The slow regenerating rate and misdirected axonal growth are primary concerns that disturb the curative outcome of peripheral nerve repair. Biophysical intervention through scaffolds can provide efficient, tunable sustainable guidance for regrowth. Herein, we fabricate reduced graphene oxide (rGO)/polycaprolactone (PCL) scaffold characterized with anisotropic microfibers oriented nanogrooves by electrospinning technique. Adipose-derived stem cells (ADSCs) seeded on in vitro viability, neural...

Osteoarthritis (OA) is a common orthopedic degenerative disease, leading to high disability in activities of daily living. There remains an urgent need identify the underlying mechanisms and new therapeutic targets OA diagnosis treatment. Circular RNAs (circRNAs) play role development multiple diseases. Many studies have reported that circRNAs regulate microRNAs (miRNAs) through endogenous competitive mechanism. However, it unclear if interplay between circRNAs, miRNAs, target genes plays...

Abstract Dysregulated alternative splicing has been closely linked to the initiation and progression of tumors. Nevertheless, precise molecular mechanisms through which factors regulate endometrial cancer are still not fully understood. This study demonstrated elevated expression factor SNRPB in samples. Furthermore, our findings indicate that high is correlated with poor prognosis patients cancer. Functionally, inhibition hindered proliferative metastatic capacities cells. Mechanistically,...

Lines of waiting customers are always very long in most banks. The essence this phenomenon is the low efficiency queuing system. In paper, number, service windows number and optimal rate investigated by means theory. technology, problem bank solved. time customer reduced. satisfaction increased. It was proved that model feasible. By example, results effective practical.

Abstract In recent years, large-scale group decision making (LSGDM) has been researched in various fields. Probabilistic linguistic term set (PLTS) is an useful tool to describe evaluation information of experts when solving the LSGDM problem. As decision-making becomes more complex, most cases, makers are unable give complete evaluations over alternatives, which leads lack information. To estimate missing information, this paper proposes a new method based on knowledge-match degree with...

Regions of interest (ROI) usually means the meaningful and important regions in images. The use ROI can avoid processing irrevelent image points accelerate processing. Extraction from images is an unsolved topic area, especially biomedical area. In this paper, a feasible fast constrast-based method proposed to extract Motivated biologically, approach simulates bottom-up human visual selective attention mechanism, computes global contrast each pixel constructs saliency map.Then by...

In the process of decision making, probabilistic linguistic term set (PLTS) is a useful tool to express evaluation information provided by makers (DMs). On basis PLTS, preference relation (PLPR) has been proposed, which can well describe uncertainty preferences when experts conduct pairwise comparison between any two alternatives. The consistency analysis an essential check whether are reasonable and logical. For checking improvement PLPR, some methods have developed work. However, previous...

A new approach for image segmentation based on visual attention mechanism is proposed. Motivated biologically, this simulates the bottom-up human selective mechanism, extracts early vision features of and constructs saliency map. Multi ple such as intensity, color orientation in multiple scales are extracted to get some feature maps. The phase spectra maps analyzed frequency spectrum domain. Then corresponding constructed spatial domain theses combined an integrated According map, salient...

Salient region detection in images is very useful for image processing applications like compressing, segmentation, object and recognition. In this paper, an improved approach to detect salient presented . The proposed method can generate a robust saliency map extract regions with precise boundaries. the method, local saliency, global rarity of three kinds low-level feature contrast intensity, color orientation are used compute visual saliency. A new integration strategy paper. This select...

Abstract This paper is concerned with the problem of observer‐based control for a class uncertain neutral‐type systems subjected to external disturbance by utilizing sliding mode technique. A novel (SMC) strategy proposed based on state estimate and output. new sufficient condition robust asymptotic stability attenuation level overall composed original system error in derived terms linear matrix inequality (LMI). Then, adaptive controller designed guarantee reachability predefined surface...

In the face of multi-attribute decision problems in complex situations, most traditional group methods are based on assumption that maker is perfectly rational, while problems, usually has psychological characteristics limited rationality and may use more than one linguistic term to describe information when expressing To this end, paper selects probabilistic language sets preference information. First, address problem current set correlation coefficient cannot appropriately measure degree...

This study addresses the inadequacy of current quantitative calculation method for decision-maker credibility in hesitant fuzzy multi-attribute decision-making, where is considered. To overcome this limitation, a novel proposed based on principles basic uncertainty information theory under environment. Furthermore, credible-based decision model developed. Initially, paper introduces concept set by combining with theory, thereby enhancing understanding within realm non-interval information....

This paper deals with signed consensus problems for networks of agents in the presence both fixed and switching topologies. By specifying signs agents, they are divided into two groups enabled to reach agreement on a value which is same modulus but not sign. Using nearest-neighbour interaction rules, we propose distributed protocols address their exponential convergence problem. It shown that quasi-strong connectivity or joint can provide necessary sufficient guarantee all achieve...

The reachability and controllability of switched Boolean (control) network are discussed in this paper. Based on semi-tensor product, using the vector form logical variable, is expressed as a discrete time system with state control variables. For without control, stabilization by suitable switching signal discussed. Also, periodic learned, conditions for stability networks avoiding states set C obtained.

Global warming has seriously affected the local climate characteristics of cities, resulting in frequent occurrence urban waterlogging with severe economic losses and casualties. Aiming to improve effectiveness disaster emergency management, we propose a novel decision model embedding similarity algorithms heterogeneous multi-attribute based on case-based reasoning. First, this paper establishes multi-dimensional attribute system catastrophes cases Wuli-Shili-Renli theory. Due heterogeneity...

The problem of integral sliding mode control (ISMC) with passivity is investigated for a class uncertain neutral systems time-varying delay (NTSTD) and external disturbance. system states are unavailable. An ISMC strategy proposed based on the state estimate. By employing novel functional, new sufficient criterion robust asymptotic stability both error (SM) dynamic derived via linear matrix inequality (LMI) technique. Then, SM controller synthesized to guarantee reachability surface...

This paper concerns the weak reachability of probabilistic Boolean control networks (PBCNs). Using semi-tensor product, PBCNs are expressed as discrete time bilinear systems with respect to states and controls. From algebraic form PBCNs, maximum transfer probability matrix for is constructed. matrix, necessary sufficient condition given. Also, a numerical example presented show applicability our approach.