Hydrogen‐Bonding‐Assisted Intermolecular Charge Transfer: A New Strategy to Design Single‐Component White‐Light‐Emitting Materials

This study reveals the mechanism of the dual‐emission properties for asymmetrical diphenylsulfone and diphenylketone derivatives. A series of asymmetrical diphenylketone and diphenylsulfone derivatives with dual‐emission properties are designed and synthesized. By single crystal structure analyses, various photophysical studies, and 2D ¹H–¹H NOSEY NMR studies, the lower energy emission bands in the dual‐emission spectra are successfully assigned to hydrogen‐bonding‐assisted intermolecular charge transfer emission. The emission properties of these compounds can easily be tuned in both solid state and solution state by destroying or strengthening the intermolecular hydrogen bonding. In addition, thermally activated delayed fluorescence characteristics for the intermolecular charge transfer emissions are also observed. The control of the intermolecular and intramolecular charge transfers serves as the basis for the generation of the white‐light emission. For compound CPzPO, nearly pure white‐light emission with CIE coordinates of (0.31, 0.32) is easily achieved by precipitation from dichloromethane and hexane mixed solvent system. These results clearly give an insight into the dual‐emission properties and provide a rational strategy for the design and synthesis of single‐component white‐light‐emitting materials and mechanoresponsive light‐emitting materials.     

Modeling net energy efficiencies as quantitative characteristics in lactating cows

To date, researchers have measured net efficiencies of energy conversion using data from animals in energy chambers. The expense of this approach prevents the establishment of a large data base for quantitative studies. Our purpose was to investigate models that would enable us to use data collectable in normal field conditions to compare dairy cattle for their net energetic efficiency. Data from 357 Holstein cows in seven herds and in various parities consisted of daily measures of DM intake, net energy intake, milk production, biweekly measures of milk components, and bimonthly BW. Eighteen alternative multiple regression models were fitted to each of the cows to estimate simultaneously net efficiency of energy conversion for maintenance, lactation, pregnancy, and BW change during positive energy balance period, negative energy balance period, and whole lactation. Results from several fitted models approximated closely literature results based on data from cows in energy chambers. These comparative results suggest that it is possible to estimate efficiency of energy conversion on individual cows using data obtained from normal animal management situations.     

Self-Adhesive Polydimethylsiloxane Foam Materials Decorated with MXene/Cellulose Nanofiber Interconnected Network for Versatile Functionalities

Polydimethylsiloxanes (PDMS) foam as one of next-generation polymer foam materials shows poor surface adhesion and limited functionality, which greatly restricts its potential applications. Fabrication of advanced PDMS foam materials with multiple functionalities remains a critical challenge. In this study, unprecedented self-adhesive PDMS foam materials are reported with worm-like rough structure and reactive groups for fabricating multifunctional PDMS foam nanocomposites decorated with MXene/cellulose nanofiber (MXene/CNF) interconnected network by a facile silicone foaming and dip-coating strategy followed by silane surface modification. Interestingly, such self-adhesive PDMS foam produces strong interfacial adhesion with the hybrid MXene/CNF nano-coatings. Consequently, the optimized PDMS foam nanocomposites have excellent surface super-hydrophobicity (water contact angle of ≈159^o), tunable electrical conductivity (from 10⁻⁸ to 10 S m⁻¹), stable compressive cyclic reliability in both wide-temperature range (from −20 to 200 ^oC) and complex environments (acid, sodium, and alkali conditions), outstanding flame resistance (LOI value of >27% and low smoke production rate), good thermal insulating performance and reliable strain sensing in various stress modes and complex environmental conditions. It provides a new route for the rational design and development of advanced PDMS foam nanocomposites with versatile multifunctionalities for various promising applications such as intelligent healthcare monitoring and fire-safe thermal insulation.     

二氧化硅与硅界面及其对能带轮廓及MOSFET栅遂穿电流影响的理论研究

利用第一原理对双键及桥氧两种二氧化硅与硅界面模型进行了理论研究。结果表明双键模型的界面转变区宽度较大。这种差别会导致MOSFET栅漏电的不同。遂穿电流的计算表明界面双键模型结构有较大的栅漏电。     

热处理对紫色翡翠光谱学特征影响的研究

使用X射线衍射仪(XRD)、紫外-可见吸收光谱仪(UV-VIS)与拉曼光谱仪,对进行氧化气氛热处理前后的紫色翡翠样品进行光谱测试。XRD分析结果显示,紫色翡翠样品中95%以上是硬玉成分。热处理前后的紫外-可见吸收光谱对比结果显示,样品热处理后的光谱和热处理前相比,437nm处尖峰以及580nm处吸收包基本消失;而拉曼光谱图对比结果显示,热处理后黄褐色部位拉曼峰值基线整体呈上升趋势。分析结果表明,紫色翡翠样品主要致色离子为Fe2+,在经过热处理后,Fe2+氧化成为Fe3+,生成Fe2O3,从而致使热处理后的紫色翡翠样品呈现出黄褐色。     

Femtocell在中小企业的应用

主要探讨Femtocell在3G时代的价值,分析Femtocell在中小企业的应用,以及其在满足中小企业应用所应进一步增强的各种能力建设。     

固结磨料抛光K9光学玻璃的工艺实验研究

采用一种亲水性固结磨料抛光垫(FAP),通过单因素实验法,系统地研究了抛光K9光学玻璃过程中抛光时间、偏心距、压力、转速、抛光液流量及pH值等工艺参数对材料去除速率(MRR)和表面粗糙度的影响规律,并对实验结果进行了解释。结果表明:随着抛光时间的延长,K9光学玻璃的MRR逐渐呈下降趋势;在抛光20min时,MRR达最大值310nm/min,且表面粗糙度降至最低值为2.73nm;选择较大的偏心距和碱性抛光液环境均有利于提高MRR;随着抛光盘转速的升高,MRR将显著增大。而在一定范围内,抛光压力和抛光液流量对MRR的影响不大。     

基于合作中继的OFDM蜂窝网络的QoS感知资源调度算法

针对基于中继的OFDM蜂窝网络,该文考虑具有不同QoS要求的混合业务场景,引入合作传输机制,提出了一种基于合作中继的QoS感知资源调度算法,解决了合作中继节点选取,子载波分配以及功率控制等问题。以最大化系统效用为目标,在考虑QoS业务的速率要求与基站功率约束的同时,针对中继结构引入了中继节点的功率约束。为降低计算复杂度,将原非线性组合优化问题分解为子载波分配与功率控制两个子问题。仿真结果表明,该文所提算法在能量节约、系统效用,吞吐量等性能方面都有显著优势。     

Semidefinite programming relaxation approach for multiuser detection of QAM signals

A semidefinite programming (SDP) relaxation approach is proposed to solve multiuser detection problems in systems with M-ary quadrature amplitude modulation (M-QAM). In the proposed approach, the optimal M-ary maximum likelihood (ML) detection is carried out by converting the associated M-ary integer programming problem into a binary integer programming problem. Then a relaxation approach is adopted to convert the binary integer programming problem into an SDP problem. This relaxation process leads to a detector of much reduced complexity. A multistage approach is then proposed to improve the performance of the SDP relaxation based detectors. Computer simulations demonstrate that the symbol-error rate (SER) performance offered by the proposed multistage SDP relaxation based detectors outperforms that of several existing suboptimal detectors.