bluuebunny/crossref_metadata_2025_split huggingface dataset:
Differential Impact of Emotion on Semantic Processing of Abstract and Concrete Words: ERP and fMRI Evidence
Authors: Pauligk Sophie , Kotz Sonja A. , Kanske Philipp 
Published: October 2019

AbstractEmotional valence is known to influence word processing dependent upon concreteness. Whereas some studies point towards stronger effects of emotion on concrete words, others claim amplified emotion effects for abstract words. We investigated the interaction of emotion and concreteness by means of fMRI and EEG in a delayed lexical decision task. Behavioral data revealed a facilitating effect of high positive and negative valence on the correct processing of abstract, but not concrete words. EEG data yielded a particularly low amplitude response of the late positive component (LPC) following concrete neutral words. This presumably indicates enhanced allocation of processing resources to abstract and emotional words at late stages of word comprehension. In fMRI, interactions between concreteness and emotion were observed within the semantic processing network: the left inferior frontal gyrus (IFG) and the left middle temporal gyrus (MTG). Higher positive or negative valence appears to facilitate semantic retrieval and selection of abstract words. Surprisingly, a reversal of this effect occurred for concrete words. This points towards enhanced semantic control for emotional concrete words compared to neutral concrete words. Our findings suggest fine-tuned integration of emotional valence and concreteness. Specifically, at late processing stages, semantic control mechanisms seem to integrate emotional cues depending on the previous progress of semantic retrieval.
Tristetraprolin targets Nos2 expression in the colonic epithelium
Authors: Eshelman Melanie A. , Matthews Stephen M. , Schleicher Emily M. , Fleeman Rebecca M. , Kawasawa Yuka Imamura , Stumpo Deborah J. , Blackshear Perry J. , Koltun Walter A. , Ishmael Faoud T. , Yochum Gregory S. 
Published: October 2019

AbstractTristetraprolin (TTP), encoded by the Zfp36 gene, is a zinc-finger protein that regulates RNA stability primarily through association with 3′ untranslated regions (3′ UTRs) of target mRNAs. While TTP is expressed abundantly in the intestines, its function in intestinal epithelial cells (IECs) is unknown. Here we used a cre-lox system to remove Zfp36 in the mouse epithelium to uncover a role for TTP in IECs and to identify target genes in these cells. While TTP was largely dispensable for establishment and maintenance of the colonic epithelium, we found an expansion of the proliferative zone and an increase in goblet cell numbers in the colon crypts of Zfp36ΔIEC mice. Furthermore, through RNA-sequencing of transcripts isolated from the colons of Zfp36fl/fl and Zfp36ΔIEC mice, we found that expression of inducible nitric oxide synthase (iNos or Nos2) was elevated in TTP-knockout IECs. We demonstrate that TTP interacts with AU-rich elements in the Nos2 3′ UTR and suppresses Nos2 expression. In comparison to control Zfp36fl/fl mice, Zfp36ΔIEC mice were less susceptible to dextran sodium sulfate (DSS)-induced acute colitis. Together, these results demonstrate that TTP in IECs targets Nos2 expression and aggravates acute colitis.
Dissemination of carbapenemase-producing Enterobacteriaceae harbouring blaNDM or blaIMI in local market foods of Yangon, Myanmar
Authors: Sugawara Yo , Hagiya Hideharu , Akeda Yukihiro , Aye Mya Mya , Myo Win Hpoo Pwint , Sakamoto Noriko , Shanmugakani Rathina Kumar , Takeuchi Dan , Nishi Isao , Ueda Akiko , Htun Moh Moh , Tomono Kazunori , Hamada Shigeyuki 
Published: October 2019

AbstractThe spread of carbapenemase-producing Enterobacteriaceae (CPE) poses a serious threat to clinical practice and public health. These bacteria are present both in clinical settings and non-clinical environments. The presence of CPE in food stuffs has been reported, but sporadically so. Here, we screened for CPE in meat, seafood, and vegetable samples from local markets of Yangon, Myanmar. We obtained 27 CPE isolates from 93 food samples and identified 13 as Escherichia coli, six as Klebsiella pneumoniae, seven as Enterobacter cloacae complex, and one as Serratia marcescens. All except the E. cloacae complex harboured the carbapenemase genes blaNDM-1 or blaNDM-5, while all Enterobacter isolates carried the carbapenemase gene blaIMI-1. The blaIMI-1 gene was located in putative mobile elements EcloIMEX-2, -3, or -8. Using multi-locus sequence typing, E. coli, K. pneumoniae, and E. cloacae complex isolates were classified into 10, six, and five different sequence types, respectively. Our results demonstrate that diverse organisms with various carbapenemase genes are widespread in the market foods in Yangon, highlighting the need for promoting proper food hygiene and effective measures to prevent further dissemination.
Global airborne microbial communities controlled by surrounding landscapes and wind conditions
Authors: Tignat-Perrier Romie , Dommergue Aurélien , Thollot Alban , Keuschnig Christoph , Magand Olivier , Vogel Timothy M. , Larose Catherine 
Published: October 2019

AbstractThe atmosphere is an important route for transporting and disseminating microorganisms over short and long distances. Understanding how microorganisms are distributed in the atmosphere is critical due to their role in public health, meteorology and atmospheric chemistry. In order to determine the dominant processes that structure airborne microbial communities, we investigated the diversity and abundance of both bacteria and fungi from the PM10 particle size (particulate matter of 10 micrometers or less in diameter) as well as particulate matter chemistry and local meteorological characteristics over time at nine different meteorological stations around the world. The bacterial genera Bacillus and Sphingomonas as well as the fungal species Pseudotaeniolina globaosa and Cladophialophora proteae were the most abundant taxa of the dataset, although their relative abundances varied greatly based on sampling site. Bacterial and fungal concentration was the highest at the high-altitude and semi-arid plateau of Namco (China; 3.56 × 106 ± 3.01 × 106 cells/m3) and at the high-altitude and vegetated mountain peak Storm-Peak (Colorado, USA; 8.78 × 104 ± 6.49 × 104 cells/m3), respectively. Surrounding ecosystems, especially within a 50 km perimeter of our sampling stations, were the main contributors to the composition of airborne microbial communities. Temporal stability in the composition of airborne microbial communities was mainly explained by the diversity and evenness of the surrounding landscapes and the wind direction variability over time. Airborne microbial communities appear to be the result of large inputs from nearby sources with possible low and diluted inputs from distant sources.
Influence of open‐circuit fault on electromagnetic field of high‐speed permanent magnet generator with Gramme ring windings
Authors: Qiu Hongbo , Zhao Xifang , Yang Cunxiang , Yi Ran , Wei Yanqi 
Published: October 2019

As the core of the distributed generation system, the health status of high‐speed permanent magnet generator (HSPMG) has attracted much attention. HSPMG is often used in military, rescue and other fields. When the open‐circuit fault of HSPMG stator winding occurs, it will seriously affect the operation stability and power supply reliability. In this study, a 117 kW, 60,000 rpm HSPMG is taken as an example, and a 2D finite element model is established. The accuracy of the model is verified by comparing the calculated results with the experimental data. By the field‐circuit coupling method, the magnetic field changes pre‐and post‐fault is analysed, and the mechanism of magnetic field spatial distribution changes post‐fault is revealed. In addition, the changes in eddy current loss pre‐and post‐fault are analysed. The influence of the harmonic magnetic field and the rotating magnetic field produced by negative sequence current on eddy current loss is studied, and the dominant factors effecting eddy current loss post‐fault are investigated. The study provides some useful conclusions for HSPMG fault analysis.
Fuzzy hybrid framework with dynamic weights for short‐term traffic flow prediction by mining spatio‐temporal correlations
Authors: Ma Dongfang , Sheng Bowen , Ma Xiaolong , Jin Sheng 
Published: October 2019

Forecasting short‐term traffic flows is crucial in designing intelligent transportation systems. There has been significant research on this topic; however, no single model can maintain optimality under all conditions. This study analysed the complementarity of non‐parametric regression and deep learning in terms of prediction accuracy. Then, a mixed prediction method, combining two sub‐models based on a fuzzy logic system, was constructed. First, the two sub‐models based on long‐short‐term memory) and K‐nearest neighbour were improved, by extracting more features that consider the spatial–temporal correlations of traffic flow and the influences of specific contextual factors to the traffic flow. Second, a fusion mechanism with dynamic weights was presented to optimise the mix predictor. A compensation term was added based on the deviations. Finally, the new method was tested using real data in Seattle, Washington. The results show that the proposed model predicts the flow for the next 5 min across the verification set, with a 6.42% mean absolute percentage error and 31.49 standard error. These results are more accurate and robust than those achieved with other state‐of‐the‐art models.
Improvement of safe stopping distance and accident risk coefficient based on active driver sight field on real road conditions
Authors: Gürbüz Habib , Buyruk Serhat 
Published: October 2019

In this paper, a new model based on factors of driver, vehicle and environment was developed to determine the ‘safe stopping distance’ of the vehicles, and tested on real road conditions by using equipment placed on the vehicle. The new stopping distance model has been developed based on the stopping distance formula commonly used in the literature. Then, an ‘active driver sight field’ was created considering effect of factors of driver, vehicle and environment. The safe field of view of driver, the safe escape area and safe stopping distance value of vehicle was transferred continuously during driving to the driver through the driver information screen positioned on front console in vehicle cockpit. In addition, a new approach has been developed to evaluate possible accident risks by using relationship between the safe escape area of the vehicle and the safe field of view of the driver. As a result, generalised stopping distance formula was yielded results closer to the actual road results, when expanded by using factors of driver, vehicle and environment. It was determined that obtained accident risk coefficients could be used to detection of accident risk with minor errors that especially at low speeds up to 60 km/h.
Single‐stage single‐switch high power factor driving circuit for lighting applications
Authors: Pan Shangzhi , Lam John C.W. , Jain Praveen 
Published: October 2019

Although compact fluorescent lamps (CFLs) have been in the market for a long time, many of them do not achieve the same power factor as the incandescent lamps do, which appears to be a significant problem for the utility with the current widespread use of CFLs for household lightings. A single‐stage single‐switch electronic ballast with active power factor correction is presented in this study for CFL applications. Unlike other single‐switch ballast circuits, the presented integrated dual‐boost converter circuit can produce a symmetric bipolar square‐wave voltage, thus generating a near‐pure high‐frequency sinusoidal voltage on the lamp, which is beneficial to the CFL lifetime. Moreover, its soft‐switching variant can achieve the ZVZC turn‐on and ZV turn‐off for the MOSFET to improve the conversion efficiency. Detailed operating principles and circuit analysis of the proposed circuit have been provided in this study. Simulation and experimental results on a prototype of a 15 W CFL validate the theoretical analysis and highlight the merits of the presented work.
Design and development of isolated snubber based bidirectional DC–DC converter for electric vehicle applications
Authors: Bhatt Kunalkumar , Gupta Ram Avtar , Gupta Nitin 
Published: October 2019

Particularly, in the classical dual‐active‐bridge (DAB) converter, the current difference between the source and leakage inductance of high‐frequency transformer potentially results in circulating current. This circulating current further causes the increased voltage stress, voltage overshoots, and conduction losses in the circuit. In view of this, a combination of dual‐switch‐forward (DSF) snubber and pre‐charging method assisted isolated bi‐directional DC–DC (BDC) converter is described in this study for electric vehicle application. The proposed configuration effectively diminishes the adverse impact of circulating current while reducing conduction loss, as well as switching stress. The working principle and corresponding circuit configurations are extensively discussed during both modes of operation. The control‐to‐output transfer functions have been obtained, and it has been confirmed that the system is stable for both modes of operation. The experimental prototype of 480 W for 20 kHz application has been developed using DSP TMS320F28335 to verify the practicality of the proposed converter. The experimental results assure that the voltage spike is successfully alleviated when the converter is operated with the proposed configuration. Finally, the comparative loss analysis has been carried out, which determines that the DSF snubber circuit with pre‐charging method provides a better solution compared to classical converters/techniques.
Novel DC–AC inverter based on phase‐shift shoot‐through controlled dual‐active‐bridge and high‐frequency pulse DC link
Authors: Song Zhanfei , Chen Wu 
Published: October 2019

Bidirectional isolated DC–AC inverters are widely used in industrial applications, such as grid‐connected uninterruptible power supply, renewable power energy system, electric vehicles and so on. In order to improve the conversion efficiency, realising soft switching will become the essential technology in the research of DC–AC inverters. Based on the commonly used two‐stage isolated inverter, this study proposed a novel DC–AC inverter that combines dual‐active‐bridge (DAB) converter, switched capacitor and full‐bridge inverter. Utilising the strategy of phase‐shift shoot‐through control, DAB will generate a high‐frequency pulse DC link cooperated with switched capacitor. As a result, during the shoot‐through period, when the DC link is in zero‐voltage‐stage, the full‐bridge inverter could realise zero‐voltage switching (ZVS) through discrete pulse modulation. Principles, characteristics and implementations of the proposed inverter and its control strategy are analysed in detail. A further analysis on the operation modes and ZVS constraint of DAB's secondary bridge and switched capacitor is completed. A 250 VDC to 150 VAC (peak value) 1.13 kW simulation and experimental prototype is presented to validate the ZVS of full‐bridge inverter and the analysis of DAB converter and switched capacitor.
Generic aircraft model recognition by two shape factors: in the resonance region
Authors: Aldhubaib Faisal 
Published: October 2019

The study utilises two shape factors as the radar feature set for the recognition of a mid‐sized aircraft target in the high‐frequency (HF) band. The two shape factors are the dihedral and tilt features of the aircraft parts. The determination of the two shape factors is feasible through the optimum polarisation states of the target's complex natural resonances in the HF band. The identification algorithm applies a resonance‐weighted measure to the feature set in a supervised learning approach to discriminate between two targets of the same class that slightly differ in shape. The rate of correct recognition within a sector of the target aspect exceeded 80% for receiver sensitivity above −10 dB.
Optimising energy in distributed phenomena detection for mobile WSN
Authors: Abu Safia Amany , Kamel Ibrahim , Al Aghbari Zaher 
Published: October 2019

We propose an energy‐aware distributed scheme, general phenomena detection, to detect phenomena in data gathered from mobile sensors. In the proposed algorithm, mobile sensors self‐organise themselves into groups and elect group heads (GHs) based on the location of the phenomena. To better share, the extra battery power overhead, GHs and subsequently group membership are updated periodically (every window). Each GH gathers readings from sensors within its group and processes the data to detect possible phenomena within its geographical boundaries. Then, GHs communicate with each other to discover and report global phenomena. To further reduce the energy cost, the study proposes three optimisation strategies: the first strategy, reporting by partial participation (RPP), limits the number of participating GHs in reporting the phenomena. RPP achieved a saving in the energy cost of around 50%. The second strategy, reporting by Z‐order (RZO), provides an overall short communication path between GHs by using Z‐order. RZO achieved a saving of more than 35% of the required energy. The study also proposes a lazy window update strategy that is suitable for a wireless sensor network (WSN) with slow sensor speed. The proposed solutions are validated via comprehensive experiments performed on an NS2 network simulator.
Low‐loss frequency scanning planar array with hybrid feeding structure for low‐altitude detection radar
Authors: Wang Hao , Zhang Yaodan , Wang Yan , Quan Shuanglong , Xu Dalong 
Published: October 2019

A 1 × 4 low‐loss frequency scanning planar array with hybrid feeding structure in Ku‐band has been designed. In order to improve the array efficiency, the planar array was designed by four parallel sub‐arrays and the waveguide slow‐wave line structure with electromagnetic coupled slot on narrow side was used as feed line. The results of simulation show that, except at the centre frequency, the voltage standing wave ratio of the antenna array is below 1.2 at the operation band, the range of the scanning angles is (−30.5°, 29°), the beam width of the antenna is about 5.5°–6.6°, the sidelobe is below −20 dB, and the gain is more than 30 dBi.
Improved receiver autonomous integrity monitoring algorithm
Authors: Li Meina , Hao Zihuan , Zhang Lei 
Published: October 2019

The integrity monitoring algorithm guarantees that the receiver can get the correct positioning and speed, which has very important theoretical significance and practical application value. It is one of the most important development contents of the satellite navigation system. Based on the introduction of the traditional least square residual method, this paper compares the binomial fitting time‐assisted receiver autonomous integrity monitoring (RAIM) algorithm and a grey model time‐assisted RAIM algorithm and finds that the latter can well solve the clock error accumulation problem in the binomial fitting time‐assisted RAIM algorithm. In the faulty satellite detection experiments with the same pseudo‐range error, the minimum detectable pseudo‐range error of the grey model time‐assisted RAIM algorithm is 15 m, while the binomial fitting time‐assisted RAIM algorithm is 28 m. Incidentally, the detection probability of a faulty satellite with 20 m pseudo‐range error of the binomial fitting time‐assisted RAIM algorithm is 10%, whereas the grey model time‐assisted RAIM algorithm is 81%.
Long‐time coherent accumulation algorithm based on acceleration blind estimation
Authors: Wang Zhuo , Zheng Xuehe , Chang Xiaolan 
Published: October 2019

Aiming at the limitation of the coherent accumulation gain of the air defence missile active radar seeker, which is brought by a new generation of manoeuvrable stealth targets, this study proposes a long‐time coherent accumulation algorithm based on the blind estimation of relative acceleration between missile and target, which is suitable for the pulse Doppler seeker. By extracting the relative acceleration information carried in the echo signal, the algorithm compensates the original echo signal phase, so that the compensated signal can be refocused in the frequency domain and the seeker detection capability to the large manoeuvring target can be improved. The simulation results show that the seeker sensitivity can be increased by 8 dB when the system false alarm probability is <10−7 and the intercept probability is >0.99.
Role of hydrodynamic size in colloidal and optical stability of plasmonic Copper nanoparticles
Authors: Sharma Purnima , Goyal Dinesh , Chudasama Bhupendra 
Published: October 2019

Metallic nanoparticles (NPs) exhibit interesting plasmonic characteristics that depend on their size, shape and dielectric medium. Any change in these parameters can lead to significant alternation in plasmonic behaviour of NPs. Plasmonic nanostructures are prepared by wet chemical approaches, which produce NPs with a moderate yield. Amongst plasmonic class of NPs, gold and silver are widely explored in sensors because of their strong plasmon excitation. Copper NPs (CNPs) are gaining increasing attention in plasmonic sensors because of its economic advantages over silver and gold. However, major limitations of these nanostructures are their low yield and poor colloidal stability. In this Letter, authors report scale up of CNPs yield by 100% and studied their colloidal stability in terms of changes in hydrodynamic size and its influence on surface plasmon resonance (SPR). It has been observed that SPR of CNPs is independent of their yield. A gradual decrease in SPR is observed with ageing. This can be attributed to the aggregation‐induced microstructural changes in the dispersion. CNPs irrespective of their yield are stable up to 180 days beyond which they lose their colloidal stability and plasmonic properties. Loss of colloidal and plasmonic characteristics of CNPs can be attributed to enhanced hydrodynamic size.
Update ESC-Leitlinie: Myokardiale Revaskularisation
Authors: Behm Patrick , Nührenberg Thomas , Bönner Florian , Neumann Franz-Josef 
Published: October 2019

Was ist neu
Präprozedurale, diagnostische und die Wahl der Revaskularisationsstrategie betreffende Aspekte Interventionen zur Revaskularisation sollten nur an Kliniken mit ausreichend hohen Fallzahlen bzw. ausreichend hoher Expertise erfolgen. Die Indikation zur Revaskularisation kann bei stabiler koronarer Herzkrankheit (KHK) aus prognostischen sowie symptomatischen Gründen gestellt werden. Zur Indikationsstellung ist eine Ischämie-Testung wichtig; hier stehen verschiedene nichtinvasive Techniken zur Verfügung. Ob eine perkutane Koronarintervention (PCI) oder Bypass-Operation durchgeführt werden soll, ist möglichst evidenzbasiert auch mithilfe von Risiko-Scores zu entscheiden. Wichtig ist zudem die Nephroprotektion: Laut Klasse-I-Empfehlung soll bei allen Patienten vor Intervention das Risiko für das Auftreten eines kontrastmittelinduzierten Nierenversagens abgeschätzt werden. Zudem ist eine ausreichende Hydrierung zu gewährleisten.
Intraprozedurale, die Revaskularisation selbst betreffende Neuerungen Für die Intervention ist der radiale Zugangsweg dem femoralen vorzuziehen. Der arterielle Bypass ist dem venösen überlegen. Für die intraprozedurale Beurteilung der Flussreserve in stenosierten Koronargefäßen gibt es geänderte Empfehlungen. Bezüglich der zu verwendeten Stents sind „drug-eluting stents“ (DES) der neuen Generation erste Wahl. Als Antikoagulans während der Intervention wird unfraktioniertes Heparin empfohlen.
Postprozedurale Aspekte nach erfolgter Myokardrevaskularisation Nach erfolgter Revaskularisation soll der Patient im Hinblick auf mögliche Ischämien systematisch reevaluiert werden. Zur antithrombotischen Therapie ist Clopidogrel bevorzugt mit neuen oralen Antikoagulanzien (NOAKs) zu kombinieren (statt mit Vitamin-K-Antagonisten (VKA)). Bei bestimmten Patienten kann von einer Therapie mit potenteren P2Y12-Rezeptorantagonisten auf Clopidogrel umgestellt werden.