Establishment and comparison of piecewise linear regression models to measure thyroid volume by 2D and 3D ultrasound.

OBJECTIVE: Compared thyroid volumes measured by 2-D and 3-D US with those of resected specimens and proposed new models to improve measurement accuracy. METHODS: This study included 80 patients who underwent total thyroidectomy. One 2D_model and one 3D_model were developed using piecewise linear regression analysis. The accuracy of these models was compared using an ellipsoid model (2-D_US value × 0.5), 3-D_US value, and Ying's model [1.76 + (2-D_US value × 0.38)]. RESULTS: The new 2D_model was: V=2.66 + (0.71 * X1) - (1.51 * X2). In this model, if 2-D_US value <= 228.39, X1 = 2-D_US value and X2 = 0; otherwise, X1 = 2-D_US value and X2 = 2-D_US value - 228.39. The 3D_model was: V= 2.90 + (1.08 * X1) + (2.43 * X2). In this model, if 3-D_US value <= 102.06, X1 = 3-D_US value and X2 = 0; otherwise, X1 = 3-D_US value and X2 = 3-D_US value - 102.06. The accuracy of the new models was higher than that of the 3-D_US value, the ellipsoid model, and Ying's model (P<0.05). CONCLUSION: The models established are more accurate than the traditional ones and can accurately measure thyroid volume.

Immunogenicity and safety of a live attenuated varicella vaccine in children 1-12 years of age: A randomized, blinded, controlled, non-inferiority phase 3 clinical trial.

OBJECTIVES: To evaluate the immunogenicity and safety of a live attenuated varicella vaccine produced using a cell factory process. METHODS: In this randomized, blinded, controlled, non-inferiority phase 3 clinical trial conducted in Guizhou, healthy children aged 1-12 years were randomly assigned in a 2: 1 ratio to receive one dose of experimental or control vaccine. Physical examination and first blood collection were performed preimmunization on day 0. Diary cards were collected after day 15. Contact cards and second blood samples were collected on day 30. The primary immunogenicity endpoint was the positive conversion rate of the anti-varicella virus antibody at 30 days postimmunization in susceptible children. Secondary endpoints were the fourfold increase rate, positive conversion rate, geometric mean titer, and geometric mean increase at 30 days after immunization in the total cohort. RESULTS: Of the 900 children assessed for eligibility, 894 received an experimental or control vaccine. Both the full analysis and safety analysis sets included 894 subjects. The seroconversion rate in the susceptible population was 95.84% in the experimental and 94.76% in the control group. The lower limit of the 95% confidence interval difference was -2.37%, which was greater than the non-inferiority margin set by the program (-10%). No significant difference in solicited adverse reactions was found between the groups. Within 6 months postimmunization, a total of 24 serious adverse events were reported, none related to the studied vaccine. CONCLUSION: The live attenuated varicella vaccine produced using a cell factory process was highly immunogenic, safe, and non-inferior to the product in the market. Further studies need to be implemented in the immune persistence, the epidemiological effectiveness and the rare adverse reactions.

Three-Dimensional and In Situ-Activated Spinel Oxide Nanoporous Clusters Derived from Stainless Steel for Efficient and Durable Water Oxidation.

Developing cost-effective and highly efficient oxygen evolution reaction (OER) electrocatalysts based on earth-abundant elements is vital to hydrogen production from electrocatalytic water splitting. Herein, a three-dimensional and in situ-activated electrocatalyst derived from stainless steel is successfully fabricated via a two-step laser direct writing strategy. The electrocatalyst appears in the form of nanoparticle-stacked porous clusters on the multiscale stainless steel with irregular microcone arrays and microspheres, which exposes more active sites and facilitates the mass transport. Especially, the clusters undergoe a self-optimizing morphological and compositional reconfiguration induced by the leaching of Cr species under OER conditions for favorable charge transfer and enhanced intrinsic catalytic activity. As a result, the in situ-activated, Ni/Cr-doped Fe3O4 electrocatalyst exhibits an outstanding OER performance with a small overpotential of 262 mV to reach 10 mA cm-2, a low Tafel slope of 35.0 mV dec-1, and excellent long-term stability of 120 h, among the best spinel Fe-rich OER electrocatalysts. Finally, we also verify the feasibility of the affordable and efficient electrocatalyst coupled with the commercial Ni cathode in the practical water electrolysis. This work may open up a new avenue to design nanostructured metal oxides for various energy applications and beyond.

Laser-Assisted Doping and Architecture Engineering of Fe3 O4 Nanoparticles for Highly Enhanced Oxygen Evolution Reaction.

The design and synthesis of cost-effective and highperformance oxygen evolution reaction (OER) electrocatalysts for water splitting based on earth-abundant elements is urgent but challenging. A synergistic doping and architecture engineering strategy by nanosecond laser ablation is used to generate a unique kind of highly disordered Ni-doped Fe3 O4 nanoparticle clusters. Ni dopant and increased oxygen vacancies are simultaneously incorporated into Fe3 O4 frameworks and thereby modulate the electronic configuration for an optimal binding affinity towards OER intermediates. Nanoparticles with average size of around 5 nm assemble randomly during laser ablation and construct a fluffy and porous architecture, which not only optimizes the number of exposed active sites but also accelerates mass transfer. Consequently, Ni-doped Fe3 O4 clusters are revealed as a superior OER catalyst with a small overpotential of 272 mV at 10 mA cm-2 and a small Tafel slope of 39.4 mV dec-1 , surpassing almost all spinel Fe-based OER catalysts. This work provides a new strategy to fabricate advanced cation-doped metal oxide nanostructures for related energy applications.

An integrative bioinspired venation network with ultra-contrasting wettability for large-scale strongly self-driven and efficient water collection.

Collection of water from the atmosphere is a potential route to alleviate the global water shortage. However, it is still difficult to find a strategy to collect sufficient water on a large surface and transport it all off the surface without additional energy input. Inspired by redbud leaves, herein, we proposed a new water-collecting configuration. This configuration utilizes an ultra-contrasting wettability venation network with hierarchical micro-nano structures as the skeleton and integrates the strategies evolved by cacti and beetles. This venation network was fabricated by the technology based on ultra-fast lasers. We achieved a near-unity efficiency in collecting and centralizing the condensed water on the entire surface with a large area. Remarkable water collection and centralization capability were obtained. The venation networks manifested the notable enhancements of ∼166%, ∼352% and ∼644% in water collection efficiency when compared with conventional superhydrophobic surfaces at the tilt angles of 90°, 60° and 30°, respectively. This configuration can work continuously at all tilt angles, even against gravity at a negative tilt angle of 90°. In addition, the venation network can maintain excellent water collecting capability even under very arid conditions. The principle and fabrication technology of this venation network make it possible to scale up a practical network device for mass water collection and may be useful for water desalination, heat transfer, microfluidics, lab-on-a-chip, distillation and many other applications.

Response of vegetation to water balance conditions at different time scales across the karst area of southwestern China-A remote sensing approach.

This work identifies the vegetation communities, landform types and seasons in which vegetation is most sensitive to water imbalance in the karst area of southwestern China. The normalized difference vegetation index (NDVI) and standardized precipitation and evapotranspiration index (SPEI) were used to evaluate the effects of water balance conditions on vegetation in different seasons and at different time scales. During the growing seasons from 1982 to 2013, the vegetation growth in 79% of the study area was statistically significantly sensitive to the water balance condition (p < 0.05). The vegetation in the spring and autumn responded more visibly to water imbalances. The SPEI over the last 6 months was statistically significantly correlated with the monthly maximum NDVI during the growing season over the larger areas compared with the SPEI over other time periods. Therefore, the vegetation was most likely sensitive to six months of water imbalance in this area. Among the selected vegetation types, the shrubland and sparse woodland were the most sensitive to water imbalances, whereas grasslands and forests were less sensitive. The maximum correlation coefficient between the NDVI and SPEI for each karst landform type was statistically significantly different (p < 0.01). The vegetation in the peak-cluster depressions was the most sensitive to water imbalances, whereas the vegetation in the middle and high karst mountains was the least sensitive to water imbalances. Overall, although the climate of the karst region of southwestern China is humid and subtropical, the vegetation is still vulnerable to water imbalances in particular regions and soils.

Comprehensively durable superhydrophobic metallic hierarchical surfaces via tunable micro-cone design to protect functional nanostructures.

Superhydrophobic surfaces have been intensively investigated in recent years. However, their durability remains a major challenge before superhydrophobic surfaces can be employed in practice. Although various works have focused on overcoming this bottleneck, no single surface has ever been able to achieve the comprehensive durability (including tangential abrasion durability, dynamic impact durability and adhesive durability) required by stringent industrial requirements. Within the hierarchical structures developed for superhydrophobicity in typical plants or animals by natural evolution, microstructures usually provide mechanical stability, strength and flexibility to protect functional nanostructures to enable high durability. However, this mechanism for achieving high durability is rarely studied or reported. We employed an ultrafast laser to fabricate micro/nanohierarchical structures on metal surfaces with tunable micro-cones and produced abundant nanostructures. We then systematically investigated their comprehensive mechanical durability by fully utilizing the protective effect of the microstructures on the functional nanostructures via the tunable design of micro-cones. We confirm that the height and spatial period of the microstructures were crucial for the tangential abrasion durability and dynamic impact durability, respectively. We finally fabricated optimized superhydrophobic tungsten hierarchical surfaces, which could withstand 70 abrasion cycles, 28 min of solid particle impact or 500 tape peeling cycles to retain contact angles of greater than 150° and sliding angles of less than 20°, which demonstrated exceptional comprehensive durability. The comprehensive durability, in particular the dynamic impact durability and adhesive durability, are among the best published results. This research clarifies the mechanism whereby the microstructures effectively protected the functional nanostructures to achieve high durability of the superhydrophobic surfaces and is promising for improving the durability of superhydrophobic surfaces and thus for practical applications.

Large-Scale Tunable 3D Self-Supporting WO3 Micro-Nano Architectures as Direct Photoanodes for Efficient Photoelectrochemical Water Splitting.

Hydrogen production from water based on photoelectrochemical (PEC) reactions is feasible to solve the urgent energy crisis. Herein, hierarchical 3D self-supporting WO3 micro-nano architectures in situ grown on W plates are successfully fabricated via ultrafast laser processing hybrid with thermal oxidation. Owing to the large surface area and efficient interface charge transfer, the W plate with hierarchical porous WO3 nanoparticle aggregates has been directly employed as the photoanode for excellent PEC performance, which exhibits a high photocurrent density of 1.2 mA cm-2 at 1.0 V vs Ag/AgCl (1.23 V vs RHE) under AM 1.5 G illumination and reveals excellent structural stability during long-term PEC water splitting reactions. The nanoscale and microscale features can be facilely tuned by controlling the laser processing parameters and the thermal oxidation conditions to achieve improved PEC activity. The presented hybrid method is simple, cost-effective, and controllable for large-scale fabrication, which should provide a new and general route that how the properties of conventional metal oxides can be improved via hierarchical 3D micro-nano configurations.

Insight into runoff characteristics using hydrological modeling in the data-scarce southern Tibetan Plateau: Past, present, and future.

Regional hydrological modeling in ungauged regions has attracted growing attention in water resources research. The southern Tibetan Plateau often suffers from data scarcity in watershed hydrological simulation and water resources assessment. This hinders further research characterizing the water cycle and solving international water resource issues in the area. In this study, a multi-spatial data based Distributed Time-Variant Gain Model (MS-DTVGM) is applied to the Yarlung Zangbo River basin, an important international river basin in the southern Tibetan Plateau with limited meteorological data. This model is driven purely by spatial data from multiple sources and is independent of traditional meteorological data. Based on the methods presented in this study, daily snow cover and potential evapotranspiration data in the Yarlung Zangbo River basin in 2050 are obtained. Future (2050) climatic data (precipitation and air temperature) from the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR5) are used to study the hydrological response to climate change. The result shows that river runoff will increase due to precipitation and air temperature changes by 2050. Few differences are found between daily runoff simulations from different Representative Concentration Pathway (RCP) scenarios (RCP2.6, RCP4.5 and RCP8.5) for 2050. Historical station observations (1960-2000) at Nuxia and model simulations for two periods (2006-2009 and 2050) are combined to study inter-annual and intra-annual runoff distribution and variability. The inter-annual runoff variation is stable and the coefficient of variation (CV) varies from 0.21 to 0.27. In contrast, the intra-annual runoff varies significantly with runoff in summer and autumn accounting for more than 80% of the total amount. Compared to the historical period (1960-2000), the present period (2006-2009) has a slightly uneven intra-annual runoff temporal distribution, and becomes more balanced in the future (2050).

[Research on spatial characteristic of non-point source pollution in Liaohe River basin].

The spatial characteristic of non-point source pollution in the Liaohe River was studied. Coupling the remote sensing data and non-point source (NPS) models, a method of assessing NPS pollution by pixel unit was developed, aiming to analyse the NPS pollution characteristic of Liaohe River basin in 2010, in turn to identify the main polluted areas and prevention measures. The work will provide technical supports for pollution prevention in Liaohe River basin. The results showed that in 2010, the total discharge of total nitrogen (TN) was 1.03 x 10(5) t, the total phosphorus (TP) was 6.8 x 10(3) t, the chemical oxygen demand (COD) was 1.31 x 10(5) t and the ammonia nitrogen (NH+4 -N) was 1. 8 x 10(4) t. The main pollution source of NPS was from agriculture. The contributions of NPS pollution to water quality were 67.4% , 76.4% , 39.4% and 21.9% for TN, TP, COD and NH+4 -N, respectively. The south of Liaohe River basin was the most serious polluted area, followed by the northeast areas. In this research, a method was build to estimate the NPS loads based on remote sensing pixel and the spatial characteristic of non-point source pollution in Liaohe River in 2010 was analysed, which will provide support for pollution prevention in Liaohe River.