Self-Floating Carbon Nanotube Membrane on Macroporous Silica Substrate for Highly Efficient Solar-Driven Interfacial Water Evaporation

Given the emerging energy and water challenges facing mankind, solar-driven water evaporation has been gaining renewed research attention from both academia and industry as an energy-efficient means of wastewater treatment and clean water production. In this project, a bilayered material, consisting of a top self-floating hydrophobic CNT membrane and a bottom hydrophilic macroporous silica substrate, was logically designed and fabricated for highly energy-efficient solar-driven water evaporation based on the concept of interfacial heating. The top thin CNT membrane with excellent light adsorption capability acted as photothermal component, which harvested and converted almost the entire incident light to heat for exclusive heating of interfacial water. On the other hand, the macroporous silica substrate provided multifunctions toward further improvement of operation stability and water evaporation performance of the material, including water pumping, mechanical support, and heat barriers. The silica substrate was conducive in forming the rough surface structures of the CNT top layers during vacuum filtration and thus indirectly contributed to high light adsorption by the top CNT layers. With optimized thicknesses of the CNT top layer and silica substrate, a solar thermal conversion efficiency of 82% was achieved in this study. The bilayered material also showed great performance toward water evaporation from seawater and contaminated water, realizing the separation of water from pollutants and indicating its application versatilit

sj-docx-2-tct-10.1177_15330338211050775 - Supplemental material for Nanoparticle Albumin Bound Paclitaxel in the Third-Line Treatment of Recurrent Small Cell Lung Cancer in Real-World Practice: A Single Center Experience

Supplemental material, sj-docx-2-tct-10.1177_15330338211050775 for Nanoparticle Albumin Bound Paclitaxel in the Third-Line Treatment of Recurrent Small Cell Lung Cancer in Real-World Practice: A Single Center Experience by Yuchao Wang, Li Li and Chunhua Xu in Technology in Cancer Research & Treatment</p

Additional file 1: of Crocetin attenuates inflammation and amyloid-β accumulation in APPsw transgenic mice

Figure S1. Crocetin did not affect cell viability in both APPsw-transfected cells (A) and control Hela cells (B). Cells were treated with crocetin at the indicated concentrations for 24 h. Cell viability was measured using MTT assay. (C) APP protein levels were not changed in APPsw-transfected cells after the treatment of crocetin (40 μM) for 24 h. Protein levels were analyzed by western blot. Actin was used as a loading control. Figure S2. Crocetin treatment (30 mg/kg/day) decreased Aβ plaques in AD mice. (DOCX 364 kb

Pd/Mg(OH)₂/MgO–ZrO₂ Nanocomposite Systems for Highly Efficient Suzuki–Miyaura Coupling Reaction at Room Temperature: Implications for Low-Carbon Green Organic Synthesis

Achieving a room-temperature Suzuki–Miyaura coupling (SMC) with high efficiency is of great significance to the development of low-carbon organic synthesis. Nevertheless, it is still a great challenge to construct a promising nanocatalyst with high activity for room-temperature SMC reaction. In this paper, a strong alkaline-supported nanocatalyst Pd/Mg­(OH)2/MgO–ZrO2 was rationally developed based on MgO–ZrO2 hybrid nanofibers. Physicochemical characterizations present that the in situ conversion of MgO to Mg­(OH)2 on the surface of the nanofibers results in a great increase in surface alkalinity of the carrier. The strong alkalinity can greatly accelerate the oxidation addition and transmetalation of the SMC process, resulting in the obvious reduction of activation energy of the reaction (Ea = 9.0 kJmol–1 for Ph–Br). The coupling conversion can reach up to 100% at room temperature within 8 min with a maximum TOF > 6516 h–1. It also shows an excellent performance in substrate applicability and chlorobenzene activation. The rational design of a high-basicity catalyst for room-temperature SMC will be a rewarding attempt for the development of low-carbon green organic synthesis

Peafowl feathers, cone sensitivity spectra and reflectance spectra for feathers and green vegetation.

(A) An Indian peacock eyespot feather showing the color patch names used in the analysis. (B) Peacock blue breast plumage. (C) Comparison of the cone photoreceptor spectral sensitivities for the Indian peafowl and ferret, which has dichromatic color vision very similar to that of cats and dogs. All spectra are multiplied by the D65 illuminance spectrum used to model sunlight and normalized to unit area. Reflectance spectra of (D) peacock feather eyespots and (E) peacock iridescent blue body plumage and the green saucer magnolia (Magnolia x soulangeana) leaf used as a background for the feather sample images.</p

Comparison of peak spectral responses of predator and bird cones.

Peak single cone spectral sensitivities for ferret S and L cones (Douglas & Jeffery, 2014) and for bird VS/UVS, SWS,MWS and LWS cones from Fig 5B in (Hart & Hunt, 2007) for 21 species of birds from 9 orders.</p

False color images and color and brightness contrast analysis of parrot feathers.

(A) False color images in parrot ultraviolet sensitive (UVS) and dichromatic mammalian predator vision of scarlet macaw, African grey parrot and Amazon parrot red and yellow feathers vs green leaf for different viewing distances. (B)-(E) Color and luminance contrasts for parrot feather colors relative to green vegetation, over a range of viewing distances. See Fig 6 caption for further details.</p

Texture analysis of the model peacock train photographed against various vegetation backgrounds.

(A) Image based on dichromatic mammalian predator luminance channel and (B) result of edge detection on the luminance image. (C) Granularity spectrum for the model peacock train and three different regions of vegetation in the background vs viewing distance. (D) Total spectral energy summed over the granularity spectrum, which gives a measure of overall pattern contrast. (E) Proportional energy, a measure of how much the dominant feature size dominates and hence pattern diversity; (F) spatial frequency at peak spectral energy, which is inversely proportional to the predominant feature size; (G) edge fraction, the proportion of the image corresponding to edges. Data are grand means for all model train images and error bars show 95% CI.</p

False color images and color and brightness contrast analysis of peacock blue neck feathers used to model the body’s appearance against green foliage.

(A) False color images in peafowl and dichromatic mammalian predator vision of peacock blue breast plumage vs green foliage for different viewing distances. (B)-(E) Color and luminance contrasts for the blue plumage relative to green vegetation, over a range of viewing distances. See Fig 6 caption for further details.</p