bluuebunny/crossref_metadata_2025_split huggingface dataset:
Incorporating textual network improves Chinese stock market analysis
Authors: Li Yi , Mi Zichuan , Jing Wenjun 
Published: December 2020

AbstractThis study adopts the textual network to describe the coordination among the interplay of words, where nodes represent words and nodes are connected if the corresponding words have co-occurrence pattern across documents. To study stock movements, we further proposed the sparse laplacian shrinkage logistic model (SLS_L) which can properly take into account the network connectivity structure. By using this approach, we investigated the relationship between Shenwan index and analysts' research reports. The securities analysts’ research reports are crawled by a famous financial website in China: EastMoney, and are then parsed into time-series textual data. The empirical results show that the proposed SLS_L model outperforms alternatives including Lasso-Logistics (L_L) and MCP-Logistic (MCP_L) models by having better prediction performance. Besides, we search published literature and find the identified keywords with more lucid interpretations. Our study unveils some interesting findings that the efficient use of textual network is important to improve the predictive power as well as the semantic interpretability in stock market analysis.
Synanthropic spiders, including the global invasive noble false widow Steatoda nobilis, are reservoirs for medically important and antibiotic resistant bacteria
Authors: Dunbar John P. , Khan Neyaz A. , Abberton Cathy L. , Brosnan Pearce , Murphy Jennifer , Afoullouss Sam , O’Flaherty Vincent , Dugon Michel M. , Boyd Aoife 
Published: December 2020

AbstractThe false widow spider Steatoda nobilis is associated with bites which develop bacterial infections that are sometimes unresponsive to antibiotics. These could be secondary infections derived from opportunistic bacteria on the skin or infections directly vectored by the spider. In this study, we investigated whether it is plausible for S. nobilis and other synanthropic European spiders to vector bacteria during a bite, by seeking to identify bacteria with pathogenic potential on the spiders. 11 genera of bacteria were identified through 16S rRNA sequencing from the body surfaces and chelicerae of S. nobilis, and two native spiders: Amaurobius similis and Eratigena atrica. Out of 22 bacterial species isolated from S. nobilis, 12 were related to human pathogenicity among which Staphylococcus epidermidis, Kluyvera intermedia, Rothia mucilaginosa and Pseudomonas putida are recognized as class 2 pathogens. The isolates varied in their antibiotic susceptibility: Pseudomonas putida, Staphylococcus capitis and Staphylococcus edaphicus showed the highest extent of resistance, to three antibiotics in total. On the other hand, all bacteria recovered from S. nobilis were susceptible to ciprofloxacin. Our study demonstrates that S. nobilis does carry opportunistic pathogenic bacteria on its body surfaces and chelicerae. Therefore, some post-bite infections could be the result of vector-borne bacterial zoonoses that may be antibiotic resistant.
Abrupt warming and salinification of intermediate waters interplays with decline of deep convection in the Northwestern Mediterranean Sea
Authors: Margirier Félix , Testor Pierre , Heslop Emma , Mallil Katia , Bosse Anthony , Houpert Loïc , Mortier Laurent , Bouin Marie-Noëlle , Coppola Laurent , D’Ortenzio Fabrizio , Durrieu de Madron Xavier , Mourre Baptiste , Prieur Louis , Raimbault Patrick , Taillandier Vincent 
Published: December 2020

AbstractThe Mediterranean Sea is a hotspot for climate change, and recent studies have reported its intense warming and salinification. In this study, we use an outstanding dataset relying mostly on glider endurance lines but also on other platforms to track these trends in the northwestern Mediterranean where deep convection occurs. Thanks to a high spatial coverage and a high temporal resolution over the period 2007–2017, we observed the warming (+0.06 $$^\circ$$

∘

C year$$^{-1}$$

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1

) and salinification (+0.012 year$$^{-1}$$

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1

) of Levantine Intermediate Water (LIW) in the Ligurian Sea. These rates are similar to those reported closer to its formation area in the Eastern Mediterranean Sea. Further downstream, in the Gulf of Lion, the intermediate heat and salt content were exported to the deep layers from 2009 to 2013 thanks to deep convection processes. In 2014, a LIW step of +0.3 $$^\circ$$

∘

C and +0.08 in salinity could be observed concomitant with a weak winter convection. Warmer and more saline LIW subsequently accumulated in the northwestern basin in the absence of intense deep convective winters until 2018. Deep stratification below the LIW thus increased, which, together with the air–sea heat fluxes intensity, constrained the depth of convection. A key prognostic indicator of the intensity of deep convective events appears to be the convection depth of the previous year.
Cross-continental emergence of Nannizziopsis barbatae disease may threaten wild Australian lizards
Authors: Peterson Nicola R. , Rose Karrie , Shaw Stephanie , Hyndman Tim H. , Sigler Lynne , Kurtböke D. İpek , Llinas Josh , Littleford-Colquhoun Bethan L. , Cristescu Romane , Frère Celine 
Published: December 2020

AbstractMembers of the genus Nannizziopsis are emerging fungal pathogens of reptiles that have been documented as the cause of fatal mycoses in a wide range of reptiles in captivity. Cases of severe, proliferative dermatitis, debility and death have been detected in multiple free-living lizard species from locations across Australia, including a substantial outbreak among Eastern water dragons (Intellagama lesueurii) in Brisbane, Queensland. We investigated this disease in a subset of severely affected lizards and identified a clinically consistent syndrome characterized by hyperkeratosis, epidermal hyperplasia, dermal inflammation, necrosis, ulceration, and emaciation. Using a novel fungal isolation method, histopathology, and molecular techniques, we identified the etiologic agent as Nannizziopsis barbatae, a species reported only once previously from captive lizards in Australia. Here we report severe dermatomycosis caused by N. barbatae in five species of Australian lizard, representing the first cases of Nannizziopsis infection among free-living reptiles, globally. Further, we evaluate key pathogen and host characteristics that indicate N. barbatae-associated dermatomycosis may pose a concerning threat to Australian lizards.
A combined NMR and EPR investigation on the effect of the disordered RGG regions in the structure and the activity of the RRM domain of FUS
Authors: Bonucci A. , Murrali M. G. , Banci L. , Pierattelli R. 
Published: December 2020

AbstractStructural disorder represents a key feature in the mechanism of action of RNA-binding proteins (RBPs). Recent insights revealed that intrinsically disordered regions (IDRs) linking globular domains modulate their capability to interact with various sequences of RNA, but also regulate aggregation processes, stress-granules formation, and binding to other proteins. The FET protein family, which includes FUS (Fused in Sarcoma), EWG (Ewing Sarcoma) and TAF15 (TATA binding association factor 15) proteins, is a group of RBPs containing three different long IDRs characterized by the presence of RGG motifs. In this study, we present the characterization of a fragment of FUS comprising two RGG regions flanking the RNA Recognition Motif (RRM) alone and in the presence of a stem-loop RNA. From a combination of EPR and NMR spectroscopies, we established that the two RGG regions transiently interact with the RRM itself. These interactions may play a role in the recognition of stem-loop RNA, without a disorder-to-order transition but retaining high dynamics.
U.S. state correlations between oral health metrics and Alzheimer’s disease mortality, prevalence and subjective cognitive decline prevalence
Authors: Scherer Rana X. , Scherer Warren J. 
Published: December 2020

AbstractGiven the association between periodontal disease (PdD) and Alzheimer’s disease (AD), we examined correlations between states’ age-adjusted AD mortality rates, AD prevalence, subjective cognitive decline (SCD) prevalence, and oral health data. Data sources include the Centers for Disease Control and Prevention, scientific literature, and oral health rankings formulated by WalletHub.com and Toothbrush.org. Pearson (r) or Spearman (rs) correlation coefficients were generated and evaluated. AD mortality rates correlate with dental visits (r = − 0.50, p = 0.0003), partial (r = 0.39, p = 0.005) or total (r = 0.44, p = 0.001) edentulism, WalletHub.com (rs = 0.30, p = 0.03) and Toothbrush.org (rs = 0.35, p = 0.01) rankings. AD prevalence correlates with dental visits (r = − 0.30, p = 0.03), partial (r = 0.55, p = 0.00003) or total (r = 0.46, p = 0.0009) edentulism, prevalence of any (r = 0.38, p = 0.006) or severe-stage (r = 0.46, p = 0.0009) PdD, and WalletHub.com (rs = 0.38, p = 0.006) rankings. SCD prevalence in adults aged ≥ 45 years correlates with dental visits (r = − 0.69, p < 0.00001), partial (r = 0.33, p = 0.02) or total (r = 0.37, p = 0.008) edentulism, prevalence of any (r = 0.53, p = 0.0001) or severe-stage (r = 0.57, p = 0.00002) PdD, WalletHub.com (rs = 0.53, p = 0.00008) and Toothbrush.org (rs = 0.60, p < 0.00001) rankings. State metrics indicative of compromised oral health correlate with AD mortality rates, AD prevalence and SCD prevalence.
Possibility to extend the shelf life of NFC tomato juice using cold atmospheric pressure plasma
Authors: Starek Agnieszka , Sagan Agnieszka , Andrejko Dariusz , Chudzik Barbara , Kobus Zbigniew , Kwiatkowski Michał , Terebun Piotr , Pawłat Joanna 
Published: December 2020

AbstractCold Atmospheric pressure Plasma (CAP) is a non-thermal method used in food processing. CAP generated with the use of nitrogen in a Glide-arc device for 300 to 600 s exhibited high potential for microbial decontamination and did not induce substantial changes in the physicochemical properties of NFC tomato juice. Samples exposed to cold atmospheric plasma had mostly an intact structure, as revealed by digital microscopy. The investigations indicate that CAP can be applied for biological and chemical waste-free decontamination of food and extension of its shelf life.
Phenotypic plasticity in size of ant-domatia
Authors: Kokolo Bertrand , Attéké Nkoulémbéné Christiane , Ibrahim Brama , M’Batchi Bertrand , Blatrix Rumsais 
Published: December 2020

AbstractAnt-plants produce hollow structures called domatia to host protecting ants. Although size variation in domatia is well documented between related species, intraspecific variation is little explored. The central African ant-plant Barteria dewevrei exibits strong variation in domatium size, giving the opportunity to explore the mechanism underlying variation in a mutualistic trait. We showed that domatium size in Barteria dewevrei varies between sites. We transplanted individual plants between two sites in Gabon where plants have different domatium sizes. Domatium size of transplanted plants changed, revealing that variation in this mutualistic trait is driven by phenotypic plasticity. The two sites differed in their environmental conditions: highland open savanna on sandy soil vs lowland closed tropical rain forest on sandy-loam soil. However, as stomatal density and δ13C of leaves did not differ between sites or between branches produced before and after transplantation, we have no cue on the role of abiotic stress (such as light intensity and water availability) in domatium size variation. As the obligate Tetraponera ant symbionts are too large to fit in the small domatia, variation of the mutualistic trait in response to environmental change through phenotypic plasticity may impact this specialized mutualism.
Molecular phylogeny inferred from the mitochondrial genomes of Plecoptera with Oyamia nigribasis (Plecoptera: Perlidae)
Authors: Zhao Meng-Yuan , Huo Qing-Bo , Du Yu-Zhou 
Published: December 2020

AbstractIn this study, the mitochondrial genome of the stonefly, Oyamia nigribasis Banks, 1920 (Plecoptera: Perlidae), was sequenced and compared with the mtDNA genomes of 38 other stoneflies and two Ephemerae. The O. nigribasis mitogenome is a circular 15,923 bp molecule that encodes a large, noncoding control region (CR) and 37 typical mtDNA genes; these include 13 protein-coding genes (PCGs), 22 transfer RNA genes (tRNAs), and two ribosomal RNA genes (rRNAs), respectively. Most of the PCGs initiated with ATN and terminated with TAN. The dihydrouridine (DHU) arm of tRNASer (AGN) was missing, whereas the other 21 tRNAs all exhibited the typical cloverleaf secondary structure. Stem-loop (SL) structures and tandem repeats were identified in the CR. Phylogenetic analyses using Bayesian inference and maximum likelihood were undertaken to determine relationships between stoneflies. Results indicated that the Antarctoperlaria, which contains Gripopterygidae, was absolutely separated from Arctoperlaria; this finding agrees with morphology. Finally, the overall relationships could be summarized as follows ((((Notonemouridae + Nemouridae) + Leuctridae) + (Scopuridae + (Capniidae + Taeniopterygidae))) + (((Perlodidae + Chloroperlidae) + Perlidae) + (Pteronarcyidae + (Peltoperlidae + Styloperlidae))) + ((Diamphipnoidae + Eustheniidae) + Gripopterygidae)).
Multiple proteases are involved in mesothelin shedding by cancer cells
Authors: Liu Xiufen , Chan Alexander , Tai Chin-Hsien , Andresson Thorkell , Pastan Ira 
Published: December 2020

AbstractMesothelin (MSLN) is a lineage restricted cell surface protein expressed in about 30% of human cancers and high MSLN expression is associated with poor survival in several different cancers. The restricted expression of MSLN in normal tissue and its frequent expression in cancers make MSLN an excellent target for antibody-based therapies. Many clinical trials with agents targeting MSLN have been carried out but to date none of these agents have produced enough responses to obtain FDA approval. MSLN shedding is an important factor that may contribute to the failure of these therapies, because shed MSLN acts as a decoy receptor and allows release of antibodies bound to cell-surface MSLN. We have investigated the mechanism of shedding and show here that members of the ADAM, MMP and BACE families of proteases all participate in shedding, that more than one protease can produce shedding in the same cell, and that inhibition of shedding greatly enhances killing of cells by an immunotoxin targeting MSLN. Our data indicates that controlling MSLN shedding could greatly increase the activity of therapies that target MSLN.
Quantum phase transition induced by topological frustration
Authors: Marić Vanja , Giampaolo Salvatore Marco , Franchini Fabio 
Published: December 2020

AbstractIn quantum many-body systems with local interactions, the effects of boundary conditions are considered to be negligible, at least for sufficiently large systems. Here we show an example of the opposite. We consider a spin chain with two competing interactions, set on a ring with an odd number of sites. When only the dominant interaction is antiferromagnetic, and thus induces topological frustration, the standard antiferromagnetic order (expressed by the magnetization) is destroyed. When also the second interaction turns from ferro to antiferro, an antiferromagnetic order characterized by a site-dependent magnetization which varies in space with an incommensurate pattern, emerges. This modulation results from a ground state degeneracy, which allows to break the translational invariance. The transition between the two cases is signaled by a discontinuity in the first derivative of the ground state energy and represents a quantum phase transition induced by a special choice of boundary conditions.
Monitoring of fault level in future grid scenarios with high penetration of power electronics‐based renewable generation
Authors: Aljarrah Rafat , Marzooghi Hesamoddin , Yu James , Terzija Vladimir 
Published: December 2020

AbstractThis paper proposes a novel method for quantifying fault level in future grid scenarios with various penetrations of power electronics‐connected renewable energy sources. As it is known, the information regarding the fault level is critically important for designing protection schemes, different control loops, understanding voltage profile in the grid, etc. This method is focused on the steady‐state fault level calculation and it can be used to analyse future grid scenarios including uniform and non‐uniform penetration of power electronics‐based generation displacing all, or just specific conventional synchronous generation in the grid. Due to different possibilities for type, size, and location of power electronics‐based RES generation in future grid, it is required to analyse the unprecedented scale of scenarios. The proposed method for FLC enables us to assess the system fault level for large numbers of FG scenarios without a need for detailed system modelling and/or time‐domain simulations. The simulation results demonstrated the suitability of our proposed FLC method for various penetration levels of PE‐based RESs in the 2‐area and the IEEE 39‐bus test systems. The obtained results are compared with time‐domain simulations and the IEC 60909 standards performed in DIgSILENT PowerFactory, where the efficacy of the proposed methodology is demonstrated.
An accurate analysis method for transient characteristics of DC line faults in voltage source converter‐based DC systems
Authors: Xiao Zhengguang , Zheng Xiaodong , He Yangyang , Tai Nengling , Fan Chunju , Huang Ning , Jiang Shan 
Published: December 2020

AbstractVoltage source converter‐based DC systems face severe overcurrent problem under DC line faults, which causes significant influence on security, reliability and stability of the power system. As the theoretical basis for relay coordination and protection, the transient fault analysis of voltage source converter‐based DC systems needs an in‐depth study. Based on the conventional fault analysis, an accurate transient fault analysis method for the DC pole‐to‐ground fault and pole‐to‐pole fault through freewheeling diode switch state signals is proposed. In the capacitor discharge stage, fault current calculation error is reduced by taking into consideration the current fed from the grid side. In addition, through detailed analysis of the conduction condition and state of the freewheeling diode, clear calculation equations of transient fault currents are obtained. With the prior knowledge of fault response characteristics, definitions of freewheeling diode switch state signals assist in unifying calculation processes of different fault stages and simplifying transient fault calculation. Finally, a typical simulation model of the voltage source converter‐based DC system was built in PSCAD/EMTDC software. The simulation results verified the conciseness and correctness of the proposed fault analysis method compared with the conventional fault analysis.
Multi‐year planning of LV networks with EVs accounting for customers, emissions and techno‐economics aspects: A practical and scalable approach
Authors: Quirós‐Tortós Jairo , Ochoa Luis F. 
Published: December 2020

AbstractThe uptake of electric vehicles (EVs) is expected to trigger investments to adapt existing distribution networks, particularly in the low voltage (LV). To make adequate, holistic planning decisions over multiple years, the assessment of alternatives—such as reinforcements or the adoption of EV management strategies—must not only capture when the investments are needed but also the effects on customers and carbon emissions, all while accounting for uncertainties. This paper proposes a stochastic, practical, and scalable progressive multi‐year planning methodology that considers technical, customer, economic and environmental aspects to make holistic planning decisions for existing LV networks to accommodate EVs. The proposed rule‐based methodology contrasts the net present value and benefits of four planning alternatives: network reinforcements, EV charging point management, and their combinations. Uncertainties are catered for by adopting a Monte Carlo approach. Using two real UK LV networks and realistic time‐series data, results demonstrate the importance of a holistic decision‐making approach. From an economic perspective, EV management is better for voltage issues, and reinforcements for thermal problems. However, when customer effects are considered, the management can lead to unacceptable charging delays. Combinations, on the other hand, provide trade‐offs between cost and the effects on customers or carbon emissions.
Parallel global convolutional network for semantic image segmentation
Authors: Bai Xing , Zhou Jun 
Published: December 2020

AbstractIn this paper, a novel convolutional neural network for fast semantic segmentation is presented. Deep convolutional neural networks have achieved great progress in the task of vision scene understanding. While the increase of the accuracy mainly depends on the increase of depth and width. This slows down large networks and consumes power. A fast and efficient convolutional neural network, PGCNet, aiming at segmenting high‐resolution images with a high speed is introduced. Compared with the competitive methods, the generated model has high performance with fewer parameters and floating point operations. First, a lightweight general architecture pre‐trained on ImageNet is relied on as the main encoder. Then, a novel lateral connection module to better transmit features from encoder to decoder. Third, a powerful method termed as PGCN block to extract features of each block in the encoder is proposed and an edge decoder is applied as a supervision for pixels on the edge of stuff and things during training. Experiments show that this method has great advantages. Based on the proposed PGCNet, 75.8% mean IoU is achieved on the cityscapes test set and 35.4 Hz on a standard Cityscapes image on GTX1080Ti.