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Photocatalytic ammonia synthesis (PAS) is an emerging zero carbon emission technology, which is critical for mitigating energy crises and achieving carbon neutrality. Herein, we summarize the recent advances and challenges in PAS from an engineering perspective based on its whole chain process, i.e., materials engineering, structure engineering and reaction engineering. For materials engineering, we discuss the commonly used photocatalytic materials including metal oxides, bismuth oxyhalides and graphitic carbon nitride and emerging materials, such as organic frameworks, along with the analysis of their characteristics and regulation methods to enhance the PAS performance. For structure engineering, the design of photocatalysts is described in terms of morphology, vacancy and band, corresponding to the crystal, atom and electron scales, respectively. Moreover, the structure–performance relationship of photocatalysts has been deeply explored in this section. For reaction engineering, we identify three key processes from the chemical reaction and mass transfer, i.e., nitrogen activation, molecule transfer and electron transfer, to intensify and optimize the PAS reaction. Hopefully, this review will provide a novel paradigm for the design and preparation of high-efficiency ammonia synthesis photocatalysts and inspire the practical application of PAS. [ABSTRACT FROM AUTHOR]

In modern electronic warfare, cognitive radar with knowledge-aided waveforms would show significant flexibility in anti-interference. In this paper, a novel method, named particle swarm-assisted projection optimization (PSAP), is introduced to design phase-coded waveforms with multi-level low range sidelobes, which mainly considers the stability for randomized initialization under the unimodular constraint. Firstly, the mathematical problem corresponding to avoid the range sidelobe masking from multiple non-cooperative targets or interference is formulated by giving different threat levels. Then, based on the alternating direction decomposition idea, the original problem is divided into triple-variable ones where these non-linear approximations can be solved via alternating projections along with FFT. Furthermore, the PSAP method with swarm intelligence, learning factor, and particle-assisted projection could ensure the optimization convergence in a parallel way, which could relax the non-convex constraint and enhance the global exploiting performance. Finally, simulations for several typical scenarios and numerical results are all provided to assess the waveforms generated by PSAP and other prevalent ones. [ABSTRACT FROM AUTHOR]

The article discusses the importance of accurate monitoring and early warning of heavy rainfall induced by strong convection for preventing natural disasters such as floods and landslides. It highlights the use of weather radars as the most powerful technique for monitoring natural hazards caused by heavy rainstorms. The article also covers various topics related to radar signal processing methods, error characterization, new sensing techniques, and the application of radar data in weather analysis and forecasting. It emphasizes the advancements in weather radar technology and its potential for revolutionizing meteorological forecasting and disaster preparedness. [Extracted from the article]

This study aimed to examine the mediating effect of life satisfaction in the relationship between hope and internalizing/externalizing behaviors among a sample of 1170 Chinese adolescents (mean age = 14.80 ± 1.76 years, 46.24% boys). Through the use of structural equation modeling (SEM), the study revealed a negative association between hope and internalizing/externalizing behaviors. Furthermore, the findings indicated that life satisfaction partially mediated the relationship between hope and internalizing/externalizing behaviors. The findings highlight the significance of hope and life satisfaction as protective factors in reducing internalizing/externalizing behaviors among adolescents. These results also contribute to the existing research on the role of hope and emphasize the importance of fostering hope and enhancing life satisfaction in prevention and intervention programs targeting adolescent internalizing/externalizing behaviors. [ABSTRACT FROM AUTHOR]

• HPT surveys at a site with K spanning nearly-seven orders of magnitude. • HPT reveals both sharp and gradual changes in K values across layer boundaries. • Integration of HPT-inverted K into HT yields better matches with permeameter K. • HPT K can help HT refine layer boundaries and capture intralayer K variability. Hydraulic profiling tool (HPT) and hydraulic tomography (HT) have been developed as promising techniques for the high-resolution characterization of surficial aquifer systems. HPT surveys can be rapidly conducted at a resolution of 1.5-cm, but provide only one-dimensional vertical profiles and require site-specific formulae to relate HPT measurements to K. Geostatistics-based HT can estimate three-dimensional distributions of hydraulic parameters, but may fail to provide detailed information and can be smooth when pumping/observation data density is sparse and usually are constrained to the area enclosed by the pumping and observation network. In this study, HPT and HT surveys were conducted at the North Campus Research Site (NCRS) in Waterloo, Ontario, Canada to characterize a glaciofluvial multi-aquifer-aquitard system with permeameter K values spanning nearly seven orders of magnitude. We first performed the geostatistical analysis of K values derived from 11 HPT surveys using the power-law model developed for the NCRS by Zhao and Illman (2022b). Then, the benefits of incorporating HPT K profiles into HT were evaluated for the reconstruction of hydraulic parameter fields. Results showed that the arithmetic mean of 11 HPT K profiles was nearly one order of magnitude higher than that of the 544 permeameter test K measurements. The K fields interpolated by ordinary kriging captured the vertical alternating layering patterns of aquifer and aquitard layers, while they over-predicted the values by nearly one order of magnitude than permeameter K for the top part of the aquifer system. By incorporating the kriged K values as prior means for the geostatistics-based HT, improvements were found in capturing spatial heterogeneity of K fields for areas both inside and outside the well cluster and in drawdown predictions than the inversion case using only pressure head data. The inclusion of vertical variation information of K derived from HPT into HT was also helpful in refining the vertical locations of estimated layer boundaries and introducing intralayer variation patterns of K for both aquifer and aquitard layers. This study demonstrates the potential ability of HT and HPT and advocates the joint use of both techniques for the characterization of subsurface heterogeneity at highly heterogeneous sites such as the NCRS. [ABSTRACT FROM AUTHOR]

• A calibrated perfect-geological model yields better flow and transport predictions. • With HT-inverted K fields, the ADE can reasonably simulate tracer plumes and BTCs. • Fusing geology into geostatistics-based HT reveals inter- and intra-layer K changes. • High-resolution K fields with geological features reproduce plume fingering vividly. Hydraulic tomography (HT) has been developed over the last two decades to image subsurface heterogeneity at high resolution that is critically important to robust solute transport predictions. In this study, HT based on two concepts (i.e., geological zonation and geostatistical inversion models) was utilized to characterize the K distribution of a laboratory sandbox aquifer at different parameter resolutions. We compared the estimated K fields for predicting independent pumping tests and solute transport using the classical advection–dispersion equation (ADE). The impact of using geological zonation models of varying accuracy for HT analyses was investigated. Results revealed that, when being calibrated to datasets from multiple pumping tests, geological zonation models that faithfully represented the true stratigraphy predicted groundwater flow satisfactorily. The deterministic K field of the calibrated reliable geological zonation models satisfactorily reproduced the preferential migration path of the observed tracer plume, and the breakthrough curves (BTCs) at sampling ports. With further resolving the inter- and intra-layer heterogeneity, the reconstructed K fields by HT better predicted both migrating plumes and BTCs for two conservative tracer tests. The estimated dispersivity values for ADE only resulted in slight improvements in the fitting between observed and simulated solute tracer data. It also demonstrated the need of integrating reliable geological information into the geostatistical inversion approach to reproduce geological structures in K fields. Our study suggested the proper consideration of geological zonation between boreholes during field implementation of HT to yield improved solute transport results. [ABSTRACT FROM AUTHOR]

• Inverse modeling approach proposed to invert cm-scale K from HPT surveys. • Based on inverted K , a new power-law model was developed for HPT surveys at NCRS. • The site-specific model predicted K values that correspond well with permeameter K. • Integrating HPT-inverted K into SSHT better defined sharp boundaries of a K field. Direct-push based hydraulic profiling tool (HPT) and geostatistically-based hydraulic tomography (HT) are two promising techniques for the high-resolution estimation of hydraulic conductivity (K) for unconsolidated sediments. Although HPT surveys could be conducted rapidly, relating the 1.5-cm resolution injection logging profiles to K always involve the upscaling of centimeter-scale measurements to coarser intervals for the development of site-specific formulae. On the other hand, K fields reconstructed by HT could be smooth when pumping test data are sparse. In this study, an inverse modeling approach was firstly utilized to estimate K values directly from HPT survey data for the glaciofluvial deposits at the North Campus Research Site (NCRS) in Waterloo, Ontario, Canada. A site-specific power-law relationship was generated for the NCRS to relate HPT profiles to the vertical distributions of K. Then, the proposed inverse modeling approach was evaluated with a two-dimensional synthetic aquifer under controlled conditions, and the estimated K profiles from inverse analysis of synthetic HPT surveys were incorporated into the steady-state HT. Results of the field study showed that K estimates from the developed formula corresponded better with K values from permeameter tests, than those estimated from the empirical model of McCall and Christy (2010) for HPT surveys. Moreover, through synthetic experiments, we demonstrated that integration of K values inverted from HPT into steady-state HT analyses yielded K tomograms that were significantly better than the geostatistical inversion results relying on pumping test data alone. Overall, this study highlights the need in developing site-specific formulae for the HPT and the joint implementation of HPT and HT techniques for the more cost-effective high-resolution characterization of subsurface heterogeneity. [ABSTRACT FROM AUTHOR]

[Display omitted] • Active site engineering in MOFs is first explored for photocatalytic N 2 fixation. • Acetic acid is added to expose and regulate the (1 0 0) facet with more active sites. • The FeIII/FeII ratio is controlled to improve active site reduction ability. • The photocatalytic NH 3 production rate of optimal MOFs reaches 164 μmol h−1 g−1. Photocatalytic ammonia synthesis from N 2 is a carbon neutral approach, its efficiency is yet impeded by the lack of abundant and efficient active sites on catalyst surface. Herein, we explore active site engineering strategy via employing MOF-235-based heterovalent metal organic frameworks (HMOFs) with FeIII/FeII clusters to break this dilemma. Acetic acid was added in solvothermal process, which was adsorbed on (1 0 1) facet of HMOF(FeIII/FeII) to restrain its further growth. The (1 0 0)/(1 0 1) facet ratio of HMOFs was regulated by the acetic acid content. Meanwhile, the FeIII/FeII ratio was regulated by the Fe3+/Fe2+ feeding ratio. It is found that the (1 0 0) facet of HMOFs exists more abundant Fe active sites, exposing (1 0 0) facet can increase the amount of active sites. On the other hand, the FeIII active site is favourable of N 2 adsorption, while the FeII active site is favourable for N 2 activation. The excellent balance between N 2 adsorption and N 2 activation can promote the reduction ability of active sites. At the optimal FeIII/FeII ratio of 1:1 and (1 0 0)/(1 0 1) facet ratio of 4.84, the photocatalytic activity of HMOF(FeIII/FeII)-10 reached 164 μmol g−1 h−1, more than 20 times compared to HMOF(FeIII/FeII)-0 without exposing the (1 0 0) facet. Our strategy may provide a reference in exploiting advanced photocatalysts based on organic framework-based materials. [ABSTRACT FROM AUTHOR]

• HPT pressure logs (P c) can be rapidly collected in unconsolidated deposits. • P c data provide information on sharp and gradually-varying layer boundaries. • Integrating HPT-derived hydrostratigraphy and HT yields a K field with sharp boundaries. • HPT K estimates require additional evaluations for highly heterogeneous deposits. Hydraulic tomography (HT) has been developed as a robust technique in characterizing subsurface heterogeneity over the last two decades. Hydraulic conductivity (K) and specific storage (S s) estimated by geostatistically-based HT inversion approaches are typically smooth and lack geological features when observation data density is sparse. Although integrating geological information can be helpful in adding structural features into parameter fields, costly efforts are required to obtain borehole logging through conventional coring and sampling. Also, identification of geological features such as layer boundaries from sampled materials can be a subjective process. In this study, corrected pressure (P c) logs collected during hydraulic profiling tool (HPT) surveys are utilized to derive the local hydrostratigraphic layers of the glaciofluvial deposit at the North Campus Research Site (NCRS) in Waterloo, Ontario, Canada. Site-specific geological models representing aquifer and aquitard layers are developed and calibrated to drawdown data of multiple pumping tests. Results show that estimated K fields correctly reflect the variation features of permeameter-estimated K profiles, as well as the spatial distribution of high and low K sediments. The calibrated geological models performed better than the geostatistically-based inversion approach in predicting independent pumping tests used for model validation. Moreover, by including K estimates of geological models as prior means, the estimated K fields reveal both intra- and interlayer heterogeneity, and the performances of drawdown prediction are further improved for the geostatistical inversion approach. Overall, our study suggests that, integration of stratigraphic information derived from HPT P c logs is useful for HT to capture the sharp boundaries in K fields, especially when the pumping test data is sparse. [ABSTRACT FROM AUTHOR]

Human activity recognition plays a vital role in many applications, such as body falling surveillance and healthcare for elder's in-home monitoring. Instead of using traditional micro-Doppler signals based on time-frequency distribution, we turn to another way and use the Relax algorithm to process the radar echo so as to obtain the required parameters. In this paper, we aim at the multi-view idea in which two radars at different views work synchronously and fuse the features extracted from each radar, respectively. Furthermore, we discuss the common estimated time-frequency features and time-varying spatial features of multi-view radar-echo and then formulate the parameters matrix via principal component analysis, and finally transform them into the machine learning classifiers to make further comparisons. Simulations and results show that our proposed multi-view parameter fusion idea could lead to relative-high accuracy and robust recognition performance, which would provide a feasible application for future human–computer monitoring scenarios. [ABSTRACT FROM AUTHOR]

• School climate was negatively associated with bullying victimization among a sample of Chinese adolescents. • Self-esteem mediated the relationship between school climate and bullying victimization. • Psychological suzhi moderated the first link of the mediational chain and the direct relationship between school climate and bullying victimization. • Gender moderated the relationship between self-esteem and bullying victimization, and the negative effect of self-esteem on bullying victimization was larger among boys than among girls. The present study constructed a moderated mediation model to investigate whether self-esteem mediated the relationships between school climate and bullying victimization and whether psychological suzhi and gender moderated the mediation of self-esteem. The participants were 3645 students (M age = 14.01 years, SD = 1.19) from 5 urban public secondary schools in Southwest China. The results indicated that school climate was negatively associated with bullying victimization and that self-esteem mediated the relationship between them. Furthermore, psychological suzhi moderated the first link of the mediational chain and the direct relationship between school climate and bullying victimization. More specifically, psychological suzhi increases the association between school climate and self-esteem and reduces the link between school climate and bullying victimization. The results further showed a gender difference in the association between self-esteem and bullying victimization. The negative effect of self-esteem on bullying victimization was larger among boys than girls. The findings provide implications for school decision makers and school professionals regarding the importance of fostering a positive school climate and improving psychological suzhi to prevent school bullying and promote positive development among Chinese adolescents. [ABSTRACT FROM AUTHOR]

In this paper, to track maneuvering unmanned surface vehicles (USVs) in scenarios with clutter, we propose a novel method based on the probabilistic data association (PDA) algorithm and Rao-Blackwellized particle filter (RBPF) algorithm, and we further improve the tracking performance by Max-Q criterion-based waveform selection. This work develops a maneuvering target model in the context of clutter, integrating linear and nonlinear states as well as observations with false alarms. In order to jointly tackle the mixed-state tracking problem, the PDA algorithm is integrated into the RBPF framework. This allows it to be used with the complex nonlinear and linear hybrid system and helps to minimize the state dimensions of conventional particle filtering (PF). Additionally, by utilizing Q-learning principles, we provide a Max-Q-based criterion to select the waveform parameters, which guarantees low measurement errors and efficiently handles measurement uncertainties. Our simulation results show that the PDA-RBPF algorithm, which has a more appropriate tracking mechanism, produces results that are more accurate than those of the EKF or PF algorithms alone. Furthermore, the RMSE derived by the Max-Q-based criterion is smaller and more robust than that of other selection methods, as well as yielding a fixed waveform. Our proposed mechanism, which combines the concepts of PDA-RBPF and Max-Q waveform selection, performs well in target tracking tasks and exhibits relatively good performance over some existing ones. [ABSTRACT FROM AUTHOR]

Significant efforts have been expended for improved characterization of hydraulic conductivity (K) and specific storage (Ss) to better understand groundwater flow and contaminant transport processes. Conventional methods including grain size analyses (GSA), permeameter, slug, and pumping tests have been utilized extensively, while Direct Push‐based Hydraulic Profiling Tool (HPT) surveys have been developed to obtain high‐resolution K estimates. Moreover, inverse modeling approaches based on geology‐based zonations, and highly parameterized Hydraulic Tomography (HT) have also been advanced to map spatial variations of K and Ss between and beyond boreholes. While different methods are available, it is unclear which one yields K estimates that are most useful for high resolution predictions of groundwater flow. Therefore, the main objective of this study is to evaluate various K estimates at a highly heterogeneous field site obtained with three categories of characterization techniques including: (1) conventional methods (GSA, permeameter, and slug tests); (2) HPT surveys; and (3) inverse modeling based on geology‐based zonations and highly parameterized approaches. The performance of each approach is first qualitatively analyzed by comparing K estimates to site geology. Then, steady‐state and transient groundwater flow models are employed to quantitatively assess various K estimates by simulating pumping tests not used for parameter estimation. Results reveal that inverse modeling approaches yield the best drawdown predictions under both steady and transient conditions. In contrast, conventional methods and HPT surveys yield biased predictions. Based on our research, it appears that inverse modeling and data fusion are necessary steps in predicting accurate groundwater flow behavior. Article impact statement: Evaluating K from various approaches showed that inverse modeling and data fusion are necessary steps in building robust groundwater models. [ABSTRACT FROM AUTHOR]

[Display omitted] • A metal doping strategy is proposed for N 2 activation. • Ca2+-doped UiO-66 is synthesized. • The Ca2+ doping fortifies the electron transfer from active sites to N 2. • The diamino ligand incorporating fortifies the electron generation and separation. • Photocatalytic NH 3 yield reaches 759.3 μmol h−1 g−1 under full spectrum. Photocatalytic NH 3 synthesis from N 2 is a clean and sustainable approach, however, the efficiency of this process is low due to the difficult activation of N N triple bonds. Herein, we propose a metal-doping strategy to facilitate the interfacial charge transfer for promoting the photocatalytic NH 3 yield. Ca2+ with low electronegativity was doped in UiO-66-NH 2 , a kind of Zr-based MOFs, to increase the electron donor capacity of Zr active sites. The X-ray photoelectron spectroscopy (XPS) spectra and density functional theory (DFT) calculations show that the Ca2+ doping enhances the electron density of Zr active sites. Moreover, the diamino ligand is incorporated to tune the bandgap structure of MOFs to expand its light absorption range. By adjusting the ratio of metals and organic ligands, the optimal photocatalyst UN(Zr-0.30Ca)-4 reaches a high NH 3 evolution rate of 759.3 μmol g−1 h−1 under full spectrum. This study may provide some inspiration for the design of advanced photocatalysts for diverse chemical reduction reactions. [ABSTRACT FROM AUTHOR]

Recently, the problem of target detection in noisy environments for the Dual-Functional Radar Communication (DFRC) integration system has been a hot topic. In this paper, to suppress the noise and further enhance the target detection performance, a novel manifold Riemannian Improved Armijo Search Conjugate Gradient algorithm (RIASCG) framework has been proposed which jointly optimizes the integrated transmitting waveform and receiving filter. Therein, the reference waveform is first designed to achieve excellent pattern matching of radar beamforming. Furthermore, to ensure the quality of system information transmission, the energy of multi-user interference (MUI) of communication signals is incorporated as the constraint. Additionally, the typical similarity constraint is introduced to ensure the transmitting waveform with a good ambiguity function. Finally, simulation results demonstrate that the designed waveform not only enhances the system's target detection performance in noisy environments but also achieves a relatively good multi-user communication ability when compared with other prevalent waveforms. [ABSTRACT FROM AUTHOR]

In recent years, non-contact human–computer interactions have aroused much attention. In this paper, we mainly propose a dual view observation system based on the frontal and side millimeter-wave radars (MWR) to collect echo data of the Air writing digits "0~9", simultaneously. Additionally, we also propose a novel distance approximation method to make the trajectory reconstruction more efficient. To exploit these characteristics of spatial-temporal adjacency in handwriting digits, we propose a novel clustering algorithm, named the constrained density-based spatial clustering of application with noise (CDBSCAN), to remove background noise or clutter. Moreover, we also design a robust gesture segmentation method by using twice-difference and high–low thresholds. In our trials and comparisons, based on the trajectories formulated by echo data series of time–distance and time–velocity of dual views, we present a lightweight-based convolution neural network (CNN) to realize these digits recognition. Experiment results show that our system has a relatively high recognition accuracy, which would provide a feasible application for future human–computer interaction scenarios. [ABSTRACT FROM AUTHOR]

Existing theories and empirical studies have evidenced the association between bullying victimization and bullying perpetration. However, it is still unclear what factors mitigate or alter this risk linkage between bullying victimization and bullying perpetration to reduce bullying incidents. Guided by the social-ecological theory, this study used a longitudinal design to examine the moderating role of school climate in the association between bullying victimization and bullying perpetration at both the within-person and between-person levels among Chinese adolescents across a 1-year period. Participants included 2,997 Chinese adolescents (M age = 14.9, 49.7% male) from 5 secondary schools. Results suggested that students who experienced high levels of bullying victimization were also involved in high levels of bullying perpetration over time (i.e., the positive within-person effect of bullying victimization on bullying perpetration). Results also showed that the between-person level of perceived school climate interacted with the within-person level of bullying victimization to predict the within-person level of bullying perpetration (i.e., cross-level effects). More specifically, the magnitude of the positive association between bullying victimization and bullying perpetration at the within-person level was mitigated among students with higher perceptions of school climate at the between-person level. Findings of the study highlighted the causal effect of bullying victimization on bullying perpetration and the buffering role of perceived school climate in the longitudinal association between bullying victimization and perpetration, which was consistent with the risk-buffering model but not the healthy context paradox hypothesis. Furthermore, the findings provided implications for bullying prevention and intervention services by using multitiered systems of support in bullying prevention efforts and highlights the need for promoting positive school climate. [ABSTRACT FROM AUTHOR]

The intense pulsed current superimposed on direct current arc discharges can promote arc spot splitting and reduce macroparticle ejection. In this study, the effects of different arc parameters including peak current, magnetic fields, pulse frequency and duty cycle on spot splitting characteristics for the pulsed cathodic arc discharge, as well as mechanisms involved in microspot formation, are investigated. The results show that under the effect of periodic micro-explosive emissions, the micro-spot splitting at the peak of the pulse displays a multi-stage annular expansion phenomenon, and its expansion radius increases with the increaseing peak current; the increasing transverse component of the arc source magnetic field gradually changes the microspot splitting pattern from annular expansion to arc-shaped expansion; the plasma motion after the micro-explosion requires a period of time to "accumulate force." In addition, an increase in pulse frequency leads to a gradual reduction in the range of the microspot splitting, in which the microspots are in a relative aggregation state; an increase in duty cycle, leads to an instability in the continuous motion of the microspots after the splitting in the peak period. This causes some of the microspots to merge, exhibiting a trend similar to the direct current arc. • This work aims to explore the dynamic evolution of the internal structure and motion of the pulsed cathodic arc spot under different discharge parameters, and the effects of different parameters on the characteristics of the arc spot formation and splitting motion are analyzed. • In this study, the effects of different arc parameters including peak current, magnetic fields, pulse frequency and duty cycle on spot splitting characteristics for the pulsed cathodic arc discharge, as well as mechanisms involved in microspot formation, are investigated. • The innovation we proposed looks to investigate the cathode arc spot's internal structure and splitting mechanism. We used the coupling theory of thermal field emission and electron explosive emission to analyze the phenomenon of microspot pulsed splitting observed at the microscopic level. [ABSTRACT FROM AUTHOR]

[Display omitted] • A multi-ligand strategy was proposed to design high-efficient MOF photocatalysts. • The three-ligand MOFs, EY/NH 2 /H-MIL-125, were synthesized to verify our strategy. • The optimal three-ligand MOF can yield H 2 of 2.15 mmol g−1 h−1 under visible light. • Electron transfer is enhanced by a push–pull effect induced by the NH 2 -H 2 BDC and H 2 BDC ligands. • The third ligand EY facilitates the electron photoexcitation under visible light. The design and construction of high-performance photocatalysts with both strong visible light harvesting and effective electron transfer are highly desired in the photocatalysis field. Herein, a multi-ligand strategy based on the MOF materials is proposed. A three-ligand Ti-MOF EY/NH 2 /H-MIL-125 (ENHM) was prepared via a facile hydrothermal method, in which 2-aminoterephthalic acid (NH 2 -H 2 BDC), terephthalic acid (H 2 BDC) and Eosin Y (EY) were employed as three ligands. The push–pull effect induced by different substituent groups (–NH 2 and –H) on the skeleton of NH 2 -H 2 BDC and H 2 BDC promotes the efficient transfer of photogenerated electrons from organic ligands to metal nodes; while the third ligand EY increases the number of photoexcited electrons by enhancing the visible light absorption ability. Among the three-ligand MOF photocatalytic materials, ENHM-2 performs the optimal H 2 production activity of 2.15 mmol g−1 h−1, much higher than dual-ligand NH 2 /H-MIL-125 and EY/NH 2 -MIL-125 and single-ligand NH 2 -MIL-125. A probable mechanism was also proposed for the three-ligand MOFs. This multi-ligand strategy may open up a new direction toward the preparation of MOF-based photocatalytic materials with excellent photocatalytic performances. [ABSTRACT FROM AUTHOR]

• Porous cPTA/CNT/CNU nanorod is prepared by using PTA as both template and adhesive. • A g-C 3 N 4 isotype heterojunction forms on the cPTA nanorod surface in cPTA/CNT/CNU. • Optimal cPTA/CNT/CNU nanorod can degrade 95% RhB within 1 h under visible light. • A multistep electron transfer path from CNU, CNT to cPTA forms in cPTA/CNT/CNU. • Porous cPTA nanorod increases light harvesting, active sites and molecule channels. Graphite carbon nitride (g-C 3 N 4) has a huge application potential in the photocatalysis field due to its unique conjugated structure. Inspired by the mussel adhesion protein, the cPTA/CNT/CNU (cPTA, carbonized poly(tannic acid); CNT, g-C 3 N 4 prepared by thiourea); CNU, g-C 3 N 4 prepared by urea) nanorod was synthesized by using PTA as the adhesive and template, and thiourea and urea as g-C 3 N 4 precursors. The CNT/CNU isotype heterojunction is assembled on the surface of porous cPTA nanorod, which effectively solves the problem of high photogenerated electron-hole recombination of pure g-C 3 N 4. The optimal cPTA/CNT/CNU photocatalyst can degrade 95% of rhodamine B (RhB) within 1 h under visible light, which is much higher than CNT, CNU and CNT/CNU. With the conduction band potential difference of cPTA, CNT and CNU, a multistep electron transfer path forms in the cPTA/CNT/CNU, which can accelerate the electron transfer through the interface, thereby increasing the photocatalytic activity. [ABSTRACT FROM AUTHOR]

The sensing of surrounding medium is a research focus, which is highly dependent on the nanotechnology that exhibits typical features of technical difficulty and high price. In this work, a surrounding medium sensor based on gold nanoparticles (Au NPs) is fabricated. The formation of Au NP aggregates is deposited on quartz glass by alternately immerses the glass sheet in positive charged cationic polymer polyethyleneimine and negative charged citrate coated Au NPs. The formation of Au NP aggregates with different numbers of NPs is fabricated controlling numbers of deposition and deposition time. The formation of aggregates contains less NPs exhibit ability of refractive index sensing by monitoring the surface plasmon resonance (SPR) of Au NPs. The formation of Au NP aggregates can be used as a substitute of Au NPs array for the application of SPR sensing for the merits of easy fabrication and low cost. • A surrounding medium sensor based on gold nanoparticles with ability of refractive index sensing for SPR is fabricated. [ABSTRACT FROM AUTHOR]

• Pyrimidine-modified g-C 3 N 4 (Pym-CN) was prepared through a supermolecular assembly. • Curled Pym-CN nanosheet was formed due to the restrained structure growth of g-C 3 N 4. • Pyrimidine modification promotes charge separation and enhances light absorption. • The optimal sample shows a photocatalytic H 2 evolution rate of 1046 μmol g−1 h−1. • Pym-CN has the broad prospects due to high activity, stability and reusability. Designing visible-light-driven, high-efficiency, robust photocatalysts with practical potential is an important direction in the photocatalysis field. Herein, pyrimidine-modified g-C 3 N 4 (Pym-CN) photocatalysts with curled nanosheet morphology were prepared through a facile supramolecular assembly method. Pyrimidine has only two N atoms, thus leading to the deficiency formation in the supramolecular assembly of cyanuric acid with melamine. Upon calcination, the deficiency decreases the polycondensation degree of g-C 3 N 4 , thereby further affecting its morphology and optoelectronic property. The pyrimidine modification can enhance the absorption capacity toward visible light and facilitates the separation of photo-generated carriers. By changing the adding amount of pyrimidine, the optimal Pym-CN photocatalyst exhibits a H 2 evolution rate of 1046 μmol g−1 h−1 under visible light, which is almost 30 times higher than that of pristine g-C 3 N 4. This work may afford a novel approach to modifying organic polymer semiconductor photocatalysts with small organic molecules of nonplanar structure. [Display omitted] [ABSTRACT FROM AUTHOR]

The spatio-temporal distribution of geological hazards, including collapses, landslides, and debris flows, in Shaanxi province, China was studied based on data from 1951 to 2018. The potential impact factors, including the geomorphologic types, rivers, roads, rainfall, and earthquakes, were analyzed using Random Forests. The results indicated that most hazards occurred in summer (i.e., July–September) and were triggered by rainstorms. The freeze–thaw effect had a considerable contribution to hazards in the north. Spatially, most hazards in the north occurred in valley terraces of the Loess Plateau, while medium-relief terrane (relief ranged from 500 to 1000 m) in the southern Qinling Mountains were hazard-prone areas. The collapses and landslides were mainly affected by human factors in Northern Shaanxi, whereas in Southern Shaanxi geomorphology was the primary factor. Permeability was a dominant factor for debris flows. In addition, the 2008 Wenchuan earthquake had a remarkable influence on the spatial distribution of hazards. In contrast, for the situation in the Sichuan province, which was close to the earthquake epicenter, the Wenchuan earthquake triggered many collapse and landslide events in the southwest regions of Shaanxi province only on 12 May 2008. The thresholds for the three hazard types in the north and south regions were almost the same despite their distinctly different geologic characteristics. Through a sensitivity analysis, we found an appropriate dry period of 12 h for the area. [ABSTRACT FROM AUTHOR]

[Display omitted] • Porous cPTA/CN nanorod was prepared by using PTA as both template and adhesive. • In such a nanocomposite, the CN nanolayer forms on the surface of cPTA nanorods. • cPTA/CN degrades 97% RhB in 80 min and 78% tetracycline in 3 h under visible light. • cPTA facilitates the photoinduced carrier separation and afford more active sites. • This study offers a generic method for making nanorod photocatalysts. Solar energy-driven photocatalysis has become a promising green technology to degrade organic pollutants discharged into water environment in recent years. In this study, a kind of novel cPTA/CN nanorod photocatalysts were prepared by using poly(tannic acid) as both template and adhesive, in which the g-C 3 N 4 (CN) nanolayer formed on the surface of carbonized poly(tannic acid) (cPTA) nanorods, similar to the adhesion of marine mussel foot silk protein on the solid surface. The porous cPTA/CN nanorods with about 400 nm in width and 2–4 μm in length can degrade 97% Rhodamine B within 80 min and 78% tetracycline within 3 h under visible light irradiation. Porous cPTA nanorods play an important role for promoting the photocatalytic activity, which can not only accelerate the separation of photogenerated carriers, but also afford more active sites and molecule diffusion channels. This kind of nanocomposite photocatalysts may find broad application potential in the treatment of organic pollutants in aqueous solution. [ABSTRACT FROM AUTHOR]

[Display omitted] • Nitrogenase-inspired modular synthesis is designed to construct bimetallic UiO-66. • Zr-Hf clusters are constructed to coordinate the electron transfer and utilization. • U(0.5Hf)-2SH with TPA-2SH as the ligand can absorb and utilize the visible light. • A tandem ligand-to-metal-to-metal charge transfer mechanism (LMMCT) is proposed. • The resultant bimetallic UiO-66 yields 116.1 μmol h−1 g−1 NH 3 under visible light. Inspired by nitrogenase, we designed a kind of metal-organic framework (MOF) photocatalysts, U(Zr-Hf)-X, composed of bimetallic Zr-Hf nodes and different functional ligands. In the Zr-Hf bimetallic cluster, the Zr species serves as the active site of nitrogen fixation, while the Hf species acts as electron buffer tank to optimize electron transfer and utilization. In the organic ligands, the light absorption and utilization of MOFs is improved via introducing target functional groups to efficiently generate electrons. Notably, the organic ligand containing two thiol groups (-SH) can extend the absorption edge to the visible region. The optimal U(0.5Hf)-2SH (metal nodes: 0.5Zr: 0.5Hf; linkers: TPA-2SH) photocatalyst exhibits nitrogen fixation rate up to 116.1 μmol g−1 h−1 under visible-light, attributed to the ligand-to-metal-to-metal electron transfer (LMMET) pathway and Zr-based π-backbonding mechanism. Our nitrogenase-inspired strategy establishes a novel paradigm for rational design of visible-light-driven nitrogen fixation catalysts. [ABSTRACT FROM AUTHOR]