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Droplets manipulation has attracted increasing attention for its increasingly widespread applications. However, current droplet manipulation usually needs complex preparation methods. Here, inspired by lotus leaves, rive leaves, and desert beetles, triple biomimetic surfaces are prepared through laser and heating. The mastoid structures contribute to the construction of superwettability. Within effective cycles, patterned scanning laser processing helps to achieve various interlaced wettability. The groove structure compensates for the decrease in droplet manipulation ability caused by the attenuation of superwettability. Meanwhile, the groove structure endows the scanning regions with good durability. The groove structure and interlaced wettability together constitute the anisotropic suface patterns. Macroscopic and microscopic droplet manipulation has been successfully achieved, demonstrating widespread applications. This work not only provides a titanium surface with triple biomimetic properties but also provides new insights for various droplet manipulations on metal surfaces.

In the actual exploitation process of coalbed methane (CBM), as the fluid in the wellbore continues to circulate, the surrounding rock of the CBM well will continuously exchange heat with the fluid in the wellbore, resulting in continuous changes in the temperature of the surrounding rock itself. Linfen, Shanxi is the main exploitation area for CBM in China. This paper aims further to improve the exploitation efficiency of CBM in this area and conducts experimental research on the change characteristics of coal-rock mechanical properties under varying temperature conditions. The experimental results show that under constant pressure conditions, the higher the temperature, the lower the stress value when the coal-rock breaks. In the process of reaching peak strength, the higher the temperature, the higher the proportion of coal-rock plastic deformation in its entire deformation stage. The compressive strength, elastic modulus, and main crack length of coal-rock will decrease with temperature. The Poisson's ratio and primary fracture angle will increase with the increase of experimental temperature.

Various methods to solve water scarcity have attracted increasing attention. However, most existing water harvesting schemes have a high demand for preparation methods and costs. Here, a multi-biomimetic double interlaced wetting Janus surface (DIWJS) was prepared by laser for effective fog collection. The as-prepared surfaces are composed of superhydrophilic points/hydrophobic substrates on the A-side and superhydrophilic stripes/hydrophobic substrates on the B-side. The interlaced wettability and superhydrophilic points on the A side are conducive to capture and permeation of droplets. The superhydrophilic stripes and interlaced wettability on the B-side are conducive to transportation and shedding of droplets. Therefore, the overall fog collection process is accelerated. The proposal of smart farm model validates broad application prospects of DIWJS. This work provides an advanced and multi-biomimetic surface and provides important insights for green, low-cost, and versatile strategies to solve water scarcity issues.

Background:Both major depressive disorder (MDD) and schizophrenia (SCH) are characterized by neurodevelopmental abnormalities; however, transdiagnostic and diagnosis-specific patterns of such abnormalities have rarely been examined, particularly in large-scale functional brain networks via advanced multilayer network models.Methods:Here, we collected resting-state functional magnetic resonance imaging data from 45 MDD patients, 64 SCH patients, and 48 healthy controls (HCs; 13–45 years old), and we constructed functional networks in different frequency intervals. The frequency-dependent networks were then fused by multiplex network models, followed by graph-based topological analyses.Results:We found that functional networks of the patients showed common neurodevelopmental abnormalities in the right ventromedial parietooccipital sulcus (opposite correlations with age to HCs), whereas functional networks of the MDD patients exhibited specific alterations in the left superior parietal lobule and right precentral gyrus with respect to cross-frequency interactions. These findings were quite different from those from brain networks within each frequency interval, which revealed SCH-specific neurodevelopmental abnormalities in the right superior temporal gyrus (opposite correlations with age to the other two groups) in 0.027–0.073 Hz, and SCH-specific alterations in the left superior temporal gyrus and bilateral insula in 0.073–0.198 Hz. Finally, multivariate analysis of age prediction revealed that the subcortical network lost prediction ability in both patient groups, whereas the visual network exhibited additional prediction ability in the MDD patients.Discussion and Conclusion:Altogether, these findings demonstrate transdiagnostic and diagnosis-specific neurodevelopmental abnormalities and alterations in large-scale functional brain networks between MDD and SCH, which have important implications for understanding shared and unique neural mechanisms underlying the diseases.Impact statementRecent methodological advances in network neuroscience allow integrating connectivity information from different scales or aspects through multilayer network models. Utilizing such models, we found common and specific neurodevelopmental abnormalities in multiband functional brain networks between major depressive disorder (MDD) and schizophrenia (SCH), and the abnormalities cannot be uncovered by individually analyzing brain networks within each frequency interval. These findings have important implications for understanding shared and unique neural mechanisms underlying MDD and SCH and highlight the necessity of integrating connectivity information from different frequency intervals to search for new biomarkers of the diseases.