Pure-silk fibroin hydrogel with stable aligned micropattern toward peripheral nerve regeneration

Successful repair of long-distance peripheral nerve injuries remains a challenge in the clinic. Rapid axon growth is a key to accelerate nerve regeneration. Herein, a pure silk fibroin (SF) hydrogel with a combination of high-strength and aligned microgrooved topographic structure is reported. The hydrogels exhibit excellent mechanical properties with high strength. Good biocompatibility also allows the hydrogels to support cell survival. Significantly, the hydrogel with aligned microgrooved structures enables the aligned growth of Schwann cells. Moreover, the hydrogel holds a strong capacity for promoting axon growth and guiding neurite sprouting. Thus, this micropatterned SF hydrogel would have great potential for peripheral nerve regeneration.

Transition from freestanding SnO2 nanowires to laterally aligned nanowires with a simulation-based experimental design

In this study, we used simulations as a guide for experiments in order to switch freestanding nanowire growth to a laterally aligned growth mode. By means of finite element simulations, we determined that a higher volumetric flow and a reduced process pressure will result in a preferred laterally aligned nanowire growth. Furthermore, increasing the volumetric flow leads to a higher species dilution. Based on our numerical results, we were able to successfully grow laterally aligned SnO2 nanowires out of gold film edges and gold nanoparticles on a-plane sapphire substrates. In our experiments a horizontal 2-zone tube furnace was used. The generation of Sn gas was achieved by a carbothermal reduction of SnO2 powder. However, we observed no elongation of the nanowire length with an increase of the process time. Nevertheless, an alternating gas exchange between an inert gas (Ar) and an oxygen-containing process atmosphere yielded an elongation of the laterally aligned nanowires, indicating that the nanowire growth takes place in a transient period of the gas exchange.

Nitrogen-mediated aligned growth of hexagonal BN films for reliable high-performance InSe transistors

Orientation controlled hexagonal boron nitride (h-BN) films exhibit excellent mechanical and thermal properties, making them attractive for diverse applications.

Vertically-aligned growth of CuAl-layered double oxides on reduced graphene oxide for hybrid capacitive deionization with superior performance

Designing vertically-aligned CuAl-layered double oxide grown on reduced graphene oxide for capacitive desalination with high capacity and long cycling life.

Crop Growth Condition Assessment at County Scale Based on Heat-Aligned Growth Stages

Remotely sensed data have been used in crop condition monitoring for decades. Traditionally, crop growth conditions were assessed by comparing Normalized Difference Vegetation Index (NDVI) of the current year and past years at a pixel scale on the same calendar day. The assumption of this comparison is that the different years’ crops were at the same growing stage on the same day. However, this assumption is often violated in reality. This paper proposes to combine remotely sensed data and meteorological data to assess corn growth conditions at the same growth stages at county level. The proposed approach uses the active accumulated temperature (AAT) computed from Daymet, a daily weather data product, to align different years of NDVI time series at the same growth stages estimated from AATs. The study area covers Carroll County, Iowa. The best index slope extraction (BISE) method and Savitzky–Golay filter are used to filter noise and to reconstruct 11 years of corn growing season NDVI time series from 250 m MODIS daily surface reflectance data product (MOD09GQ). The corn growth stages are identified every year with precise Julian dates from AAT time series. The corn growth conditions are assessed based on the aligned growth stages. The validation of the assessed crop conditions is performed based on National Agricultural Statistics Service (NASS) reports. The study indicates that the crop condition assessment results based on aligned growth stages are consistent with the NASS reported results and they are more reliable than the results based on the same calendar days. The proposed method provides not only crop growth condition information but also crop phenology information. Potentially, it can help improve crop yield prediction since it can effectively measure crop growth changes with NDVI and AAT data.