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https://www.readbyqxmd.com/read/28231302/bioinformatic-prediction-of-g-protein-coupled-receptor-encoding-sequences-from-the-transcriptome-of-the-foreleg-including-the-haller-s-organ-of-the-cattle-tick-rhipicephalus-australis
#1
Sergio Munoz, Felix D Guerrero, Anastasia Kellogg, Andrew M Heekin, Ming-Ying Leung
The cattle tick of Australia, Rhipicephalus australis, is a vector for microbial parasites that cause serious bovine diseases. The Haller's organ, located in the tick's forelegs, is crucial for host detection and mating. To facilitate the development of new technologies for better control of this agricultural pest, we aimed to sequence and annotate the transcriptome of the R. australis forelegs and associated tissues, including the Haller's organ. As G protein-coupled receptors (GPCRs) are an important family of eukaryotic proteins studied as pharmaceutical targets in humans, we prioritized the identification and classification of the GPCRs expressed in the foreleg tissues...
2017: PloS One
https://www.readbyqxmd.com/read/28230534/knockdown-of-antiapoptotic-genes-in-breast-cancer-cells-by-sirna-loaded-into-hybrid-nanoparticles
#2
Leônidas Mello Júnior, Gabriela Rosa E Souza, Evelyn Winter, Adny Henrique Silva, Frederico Pittella, Tânia Beatriz Creczynski-Pasa
Tumorigenesis is related to an imbalance in controlling mechanisms of apoptosis. Expression of the genes BCL-2 and BCL-xL results in promotion of cell survival by inhibiting apoptosis. Thus, a novel approach to suppress antiapoptotic genes is the use of small interfering RNA (siRNA) in cancer cells. However, there are some limitations for the application of siRNA such as low bioavailability, requiring vectors as a strategy to achieve the nucleic acid transfection. In this study formulations containing CaP-siRNA-PEG-polyanion hybrid nanoparticles were developed to enhance siRNA delivery to cultured human breast cancer cells (MCF-7) in order to evaluate if the silencing of antiapoptotic genes BCL-2 and BCL-xL by siRNA would succeed in increasing cancer cells death...
February 23, 2017: Nanotechnology
https://www.readbyqxmd.com/read/28230127/theory-of-chaotic-orbital-variations-confirmed-by-cretaceous-geological-evidence
#3
Chao Ma, Stephen R Meyers, Bradley B Sageman
Variations in the Earth's orbit and spin vector are a primary control on insolation and climate; their recognition in the geological record has revolutionized our understanding of palaeoclimate dynamics, and has catalysed improvements in the accuracy and precision of the geological timescale. Yet the secular evolution of the planetary orbits beyond 50 million years ago remains highly uncertain, and the chaotic dynamical nature of the Solar System predicted by theoretical models has yet to be rigorously confirmed by well constrained (radioisotopically calibrated and anchored) geological data...
February 22, 2017: Nature
https://www.readbyqxmd.com/read/28229048/anaplasma-phagocytophilum-infection-subverts-carbohydrate-metabolic-pathways-in-the-tick-vector-ixodes-scapularis
#4
Alejandro Cabezas-Cruz, Pilar Alberdi, James J Valdés, Margarita Villar, José de la Fuente
The obligate intracellular pathogen, Anaplasma phagocytophilum, is the causative agent of human, equine, and canine granulocytic anaplasmosis and tick-borne fever (TBF) in ruminants. A. phagocytophilum has become an emerging tick-borne pathogen in the United States, Europe, Africa, and Asia, with increasing numbers of infected people and animals every year. It has been recognized that intracellular pathogens manipulate host cell metabolic pathways to increase infection and transmission in both vertebrate and invertebrate hosts...
2017: Frontiers in Cellular and Infection Microbiology
https://www.readbyqxmd.com/read/28229040/predicting-primary-progressive-aphasias-with-support-vector-machine-approaches-in-structural-mri-data
#5
Sandrine Bisenius, Karsten Mueller, Janine Diehl-Schmid, Klaus Fassbender, Timo Grimmer, Frank Jessen, Jan Kassubek, Johannes Kornhuber, Bernhard Landwehrmeyer, Albert Ludolph, Anja Schneider, Sarah Anderl-Straub, Katharina Stuke, Adrian Danek, Markus Otto, Matthias L Schroeter
Primary progressive aphasia (PPA) encompasses the three subtypes nonfluent/agrammatic variant PPA, semantic variant PPA, and the logopenic variant PPA, which are characterized by distinct patterns of language difficulties and regional brain atrophy. To validate the potential of structural magnetic resonance imaging data for early individual diagnosis, we used support vector machine classification on grey matter density maps obtained by voxel-based morphometry analysis to discriminate PPA subtypes (44 patients: 16 nonfluent/agrammatic variant PPA, 17 semantic variant PPA, 11 logopenic variant PPA) from 20 healthy controls (matched for sample size, age, and gender) in the cohort of the multi-center study of the German consortium for frontotemporal lobar degeneration...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28228595/hepatitis-c-virus-specific-t-cell-receptor-mrna-engineered-human-t-cells-impact-of-antigen-specificity-on-functional-properties
#6
Anangi Balasiddaiah, Haleh Davanian, Soo Aleman, Anna Pasetto, Lars Frelin, Matti Sällberg, Volker Lohmann, Sarene Koh, Antonio Bertoletti, Margaret Chen
Therapy with genetically modified autologous T cells has shown great promise in cancer therapy. For an efficient control of hepatitis C virus (HCV) infection, cytotoxic T cells (CTL) are pivotal but persistence of activated T cells may lead to liver toxicity. Here, anti-HCV T cell receptors (TCRs) recognising the HCV non-structural (NS) NS3 or NS5 viral peptide target were examined by mRNA transfection of human peripheral blood lymphocytes (PBL) derived from healthy donors as well as chronically infected HCV patients...
February 22, 2017: Journal of Virology
https://www.readbyqxmd.com/read/28227841/comparing-eeg-its-time-derivative-and-their-joint-use-as-features-in-a-bci-for-2-d-pointer-control
#7
Dimitrios Andreou, Riccardo Poli, Dimitrios Andreou, Riccardo Poli, Riccardo Poli, Dimitrios Andreou
Efficient and accurate classification of event related potentials is a core task in brain-computer interfaces (BCI). This is normally obtained by first extracting features from the voltage amplitudes recorded via EEG at different channels and then feeding them into a classifier. In this paper we evaluate the relative benefits of using the first order temporal derivatives of the EEG signals, not the EEG signals themselves, as inputs to the BCI: an area that has not been thoroughly examined. Specifically, we compare the classification performance of features extracted from the first derivative, with those derived from the amplitude, as well as their combination using data from a P300-based BCI mouse...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227623/hand-motion-recognition-based-on-forearm-deformation-measured-with-a-distance-sensor-array
#8
Sung-Gwi Cho, Masahiro Yoshikawa, Kohei Baba, Kazunori Ogawa, Jun Takamatsu, Tsukasa Ogasawara, Sung-Gwi Cho, Masahiro Yoshikawa, Kohei Baba, Kazunori Ogawa, Jun Takamatsu, Tsukasa Ogasawara, Sung-Gwi Cho, Jun Takamatsu, Masahiro Yoshikawa, Kazunori Ogawa, Tsukasa Ogasawara, Kohei Baba
Studies of upper limb motion analysis using surface electromyogram (sEMG) signals measured from the forearm plays an important role in various applications, such as human interfaces for controlling robotic exoskeletons, prosthetic hands, and evaluation of body functions. Though the sEMG signals have a lot of information about the activities of the muscles, the signals do not have the activities of the deep layer muscles. We focused on forearm deformation, since hand motion brings the muscles, tendons, and skeletons under the skin...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227349/automated-embolic-signal-detection-using-adaptive-gain-control-and-classification-using-anfis
#9
Praotasna Sombune, Phongphan Phienphanich, Sombat Muengtaweepongsa, Anuchit Ruamthanthong, Charturong Tantibundhit, Praotasna Sombune, Phongphan Phienphanich, Sombat Muengtaweepongsa, Anuchit Ruamthanthong, Charturong Tantibundhit, Praotasna Sombune, Charturong Tantibundhit, Phongphan Phienphanich, Sombat Muengtaweepongsa, Anuchit Ruamthanthong
This work proposes an automated system for real-time high-accuracy detection of cerebral embolic signals (ES) to couple with transcranial Doppler ultrasound (TCD) devices in diagnosing a risk of stroke. The algorithm employs Adaptive Gain Control (AGC) approach to capture suspected ESs in real-time. Then, Adaptive Wavelet Packet Transform (AWPT) and Fast Fourier Transform (FFT) are used to extract from them features most efficiently representing ES, which determined by Sequential Feature Selection technique...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227284/on-the-pleasantness-of-a-haptic-stimulation-how-different-textures-can-be-recognized-through-heart-rate-variability-nonlinear-analysis
#10
Mimma Nardelli, Alberto Greco, Matteo Bianchi, Enzo Pasquale Scilingo, Gaetano Valenza, Mimma Nardelli, Alberto Greco, Matteo Bianchi, Enzo Pasquale Scilingo, Gaetano Valenza, Gaetano Valenza, Mimma Nardelli, Alberto Greco, Matteo Bianchi
The hedonic attributes of cutaneous elicitation play a crucial role in everyday life, influencing our behavior and psychophysical state. However, the correlation between such a hedonic aspect of touch and the Autonomic Nervous System (ANS)-related physiological response, which is intimately connected to emotions, still needs to be deeply investigated. This study reports on caress-like stimuli conveyed to the forearm of 32 healthy subjects through different fabrics actuated by a haptic device, which can control both the strength (i...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227091/hybrid-bci-approach-to-control-an-artificial-tibio-femoral-joint
#11
Luis Mercado, Angel Rodriguez-Linan, Luis M Torres-Trevino, G Quiroz, Luis Mercado, Angel Rodriguez-Linan, Luis M Torres-Trevino, G Quiroz, Luis Mercado, Angel Rodriguez-Linan, Luis M Torres-Trevino, G Quiroz
Brain-Computer Interfaces (BCIs) for disabled people should allow them to use their remaining functionalities as control possibilities. BCIs connect the brain with external devices to perform the volition or intent of movement, regardless if that individual is unable to perform the task due to body impairments. In this work we fuse electromyographic (EMG) with electroencephalographic (EEG) activity in a framework called "Hybrid-BCI" (hBCI) approach to control the movement of a simulated tibio-femoral joint...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226832/detection-of-compensatory-balance-responses-using-wearable-electromyography-sensors-for-fall-risk-assessment
#12
Mina Nouredanesh, Sunil L Kukreja, James Tung, Mina Nouredanesh, Sunil L Kukreja, James Tung, Mina Nouredanesh, Sunil L Kukreja, James Tung
Loss of balance is prevalent in older adults and populations with gait and balance impairments. The present paper aims to develop a method to automatically distinguish compensatory balance responses (CBRs) from normal gait, based on activity patterns of muscles involved in maintaining balance. In this study, subjects were perturbed by lateral pushes while walking and surface electromyography (sEMG) signals were recorded from four muscles in their right leg. To extract sEMG time domain features, several filtering characteristics and segmentation approaches are examined...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226807/detection-of-control-or-idle-state-with-a-likelihood-ratio-test-in-asynchronous-ssvep-based-brain-computer-interface-systems
#13
Lenis M Merino, Tapsya Nayak, Garrett Hall, Daniel J Pack, Yufei Huang, Lenis M Merino, Tapsya Nayak, Garrett Hall, Daniel J Pack, Yufei Huang, Yufei Huang, Lenis M Merino, Garrett Hall, Daniel J Pack, Tapsya Nayak
We consider the detection of the control or idle state in an asynchronous Steady-state visually evoked potential (SSVEP)-based brain computer interface system. We propose a likelihood ratio test using Canonical Correlation Analysis (CCA) scores calculated from the EEG measurements. The test exploits the state-specific distributions of CCA scores. The algorithm was tested on offline measurements from 42 participants and the results should a significant improvement in detection error rate over the support vector machine classifier...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226637/person-specific-gesture-set-selection-for-optimised-movement-classification-from-emg-signals
#14
Adam Hartwell, Visakan Kadirkamanathan, Sean Anderson, Adam Hartwell, Visakan Kadirkamanathan, Sean Anderson, Adam Hartwell, Sean Anderson, Visakan Kadirkamanathan
Movement classification from electromyography (EMG) signals is a promising vector for improvement of human computer interaction and prosthetic control. Conventional work in this area typically makes use of expert knowledge to select a set of movements a priori and then design classifiers based around these movements. The disadvantage of this approach is that different individuals might have different sets of movements that would lead to high classification accuracy. The novel approach we take here is to instead use a data-driven diagnostic test to select a set of person-specific movements...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226615/support-vectors-machine-classification-of-surface-electromyography-for-non-invasive-naturally-controlled-hand-prostheses
#15
Karina O A Moura, Gabriela W Favieiro, Alexandre Balbinot, Karina O A Moura, Gabriela W Favieiro, Alexandre Balbinot, Karina O A Moura, Gabriela W Favieiro, Alexandre Balbinot
The scientific researches in human rehabilitation techniques have continually evolved to offer again the mobility and freedom lost to disability. Many systems managed by myoelectric signals intended to mimic the movement of the human arm still have results considered partial, which makes it subject of many researches. The use of Natural Interfaces Signal Processing methods makes possible to design systems capable of offering prosthesis in a more natural and intuitive way. This paper presents a study investigating the use of forearm surface electromyography (sEMG) signals for classification of specific movements of hand using 12 sEMG channels and support vector machine (SVM)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28225906/the-current-status-of-the-lutzomyia-longipalpis-diptera-psychodidae-phlebotominae-species-complex
#16
Nataly A Souza, Reginaldo P Brazil, Alejandra S Araki
Lutzomyia longipalpis s.l. is a complex of sibling species and is the principal vector of American visceral leishmaniasis. The present review summarises the diversity of efforts that have been undertaken to elucidate the number of unnamed species in this species complex and the phylogenetic relationships among them. A wide variety of evidence, including chemical, behavioral and molecular traits, suggests very recent speciation events and complex population structure in this group. Although significant advances have been achieved to date, differential vector capacity and the correlation between structure of parasite and vector populations have yet to be elucidated...
March 2017: Memórias do Instituto Oswaldo Cruz
https://www.readbyqxmd.com/read/28224119/vesicular-stomatitis-virus-vectored-multi-antigen-tuberculosis-vaccine-limits-bacterial-proliferation-in-mice-following-a-single-intranasal-dose
#17
Ming Zhang, Chunsheng Dong, Sidong Xiong
Tuberculosis (TB) remains a serious health problem worldwide, and an urgent need exists to improve or replace the available vaccine, Mycobacterium bovis bacillus Calmette-Guérin (BCG). Most vaccination protocols adapt two or three doses to induce long-term lasting immunity. Our previous study showed that the naked DNA encoding the triple-antigen fusion TFP846 (Rv3615c-Mtb10.4-Rv2660c) induced robust T cellular immune responses accompanying four inoculations against mycobacteria infection. However, a number of compliance issues exist in some areas lacking the appropriate medical infrastructure with multiple administrations...
2017: Frontiers in Cellular and Infection Microbiology
https://www.readbyqxmd.com/read/28223504/transcriptome-wide-microrna-and-target-dynamics-in-the-fat-body-during-the-gonadotrophic-cycle-of-aedes-aegypti
#18
Xiufeng Zhang, Emre Aksoy, Thomas Girke, Alexander S Raikhel, Fedor V Karginov
The mosquito Aedes aegypti is a major vector of numerous viral diseases, because it requires a blood meal to facilitate egg development. The fat body, a counterpart of mammalian liver and adipose tissues, is the metabolic center, playing a key role in reproduction. Therefore, understanding of regulatory networks controlling its functions is critical, and the role of microRNAs (miRNAs) in the process is largely unknown. We aimed to explore miRNA expression and potential targets in the female fat body of Ae. aegypti, as well as their changes postblood meal (PBM)...
February 21, 2017: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/28223106/diagnosis-of-major-depressive-disorder-by-combining-multimodal-information-from-heart-rate-dynamics-and-serum-proteomics-using-machine-learning-algorithm
#19
Eun Young Kim, Min Young Lee, Se Hyun Kim, Kyooseob Ha, Kwang Pyo Kim, Yong Min Ahn
OBJECTIVE: Major depressive disorder (MDD) is a systemic and multifactorial disorder that involves abnormalities in multiple biochemical pathways and the autonomic nervous system. This study applied a machine-learning method to classify MDD and control groups by incorporating data from serum proteomic analysis and heart rate variability (HRV) analysis for the identification of novel peripheral biomarkers. METHODS: The study subjects consisted of 25 drug-free female MDD patients and 25 age- and sex-matched healthy controls...
February 18, 2017: Progress in Neuro-psychopharmacology & Biological Psychiatry
https://www.readbyqxmd.com/read/28223048/vegetative-insecticidal-protein-of-bacillus-thuringiensis-blb459-and-its-efficiency-against-lepidoptera
#20
Hanen Boukedi, Saoussen Ben Khedher, Rania Hadhri, Samir Jaoua, Slim Tounsi, Lobna Abdelkefi-Mesrati
Bacillus thuringiensis strain BLB459 supernatant showed a promising activity against Lepidopteran pests with extremely damages in the larvae midgut. Investigations of the genes that encode secreted toxin demonstrated that this strain harbored a vip3-type gene named vip3(459). Based on its original nucleotide and amino acid sequences, this gene was cloned into pET-14b vector and overexpressed in Escherichia coli. The expressed protein was purified and tested against different insects and interestingly the novel toxin demonstrated a remarkable activity against the stored products pest Ephestia kuehniella and the polyphagous insects Spodoptera littoralis and Agrotis segetum...
February 18, 2017: Toxicon: Official Journal of the International Society on Toxinology
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