bluuebunny/crossref_metadata_2025_split huggingface dataset:
Semi‐Supervised Surface Wave Tomography With Wasserstein Cycle‐Consistent GAN: Method and Application to Southern California Plate Boundary Region
Authors: Cai Ao , Qiu Hongrui , Niu Fenglin 
Published: February 2022

AbstractMachine learning algorithm has been applied to shear wave velocity (Vs) inversion in surface wave tomography, where a set of starting 1‐D Vs profiles and their corresponding synthetic dispersion curves are used in network training. Previous studies showed that the performance of such trained network is dependent on the diversity of the training data set, which limits its application to previously poorly understood regions. Here, we present an improved semi‐supervised algorithm‐based network that takes both model‐generated and observed surface wave dispersion data in the training process. The algorithm is termed Wasserstein cycle‐consistent generative adversarial networks (Wasserstein Cycle‐GAN [Wcycle‐GAN]). Different from conventional supervised approaches, the GAN architecture enables the inclusion of unlabeled data (the observed surface wave dispersion) in the training process that can complement the model‐generated data set. The cycle‐consistency and Wasserstein metric significantly improve the training stability of the proposed algorithm. We benchmark the Wcycle‐GAN method using 4,076 pairs of fundamental mode Rayleigh wave phase and group velocity dispersion curves derived in periods from 3 to 16 s in Southern California. The final 3‐D Vs model given by the best trained network shows large‐scale features consistent with the surface geology. The resulting Vs model has reasonable data misfits and provides sharper images of structures near faults in the top 15 km compared with those from conventional machine learning methods.
Autologous hematopoietic cell transplantation for relapsed multiple myeloma performed with cells procured after previous transplantation–study on behalf of CMWP of the EBMT
Authors: Drozd-Sokołowska Joanna , Gras Luuk , Zinger Nienke , Snowden John A. , Arat Mutlu , Basak Grzegorz , Pouli Anastasia , Crawley Charles , Wilson Keith M. O. , Tilly Herve , Byrne Jennifer , Bulabois Claude Eric , Passweg Jakob , Ozkurt Zubeyde Nur , Schroyens Wilfried , Lioure Bruno , Colorado Araujo Mercedes , Poiré Xavier , Van Gorkom Gwendolyn , Gurman Gunhan , de Wreede Liesbeth C. , Hayden Patrick J. , Beksac Meral , Schönland Stefan O. , Yakoub-Agha Ibrahim 
Published: February 2022

AbstractAutologous hematopoietic cell transplantation (auto-HCT) may be performed in multiple myeloma (MM) patients relapsing after a previous auto-HCT. For those without an adequate dose of stored stem cells, remobilization is necessary. This retrospective study included patients who, following disease relapse after the first auto-HCT(s), underwent stem cell remobilization and auto-HCT performed using these cells. There were 305 patients, 68% male, median age at salvage auto-HCT was 59 years. The median time to relapse after the first-line penultimate auto-HCT(s) was 30.6 months, the median follow-up after salvage auto-HCT 31 months. The 2- and 4-year non-relapse mortality (NRM) after the salvage auto-HCT was 5 and 9%, the relapse incidence 56 and 76%, respectively. Overall survival (OS) after 2 and 4 years was 76 and 52%, progression-free survival (PFS) 39 and 15%. In multivariable analysis an increasing interval between the penultimate auto-HCT and relapse was associated with better OS and PFS, later calendar year of salvage auto-HCT with better OS. In conclusion, salvage auto-HCT performed with cells remobilized after a previous auto-HCT was associated with acceptable NRM. The leading cause of failure was disease progression of MM, which correlated with a shorter interval from the penultimate auto-HCT to the first relapse.
Enhanced valley splitting of WSe2 in twisted van der Waals WSe2/CrI3 heterostructures
Authors: Ge Mei , Wang Han , Wu Jizheng , Si Chen , Zhang Junfeng , Zhang Shengbai 
Published: February 2022

AbstractVan der Waals (vdW) heterostructures composed of different two-dimensional (2D) materials offer an easily accessible way to combine properties of individual materials for applications. Owing to the discovery of a set of unanticipated physical phenomena, the twisted 2D vdW heterostructures have gained considerable attention recently. Here, we report enhanced valley splitting in twisted 2D vdW WSe2/CrI3 heterostructures. In particular, the splitting can be 1200% (or 5.18 meV) of the value for a non-twisted heterostructure. According to the k·p model, this value is equivalent to a ~20 T external magnetic field applied perpendicular to the 2D sheet. The thermodynamic stability of 2D vdW WSe2/CrI3 heterostructures, on the other hand, depends linearly on the interlayer twisting angle.
The first otologic surgery in a skull from El Pendón site (Reinoso, Northern Spain)
Authors: Díaz-Navarro Sonia , Tejedor-Rodríguez Cristina , Arcusa-Magallón Héctor , Pastor-Vázquez Juan Francisco , Santos-Pérez Jaime , Sánchez-Lite Israel , Gibaja-Bao Juan Francisco , García-González Rebeca , Rojo-Guerra Manuel 
Published: February 2022

AbstractArchaeological research in the Dolmen of El Pendón (Reinoso, Burgos, Spain) has brought to light the complex biography of a megalithic monument used throughout the 4th millennium cal. BC. The ossuary of this burial holds the bones of nearly a hundred individuals who suffered from diverse pathologies and injuries. This study presents the discovery of a skull with two bilateral perforations on both mastoid bones. These evidences point to a mastoidectomy, a surgical procedure possibly performed to relieve the pain this prehistoric individual may have suffered as a result of otitis media and mastoiditis. The hypothesis of surgical intervention is also supported by the presence of cut marks at the anterior edge of the trepanation made in the left ear. Furthermore, the results of this paper demonstrate the survival of the individual to both interventions. Given the chronology of this dolmen, this find would be the earliest surgical ear intervention in the history of mankind.
Association between type 2 diabetes and amyotrophic lateral sclerosis
Authors: Zhang Linjing , Tang Lu , Huang Tao , Fan Dongsheng 
Published: February 2022

AbstractType 2 diabetes (T2D) and amyotrophic lateral sclerosis (ALS) are associated consistently. However, it is currently unknown whether this association is causal. We aimed to estimate the unconfounded, causal association between T2D on ALS using a two-sample Mendelian randomization approach both in European and East Asian ancestry. Genetic variants strongly associated with T2D and each T2D markers were used to investigate the effect of T2D on ALS risk in European (involving 20,806 ALS cases and 59,804 controls) and East Asian (involving 1234 ALS cases and 2850 controls) ancestry. We found that the OR of ALS per 1 SD increase in T2D was estimated to be 0.96 [95% confidence interval (CI) 0.92–0.996; p = 0.03] in European populations. Similarly, all 8 SNPs were associated with T2D in East Asian ancestry, the OR of ALS per 1 SD increase in T2D was estimated to be 0.83 [95% CI 0.70–0.992; p = 0.04] in East Asian populations. Examining the intercept estimates from MR-Egger regression also leads to the same conclusion, in that horizontal pleiotropy unlikely influences the results in either population. We found that genetically predicted T2D was associated with significantly lower odds of amyotrophic lateral sclerosis both in European and East Asian populations. It is now critical to identify a clear molecular explanation for this association between T2D and ALS and to focus on its potential therapeutic implications.
Association between long noncoding RNA rs944289 and rs7990916 polymorphisms and the risk of colorectal cancer in a Chinese population
Authors: Wang Yan , Qiu Zhiyuan , Tian Guangyu , Zhu Qianqian , Zhang Zhao , Qin Rong , Peng Yong , Tang Weifeng , Zhang Sheng , Xi Yan 
Published: February 2022

AbstractLong non-coding RNAs (LncRNAs) play vital roles in the tumorigenesis of many cancers. Single nucleotide polymorphisms (SNPs) of the lncRNA also play vital roles in tumorigenesis. We explored lncRNA rs944289 and rs7990916 polymorphisms and analyzed the relationship between these lncRNA polymorphisms with the colorectal cancer (CRC) risk in a Chinese population. We recruited 1003 CRC patients from the Affiliated People’s Hospital of Jiangsu University and the Fujian Medical University Union Hospital from October 2014 to August 2017. Genomic DNA was extracted using a DNA Kit from lymphocytes of peripheral blood and the genotyping was performed with a SNPscan method. We found that the rs944289 TT homozygote was associated with the decreased CRC risk in the overall population. LncRNA rs944289 TT decreased the CRC risk in the subgroup of female, male, age ≥ 61, without alcohol intake, smoking and BMI ≥ 24 by logistic regression. The subgroup analysis revealed that lncRNA rs7990916 was not associated with CRC risk except for age < 61. Logistic regression analysis revealed that lncRNA rs944289 TT homozygote was associated with the increased risk of rectum cancer (TT vs. CC + CT: adjusted OR = 1.29, 95% CI 1.10–1.66, P = 0.041) or colon cancer. In summary, we proved that lncRNA rs944289 might be significantly related to the decreased CRC risk in the Chinese Han populations and lncRNA rs7990916 was not associated with the CRC risk except for patients of age < 61. In the future, studies with larger samples should be conducted to validate our results.
Understanding the structure and composition of recalcitrant oligosaccharides in hydrolysate using high-throughput biotin-based glycome profiling and mass spectrometry
Authors: Xue Saisi , Pattathil Sivakumar , da Costa Sousa Leonardo , Ubanwa Bryan , Dale Bruce , Jones A. Daniel , Balan Venkatesh 
Published: February 2022

AbstractNovel Immunological and Mass Spectrometry Methods for Comprehensive Analysis of Recalcitrant Oligosaccharides in AFEX Pretreated Corn Stover. Lignocellulosic biomass is a sustainable alternative to fossil fuel and is extensively used for developing bio-based technologies to produce products such as food, feed, fuel, and chemicals. The key to these technologies is to develop cost competitive processes to convert complex carbohydrates present in plant cell wall to simple sugars such as glucose, xylose, and arabinose. Since lignocellulosic biomass is highly recalcitrant, it must undergo a combination of thermochemical treatment such as Ammonia Fiber Expansion (AFEX), dilute acid (DA), Ionic Liquid (IL) and biological treatment such as enzyme hydrolysis and microbial fermentation to produce desired products. However, when using commercial fungal enzymes during hydrolysis, only 75–85% of the soluble sugars generated are monomeric sugars, while the remaining 15–25% are soluble recalcitrant oligosaccharides that cannot be easily utilized by microorganisms. Previously, we successfully separated and purified the soluble recalcitrant oligosaccharides using a combination of charcoal and celite-based separation followed by size exclusion chromatography and studies their inhibitory properties on enzymes. We discovered that the oligosaccharides with higher degree of polymerization (DP) containing methylated uronic acid substitutions were more recalcitrant towards commercial enzyme mixtures than lower DP and neutral oligosaccharides. Here, we report the use of several complementary techniques that include glycome profiling using plant biomass glycan specific monoclonal antibodies (mAbs) to characterize sugar linkages in plant cell walls and enzymatic hydrolysate, matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF-MS) using structurally-informative diagnostic peaks offered by negative ion post-secondary decay spectra, gas chromatography followed by mass spectrometry (GC–MS) to characterize oligosaccharide sugar linkages with and without derivatization. Since oligosaccharides (DP 4–20) are small, it is challenging to mobilize these molecules for mAbs binding and characterization. To overcome this problem, we have applied a new biotin-coupling based oligosaccharide immobilization method that successfully tagged most of the low DP soluble oligosaccharides on to a micro-plate surface followed by specific linkage analysis using mAbs in a high-throughput system. This new approach will help develop more advanced versions of future high throughput glycome profiling methods that can be used to separate and characterize oligosaccharides present in biomarkers for diagnostic applications.
Tofacitinib and metformin reduce the dermal thickness and fibrosis in mouse model of systemic sclerosis
Authors: Karatas Ahmet , Oz Burak , Celik Cigdem , Akar Zeynel Abidin , Akkoc Ramazan Fazil , Etem Ebru Onalan , Dagli Adile Ferda , Koca Suleyman Serdar 
Published: February 2022

AbstractJanus kinase (JAK)-signal transducer and activator of transcription (STAT) pathway is important in the process of inflammation and fibrosis. The adenosine 5′-monophosphate-activated protein kinase (AMPK) enzyme can affect JAK/STAT pathway. Tofacitinib is a pan-JAK inhibitör. Metformin activates AMPK enzyme. We aimed to investigate the therapeutic efficacy of tofacitinib and metformin on IL-17 and TGF-β cytokines, skin fibrosis and inflammation in mouse model of systemic sclerosis (SSc). 40 Balb/c female mice were divided into 4 groups: (control, sham (BLM), tofacitinib and metformin). The mice in the tofacitinib group received oral tofacitinib (20 mg/kg/daily) and mice in the metformin group received oral metformin (50 mg/kg/day) for 28 days. At the end of 4th week, all groups of mice were decapitated and tissue samples were taken for analysis. Histopathological analysis of skin tissue was performed, and mRNA expressions of collagen 3A, IL-17 and TGF-β were assessed by real-time PCR and ELISA. Repeated BLM injections had induced dermal fibrosis. Moreover, the tissue levels of collagen 3A, IL-17 and TGF-β were elevated in the BLM group. Tofacitinib and metformin mitigated dermal fibrosis. They reduced dermal thickness and tissue collagen 3A, IL-17 and TGF-β levels. Tofacitinib and metformin demonstrated anti-inflammatory and anti-fibrotic effects in the mouse model of SSc.
Deep learning in image-based breast and cervical cancer detection: a systematic review and meta-analysis
Authors: Xue Peng , Wang Jiaxu , Qin Dongxu , Yan Huijiao , Qu Yimin , Seery Samuel , Jiang Yu , Qiao Youlin 
Published: February 2022

AbstractAccurate early detection of breast and cervical cancer is vital for treatment success. Here, we conduct a meta-analysis to assess the diagnostic performance of deep learning (DL) algorithms for early breast and cervical cancer identification. Four subgroups are also investigated: cancer type (breast or cervical), validation type (internal or external), imaging modalities (mammography, ultrasound, cytology, or colposcopy), and DL algorithms versus clinicians. Thirty-five studies are deemed eligible for systematic review, 20 of which are meta-analyzed, with a pooled sensitivity of 88% (95% CI 85–90%), specificity of 84% (79–87%), and AUC of 0.92 (0.90–0.94). Acceptable diagnostic performance with analogous DL algorithms was highlighted across all subgroups. Therefore, DL algorithms could be useful for detecting breast and cervical cancer using medical imaging, having equivalent performance to human clinicians. However, this tentative assertion is based on studies with relatively poor designs and reporting, which likely caused bias and overestimated algorithm performance. Evidence-based, standardized guidelines around study methods and reporting are required to improve the quality of DL research.
A deep learning-based toolbox for Automated Limb Motion Analysis (ALMA) in murine models of neurological disorders
Authors: Aljovic Almir , Zhao Shuqing , Chahin Maryam , de la Rosa Clara , Van Steenbergen Valerie , Kerschensteiner Martin , Bareyre Florence M. 
Published: February 2022

AbstractIn neuroscience research, the refined analysis of rodent locomotion is complex and cumbersome, and access to the technique is limited because of the necessity for expensive equipment. In this study, we implemented a new deep learning-based open-source toolbox for Automated Limb Motion Analysis (ALMA) that requires only basic behavioral equipment and an inexpensive camera. The ALMA toolbox enables the consistent and comprehensive analyses of locomotor kinematics and paw placement and can be applied to neurological conditions affecting the brain and spinal cord. We demonstrated that the ALMA toolbox can (1) robustly track the evolution of locomotor deficits after spinal cord injury, (2) sensitively detect locomotor abnormalities after traumatic brain injury, and (3) correctly predict disease onset in a multiple sclerosis model. We, therefore, established a broadly applicable automated and standardized approach that requires minimal financial and time commitments to facilitate the comprehensive analysis of locomotion in rodent disease models.
Early Childhood Professionals' Management of Young Children Who Stutter: A Cross-Sectional Study
Authors: Kefalianos Elaina , Guttormsen Linn Stokke , Hansen Elisabeth Holm , Hofslundsengen Hilde Christine , Næss Kari-Anne Bottegård , Antypas Konstantinos , Kirmess Melanie 
Published: February 2022

Purpose:
Early childhood professionals must accurately identify, refer, and treat children who stutter (CWS) within the scope of their respective roles to ensure each child receives the best possible care. This study aimed to investigate similarities and differences between the practices of speech-language pathologists (SLPs), preschool teachers, and public health nurses when they initially meet a young child reported as stuttering.

Method:
This cross-sectional study was conducted in Norway. A sample of 342 early childhood professionals (126 preschool teachers, 95 public health nurses, and 121 SLPs) completed an online survey about their management practices with young children reported as stuttering. Descriptive statistics, ordinal regression, and chi-square analyses were used to analyze data.

Results:
Initial management practices reflected the different roles and competencies of each profession. Less than 15% of SLPs reported they have access to guidelines for working with CWS. This figure was even lower for public health nurses (6.5%) and preschool teachers (12%). The most common recommendations provided to parents by all professions was giving the child time to talk and maintaining eye contact. Each profession's referral for further speech-language pathology management was most commonly influenced by stuttering severity. All professions reported collaborating about management of CWS; the most common reported collaboration was with preschool teachers.

Conclusions:
Initial management practices varied between professions; however, differences largely reflected the roles and competencies of each profession. The development of guidelines and interdisciplinary seminars is recommended to develop a more complementary approach across professions to improve management practices and ensure young CWS receive the best possible care.
Black hole virial masses from single-epoch photometry
Authors: Chaves-Montero J. , Bonoli S. , Trakhtenbrot B. , Fernández-Centeno A. , Queiroz C. , Díaz-García L. A. , González Delgado R. M. , Hernán-Caballero A. , Hernández-Monteagudo C. , Lópen-Sanjuan C. , Overzier R. , Sobral D. , Abramo L. R. , Alcaniz J. , Benitez N. , Carneiro S. , Cenarro A. J. , Cristóbal-Hornillos D. , Dupke R. A. , Ederoclite A. , Marín-Franch A. , Mendes de Oliveira C. , Moles M. , Sodré L. , Taylor K. , Varela J. , Vázquez Ramió H. , Civera T. 
Published: February 2022

Context. Precise measurements of black hole masses are essential to understanding the coevolution of these sources and their host galaxies.
Aims. We develop a novel approach for computing black hole virial masses using measurements of continuum luminosities and emission line widths from partially overlapping, narrow-band observations of quasars; we refer to this technique as single-epoch photometry.
Methods. This novel method relies on forward-modelling quasar observations for estimating emission line widths, which enables unbiased measurements even for lines coarsely resolved by narrow-band data. We assess the performance of this technique using quasars from the Sloan Digital Sky Survey (SDSS) observed by the miniJPAS survey, a proof-of-concept project of the Javalambre Physics of the Accelerating Universe Astrophysical Survey (J-PAS) collaboration covering ≃1 deg2 of the northern sky using the 56 J-PAS narrow-band filters.
Results. We find remarkable agreement between black hole masses from single-epoch SDSS spectra and single-epoch miniJPAS photometry, with no systematic difference between these and a scatter ranging from 0.4 to 0.07 dex for masses from log(MBH)≃8 to 9.75, respectively. Reverberation mapping studies show that single-epoch masses present approximately 0.4 dex precision, letting us conclude that our novel technique delivers black hole masses with only mildly lower precision than single-epoch spectroscopy.
Conclusions. The J-PAS survey will soon start observing thousands of square degrees without any source preselection other than the photometric depth in the detection band, and thus single-epoch photometry has the potential to provide details on the physical properties of quasar populations that do not satisfy the preselection criteria of previous spectroscopic surveys.
Optimal error estimates of a Crank–Nicolson finite element projection method for magnetohydrodynamic equations
Authors: Wang Cheng , Wang Jilu , Xia Zeyu , Xu Liwei 
Published: February 2022

In this paper, we propose and analyze a fully discrete finite element projection method for the magnetohydrodynamic (MHD) equations. A modified Crank–Nicolson method and the Galerkin finite element method are used to discretize the model in time and space, respectively, and appropriate semi-implicit treatments are applied to the fluid convection term and two coupling terms. These semi-implicit approximations result in a linear system with variable coefficients for which the unique solvability can be proved theoretically. In addition, we use a second-order decoupling projection method of the Van Kan type [Van Kan, SIAM J. Sci. Statist. Comput. 7 (1986) 870–891] in the Stokes solver, which computes the intermediate velocity field based on the gradient of the pressure from the previous time level, and enforces the incompressibility constraint via the Helmholtz decomposition of the intermediate velocity field. The energy stability of the scheme is theoretically proved, in which the decoupled Stokes solver needs to be analyzed in details. Error estimates are proved in the discrete L∞(0, T; L2) norm for the proposed decoupled finite element projection scheme. Numerical examples are provided to illustrate the theoretical results.