novel target for the diagnosis and treatment of NOA.
We examine how Confucian culture operates as an informal institution by fostering relational contracts that substitute for formal legal frameworks in shaping corporate behavior. Using data on historical Confucian academies near firms’ headquarters in China, we find that greater cultural exposure is associated with higher investment in stakeholder relationships—measured by social contribution, stakeholder protection, courtesy expenses, patenting, and trade credit. These effects persist after controlling for human capital and alternative cultural influences, and weaken in regions with stronger formal institutions. Our findings highlight the enduring role of culture in supporting trust-based governance when formal contracting is limited.
This focused textbook demonstrates cutting-edge concepts at the intersection of machine learning (ML) and wireless communications, providing students with a deep and insightful understanding of this emerging field. It introduces students to a broad array of ML tools for effective wireless system design, and supports them in exploring ways in which future wireless networks can be designed to enable more effective deployment of federated and distributed learning techniques to enable AI systems. Requiring no previous knowledge of ML, this accessible introduction includes over 20 worked examples demonstrating the use of theoretical principles to address real-world challenges, and over 100 end-of-chapter exercises to cement student understanding, including hands-on computational exercises using Python. Accompanied by code supplements and solutions for instructors, this is the ideal textbook for a single-semester senior undergraduate or graduate course for students in electrical engineering, and an invaluable reference for academic researchers and professional engineers in wireless communications.
Le Liang, Southeast University, Nanjing,Shi Jin, Southeast University, Nanjing,Hao Ye, University of California, Santa Cruz,Geoffrey Ye Li, Imperial College of Science, Technology and Medicine, London
Le Liang, Southeast University, Nanjing,Shi Jin, Southeast University, Nanjing,Hao Ye, University of California, Santa Cruz,Geoffrey Ye Li, Imperial College of Science, Technology and Medicine, London
Le Liang, Southeast University, Nanjing,Shi Jin, Southeast University, Nanjing,Hao Ye, University of California, Santa Cruz,Geoffrey Ye Li, Imperial College of Science, Technology and Medicine, London
Le Liang, Southeast University, Nanjing,Shi Jin, Southeast University, Nanjing,Hao Ye, University of California, Santa Cruz,Geoffrey Ye Li, Imperial College of Science, Technology and Medicine, London
Le Liang, Southeast University, Nanjing,Shi Jin, Southeast University, Nanjing,Hao Ye, University of California, Santa Cruz,Geoffrey Ye Li, Imperial College of Science, Technology and Medicine, London
Le Liang, Southeast University, Nanjing,Shi Jin, Southeast University, Nanjing,Hao Ye, University of California, Santa Cruz,Geoffrey Ye Li, Imperial College of Science, Technology and Medicine, London
Le Liang, Southeast University, Nanjing,Shi Jin, Southeast University, Nanjing,Hao Ye, University of California, Santa Cruz,Geoffrey Ye Li, Imperial College of Science, Technology and Medicine, London
Le Liang, Southeast University, Nanjing,Shi Jin, Southeast University, Nanjing,Hao Ye, University of California, Santa Cruz,Geoffrey Ye Li, Imperial College of Science, Technology and Medicine, London
Le Liang, Southeast University, Nanjing,Shi Jin, Southeast University, Nanjing,Hao Ye, University of California, Santa Cruz,Geoffrey Ye Li, Imperial College of Science, Technology and Medicine, London
Le Liang, Southeast University, Nanjing,Shi Jin, Southeast University, Nanjing,Hao Ye, University of California, Santa Cruz,Geoffrey Ye Li, Imperial College of Science, Technology and Medicine, London
Le Liang, Southeast University, Nanjing,Shi Jin, Southeast University, Nanjing,Hao Ye, University of California, Santa Cruz,Geoffrey Ye Li, Imperial College of Science, Technology and Medicine, London
Le Liang, Southeast University, Nanjing,Shi Jin, Southeast University, Nanjing,Hao Ye, University of California, Santa Cruz,Geoffrey Ye Li, Imperial College of Science, Technology and Medicine, London
Coherent combining of several low-energy few-cycle beams offers a reliable and feasible approach to producing few-cycle laser pulses with energies exceeding the multi-joule level. However, time synchronization and carrier-envelope phase difference (ΔCEP) between pulses significantly affect the temporal waveform and intensity of the combined pulse, requiring precise measurement and control. Here, we propose a concise optical method based on the phase retrieval of spectral interference and quadratic function symmetry axis fitting to simultaneously measure the time synchronization and ΔCEP between few-cycle pulses. The control precision of our coherent beam combining system can achieve a time delay stability within 42 as and ΔCEP measurement precision of 40 mrad, enabling a maximum combining efficiency of 98.5%. This method can effectively improve the performance and stability of coherent beam combining systems for few-cycle lasers, which will facilitate the obtaining of high-quality few-cycle lasers with high energy.
The Mamyshev oscillator (MO) is well-known for its high modulation depth, which provides an excellent platform for achieving both high average power and short pulse durations. However, this characteristic typically limits the high-repetition-rate pulse generation. Herein, we construct an MO that achieves a gigahertz (GHz) repetition rate through harmonic mode-locking. The laser can reach up to the 93rd order, which corresponds to the repetition rate of 1.6 GHz. The maximum achieved output average power is 3 W at a repetition rate of 1.2 GHz (69th order), with the corresponding pulse duration compressed to 51 fs. To our knowledge, this is the first time that the GHz repetition rate in an MO has been obtained simultaneously with the recorded average power and pulse duration.
Laser-driven inertial confinement fusion (ICF) diagnostics play a crucial role in understanding the complex physical processes governing ICF and enabling ignition. During the ICF process, the interaction between the high-power laser and ablation material leads to the formation of a plasma critical surface, which reflects a significant portion of the driving laser, reducing the efficiency of laser energy conversion into implosive kinetic energy. Effective diagnostic methods for the critical surface remain elusive. In this work, we propose a novel optical diagnostic approach to investigate the plasma critical surface. This method has been experimentally validated, providing new insights into the critical surface morphology and dynamics. This advancement represents a significant step forward in ICF diagnostic capabilities, with the potential to inform strategies for enhancing the uniformity of the driving laser and target surface, ultimately improving the efficiency of converting laser energy into implosion kinetic energy and enabling ignition.
In contemporary neuroimaging studies, it has been observed that patients with major depressive disorder (MDD) exhibit aberrant spontaneous neural activity, commonly quantified through the amplitude of low-frequency fluctuations (ALFF). However, the substantial individual heterogeneity among patients poses a challenge to reaching a unified conclusion.
Methods
To address this variability, our study adopts a novel framework to parse individualized ALFF abnormalities. We hypothesize that individualized ALFF abnormalities can be portrayed as a unique linear combination of shared differential factors. Our study involved two large multi-center datasets, comprising 2424 patients with MDD and 2183 healthy controls. In patients, individualized ALFF abnormalities were derived through normative modeling and further deconstructed into differential factors using non-negative matrix factorization.
Results
Two positive and two negative factors were identified. These factors were closely linked to clinical characteristics and explained group-level ALFF abnormalities in the two datasets. Moreover, these factors exhibited distinct associations with the distribution of neurotransmitter receptors/transporters, transcriptional profiles of inflammation-related genes, and connectome-informed epicenters, underscoring their neurobiological relevance. Additionally, factor compositions facilitated the identification of four distinct depressive subtypes, each characterized by unique abnormal ALFF patterns and clinical features. Importantly, these findings were successfully replicated in another dataset with different acquisition equipment, protocols, preprocessing strategies, and medication statuses, validating their robustness and generalizability.
Conclusions
This research identifies shared differential factors underlying individual spontaneous neural activity abnormalities in MDD and contributes novel insights into the heterogeneity of spontaneous neural activity abnormalities in MDD.
In response to the complex and challenging task of long-distance inspection of small-diameter and variable-diameter mine holes, this paper presents a design for an adaptive small-sized mine hole robot. First, focusing on the environment of small-diameter mine holes, the paper analyzes the robot’s functions and overall structural framework. A two-wheeled wall-pressing robot with good mobility, arranged in a straight line, is designed. Furthermore, an adaptive variable-diameter method is devised, which involves constructing an adaptive variable-diameter model and proposing a control method based on position and force estimators, enabling the robot to perceive external forces. Lastly, to verify the feasibility of the structural design and adaptive variable-diameter method, performance tests and analyses are conducted on the robot’s mobility and adaptive variable-diameter capabilities. Experimental results demonstrate that the robot can move within small-diameter mine holes at any inclination angle, with a maximum horizontal crawling speed of 3.96 m/min. By employing the adaptive variable-diameter method, the robot can smoothly navigate convex platform obstacles and slope obstacles in mine holes with diameters ranging from 70 mm to 100 mm, achieving the function of adaptive variable-diameter within 2 s. Thus, it can meet the requirements of moving inside mine holes under complex conditions such as steep slopes and small and variable diameters.