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Lingling Li, Da Yang, Yufang Song, Yi Shi, Bin Huang, Jun Yan, Xinxin Dong
In this study, toxic effects of bifenthrin in soil on earthworms were evaluated by acute and chronic toxic endpoints combined with a set of biomarkers. Bifenthrin was moderately toxic in 72-h filter paper test and low toxic in 14-d soil test. The exposure of earthworms to bifenthrin-polluted soil for 8 weeks showed that cocoons were inhibited by high dose of bifenthrin, and larvae were stimulated by low dose but inhibited by high dose of bifenthrin. Furthermore, 28-d soil test on the responses of enzymes associated with antioxidation and detoxification in worms showed that peroxidase (POD) was stimulated by bifenthrin, superoxide dismutase (SOD) inhibited in the early period but stimulated in the later period, glutathione S- transferase (GST) inhibited in the later period, and ethoxyresorufin-O-deethylase (EROD) inhibited at day 3 but markedly stimulated at day 28 at high dose...
October 21, 2016: Chemosphere
M C Gouveia, J P Vella, F R Cafeo, F L Affonso Fonseca, M R Bacci
OBJECTIVE: Irisin is a muscle-secreted protein released into the circulation by cleavage of fibronectin type III domain containing protein 5(FNDC5). Since its discovery in 2012, it has been the subject of many researches due to its physiological role. It is believed that understanding irisin's function may be the key to comprehend many diseases and their development. The aim of this study is to perform a systematic review in order to establish whether there is an association of irisin's levels with obesity, diabetes mellitus, non-alcoholic steatohepatitis, chronic kidney disease and cancer in terms of prognosis...
October 2016: European Review for Medical and Pharmacological Sciences
Minglin Wu, Sheng Zhang, Yuhan Dong
In this article, a novel driving behavior recognition system based on a specific physical model and motion sensory data is developed to promote traffic safety. Based on the theory of rigid body kinematics, we build a specific physical model to reveal the data change rule during the vehicle moving process. In this work, we adopt a nine-axis motion sensor including a three-axis accelerometer, a three-axis gyroscope and a three-axis magnetometer, and apply a Kalman filter for noise elimination and an adaptive time window for data extraction...
October 20, 2016: Sensors
Sung-Jin Jung, Seong-Kwan Hong, Oh-Kyong Kwon
A readout integrated circuit (ROIC) using two-step fastest signal identification (FSI) is proposed to reduce the number of input channels of a data acquisition (DAQ) block with a high-channel reduction ratio. The two-step FSI enables the proposed ROIC to filter out useless input signals that arise from scattering and electrical noise without using complex and bulky circuits. In addition, an asynchronous fastest signal identifier and a self-trimmed comparator are proposed to identify the fastest signal without using a high-frequency clock and to reduce misidentification, respectively...
October 20, 2016: Sensors
Bin Jia, Tao Sun, Ming Xin
In this paper, a distributed cubature Gaussian mixture filter (DCGMF) based on an iterative diffusion strategy (DCGMF-ID) is proposed for multisensor estimation and information fusion. The uncertainties are represented as Gaussian mixtures at each sensor node. A high-degree cubature Kalman filter provides accurate estimation of each Gaussian mixture component. An iterative diffusion scheme is utilized to fuse the mean and covariance of each Gaussian component obtained from each sensor node. The DCGMF-ID extends the conventional diffusion-based fusion strategy by using multiple iterative information exchanges among neighboring sensor nodes...
October 20, 2016: Sensors
Thomas Chretiennot, David Dubuc, Katia Grenier
This paper presents a reliable microwave and microfluidic miniature sensor dedicated to the measurement of glucose concentration in aqueous solution. The device; which is integrated with microtechnologies; is made of a bandstop filter implemented in a thin film microstrip technology combined with a fluidic microchannel. Glucose aqueous solutions have been characterized for concentration ranging from 80 g/L down to 0.3 g/L and are identified with the normalized insertion loss at optimal frequency. The sensitivity of the sensor has consequently been estimated at 7...
October 19, 2016: Sensors
Reddi Kamesh, Kalipatnapu Yamuna Rani
In this paper, a novel formulation for nonlinear model predictive control (MPC) has been proposed incorporating the extended Kalman filter (EKF) control concept using a purely data-driven artificial neural network (ANN) model based on measurements for supervisory control. The proposed scheme consists of two modules focusing on online parameter estimation based on past measurements and control estimation over control horizon based on minimizing the deviation of model output predictions from set points along the prediction horizon...
October 13, 2016: IEEE Transactions on Neural Networks and Learning Systems
Hyunjin Kim, Sang-Min Choi, Sanghyun Park
When a gene shows varying levels of expression among normal people but similar levels in disease patients or shows similar levels of expression among normal people but different levels in disease patients, we can assume that the gene is associated with the disease. By utilizing this gene expression heterogeneity, we can obtain additional information that abets discovery of disease-associated genes. In this study, we used collaborative filtering to calculate the degree of gene expression heterogeneity between classes and then scored the genes on the basis of the degree of gene expression heterogeneity to find "differentially predicted" genes...
October 19, 2016: IEEE/ACM Transactions on Computational Biology and Bioinformatics
Dongrae Cho, Beomjun Min, Jongin Kim, Boreom Lee
In this study, we examined the phase locking value (PLV) for seizure prediction, particularly, in the gamma frequency band. We prepared simulation data and 65 clinical cases of seizure. In addition, various filtering algorithms including bandpass filtering, empirical mode decomposition, multivariate empirical mode decomposition and noise-assisted multivariate empirical mode decomposition (NA-MEMD) were used to decompose spectral components from the data. Moreover, in the case of clinical data, the PLVs were used to classify between interictal and preictal stages using a support vector machine...
October 19, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Zheng Dai, I G Rosen, Chuming Wang, Nancy Barnett, Susan E Luczak
Alcohol researchers/clinicians have two ways to collect subject /patient field data, standard-drink self-report and the breath analyzer, neither of which is passive or accurate because active subject participation is required. Transdermal alcohol sensors have been developed to measure transdermal alcohol concentration (TAC), but they are used primarily as abstinence monitors because converting TAC into more meaningful blood/breath alcohol concentration (BAC/BrAC) is difficult. In this paper, BAC/BrAC is estimated from TAC by first calibrating forward distributed parameter-based convolution models for ethanol transport from the blood through the skin using patient-collected drinking data for a single drinking episode and a nonlinear pharmacokinetic metabolic absorption/elimination model to estimate BAC...
October 1, 2016: Mathematical Biosciences and Engineering: MBE
Wojciech Pulawski, Michal Jamroz, Michal Kolinski, Andrzej Kolinski, Sebastian Kmiecik
The CABS coarse-grained model is a well-established tool for modeling globular proteins (predicting their structure, dynamics and interactions). Here we introduce an extension of CABS representation and force field (CABS-membrane) to the modeling of the effect of biological membrane environment on the structure of membrane proteins. We validate the CABS-membrane model in folding simulations of 10 short helical membrane proteins not using any knowledge about their structure. The simulations start from random protein conformations placed outside the membrane environment and allow for full flexibility of the modeled proteins during their spontaneous insertion into the membrane...
October 24, 2016: Journal of Chemical Information and Modeling
Hui Xia, Briony C Strachan, Sean C Gifford, Sergey S Shevkoplyas
Leukocyte reduction of donated blood products substantially reduces the risk of a number of transfusion-related complications. Current 'leukoreduction' filters operate by trapping leukocytes within specialized filtration material, while allowing desired blood components to pass through. However, the continuous release of inflammatory cytokines from the retained leukocytes, as well as the potential for platelet activation and clogging, are significant drawbacks of conventional 'dead end' filtration. To address these limitations, here we demonstrate our newly-developed 'controlled incremental filtration' (CIF) approach to perform high-throughput microfluidic removal of leukocytes from platelet-rich plasma (PRP) in a continuous flow regime...
October 24, 2016: Scientific Reports
Jinliang Liu, Hong Qian, Yi Jin, Chuping Wu, Jianhua Chen, Shuquan Yu, Xinliang Wei, Xiaofeng Jin, Jiajia Liu, Mingjian Yu
Understanding the relative importance of dispersal limitation and environmental filtering processes in structuring the beta diversities of subtropical forests in human disturbed landscapes is still limited. Here we used taxonomic (TBD) and phylogenetic (PBD), including terminal PBD (PBDt) and basal PBD (PBDb), beta diversity indices to quantify the taxonomic and phylogenetic turnovers at different depths of evolutionary history in disturbed and undisturbed subtropical forests. Multiple linear regression model and distance-based redundancy analysis were used to disentangle the relative importance of environmental and spatial variables...
October 24, 2016: Scientific Reports
Lei Chen, Baoman Wang, ShaoPeng Wang, Jing Yang, Jerry Hu, ZhiQun Xie, Yuwei Wang, Tao Huang, Yu-Dong Cai, ZhiQun Xie
Oncogenes are genes that have the potential to cause cancer. Oncogene research can provide insight into the occurrence and development of cancer, thereby helping to prevent cancer and to design effective treatments. This study proposes a network method called the oncogene prediction method based on shortest path algorithm (OPMSP) for the identification of novel oncogenes in a large protein network built using protein-protein interaction data. Novel putative genes were extracted from the shortest paths connecting any two known oncogenes...
October 21, 2016: Protein and Peptide Letters
Patricia Yuste-Checa, Sandra Brasil, Alejandra Gámez, Jarl Underhaug, Lourdes R Desviat, Magdalena Ugarte, Celia Pérez-Cerdá, Aurora Martinez, Belén Pérez
The congenital disorder of glycosylation (CDG) due to phosphomannomutase 2 deficiency (PMM2-CDG), the most common N-glycosylation disorder, is a multisystem disease for which no effective treatment is available. The recent functional characterization of disease-causing mutations described in patients with PMM2-CDG led to the idea of a therapeutic strategy involving pharmacological chaperones (PC) to rescue PMM2 loss-of-function mutations. The present work describes the high-throughput screening, by differential scanning fluorimetry, of 10,000 low molecular weight compounds from a commercial library, to search for possible PCs for the enzyme PMM2...
October 24, 2016: Human Mutation
Maureen Ritchey, Andrew M McCullough, Charan Ranganath, Andrew P Yonelinas
Acute stress has been shown to modulate memory for recently learned information, an effect attributed to the influence of stress hormones on medial temporal lobe (MTL) consolidation processes. However, little is known about which memories will be affected when stress follows encoding. One possibility is that stress interacts with encoding processes to selectively protect memories that had elicited responses in the hippocampus and amygdala, two MTL structures important for memory formation. There is limited evidence for interactions between encoding processes and consolidation effects in humans, but recent studies of consolidation in rodents have emphasized the importance of encoding "tags" for determining the impact of consolidation manipulations on memory...
October 24, 2016: Hippocampus
Uzma Jamil, M Usman Akram, Shehzad Khalid, Sarmad Abbas, Kashif Saleem
Digital dermoscopy aids dermatologists in monitoring potentially cancerous skin lesions. Melanoma is the 5th common form of skin cancer that is rare but the most dangerous. Melanoma is curable if it is detected at an early stage. Automated segmentation of cancerous lesion from normal skin is the most critical yet tricky part in computerized lesion detection and classification. The effectiveness and accuracy of lesion classification are critically dependent on the quality of lesion segmentation. In this paper, we have proposed a novel approach that can automatically preprocess the image and then segment the lesion...
2016: BioMed Research International
Jaehoon Jeong, Jooyeok Seo, Sungho Nam, Hyemi Han, Hwajeong Kim, Thomas D Anthopoulos, Donal D C Bradley, Youngkyoo Kim
Achievement of extremely high stability for inverted-type polymer:fullerene solar cells is reported, which have bulk heterojunction (BHJ) layers consisting of poly[4,8-bis(5-(2-ethylhexyl)thiophen-2-yl)benzo[1,2-b:4,5-b']dithiophene-alt-3-fluorothieno[3,4-b]thiophene-2-carboxylate] (PTB7-Th) and [6,6]-phenyl-C71-butyric acid methyl ester (PC71BM), by employing UV-cut filter (UCF) that is mounted on the front of glass substrates. The UCF can block most of UV photons below 403 nm at the expense of ≈20% reduction in the total intensity of solar light...
April 2016: Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
Zhao Ma, Zhenzhen Liu, Tianyu Jiang, Tianchao Zhang, Huateng Zhang, Lupei Du, Minyong Li
High-throughput screening (HTS) of ligand library to find new active molecules for G protein-coupled receptors is still a major interest, as well as an actual challenge. Fluorescence polarization (FP) assay portrays an essential role in HTS; however, in many cases, it was restricted by the absence of FP probes, the narrow measurement window, and low signal-to-noise (S/N) ratio. Herein, based on the modification of our previous probe 1 (QFL), we discovered an FP probe 3 (QGGFL) for α1-adrenergic receptors (α1-ARs), which has satisfactory fluorescence intensity, specific binding ability to receptors, and suitable fluorescence properties that were compatible with the filters in the FP system...
October 13, 2016: ACS Medicinal Chemistry Letters
Sergio E Galindo, Pablo Toharia, Oscar D Robles, Luis Pastor
After decades of independent morphological and functional brain research, a key point in neuroscience nowadays is to understand the combined relationships between the structure of the brain and its components and their dynamics on multiple scales, ranging from circuits of neurons at micro or mesoscale to brain regions at macroscale. With such a goal in mind, there is a vast amount of research focusing on modeling and simulating activity within neuronal structures, and these simulations generate large and complex datasets which have to be analyzed in order to gain the desired insight...
2016: Frontiers in Neuroinformatics
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