Polymeric Janus Nanosheets by Template RAFT Polymerization

We report a general method to synthesize polymeric Janus nanosheets (PJS) by sequential RAFT grafting from a template particle surface. Layer number and composition of the PJS are tunable by feeding sequence and type of monomers. The <i>c</i>PNIPAM–PS PJS is flexible and thermal responsive, which can form a scrolled superstructure. A dually responsive <i>c</i>PAA–PNIPAM PJS is derived by hydrolysis of <i>c</i>P<i>t</i>BA–PNIPAM. Accordingly, stability of the emulsion with the <i>c</i>PAA–PNIPAM PJS is triggered by alternation of pH or/and temperature

Hawk‐eye‐inspired perception algorithm of stereo vision for obtaining orchard 3D point cloud navigation map

The binocular stereo vision is the lowest cost sensor for obtaining 3D information. Considering the weakness of long-distance measurement and stability, the improvement of accuracy and stability of stereo vision is urgently required for application of precision agriculture. To address the challenges of stereo vision long-distance measurement and stable perception without hardware upgrade, inspired by hawk eyes, higher resolution perception and the adaptive HDR (High Dynamic Range) were introduced in this paper. Simulating the function from physiological structure of ‘deep fovea’ and ‘shallow fovea’ of hawk eye, the higher resolution reconstruction method in this paper was aimed at accuracy improving. Inspired by adjustment of pupils, the adaptive HDR method was proposed for high dynamic range optimisation and stable perception. In various light conditions, compared with default stereo vision, the accuracy of proposed algorithm was improved by 28.0% evaluated by error ratio, and the stability was improved by 26.56% by disparity accuracy. For fixed distance measurement, the maximum improvement was 78.6% by standard deviation. Based on the hawk-eye-inspired perception algorithm, the point cloud of orchard was improved both in quality and quantity. The hawk-eye-inspired perception algorithm contributed great advance in binocular 3D point cloud reconstruction in orchard navigation map

Global efficiency of LFPs functional connectivity across three groups.

<p>(A) Theta-band LFPs; (B) Gamma-band LFPs. Error bars represent standard error. * <i>p</i><0.05, ** <i>p</i><0.01, ANOVA one-way post hoc Newman–Keuls test. Control  =  no propofol anesthesia; pro = 0.5 mg•kg⁻¹•min⁻¹, 2 h; PRO = 0.9 mg•kg⁻¹•min⁻¹, 2 h.</p

Characteristics of the UCP3 -55C/T polymorphism allelic and genotype distribution for obesity risk in studies included in the meta-analysis.

<p>Characteristics of the UCP3 -55C/T polymorphism allelic and genotype distribution for obesity risk in studies included in the meta-analysis.</p

Quantitative description of LFPs functional connectivity across PRO group (black) and control group (white) in the 4th day and 5th day.

<p>(A), (B) and (C) respectively denote <i>C</i>, <i>D</i> and <i>E_global</i> of theta-band LFPs causal network; (D), (E) and (F) respectively denote <i>C</i>, <i>D</i> and <i>E_global</i> of theta-band LFPs causal network. Error bars represent standard error. Control  =  no propofol anesthesia; PRO = 0.9 mg•kg⁻¹•min⁻¹, 2 h.</p

Changes in clustering coefficient of three groups in three days.

<p>Results are expressed as mean ± SEM of the whole group (n = 6).</p><p>*<i>p</i><0.05,</p><p>**<i>p</i><0.01, ANOVA one-way post hoc Newman–Keuls test. Control  =  no propofol anesthesia; pro = 0.5 mg•kg⁻¹•min⁻¹, 2 h; PRO = 0.9 mg•kg⁻¹•min⁻¹, 2 h.</p

Stratified analysis pooled odds ratios for the association between the UCP3-55C/T polymorphism and susceptibility to obesity by ethnicity.

<p>The area of the squares reflects the study-specific weight. The diamond shows the summary fixed-effects odds ratio estimate from 8 studies.</p

Changes in global efficiency of three groups in three days.

<p>Results are expressed as mean ± SEM of the whole group (n = 6).</p><p>*<i>p</i><0.05,</p><p>**<i>p</i><0.01, ANOVA one-way post hoc Newman–Keuls test. Control  =  no propofol anesthesia; pro = 0.5 mg•kg⁻¹•min⁻¹, 2 h; PRO = 0.9 mg•kg⁻¹•min⁻¹, 2 h.</p

Time-frequency spectra of LFPs while rat in a WM task.

<p>Spectral peaks of the gamma and theta rhythms stand out as isolated spots (arrows). The gamma rhythms slow down gradually from 55.0 Hz and 75.0 Hz while theta rhythms slow down gradually from 3.0 Hz and 10.0 Hz. The time interval of LFPs was 2 s before WM reference and 1 s after WM reference. Time is presented on the x-axis. Frequency is presented on the y-axis. The width of each spectral segment was 7 s, and the frequency ranges was 1–80 Hz. (A) denote time-frequency spectra of PRO group in the first day, the second day and the next day after propofol anesthesia. (B), (C) respectively denote time-frequency spectra of control group and pro group at the same time. The energy level is coded on a color scale: blue areas show low energy, and red areas show high energy. Control  =  no propofol anesthesia; pro = 0.5 mg•kg⁻¹•min⁻¹, 2 h; PRO = 0.9 mg•kg⁻¹•min⁻¹, 2 h. ▾▴ represents the tripping time by infrared in Y-maze.</p

Behavioral results of rats Y-maze performance.

<p>(A) Average correct rate of SD male rats before propofol anesthesia, from the 7^th day, the correct rate was above 85% in three consecutive days; (B) Average correct rate after propofol anesthesia. Black line indicate control group averaged correct rate, red line indicate PRO group and blue indicate pro group. In the first 2 days, the difference is obvious between three groups, in the last 3 days, the inhibition of propofol was disappearing (<b>**</b><i>p</i><0.01). Error bars represent standard error. Control  =  no propofol anesthesia; pro = 0.5 mg•kg⁻¹•min⁻¹, 2 h; PRO = 0.9 mg•kg⁻¹•min⁻¹, 2 h.</p