Luminescent lanthanide‐containing compounds have a lot of stimulating applications. However, the fine‐tuning of the optical properties of multi‐nuclear lanthanide edifices is still a big challenge. ...We report here the coordination self‐assembly of a group of bright luminescent lanthanide organic polyhedra (LOPs) with record high emission quantum yields, by using two fully‐conjugated ligands featuring the triazole‐pyridine‐amido (tpa) chelating moiety, easily‐accessible from the “Click” reaction. The self‐assembled LOPs are characterized by NMR spectroscopy, high‐resolution ESI‐TOF‐MS, and X‐ray crystallography. Interestingly, inter‐metal energy transfer (ET) is confirmed on the mixed‐lanthanide polyhedral molecules, though the metal centers are separated nearly 2 nm apart. A feasible ratiometric luminescent thermometer, with work range from cryogenic to physiological temperatures, has been demonstrated with the mixed Eu/Tb LOPs. We envisage these molecular‐level bright luminescent LOPs have great application potential in displaying, labelling/imaging, up‐conversion materials etc.
Red hot! A group of bright luminescent lanthanide organic polyhedra (LOPs) with record‐high emission quantum yields are developed. A feasible ratiometric luminescent thermometer, with working range from cryogenic to physiological temperatures, has been demonstrated with the mixed Eu/Tb LOPs.
Discharge of oily sewage and frequent oil spills have caused serious harm to human production, life, and ecological environment. Due to the presence of a large number of surfactants in water, these ...oil-water mixtures are easy to form oil-in-water emulsion, which is difficult to separate by traditional methods. At the same time, the water-soluble pollutants such as dyes and heavy metal ions in oily wastewater also cause great harm to the human body and the environment. A pine nut shell is a kind of common domestic waste material. Herein, an underwater superoleophobic pine nut shell membrane (PNSM) was prepared by the simple pumping filtration method, which realized the separation of oil-in-water emulsion and adsorption of dyes and heavy metal ions. In addition, the filter membrane can be used for separating corrosive emulsions of strong acid, strong alkali, and 3.5% NaCl solutions (simulated seawater). Besides, the PNSM showed excellent toughness and flexibility. Due to the abovementioned performance, this cost-efficient and environmentally friendly membrane can be a promising candidate for multifunctional oily water remediation.
Battery electric vehicles (BEVs) are an effective way to reduce fossil fuel consumptions and greenhouse gas emissions. This study employs the structural equation model and chi-square test to explore ...public perception barriers to widespread adoption of BEVs in Tianjin. Based on a sample of 476 urban respondents collected by questionnaire, it finds that consumer interest in BEVs is relatively low and a large proportion of the respondents have a “wait and see” attitude. Consumers are unsure about BEVs performance, with safety, reliability, and range per charge being the top three concerns. Respondents who focus on vehicle performance express significantly lower BEV acceptance. High battery cost is the main technological barrier to widespread BEV adoption. In terms of public service support, poor public charging infrastructure ranks as the largest impeditive. In terms of respondent personal characteristics, older respondents have a more optimistic attitude to BEVs than younger generations, more respondents express interest to adopt BEVs as the second family car, experienced drivers are more concerned with the cost of battery and maintenance, and consumers who are more concerned about the environment are more likely to adopt BEVs.
•Fourteen barriers to the adoption of battery electric vehicles (BEV) are discussed.•Consumers are unsure about the performance of battery electric vehicles.•High battery cost is the main technological barrier to the adoption of BEV.•Comparative analyses show the background of respondents influence their viewpoints.
Supramolecular cages/vesicles in biology display sophisticated structures and functions by utilizing a few types of protein subunit quasi‐equivalently at distinct geometrical locations. However, ...synthetic supramolecular cages still lack comparable complexity to reach the high levels of functionality found in natural systems. Herein we report the self‐assembly of giant pentagonal supramolecular prisms (molecular weight >50 kDa) with tetratopic pyridinyl subunits serving different geometrical roles within the structures, and their packing into a novel superstructure with unexpected three‐fold rotational symmetry in a single two‐dimensional layer of crystalline state. The formation of these complicated structures is controlled by both the predetermined angles of the ligands and the mismatched structural tensions created from the multi‐layered geometry of the building blocks. Such a self‐assembly strategy is extensively used by viruses to increase the volume and complexity of capsids and would provide a new approach to construct highly sophisticated supramolecular architectures.
Giant supramolecular pentagonal prisms with pumpkin‐like shapes are self‐assembled with subunits in geometrically non‐equivalent locations. These 5‐fold symmetric solids are able to pack into a new type of 2D periodic superstructure in the (0,0,1) crystal plane with three‐fold rotational symmetry via lateral‐edge to lateral‐edge contacting arrangement of the prisms.
Oocyte meiotic maturation is a vital and final process in oogenesis. Unlike somatic cells, the oocyte needs to undergo two continuous meiotic divisions (meiosis I and meiosis II) to become a haploid ...gamete. Notably, oocyte meiotic progression includes two rounds of unique meiotic arrest and resumption. The first arrest occurs at the G2 (germinal vesicle) stage and meiosis resumption is stimulated by a gonadotropin surge; the second arrest takes place at the metaphase II stage, the stage from which it is released when fertilization takes place. The maturation-promoting factor, which consists of cyclin B1 (CCNB1) and cyclin-dependent kinase 1 (CDK1), is responsible for regulating meiotic resumption and progression, while CDK1 is the unique CDK that acts as the catalytic subunit of maturation-promoting factor. Recent studies showed that except for cyclin B1, multiple cyclins interact with CDK1 to form complexes, which are involved in the regulation of meiotic progression at different stages. Here, we review and discuss the control of oocyte meiotic progression by cyclins A1, A2, B1, B2, B3, and O.
The data processing efficiency of traditional computers is suffering from the intrinsic limitation of physically separated processing and memory units. Logic-in-memory and brain-inspired neuromorphic ...computing are promising in-memory computing paradigms for improving the computing efficiency and avoiding high power consumption caused by extra data movement. However, memristors that can conduct digital memcomputing and neuromorphic computing simultaneously are limited by the difference in the information form between digital data and analogue data. In order to solve this problem, this paper proposes a flexible low-dimensional memristor based on boron nitride (BN), which has ultralow-power non-volatile memory characteristic, reliable digital memcomputing capabilities, and integrated ultrafast neuromorphic computing capabilities in a single in situ computing system. The logic-in-memory basis, including FALSE, material implication (IMP), and NAND, are implemented successfully. The power consumption of the proposed memristor per synaptic event (198 fJ) can be as low as biology (fJ level) and the response time (1 μs) of the neuromorphic computing is four orders of magnitude shorter than that of the human brain (10 ms), paving the way for wearable ultrahigh efficient next-generation in-memory computing architectures.
Intellectualization is an important direction of drying development and artificial intelligence (AI) technologies have been widely used to solve problems of nonlinear function approximation, pattern ...detection, data interpretation, optimization, simulation, diagnosis, control, data sorting, clustering, and noise reduction in different food drying technologies due to the advantages of self-learning ability, adaptive ability, strong fault tolerance and high degree robustness to map the nonlinear structures of arbitrarily complex and dynamic phenomena. This article presents a comprehensive review on intelligent drying technologies and their applications. The paper starts with the introduction of basic theoretical knowledge of ANN, fuzzy logic and expert system. Then, we summarize the AI application of modeling, predicting, and optimization of heat and mass transfer, thermodynamic performance parameters, and quality indicators as well as physiochemical properties of dried products in artificial biomimetic technology (electronic nose, computer vision) and different conventional drying technologies. Furthermore, opportunities and limitations of AI technique in drying are also outlined to provide more ideas for researchers in this area.
For the first time, this study experimentally validates that the depolarization field (<inline-formula> <tex-math notation="LaTeX">{E}_{\text {DE}} </tex-math></inline-formula>) in the ferroelectric ...(FE) film leads to voltage gains in negative capacitance (NC) field-effect transistors (FETs). For both NCFETs with and without a floating gate, the steeper subthreshold swing (SS) and the enhanced <inline-formula> <tex-math notation="LaTeX">{I}_{\text {ON}} </tex-math></inline-formula> are achieved under dc and pulse measurements corresponding to the measured voltage gains ( dV int / dV GS > 1). Furthermore, the voltage gains are theoretically calculated based on the depolarization theory and the voltage distribution across the gate-stack, showing good agreements with the measured results. In conclusion, <inline-formula> <tex-math notation="LaTeX">{E}_{\text {DE}} </tex-math></inline-formula> in an FE film produces the NC effect and the voltage gains. Even with <inline-formula> <tex-math notation="LaTeX">{P} < {1.5} ~\mu \text{C} </tex-math></inline-formula>/cm 2 , sufficient <inline-formula> <tex-math notation="LaTeX">{E}_{\text {DE}} </tex-math></inline-formula> is still produced in NCFETs to achieve improved electrical performance over the reference MOSFET. These findings suggest a way for low-voltage and high-reliability NCFETs.
In this brief, a novel U-shape-channel tunneling field-effect transistor (UTFET) with a SiGe source region is investigated by 2-D technology computer aided design simulation. The enlarged tunneling ...area and enhanced tunneling rate dramatically increase the tunneling current when the device is turned on. Meanwhile, the off-leakage current of UTFET is suppressed because of the extended physical channel length. The on-state tunneling current of UTFET can be further improved by introducing an n + -doped Si delta layer under the source region. The inserted delta layer significantly shortens the band-to-band tunneling path, enlarges tunneling area, and thus enhances the tunneling rate of this device. The average value of the subthreshold swing (SS) of the optimized UTFET is 58 mV/dec when VGS is varied from 0 to 0.46 V. Using the SiGe-source UTFET structure with a delta layer, the merits of low leakage current, high drive current, and ultralow SS can be realized simultaneously.
An artificial synaptic device with a continuous weight modulation behavior is fundamental to the hardware implementation of the bioinspired neuromorphic systems. Recent reported synaptic devices have ...a less number of conductance states, which is not beneficial for the continuous modulation of weights in neuromorphic computing. Preparing a device with as many conductance states as possible is of great significance to the development of brain-inspired neuromorphic computing. Here, we present a two-terminal flexible organic synaptic device with ultra-multimodulated conductance states, realizing a face recognition functionality with a strong error-tolerant nature for the first time. The device shows an excellent long-term potentiation or long-term depression behavior and reliability after 1000 folded destructive tests. There are 600 continuous ultra-multimodulated conductance states, which can be used to realize the great face recognition capability. The recognition rates were 95.2% and above 90% for the initial and 15% noise pixel images, respectively. The strong error-tolerant nature indicates a potential application of a flexible organic artificial synaptic device with ultra-multimodulated conductance states in the large-scale neuromorphic systems.
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