bluuebunny/crossref_metadata_2025_split huggingface dataset:
Big data analytics for large‐scale UAV‐MBN in quantum networks using efficient hybrid GKM
Authors: R Mahaveerakannan , C Suresh Gnana Dhas 
Published: November 2019

SummaryA primary important aspect of wireless network domain is known to be secured communication as the signals are emphatically available and broadcasted through the air. Quantum wireless networks are a hot topic of research in recent years that made researchers to avail new techniques in this field. Big data is one of the major aspects that support large‐scale quantum network applications. As sensor nodes have resource constraints, it is more complex when using the traditional techniques of key establishment that only used for stable communication networks. Group‐related applications are also one of the important aspects in wireless network for sending and receiving messages from multiple users. Unfortunately, maintenance of security for the group‐oriented protocols is major issue due to the frequent changes in membership. In this paper, a hybrid GKM with re‐keying procedure is proposed to obtain a secure communication for the remote system of unmanned autonomous vehicle (UAV) with mobile backbone network (MBN). Here, the group controller is selected based on the simplified hybrid energy efficient distributed (HEED) protocol and honey key encryption algorithm is used by the key management center (KMC) for generating and distribution of key for the group's controller. The secure communication is explored using the key exchange mechanism between the nodes. The joining and leaving of a node from the group are initiated by the re‐keying process. The simulation results explain the improved performance of the proposed hybrid method when compared with other existing techniques in terms of privacy level, energy, memory, and time consumption.
Scheduling data streams for low latency and high throughput on a Cray XC40 using Libfabric
Authors: Salem Farouk , Schintke Florian , Schütt Thorsten , Reinefeld Alexander 
Published: November 2019

SummaryAchieving efficient many‐to‐many communication on a given network topology is a challenging task when many data streams from different sources have to be scattered concurrently to many destinations with low variance in arrival times. In such scenarios, it is critical to saturate but not to congest the bisectional bandwidth of the network topology in order to achieve a good aggregate throughput. When there are many concurrent point‐to‐point connections, the communication pattern needs to be dynamically scheduled in a fine‐grained manner to avoid network congestion (links, switches), overload in the node's incoming links, and receive buffer overflow. Motivated by the use case of the Compressed Baryonic Matter experiment (CBM), we study the performance and variance of such communication patterns on a Cray XC40 with different routing schemes and scheduling approaches. We present a distributed Data Flow Scheduler (DFS) that reduces the variance of arrival times from all sources at least 30 times and increases the achieved aggregate bandwidth by up to 50%.
Social Transfer of Fear in Rodents
Authors: Kondrakiewicz Kacper , Rokosz‐Andraka Karolina , Nikolaev Tomasz , Górkiewicz Tomasz , Danielewski Konrad , Gruszczyńska Agata , Meyza Ksenia , Knapska Ewelina 
Published: November 2019

AbstractSocial transfer of fear is a potent tool facilitating response to danger in animals forming social groups. With many factors influencing the transfer—such as proximity of the animal receiving information to the donor, familiarity, proximity of danger, and species‐specific coping strategies—it allows studies of neuronal correlates of a variety of behavioral responses. Since both the transfer of fear and social modulation of fear responses are impaired in many neuropsychological disorders, the models described in this article could be useful in disentangling the neuronal circuitry involved in the pathogenesis of these disorders. © 2019 by John Wiley & Sons, Inc.Basic Protocol 1: Imminent threat in ratsAlternate Protocol 1: Imminent threat in miceBasic Protocol 2: Remote threat in ratsAlternate Protocol 2: Remote threat in miceBasic Protocol 3: Social modulation of fear extinction in ratsAlternate Protocol 3: Social modulation of fear extinction in mice
Comparative Investigations of Nanohardness and Impurity Distribution Profiles of Lithium Niobate Single Crystals Diffusion Doped by Copper Ions
Authors: Sugak Dmytro , Syvorotka Ihor , Yakhnevych Uliana , Buryy Oleh , Levintant‐Zayonts Neonila , Savytskyy Hrygoriy , Bonchyk Oleksandr , Ubizskii Sergii 
Published: November 2019

AbstractSpatial changes of optical and mechanical properties of doped lithium niobate (LN, LiNbO3) single crystals are investigated. The crystals are doped with copper ions by thermal diffusion at elevated temperatures. LiNbO3 crystal absorption spectra are recorded in a direction perpendicular to the direction of diffusion. The concentrations of copper ions are calculated using the Smakula–Dexter formula. To determine a relation between changes of optical and mechanical properties, the hardness profiles of the doped crystals are investigated by the nanoindentation technique. Young's modulus and hardness are specified in accordance with the Oliver–Pharr method.
Cross‐Conjugated Polycatechol Organic Cathode for Aqueous Zinc‐Ion Storage
Authors: Zhang Shuoqing , Zhao Wentao , Li Huan , Xu Qiang 
Published: November 2019

AbstractThe rapid development of aqueous zinc‐ion batteries poses a challenge for the exploration of cathode materials with high capacity and long cycle life. Organic materials are considered an appropriate choice owing to their structural flexibility and tunable surface chemistry. However, most organic cathode materials still have some shortcomings, such as low electrical conductivity, high cost, and limited cycling durability. Here, a facile synthesis of a novel organic composite cathode composed of cross‐conjugated polycatechol (PC) combined with graphene (PC/G) is reported. The PC/G cathode is used for aqueous zinc‐ion storage, wherein many hydroxy groups in the PC/G composite cathode can be converted into redox‐active carbonyl groups at the initial discharge–charge. This composite cathode can deliver a high specific capacity of 355 mAh g−1 at 0.1 C and a specific capacity of 171 mAh g−1 at 10 C. Moreover, the composite cathode can retain 74.4 % of its initial capacity after 3000 discharge–charge cycles at 2 C. This coordination route to zinc ions within the PC/G composite cathode can avoid the destruction of the cathode material during discharge–charge. This organic cathode shows great promise for reversible zinc‐ion storage, bringing aqueous zinc‐ion batteries a step closer to future practical applications.
Ultrasound‐guided fine‐needle aspiration of a rectal submucosal nodule
Authors: Wang Zoe Q. , Mani Haresh , Lee Iris H. , Webster Kathleen W. , Wang Brant G. 
Published: November 2019

AbstractAlthough endoscopic biopsy of a rectal submucosal nodule may be nondiagnostic, endoscopic ultrasound‐guided fine‐needle aspiration (EUS‐FNA) can be an important tool to make diagnosis. We report a case of a female patient who had an EUS‐FNA of a submucosal nodule after a nondiagnostic rectal biopsy. The original diagnosis was erroneously rendered as concerning for necrotic neoplasm. The correct diagnosis of Solesta‐induced foreign body reaction was made on reviewing the slides once the history of remote Solesta injection was made available. This case illustrates the pathognomonic features of Solesta‐induced rectal nodule and underscores the importance of detailed history as well as inclusion of iatrogenic diseases in the differential to prevent erroneous diagnosis and management. Potential pitfalls in cytopathological diagnosis are discussed.
Assessing species richness trends: Declines of bees and bumblebees in the Netherlands since 1945
Authors: Van Dooren Tom J. M. 
Published: November 2019

AbstractEstimating and predicting temporal trends in species richness is of general importance, but notably difficult because detection probabilities of species are imperfect and many datasets were collected in an opportunistic manner. We need to improve our capabilities to assess richness trends using datasets collected in unstandardized procedures with potential collection bias. Two methods are proposed and applied to estimate richness change, which both incorporate models for sampling effects and detection probability: (a) nonlinear species accumulation curves with an error variance model and (b) Pradel capture–recapture models. The methods are used to assess nationwide temporal trends (1945–2018) in the species richness of wild bees in the Netherlands. Previously, a decelerating decline in wild bee species richness was inferred for part of this dataset. Among the species accumulation curves, those with nonconstant changes in species richness are preferred. However, when analyzing data subsets, constant changes became selected for non‐Bombus bees (for samples in collections) and bumblebees (for spatial grid cells sampled in three periods). Smaller richness declines are predicted for non‐Bombus bees than bumblebees. However, when relative losses are calculated from confidence intervals limits, they overlap and touch zero loss. Capture–recapture analysis applied to species encounter histories infers a constant colonization rate per year and constant local species survival for bumblebees and other bees. This approach predicts a 6% reduction in non‐Bombus species richness from 1945 to 2018 and a significant 19% reduction for bumblebees. Statistical modeling to detect species richness time trends should be systematically complemented with model checking and simulations to interpret the results. Data inspection, assessing model selection bias, and comparisons of trends in data subsets were essential model checking strategies in this analysis. Opportunistic data will not satisfy the assumptions of most models and this should be kept in mind throughout.
Charger/discharger DC/DC converter with interleaved configuration for DC‐bus regulation and battery protection
Authors: Villegas Ceballos Juan Pablo , Serna‐Garcés Sergio Ignacio , González Montoya Daniel , Ramos-Paja Carlos Andrés , Bastidas‐Rodríguez Juan David 
Published: November 2019

AbstractRegulation of DC‐bus voltages is important for the stable operation of different applications, like microgrids and electric vehicles, and it is usually performed by charging/discharging (C/D) batteries. Such C/D system is formed by a power converter and a control system, and it is aimed at guaranteeing the system stability and extending the battery life. To extend the battery life, it is important to reduce the battery current ripples, which is usually performed with interleaved converters and nonlinear controllers; however, most of those controllers do not provide the design procedure nor guarantee the system stability. This paper proposes a nonlinear control strategy to regulate the voltage in a DC‐bus by C/D a battery through a two‐branch interleaved Boost converter. The proposed control strategy is formed by two sliding mode controllers (SMCs), where the first one regulates the DC‐bus voltage by acting on the first converter branch and the second SMC controls the current in the second branch. The reference of the second SMC is generated from the delayed current of the first branch, in order to coordinate the controllers and to reduce the ripples in the battery current. The paper includes a procedure to design the two SMCs as well as simulation and experimental results to validate the proposed solution and to illustrate its performance. The results prove the system stability and its dynamic performance according to the design.
Development of push moraines in deeply frozen sediment adjacent to a cold‐based glacier in the McMurdo Dry Valleys, Antarctica
Authors: Fitzsimons Sean , Howarth Jamie 
Published: November 2019

AbstractPrevious studies of push moraines have concluded that structural architecture is controlled by a combination of stress exerted by flowing ice and the rheology of the deforming sediment. However, the relationship between deformation processes and the thermal/hydrologic conditions within the sediment remains ambiguous. Using a combination of surface mapping, logging exposures and ground penetrating radar we examine the relationships between surface morphology, material properties and development of deformation structures in deeply frozen sediment that has been deformed by Joyce Glacier, a cold‐based glacier in the McMurdo Dry Valleys. The structural architecture of the push moraines is characterized by a combination of brittle and ductile deformation structures that have produced a structurally complex pattern of thrust faults, low angle listric thrusts and recumbent folds that extend 400 m beyond the glacier margin. Deformation is ductile where the ice concentration exceeds c. 65% volume and predominantly brittle where the ice concentration is less than c. 65%. The change in rheology reflects transition in behaviour from the material having a predominantly frictional character when the ice is limited to pore spaces to a non‐frictional character in which strength is primarily determined by the cohesive strength of the ice. This work shows that glaciotectonic deformation can occur in deeply frozen permafrost where there is no liquid pore water. We conclude that the presence of liquid porewater is not a necessary condition for the development of glaciotectonic deformation or for the formation of push moraines. © 2019 John Wiley & Sons, Ltd.
A face‐based monolithic approach for the incompressible magnetohydrodynamics equations
Authors: Ata Kayhan , Sahin Mehmet 
Published: November 2019

SummaryA novel numerical algorithm has been developed to solve the incompressible resistive magnetohydrodynamics equations in a fully coupled form. The numerical method is based on the face‐centered unstructured finite volume approximation, where the velocity and magnetic field vector components are defined at the center of edges/faces; meanwhile, the pressure term is defined at element centroid. In order to enforce a divergence‐free magnetic field, the gradient of a scalar Lagrange multiplier is introduced into the induction equation. A special attention will be given to satisfy the continuity equation and the Gauss' law for magnetism within each element and the summation of the equations can be exactly reduced to the domain boundary. The first modification to the original algorithm involves the evaluation of the convective fluxes over the two neighboring elements, where the discrete continuity equations are exactly satisfied. The second modification is based on the neglecting electric field term from the Lorentz force in two dimensions. The resulting large‐scale algebraic linear equations are solved in a fully coupled manner using the one‐ and two‐level restricted additive Schwarz preconditioners to avoid any time step restrictions forced by stability requirements. The spatial convergence of the algorithm is confirmed by solving the Hartmann flow, and then the algorithm is applied to the classical lid‐driven cavity and backward facing step benchmark problems in two and three dimensions. The lid‐driven cavity flow calculations at relatively high Stuart numbers indicate the perfect braking effect of the magnetic field in two dimensions.
Evaluation of image processing technique in identifying rice blast disease in field conditions based on KNN algorithm improvement by K‐means
Authors: Larijani Mohammad Reza , Asli‐Ardeh Ezzatollah Askari , Kozegar Ehsan , Loni Reyhaneh 
Published: November 2019

AbstractNowadays, rice farming is affected by various diseases that are economically significant and worthy of attention. One of these diseases is blast. Rice blast is one of the most important limiting factors in rice yield. The purpose of this study is the timely and rapid diagnosis of rice blast based on the image processing technique in field conditions. To do so, color images were prepared using image processing technique and improved KNN algorithm by K‐means was used to classify the images in Lab color space to detect disease spots on rice leaves. Squared classification was based on Euclidean distance, and the Otsu method was used to perform an automatic threshold histogram of images based on shape or to reduce the gray level in binary images. Finally, to determine the efficiency of the designed algorithm, sensitivity, specificity, and overall accuracy were examined. The classification results showed that the sensitivity and specificity of the designed algorithm were 92% and 91.7%, respectively, in the determination of the number of disease spots, and 96% and 95.65% in determining the quality of disease spots. The overall accuracy of the designed algorithm was 94%. Generally, the results obtained showed that the above method has a great potential for timely diagnosis of rice blast.
Pre–Liver Transplant Cardiac Catheterization Is Associated With Low Rate of Myocardial Infarction and Cardiac Mortality
Authors: Kutkut Issa , Rachwan Rayan Jo , Timsina Lava R. , Ghabril Marwan S. , Lacerda Marco A. , Kubal Chandrashekhar A. , Bourdillon Patrick D. , Mangus Richard S. 
Published: November 2019

Background and Aims
A study at Indiana University demonstrated a reduction in myocardial infarction (MI) incidence with increased frequency of cardiac catheterization (CATH) in liver transplant (LT) candidates. A strict protocol for performing CATH based upon predefined risk factors, rather than noninvasive testing alone, was applied to a subgroup (2009‐2010) from that study. CATH was followed by percutaneous coronary intervention (PCI) in cases of significant coronary artery disease (CAD; ≥50% stenosis). The current study applies this screening protocol to a larger cohort (2010‐2016) to assess post‐LT clinical outcomes.

Approach and Results
Among 811 LT patients, 766 underwent stress testing (94%) and 559 underwent CATH (69%), of whom 10% had CAD requiring PCI. The sensitivity of stress echocardiography in detecting significant CAD was 37%. Predictors of PCI included increasing age, male gender, and personal history of CAD (P < 0.05 for all). Compared to patients who had no CATH, patients who underwent CATH had higher mortality (P = 0.07), and the hazard rates (HR) for mortality increased with CAD severity (normal CATH, HR, 1.35; 95% confidence interval [CI], 0.79‐2.33; P = 0.298; nonobstructive CAD, HR, 1.53; 95% CI, 0.84‐2.77; P = 0.161; and significant CAD, HR, 1.96; 95% CI, 0.93‐4.15; P = 0.080). Post‐LT outcomes were compared to the 2009‐2010 subgroup from the previous study and showed similar 1‐year overall mortality (8% and 6%, P = 0.48), 1‐year MI incidence (<1% and <1%, P = 0.8), and MI deaths as a portion of all deaths (3% and 9%, P = 0.35).

Conclusions
Stress echocardiography alone is not reliable in screening LT patients for CAD. Aggressive CAD screening with CATH is associated with low rate of MI and cardiac mortality and validates the previously published protocol when extrapolated over a larger sample and longer follow‐up period.
Investigation of common insertion hand postures and directions and determination of the voluntarily maximal and preferred insertion forces in automotive assembly tasks
Authors: Lee Kyung‐Sun , Jung Myung‐Chul 
Published: November 2019

AbstractThe aim of this study was to investigate common insertion hand postures and directions (study 1) and determine the maximal and preferred insertion forces (study 2) for assembly workers. Video analyses were conducted to investigate the insertion hand posture and direction according to assembly materials. The results of the video analyses revealed that the left and right hands used five and six types of hand postures, respectively, with the maximum frequency, and this accounted for 86.7% and 81.4% of the postures, respectively. Forty male subjects participated in a psychophysical methodology test in which they were asked to perform insertion tasks by selecting the magnitudes such that the maximal acceptable forces (MAFs) and preferred forces (PFs) could be determined. The results indicated that hand posture, insertion direction, and age significantly affected MAFs. Furthermore, hand posture, insertion direction, and age significantly affected PFs. The insertion force should be considered in the task design phase, especially hand posture, insertion direction, and age.
Spatial coordinate transforms linking the allocentric hippocampal and egocentric parietal primate brain systems for memory, action in space, and navigation
Authors: Rolls Edmund T. 
Published: November 2019

AbstractA theory and model of spatial coordinate transforms in the dorsal visual system through the parietal cortex that enable an interface via posterior cingulate and related retrosplenial cortex to allocentric spatial representations in the primate hippocampus is described. First, a new approach to coordinate transform learning in the brain is proposed, in which the traditional gain modulation is complemented by temporal trace rule competitive network learning. It is shown in a computational model that the new approach works much more precisely than gain modulation alone, by enabling neurons to represent the different combinations of signal and gain modulator more accurately. This understanding may have application to many brain areas where coordinate transforms are learned. Second, a set of coordinate transforms is proposed for the dorsal visual system/parietal areas that enables a representation to be formed in allocentric spatial view coordinates. The input stimulus is merely a stimulus at a given position in retinal space, and the gain modulation signals needed are eye position, head direction, and place, all of which are present in the primate brain. Neurons that encode the bearing to a landmark are involved in the coordinate transforms. Part of the importance here is that the coordinates of the allocentric view produced in this model are the same as those of spatial view cells that respond to allocentric view recorded in the primate hippocampus and parahippocampal cortex. The result is that information from the dorsal visual system can be used to update the spatial input to the hippocampus in the appropriate allocentric coordinate frame, including providing for idiothetic update to allow for self‐motion. It is further shown how hippocampal spatial view cells could be useful for the transform from hippocampal allocentric coordinates to egocentric coordinates useful for actions in space and for navigation.