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https://www.readbyqxmd.com/read/28545077/the-regional-hydrologic-extremes-assessment-system-a-software-framework-for-hydrologic-modeling-and-data-assimilation
#1
Konstantinos M Andreadis, Narendra Das, Dimitrios Stampoulis, Amor Ines, Joshua B Fisher, Stephanie Granger, Jessie Kawata, Eunjin Han, Ali Behrangi
The Regional Hydrologic Extremes Assessment System (RHEAS) is a prototype software framework for hydrologic modeling and data assimilation that automates the deployment of water resources nowcasting and forecasting applications. A spatially-enabled database is a key component of the software that can ingest a suite of satellite and model datasets while facilitating the interfacing with Geographic Information System (GIS) applications. The datasets ingested are obtained from numerous space-borne sensors and represent multiple components of the water cycle...
2017: PloS One
https://www.readbyqxmd.com/read/28541952/synthesis-and-application-of-a-ternary-composite-of-clay-saw-dust-and-peanut-husks-in-heavy-metal-adsorption
#2
Henry H Mungondori, Sandile Mtetwa, Lilian Tichagwa, David M Katwire, Pardon Nyamukamba
The adsorption of a multi-component system of ferrous, chromium, copper, nickel and lead on single, binary and ternary composites was studied. The aim of the study was to investigate whether a ternary composite of clay, peanut husks (PH) and saw-dust (SD) exhibited a higher adsorption capacity than that of a binary system of clay and SD as well as a single component adsorbent of PH alone. The materials were used in their raw state without any chemical modifications. This was done to retain the cost effective aspect of the naturally occurring adsorbents...
May 2017: Water Science and Technology: a Journal of the International Association on Water Pollution Research
https://www.readbyqxmd.com/read/28541230/an-adaptive-particle-weighting-strategy-for-ecg-denoising-using-marginalized-particle-extended-kalman-filter-an-evaluation-in-arrhythmia-contexts
#3
Hamed Danandeh Hesar, Maryam Mohebbi
Model-based Bayesian frameworks have a common problem in processing electrocardiogram (ECG) signals with sudden morphological changes. This situation often happens in the case of arrhythmias where ECGs don't obey the predefined state models. To solve this problem, in this paper, a model-based Bayesian denoising framework is proposed using marginalized particle-extended Kalman filter (MP-EKF), Variational Mode Decomposition (VMD) and a novel fuzzy-based adaptive particle weighting strategy. This strategy helps MP-EKF to perform well even when the morphology of signal does not comply with the predefined dynamic model...
May 19, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28541224/protein-protein-interaction-interface-residue-pair-prediction-based-on-deep-learning-architecture
#4
Zhenni Zhao, Xinqi Gong
MOTIVATION: Proteins usually fulfill their biological functions by interacting with other proteins. Although some methods have been developed to predict the binding sites of a monomer protein, these are not sufficient for prediction of the interaction between two monomer proteins. The correct prediction of interface residue pairs from two monomer proteins is still an open question and has great significance for practical experimental applications in the life sciences. We hope to build a method for the prediction of interface residue pairs that is suitable for those applications...
May 19, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28540950/multi-level-quantum-mechanics-theories-and-molecular-mechanics-study-of-the-double-inversion-mechanism-of-the-f-ch3i-reaction-in-aqueous-solution
#5
Peng Liu, Jingxue Zhang, Dunyou Wang
A double-inversion mechanism of the F(-) + CH3I reaction was discovered in aqueous solution using combined multi-level quantum mechanics theories and molecular mechanics. The stationary points along the reaction path show very different structures to the ones in the gas phase due to the interactions between the solvent and solute, especially strong hydrogen bonds. An intermediate complex, a minimum on the potential of mean force, was found to serve as a connecting-link between the abstraction-induced inversion transition state and the Walden-inversion transition state...
May 25, 2017: Physical Chemistry Chemical Physics: PCCP
https://www.readbyqxmd.com/read/28531796/spatially-explicit-modeling-of-multi-scale-drivers-of-aboveground-forest-biomass-and-water-yield-in-watersheds-of-the-southeastern-united-states
#6
Mukhtar Ahmed Ajaz Ahmed, Amr Abd-Elrahman, Francisco J Escobedo, Wendell P Cropper, Timothy A Martin, Nilesh Timilsina
Understanding ecosystem processes and the influence of regional scale drivers can provide useful information for managing forest ecosystems. Examining more local scale drivers of forest biomass and water yield can also provide insights for identifying and better understanding the effects of climate change and management on forests. We used diverse multi-scale datasets, functional models and Geographically Weighted Regression (GWR) to model ecosystem processes at the watershed scale and to interpret the influence of ecological drivers across the Southeastern United States (SE US)...
May 19, 2017: Journal of Environmental Management
https://www.readbyqxmd.com/read/28529487/cardiac-baroreflex-variability-and-resetting-during-sustained-mild-effort
#7
Mair Zamir, Mark B Badrov, T Dylan Olver, J Kevin Shoemaker
This exploratory study assessed the pattern of closed-loop baroreflex resetting using multi-logistic-curve analysis. Operating point gain and ranges of RR-interval (RRI) and systolic blood pressure (SBP) are derived to examine how these relate to sympathetic activation. Sustained low-intensity isometric handgrip exercise, with a period of post-exercise circulatory occlusion (PECO), provided a model to study baroreflex resetting because the progression toward fatigue at constant tension induces a continuous increase in volitional contribution to neuro-cardiovascular control...
2017: Frontiers in Physiology
https://www.readbyqxmd.com/read/28528948/multi-functional-activities-of-citrus-flavonoid-narirutin-in-alzheimer-s-disease-therapeutics-an-integrated-screening-approach-and-in-vitro-validation
#8
Sandipan Chakraborty, Soumalee Basu
Alzheimer's disease (AD) is a complex disorder and the disease mechanism is yet to be properly characterized. Over the years, "amyloid cascade" emerges as principal pathogenic event in AD. β-Secretase 1 (BACE1) controls the rate-limiting step in amyloid beta (Aβ) generation and Aβ rapidly aggregates to form neurotoxic amyloid fibrils. Oxidative stress is one of the principal mediators of the observed neurotoxicity of amyloid fibril. The disease pathogenesis involves induction of multiple signaling cascades and the cross-talk therein...
May 18, 2017: International Journal of Biological Macromolecules
https://www.readbyqxmd.com/read/28527877/esculetin-ameliorates-hepatic-fibrosis-in-high-fat-diet-induced-non-alcoholic-fatty-liver-disease-by-regulation-of-foxo1-mediated-pathway
#9
Anuradha Pandey, Priyank Raj, Santosh Kumar Goru, Almesh Kadakol, Vajir Malek, Nisha Sharma, Anil Bhanudas Gaikwad
BACKGROUND: Non-alcoholic fatty liver disease (NAFLD), a chronic metabolic disorder is associated with oxidative stress, inflammation and fibrotic cascades. In this study, we aimed to examine the effects of Esculetin, a well-known anti-oxidant on TGF-β1 mediated liver fibrosis and FoxO1 activity. METHODS: A non-genetic murine model for NAFLD was developed by chronic high fat diet (HFD) (58% calories from fats) feeding in Wistar rats. The plasma biochemical parameters, liver function tests, oxidative stress, and histopathological alterations were assessed...
February 4, 2017: Pharmacological Reports: PR
https://www.readbyqxmd.com/read/28526618/24-hour-urine-metabolic-differences-between-solitary-and-multiple-stone-formers-results-of-the-collaboration-on-urolithiasis-in-pediatrics-cup-working-group
#10
Theodore R Saitz, Solange Mongoue-Tchokote, Cynthia Sharadin, Dana W Giel, Sean Corbett, Larisa Kovacevic, Aaron P Bayne
INTRODUCTION: Specific factors associated with the risk of developing pediatric urinary stone disease remain unclear, especially those that may be associated with recurrent stone disease. OBJECTIVE: We compared the results of 24-h urine collections in children with a solitary stone episode to those with multiple stone episodes to determine if there is a difference that may be associated with multiple stone formation in children. STUDY DESIGN: A multi-institutional retrospective analysis was completed to assess 24-h urinary metabolic profiles in children with urolithiasis aged 2-18 years old...
April 20, 2017: Journal of Pediatric Urology
https://www.readbyqxmd.com/read/28525674/continuous-hemoadsorption-with-a-cytokine-adsorber-during-sepsis-a-review-of-the-literature
#11
Khosrow S Houschyar, Malcolm N Pyles, Susanne Rein, Ina Nietzschmann, Dominik Duscher, Zeshaan N Maan, Kristian Weissenberg, Hubertus M Philipps, Catharina Strauss, Beate Reichelt, Frank Siemers
Sepsis is a well-recognized healthcare issue worldwide, ultimately resulting in significant mortality, morbidity and resource utilization during and after critical illness. In its most severe form, sepsis causes multi-organ dysfunction that produces a state of critical illness characterized by severe immune dysfunction and catabolism. Sepsis induces the activation of complement factor via 3 pathways and the release of inflammatory cytokines such as tumor necrosis factor alpha (TNF-α) and interleukin-1beta (IL-1β), resulting in a systemic inflammatory response...
May 19, 2017: International Journal of Artificial Organs
https://www.readbyqxmd.com/read/28524879/energy-landscape-driven-non-equilibrium-evolution-of-inherent-structure-in-disordered-material
#12
Yue Fan, Takuya Iwashita, Takeshi Egami
Complex states in glasses can be neatly expressed by the potential energy landscape (PEL). However, because PEL is highly multi-dimensional it is difficult to describe how the system moves around in PEL. Here we demonstrate that it is possible to predict the evolution of macroscopic state in a metallic glass, such as ageing and rejuvenation, through a set of simple equations describing excitations in the PEL. The key to this simplification is the realization that the step of activation from the initial state to the saddle point in PEL and the following step of relaxation to the final state are essentially decoupled...
May 19, 2017: Nature Communications
https://www.readbyqxmd.com/read/28524088/a-hybrid-generalized-hidden-markov-model-based-condition-monitoring-approach-for-rolling-bearings
#13
Jie Liu, Youmin Hu, Bo Wu, Yan Wang, Fengyun Xie
The operating condition of rolling bearings affects productivity and quality in the rotating machine process. Developing an effective rolling bearing condition monitoring approach is critical to accurately identify the operating condition. In this paper, a hybrid generalized hidden Markov model-based condition monitoring approach for rolling bearings is proposed, where interval valued features are used to efficiently recognize and classify machine states in the machine process. In the proposed method, vibration signals are decomposed into multiple modes with variational mode decomposition (VMD)...
May 18, 2017: Sensors
https://www.readbyqxmd.com/read/28522553/glioblastoma-derived-cells-in-vitro-unveil-the-spectrum-of-drug-resistance-capabilty-comparative-study-of-tumour-chemosensitivity-in-different-culture-systems
#14
Monika Witusik-Perkowska, Magdalena Zakrzewska, Beata Sikorska, Wielislaw Papierz, Dariusz J Jaskolski, Janusz Szemraj, Pawel P Liberski
Resistance to cancer drugs is a complex phenomenon which could be influenced by in vitro conditions. However, tumour-derived cell cultures are routinely used for studies related to mechanisms of drug responsiveness or the search for new therapeutic approaches. The purpose of our work was to identify the potential differences in drug resistance and response to treatment of glioblastoma with the use of three in vitro models: traditional adherent culture, serum-free spheroid culture and novel adherent serum-free culture...
May 18, 2017: Bioscience Reports
https://www.readbyqxmd.com/read/28521242/a-structured-latent-model-for-ovarian-carcinoma-subtyping-from-histopathology-slides
#15
Aïcha BenTaieb, Hector Li-Chang, David Huntsman, Ghassan Hamarneh
Accurate subtyping of ovarian carcinomas is an increasingly critical and often challenging diagnostic process. This work focuses on the development of an automatic classification model for ovarian carcinoma subtyping. Specifically, we present a novel clinically inspired contextual model for histopathology image subtyping of ovarian carcinomas. A whole slide image is modelled using a collection of tissue patches extracted at multiple magnifications. An efficient and effective feature learning strategy is used for feature representation of a tissue patch...
May 9, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28516901/eeg-source-space-analysis-of-the-supervised-factor-analytic-approach-for-the-classification-of-multi-directional-arm-movement
#16
Vikram Shenoy Handiru, A P Vinod, Cuntai Guan
OBJECTIVE: In electroencephalography (EEG)-based brain-computer interface (BCI) systems for motor control tasks the conventional practice is to decode motor intentions by using scalp EEG. However, scalp EEG only reveals certain limited information about the complex tasks of movement with a higher degree of freedom. Therefore, our objective is to investigate the effectiveness of source-space EEG in extracting relevant features that discriminate arm movement in multiple directions. APPROACH: We have proposed a novel feature extraction algorithm based on supervised factor analysis that models the data from source-space EEG...
May 18, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28513470/phase-diagram-of-the-shastry-sutherland-kondo-lattice-model-with-classical-localized-spins-a-variational-calculation-study
#17
Munir Shahzad, Pinaki Sengupta
We study the Kondo lattice Shastry-Sutherland model with additional Dzyaloshinskii-Moriya~(DM) interactions, exploring the possible magnetic phases in its multi-dimensional parameter space. Treating the local moments as classical spins and using a variational ansatz, we identify the parameter ranges over which various common magnetic orderings are potentially stabilized. Our results reveal that the competing interactions result in a heightened susceptibility towards a wide range of spin configurations including longitudinal ferromagnetic and antiferromagnetic order, coplanar flux configurations and most interestingly, multiple non-coplanar configurations including a novel canted flux state as the different Hamiltonian parameters like electron density, interaction strengths and degree of frustration are varied...
May 17, 2017: Journal of Physics. Condensed Matter: An Institute of Physics Journal
https://www.readbyqxmd.com/read/28511658/global-kalman-filter-approaches-to-estimate-absolute-angles-of-lower-limb-segments
#18
Samuel L Nogueira, Stefan Lambrecht, Roberto S Inoue, Magdo Bortole, Arlindo N Montagnoli, Juan C Moreno, Eduardo Rocon, Marco H Terra, Adriano A G Siqueira, Jose L Pons
BACKGROUND: In this paper we propose the use of global Kalman filters (KFs) to estimate absolute angles of lower limb segments. Standard approaches adopt KFs to improve the performance of inertial sensors based on individual link configurations. In consequence, for a multi-body system like a lower limb exoskeleton, the inertial measurements of one link (e.g., the shank) are not taken into account in other link angle estimations (e.g., foot). Global KF approaches, on the other hand, correlate the collective contribution of all signals from lower limb segments observed in the state-space model through the filtering process...
May 16, 2017: Biomedical Engineering Online
https://www.readbyqxmd.com/read/28506677/controller-design-for-a-class-of-nonlinear-mimo-coupled-system-using-multiple-models-and-second-level-adaptation
#19
Vinay Kumar Pandey, Indrani Kar, Chitralekha Mahanta
In this paper, an adaptive control method using multiple models with second level adaptation is proposed for a class of nonlinear multi-input multi-output (MIMO) coupled systems. Multiple estimation models are used to tune the unknown parameters at the first level. The second level adaptation provides a single parameter vector for the controller. A feedback linearization technique is used to design a state feedback control. The efficacy of the designed controller is validated by conducting real time experiment on a laboratory setup of twin rotor MIMO system (TRMS)...
May 13, 2017: ISA Transactions
https://www.readbyqxmd.com/read/28503673/non-fermi-liquid-behavior-in-quantum-impurity-models-with-superconducting-channels
#20
Rok Žitko, Michele Fabrizio
We study how the non-Fermi-liquid nature of the overscreened multi-channel Kondo impurity model affects the response to a BCS pairing term that, in the absence of the impurity, opens a gap Δ. We find that the low-energy spectrum in the limit Δ → 0 actually does not correspond to the spectrum strictly at Δ = 0. In particular, in the two-channel Kondo model the Δ → 0 ground state is an orbitally degenerate spin-singlet, while it is an orbital singlet with a residual spin degeneracy at Δ = 0. In addition, there are fractionalized spin-1/2 sub-gap excitations whose energy in units of Δ tends towards a finite and universal value when Δ → 0; as if the universality of the anomalous power-law exponents that characterise the overscreened Kondo effect turned into universal energy ratios when the scale invariance is broken by Δ ≠ 0...
February 16, 2017: Physical Review. B
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