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Light plays a vital role on the growth and development of plant. On the base of white light with high color rendering to the benefit of human survival and life, we proposed to improve “color rendering” of LED lighting for accelerating the growth of lettuce. Seven spectral LED lights were adopted to irradiate the lettuces under 150 μmol·m−2·s−1 for a 16 hd−1 photoperiod. The leaf area and number profiles, plant biomass, and photosynthetic rate under the as-prepared LED light treatments were investigated. We let the absorption spectrum of fresh leaf be the emission spectrum of ideal light and then evaluate the “color rendering” of as-prepared LED lights by the Pearson product-moment correlation coefficient and CIE chromaticity coordinates. Under the irradiation of red-yellow-blue light with high correlation coefficient of 0.587, the dry weights and leaf growth rate are 2–3 times as high as the sharp red-blue light. The optimized LED light for lettuce growth can be presumed to be limited to the angle (about 75°) between the vectors passed through the ideal light in the CIE chromaticity coordinates. These findings open up a new idea to assess and find the optimized LED light for plant growth.

A brief analysis of the approaches to the evaluation of foundry technologies’ resource efficiency is presented. It is revealed that when evaluating resource efficiency researchers apply different criteria which do not allow them, on the one hand, to more objectively estimate the parameters and, on the other hand, to relate and compare the advantages and disadvantages of each of the assessment techniques. Representatives of one of the approaches to resource efficiency evaluation focus on determining the technological side, while representatives of the other approach emphasize the priority of the technological and economic aspects. Taking the example of analysing the problems of the technology of casting by gasified models, it has been demonstrated that the evaluation of resource efficiency cannot be unambiguous. Constant monitoring of the process is required. The authors come to conclusion that it is the method of expert evaluation that allows being more flexible in the evaluation of the resource efficiency of foundry technologies. The result of the conducted methodological assessment is the developed formula for estimating the resource efficiency of foundry technologies.

Investigation of efficient red phosphors is highly desired for the development of novel warm white light emitting diodes. In this paper, through a facile method, we first introduce K+ to replace Ba2+ to synthesize a novel K2xBa1-xTiF6:Mn4+ solid solution phosphor with high luminous efficiency, high thermal stability and good waterproofness. Significantly, compared with two best luminescence performance samples (BaTiF6:0.006Mn4+ and K0.070Ba0.965TiF6:0.018Mn4+), the luminescence intensity of K0.070Ba0.965TiF6:0.018Mn4+ is increased by 6 times, the quantum efficiency is improved from 40% to 75% and the activation energy of thermal quenching is improved to 0.940 eV from 0.628 eV. Remarkably, the waterproofness is improved by 45% than traditional red phosphor K2TiF6:Mn4+ after being immersed in water for 150 min. Moreover, a high-performance WLED with low correlated color temperature (CCT = 3930 K), high color rendering index (Ra = 90.3) and luminous efficacy of 105 lm/W is achieved by employing blue-emitting GaN chip, yellow-emitting YAG:Ce3+ phosphor and red-emitting K0.070Ba0.965TiF6:Mn4+ phosphor. These results reveal that introduced suitable cation may have a positive effect on luminescent properties of Mn4+ activated fluoride phosphors, which is a helpful tool for their performance improvement, and K0.070Ba0.965TiF6:Mn4+ presents a good luminescent property and may be a potential candidate for high-performance warm WLED.

BACKGROUND Nanomaterials offer greatly improved ionic transport and electronic conductivity compared with conventional battery and supercapacitor materials. They also enable the occupation of all intercalation sites available in the particle volume, leading to high specific capacities and fast ion diffusion. These features make nanomaterial-based electrodes able to tolerate high currents, offering a promising solution for high-energy and high-power energy storage. However, there are still many challenges associated with their use in energy storage technology and, with the exception of multiwall carbon-nanotube additives and carbon coatings on silicon particles in lithium-ion battery electrodes, the use of nanomaterials in commercial devices is very limited. After decades of development, a library of nanomaterials with versatile chemical compositions and shapes exists, ranging from oxides, chalcogenides, and carbides to carbon and elements forming alloys with lithium. This library includes various particle morphologies, such as zero-dimensional (0D) nanoparticles and quantum dots; 1D nanowires, nanotubes, and nanobelts; 2D nanoflakes and nanosheets; and 3D porous nanonetworks. Combined with lithium and beyond lithium ions, these chemically diverse nanoscale building blocks are available for creating energy storage solutions such as wearable and structural energy storage technology, which are not achievable with conventional materials. ADVANCES The success of nanomaterials in energy storage applications has manifold aspects. Nanostructuring is becoming key in controlling the electrochemical performance and exploiting various charge storage mechanisms, such as surface-based ion adsorption, pseudocapacitance, and diffusion-limited intercalation processes. The development of new high-performance materials, such as redox-active transition-metal carbides (MXenes) with conductivity exceeding that of carbons and other conventional electrode materials by at least an order of magnitude, open the door to the design of current collector–free and high-power next-generation energy storage devices. The combination of nanomaterials in hybrid architectures, such as carbon-silicon and carbon-sulfur, together with the development of versatile methods of nanostructuring, overcome challenges related to large volume change typical for alloying and conversion materials. These examples indicate that nanostructured materials and nanoarchitectured electrodes can provide solutions for designing and realizing high-energy, high-power, and long-lasting energy storage devices. OUTLOOK The limitations of nanomaterials in energy storage devices are related to their high surface area—which causes parasitic reactions with the electrolyte, especially during the first cycle, known as the first cycle irreversibility—as well as their agglomeration. Therefore, future strategies aim to develop smart assembly of nanomaterials into architectures with controlled geometry. Moreover, combining nanomaterials with complementary functionalities, such as high electronic conductivity of graphene or MXenes with high operating voltage and high redox activity of oxides, is necessary. Building sophisticated electrode architectures requires innovative manufacturing approaches, such as printing, knitting, spray deposition, and so on. Already-developed techniques such as 3D printing, roll-to-roll manufacturing, self-assembly from solutions, atomic layer deposition, and other advanced techniques should be used to manufacture devices from nanomaterials that cannot be made by conventional slurry-based methods. Such manufacturing approaches can also enable long-sought flexible, stretchable, wearable, and structural energy storage and harvesting solutions for Internet of Things and other disruptive technologies.

The work presents the results of an experiment studying the effect of radiation spectral content (considering its equal intensity in terms of photosynthetically active radiation) on the growth and development of greenhouse model plants. The results demonstrate that the effective development of model subjects requires the adaptation of radiation spectral content according to the growth period and plant type, unlike the illumination level. The obtained results demonstrate the necessity of the creation of adaptive irradiation unit.

In this paper the initiation thresholds were measured and kinetics of decomposition was studied for pressed powders of FTDO (furasan-1,2,3,4-tetrazin-1,3-dioxide) at pulsed laser action by different laser wavelengths: 266 nm (zone-to-zone absorption), 532 nm (transparency range), 1.064 nm (transparency range) and 10600 nm (phonon absorption) that corresponds to absorption region (266 nm), transparency range (532 nm; 1064 nm) and phonon absorption (10600 nm) of these explosives.

The objective of this paper is to demonstrate the development of complex model of clinical episode, based on data-driven approach, for decision support in treatment of ACS (Acute Coronary Syndrome). The idea is aimed at improving predictive capability of a data-driven model by combining different models within a composite data-driven model. It can be implemented either hierarchical or alternative combination of models. Three examples of data-driven models are described: simple classifier, outcome prediction based on reanimation time and states-based prediction model, to be used as part of complex model of episodes. To implement the proposed approach, a generalized architecture of data-driven clinical decision support systems was developed. The solution is developed as a part of complex clinical decision support system for cardiac diseases for Federal Almazov North-West Medical Research Centre in Saint Petersburg, Russia.