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Fernando J Sialana, Peter Gulyassy, Peter Májek, Evelina Sjöstedt, Viktor Kis, André C Müller, Elena L Rudashevskaya, Jan Mulder, Keiryn L Bennett, Gert Lubec
The molecular composition of synaptic signal transduction machineries shapes synaptic neurotransmission. The repertoire of receptors, transporters and channels (RTCs) comprises major signaling events in the brain. RTCs are conventionally studied by candidate immunohistochemistry and biochemistry, which are low throughput with resolution greatly affected by available immunoreagents and membrane interference. Therefore, a comprehensive resource of synaptic brain RTCs is still lacking. In particular, studies on the detergent-soluble synaptosomal fraction, known to contain transporters and channels, are limited...
October 19, 2016: Proteomics
Christoph Gyo, Michael Boll, Dörthe Brüggmann, Doris Klingelhöfer, David Quarcoo, David A Groneberg
BACKGROUND: State-certified occupational physicians who work as civil servants in the Federal Republic of Germany are key players in the German Public Health system. They control i.e. the legal compliance in occupational health and participate in the occupational disease procedures. Despite the role model function of the German Public health system for many developing countries, this area of Public health is debated to have been hampered in the past years by a disregard concerning structural developments...
2016: Journal of Occupational Medicine and Toxicology
Guohua Tao
Accurately describing nuclear motion is crucial in electronically nonadiabatic dynamics simulations. In this work, a coherence-controlled (CC) approach is proposed based on the mapping between the classical state space and the full electronic matrix and that between the decomposed state space and different nuclear dynamics that allows nuclear motion to properly follow either Ehrenfest dynamics in the coherence domain or Born-Oppenheimer-like dynamics in the single-state domain in a consistent manner. This new method is applied to several benchmark models involving nonadiabatic transitions in two-state or three-state systems, and the obtained results are in excellent agreement with exact quantum calculations...
October 17, 2016: Journal of Physical Chemistry Letters
Craig Waitt, Nashali M Ferrara, Henk Eshuis
The performance of the random phase approximation (RPA) is tested for ther- mochemistry and geometries of transition metal chemistry using various benchmarks obtained either computationally or experimentally. Comparison is made to popular (semi-)local, meta- and hybrid density functionals as well as to second-order Møller- Plesset perturbation theory (MP2) and its spin-component-scaled derivatives. The benchmarks sets include reaction energies, barrier heights and dissociation energies of prototype bond-activation reactions, dissociation energies for a set of large transition metal complexes, bond lengths and dissociation energies of metal hydride ions, and bond lengths and angles of a set of closed-shell first-row transition metal complexes...
October 17, 2016: Journal of Chemical Theory and Computation
Marko Melander, Elvar Örn Jónsson, Jens Jørgen Mortensen, Tejs Vegge, Juan María García Lastra
Combining constrained density function theory (cDFT) with Marcus theory is an efficient and promising way to address charge transfer reactions. Here, we present a general and robust implementation of cDFT within the projector augmented wave (PAW) framework. PAW pseudopotentials offer a reliable frozen-core electron description across the whole periodic table, with good transferability, as well as facilitate the extraction of all-electron quantities. The present implementation is applicable to two different wave function representations -- atomic centred basis sets (LCAO) and the finite-difference (FD) approximation utilizing real-space grids...
October 17, 2016: Journal of Chemical Theory and Computation
Leslie Muller, Luc Fornecker, Alain Dorsselaer, Sarah Cianférani, Christine Carapito
Sample preparation, typically by in-solution or in-gel approaches, has a strong influence on the accuracy and robustness of quantitative proteomics workflows. The major benefit of in-gel procedures is their compatibility with detergents (such as SDS) for protein solubilization. However, SDS-PAGE is a time-consuming approach. Tube-gel (TG) preparation circumvents this drawback as it involves directly trapping the sample in a polyacrylamide-gel matrix without electrophoresis. We report here the first global label-free quantitative comparison between TG, stacking gel (SG), and basic liquid digestion (LD)...
October 17, 2016: Proteomics
Jaume Miranda-Rius, Eduard Lahor-Soler, Lluís Brunet-Llobet, Xavier Sabaté de la Cruz
Patients with cardiac implantable electrical devices should take special precautions when exposed to electromagnetic fields. Proximity to equipment used in clinical dentistry may cause interference. This study evaluated in vitro the risks associated with different types/makes of cardiac devices and types of dental equipment. Six electronic dental tools were tested on three implantable cardioverter defibrillators and three pacemakers made by different manufacturers. Overall, the risk of interference with the pacemakers was 37% lower than with the implantable cardioverter defibrillators...
October 17, 2016: European Journal of Oral Sciences
Arpan Kundu, GiovanniMaria Piccini, Kaido Sillar, Joachim Sauer
For CO and N2 on Mg(2+) sites of the metal-organic framework CPO-27-Mg (Mg-MOF-74), ab initio calculations of Gibbs free energies of adsorption have been performed. Combined with the Bragg-Williams/Langmuir model and taking into account the experimental site availability (76.5%), we obtained adsorption isotherms in close agreement with those in experiment. The remaining deviations in the Gibbs free energy (about 1 kJ/mol) are significantly smaller than the "chemical accuracy" limit of about 4 kJ/mol. The presented approach uses (i) a DFT dispersion method (PBE+D2) to optimize the structure and to calculate anharmonic frequencies for vibrational partition functions and (ii) a "hybrid MP2:(PBE+D2)+ΔCCSD(T)" method to determine electronic energies...
October 17, 2016: Journal of the American Chemical Society
Carmen Radecki Breitkopf, Lila J Finney Rutten, Victoria Findley, Debra J Jacobson, Patrick M Wilson, Monica Albertie, Robert M Jacobson, Gerardo Colón-Otero
Human papillomavirus (HPV) vaccines offer primary prevention of cervical cancer and protection against other HPV-associated cancers. HPV vaccine coverage in the United States (U.S.) remains low, particularly among older adolescents/young adults, and the uninsured. We assessed awareness and knowledge of HPV disease, HPV-related cancers, and HPV vaccines among working, uninsured adults. Data from the 2014 Health Information National Trends Survey (HINTS 4, Cycle 4) were used as a benchmark. Patients were surveyed in late 2014 at the Volunteers in Medicine free clinic in Duval County, Florida...
October 17, 2016: Cancer Medicine
Enamul Kabir, Siuly, Yanchun Zhang
Reliable analysis of electroencephalogram (EEG) signals is crucial that could lead the way to correct diagnostic and therapeutic methods for the treatment of patients with neurological abnormalities, especially epilepsy. This paper presents a novel analysis system for detecting epileptic seizure from EEG signals, which uses statistical features based on optimum allocation technique (OAT) with logistic model trees (LMT). The analysis involves applying the OAT to select representative EEG signals that reflect the entire database...
June 2016: Brain Informatics
Miaolin Fan, Chun-An Chou
Feature selection plays a key role in multi-voxel pattern analysis because functional magnetic resonance imaging data are typically noisy, sparse, and high-dimensional. Although the conventional evaluation criterion is the classification accuracy, selecting a stable feature set that is not sensitive to the variance in dataset may provide more scientific insights. In this study, we aim to investigate the stability of feature selection methods and test the stability-based feature selection scheme on two benchmark datasets...
September 2016: Brain Informatics
Alexandra Scharf, Shannon P Holmes, Merrilee Thoresen, Jennifer Mumaw, Alaina Stumpf, John Peroni
Ultrasound-guided intralesional injection of mesenchymal stem cells (MSCs) is held as the benchmark for cell delivery in tendonitis. The primary objective of this study was to investigate the immediate cell distribution following intralesional injection of MSCs. Unilateral superficial digital flexor tendon (SDFT) lesions were created in the forelimb of six horses and injected with 10 × 10(6) MSCs labeled with superparamagnetic iron oxide nanoparticles (SPIOs) under ultrasound guidance. Assays were performed to confirm that there were no significant changes in cell viability, proliferation, migration, or trilineage differentiation due to the presence of SPIOs...
2016: Stem Cells International
Christine C Johnson, Grant H Garcia, Joseph N Liu, Jeffrey G Stepan, Ronak M Patel, Joshua S Dines
BACKGROUND: The quality of medical information on the Internet has come under scrutiny. This study investigates the quality, accuracy, and readability of online information regarding ulnar collateral ligament (UCL) injuries. METHODS: Three search terms ("elbow ulnar collateral ligament injury," "tommy john injury," and "pitcher's elbow") were entered into 3 Internet search engines. Three independent reviewers evaluated the content and accuracy of the information with a set of predetermined scoring criteria...
October 10, 2016: Journal of Shoulder and Elbow Surgery
Mahsa Akhbari, Mohammad B Shamsollahi, Omid Sayadi, Antonis A Armoundas, Christian Jutten
In this paper, we propose a novel method for extracting fiducial points (FPs) of electrocardiogram (ECG) signals. We propose the use of multi hidden Markov model (MultiHMM) as opposed to the traditional use of Classic HMM. In the MultiHMM method, each segment of an ECG beat is represented by a separate ergodic continuous density HMM. Each HMM has different state number and is trained separately. In the test step, the log-likelihood of two consecutive HMMs is compared and a path is estimated, which shows the correspondence of each part of the ECG signal to the HMM with the maximum log-likelihood...
September 28, 2016: Computers in Biology and Medicine
Konstantinos Nasiotis, Simon Clavagnier, Sylvain Baillet, Christopher C Pack
Magnetoencephalography (MEG) is used in clinical and fundamental studies of brain functions, primarily for the excellent temporal resolution it provides. The spatial resolution is often assumed to be poor, because of the ill-posed nature of MEG source modeling. However, the question of spatial resolution in MEG has seldom been studied in quantitative detail. Here we use the well-known retinotopic organization of the primary visual cortex (V1) as a benchmark for estimating the spatial resolution of MEG source imaging...
October 12, 2016: NeuroImage
Ruth L F Leong, June C Lo, Sam K Y Sim, Hui Zheng, Jesisca Tandi, Juan Zhou, Michael W L Chee
Although East Asia harbors the largest number of aging adults in the world, there is currently little data clarifying the longitudinal brain-cognition relationships in this group. Here, we report structural MRI and neuropsychological findings from relatively healthy Chinese older adults of the Singapore-Longitudinal Aging Brain Study cohort over 8 years of follow up (n = 111, mean age = 67.1 years, range = 56.1-83.1 years at baseline). Aging-related change in structural volume was observed, with total cerebral atrophy at -0...
October 11, 2016: NeuroImage
Virginia E M Zweigenthal, Emma Marquez, Leslie London
BACKGROUND: Public health (PH) approaches underpin the management and transformation of health systems in low- and middle-income countries. Despite the Master of Public Health (MPH) rarely being a prerequisite for health service employment in South Africa, many physicians pursue MPH qualifications. OBJECTIVES: This study identifies their motivations and career intentions and explored MPH programme strengths and gaps in under- and post-graduate PH training. DESIGN: A cross-sectional study using an online questionnaire was completed by physicians graduating with an MPH between 2000 and 2009 and those enrolled in the programme in 2010 at the University of Cape Town...
2016: Global Health Action
Ilaria Bergese, Simona Frigerio, Marco Clari, Emanuele Castagno, Antonietta De Clemente, Elena Ponticelli, Enrica Scavino, Paola Berchialla
OBJECTIVES: Return visit (RV) to the emergency department (ED) is considered a benchmarking clinical indicator for health care quality. The purpose of this study was to develop a predictive model for early readmission risk in pediatric EDs comparing the performances of 2 learning machine algorithms. METHODS: A retrospective study based on all children younger than 15 years spontaneously returning within 120 hours after discharge was conducted in an Italian university children's hospital between October 2012 and April 2013...
October 6, 2016: Pediatric Emergency Care
Qi Kang, XiaoShuang Chen, SiSi Li, MengChu Zhou
Under-sampling is a popular data preprocessing method in dealing with class imbalance problems, with the purposes of balancing datasets to achieve a high classification rate and avoiding the bias toward majority class examples. It always uses full minority data in a training dataset. However, some noisy minority examples may reduce the performance of classifiers. In this paper, a new under-sampling scheme is proposed by incorporating a noise filter before executing resampling. In order to verify the efficiency, this scheme is implemented based on four popular under-sampling methods, i...
October 12, 2016: IEEE Transactions on Cybernetics
Xiaoyang Wang, Qiang Ji
Current video event recognition research remains largely target-centered. For real-world surveillance videos, targetcentered event recognition faces great challenges due to large intra-class target variation, limited image resolution, and poor detection and tracking results. To mitigate these challenges, we introduced a context-augmented video event recognition approach. Specifically, we explicitly capture different types of contexts from three levels including image level, semantic level, and prior level. At the image level, we introduce two types of contextual features including the appearance context features and interaction context features to capture the appearance of context objects and their interactions with the target objects...
October 11, 2016: IEEE Transactions on Pattern Analysis and Machine Intelligence
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