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https://www.readbyqxmd.com/read/29776005/flexible-and-hierarchical-metal-organic-framework-composites-for-high-performance-catalysis
#1
Ning Huang, Hannah Drake, Jialuo Li, Jiangdong Pang, Ying Wang, Shuai Yuan, Qi Wang, Peiyu Cai, Junsheng Qin, Hong-Cai Zhou
The development of new types of porous composite materials is of great significance owing to their potentially improved performance over those of individual components and extensive applications in separation, energy storage, and heterogeneous catalysis. In this work, we integrated mesoporous metal-organic frameworks (MOFs) with macroporous melamine foam (MF) using a one-pot process, generating a series of MOF/MF composite materials with preserved crystallinity, hierarchical porosity, and increased stability over that of melamine foam...
May 18, 2018: Angewandte Chemie
https://www.readbyqxmd.com/read/29775855/dual-core-all-fiber-integrated-immunosensor-for-detection-of-protein-antigens
#2
Karol Wysokiński, Dawid Budnicki, Janusz Fidelus, Łukasz Szostkiewicz, Łukasz Ostrowski, Micha Murawski, Marcin Staniszewski, Magdalena Staniszewska, Marek Napierała, Tomasz Nasiłowski
An optical fiber interferometric microprobe for detection of specific proteins is presented in this paper. The microprobe is an all-fiber device, which is based on Michelson interferometer configuration, which allows for detection of protein antigens in an analyzed solution thanks to antibodies immobilized on the sensor surface. The interferometer is made of dual core fiber and has a precisely formed arm length difference, achieved by splicing a fragment of polarization maintaining fiber to one of the cores...
May 9, 2018: Biosensors & Bioelectronics
https://www.readbyqxmd.com/read/29775683/viscoelastic-modeling-of-the-fusion-of-multicellular-tumor-spheroids-in-growth-phase
#3
Guillaume Dechristé, Jérôme Fehrenbach, Elena Griseti, Valérie Lobjois, Clair Poignard
BACKGROUND: Since several decades, the experiments have highlighted the analogy of fusing cell aggregates with liquid droplets. The physical macroscopic models have been derived under incompressible assumptions. The aim of this paper is to provide a 3D model of growing spheroids, which is more relevant regarding embryo cell aggregates or tumor cell spheroids. METHODS: We extend the past approach to a compressible 3D framework in order to account for the tumor spheroid growth...
May 15, 2018: Journal of Theoretical Biology
https://www.readbyqxmd.com/read/29775680/assessing-the-effects-of-daily-commuting-in-two-patch-dengue-dynamics-a-case-study-of-cali-colombia
#4
Edwin Barrios, Sunmi Lee, Olga Vasilieva
There are many infectious diseases that can be spread by daily commuting of people and dengue fever is one of them. The absence of vaccine and irregularities in ongoing vector control programs make this disease the most frequent and persistent in many tropical and subtropical regions of the world. This paper targets to access the effects of daily commuting on dengue transmission dynamics by using a deterministic two-patch model fitted to observed data gathered in Cali, Colombia where dengue fever is highly persistent and exhibits endemo-epidemic patterns...
May 15, 2018: Journal of Theoretical Biology
https://www.readbyqxmd.com/read/29775309/relationship-between-proton-transport-and-morphology-of-perfluorosulfonic-acid-membranes-a-reactive-molecular-dynamics-approach
#5
Takuya Mabuchi, Takashi Tokumasu
A reactive molecular dynamics simulation has been performed for the characterization of the relationship between proton transport and water clustering in polymer electrolyte membranes. We have demonstrated that the anharmonic two-state empirical valence bond ( aTS-EVB) model is capable of describing efficiently excess proton transport through the Grotthuss hopping mechanism within the simplicity of the theoretical framework. In order to explore the long-time diffusion behavior in PFSA membranes with statistical certainty, simulations that are longer than 10 ns are needed...
May 18, 2018: Journal of Physical Chemistry. B
https://www.readbyqxmd.com/read/29774765/-staying-safe-a-narrative-review-of-falls-prevention-in-people-with-parkinson-s-pdsafe
#6
Sophia Hulbert, Lynn Rochester, Alice Nieuwboer, Vicki Goodwin, Carolyn Fitton, Kim Chivers-Seymour, Ann Ashburn
BACKGROUND: Parkinson's disease demonstrates a spectrum of motor and non-motor symptoms. Falling is common and disabling. Current medical management shows minimal impact to reduce falls or fall-related risk factors, such as deficits in gait, strength, and postural instability. Despite evidence supporting rehabilitation in reducing fall risk factors, the most appropriate intervention to reduce overall fall rate remains inconclusive. This article aims to 1) synthesise current evidence and conceptual models of falls rehabilitation in Parkinson's in a narrative review; and based on this evidence, 2) introduce the treatment protocol used in the falls prevention and multi-centre clinical trial "PDSAFE"...
May 18, 2018: Disability and Rehabilitation
https://www.readbyqxmd.com/read/29774742/dual-role-of-water-in-heterogeneous-catalytic-hydrolysis-of-sarin-by-zirconium-based-metal-organic-frameworks
#7
Mohammad R Momeni, Christopher J Cramer
Recent experimental studies on ZrIV-based metal-organic frameworks (MOFs) have shown the extraordinary effective-ness of these porous materials for the detoxification of phos-phorus-based chemical warfare agents (CWAs). However, pressing challenges remain with respect to characterizing these catalytic processes both at the molecular and crystalline lev-els. We here use theory to compare the reactivity of different zirconium-based MOFs for the catalytic hydrolysis of the CWA sarin, using both periodic and cluster modeling...
May 18, 2018: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/29774348/a-new-series-of-co-ni-zn-and-cd-metal-organic-architectures-driven-by-an-unsymmetrical-biphenyl-tricarboxylic-acid-hydrothermal-assembly-structural-features-and-properties
#8
Jin-Zhong Gu, Yan Cai, Zi-Yue Qian, Min Wen, Zi-Fa Shi, Dong-Yu Lv, Alexander M Kirillov
This study reports the hydrothermal synthesis of a novel series of twelve coordination compounds, namely, {[Cd(μ-Hnbtc)(H2O)4]·H2O}n (1), [Zn2(μ-Hnbtc)2(phen)2]·2H2O (2), [Zn(Hnbtc)(phen)2(H2O)]·4.5H2O (3), [Ni(Hnbtc)(phen)2(H2O)]·6H2O (4), [Zn2(μ-Hnbtc)2(2,2'-bipy)2]·2H2O (5), [Cd3(μ5-nbtc)(μ6-nbtc)(2,2'-bipy)2(H2O)]n (6), {[Zn3(μ3-nbtc)2(phen)3(H2O)2]·4H2O} (7), [Co(H2O)6][Co2(nbtc)2(μ-4,4'-bipy)(4,4'-bipy)2(H2O)6]·8H2O (8), {[Ni3(μ4-nbtc)2(μ-4,4'-bipy)2.5(μ-H2O)(H2O)3]·4H2O}n (9), {[Cd2(μ4-nbtc)(μ-OH)(2,2'-bipy)2]·H2O}n (10), [Cd2(μ4-nbtc)(μ-OH)(phen)2(H2O)]n (11), and {[Zn2(μ5-nbtc)(μ3-OH)(μ-4,4'-bipy)]·4,4'-bipy·H2O}n (12), which are derived from 3'-nitro-biphenyl-2,4,4'-tricarboxylic acid (H3nbtc) as a virtually unexplored building block...
May 18, 2018: Dalton Transactions: An International Journal of Inorganic Chemistry
https://www.readbyqxmd.com/read/29774217/effective-network-size-predicted-from-simulations-of-pathogen-outbreaks-through-social-networks-provides-a-novel-measure-of-structure-standardized-group-size
#9
Collin M McCabe, Charles L Nunn
The transmission of infectious disease through a population is often modeled assuming that interactions occur randomly in groups, with all individuals potentially interacting with all other individuals at an equal rate. However, it is well known that pairs of individuals vary in their degree of contact. Here, we propose a measure to account for such heterogeneity: effective network size (ENS), which refers to the size of a maximally complete network (i.e., unstructured, where all individuals interact with all others equally) that corresponds to the outbreak characteristics of a given heterogeneous, structured network...
2018: Frontiers in Veterinary Science
https://www.readbyqxmd.com/read/29774168/evaluating-the-potential-for-maximized-t-cell-redistribution-entropy-to-improve-abscopal-responses-to-radiotherapy
#10
Rachel Walker, Jonathan D Schoenfeld, Shari Pilon-Thomas, Jan Poleszczuk, Heiko Enderling
The potential for local radiation therapy to elicit systemic (abscopal) anti-tumor immune responses has been receiving a significant amount of attention over the last decade. We recently developed a mathematical framework designed to simulate the systemic dissemination of activated T cells among multiple metastatic sites. This framework allowed the identification of non-intuitive patterns of T cell redistribution after localized therapy, and offered suggestions as to the optimal site to irradiate in order to increase the magnitude of an immune-mediated abscopal response...
September 2017: Convergent Science Physical Oncology
https://www.readbyqxmd.com/read/29773793/dynamically-induced-cascading-failures-in-power-grids
#11
Benjamin Schäfer, Dirk Witthaut, Marc Timme, Vito Latora
Reliable functioning of infrastructure networks is essential for our modern society. Cascading failures are the cause of most large-scale network outages. Although cascading failures often exhibit dynamical transients, the modeling of cascades has so far mainly focused on the analysis of sequences of steady states. In this article, we focus on electrical transmission networks and introduce a framework that takes into account both the event-based nature of cascades and the essentials of the network dynamics...
May 17, 2018: Nature Communications
https://www.readbyqxmd.com/read/29773560/establishment-of-locally-adapted-mutations-under-divergent-selection
#12
Matteo Tomasini, Stephan Peischl
We study the establishment probabilities of locally adapted mutations using a multi-type branching process framework. We find a surprisingly simple and intuitive analytical approximation for the establishment probabilities in a symmetric two-deme model under the assumption of weak (positive) selection. This is the first analytical closed-form approximation for arbitrary migration rate to appear in the literature. We find that the establishment probability lies between the weak and the strong migration limits if we condition the origin of the mutation to the deme where it is advantageous...
May 17, 2018: Genetics
https://www.readbyqxmd.com/read/29772875/measuring-high-density-built-environment-for-public-health-research-uncertainty-with-respect-to-data-indicator-design-and-spatial-scale
#13
Guibo Sun, Chris Webster, Michael Y Ni, Xiaohu Zhang
Uncertainty with respect to built environment (BE) data collection, measure conceptualization and spatial scales is evident in urban health research, but most findings are from relatively lowdensity contexts. We selected Hong Kong, an iconic high-density city, as the study area as limited research has been conducted on uncertainty in such areas. We used geocoded home addresses (n=5732) from a large population-based cohort in Hong Kong to extract BE measures for the participants' place of residence based on an internationally recognized BE framework...
May 7, 2018: Geospatial Health
https://www.readbyqxmd.com/read/29772818/integrated-method-for-personal-thermal-comfort-assessment-and-optimization-through-users-feedback-iot-and-machine-learning-a-case-study-%C3%A2
#14
Francesco Salamone, Lorenzo Belussi, Cristian Currò, Ludovico Danza, Matteo Ghellere, Giulia Guazzi, Bruno Lenzi, Valentino Megale, Italo Meroni
Thermal comfort has become a topic issue in building performance assessment as well as energy efficiency. Three methods are mainly recognized for its assessment. Two of them based on standardized methodologies, face the problem by considering the indoor environment in steady-state conditions (PMV and PPD) and users as active subjects whose thermal perception is influenced by outdoor climatic conditions (adaptive approach). The latter method is the starting point to investigate thermal comfort from an overall perspective by considering endogenous variables besides the traditional physical and environmental ones...
May 17, 2018: Sensors
https://www.readbyqxmd.com/read/29772773/resource-optimization-techniques-and-security-levels-for-wireless-sensor-networks-based-on-the-arsy-framework
#15
Jumadi Mabe Parenreng, Akio Kitagawa
Wireless Sensor Networks (WSNs) with limited battery, central processing units (CPUs), and memory resources are a widely implemented technology for early warning detection systems. The main advantage of WSNs is their ability to be deployed in areas that are difficult to access by humans. In such areas, regular maintenance may be impossible; therefore, WSN devices must utilize their limited resources to operate for as long as possible, but longer operations require maintenance. One method of maintenance is to apply a resource adaptation policy when a system reaches a critical threshold...
May 17, 2018: Sensors
https://www.readbyqxmd.com/read/29772770/improving-uwb-based-localization-in-iot-scenarios-with-statistical-models-of-distance-error
#16
Stefania Monica, Gianluigi Ferrari
Interest in the Internet of Things (IoT) is rapidly increasing, as the number of connected devices is exponentially growing. One of the application scenarios envisaged for IoT technologies involves indoor localization and context awareness. In this paper, we focus on a localization approach that relies on a particular type of communication technology, namely Ultra Wide Band (UWB). UWB technology is an attractive choice for indoor localization, owing to its high accuracy. Since localization algorithms typically rely on estimated inter-node distances, the goal of this paper is to evaluate the improvement brought by a simple (linear) statistical model of the distance error...
May 17, 2018: Sensors
https://www.readbyqxmd.com/read/29772713/genetic-optimization-algorithm-for-metabolic-engineering-revisited
#17
Tobias B Alter, Lars M Blank, Birgitta E Ebert
To date, several independent methods and algorithms exist for exploiting constraint-based stoichiometric models to find metabolic engineering strategies that optimize microbial production performance. Optimization procedures based on metaheuristics facilitate a straightforward adaption and expansion of engineering objectives, as well as fitness functions, while being particularly suited for solving problems of high complexity. With the increasing interest in multi-scale models and a need for solving advanced engineering problems, we strive to advance genetic algorithms, which stand out due to their intuitive optimization principles and the proven usefulness in this field of research...
May 16, 2018: Metabolites
https://www.readbyqxmd.com/read/29772471/erm-for-health-care-organizations-an-economic-enterprise-risk-management-innovation-program-e-2-rm-health-care
#18
Ana Paula Beck da Silva Etges, Veronique Grenon, Joana Siqueira de Souza, Francisco José Kliemann Neto, Elaine Aparecida Felix
BACKGROUND: In recent years, health care organizations have looked to enterprise risk management (ERM) for novel systems to obtain more accurate data on which to base risk strategies. OBJECTIVE: This study proposes a conceptual ERM framework specifically designed for health care organizations. METHODS: We explore how hospitals in the United States and Brazil are structuring and implementing ERM processes within their management structure. This study incorporates interviews with 15 chief risk officers (8 from the United States and 7 from Brazil) with qualitative data analysis using NVivo (QSR International software)...
May 14, 2018: Value in Health Regional Issues
https://www.readbyqxmd.com/read/29772417/a-consistent-full-field-integrated-dic-framework-for-hr-ebsd
#19
T Vermeij, J P M Hoefnagels
A general, transparent, finite-strain Integrated Digital Image Correlation (IDIC) framework for high angular resolution EBSD (HR-EBSD) is proposed, and implemented through a rigorous derivation of the optimization scheme starting from the fundamental brightness conservation equation in combination with a clear geometric model of the Electron BackScatter Pattern (EBSP) formation. This results in a direct one-step correlation of the full field-of-view of EBSPs, which is validated here on dynamically simulated patterns...
May 5, 2018: Ultramicroscopy
https://www.readbyqxmd.com/read/29772065/isodose-feature-preserving-voxelization-ifpv-for-radiation-therapy-treatment-planning
#20
Hongcheng Liu, Lei Xing
PURPOSE: Inverse planning involves iterative optimization of a large number of parameters and is known to be a labor-intensive procedure. To reduce the scale of computation and improve characterization of isodose plan, this paper presents an isodose feature-preserving voxelization (IFPV) framework for radiation therapy applications and demonstrate an implementation of inverse planning in the IFPV domain. METHODS: A dose distribution in IFPV scheme is characterized by partitioning the voxels into subgroups according to their geometric and dosimetric values...
May 17, 2018: Medical Physics
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