An increasing number of studies have reported neonicotinoid insecticides (NEOs), the emerging alternatives to conventional insecticides, may increase oxidative stress and cause adverse health effects, but limited is known about prenatal NEOs exposures their impact on birth outcomes.We investigated levels exposure NEOs/metabolites, assess associations with outcomes, investigate whether these could be mediated by using 8-OHdG as biomarker.We studied 296 mother-infant pairs recruited from...

Fault detection and diagnosis (FDD) fault tolerant control (FTC) are increasingly important for wheeled mobile robots (WMRs), especially those in unknown environments such as planetary exploration. Due to the importance of reliability safe operation WMRs, this paper presents a survey state-of-the-art FDD & FTC WMRs under environments. Firstly, we briefly introduce main components, typical kinematics models error inertial navigation sensors. Secondly, discuss approaches FDD/FTC including...

Sugar-sweetened beverage (SSB) consumption and inadequate moderate-to-vigorous physical activity (MVPA) have been suggested as potential contributors to overweight/obesity during childhood or adolescence; however, the results of previous studies are inconsistent. It was crucial estimate independent joint association SSB MVPA for adolescent overweight/obesity. The "Surveillance Common Disease Health Risk Factors Among Students in Jiangsu Province 2021-2022" initiative provided us with...

In a ciphertext-policy attribute-based encryption (CP-ABE) system, the decryption keys are only related to attributes shared by multiple users and do not contain any identity information of their original holders. Hence, if key is leaked, there no feasible method trace suspicious user. The user tracing problem has become an obstacle adoption CP-ABE in practice. order address it, some traceable/accountable schemes have been established. However, considering multi-domain environment will face...

Fault detection and diagnosis (FDD) is increasingly important for wheeled mobile robots (WMRs). One of the most promising approaches so-called particle filter (also known as sequential Monte Carlo) method. In this paper, rule based inference multiple filters are integrated to diagnose hard faults WMR's dead reckoning system. The method employed determine states movement robot in plane each state monitored with a filter. This approach presents general framework combine domain knowledge...

Fault detection and diagnosis (FDD) is very important for wheeled mobile robots (WMRs). In this paper, an adaptive particle filter developed to deal with unknown fault as well known robots. Two parameters are extracted from sample-based expression a posteriori probability density: sum of unnormalized weight samples, Kullback-Leiber divergence proposal distribution distribution. Decision rules derived determine novel faults based on these parameters. state space adapted according the number...

Occlusion detection and recovery is a challenging task in robust real-time tracking of non-rigid objects. Particle filtering has proven very successful for non-linear non-Gaussian estimation problems. The paper presents method occlusion object with adaptive particle filter. Firstly, detected normalization factor. Secondly, transition function employed to from occlusion. Lastly, number changed according state. Experimental results show the presented can detect recover it quickly.

Deep learning models struggle to effectively capture data features and make accurate predictions because of the strong non-linear characteristics arbitrage data. Therefore, fully exploit model performance, researchers have focused on network structure hyperparameter selection using various swarm intelligence algorithms for optimization. Sparrow Search Algorithm (SSA), a classic heuristic method that simulates sparrows' foraging anti-predatory behavior, has demonstrated excellent performance...

It is a key issue for mobile robot navigation to have the ability of accurate and reliable dead reckoning. Aimed at this issue, reckoning in complex terrain analyzed by rigid-body kinematic constraints robot. At same time, model obtained using multiple proprioceptive sensors' information from odometry, fiber optic gyro, tilt sensor, et al. A method integrated with wheel-ground contact angle suggested estimate relative motion trajectory Experimental results simulation real on different...

In the Internet of Things (IoT) environment, intelligent devices collect and share large-scale sensitive personal data for a wide range application. However, power storage computing IoT is limited, so mass perceived will be encrypted transmitted to cloud platform-interconnected devices. Therefore, concern how save encryption/decryption cost preserve privacy in environment an issue that deserves research. To mitigate these issues, offline/online attribute-based encryption scheme supports...

Aimed at the inherent deficiency in particle filter, it is important for choice mechanism of proposal distribution filter. Combined with up-to-date research and application, key mechanisms current study are respectively summarized from aspect direct mechanism, other filter method, adaptive mechanism. At same time, simulations based on single object tracking implemented to estimate performance different So, accuracy above analyses verified.

For the rapid increase in number of optical line terminals (OLTs) and network units (ONUs) connected to control center software defined access (SDOAN) environment, security problems caused by communication between devices high cost introduction schemes, we propose a lightweight identity two-way authentication scheme (LTWA) based on cryptographically generated address (CGA) algorithm combined with hash (HGA) algorithm. The introduces CGA HGA without third party participation, so as complete...

Automatic segmentation of coal crack in CT images is great significance for the establishment digital cores. In addition, this field remains challenging due to some properties images: high noise, small targets, unbalanced positive and negative samples, complex, diverse backgrounds. paper, a method proposed dataset established. Based on semantic model DeepLabV3+ deep learning, OS backbone has been modified 8, ASPP module rate also modified. A new loss function defined by combining CE Dice...

Dynamic obstacle detection in unknown environments during mapping is a very essential problem for mobile robots. obstacles directly affect the precision of robot map building. An approach to detecting dynamic using 2D laser radar real-time proposed this paper. After filtering out noisy data, sensor readings are mapped into world coordinate system build grid and three consecutive maps maintained. By comparing state same cell considering eight-neighbor cell, static identified. then identified...

Robust position tracking is a challengeable issue for mobile robot in presence of faults. In the paper, an adaptive evolutionary particle filter designed to achieve robust wheeled when subjected faults such as sensor and wheel slippage. Firstly, kinematics models robots measurement laser range finder are derived, five kinds residual features extracted detected according features. Secondly, localization, which includes two key steps: (1) adapting proposal distribution features, (2) operators,...

Aimed at the deficiency of resampling algorithm in PF, diversity measures ESS (effective sample size) and PDF (population factor) are evaluated respectively. Combined with estimation result, is used for adaptively tuning threshold. By integrating operation particle mutation after into PF using above mechanism guidance, AMPF (Adaptive Mutation PF) presented so as to assure sets. With simulation program matlab 7.0 track a single target motion from fixed visual observation points, performance...

Attribute-based encryption is an efficient and flexible fine-grained access control scheme. However, how to realize the attribute privacy concerns in policy optimize heavy computing overhead have been not adequately addressed. First, view of open-access policies formulated by data owners cloud environment linear growth bilinear pairing operations with number attributes decryption process, a verifiable outsourced attribute-based partial hidden scheme proposed, which name can be sent while...