The development of a scalable, low-cost, and versatile biosensor platform for the sensitive rapid detection human metabolites is great interest healthcare, pharmaceuticals, medical science. On basis hierarchically nanostructured conducting polymer hydrogels, we designed flexible that can detect various metabolites, such as uric acid, cholesterol, triglycerides. Owing to unique features high permeability biosubstrates electron transfer, our biosensors demonstrate excellent sensing performance...

Multiplexing, one of the main trends in biosensors, aims to detect several analytes simultaneously by integrating miniature sensors on a chip. However, precisely depositing electrode materials and selective enzymes distinct microelectrode arrays remains an obstacle massively produced multiplexed sensors. Here, we report "drop-on-demand" inkjet printing process fabricate biosensors based nanostructured conductive hydrogels which material kinds were printed employing multinozzle system. The...

Conducting polymer hydrogels (CPHs) are conducting polymer-based materials that contain high water content and have physical properties, resembling the extracellular environment.

Abstract ZnO-nanorods/graphene heterostructure was synthesized by hydrothermal growth of ZnO nanorods on chemically reduced graphene (CRG) film. The hybrid structure demonstrated as a biosensor, where direct electron transfer between glucose oxidase (GOD) and electrode observed. charge attributed to the nanorod wiring redox center GOD ZnO/graphene facilitated transport electrons hybride electrode. sensor based GOD-ZnO/CRG/Pt had high sensitivity 17.64 μA mM −1 , which is higher than most...

Background Pediatric inflammatory bowel disease (IBD), especially Crohn’s disease, significantly affects gut health and quality of life. Although microbiome research has advanced, identifying reliable biomarkers remains difficult due to microbial complexity. Methods We used RNA-seq-based profiling machine learning (ML) find robust in pediatric IBD. Microbial taxa were profiled at phylum, genus, species levels using kraken2 on non-IBD ileal biopsies. performed abundance-based analyses applied...

This paper aims to deal with a four-quadrant gratings alignment method benefiting from phase demodulation for proximity lithography, which combines the advantages of interferometry image processing. Both mask mark and wafer consist four sets gratings, bring convenience simplification realization coarse fine alignment. Four moiré fringes created by superposing are highly sensitive misalignment between them. And can be easily determined through demodulating fringe without any external...

Traditional time series forecasting models are difficult to capture the nonlinear patterns. Support vector regression (SVR) is a powerful tool for modeling inputs and output(s) of complex systems. However, parameters determination SVR model competent accuracy. Several evolutionary algorithms, such as genetic algorithms simulated annealing have been used selection, however, these often suffer problem being trapped in local optimum. In this paper, novel building cooling load approach combining...

Recently wireless power transfer technology (WPT) attracts considerable attention, its incurred electromagnetic radiation (EMR), however, is largely overlooked by most existing literatures. In this paper, we first propose and study the constrained fair charging problem, i.e., maximizing minimum utility of devices adjusting chargers with no EMR intensity at any location in field exceeding a given threshold . To address adopt an area discretization method to transform it from nonlinear linear....

Recently, wireless power transfer technology (WPT) has attracted considerable attention and become a promising to prolong the lifetime of sensor networks (WSNs) by providing perpetual energy sensors. However, electromagnetic radiation (EMR) incurred WPT is largely overlooked in most existing literature. In this article, we first propose study constrained fair charging problem for WPT, i.e., maximizing minimum utility sensors adjusting chargers with no EMR intensity at any location field...

Rationally designed precursors of N-doped carbon are crucial for high performance materials supercapacitor electrodes. Herein, we report a scalable preparation hierarchically structured micro/meso porous nanofiber morphology by using supramolecular assembled polypyrrole as the precursor. The influences dose dopant on final products after carbonization and sequential chemical activation were investigated. interconnected backbone allows better electron transport optimized structure material...

Polyaniline hydrogel sensor with carbon cloth was developed for long-term cell culture and monitoring. H 2 O released from cells can be detected to differentiate the physiological states of imitate different stimuli-responsive behavior.

Accurate building cooling load forecasting is the precondition for optimal control and energy saving operation of HVAC systems. Hourly a difficult work as at given point dependent not only on previous hour but also same day. So accuracy influenced by many unpredicted factors. Support vector machine (SVM) novel type learning machine, which has been successfully employed to solve nonlinear regression time series problems. The key problem SVM selection free parameters. In this paper, it...

This paper proposes a wireless network traffic prediction model based on long-term and short-term memory cyclic neural networks. Through simulation experiments, the throughput of 5G networks using different scheduling algorithms for many types services is studied. The results verify that long has acceptable accuracy algorithm training speed, meets needs prediction, good application prospect.

The development of wireless power transfer (WPT) facilitates rechargeable sensor networks (WRSNs) receiving considerable attention in the network research community. Most existing works mainly focus on general charging patterns and metrics while overlooking precedence constraints among tasks, resulting inefficiency. In this paper, we are first to advance issue scheduling tasks with (SCPC), optimization objective minimizing completion time all under guaranteeing that energy capacity mobile...

The symbiosis and evolution of multiple entities are important factors driving the continuous innovation effective increase economic wealth social value in science technology new cities (STNCs). However, study symbiotic evolutionary relationships STNCs is very limited so far. In this work, we chose Shanghai Zhangjiang STNC to carry out a case deepen our understanding primary between different types an STNC. By assuming inter-entity relationship ecosystem as integrated symbiosis, analyzed...

In recent years, data-driven network resource management and optimization draw broad attention in both industry academia. High-quality data sets are the prerequisite for developing machine learning applications. Knowledge-and-data driven model is basis of future intelligent network. The communication networks possess a plenty computing resources, thus have great potential applying artificial intelligence (AI) technology to develop application AI empower should realize deployment, autonomous...

Point cloud simplification is an important step in reverse engineering and computer vision. Nowadays many researchers are directly working on point sets other than polygonal meshes, while some nasty problems still exist, such as time cost, memory cost accuracy. This paper proposes a novel method for by integrating both re-sampling Affinity Propagation Clustering. The advantage of clustering passing messages among data points fast speed processing. Together with the iterative re-sampling, it...

The development of Wireless Power Transfer (WPT) facilitates wireless rechargeable sensor networks (WRSNs) receiving considerable attention in the network research community. Most existing works mainly focus on general charging patterns and metrics while overlooking precedence constraints among tasks, resulting inefficiency. In this paper, we are first to advance issue Scheduling Charging tasks with Precedence Constraints (SCPC) optimization objective minimizing completion time all under...

Lithography is one of the most important and complicated key equipments for Integrated Circuit (IC) manufacture. The ultra-precision stage subsystem lithography its motion performance impacts directly on resolution throughput lithography. In this paper, a robust high response speed control strategy dual-stage manipulator presented. coarse/fine uses linear motor driven coarse (macro) positioning Lorenz plane fine (micro) stage. By adopting merits both actuator, desirable system having...