bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis and Application of Distributed Navigation Spoofers
Authors: Ma Chao , Yang Jun , Zhou Chao 
Published: November 2019

Abstract
As a typical aerospace technology application, Global Satellite Navigation System (GNSS) affects the national Positioning Navigation Timing (PNT) service. However, not all users are making good use of GNSS. In recent years, the most prominent phenomenon is the Unmanned Aerial Vehicle (UAV) “black flight”, which seriously affects the normal operation of civil aviation. To solve such problem, navigation spoofing can be used as an effective method to disrupt the flight of malicious UAVs. Currently, a centralized antenna is the most common way to transmit false navigation signals, but when the target receiver contains two receiving antennas or spatial filtering technology, this spoofing method is ineffective. Therefore, we aim at the distributed spoofers that each antenna emits a false navigation signal, and point out that this sophisticated attack will become the development trend of navigation spoofing in the future.
Aerodynamic Thermodynamic Modeling and Simulation of Turbofan Engine
Authors: Qian Renjun , Li Benwei , Song Hanqiang , Dong Qing , Wang Yonghua 
Published: November 2019

Abstract
The mathematical model of turbofan engine is established and simulation calculation is carried out in this paper. An engine component model is established by means of the gas flow path of the engine. Then, according to the common working conditions, common working equations are established and the N+1 residual method is used to solve the nonlinear equations. The general model of an engine is established based on the design point parameters, and the specific performance parameters of the intermediate state are calculated under standard atmospheric conditions. The simulation results are compared with the measured performance data of the engine, which shows that: there are errors between the calculated value of the model and the measured value of the engine. The maximum error is 2.85%, which meets the requirement of model error less than 3% in general engineering.
Performance Analysis for MIMO SWIPT Systems with Space-Time Coding
Authors: Cui Tao , Li Jun , Shen Jun , Dong Shiwei 
Published: November 2019

Abstract
Energy supply is a key factor affecting the normal operation of energy-constrained networks. Simultaneous wireless information and power transfer (SWIPT) technology can be used to obtain a stable and continuous energy source. But SWIPT need to take into account data transmission rate and energy harvesting performance, it is necessary to design a complex physical layer method to improve the energy efficiency of SWIPT system. The paper studies a multiple input multiple output (MIMO) SWIPT system based on space-time coding, the transmitter sends the information using the space-time encoder through multi-antenna transmission, the receiver uses the space-time decoder to decode the information and collect the energy. The expressions of channel capacity and energy harvesting under MIMO are given respectively. The energy harvesting optimization target equation under coding conditions is established. The simulation results show that the using of space-time coding can reduce the data transmission error rate of MIMO SWIPT system and improve the energy harvesting performance of the user terminals.
Application of Deep Convolutional Neural Network in Remote Protection of Transmission Lines
Authors: Zheng Wenjie , Li Chengqi , Yang Bo , Lv Xuebin 
Published: November 2019

Abstract
In order to alleviate the pressure of line operation and maintenance, it is necessary to use advanced image recognition methods to identify hidden line hazards. In this paper, we extract features from hidden targets and perform target recognition using deep convolutional neural network. Firstly, we collect a large number of photos with hidden dangers for transmission line. Secondly, we classify those samples according to the detection targets. Thirdly, the deep convolutional neural network model is trained and tuned by using the sample images of various detection objects. When deployed on the server, identification of hidden dangers such as cranes, tower cranes, excavators, and mountain fires reaches acceptable accuracy.
CFD Simulation Methods for Rotor Hovering Based on N-S Equation
Authors: Cheng-Long Zhou , Ming Chen , An-An Xu , Fang Wang 
Published: November 2019

Abstract
CFD simulation of the hovering condition of a single-rotor helicopter was carried out by three methods: moving reference frame (MRF), sliding mesh and overset mesh, respectively. The parameters such as velocity field, pressure field and pressure coefficient of the helicopter rotor and its surrounding flow field are obtained, and the simulation results are compared with the experimental data of wind tunnel test. The three methods are compared from the differences between the model and the grid, the accuracy of the calculation results, and the calculation convergence time. The characteristics, application and other meaningful results of each method are obtained.
Potential dependent ionic sieving through functionalized laminar MoS2 membranes
Authors: Hirunpinyopas Wisit , Prestat Eric , Iamprasertkun Pawin , Bissett Mark A , Dryfe Robert A W 
Published: November 2019

Abstract
Laminar MoS2 membranes show outstanding potential for practical applications in energy conversion/storage, sensing, and as nanofluidic devices. The re-stacking of exfoliated MoS2 creates nanocapillaries between the layers of MoS2 nanosheets. These MoS2 membranes have been shown to possess a unique combination of ionic rejection properties, high water permeation rates, and long-term solvent stability, with no significant swelling when exposed to aqueous or organic solvents. Chemical modification of MoS2 membranes has been shown to improve their ionic rejection properties, however the mechanism behind this improvement is not well understood. In this work, we elucidate the ion-sieving mechanism by the study of potential-dependent ion transport through functionalized MoS2 membranes. The ionic permeability of the MoS2 membrane is transformed by chemical functionalization with a simple naphthalene sulfonate dye (sunset yellow) and with a resultant attenuation of permeability by at least an order of magnitude, compared to the pristine MoS2 membranes and permeability reported for graphene oxide and Ti3C2T
x
(MXene) membranes. The effects of pH, solute concentration, and ionic size/charge on the ionic selectivity of the functionalized MoS2 membranes are also reported. Understanding the mechanism of ionic sieving within functionalized MoS2 membranes will enable future applications in electro-dialysis and ion exchange for water treatment technologies.
UPObase: an online database of unspecific peroxygenases
Authors: Faiza Muniba , Lan Dongming , Huang Shengfeng , Wang Yonghua 
Published: November 2019

Abstract
There are many unspecific peroxygenases (UPOs) or UPO-like extracellular enzymes secreted by fungal species. These enzymes are considered special in their ways of catalyzing a wide variety of reactions such as epoxidation, peroxygenation and electron oxidations. This enzyme family exhibits diverse functions with thousands of UPOs and UPO-like sequences. These sequences are difficult to analyze without proper management tool and therefore desperately calls for a unified platform that can aide with annotation, classification, navigation and easy sequence retrieval. This prompted us to create an online database called Unspecific Peroxygenase Database (UPObase) (upobase.bioinformaticsreview.com) which currently includes 1948 peroxygenase-encoding protein sequences mined from more than 800 available fungal genomes. It provides information such as classification and motifs about each sequence and has functions such as homology search against UPObase sequence analyses such as multiple sequence alignments and phylogenetic trees. It also provides a new sequence submission facility. The database has been made user-friendly facilitating systematic search and filters. UPObase allows users to search for the sequences by organism name, cluster ID and accession number. Notably, in our previous study, 113 UPOs were classified into five subfamilies (I, II, III, IV and V) and an undetermined group (Pog) which remain established. In this study, using 1948 UPOs in our database, we were able to further identify six novel sub-superfamilies (Pog-a, Pog-b, Pog-c, Pog-d, Pog-e and Pog-f) with signature motifs and two distinct groups in Subfamily I and III, Ia and Ib, IIIa and IIIb, respectively. With the novel UPO-like sequences and classification, UPObase may serve for researchers working in the area of enzyme engineering and related fields.
Tripal EUtils: a Tripal module to increase exchange and reuse of genome assembly metadata
Authors: Condon B , Almsaeed A , Buehler S , Childers C P , Ficklin S P , Staton M E , Poelchau M F 
Published: November 2019

AbstractData and metadata interoperability between data storage systems is a critical component of the FAIR data principles. Programmatic and consistent means of reconciling metadata models between databases promote data exchange and thus increases its access to the scientific community. This process requires (i) metadata mapping between the models and (ii) software to perform the mapping. Here, we describe our efforts to map metadata associated with genome assemblies between the National Center for Biotechnology Information (NCBI) data resources and the Chado biological database schema. We present mappings for multiple NCBI data structures and introduce a Tripal software module, Tripal EUtils, to pull metadata from NCBI into a Tripal/Chado database. We discuss potential mapping challenges and solutions and provide suggestions for future development to further increase interoperability between these platforms.Database URL: https://github.com/NAL-i5K/tripal_eutils
O10 GIANT ESOPHAGEAL POLYP PROTRUDING THROUGH THE MOUTH: A RARE CASE
Authors: Tsomidis I , Kalopitas G , Dinaki K , Germanidis G , Constantinidis J 
Published: November 2019

Abstract

Aim
Giant esophageal polyps are a relative rare and benign entity, which can lead to major complications. Our knowledge about their pathology and management originates from scattered case reports. Our aim is to report the clinical presentation and management of this rare case in order to enrich the current literature.

Background & Methods
Large pedunculated esophageal polyps are a rare entity encountered in clinical practice. The majority of these polyps are located near the upper esophageal sphincter or upper esophagus. They are slowly growing and asymptomatic. Most common clinical symptoms, associated with polyp size, include dysphagia, chest pain, regurgitation and, rarely, acute respiratory distress. Histology reveals benign submucosal tumors with fibrous and vascular components, covered by normal squamous cells, in most cases. Malignant transformation of these polyps has been infrequently described. Surgical approach, either with endoscopic resection or with open surgery, is the treatment of choice and recurrence is extremely uncommon. A review of current literature was conducted, followed by presentation of our rare case.

Results
A 50 year-old woman with clear medical history presented with a 3-month history of dysphagia and endoscopy revealed a large esophageal polyp extending from the upper esophageal sphincter to the lower esophageal sphincter. The initial attempt of endoscopic resection of the polyp led to regurgitation and intraoral prolapse of the polyp, causing respiratory distress. The patient was transferred to the ENT operation room and an orotracheal intubation was performed. The tumor was successfully removed transorally after ligation of its stem. Histopathology showed an inflammatory fibroid polyp (IFP) and postsurgical follow-up revealed no recurrence of the mass.

Conclusion
Giant IFPs are an extremely rare entity among upper esophageal polyps and the pathogenesis of these tumors remains poorly understood. Life threatening regurgitation of the polyp causing respiratory distress is an uncommon complication demanding urgent surgical approach. Once diagnosed, these benign tumors can be removed either with open surgery or endoscopic resection depending on the location and the size of the tumor. The impressive size of these polyps renders them a challenge for surgeons and endoscopists, whose cooperation is often in need.
Decreased Enteric Bacterial Composition and Diversity in South American Crohn’s Disease Vary With the Choice of Treatment Strategy and Time Since Diagnosis
Authors: Cruz-Lebrón Angélica , D’argenio Garcia Leticia , Talla Aarthi , Joussef-Piña Samira , Quiñones-Mateu Miguel E , Sékaly Rafick-Pierre , de Carvalho Karina Inacio Ladislau , Levine Alan D 
Published: November 2019

Abstract

Background and Aims
The symptomology of Crohn’s disease [CD], a chronic inflammatory disease of the digestive tract, correlates poorly with clinical, endoscopic or immunological assessments of disease severity. The prevalence of CD in South America is rising, reflecting changes in socio-economic stability. Many treatment options are available to CD patients, including biological agents and corticosteroids, each of which offers variable efficacy attributed to host genetics and environmental factors associated with alterations in the gut microbiota.

Methods
Based on 16S rRNA gene sequencing and taxonomic differences, we compared the faecal microbial population of Brazilian patients with CD treated with corticosteroid or anti-tumour necrosis factor [anti-TNF] immunotherapy. Faecal calprotectin and plasma sCD14 levels were quantified as markers for local and systemic inflammation, respectively.

Results
Anti-TNF treatment led to an increased relative abundance of Proteobacteria and a decreased level of Bacteroidetes. In contrast, corticoid treatment was associated with an increase in the relative abundance of Actinobacteria, which has been linked to inflammation in CD. Disruption of the faecal microbiota was related to decreased bacterial diversity and composition. Moreover, the choice of clinical regimen and time since diagnosis modulate the character of the resulting dysbiosis.

Conclusions
Enteric microbial populations in CD patients who have been treated are modulated by disease pathogenesis, local inflammatory microenvironment and treatment strategy. The dysbiosis that remains after anti-TNF treatment due to decreased bacterial diversity and composition abates restoration of the microbiota to a healthy state, suggesting that the identification and development of new clinical treatments for CD must include their capacity to normalize the gut microbiota.
How Should We Think about the Winners and Losers from Globalization? Three Narratives and Their Implications for the Redesign of International Economic Agreements
Authors: Lamp Nicolas 
Published: November 2019

Abstract
In the wake of Donald Trump’s election to the US presidency, the ‘losers’ from globalization have received unprecedented attention. While few would contest that manufacturing workers in developed countries have lost out over the past decades, the remedies proposed by President Trump have been met with a mixture of concern and ridicule by the trade establishment. And, yet, it seems clear that, at least in the USA, politicians and trade officials are no longer able to convince voters that international economic agreements will ‘lift all boats’. Instead, those engaged in debates about trade policy will need to be open about the fact that international economic agreements create both winners and losers. This article identifies three narratives about who those winners and losers are. The article argues that the contestation between these three narratives is not one that can be resolved through empirical analysis but, instead, that the narratives contain irreducible normative elements. The article further explores the implications of these narratives for the redesign of international economic agreements.
Resilience or Vulnerability of the Rear-Edge Distributions of Pinus halepensis and Pinus pinaster Plantations Versus that of Natural Populations, under Climate-Change Scenarios
Authors: Silvério E , Duque-Lazo J , Navarro-Cerrillo R M , Pereña F , Palacios-Rodríguez G 
Published: November 2019

AbstractIt is predicted that changes in climate will lead to episodes of large forest decline and mortality. Therefore, the distributions of forest plantations and natural stands might already be facing such impacts. We selected the most arid zone of south-eastern Europe (eastern Andalusia) to assess how the distributions of Pinus halepensis Miller. and Pinus pinaster Aiton forest plantations and natural stands cope with climate change and to determine whether natural or planted distributions would be more stable under future climate-change scenarios. We used presence-point locations from natural distributions, obtained from the third Spanish National Forest Inventory, to develop ensemble species distribution models. The forecast predicted a slight increase in the potential distribution of both species by 2040, with a subsequent drastic decrease until 2099. Pinus halepensis had larger current and future potential distributions than P. pinaster but a slightly greater decrease with time in the potential distribution than that of P. pinaster. On the other hand, the natural and planted distributions of P. halepensis were more vulnerable to future climate change scenarios than those of P. pinaster. Natural populations will likely be more resilient to climate change than planted populations.
The Frequency of Sleep Medication Use and the Risk of Subjective Cognitive Decline (SCD) or SCD With Functional Difficulties in Elderly Individuals Without Dementia
Authors: Lee Joo Eun , Ju Yeong Jun , Chun Ki Hong , Lee Soon Young 
Published: November 2019

Abstract

Background
The present study investigated whether the frequency of sleep medication use affects subjective cognitive decline (SCD) or SCD with functional difficulties in elderly individuals.

Methods
The 2018 Korea Community Health Survey data, which consists of national representative and community-based data, was used in this study. A total of 57,050 individuals aged 65 years or older were included in this study. SCD was measured using the Behavioral Risk Factor Surveillance System. A logistic regression analysis was used to analyze the data.

Results
In total, 16,966 (29.7%) participants had SCD and 3,487 (6.1%) had SCD with functional difficulties. The elderly individuals who took sleep medication more than once a week had higher risks of both SCD and SCD with functional difficulties than those who did not take any sleep medication in a month (SCD: odds ratio [OR] = 1.329, 95% confidence interval [CI] = 1.194–1.480; SCD with functional difficulties: OR = 1.752, 95% CI = 1.491–2.058).

Conclusions
Frequent sleep medication use was associated with both SCD and SCD with functional difficulties. This study suggests that early detection of cognitive impairment and efforts to reduce the frequent use of sleeping pills in patients with insomnia might be helpful to reduce the burden of SCD and SCD with functional difficulties in the elderly population.
Algebraic Reduced Genus One Gromov–Witten Invariants for Complete Intersections in Projective Spaces
Authors: Lee Sanghyeon , Oh Jeongseok 
Published: November 2019

Abstract
In [ 17, 18], Zinger defined reduced Gromov–Witten (GW) invariants and proved a comparison theorem of standard and reduced genus one GW invariants for every symplectic manifold (with all dimension). In [ 3], Chang and Li provided a proof of the comparison theorem for quintic Calabi–Yau three-folds in algebraic geometry by taking a definition of reduced invariants as an Euler number of certain vector bundle. In [ 5], Coates and Manolache have defined reduced GW invariants in algebraic geometry following the idea by Vakil and Zinger in [ 14] and proved the comparison theorem for every Calabi–Yau threefold. In this paper, we prove the comparison theorem for every (not necessarily Calabi–Yau) complete intersection of Dimension 2 or 3 in projective spaces by taking a definition of reduced GW invariants in [ 5].
Seismic impedance inversion using second-order overlapping group sparsity with A-ADMM
Authors: Wu Hao , Li Shu , Chen Yingpin , Peng Zhenming 
Published: November 2019

Abstract
The anisotropic total variation with overlapping group sparsity (ATV_OGS) regularisation term is an improvement on the anisotropic total variation (ATV) regularisation term. It has been employed successfully in seismic impedance inversion as it can enhance the boundary information and relieve the staircase effect by exploring the structured sparsity of seismic impedance. However, because ATV_OGS constrains only the structured sparsity of the impedance's first-order difference and ignores the structured sparsity of the second-order difference, the staircase effect still occurs in an inversion result based on ATV_OGS. To further fit the structured sparsity of the impedance's second-order gradients, we introduce the overlapping group sparsity into the second-order difference of the impedance and propose a novel second-order ATV with overlapping group sparsity (SATV_OGS) seismic impedance inversion method. The proposed method reduces the interference of the large amplitude noise and further mitigates the staircase effect of the ATV_OGS. Furthermore, the accelerated alternating direction method of multipliers (A-ADMM) framework applied to this novel method. It can increase the efficiency of inversion. The experiments are carried out on a general model data and field data. Based on the experimental results, the proposed method can obtain higher resolution impedance than some impedance inversion methods based on total variation.
Formation resistivity measurement based on a transient electromagnetic field excited by an acoustic probe in an open-hole
Authors: Sheng Xiaofei , Shen Jianguo , Shen Yongjin 
Published: November 2019

AbstractThe monopole probe commonly used in acoustic logging can generate vibrations in its natural frequency under the excitation of the pulse signal, and excite transient electromagnetic (TEM) signals of the same frequency. The acoustic probe receives both acoustic and TEM field signals. The TEM field propagates and attenuates in conductive well fluid and formations, carrying formation resistivity information that could be used for formation evaluation. Based on the axisymmetry of the TEM field in an open-hole, theoretical calculation of the TEM field components in an open-hole model was performed. The results revealed that TEM response signals decay rapidly with time, and electric field intensity along the well axis Ez is approximately linear with formation resistivity. On this basis, we proposed a new method for measuring formation resistivity in an open-hole, which could supplement conventional logging methods. Also, it does not affect signal processing of acoustic logging and only applies the TEM signal to determine formation resistivity. The new method could accomplish a more comprehensive petroleum formation evaluation, which is of great significance to the integrated design of the well logging instrument.