The HIV Nef protein is a multifunctional virulence factor that perturbs intracellular membranes and signalling secreted into exosomes. While Nef-containing exosomes have distinct proteomic profile, no comprehensive analysis of their miRNA cargo has been carried out. Since functions as viral suppressor RNA interference disturbs the distribution RNA-induced silencing complex proteins between cells exosomes, we hypothesized it might also affect export miRNAs exosomes.Exosomes were purified from...

Tunicate Swarm Algorithm (TSA) is a novel swarm intelligence algorithm developed in 2020. Though it has shown superior performance numerical benchmark function optimization and six engineering design problems over its competitive algorithms, still needs further improvements. This article proposes two improved TSA algorithms using chaos theory, opposition-based learning (OBL) Cauchy mutation. The proposed are termed OCSTA COCSTA. static dynamic OBL used respectively the initialization...

Meta-heuristics are commonly applied to solve various global optimization problems. In order make the meta-heuristics performing a search, balancing their exploration and ability is still an open avenue. This manuscript proposes novel Opposition-based learning scheme, called "PCOBL" (Partial Centroid Learning), inspired by partial centroid. PCOBL aims improve performance through maintaining effective balance between exploitation. was incorporated in three different meta-heuristics,...

Study of epigenetics is currently a high-impact research topic. Multi stage methylation also an area high-dimensional prospect. In this article, we provide new study (intra and inter-species study) on brain tissue between human rhesus two cytosine variants based data-profiles (viz., 5-hydroxymethylcytosine (5hmC) 5-methylcytosine (5mC) samples) through TF-miRNA-gene network module detection. First all, determine differentially 5hmC methylated genes for as well intra-species analysis,...

Abstract Cancer is fast becoming an alarming cause of human death. However, it has been reported that if the disease detected at early stage, diagnosed, treated appropriately, patient better chances survival long life. Machine learning technique with feature-selection contributes greatly to detecting cancer, because efficient method can remove redundant features. In this paper, a Fuzzy Preference-Based Rough Set (FPRS) blended Support Vector (SVM) applied in order predict cancer biomarkers...

Abstract For determination of the relationships among significant gene markers, statistical analysis and association rule mining are considered as very useful protocols. The first protocol identifies differentially expressed/methylated whereas second one produces interesting them across different types samples or conditions. In this article, tests based approaches have been used on expression DNA methylation datasets for prediction classes (viz., Uterine Leiomyoma/class-formersmoker uterine...

Air pollution is one of the major health hazards in modern times. Vehicle contributors to aerial contamination. Significant emphasis has been given by researchers identify traffic pollutant sources. However, there a need for low-cost, automated solution fast detection polluting vehicles from end law enforcers. In this article, we have presented novel deep learning based evaluation strategy that will vehicle through on- road installed surveillance camera images. An enhanced image data set...

In complex network analysis, the problem of ranking individual nodes based on their importance has attracted increasing attention from scientific community due to its vast application, such as identification influential spreaders for viral marketing or epidemic control, bottlenecks traffic congestion and so on. The growing literature proposes a number measures determine rank order entities where complete information about interaction is available. Degree centrality, PageRank, eigenvector...

Superoxide dismutase (SOD) is the primary enzyme of cellular antioxidant defense cascade. Misfolding, concomitant oligomerization, and higher order aggregation human cytosolic SOD are linked to amyotrophic lateral sclerosis (ALS). Although, with two metal ion cofactors SOD1 extremely robust, de-metallated apo form intrinsically disordered. Since rise oxygen-based metabolism systems evolutionary coupled, an interesting protein a deep history. We deployed statistical analysis sequence space...

Understanding the propagation of human health behavior, such as smoking and obesity, identification factors that control phenomenon is an important area research in recent years mainly because, industrialized countries a substantial proportion mortality quality life due to particular behavior patterns, these patterns are modifiable. Predicting individuals who going be overweight or obese future, obesity propagate over dynamic interaction network, problem this area. However, has received...

An important problem in the analysis of complex networks is to mine top k nodes. The existing literature offers several metrics, also called centrality measures which estimates importance using structural properties node, namely, degree, closeness, betweenness, eigenvector centrality, Pagerank etc. Though there exists plenty measures, none them emphasizes non-linearity data. In current study we propose a non-linear principle component based approach identify proposed method evaluated on...

Third world countries are suffering from extreme vehicular air pollution due to dominating number of fossil fuel-driven vehicles on the road. Therefore, in these countries, automatic surveillance systems high demand for close monitoring identify and penalize emitting excessive smoke. In recent times, deep learning-based computer vision rigorously working same. Their accuracy strongly depends training images taken under various imaging conditions. However, there very few publicly available...

Personal vehicles are invariably being preferred over public transport nowadays. Contact-less feature inspection and analysis based on personal preferences will be in high demand among customers the post-pandemic world. A comprehensive online car recommendation system customers' spontaneous choice to understand select features of vehicles. However, clustering such categorical is a challenging task as it difficult compare two textual attributes. In this paper, we have designed cloud-based...

Meso-scale structural analysis, like core decomposition has uncovered groups of nodes that play important roles in the underlying complex systems. The existing approaches generally focus on node properties degree and strength. centric can only capture a limited information about local neighborhood topology. In present work, we propose group density based analysis approach overcome drawbacks approaches. proposed algorithmic focuses weight density, cohesiveness, stability substructure. method...

Vehicle pollution is a major concern in the current world. The technologies are improving day by to reduce caused car. However, we still lagging from addressing this critical issue completely. Therefore, road surveillance should be made stringent capture those vehicles causing serious problem. In article, have proposed deep learning based framework which will identify vehicle images captured on-road camera. We prepared an enriched large data set with significant variations has been used...

<title>Abstract</title> Spotted Hyena Optimizer (SHO) is a population-based metaheuristic algorithm inspired by the spotted hyenas’ social behavior, and it developed for solving global optimization problems. SHO has shown superior performance over its competitive algorithms in benchmark function problems engineering design However, suffers premature convergence local optima due to lack of exploration while multi-modal This article proposes an improved SHO, namely quantum (QSHO), computing....

<title>Abstract</title> Effective air quality monitoring is crucial for understanding and mitigating the adverse impacts of pollution. This research confronts challenges obtaining precise data identifying sources It achieves this by introducing an effective algorithm deployment devices (AQMDs), thereby enhancing efficiency their distribution. Our study initiates verifying current setups AQMD, which have a limited number pre-installed devices. considers spatial distribution pollution to...

Social media has become a nondetachable part of our life, with the exponential growth usage in past decade. sites like Twitter, Facebook, Instagram, Flickr, Weibo, etc., their millions user base, apart from being source entertainment, proven to be very useful mean for public opinion generation, news propagation and information broadcasting by authorities. data analysis been popular research area few years. Detecting subevents social posts identify an unusual event that requires special...