bluuebunny/crossref_metadata_2025_split huggingface dataset:
In vivo proton observed carbon edited (POCE) 13C magnetic resonance spectroscopy of the rat brain using a volumetric transmitter and receive‐only surface coil on the proton channel
Authors: Kumaragamage Chathura , Madularu Dan , Mathieu Axel P. , De Feyter Henk , Rajah M. Natasha , Near Jamie 
Published: May 2017

PurposeIn vivo carbon‐13 (13C) MR spectroscopy (MRS) is capable of measuring energy metabolism and neuroenergetics, noninvasively in the brain. Indirect (1H‐[13C]) MRS provides sensitivity benefits compared with direct 13C methods, and normally includes a 1H surface coil for both localization and signal reception. The aim was to develop a coil platform with homogenous
and use short conventional pulses for short echo time proton observed carbon edited (POCE) MRS.MethodsA 1H‐[13C] MRS coil platform was designed with a volumetric resonator for 1H transmit, and surface coils for 1H reception and 13C transmission. The Rx‐only 1H surface coil nullifies the requirement for a T/R switch before the 1H preamplifier; the highpass filter and preamplifier can be placed proximal to the coil, thus minimizing sensitivity losses inherent with POCE‐MRS systems described in the literature. The coil platform was evaluated with a PRESS‐POCE sequence (TE = 12.6 ms) on a rat model.ResultsThe coil provided excellent localization, uniform spin nutation, and sensitivity. 13C labeling of Glu‐H4 and Glx‐H3 peaks, and the Glx‐H2 peaks were observed approximately 13 and 21 min following the infusion of 1‐13C glucose, respectively.ConclusionA convenient and sensitive platform to study energy metabolism and neurotransmitter cycling is presented. Magn Reson Med 79:628–635, 2018. © 2017 International Society for Magnetic Resonance in Medicine.
Asynchronous control of time‐delayed switched systems with actuator saturation via anti‐windup design
Authors: He Hangfeng , Gao Xianwen , Qi Wenhai 
Published: May 2017

SummaryThis paper deals with the problem of asynchronous
control for time‐delay switched systems under actuator saturation via anti‐windup design, where asynchronous switching means the switching of the controllers has a lag to the switching of subsystems. By constructing an appropriate piecewise Lyapunov‐Krasovskii function and using local sector conditions, sufficient conditions for solving the problem are derived in the form of linear matrix inequalities. Moreover, the domain of attraction is maximized. Finally, an application example is given to demonstrate the validity of the main results.
Clinician perspectives on symptom and quality of life experiences of patients during cancer therapies: Implications for eHealth
Authors: Berry Donna L. , Nayak Manan M. , Abrahm Janet L. , Braun Ilana , Rabin Michael S. , Cooley Mary E. 
Published: May 2017

AbstractObjectiveThe purpose of this study was to explore clinician experiences with cancer symptom and quality of life (SQL) management from diagnosis throughout therapy in the ambulatory setting, plus identify preferences for a future SQL decision support system.MethodsEligible clinicians worked in ambulatory cancer care with responsibility for direct patient care. Focus groups were conducted to discuss symptom management throughout the treatment experience and features desired in a future decision support system. Each group was audio‐recorded, transcribed, de‐identified, and entered into NVivo 9 for analysis. Open and axial coding was completed, grouping common concepts into nodes; large constructs among the nodes were identified and main messages were synthesized.ResultsA total of 118 clinicians were contacted by email resulting in a final sample of 51 attending 1 of 9 focus groups. Clinicians described a standard face‐to‐face approach to assessment of SQL, before and throughout therapy. Preparing patients for expected symptoms and approaches to management included paper‐based patient education materials and referrals. Communicating with patients between visits was covered in detail, notably use of telephone and email. Future system features desired by the clinicians included an electronic, Web‐based system with real‐time, trended data, reasonable alerts, and tailored information for patients.ConclusionsCancer care specialists reported strategies to assess and manage cancer SQL in ambulatory care including patient‐reported outcome measures, contact communication modes, face‐to‐face interviews, and paper‐based patient education materials. Future system features desired by clinicians included an electronic, Web‐based system with real‐time, trended data, reasonable alerts, and tailored information for patients.
Robust nonlinear filter for nonlinear systems with multiplicative noise uncertainties, unknown external disturbances, and packet dropouts
Authors: Min Li , Yingchun Zhang , Yunhai Geng , Shuang Wang , Huayi Li 
Published: May 2017

SummaryThis study is concerned with the robust nonlinear filtering problem for nonlinear discrete‐time stochastic system with multiplicative noise uncertainties, unknown external disturbances, and packet dropouts. The focus of this paper is to design a filter with predictor–corrector structure such that the upper bound on the state estimation error variance is minimized in the presence of multiplicative noise, unknown external disturbances, and packet dropouts. Thus, a robust nonlinear filter based on the method to obtain the upper bound on variances of multiplicative noises, unknown disturbances, and packet dropouts is designed. Further stability analysis shows that the proposed filter has robustness against multiplicative noises, unknown external disturbances, and packet dropouts. Simulation results show that the proposed filter is more effective than extended Kalman filter and other robust extended Kalman filter. Copyright © 2017 John Wiley & Sons, Ltd.
Exposure enriched outcome dependent designs for longitudinal studies of gene–environment interaction
Authors: Sun Zhichao , Mukherjee Bhramar , Estes Jason P. , Vokonas Pantel S. , Park Sung Kyun 
Published: May 2017

Joint effects of genetic and environmental factors have been increasingly recognized in the development of many complex human diseases. Despite the popularity of case‐control and case‐only designs, longitudinal cohort studies that can capture time‐varying outcome and exposure information have long been recommended for gene–environment (G × E) interactions. To date, literature on sampling designs for longitudinal studies of G × E interaction is quite limited. We therefore consider designs that can prioritize a subsample of the existing cohort for retrospective genotyping on the basis of currently available outcome, exposure, and covariate data. In this work, we propose stratified sampling based on summaries of individual exposures and outcome trajectories and develop a full conditional likelihood approach for estimation that adjusts for the biased sample. We compare the performance of our proposed design and analysis with combinations of different sampling designs and estimation approaches via simulation. We observe that the full conditional likelihood provides improved estimates for the G × E interaction and joint exposure effects over uncorrected complete‐case analysis, and the exposure enriched outcome trajectory dependent design outperforms other designs in terms of estimation efficiency and power for detection of the G × E interaction. We also illustrate our design and analysis using data from the Normative Aging Study, an ongoing longitudinal cohort study initiated by the Veterans Administration in 1963. Copyright © 2017 John Wiley & Sons, Ltd.
Design of single‐span beams for SLS and ULS using semi‐continuous beam‐to‐column joints
Authors: da Costa Job Duarte , Obiala Renata , Odenbreit Christoph , Braun Matthias 
Published: May 2017

AbstractThe objective of this article is to facilitate the use of semi‐continuous joints by providing ready‐to‐use tables and charts for design, which also permit the benefits accruing from the use of semi‐continuous composite beams to be directly identified. The relevant features for the design of composite beams, such as bending moment distribution, maximum deflection and natural frequency, are derived analytically. The influence of semi‐continuous steel joints on the performance of single‐span composite beams is analysed. The article concludes with an example of the use of a new slim‐floor beam type – the composite slim‐floor beam (CoSFB). The tables and charts derived are applied in this example with the intention of demonstrating the advantages of using semi‐continuous joints in combination with composite beams. The present article extends the design of semi‐continuous steel beams presented in the previous article on this subject [1].
Application of direct tension indicators in preloaded bolted connections
Authors: Schiborr Markus , Stranghöner Natalie 
Published: May 2017

AbstractThe direct tension indicator (DTI) method is specified in EN 1090‐2 as one of the tightening procedures for preloading bolting assemblies to a specified level of preload. As Germany so far has no experience of using the DTI method, recent experimental and theoretical investigations were carried at the Institute for Metal and Lightweight Structures, University of Duisburg‐Essen, Germany, with the main focus being the loadbearing behaviour of preloaded bolting assemblies with DTIs under external axial tensile loading. Whereas tension connections employing preloaded bolting assemblies are quite common in Germany, in the UK, for example, bolted connections are preferably designed as shear connections, as far as is known. As a result of the investigations presented below, it can be summarized that, under tensile loading especially, preloaded bolting assemblies with DTIs might suffer from a severe loss of preload – something that should be considered in preloaded bolted connections in which the preload is taken into account in the design of the connections, e.g. in slip‐resistant connections, to activate the slip resistance, and in tension connections subjected to fatigue. Based on these investigations, recommendations have been formulated for preloaded bolting assemblies with DTIs under external axial tensile loading.
Kienlesberg Bridge in Ulm, Germany
Authors: Akkermann Jan , Halaczek Bartlomiej , Vieth Heinz‐Josef 
Published: May 2017

AbstractKienlesberg Bridge is the new link for trams, pedestrians and cyclists between the inner city and the science centre in the north‐west of Ulm. The bridge crosses a railway junction near the main station and a new high‐speed rail link. The geometric boundary conditions lead to unequal spans and complex alignments. Therefore, the scheme that won the design competition, which is now under construction, proposed a bridge made of steel. The superstructure was designed as a semi‐integral continuous beam with main girders of varying depth. Owing to the pedestrian and cyclists' path on one side, the orthotropic plate cross‐section is asymmetric and the main girders have varying depths. Special calculations and details were necessary for dynamic and noise control reasons. The bridge is being built using incremental launching.
Big data analytics for security and criminal investigations
Authors: Pramanik M.I. , Lau Raymond Y.K. , Yue Wei T. , Ye Yunming , Li Chunping 
Published: May 2017

Applications of various data analytics technologies to security and criminal investigation during the past three decades have demonstrated the inception, growth, and maturation of criminal analytics. We first identify five cutting‐edge data mining technologies such as link analysis, intelligent agents, text mining, neural networks, and machine learning. Then, we explore their recent applications to the criminal analytics domain, and discuss the challenges arising from these innovative applications. We also extend our study to big data analytics which provides some state‐of‐the‐art technologies to reshape criminal investigations. In this paper, we review the recent literature, and examine the potentials of big data analytics for security intelligence under a criminal analytics framework. We examine some common data sources, analytics methods, and applications related to two important aspects of social network analysis namely, structural analysis and positional analysis that lay the foundation of criminal analytics. Another contribution of this paper is that we also advocate a novel criminal analytics methodology that is underpinned by big data analytics. We discuss the merits and challenges of applying big data analytics to the criminal analytics domain. Finally, we highlight the future research directions of big data analytics enhanced criminal investigations. WIREs Data Mining Knowl Discov 2017, 7:e1208. doi: 10.1002/widm.1208This article is categorized under:

Fundamental Concepts of Data and Knowledge > Data Concepts
Fundamental Concepts of Data and Knowledge > Key Design Issues in Data Mining
Technologies > Computer Architectures for Data Mining
Using Animal Models to Study the Role of the Gut–Brain Axis in Autism
Authors: Nithianantharajah Jess , Balasuriya Gayathri K. , Franks Ashley E. , Hill-Yardin Elisa L. 
Published: May 2017

Abstract
Purpose of Review
Individuals with autism spectrum disorders (ASD) commonly also suffer from gastrointestinal (GI) dysfunction; however, few animal model studies have systematically examined both ASD and GI dysfunction. In this review, we highlight studies investigating GI dysfunction and alterations in gut microbiota in animal models of ASD with the aim of determining if routinely used microbiology and enteric neurophysiology assays could expand our understanding of the link between the two.

Recent Findings
Gut–brain axis research is expanding, and several ASD models demonstrate GI dysfunction. The integration of well-established assays for detecting GI dysfunction into standard behavioural testing batteries is needed.

Summary
Advances in understanding the role of the gut–brain axis in ASD are emerging; however, we outline standard assays for investigating gut–brain axis function in rodents to strengthen future phenotyping studies. Integrating these findings to the field of animal behaviour is one of the next major challenges in autism research.
New insights concerning homology of the oral region and ambulacral system plating of pentaradial echinoderms
Authors: Sumrall Colin D. 
Published: May 2017

AbstractUniversal elemental homology (UEH) underpins recent understanding of peristomial and ambulacral elemental homology of pentaradiate echinoderms by providing a uniform set of terminology to construct phylogenetic characters. Variation in the expression of these elements provides evidence for phylogenetic relationships. Two nonhomologous sets of plates border the peristome and are associated with two nonhomologous sets of floor plates forming the ambulacral food groove. Some edrioasteroid-grade and eocrinoid-grade echinoderms have ambulacral systems formed from oral frame plates and adradial floor plates, whereas most blastozoans and crinoids bear oral plates and abradial floor plates. These plates are expressed in a variety of ways among echinoderms, but nearly all can be reconciled with the underlying model. Arguments against UEH are methodologically flawed and confuse many terms and interpretations.
Compassion, ethics of care and legal rights
Authors: Herring Jonathan 
Published: May 2017

AbstractThis paper will explore the difficulties facing law in promoting compassion and responding to caring relationships. These include the difficulties in determining whether a person has demonstrated compassion and in enforcing any legal requirement for compassion. The paper will use the ethics-of-care literature to critique two key legal tools: human rights and the concept of best interests. These concepts are typically designed to promote individualistic abstract understandings of the self, which are problematic when used in the setting of intimate relationships. However, this paper will suggest that it might not be necessary to abandon the concepts of rights and best interests. They may be useful for setting the boundaries for a space in which appropriate care and compassion can be exercised. It will also be suggested that both rights and best interests are not immune from a relational analysis and might, with appropriate modification, be used to promote the exercise of compassionate relational care.
Formation of printable granular and colloidal chains through capillary effects and dielectrophoresis
Authors: Rozynek Zbigniew , Han Ming , Dutka Filip , Garstecki Piotr , Józefczak Arkadiusz , Luijten Erik 
Published: May 2017

AbstractOne-dimensional conductive particle assembly holds promise for a variety of practical applications, in particular for a new generation of electronic devices. However, synthesis of such chains with programmable shapes outside a liquid environment has proven difficult. Here we report a route to simply ‘pull’ flexible granular and colloidal chains out of a dispersion by combining field-directed assembly and capillary effects. These chains are automatically stabilized by liquid bridges formed between adjacent particles, without the need for continuous energy input or special particle functionalization. They can further be deposited onto any surface and form desired conductive patterns, potentially applicable to the manufacturing of simple electronic circuits. Various aspects of our route, including the role of particle size and the voltages needed, are studied in detail. Looking towards practical applications, we also present the possibility of two-dimensional writing, rapid solidification of chains and methods to scale up chain production.
Near-Infrared Heptamethine Cyanine Based Iron Oxide Nanoparticles for Tumor Targeted Multimodal Imaging and Photothermal Therapy
Authors: Lee Sejy , George Thomas Reju , Ju Moon Myeong , Ju Park Hyeong , Park In-Kyu , Lee Byeong-Il , Yeon Jeong Yong 
Published: May 2017

AbstractNear-infrared fluorescent (NIRF) imaging modality holds great promise for tumor detection and offers several advantages of bioimaging, such as high tissue penetration with less background scattering. The disadvantage of NIRF bioimaging is that it has very low spatial resolution. Thus, the combination of NIRF with magnetic resonance imaging (MRI) is a good option because MRI can provide anatomical information with a higher resolution. Heptamethine cyanine dye (MHI-148) has been reported to have tumor-targeting capability which was used here as the NIRF agent. DSPE-SPION nanoparticles were synthesized by the solvent hydration method and conjugated with MHI-148 dye to form a MRI/NIRF dual imaging probe. The size and charge of the MHI-DSPE-SPION were found to be about 84 ± 6 nm and 3.7 mV by DLS & Zeta Potential analysis. In vivo MRI of the SCC7 tumor showed an enhanced accumulation of MHI-DSPE-SPION, peaking at day 1, compared to 4 hrs with the control DSPE-SPION. An in vivo photothermal tumor reduction study was done on the SCC7 tumor of BALB/c nude mice. Tumor reduction study showed complete tumor removal after 8 days. In conclusion, MHI-DSPE-SPION can be used as a cancer theranostics material because it provides MRI-optical imaging capabilities and the photothermal therapy (PTT) effect.
Target decoupling in coupled systems resistant to random perturbation
Authors: Yu Sunkyu , Piao Xianji , Park Namkyoo 
Published: May 2017

AbstractTo suppress unwanted crosstalks between nearby optical elements, the decoupling technique for integrated systems has been desired for the target control of light flows. Although cloaking methods have enabled complete decoupling of optical elements by manipulating electromagnetic waves microscopically, it is difficult to be applied rigorously to control each unit element in coupled systems due to severe restrictions on material parameters for cloaking. Here we develop the macroscopic approach to design crosstalk-free regions in coupled optical systems. By inversely designing the eigenstate which encompasses target elements, the stable decoupling of the elements from the coupled system is achieved, being completely independent from the random alteration of the decoupled region, and at the same time, allowing coherent and scattering-free wave transport with desired spatial profiles. We also demonstrate the decoupling in disordered systems, overcoming the transport blockade from Anderson localization. Our results provide an attractive solution for “target hiding” of elements inside coupled systems.
Shortest Paths in Multiplex Networks
Authors: Ghariblou Saeed , Salehi Mostafa , Magnani Matteo , Jalili Mahdi 
Published: May 2017

AbstractThe shortest path problem is one of the most fundamental networks optimization problems. Nowadays, individuals interact in extraordinarily numerous ways through their offline and online life (e.g., co-authorship, co-workership, or retweet relation in Twitter). These interactions have two key features. First, they have a heterogeneous nature, and second, they have different strengths that are weighted based on their degree of intimacy, trustworthiness, service exchange or influence among individuals. These networks are known as multiplex networks. To our knowledge, none of the previous shortest path definitions on social interactions have properly reflected these features. In this work, we introduce a new distance measure in multiplex networks based on the concept of Pareto efficiency taking both heterogeneity and weighted nature of relations into account. We then model the problem of finding the whole set of paths as a form of multiple objective decision making and propose an exact algorithm for that. The method is evaluated on five real-world datasets to test the impact of considering weights and multiplexity in the resulting shortest paths. As an application to find the most influential nodes, we redefine the concept of betweenness centrality based on the proposed shortest paths and evaluate it on a real-world dataset from two-layer trade relation among countries between years 2000 and 2015.
Ultrasensitive terahertz metamaterial sensor based on spoof surface plasmon
Authors: Chen Xu , Fan Wenhui 
Published: May 2017

AbstractA planar terahertz metamaterial sensor consisting of a corrugated metal stripe perforated by three rectangular grooves is proposed and investigated numerically. Due to the formation of Fabry-Perot resonance of the spoof surface plasmons mode on the corrugated metal stripe, the extremely sharp resonance in transmission spectrum associated with strong local field enhancement and high quality factor can be realized and exploited for ultrasensitive sensing. Since the intense interaction between electromagnetic waves and analyte materials, the frequency sensitivity of 1.966 THz per refractive index unit and the figure of merit of 19.86 can be achieved. Meanwhile, the film thickness sensitivity of this metamaterial sensor is higher than 52.5 GHz/μm when the analyte thickness is thinner than 4 μm. More interestingly, we find that the metal thickness has a great effect on the sensor performance. These findings open up opportunities for planar metamaterial structures to be developed into practical sensors in terahertz regime.