This work provides a theory of the general structure mixed-spin fractional quantum Hall states, which are relevant at low magnetic fields. This, in particular, leads to microscopic description experimetnally observed states \ensuremath{\nu}=2/3, 4) / 3 , and 3/5. Antiparallel-flux-attachement transformation composite fermion plays an important role explaining filling factor range 3/2>\ensuremath{\nu}>1/2.

Because of its Lewis acid property that can bind phosphate even at trace levels, Lanthanum (La) shows great potential for phosphorus (P) removal and recovery. Although many studies have reported the synthesis novel La-based adsorbents with strong adsorption capacities, there is insufficient knowledge reaction mechanisms, interfering factors, application obstacles different under varying water/wastewater compositions. To evaluate barriers using P recovery, this paper presents an analysis...

Several data collection algorithms, which are based on the combination of using mobile sinks and multiple-hop forwarding, have been proposed to prolong network lifetime wireless sensor networks. However, most approaches treat point selection touring path planning as two independent problems, leads a sub-optimal solution for collection. This article an ant colony optimization end-to-end strategy perform simultaneously. The algorithm first constructs data-forwarding tree, then heuristically...

Air sparging (AS) is one of the most efficient techniques for remediating saturated soils and groundwater contaminated with volatile organic compounds. A series physical modeling tests different sizes porous media under varied injection pressure were conducted to investigate effect particle size air on shape zone influence (ZOI). The test results show that ZOI can be expressed by two components: horizontal expansion due pneumatic fracture or preferential intrusion around point angle which...

Recently, mega Low Earth Orbit (LEO) Satellite Network (LSN) systems have gained more and attention due to low latency, broadband communications global coverage for ground users. One of the primary challenges LSN with inter-satellite links is routing strategy calculation maintenance, constellation scale dynamic network topology feature. In order seek an efficient strategy, a Q-learning-based distributed Routing scheme LSNs (QRLSN) proposed in this paper. To achieve end-to-end delay traffic...

Abstract Cold spray additive manufacturing is an emerging solid-state deposition process that enables large-scale components to be manufactured at high-production rates. Control over geometry important for reducing the development and growth of defects during 3D build improving final dimensional accuracy quality components. To this end, a machine learning approach has recently gained interest in modeling additively geometry; however, such data-driven framework lacks explicit consideration...

A glucose–xylose–phenolics (GXP) system was developed by engineering Escherichia coli – consortia to achieve the full use of lignocellulosic biomass for efficient synthesis l -tyrosine and its analogues.

The scarcity of labeled samples has been the main obstacle to development scene classification for remote sensing images. To alleviate this problem, efforts have dedicated semisupervised which exploits both and unlabeled training classifiers. In letter, we propose a novel method that utilizes effective residual convolutional neural network (ResNet) extract preliminary image features. Moreover, strategy ensemble learning (EL) is adopted establish discriminative representations by exploring...

Cold spray additive manufacturing is an emerging technology that offers the ability to deposit oxygen-sensitive materials and manufacture large components in solid state. For further development of technology, geometric control cold sprayed fundamental but not yet fully matured. This study presents a neural network predictive modelling single-track profile address problem. In contrast previous studies focusing only on key feature predictions, model was employed demonstrate its capability...

Big data analytics constitutes a key component in the pursuit of enhancing educational efficiency. This study defines concept flipped classroom context new media communication, evaluates state audiovisual instruction higher education, and advocates for use this methodology to enhance college students' English listening speaking skills. Utilizing multiple linear regression conditional quantile model, research quantifies range impact on acquisition foreign language. To address deficiencies...

This paper is concerned with application of standard wireless COTS protocols to space. Suitability commercially available sensor mote kits for communication inside and between satellites investigated. Spacecraft applications motes are being considered a set requirements identified. Selected tested under various scenarios complying spacecraft testing procedures. The details the results carried out functional, EMC/I, vibration, thermal radiation tests.

Red–green–blue polymer laser emission is achieved in a free-standing membrane device consisting of three distributed feedback cavities.

An ultrathin plasmonic random laser is fabricated by a simple lift off process, which consists of free-standing polymer membrane embedded with silver nanoparticles. Low threshold lasing observed when the 200-nm-thick device optically pumped, due to strong feedback and high-quality waveguide confinement provided nanoparticles membrane, respectively. The very flexible transplantable, can be attached an optical fiber end face achieve lasing. This fabrication technique provides promising way...

Cold spray is emerging as an additive manufacturing technique, particularly advantageous when high production rate and large build sizes are in demand. To further accelerate technology’s industrial maturity, the problem of geometric control must be improved, a neural network model has emerged to predict additively manufactured geometry. However, limited data on effect deposition conditions geometry growth often problematic. Therefore, this study presents data-efficient modelling single-track...

To investigate the size effect on energy characteristics of axial flow pumps, this study scaled original model based head similarity principle, resulting in four schemes (Schemes 2–4 correspond to 3, 5, and 10 times Scheme 1, respectively). By solving unsteady Reynolds-averaged Navier–Stokes (URANS) equations with Shear Stress Transport (SST) k-omega turbulence model, external characteristic parameters internal field structures were predicted. Additionally, spatial distribution hydraulic...

Pneumatic force control has a broad application background in the automation field, such as industrial polishing, robotic grasping, and humanoid robots. Nonlinear hysteresis characteristics are one of major factors that affect feedforward performance pneumatic system. The primary motivation this paper is to develop an accurate actuating method for single-acting cylinder with nonlinear characteristic. A data-driven neural network modeling presented achieve modeling. accuracy model under...