bluuebunny/crossref_metadata_2025_split huggingface dataset:
Per-oral pancreatoscopy with intraductal lithotripsy for difficult pancreatic duct stones: a systematic review and meta-analysis
Authors: McCarty Thomas R. , Sobani Zain , Rustagi Tarun 
Published: November 2020

Abstract
Background and study aims Per-oral pancreatoscopy (POP) with intraductal lithotripsy via electrohydraulic lithotripsy (EHL) or laser lithotripsy (LL) facilitates optically-guided stone fragmentation of difficult pancreatic stones refractory to conventional endoscopic therapy. The aim of this study was to perform a systematic review and meta-analysis to evaluate the efficacy and safety of POP with intraductal lithotripsy for difficult pancreatic duct stones.
Methods Individualized search strategies were developed in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses and Meta-analysis of Observational Studies in Epidemiology guidelines. This was a cumulative meta-analysis performed by calculating pooled proportions with rates estimated using random effects models. Measured outcomes included pooled technical success, complete or partial stone fragmentation success, complete duct clearance after initial lithotripsy session, and adverse events (AEs).
Results Ten studies (n = 302 patients; 67.72 % male; mean age 55.10 ± 3.22 years) were included with mean stone size of 10.66 ± 2.19 mm. The most common stone location was in the pancreatic head (66.17 %). Pooled technical success was 91.18 % with an overall fragmentation success of 85.77 %. Single lithotripsy session stone fragmentation and pancreatic duct clearance occurred in 62.05 % of cases. Overall, adverse events were reported in 14.09 % of patients with post-procedure pancreatitis developing in 8.73 %. Of these adverse events, 4.84 % were classified as serious. Comparing POP-EHL vs POP-LL, there was no significant difference in technical success, fragmentation success, single session duct clearance, or AEs (P > 0.0500).
Conclusions Based on this systematic review and meta-analysis, POP with intraductal lithotripsy appears to be an effective and relatively safe procedure for patients with difficult to remove pancreatic duct stones.
High prevalence of musculoskeletal symptoms and injuries in third space endoscopists: an international multicenter survey
Authors: Han Samuel , Hammad Hazem T. , Wagh Mihir S. 
Published: November 2020

Abstract
Background and study aims Third space endoscopy (TSE), including per-oral endoscopic myotomy and endoscopic submucosal dissection, is technically challenging and physically demanding. The aim of this study was to assess the prevalence and types of musculoskeletal symptoms and injuries (MSI) in third space endoscopists and its impact on clinical practice.
Materials, Patients and methods A 22-item survey measuring endoscopist characteristics, procedure volumes, MSI, and its effect on clinical practice was distributed to endoscopists practicing TSE. Descriptive statistics were used to depict MSI. Logistic regression was used to identify predictors for MSI related to TSE.
Results The survey was completed by 45 of 110 endoscopists (40.9 %) who received the survey, representing 10 countries across four continents. Thirty-one (69 %) endoscopists reported current MSI with 71 % (n = 22/31) believing these began after starting TSE, and 48.9 % (22/45) reporting more symptoms after TSE compared to endoscopic ultrasound/endoscopic retrograde cholangiopancreatography. Common MSI included the shoulders (42.2 %), back (37.8 %), neck (33.3 %), and wrist (24.4 %). Lower extremity MSI were also reported with foot symptoms (11.1 %) being most common. A minority required disability (2.2 %), change in endoscopy scheduling (6.7 %) or surgery (2.2 %). Only 15.6 % of endoscopists had received prior ergonomics training. Logistic regression revealed no significant predictors for MSI.
Conclusions Over two-thirds of endoscopists performing TSE suffer from MSI, with many reporting onset of their symptoms after starting TSE in their practice. Further studies are needed to understand and reduce the risk of MSI in TSE given the growing demand for these procedures and the potential long-term impact of this occupational hazard.
Ecosystem service bundle index construction, spatiotemporal dynamic display, and driving force analysis
Authors: Hong Yiyuan , Ding Qian , Zhou Ting , Kong Lingqiao , Wang Meiye , Zhang Jianying , Yang Wu 
Published: November 2020

ABSTRACT

Introduction
: Existing studies on ecosystem service relationships are mainly qualitative or semi-quantitative assessments, but lack of quantitative exploration of aggregated ecosystem services and their influencing factors. We mapped the distributions of 12 ecosystem services of Zhejiang Province in 2000 and 2015 at the district and county level, analyzed their relationships using Spearman’s correlation analysis, constructed ecosystem service bundle index (ESBI) for each district and county by structural equation model, and then through multiple linear regression, we explored factors associated with ESBI variations.

Outcomes
: Our results showed that (1) most ecosystem services were spatially clustered. There were synergies between individual ecosystem services in categories of provisioning and regulating services, respectively; (2) our proposed ESBI index system consists of overall index and sub-indices of provisioning, regulating, and cultural services. The higher the ESBI value, the more important the corresponding place for multiple aggregated ecosystem service provision. Compared to 2000, ESBI in 2015 distributed more unevenly, and the average dropped by 3.10%; and (3) the increase of ESBI was associated with its initial value, and four socioeconomic and natural factors; the decrease of ESBI was influenced by the initial value and six key socioeconomic factors.

Discussion and Conclusion
: Our proposed ESBI system has several advantages (e.g., scale free, flexible weighting, quantitative and continuous indices for further analyses, and alternative non-monetary solution) in understanding and managing relationships among multiple ecosystem services.
The eccentricity enhancement effect of intermediate-mass-ratio-inspirals: dark matter and black hole mass *
Authors: Tang Meirong , Xu Zhaoyi , Wang Jiancheng 
Published: November 2020

Abstract
It was found that dark matter (DM) in an intermediate-mass-ratio-inspiral (IMRI) system has a significant enhancement effect on the orbital eccentricity of a stellar massive compact object, such as a black hole (BH), which may be tested by space-based gravitational wave (GW) detectors, including LISA, Taiji, and Tianqin in future observations. In this paper, we study the enhancement effect of the eccentricity for an IMRI under different DM density profiles and center BH masses. Our results are as follows: (1) in terms of the general DM spike distribution, the enhancement of the eccentricity is basically consistent with the power-law profile, which indicates that it is reasonable to adopt the power-law profile; (2) in the presence of a DM spike, the different masses of the center BH will affect the eccentricity, which provides a new way for us to detect the BH's mass; and (3) considering the change in the eccentricity in the presence and absence of a DM spike, we find that it is possible to distinguish DM models by measuring the eccentricity at a scale of approximately

.
Improved empirical formula for α particle preformation factor *
Authors: He Yan , Yu Xuan , Zhang Hong-Fei 
Published: November 2020

Abstract
In this contribution, the

preformation factors of 606 nuclei are extracted within the framework of the generalized liquid drop model (GLDM). Through the systematic analysis of the

preformation factors of even-even Po-U isotopes, we found that there is a significant weakening of influence of

shell closure in uranium, which is consistent with the results of a recent experiment [J. Khuyagbaatar et al., Phys. Rev. Lett. 115, 242502 (2015)], implying that

may not be the magic number for U isotopes. Furthermore, we propose an improved formula with only 7 parameters to calculate

preformation factors suitable for all types of

-decay; it has fewer parameters than the original formula proposed by Zhang et al. [H. F. Zhang et al., Phys. Rev. C 80, 057301 (2009)] with higher precision. The standard deviation of the

preformation factors calculated by our formula with extracted values for all 606 nuclei is 0.365 with a factor of 2.3, indicating that our improved formula can accurately reproduce the

preformation factors. Encouraged by this, the

-decay half-lives of actinide elements are predicted, which could be useful in future experiments. Notably, the predicted

-decay half-lives of two new isotopes

Np [Z. Y. Zhang, et al., Phys. Rev. Lett. 122, 192503 (2019)] and

Np [H. B. Yang et al., Phys. Lett. B 777, 212 (2018)] are in good agreement with the experimental

-decay half-lives.
Large scale analysis of generalization error in learning using margin based classification methods
Authors: Huang Hanwen , Yang Qinglong 
Published: November 2020

Abstract
Large-margin classifiers are popular methods for classification. We derive the asymptotic expression for the generalization error of a family of large-margin classifiers in the limit of both sample size n and dimension p going to ∞ with fixed ratio α = n/p. This family covers a broad range of commonly used classifiers including support vector machine, distance weighted discrimination, and penalized logistic regression. Our result can be used to establish the phase transition boundary for the separability of two classes. We assume that the data are generated from a single multivariate Gaussian distribution with arbitrary covariance structure. We explore two special choices for the covariance matrix: spiked population model and two layer neural networks with random first layer weights. The method we used for deriving the closed-form expression is from statistical physics known as the replica method. Our asymptotic results match simulations already when n, p are of the order of a few hundreds. For two layer neural networks, we reproduce the recently observed ‘double descent’ phenomenology for several classification models. We also discuss some statistical insights that can be drawn from these analysis.
Protection effect of overwintering water bird habitat and defining the conservation priority area in Poyang Lake wetland, China
Authors: Sun Chuanzhun , König Hannes J , Uthes Sandra , Chen Cheng , Li Peng , Hemminger Karoline 
Published: November 2020

Abstract
Biodiversity conservation is one of the most important objectives of protected areas. Most biodiversity assessment-related studies use the change in species abundance data to measure the level of biodiversity conservation. Yet for many areas, long-term species data are not available and thus it is necessary to use biodiversity indices to monitor the effect of land use (LU) changes or the impact of protected area establishment. Poyang Lake wetland is one of the most important wintering sites for migratory water birds on the East Asian–Australasian flyway. To protect this habitat, 14 nature reserves were created in the region between 1997 and 2003. This paper aims to assess the effect of nature reserve creation on the status of habitat for overwintering water birds in Poyang Lake wetland by analysing LU and land cover data from 1995, 2005 and 2015. We developed a composite biodiversity index to search for current biodiversity hotspots (conservation priority) in the study area. An integrated approach consisting of the Integrated Valuation of Ecosystem Services and Trade-offs model, GIS, fragment analysis and hotspot analysis was used to realize our objective. Our results showed that the creation of the nature reserve had positive effects on overwintering water bird habitat. However, tremendous changes (such as change of habitat area, quality and fragmentation) within and outside the nature reserve showed that the role of protected area still needs to be further discussed. Moreover, regional synthesis LU management plans such as ecological restoration should be carried out. The results of the habitat assessment also indicate that a comprehensive biodiversity index framework based on net primary productivity, habitat connectivity and habitat quality could be more efficient in assessing biodiversity and defining a reasonable protected area, from data obtain in large scale perspective.
Internal friction evidence of phase transformations of Fe-Al elemental powders during sintering process
Authors: Hao Gangling , Li Yuchuan , Wang Xingfu , Wang Weiguo , Wang Xinfu , Wang Dan 
Published: November 2020

Abstract
Internal friction combined with SEM, DSC and XRD measurements was first applied so far to investigate phase transformation behaviors of Fe-Al elemental powders. Special attentions are concentrated on the influence of mechanical ball-milling on microstructure transition during sintering process. A tailored solid solution degree of the Fe-Al powder mixture can be obtained by mechanical ball-milling for different time. Four typical internal friction peaks are observed as termed P1, P2, P3 and P4 peak respectively for Fe-Al ball-milled powder compact. While for no ball-milled one, only P2 and P4 peaks appear. It was rationalized that the four internal friction peaks are probably associated with the formation of FeAl3, Fe2Al5, FeAl2 and FeAl respectively because of solid diffusion reaction during sintering process. In addition, increasing ball-milling time results in enhancement of solid solution degree owing to refined powder particle and substructure as well as increased solid defect density and interfacial area, and thus phase transformation and corresponding internal friction peaks shift to a lower temperature. The absence of two internal friction peaks in no ball-milled one is ascribed to lower solid solution degree.
Effect of Mn3+ doping on the loss of Li0.37Zn0.26Ti0.12Fe2.37O4 ferrite
Authors: Li Aya 
Published: November 2020

Abstract
In this paper, a series of the gyromagnetic ferrite Li0.43Zn0.26Ti0.12MnxFe2.19−xO4 (x = 0–0.14) samples were prepared with the solid-phase reaction sintering method. The influences of Mn3+ doping on the microscopic morphology, ferromagnetic resonance linewidth, and microwave dielectric loss of LiZnTi ferrite were investigated. Doping in an appropriate amount of Mn3+ will reduce the saturation magnetization of the sample and the magnetocrystalline anisotropy of the ferrite. It also inhibited the generation of Fe2+ and reduced the porosity, to the benefit of keeping the ferromagnetic resonance linewidth (ΔH) of the material and microwave dielectric loss at a low level. The results suggested that when the doping amount of Mn3+ is 0.08, the ferromagnetic resonance linewidth of the material is 27.8 × 103 A m−1, the microwave dielectric loss tangent tanδ
ε equals to 0.001, and the B-H hysteresis loop remanence ratio of the sample reaches 0.87, which is a beneficial application in lock-type microwave ferrite devices.
Validation and Norms for a Recognition Task for the Spanish Version of the Free and Cued Selective Reminding Test
Authors: Bonete-López Beatriz , Oltra-Cucarella Javier , Marín Marta , Antón Carolina , Balao Nerea , López Elena , Macià Esther Sitges 
Published: November 2020

Abstract

Objective
The aim of the present work was to develop and validate a recognition task to be used with the Spanish version of the 16 items Free and Cued Selective Reminding Test (FCSRT).

Method
A total of 96 (67.7% women) cognitively healthy, functionally independent community-dwelling participants aged 55 years or older underwent a comprehensive neuropsychological assessment. A recognition task for the FCSRT was developed that included the original 16 items, 16 semantically related items, and eight unrelated foils. Indices of discriminability (d’) and response bias (C), as well as 95% confidence intervals for chance-level responding were calculated.

Results
On average, our sample was 65.71 years old (SD = 6.68, range: 55–87), had 11.39 years of formal education (SD = 3.37, range: 3–19), and a Mini-Mental State Examination score = 28.42 (SD = 1.49, range: 25–30). Recognition scores did not differ statistically between sexes, nor did they correlate with demographics. Participants scored at ceiling levels (mean number of Hits = 15.52, SD = 0.906, mean number of False Alarms = 0.27, SD = 0.589). All the participants scored above chance levels.

Conclusions
Normative data from a novel recognition task for the Spanish version of the FCSRT are provided for use in clinical and research settings. Including a recognition task in the assessment of memory functioning might help uncover the pattern of memory impairments in older adults, and can help improve the memory profile of people with amnestic Mild Cognitive Impairment. Future research is warranted to validate and expand the recognition task.
ProteoCombiner: integrating bottom-up with top-down proteomics data for improved proteoform assessment
Authors: Lima Diogo B , Dupré Mathieu , Duchateau Magalie , Gianetto Quentin Giai , Rey Martial , Matondo Mariette , Chamot-Rooke Julia 
Published: November 2020

Abstract

Motivation
We present a high-performance software integrating shotgun with top-down proteomic data. The tool can deal with multiple experiments and search engines. Enable rapid and easy visualization, manual validation and comparison of the identified proteoform sequences including the post-translational modification characterization.

Results
We demonstrate the effectiveness of our approach on a large-scale Escherichia coli dataset; ProteoCombiner unambiguously shortlisted proteoforms among those identified by the multiple search engines.

Availability and implementation
ProteoCombiner, a demonstration video and user tutorial are freely available at https://proteocombiner.pasteur.fr, for academic use; all data are thus available from the ProteomeXchange consortium (identifier PXD017618).

Supplementary information
Supplementary data are available at Bioinformatics online.
MONACO: accurate biological network alignment through optimal neighborhood matching between focal nodes
Authors: Woo Hyun-Myung , Yoon Byung-Jun 
Published: November 2020

AbstractMotivationAlignment of protein–protein interaction networks can be used for the unsupervised prediction of functional modules, such as protein complexes and signaling pathways, that are conserved across different species. To date, various algorithms have been proposed for biological network alignment, many of which attempt to incorporate topological similarity between the networks into the alignment process with the goal of constructing accurate and biologically meaningful alignments. Especially, random walk models have been shown to be effective for quantifying the global topological relatedness between nodes that belong to different networks by diffusing node-level similarity along the interaction edges. However, these schemes are not ideal for capturing the local topological similarity between nodes.ResultsIn this article, we propose MONACO, a novel and versatile network alignment algorithm that finds highly accurate pairwise and multiple network alignments through the iterative optimal matching of ‘local’ neighborhoods around focal nodes. Extensive performance assessment based on real networks as well as synthetic networks, for which the ground truth is known, demonstrates that MONACO clearly and consistently outperforms all other state-of-the-art network alignment algorithms that we have tested, in terms of accuracy, coherence and topological quality of the aligned network regions. Furthermore, despite the sharply enhanced alignment accuracy, MONACO remains computationally efficient and it scales well with increasing size and number of networks.Availability and implementationMatlab implementation is freely available at https://github.com/bjyoontamu/MONACO.Supplementary informationSupplementary data are available at Bioinformatics online.
Using Spectrum-Effect Relationships Coupled with LC–TOF–MS to Screen Anti-arrhythmic Components of the Total Flavonoids in Hypericum attenuatum Extracts
Authors: Feng Yufei , Teng Lin , Wang Yanli , Gao Yanyu , Ma Yuxuan , Zhou Haichun , Cai Guofeng , Li Ji 
Published: November 2020

Abstract
This research explored the HPLC fingerprints of Hypericum attenuatum Choisy, which has anti-arrhythmic activity. HPLC was adopted to perform a determination of chemical fingerprints of H. attenuatum specimens acquired through seven distinct sources. The anti-arrhythmic activity of each H. attenuatum sample was obtained through pharmacodynamics experiments in animals. A regression analysis and correlation analysis were utilized to calculate the relationship of the peak and pharmacological effectiveness with the identified peak. Peaks numbered 5, 7, 13 and 14 in the fingerprint were regarded as the likely anti-arrhythmic agents. The fingerprint was compared with reference standards for identification of the correlative peaks. Liquid chromatography–time-of-flight–mass spectrometry was applied to identify its structure. As a consequence, a universal model was established for the utilization of HPLC to investigate anti-arrhythmic activity and the spectrum-effect relationship among H. attenuatum. This model is available for the discovery of the major bioactive constituents of Hypericum.
Nickel Ferrite Nanoparticles as an Adsorbent for Immobilized Metal Affinity Chromatography of Proteins
Authors: Kannan Kayambu , Mukherjee Joyeeta , Mishra Prashant , Gupta Munishwar N 
Published: November 2020

Abstract
A simple method of preparing amorphous nickel ferrite nanoparticles of about 5 nm diameter is described. These particles were characterized by dynamic light scattering (DLS), Fourier transform infrared spectroscopy (FT-IR), transmission electron microscopy (TEM) and selected area electron diffraction (SAED). The nanoparticles were evaluated for their use as a magnetic material for immobilized metal affinity chromatography (IMAC). The ferrite nanoparticles bound to bovine serum albumin (BSA) and the binding fitted Langmuir isotherm model. A high capacity of 916 mg BSA/g dried nanoparticle was observed. Six proteins (Soybean trypsin inhibitor (STI), lactate dehydrogenase (LDH), papain, catalase, β-galactosidase and casein) were used and all were found to bind at &gt;90% level (except papain which showed 84% binding). All the proteins except LDH and β-galactosidase could be eluted with 1 M imidazole and with % activity recovery of &gt;80%. Papain could be purified from its dried crude latex by 5-fold and purified papain showed a single band on SDS-PAGE. These nanoparticles constitute a high capacity and are magnetic material useful for IMAC and do not require any pre-functionalization.