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Using market-oriented methods to promote comprehensive land consolidation and ecological restoration has been an important issue in recent years. This article will study the mechanism, mode, and path of realizing marketization. Firstly, the significance of comprehensive land consolidation and ecological restoration will be analyzed. Then, the market-oriented mechanism of comprehensive land consolidation and ecological restoration will be elaborated. Finally, the value realization mode and path of market-oriented land consolidation and ecological restoration will be explored.

Multijunction vertical-cavity surface-emitting lasers (VCSELs) have gained popularity in automotive LiDARs, yet achieving a divergence of less than 16° (D86) is difficult for conventional extended cavity designs due to multiple-longitudinal-mode lasing. Our innovation, the antireflective vertical-cavity surface-emitting laser (AR-VCSEL), addresses this challenge by introducing an antireflective light reservoir, where the electric field intensity is substantially higher than the gain region. This reduces the required cavity length for minimal divergence, preserving the single-longitudinal-mode lasing. A 6-junction AR-VCSEL array showcases a halved divergence and tripled brightness compared to its conventional counterpart. Various multijunction AR-VCSEL array designs achieve a divergence range of 8° to 16° (D86). Notably, a 7 μm AR-VCSEL emitter achieves 28.4 mW in single transverse mode lasing. AR-VCSEL stands out among semiconductor lasers, offering a well-balanced power density and brightness, making it a cost-effective solution for long-distance LiDARs. The antireflective cavity concept may inspire diverse applications in photonic devices beyond LiDARs. The authors showcase an innovative anti-reflective vertical-cavity surface-emitting laser (AR-VCSEL) that achieves low divergence and maintains a single-mode lasing. The 6-junction AR-VCSEL array demonstrates low divergence from 8° to 16° (D86) and tripled brightness compared to conventional counterparts. The AR-VCSEL offers an excellent avenue for long-distance LiDARs.

Risk communication is critical to emergency management. The objective of this paper is to illustrate the effective process and attention points of risk communication reflecting on the COVID-19 (2019-nCoV) outbreak in Wuhan, China. We provide the timeline of risk communication progress in Wuhan and use a message-centered approach to identify problems that it entailed. It was found that the delayed decision making of the local government officials and the limited information disclosure should be mainly responsible for the ineffective risk communication. The principles for effective risk communication concerning Wuhan’s outbreak management were also discussed. The whole communication process is suggested to integrate the accessibility and openness of risk information, the timing and frequency of communication, and the strategies dealing with uncertainties. Based on these principles and lessons from Wuhan’s case, this paper employed a simplified Government–Expert–Public risk communication model to illustrate a collaborative network for effective risk communication.

Psychological determinants underlying the dietary management intention (DMI) of Chinese patients with chronic kidney disease (CKD) are not well understood. This hinders the development of theory-informed dietary interventions targeting this population. The aim of this study was to identify factors influencing DMI of Chinese patients with CKD through the lens of Protection Motivation Theory (PMT). 500 patients with CKD from a nephrology ward of a large teaching hospital in China completed a survey including measures of PMT constructs (i.e., perceived vulnerability, perceived severity, intrinsic and extrinsic rewards, self-efficacy, response efficacy, and response cost) using validated scales adapted from previous studies. Data were analyzed using confirmatory factor analysis and multiple linear regression. Three PMT constructs, namely perceived severity [B = 0.198, P < 0.001], response efficacy [B = 0.331, P  < 0.001], and self-efficacy [B = 0.325, P  < 0.001], two demographic variables, namely single status [B = -0.180, P = 0.028] and education level [B = 0.080, P = 0.007], and a disease-related variable, namely CKD stage [B = .056, P = 0.001], predicted 39.3% of the variance of the CKD DMI. No significant effect on CKD DMI was observed for other predictor variables (P > 0.05). Applying the PMT, significant predictors of DMI in Chinese patients with CKD were identified, which should be targeted in behavior change initiatives aimed at promoting dietary management.

Drought stress (DS) is a serious challenge for sustaining global crop production and food security. Nanoparticles (NPs) have emerged as an excellent tool to enhance crop production under current rapid climate change and increasing drought intensity. DS negatively affects plant growth, physiological and metabolic processes, and disturbs cellular membranes, nutrient and water uptake, photosynthetic apparatus, and antioxidant activities. The application of NPs protects the membranes, maintains water relationship, and enhances nutrient and water uptake, leading to an appreciable increase in plant growth under DS. NPs protect the photosynthetic apparatus and improve photosynthetic efficiency, accumulation of osmolytes, hormones, and phenolics, antioxidant activities, and gene expression, thus providing better resistance to plants against DS. In this review, we discuss the role of different metal-based NPs to mitigate DS in plants. We also highlighted various research gaps that should be filled in future research studies. This detailed review will be an excellent source of information for future researchers to adopt nanotechnology as an eco-friendly technique to improve drought tolerance.

Modeling water stable isotope transport in soil is crucial to sharpen our understanding of water cycles in terrestrial ecosystems. Although several models for soil water isotope transport have been developed, many rely on a semi‐coupled numerical approach, solving isotope transport only after obtaining solutions from water and heat transport equations. However, this approach may increase instability and errors of model. Here, we developed an algorithm that solves one‐dimensional water, heat, and isotope transport equations with a fully coupled method (MOIST). Our results showed that MOIST is more stable under various spatial and temporal discretization than semi‐coupled method and has good agreement with semi‐analytical solutions of isotope transport. We also validated MOIST with long‐term measurements from a lysimeter study under three scenarios with soil hydraulic parameters calibrated by HYDRUS‐1D in the first two scenarios and by MOIST in the last scenario. In scenario 1, MOIST showed an overall NSE, KGE, and MAE of simulated δ18O of 0.47, 0.58, and 0.92‰, respectively, compared to the 0.31, 0.60, and 1.00‰ from HYDRUS‐1D; In scenario 2, these indices of MOIST were 0.33, 0.52, and 1.04‰, respectively, compared to the 0.19, 0.58, and 1.15‰ from HYDRUS‐1D; In scenario 3, calibrated MOIST exhibited the highest NSE (0.48) and KGE (0.76), the smallest MAE (0.90) among all scenarios. These findings indicate MOIST has better performance in simulating water flow and isotope transport in simplified ecosystems than HYDRUS‐1D, suggesting the great potential of MOIST in furthering our understandings of ecohydrological processes in terrestrial ecosystems. Plain Language Summary To accurately trace how water navigates through ecosystems, we depend on numerical models that replicate the behavior of water stable isotopes within the soil. Traditional approaches to these models typically solve the equations related to water flow and temperature first, then addressing the equations for isotopes. This sequential approach can inadvertently amplify inaccuracies in the isotope data. Our novel method MOIST, concurrently resolves the equations for water, heat, and isotopes. We validated MOIST by comparing it with both analytical predictions and real‐world observations. The findings demonstrate that MOIST aligned closely with both theoretical expectations and actual measurements, establishing its credibility as an effective tool for simulating the transport of stable water isotopes within the soil‐plant‐atmosphere continuum. Key Points A fully coupled soil water, heat, and isotope transport model, named MOIST, was developed The fully coupled method is less sensitive to spatial and temporal discretization and more accurate than the semi‐coupled method MOIST is a powerful and open‐source tool for simulating one‐dimensional water stable isotope transport within soil

From an industry perspective, the past decade has been a whirlwind of innovation in automotive light detection and ranging (LiDAR). Numerous laser technologies and system solutions have been fiercely competing for market share. However, recent trends suggest a growing convergence on vertical-cavity surface-emitting laser (VCSEL) and antireflective VCSEL (AR-VCSEL) based solutions. This commentary, rooted in the practical realities of the industry, examines the historical trajectory of industrial laser technology for commercial automotive LiDAR. It specifically focuses on the recent applications of VCSEL/AR-VCSEL technologies and their future prospects. Liang et al. present an industrial perspective on the evolving landscape of laser technology used in advanced LiDAR systems. The authors discuss recent trends, practical considerations within the industry, current challenges, and potential solutions, explicitly focusing on VCSEL/AR-VCSEL-based technologies and their strong potential for commercial LiDAR applications.

Montmorillonite (Mt) is a kind of 2:1 type layered phyllosilicate mineral with nanoscale structure, large surface area, high cation exchange capacity and excellent adsorption capacity. By virtue of such unique properties, many scholars have paid much attention to the further modification of Mt-based two-dimensional (2D) functional composite materials, such as Mt-metal hydroxides and Mt-carbon composites. In this review, we focus on two typical Mt-2D nanocomposite: Mt@layered double hydroxide (Mt@LDH) and Mt@graphene (Mt@GR) and their fabrication strategies, as well as their important applications in pollution adsorption, medical antibacterial, film thermal conduction and flame-retardant. In principle, the prospective trend of the composite preparation of Mt-2D nancomposites and promising fields are well addressed.

Autosomal dominant osteopetrosis (ADOP) is an extremely rare congenital bone disease. We report a case of a hip disorder in combination with ADOP, which was treated by total hip arthroplasty, resulting in a good recovery and a significant improvement in the patient’s ability to perform daily activities.

The evolution of e-commerce drives suppliers to develop online direct selling channels to encroach on the retail market, in addition to the traditional distribution channels through the retailer. A systematic literature review (SLR) approach is adopted in this paper to review the existing studies using theoretical models to capture supplier encroachment behavior, as well as the related industry practice phenomena and strategic factors in the supply chain. We present the major research streams according to the selected encroachment literature from two aspects: channel conflict and coordination as well as information structures. We also generalize the significant practical strategies and strategic factors that have been investigated, combined with supplier encroachment, such as investment and spillover effects, the retailer’s store brand introduction, strategic inventory, and contract mechanism designs. More importantly, we summarize the classical theoretical models which include the basic models, the signaling game model, and the Hotelling model, and these have been widely used by scholars to capture the supplier’s encroachment behavior. Finally, we provide several suggestions which may be valuable for researchers to identify future potential research directions.