In this article, we study forced oscillatory properties of solutions to nonlinear fractional differential equations with a damping term. Based on the Riemann-Liouville derivative, establish sufficient condition for oscillation all solutions.

Task offloading is a promising technology to exploit the available computational resources in spatially distributed fog nodes efficiently era of computing. In this paper, we look for an online task strategy minimize long-term cost, which factors latency, energy consumption, and switching cost. To end, formulate stochastic programming problem expectations system parameters are allowed change abruptly at unknown time instants. Meanwhile, consider fact that queried can only feed back processing...

Hard carbons (HCs) are extensively investigated as the potential anodes for commercialization of sodium-ion batteries (SIBs). However, practical deployment HC anode suffers from retarded Na+ diffusion at high-rate or low-temperature operation scenarios. Herein, a multiscale modification strategy by tuning microstructure on particle level well replenishing extra reservoir electrode through homogeneous presodiation therapy is presented. Consequently, coulombic efficiency can be precisely...

Efficient control over several possible reaction pathways of free radicals is the chemical basis their highly selective transformations. Among various competing pathways, sulfonimidyl generated from electrolysis 2-alkynylbenzenesulfonamides undergo cascade migratory or

In the context of continual learning, prototypes—as representative class embeddings—offer advantages in memory conservation and mitigation catastrophic forgetting. However, challenges related to semantic drift prototype interference persist. this study, we introduce Contrastive Prototypical Prompt (CPP) approach. Through task-specific prompt-tuning, underpinned by a contrastive learning objective, effectively address both aforementioned challenges. Our evaluations on four challenging...

Purpose To solve the 3C assembly task, traditional robot needs a lot of manual coding and skills learned are faced with problems adapting to scene task diversity, lack generalization ability so on. This paper aims propose skill knowledge multimodal information fusion algorithm (SKMIF). Design/methodology/approach method combines in large language model enhance skills. The SKMIF is used conduct experiments simulated real tasks, which verifies effectiveness single-task multi-task scenarios,...

This paper aims to provide a partial discrete Fourier transform (DFT) pilot sequence assisted joint channel estimation and user activity detection scheme for massive connectivity, in which large number of devices with sporadic transmission communicate base station (BS) the uplink. The device problem can be formulated as compressed sensing single measurement vector or multiple (MMV) depending on whether BS is equipped antennas. Due high hardware cost power consumption multiple-input...

This study investigates the chemical complexity and toxicity of volatile organic compounds (VOCs) emitted from national petrochemical industrial parks their effects on air quality in an area Nanjing, China. Field measurements were conducted 1 December 2022, to 17 April 2023, focusing VOC concentrations speciations, diurnal variations, ozone formation potential (OFP), source identification, associated health risks. The results revealed average total (TVOC) concentration 15.9 ± 12.9 ppb OFP...

Reconfigurable intelligent surface (RIS) is a promising technology for future communication systems, and the channel propagation environment can be controlled in an RIS-assisted network. In this letter, problem of joint estimation device activity detection investigated RIS empowered massive Internet Things system. To achieve satisfactory trade off between system performance hardware overhead, mixed analog-to-digital converters (ADCs) are configured Due to large number antennas equipped at...

We present a microfluidic U-shaped micro-cavity sensor by splicing segment of microfiber few hundred micrometers in length tapered from single-mode fiber (SMF) between two SMFs with predesigned lateral offset for highly sensitive salinity measurement. The proposed sensing probe serves as an in-line microfiber-assisted Mach-Zehnder interferometer (MAMZI) ultra-high refractive index sensitivity 104 nm/RIU. Three structures different cavity lengths 351.82, 242.56, and 181.31 μm are fabricated,...

The Si anodes suffer from the repetitive buildup of solid electrolyte interphase, electrode pulverization upon lithiation/delithiation process, as well Li trapping in alloy intermediates. Herein, a facile electrostatic self-assembly process nanosheets (SiNS) and graphite microsheets (GMs) is proposed viable high-capacity composite anode. Upon appropriate interfacial tailoring, SiNS/GMs not only guarantees intimate contact mode between sand-milled positively charged sheets but also renders...

Harris Hawks Optimization (HHO) simulates the cooperative hunting behavior of hawks and it has advantages fewer control parameters, simple principles, excellent exploitation ability. However, HHO also disadvantages slow convergence easy falling into local optimality. Aiming at above shortcomings, this paper proposes a Multi-strategy Enhanced (MEHHO). Firstly, map-compass operator Cauchy mutation strategy are used to increase population diversity improve ability algorithm jump out optimal....

The Reconfigurable intelligent surface (RIS) is a prospective technique for future massive Internet of things communication networks due to its ability favorable propagation environment customization and controllability. Besides, the equipment large scale antenna arrays with mixed analog-to-digital converters (ADCs) expected make good compromise between performance improvements hardware costs. In this letter we estimate channel state information detect device activity assist RIS in scenario...

This paper studies the reconfigurable intelligent surface (RIS)-enhanced channel estimation and device activity detection technique for next generation massive internet of things (IoT) networks. Thanks to its low cost, RIS can be introduced into IoT networks extend area coverage support more online devices. However, introducing also brings new challenges in connectivity systems owning resulting cascaded inherent passive characteristics. To address this issue, we first formulate RIS-aided as...

To improve the packet delivery ratio of destination- sequenced distance vector (DSDV) routing protocol in mobile ad hoc networks with high mobility, a novel message exchange scheme for its invalid route reconstruction is proposed this paper. When becomes due to link breakage, node that detects breakage tries create new loop-free through neighbors. one-hop area not accomplished, enlarged gradually on demand. Simulation results show compared DSDV, it reduces number dropped data packets little...

The “weak” friction-induced vibration can help to monitor the change in friction and wear state of pairs detect failure surface damage. However, they are typically submerged complex interference components during friction. Therefore, detecting accurate is key using it entirely. A method based on correlation between sound signals was proposed achieve this goal. ball–disk experiments were conducted under oil lubrication a tester. Vibration pressure generated recorded. By spectrum analysis...

Large-scale datasets in the real world inevitably involve label noise. Deep models can gradually overfit noisy labels and thus degrade model generalization. To mitigate effects of noise, learning with (LNL) methods are designed to achieve better generalization performance. Due lack suitable datasets, previous studies have frequently employed synthetic noise mimic real-world However, is not instance-dependent, making this approximation always effective practice. Recent research has proposed...

Task offloading is a promising technology to exploit the benefits of fog computing. An effective task strategy needed utilize computational resources efficiently. In this paper, we endeavor seek an online minimize long-term latency. particular, formulate stochastic programming problem, where expectations system parameters change abruptly at unknown time instants. Meanwhile, consider fact that queried nodes can only feed back processing results after finishing tasks. We then put forward...