Abstract Stretchability and compressibility of supercapacitors is an essential element modern electronics, such as flexible, wearable devices. Widely used polyvinyl alcohol‐based electrolytes are neither very stretchable nor compressible, which fundamentally limits the realization with high stretchability compressibility. A new electrolyte that intrinsically super‐stretchable compressible presented. Vinyl hybrid silica nanoparticle cross‐linkers were introduced into polyacrylamide hydrogel...

With intrinsic safety and much higher energy densities than supercapacitors, rechargeable nickel/cobalt–zinc-based textile batteries are promising power sources for next generation personalized wearable electronics. However, high-performance rarely reported because there is a lack of industrially weavable knittable highly conductive yarns. Here, we use scalably produced yarns uniformly covered with zinc (as anode) nickel cobalt hydroxide nanosheets cathode) to fabricate yarn batteries. They...

Atomically precise understanding of componential influences is crucial for looking into the reaction mechanism and controlled synthesis efficient electrocatalysts. Herein, by means comprehensive experimental theoretical studies, we carefully examine effects component dopants on catalytic performance graphitic C3N4 (g-C3N4)-based The g-C3N4 monoliths with three types dopant elements (B, P, S) embedded in different sites (either C or N) C–N skeleton are rationally designed synthesized....

A multidimensional Co–N–C catalyst is developed to deliver excellent trifunctional electroactivities for rechargeable Zn–air batteries and a self-powered water-splitting unit.

Abstract Stretchability and compressibility of supercapacitors is an essential element modern electronics, such as flexible, wearable devices. Widely used polyvinyl alcohol‐based electrolytes are neither very stretchable nor compressible, which fundamentally limits the realization with high stretchability compressibility. A new electrolyte that intrinsically super‐stretchable compressible presented. Vinyl hybrid silica nanoparticle cross‐linkers were introduced into polyacrylamide hydrogel...

For the problems of Grey wolf optimizer (GWO) easy to fall into local optimum and lack population diversity, this thesis raises a combined with an Artificial fish swarm algorithm (AFGWO). First, search method grey wolves is improved by combining clustering behavior (AFSA) which avoids them falling optimum. Second, make exploration exploitation more balanced, individual position worst updated foraging AFSA. Third, AFGWO adds quadratic interpolation elite reverse learning enrich diversity....

Flexible energy storage devices have attracted wide attention because of the increasing requirement wearable electronics. However, comfortability, productivity, and feasibility, to name a few, are still far from satisfactory in current supercapacitors (SCs). This is largely due missing an ideal low-cost flexible substrate/current collector that should not only exhibit high conductivity, but also be compatible with modern textile technologies. Herein, we apply traditional gilding technique...

Background: In recent years, identifying players with injury risk through physical fitness assessment has become a hot topic in sports science research. Although practitioners have conducted many studies on the relationship between and likelihood of injury, two remains indeterminate. Consequently, this study utilized machine learning to preliminary investigate individual tests risk, aiming identify whether patterns change an impact risk. Methods: This retrospective analysis by extracting...

The application of machine learning algorithms in studying injury assessment methods based on data analysis has recently provided a new research insight for sports prevention. However, the used these studies are primarily multi-source and multimodal (i.e., longitudinal repeated-measures cross-sectional data), resulting models not fully utilising information to reveal specific risk patterns. Therefore, this study proposed an prediction model multi-modal strategy handle better predict risk....

This paper describes the system for YNU-HPCC team in WASSA-2023 Shared Task 1: Empathy Detection and Emotion Classification. task needs to predict empathy, emotion, personality of empathic reactions. is mainly based on Decoding-enhanced BERT with disentangled attention (DeBERTa) model parameter-efficient fine-tuning (PEFT) Robustly Optimized Pretraining Approach (RoBERTa). Low-Rank Adaptation (LoRA) PEFT used reduce training parameters large language models. Moreover, back translation...

Federated learning (FL) is a machine setting which allows multiple participants collaboratively to train model under the orchestration of server without disclosing their local data. Vertical federated (VFL) special structure in FL. It handles situation where have same ID space but different feature spaces. In order guarantee security and privacy data each participant, homomorphic encryption (HE) often used transmit intermediate parameters or during training process. most VFL frameworks,...

Abstract Collaborative filtering is one of the most successful and widely used recommendation systems. A hybrid collaborative method called data sensitive based on community detection (DSRCD) proposed as a solution to cold start sparsity problems in CF. Data similarity combined with Pearson calculate between users. α control parameter. predicted rating mechanism solve problem obtain more accurate recommendation. Both user-user item-item are considered mechanism. β Moreover, constructed...

With the development of technology and progress life, more people, regardless entertainment, learning, or work, cannot do without computer desks put down their mobile phones. Due to prolonged sitting often neglecting importance posture, incorrect posture can lead health problems such as hunchback, lumbar muscle strain, shoulder neck pain over time. To address this issue, we designed a vision-based human body detection system. The system utilizes YOLOv8 accurately locate key points skeleton,...

Hot metal desulphurization process is a complex and nonlinear process, final sulfur content in hot difficult to measurement on-line. In order predict the accurately, model based on support vector machine (SVM) was proposed. The cleared outlier from modeling data through robust regression method inconsistent rough set theory, quality of improved. improved accuracy SVM immune evolutionary algorithm (IEA). Simulation results show that high accuracy, it can provide effective guidance for production.

LOD model based on quad-trees is improved the basis of former researches. This applied to manage and organize terrain data. Node judgment rule established determine detail degree present visual area. A new bidirectional way was given recover cracks according distance. By programming, this method proved be able generate multi-resolution continuously, improve efficiency navigation, realize smooth transition models with different resolution.

In recent years, CBIR (content-based image retrieval) becomes a new hotspot. the technology, querying is achieved based on characteristics of color, shape, texture, spatial position object or combination these features. As images are most intuitive contents in multimedia, content-based retrieval very important problem multimedia information processing. Spiking cortical model (SCM) used this paper neural network algorithm that generates series binary pulse when excited by grayscale color...

Whitecaps generated by wave breaking on the ocean surface play an important role in local interaction across air-sea interface. Whitecap coverage is defined area of whitecaps per unit surface. It has been recognized as one most valuable physical quantities for describing fluxes such momentum, heat and carbon dioxide, so that quantitative evaluation whitecap becomes significant from viewpoints coastal engineering. In this study, a progressive high-precision extraction model first built using...

Federated learning allows multiple participants to conduct joint modeling without disclosing their local data. Vertical federated (VFL) handles the situation where share same ID space and different feature spaces. In most VFL frameworks, protect security privacy of participants' data, a third party is needed generate homomorphic encryption key pairs perform decryption operations. this way, granted right decrypt information related model parameters. However, it isn't easy find such credible...

It is important to characterize the transition process of wind-driven water surface be closely connected momentum and gas exchanges across air-sea interface. In present study, flow was investigated by means laboratory experiments, which were carried out using a wind-water tunnel, 17m long, 0.6m wide 0.8m high. The velocity flow, Lagrangian consisting Eulerian Stokes drift velocity, evaluated measuring float disk rafting on surface. According experimental results, we examined critical...