This study presents the characterization of a novel multilayered three-dimensional (3D) polymer exhibiting aggregation-induced emission (AIE) properties when excited at low wavelength 280 nm.

This study reports the novel synthesis of multilayered 3D polymers via 1,3,5-position coupling 1,3,5-tris(4,4,5,5-tetramethyl-1,3,2-dioxaborolan-2-yl)benzene with 1,8-dibronaphthalene, a previously unreported method.

This study reports the synthesis of novel multilayer 3D chiral polymers using 2,2′-(2,7-Naphthalenediyl)bis [4,4,5,5-tetramethyl-1,3,2-dioxaborolane] and 1,8-dibronaphthalene along with its derivatives as key precursors. Comprehensive characterization was performed nuclear magnetic resonance (NMR), gel permeation chromatography (GPC), photoluminescence, ultraviolet (UV) spectroscopy, scanning electron microscopy (SEM), polarimetry, dynamic light scattering (DLS), thermogravimetric analysis...

Localization is one of the most fundamental problems in wireless sensor networks, since locations nodes are critical to both network operations and application level tasks. A GPS-free localization scheme for networks presented this paper. First, we develop a standardized clustering-based approach local coordinate system formation wherein multiplication factor introduced regulate number master slave degree connectivity among nodes. Second, using homogeneous coordinates, derive transformation...

In view of the high complexity objective world, an economic dependence between subsystems (paired and unpaired) is proposed, then maintenance cost time under different dependences are formulated in a simple consistent manner. Selective problem (EDSMP) presented based on series–parallel system this paper. A case study shows that reliability promoted to certain extent, which can validate validity EDSMP model. The influence ratio set-up performance mainly discussed dependences. Several existing...

Abstract In this study, the synthesis of a novel chiral multilayer 3D polymer based on diether structure is reported. This architecture not only imparts chirality but also facilitates study aggregation‐induced emission (AIE) and polarization (AIP). Using various polymerization techniques, multilayered structures are constructed that exhibit significant AIE, marked by increased luminescence upon aggregation, notable AIP behavior, indicating enhanced optical activity. Comprehensive...

Abstract Feature dimension reduction in the community detection is an important research topic complex networks and has attracted many efforts recent years. However, most of existing algorithms developed for this purpose take advantage classical mechanisms, which may be long experimental, time-consuming, ineffective networks. To purpose, a novel deep sparse autoencoder detection, named DSACD, proposed paper. In similarity matrix constructed to reveal indirect connections between nodes...

The artificial endocrine system (AES) is a new branch of natural computing which uses ideas and takes inspiration from the information processing mechanisms contained in mammalian system. It fast growing research field variety theoretical models technical methods have been studied for dealing with complex significant problems. An overview some recent advances AES modeling its applications provided this paper, based on major latest works. This review covers modeling, combinations algorithms,...

<abstract> <p>Evolutionary multitasking optimization (EMTO) handles multiple tasks simultaneously by transferring and sharing valuable knowledge from other relevant tasks. How to effectively identify transferred reduce negative transfer are two key issues in EMTO. Many existing EMTO algorithms treat the elite solutions as between However, these may not be effective enough when global optimums of far apart. In this paper, we study an adaptive evolutionary algorithm based on...

This study investigates the synthesis and characterization of alkyne-based multilayered three-dimensional (3D) polymers, which exhibit a subtle aggregation-induced emission (AIE) phenomenon. The polymers demonstrate significant potential as fluorescent probes for selective detection chromium (VI) ions (Cr6⁺), showcasing their utility in environmental sensing applications. Additionally, circular dichroism (CD) spectra reveal pronounced cotton effect, indicative chiral properties, while...

Brain storm optimization algorithm (BSO) is a popular swarm intelligence algorithm. A significant part of BSO to divide the population into different clusters with clustering strategy, and blind disturbance operator used generate offspring. However, this mechanism easy lead premature convergence due lacking effective direction information. In paper, an enhanced based on modified Nelder–Mead elite learning (BSONME) proposed improve performance BSO. BSONEM algorithm, method explore...

Within the sentiment classification field, convolutional neural network (CNN) and long short-term memory (LSTM) are praised for their prediction performance, but accuracy, loss rate, time not ideal. To this purpose, a deep learning structure combining improved cross entropy weight word is proposed solving cross-domain classification, which focuses on achieving better text by optimizing improving recurrent (RNN) CNN. Firstly, we use idea of hinge function (hinge loss) triplet (triplet to...

In this paper, we propose a novel definition of opposite path. Its core feature is that the sequence candidate paths and distances between adjacent nodes in tour are considered simultaneously. sense, path its corresponding have same (or similar at least) distance to optimal current population. Based on an accepted framework for employing opposition-based learning, Oppositional Biogeography-Based Optimization using Current Optimum, called COOBBO algorithm, introduced solve traveling salesman...

In this paper, a novel definition of opposite path is proposed. Its core feature that the node sequence candidate paths and distances between adjacent nodes in tour are considered simultaneously. sense, its corresponding have same (or similar, at least) distance from optimal current population. Based on an accepted framework for employing opposition-based learning, Oppositional Biogeography-Based Optimization using Current Optimum, called COOBBO algorithm, introduced to solve combinatorial...

Car following is the most common phenomenon in single-lane traffic. The accuracy of acceleration prediction can be effectively improved by driver’s memory car-following behaviour. In addition, Apollo autonomous driving platform launched Baidu Inc. provides fast test vehicle models. Therefore, this paper proposes a model (CFDT) with driver time based on real-world traffic data. CFDT firstly constructed embedded gantry control unit storage capacity (GRU assisted) network. Secondly, NGSIM...