In traditional cloud storage systems, attribute-based encryption (ABE) is regarded as an important technology for solving the problem of data privacy and fine-grained access control. However, in all ABE schemes, private key generator has ability to decrypt stored server, which may bring serious problems such abuse leakage. Meanwhile, model runs a centralized manner, so single point failure leads collapse system. With development blockchain technology, decentralized mode entered public view....

Medical data sharing is of great significance in promoting smart medicine. However, the heterogeneity information systems used by various medical institutions makes difficult. In addition, since involves a deal sensitive information, it could easily lead to leakage personal privacy. Blockchain, gained popularity as distributed ledger technology, has potential connect heterogeneous and provides authenticity integrity guarantees for sharing. Focusing on issues privacy protection, we propose...

Differential evolution (DE) is an efficient and powerful stochastic optimization algorithm. Extensive studies in recent years have verified that different trial vector generation strategies associated control parameters offer distinct characteristics on problems. To take full advantages of them, ensemble methods based various adaptive been proposed during the last decade. Aiming to organically integrate merits some popular parameters, then utilize a multi-role DE (MRDE) this paper. In MRDE,...

As academic research becomes increasingly diverse, traditional literature evaluation methods face significant limitations,particularly in capturing the complexity of dissemination and multidimensional impacts literature. To address these challenges, this paper introduces a novel model citation structural diversity, with focus on assessing its feasibility as an metric. By refining network incorporating both ciation features semantic information, study examines influence proposed diversity...

Community detection is crucial in data mining. Traditional methods primarily focus on graph structure, often neglecting the significance of attribute features. In contrast, deep learning-based approaches incorporate features and local structural information through contrastive learning, improving performance. However, existing algorithms' complex design joint optimization make them difficult to train reduce efficiency. Additionally, these require number communities be predefined, making...

While many multidimensional models of relevance have been posited, prior studies largely exploratory rather than confirmatory. Lacking a methodological framework to quantify the relationships among factors or measure model fit observed data, past could not be empirically tested falsified. To enable more positivist experimentation, Xu and Chen [77] proposed psychometric for modeling. However, we show their exhibits several limitations which call into question validity findings drawn from it....

In differential evolution algorithm (DE), it is a widely accepted method that selecting individuals with higher fitness to generate mutant vector. this case, the population under fitness-based driving force. Although force beneficial for exploitation, sacrifices performance on exploration. paper, novelty-hybrid-fitness introduced trade off contradictions between exploration and exploitation of DE. new proposed DE, named as NFDDE, both novelty values are considered when choosing create...

Feature selection is an important pre-processing step in machine learning and data mining tasks, which improves the performance of models by removing redundant irrelevant features. Many feature algorithms have been widely studied, including greedy random search approaches, to find a subset most features for fulfilling particular task (i.e., classification regression). As powerful swarm-based meta-heuristic method, particle swarm optimization (PSO) reported be suitable problems with...

We present a non-trivial positive lower bound for the critical coupling strength of Cucker–Smale model with short-range communication weight from viewpoint mono-cluster (global) flocking. For long-range weight, it is well known [F. Cucker and S. Smale, Emergent behavior in flocks, IEEE Trans. Automat. Control 52 (2007) 852–862; S.-Y. Ha J.-G. Liu, A proof flocking dynamics mean field limit, Commun. Math. Sci. 7 (2009) 297–325] that as long positive, occurs asymptotically any initial...

This short paper presents initial results from a project, in which we investigated differences how users view relevant and irrelevant Web pages on their visits revisits. The users' viewing of was characterized by eye-tracking measures, with particular attention paid to changes pupil size. data collected lab-based experiment, (N=32) conducted assigned information search tasks Wikipedia. We performed non-parametric tests significance as well classification. Our findings demonstrate measures...

We present an exponential synchronization for the finite-dimensional Kuramoto model identical oscillators under effect of frustration. In presence frustration, total phase balance law and gradient-flow structure are destroyed. Hence gradient flow approach cannot be applied emergence phase-locking, Lyapunov functional based on $\ell^2$-energy diameter only show some results in a restricted set initial configurations smaller than half circle. this paper, we that configuration whose order...

Creativity is an essential part of people's daily life and work across a range everyday tasks. However, little prior has explored how people use search engines information resources as their creative processes, systems might better support users working on In this paper, we conducted online survey with 175 participants to explore (e.g., images, videos, social media) Our reported seeking broad creativity including tasks in arts, writing, crafts, technical projects. findings show that...

Merging and separation of flocking groups are often observed in our natural complex systems. In this paper, we employ the Cucker-Smale particle model to such merging phenomena. For definiteness, consider interaction two homogeneous ensembles present several sufficient frameworks for mono-cluster flocking, bi-cluster partial terms coupling strength, communication weight, initial configurations.

Recently, there has been interest in integrating information retrieval systems more closely with users' knowledge development processes, especially to support exploratory search. In this work, we investigated how people organize and structure they discover during searches. a lab study, asked 24 participants take hand-written notes could use the future while were completing an We then their findings share someone else who wants explore topic. Finally, conducted post-session interviews gain...

Abstract Background To examine the effects of physical and mental health factors family functioning on self‐perception ageing in elderly people. Methods A random cluster sampling method was used to select people aged over 60 from three communities Handan City. Subjects were evaluated via face‐to‐face interviews using Chinese version Ageing Perception Questionnaire, Family Function Scale, SF‐36 Short‐Form Health Survey, a self‐compiled general questionnaire. single factor stepwise multiple...

We present a system that supports Interactive Information Retrieval user studies on the Web. Our provides support for and task management, processing web-based specific interfaces Web-event logging. It also offers functionality useful to IIR capture eye-movement Web page elements. The complements logging offered by typical usability/eye-tracking software packages is designed act in concert with such software.