An Efficient Big Data Visualization Deep Learning Architecture Model for Path Selection of College Students through Moral Education

Visualization technology can be used to present the analysis results in a more intuitive and easy-to-understand way, which can help educators to better understand the moral education needs of college students, and adjust their teaching strategies accordingly. The combination of big data analysis and visualization technology can also help to improve the efficiency and effectiveness of moral education in colleges and universities. The research on the moral education path selection of college students based on big data visualization has great significance for promoting the development of moral education in colleges and universities, and for cultivating high-quality talent with good moral character. This paper proposed an Optimization model for big data analytics for moral education. The data associated with moral education and information are stored in cloud with the big data. The stored big data visualization process is performed with the optimization model for the feature extraction. The optimization is performed with an integrated Flamingo and weighted black widow Optimization model. The proposed model is stated as the Integrated Flamingo Black Widow (IFBW) model. The performance of the IFBW model is implemented with the deep learning Restricted Boltzmann Machine (RBM) architecture. Simulation analysis stated that IFBW model achieves a higher classification accuracy rate of 99% with a minimal error rate

Wetting of Laser Textured Cu Surface by Ethylene Glycol and Sn

The effect of microcosmic morphologies of textured Cu surface by nanosecond laser on the inert wetting and reactive wetting, i.e., ethylene glycol/copper and tin/copper wetting systems, was studied by using modified sessile drop methods. To create different surface roughness, the microcosmic morphologies with different spacing of grooves were constructed by nanosecond laser. The results showed that the inert wetting (ethylene glycol/copper) was consistent with Wenzel model, while the reactive wetting results deviated from the model. In Sn/Cu reactive wetting system, the interfacial evolution in the early stage and the pinning of triple line by the precipitated h-Cu6Sn5 caused the rougher surface and the worse final wettability. When the scale of artificial roughness exceeded the roughness that was caused by interfacial reaction after reaching the quasi-equilibrium state at interface, the final wettability could be improved

Fluorescent substituted maleimides : from small molecule fluorophore to polymeric barcoding

This thesis explored the synthesis and the fluorescence properties of the substituted maleimides and investigated their applications in polymer and bio related applications. Chapter 1: A general introduction is given in terms of the basic mechanism in the fluorescent involved photo-physical process. The design strategies of fluorescent materials were described and exampled. The polymer-based fluorescent materials were further highlighted with diverse applications in imaging, labeling, information storage, and many other areas. Chapter 2: Substituted maleimides as the new class of small molecule fluorophores have been introduced with ideal functional capacity in polymer modification areas. In this chapter, several mono-substituted maleimides have been designed and synthesized through mono-substitution reactions to explore the effect on fluorescent properties. By systematically tailoring the substituents on the C=C double bond (halogen and electron-donating groups), remarkable fluorescent properties such as tunable emission, high fluorescence quantum yields (up to 64%), and solvafluorochromic properties were achieved. Supported by the computational results, the variation of substitution groups allowed us to explore the fluorescence mechanism related to the electron localization. In this regard, the fluorescent properties of substituted maleimide structures could potentially be predicted and tuned for various applications. Chapter 3: Building upon chapter 2, further exploring the relationship between the structure of maleimides and their optical properties is essential for a full understanding of the fluorescence mechanism. In this chapter, a series of unsymmetrical di-substituted maleimides bearing multiple groups have been designed and synthesized to explore the effect on fluorescent properties and achieve higher degree of modification within one molecule. Significantly, the optical properties were investigated with remarkable red-shifted emissions (~50 nm) expanded from blue to yellow region and achieved large stocks shifts around 160 nm. More importantly, the different electron localization caused by the two substituents were rationalized based on the DFT simulation results. The unexpected aggregation-induced emission effect in amino thiol maleimides bearing thiophenol groups was discovered for the first time, which lead to an interest in the investigation of the maleimides fluorophores in response to the aggregation states. Chapter 4: A substituted maleimides based polymeric nanogel system has been developed which exhibited robust lifetime-switching behavior via fluorescence resonance energy transfer to a spiropyran photoswitch. In this nanogel system, the manipulating of the fluorescent lifetime by means of UV/Vis light could be applied in the information encrypting and encoding. The ability to reversibly code using fluorescent lifetime enables us to solve the problems of spectra overlap and difficulty in resolving the signal in previous fluorescence barcoding. Furthermore, we showcase the biological applications in living cell barcoding and achieved subcellular coding by fluorescence lifetime imaging technique

CounTR: Transformer-based Generalised Visual Counting

In this paper, we consider the problem of generalised visual object counting, with the goal of developing a computational model for counting the number of objects from arbitrary semantic categories, using arbitrary number of "exemplars", i.e. zero-shot or few-shot counting. To this end, we make the following four contributions: (1) We introduce a novel transformer-based architecture for generalised visual object counting, termed as Counting Transformer (CounTR), which explicitly capture the similarity between image patches or with given "exemplars" with the attention mechanism;(2) We adopt a two-stage training regime, that first pre-trains the model with self-supervised learning, and followed by supervised fine-tuning;(3) We propose a simple, scalable pipeline for synthesizing training images with a large number of instances or that from different semantic categories, explicitly forcing the model to make use of the given "exemplars";(4) We conduct thorough ablation studies on the large-scale counting benchmark, e.g. FSC-147, and demonstrate state-of-the-art performance on both zero and few-shot settings.Comment: Accepted by BMVC202

Substituted Maleimides:Self‐Reportable Linkers and Tags in Bioconjugation, Materials Science, and Nanotechnology

Substituted maleimides are customisable fluorescent linkers and probes with adaptable reactivity and optical properties. Their compact nature and tunability has led to their use in various applications. For example, their solvatochromic properties offer real‐time feedback on linking chemistry and environmental changes, essential for applications in material labelling, drug delivery, and nanoparticle functionalisation. This review focusses on developing, synthesising, and modifying substituted maleimides as environment‐sensitive fluorescent linkers and probes. It delves into their photophysical dynamics and strategic applications, highlighting their significant contributions to macromolecule conjugation and the development of self‐reporting materials