bluuebunny/crossref_metadata_2025_split huggingface dataset:
CFGT: Lexicon-based Chinese Address Entity Recognition Using Collaborative Flat-Graph Transformer
Authors: Chen Songling , Shen Yaodi , Fu Xiangling , Wang Yi , Wu Weiqiang , Shen Yanting 
Published: September 2022

Abstract

Lacking lexical information is a key barrier in developing high-performance Chinese Address Entity Recognition (AER) methods -- a critical foundation of many geospatial techniques. To this end, we propose a lexicon-based Chinese AER method using Collaborative Flat-Graph Transformer (CFGT). CFGT utilizes the lexical information to enhance the representation of character sequence of an Chinese address. First, it constructs two types of collaborative flat-graphs, flat-lattice and flat-shift, to capture the semantic information of self-matched lexical words (SMWs) and nearest contextual lexical words (NCWs) for characters. Then, their collaboration is achieved through a fusion layer. Secondly, it reinforce the effect of lexical enhancement using an improved relative position encoding, which complements the collaborative flat-graphs. Finally, it use Transformer to integrate Chinese character features with lexical information and CRF to derive final label predictions. Experimental results on various datasets show that the proposed CFGT method outperforms both the previous Chinese AER models and the state-of-the-art (SOTA) model in Chinese named entity recognition. The source code is available at https://github.com/hoppyNaut/CFGT.
Cryptic MHC-E epitope from influenza elicits a potent cytolytic T cell response
Authors: Hogan Michael , Maheshwari Nikita , Begg Bridget , Nicastri Annalisa , Muramatsu Hiromi , Pardi Norbert , Miller Michael , Reilly Shanelle , Brossay Laurent , Lynch Kristen , Ternette Nicola , Eisenlohr Laurence 
Published: September 2022

Abstract
The extent to which unconventional forms of antigen presentation drive T cell immunity is unknown. By convention, CD8 T cells recognize viral peptides in association with classical major histocompatibility complex (MHC) class I, or MHC-Ia, but immune surveillance can in some cases be directed against peptides presented by non-classical MHC-Ib, for example the MHC-E proteins (Qa-1 in mice and HLA-E in humans); however, the overall importance of non-classical responses in antiviral immunity remains unclear. Similarly uncertain is the importance of “cryptic” viral epitopes, defined as those undetectable by conventional mapping techniques. Here, we used an immunopeptidomics approach to search for unconventional epitopes that drive T cell responses in mice infected with influenza A virus (IAV). We identify a nine amino acid epitope, termed M-SL9, that drives a co-immunodominant, cytolytic CD8 T cell response that is unconventional in two ways: first, it is presented by Qa-1, and second, it maps to an alternative reading frame of the influenza matrix protein 1 (M1) mRNA and appears to derive mainly from an unannotated 16-residue peptide that is dispensable for viral replication. Presentation and immunogenicity of M-SL9 were dependent on the second AUG codon of the positive sense matrix RNA segment, supporting translation initiation by leaky ribosomal scanning. This work suggests that non-canonical translation products must be examined in order to fully reveal the T cell repertoire and adds to a growing body of evidence that MHC-E-restricted T cells may have significant therapeutic value.
A Novel Feature Selection Method Based On Discrete Bee Colony Algorithm for Palm Vein Authentication.
Authors: Ghoualmi Lamis , Benkechakche Mohamed-El-Amine , Draa Amer 
Published: September 2022

Abstract
Vein pattern recognition is one of the newest biometric technologies that competes with well-known biometric techniques such as fingerprint, face, and iris recognition. However, feature extraction of the palm vein feature, which seeks to collect the most distinctive features that uniquely identify individuals, might have redundant and useless features, which would reduce the performance of the biometric system and cause a dimension issue. This paper presents an improved feature selection technique based on a bio-inspired artificial intelligence algorithm called Discrete Artificial Bee Colony (DABC) for palm vein biometric authentication. The best set of features from those offered by the Gabor feature extractor are selected using the DABC algorithm. A variant of the Opposition-Based Learning (OBL) concept is introduced to increase diversity and efficiently explore the search area. The proposed approach, termed Modified Opposition-based DABC (MODABC), has been evaluated using the CASIA palm vein database in comparison to full feature, Discrete Particle Swarm (DSPO), Genetic Algorithm (GA), Discrete Artificial Bee Colony (DABC), and Discrete Guided Artificial Bee Colony (GDABC) based feature selection. The experimental findings demonstrate that the proposed method performs better than the DPSO, GA, DABC, and GDABC-based feature selection by improving the accuracy from 90.81 \% to 97.61 \% and reducing the feature vector size from 3200 to 1520. The proposed method provides a suitable balance between the feature vector size and the authentication rate.
Tau and GSK-3β are critical contributors to α-synuclein-mediated post-stroke brain damage
Authors: Mehta Suresh L , Kim TaeHee , Chelluboina Bharath , Vemuganti Raghu 
Published: September 2022

Abstract
Post-stroke secondary brain damage is significantly influenced by the induction and accumulation of α-Synuclein (α-Syn). α-Syn positive inclusions are often present in tauopathies and elevated Tau levels and phosphorylation promotes neurodegeneration. Glycogen synthase kinase 3β (GSK-3β) is a known promoter of Tau phosphorylation. We currently evaluated the interaction of α-Syn with GSK-3β and Tau in post-ischemic mouse brain. Transient focal ischemia led to increased cerebral protein-protein interaction of α-Syn with both GSK-3β and Tau, and elevated Tau phosphorylation. Treatment with a GSK-3β inhibitor prevented post-stroke Tau phosphorylation. Furthermore, α-Syn interaction was observed to be crucial for post-stroke GSK-3β-dependent Tau hyperphosphorylation as it was not seen in α-Syn knockout mice. Furthermore, Tau knockout mice show significantly smaller brain damage after transient focal ischemia. Overall, the present study indicates that GSK-3β catalyzes the α-Syn-dependent Tau phosphorylation and preventing this interaction is crucial to limit the post-stroke secondary brain damage.
PSReliP: an integrated pipeline for analysis and visualization of population structure and relatedness based on genome-wide genetic variant data
Authors: Solovieva Elena , Sakai Hiroaki 
Published: September 2022

Abstract
Background
Population structure and cryptic relatedness between individuals (samples) are two major factors affecting false positives in genome-wide association studies (GWAS). In addition, population stratification and genetic relatedness in genomic selection in animal and plant breeding can affect prediction accuracy. The methods commonly used for solving these problems are principal component analysis (to adjust for population stratification) and marker-based kinship estimates (to correct for the confounding effects of genetic relatedness). Currently, many tools and software are available that analyze genetic variation among individuals to determine population structure and genetic relationships. However, none of these tools or pipelines perform such analyses in a single workflow and visualize all the various results in a single interactive web application.
Results
We developed PSReliP, a standalone, freely available pipeline for the analysis and visualization of population structure and relatedness between individuals in a user-specified genetic variant dataset. The analysis stage of PSReliP is responsible for executing all steps of data filtering and analysis and contains an ordered sequence of commands from PLINK, a whole-genome association analysis toolset, along with in-house shell scripts and Perl programs that support data pipelining. The visualization stage is provided by Shiny apps, an R-based interactive web application. In this study, we describe the characteristics and features of PSReliP and demonstrate how it can be applied to real genome-wide genetic variant data.
Conclusions
The PSReliP pipeline allows users to quickly analyze genetic variants such as single nucleotide polymorphisms and small insertions or deletions at the genome level to estimate population structure and cryptic relatedness using PLINK software and to visualize the analysis results in interactive tables, plots, and charts using Shiny technology. The analysis and assessment of population stratification and genetic relatedness can aid in choosing an appropriate approach for the statistical analysis of GWAS data and predictions in genomic selection. The various outputs from PLINK can be used for further downstream analysis. The code and manual for PSReliP are available at https://github.com/solelena/PSReliP.
Smaller and more efficient image classification neural network for mobile devices
Authors: Li Guoqiang , Wu Yanfang , Hao Xinyu 
Published: September 2022

Abstract
In recent years, lightweight network architectures have been designed to reducememory and computing resources, making it easier to deploy on mobile andembedded devices.ShuffleNet V2 is a classic lightweight neural network that maintainsadvanced technology in terms of efficiency and performance, but it still contains a largenumber of parameters and computations, and the accuracy and responsiveness of themodel can be further improved.For these problems, an efficient and lightweight CNNarchitecture called ShuffleNeXt is proposed. In ShuffleNeXt, a module containing anovel bottleneck structure, called Shuffle-G Unit is presented,in which deepconvolution is applied to both ends of the structure to generate more expressive spatialfeatures that is different from the general bottleneck structure; the Ghost module isemployed to replace the original ordinary 1x1 convolution for reducing the number ofparameters and generating richer feature mappings to alleviate the intrinsic featureredundancy.Shortcut connetctions and computationally economical attentionmechanisms are introduced to the network for improving the modelperformance.Benchmarking results on a variety of public image datasets show thatShuffleNeXt with less computational cost achieves better classification performancethan ShuffleNet V2.On the CIFAR100 dataset, the Top-1 classification accuracy ofShuffleNeXt is improved by 2.57% over ShuffleNet V2, while the number of parametersdecreased by 9.6% and the computational speed increased by 12.9%.Compared withother advanced structures, our proposed ShuffleNeXt structure obtains higherclassification results with less computational memory.
Multi-omics network model reveals key genes associated with p-coumaric acid stress response in an industrial yeast strain
Authors: Ciamponi Felipe Eduardo , Procópio Dielle Pierotti , Murad Natália Farad , Franco Telma Texeira , Basso Thiago Olitta , Brandão Marcelo Mendes 
Published: September 2022

Abstract
The production of ethanol from lignocellulosic sources presents increasingly difficult issues for the global biofuel scenario, leading to the increased production cost of current second-generation (2G) ethanol when compared to first-generation (1G) plants. Among the setbacks encountered in industrial processes, the presence of chemical inhibitors from pre-treatment processes severely hinders the potential of yeasts in producing ethanol at peak efficiency. However, some industrial yeast strains have, either naturally or artificially, higher tolerance levels to these compounds. Such is the case of SA-1, a Brazilian industrial strain that has shown high resistance to inhibitors produced by the pre-treatment of cellulosic complexes. Our study focuses on the characterization of the transcriptomic and physiological impact of an inhibitor of this type, p-Coumaric acid (pCA), on this strain under chemostat cultivation via RNAseq and HPLC data. We show that, when exposed to pCA, SA-1 yeasts tend to increase ethanol production while reducing overall biomass yield, as opposed to pCA-susceptible strains that tend to reduce their fermentation efficiency when exposed to this compound, suggesting increased metabolic activity associated with mitochondrial and peroxisomal processes. The transcriptomic analysis also revealed a plethora of differentially expressed genes located in co-expressed clusters that are associated with changes in biological pathways linked to biosynthetic and energetical processes. Furthermore, we also identified 20 genes that act as interaction hubs for these clusters, while also having association with altered pathways and changes in metabolic outputs, potentially leading to the discovery of novel targets for genetic engineering toward a more robust industrial yeast strain.
Delineating fluid distribution beneath the southern Tohoku, Northeast Japan, with a joint inversion of magnetotelluric and geomagnetic transfer functions
Authors: Diba Dieno , Uyeshima Makoto , Ichiki Masahiro , Sakanaka Shin'ya , Tamura Makoto , Usui Yoshiya 
Published: September 2022

Abstract
The southern part of Tohoku, Northeast Japan, is an area with significant in-land activities owing to the ongoing subduction mechanism. Among these are active volcanoes distributed on the volcanic front and back-arc, active faults throughout the area, and a recently observed swarm of shallow earthquakes on the fore-arc side. As fluids play an essential role in arc magmatism and the associated seismicity, this study aims to understand the deep fluid distribution beneath southern Tohoku to clarify the origin of the activities. A magnetotelluric survey delineating the subsurface electrical resistivity structure was used as the bulk resistivity is sensitive to the composition and connectivity of fluids. Using a newly developed joint inversion code, we estimated the resistivity structure using the inter-station horizontal magnetic field transfer function (HMTF) in addition to the conventional magnetotelluric response functions. Joint inversion with HMTF improved the recovery of low-resistivity anomalies owing to the sensitivity of the HMTF to electrical current concentration, resulting in a model with smaller data misfits. The main feature of the resulting resistivity structure is that, instead of under the volcanic front, a deep conductive body is found under the back-arc side in a position closer to a back-arc volcano (Mt. Numazawa) and a swarm of low-frequency earthquakes. Petrological studies indicate that the deep source of fluids supplying to Mt. Numazawa may be the same as that of Mt. Azuma and Mt. Adatara on the volcanic front. Magmatic fluids ascend from the upper mantle to the upper crust via different branches, resulting in multiple eruption centers. Thus, we inferred that the conductor reflects the fluid path to Mt. Numazawa. The high conductivity, especially in the uppermost mantle, may be caused by flux melting, where water or other volatiles released from the subducting slab reduce the solidus of high-temperature basaltic rocks.
Research and Intelligent Prediction of Tight-fitting Sportswear Comfort
Authors: Cheng Pengpeng , Wang Jianping , Zeng Xianyi , BRUNIAUX Pascal , Chen Daoling 
Published: September 2022

Abstract
Focusing on the mechanism of "human-sport-clothing" system, this paper studies people-oriented sports comfort, and analyzes the influence of different tights combinations (i.e. tights and tights with different fabrics) and the effect of exercise status on the human body parts and overall comfort. In addition, because there are many impact indicators of comfort and the relationship is complicated, it is difficult for general models to deal with this relationship, which leads to the low accuracy of comfort prediction model. To solve this problem, this paper proposes an efficient intelligent prediction model, namely a new hybrid model based on PSO and CS algorithm. The results show that different fabric combinations have significant effects on local and overall comfort under different sports conditions. PSO-CS hybrid model is superior to PSO and CS model in predicting local and global comfort.
Employee Monetary Compensation and Employee Job Satisfaction
Authors: Watkins Randolph , Fusch Patricia 
Published: September 2022

Abstract
It is known employee job satisfaction is related to employee motivation, performance, retention, and other factors which are beneficial to the employee and the employer. In recent decades, some have used the work of SelfDetermination Theory to claim pay is irrelevant and promote the idea it is an employee’s commitment, attitude, and the programs the employer offers the employee that are important to employee satisfaction, motivation, performance, morale, and retention. However, the work of Self-Determination Theory has neither stated nor confirmed this concept. In a study considering if and to what extent a relationship exists between employee rate of monetary compensation and employee job satisfaction, it was found a statistically significant positive relationship exists between employee rate of monetary compensation and employee overall, extrinsic, and intrinsic job satisfaction. The sample consisted of N = 129 employees of Fortune 500 companies within the United States of America. Utilizing Spearman’s rank-order correlation employee overall job satisfaction resulted in ρ = .290, employee extrinsic job satisfaction resulted in ρ = .227, and employee intrinsic job satisfaction resulted in ρ = .325 all demonstrating a positive relationship with employee rate of monetary compensation. This article discusses the current literature, results, and implications.
High-pressure behavior of 3.65 Å phase: Insights from Raman spectroscopy
Authors: Basu Abhisek , Mookherjee Mainak , Bucag Christelle , Tkachev Sergey , Wunder Bernd 
Published: September 2022

Abstract
The 3.65 Å phase [MgSi(OH)6] is a hydrous phase that is predicted to be stable in a simplified MgO-SiO2-H2O (MSH) ternary system at pressures exceeding 9 GPa. Along cold subduction zones, it is likely to transport water, bound in its crystalline lattice, into the Earth’s interior. The 3.65 Å phase consists of Mg and Si octahedral sites attached to the hydroxyl group that forms a hydrogen bond and is predicted to undergo pressure-induced symmetrization of the hydrogen bond. Therefore, in this study, we investigate the high-pressure behavior of the 3.65 Å phase using Raman spectroscopy. We have conducted five distinct compressions up to ~60 GPa using two different pressure-transmitting media—alcohol mixture and neon. At ambient conditions, we identified vibrational modes using complementary first-principles simulations based on density functional perturbation theory. Upon compression, we note that the first derivative of the vibrational modes in the lattice region stiffens, i.e., b1lattice &gt; 0. In contrast, the hydroxyl region softens, i.e., b1OH &gt; 0. This is indicative of the strengthening of hydrogen bonding upon compression. We noticed a significant broadening of vibrational modes related to hydroxyl groups that are indicative of proton disorder. However, within the maximum pressures explored in this study, we did not find evidence for pressure-induced symmetrization of the hydrogen bonds. We used the pressure derivative of the vibrational modes to determine the ratio of the bulk moduli and their pressure derivative. We note that the smaller bulk moduli of hydrous phases compared to the major mantle phases are compensated by significantly larger pressure derivatives of the bulk moduli for the hydrous phases. This leads to a significant reduction in the elasticity contrast between hydrous and major mantle phases. Consequently, the detection of the degree of mantle hydration is likely to be challenging at greater depths.
High-pressure phase transition and equation of state of hydrous Al-bearing silica
Authors: Criniti Giacomo , Ishii Takayuki , Kurnosov Alexander , Glazyrin Konstantin , Ballaran Tiziana Boffa 
Published: September 2022

Abstract
Stishovite, a rutile-structured polymorph of SiO2, is a main component of subducted basaltic lithologies in the lower mantle. At mid lower-mantle depths, a second-order ferroelastic transition to orthorhombic CaCl2-type (post-stishovite) structure occurs, causing extensive elastic shear softening. Previous studies showed that Al incorporation can decrease the transition pressure, while it is still debated whether H has a similar effect. Here we report the equations of state, structural evolution, and phase transformation of Si0.948Al0.052O1.983H0.018 (Al5) stishovite and Si0.886Al0.114O1.980H0.074 (Al11) post-stishovite samples using diamond-anvil cells in combination with synchrotron X-ray diffraction and Raman spectroscopy. The Al5 sample transformed to the orthorhombic polymorph upon compression to 16 GPa, displaying a drop of ~12% in its bulk modulus across the transformation. The Al11 sample did not undergo any phase transition in the pressure range investigated. Single-crystal structural refinements and Raman spectroscopy measurements on the Al5 sample show that the soft optic mode B1g is decoupled from the tetragonal-to-orthorhombic structural transformation and shows a plateau in the stability field of post-stishovite, between 20 and 30 GPa. This observation indicates that the transformation is not pseudo-proper ferroelastic as in SiO2 stishovite and that existing Landau expansions are likely not applicable to H-rich Al-bearing silica samples. Using the equation of state parameters of orthorhombic Al5 and Al11 and literature data on SiO2 post-stishovite we then discuss the possibility of non-ideal mixing along the SiO2-AlOOH join.
Discovery of terrestrial andreyivanovite, FeCrP, and the effect of Cr and V substitution on the low-pressure barringerite-allabogdanite transition
Authors: Galuskin Evgeny V. , Kusz Joachim , Galuskina Irina O. , Książek Maria , Vapnik Yevgeny , Zieliński Grzegorz 
Published: September 2022

Abstract
Iron phosphides with significant variations of Cr (up to 18 wt%) and V (up to 8.6 wt%) contents were detected in gehlenite-bearing breccia at the Hatrurim Complex, Negev desert, Israel. Investigations of the composition and structure of the Fe2P phosphides showed that when the V+Cr content is higher than 0.26 apfu (atoms per formula unit), a transition from the hexagonal barringerite (P62m) to orthorhombic allabogdanite (Pnma) takes place. According to the experimental data, allabogdanite is a high-pressure (&gt;8 GPa) polymorph of barringerite. Pseudowollastonite associated with Cr-V-bearing allabogdanite is an indicator of phosphide crystallization at high temperature (&gt;1200 °C) and low pressure. Thus, at the low pressure close to ambient, when more than 13 at% Fe in Fe2P is substituted by Cr and V, the ortho-rhombic polymorph is stable. The orthorhombic phosphide with the highest Cr and V contents belongs to the andreyivanovite species with the FeCrP end-member formula. This is the first finding on Earth of that very rare mineral described from the Kaidun meteorite. Some Cr-V-bearing phosphides have an unusual morphology, which cannot be explained by crystallization from a melt. More probably, these phosphides can form in the process of replacing fish bone remains. We believe that sedimentary protolith was not thermally altered and contained a significant amount of bituminous organic matter and phosphorite inclusions. Injecting paralava into the sedimentary rocks determines the conditions for phosphide formation on the boundary of these rocks as a result of the high-temperature carbothermal reduction process.