bluuebunny/crossref_metadata_2025_split huggingface dataset:
Role of Mixed Layer Depth in the Location and Development of the Northeast Pacific Warm Blobs
Authors: Shi Jian , Tang Cong , Liu Qinyu , Zhang Yu , Yang Haocheng , Li Chun 
Published: August 2022

AbstractWarm blobs are persistent warm anomalies in the Northeast Pacific (NEP) upper ocean. Here, we assess the role of mixed layer depth (MLD) in their location and development based on ocean‐atmosphere reanalysis data. We find that warm blobs occur more frequently over 165°–130°W and 35°–50°N with shallow MLD. They are largely confined to the mixed layer, although substantial portions exist beneath it in summer when the MLD shoals. Based on a mixed‐layer heat budget analysis, we reveal that anomalous MLD and heat flux contribute dominantly to the surface heat flux term over the study area from May to July and from September to March, respectively, and have a large effect on warm blob development. Therefore, the MLD has important implications for the location and seasonal evolution of warm blobs and temperature diagnosis over the NEP.
Spatiotemporal Clustering of Paleoseismicity in the Walker Lane, USA: An Extensional Supercycle?
Authors: Pierce Ian K. D. 
Published: August 2022

AbstractAt least five surface rupturing earthquakes that occurred during a <300 year time span near Carson City, Nevada, USA form a spatiotemporal cluster of earthquakes similar to those observed on fault systems around the world. These earthquakes exhibit not only temporal clustering behavior, but also have varying rupture boundaries during successive earthquakes. The Carson Range Fault System is a series of east‐dipping normal faults that extend ∼100 km southwards from Reno, Nevada. Previously published paleoseismic and lidar data spanning this system provide evidence of five surface rupturing earthquakes that occurred across the Carson Range Fault System during the last 2,500 years. The three most recent of these earthquakes occurred from 800 to 500 cal ybp, and two other earthquakes occurred on the nearby Incline Village and East Carson Valley faults during this time. Together these five Mw6.4–7.3 earthquakes form a spatiotemporal cluster or supercycle.
Nightside Plasmaspheric Plume‐To‐Core Migration of Whistler‐Mode Hiss Waves
Authors: Wu Zhiyong , Su Zhenpeng , Goldstein Jerry , Liu Nigang , He Zhaoguo , Zheng Huinan , Wang Yuming 
Published: August 2022

AbstractWhistler‐mode hiss waves play an important role in the radiation belt electron depletion. Whether the hiss waves with significant differences in amplitude and propagation direction within the plasmaspheric core and plume are related to each other remains unclear. We here show that the plasmaspheric plume facilitates the energy conversion from energetic electrons to hiss waves and then guides hiss waves into the plasmaspheric core. Three ground and space missions captured the initial formation and subsequent rotation of the plasmaspheric plume in the noon‐dusk‐midnight sector following a strong substorm. The observed hiss waves in the nightside plasmaspheric plume and core propagated oppositely but highly correlated with each other at a time lag of 4–10 s. The linear instability of energetic electrons in the plasmaspheric plume qualitatively explains the frequency‐dependence of hiss waves, and the ray‐tracing modeling reproduces the propagation direction and timing of hiss waves.
Holocene Slip Rate Along the Beng Co Fault and Dextral Strike‐Slip Extrusion of Central Eastern Tibet
Authors: Li Kang , Tapponnier Paul , Xu Xiwei , Ren Junjie , Wang Shiguang , Zhao Junxiang 
Published: August 2022

AbstractThe dearth of quantitative studies of Holocene fault slip‐rates makes kinematic modeling of crustal deformation across SE Tibet debatable. The ∼230 km long, WNW‐striking, dextral Beng Co fault (BCF) is the most prominent strike‐slip fault of southern Tibet. Using new UAV topographic data and OSL/14C dating of geomorphic markers, we measure horizontal offsets and ages of fluvial terraces/fans and lacustrine shorelines at eight sites west and east of the Beng Lake pull‐apart. Along the eastern BCF's northern branch, our measurements at two different locations are consistent with offsets of ∼4.7 ± 1.1 and ∼8.7 ± 0.7 m during the past ∼3.1–3.6 and 3.6–5.2 ka, respectively. Along the southern branch, ∼25 ± 5 m of slip have accrued since ∼9 ka. The total Holocene slip‐rate across both faults (4.2–5.4 or 4.8 ± 0.5 mm/yr), consistent with GPS/InSAR values, implies that the BCF contributes significantly to the eastward extrusion of eastern‐central Tibet. This rate is slightly larger than the lower bound of the extension rate (∼6 ± 1.8 mm/yr) recently determined across the middle Gulu rift normal fault, which splays off southwards from the southeastern tip of the BCF's southern branch. Empirical relationships suggest that the reported ∼90 km length of theMw7.7, 1951 Beng Co earthquake surface rupture is too short, which implies that the eastern BCF is immature, or requires additional, partly deep slip, along other branches of the eastern BCF. That there is no field evidence of rupturing along the western BCF in the last ∼1,000 yr indicates that the Bange County area, west of Beng Co, may be at risk of anMw ≈ 7.4? event.
Thiotepa–fludarabine–treosulfan conditioning for 2nd allogeneic HCT from an alternative unrelated donor for patients with AML: a prospective multicenter phase II trial
Authors: Finke Jürgen , Schmoor Claudia , Stelljes Matthias , Burchert Andreas , Dreger Peter , Hegenbart Ute , Wagner-Drouet Eva-Maria , Bornhäuser Martin , Sohlbach Kristina , Schub Natalie , Reicherts Christian , Kobbe Guido , Glass Bertram , Bertz Hartmut , Grishina Olga 
Published: August 2022

AbstractTherapeutic options for patients with AML relapsing after allogeneic HCT range from chemotherapy or hypomethylating agents with or without donor lymphocyte infusions to a 2nd allogeneic HCT. Available data are based on retrospective single center or registry studies. The aim of this multicenter trial was to investigate prospectively intensive conditioning with Thiotepa, Fludarabine and Treosulfan (TFT) for 2nd allogeneic HCT from an alternative unrelated donor in patients with AML relapse > 6 months after a 1st allogeneic HCT. Primary endpoint was disease-free survival (DFS) at one year after 2nd HCT. 50 patients median age 53.5 years, in CR/PR (34%) or active relapse (66%) were included. 33 of 38 patients (86.8%) with available data achieved CR 100 days post transplant. 23 patients were alive and free of relapse at primary endpoint one year after 2nd HCT (DFS rate 0.46, 95%-CI (0.32–0.61). Three-year rates of DFS, relapse, non-relapse mortality, and overall survival were 0.24, 95%-CI (0.13–0.36); 0.36 (0.25–0.52); 0.40 (0.29–0.57); and 0.24 (0.13–0.37). Second HCT with TFT conditioning is feasible and has high anti-leukemic efficacy in chemosensitive or refractory AML relapse after prior allogeneic HCT. Still, relapse rates and NRM after 2nd allogeneic HCT remain a challenge. The trial is registered in the German Clinical Trials Registry (number DRKS00005126).
Puerarin ameliorates acute lung injury by modulating NLRP3 inflammasome-induced pyroptosis
Authors: Cai Dasheng , Zhao Yue , Yu Fang 
Published: August 2022

AbstractWe commenced to analyze putative anti-pyroptosis effects of puerarin (PU) as mediated by the PP2A-HDAC1-NLRP3 pathway in acute lung injury (ALI). ALI animal and cell models were constructed, followed by treatment of PU. Then, the effect of HDAC1, PP2A, and NLRP3 on cell inflammation and pyroptosis was explored. The interaction between HDAC1 and PP2A as well as between PP2A and NLRP3 was analyzed. Our findings suggested that PU downregulated HDAC1 expression to alleviate symptoms of ALI. HDAC1 overexpression promoted inflammation induced by LPS, which reversed the inhibitory effect of PU on ALI. HDAC1 overexpression also decreased PP2A expression, suggesting that PP2A was involved in the effects of HDAC1 on LPS-induced inflammation. PP2A exerted inhibitory effects on NLRP3. Meanwhile, PU hindered the progression of ALI by silencing HDAC1 or overexpressing PP2A both in vivo and in vitro. Taken together, PU restrained pyroptosis of cells induced by NLRP3 inflammasome to abate ALI.
Data-driven models for ground and excited states for Single Atoms on Ceria
Authors: Geiger Julian , Sabadell-Rendón Albert , Daelman Nathan , López Núria 
Published: August 2022

AbstractCeria-based single-atom catalysts present complex electronic structures due to the dynamic electron transfer between the metal atoms and the semiconductor oxide support. Understanding these materials implies retrieving all states in these electronic ensembles, which can be limiting if done via density functional theory. Here, we propose a data-driven approach to obtain a parsimonious model identifying the appearance of dynamic charge transfer for the single atoms (SAs). We first constructed a database of (701) electronic configurations for the group 9–11 metals on CeO2(100). Feature Selection based on predictive Elastic Net and Random Forest models highlights eight fundamental variables: atomic number, ionization potential, size, and metal coordination, metal–oxygen bond strengths, surface strain, and Coulomb interactions. With these variables a Bayesian algorithm yields an expression for the adsorption energies of SAs in ground and low-lying excited states. Our work paves the way towards understanding electronic structure complexity in metal/oxide interfaces.
Genetic control of RNA splicing and its distinct role in complex trait variation
Authors: Qi Ting , Wu Yang , Fang Hailing , Zhang Futao , Liu Shouye , Zeng Jian , Yang Jian 
Published: August 2022

AbstractMost genetic variants identified from genome-wide association studies (GWAS) in humans are noncoding, indicating their role in gene regulation. Previous studies have shown considerable links of GWAS signals to expression quantitative trait loci (eQTLs) but the links to other genetic regulatory mechanisms, such as splicing QTLs (sQTLs), are underexplored. Here, we introduce an sQTL mapping method, ﻿testing for heterogeneity between isoform-eQTLeffects (THISTLE), with improved power over competing methods. Applying THISTLE together with a complementary sQTL mapping strategy to brain transcriptomic (n = 2,865) and genotype data, we identified 12,794 genes with cis-sQTLs at P < 5 × 10−8, approximately 61% of which were distinct from eQTLs. Integrating the sQTL data into GWAS for 12 brain-related complex traits (including diseases), we identified 244 genes associated with the traits through cis-sQTLs, approximately 61% of which could not be discovered using the corresponding eQTL data. Our study demonstrates the distinct role of most sQTLs in the genetic regulation of transcription and complex trait variation.
Classification of Parkinson’s disease and its stages using machine learning
Authors: Templeton John Michael , Poellabauer Christian , Schneider Sandra 
Published: August 2022

AbstractAs digital health technology becomes more pervasive, machine learning (ML) provides a robust way to analyze and interpret the myriad of collected features. The purpose of this preliminary work was to use ML classification to assess the benefits and relevance of neurocognitive features both tablet-based assessments and self-reported metrics, as they relate to Parkinson’s Disease (PD) and its stages [Hoehn and Yahr (H&Y) Stages 1–5]. Further, this work aims to compare perceived versus sensor-based neurocognitive abilities. In this study, 75 participants ($$n = 50$$

n
=
50

PD; $$n = 25$$

n
=
25

control) completed 14 tablet-based neurocognitive functional tests (e.g., motor, memory, speech, executive, and multifunction), functional movement assessments (e.g., Berg Balance Scale), and standardized health questionnaires (e.g., PDQ-39). Decision tree classification of sensor-based features allowed for the discrimination of PD from healthy controls with an accuracy of $$92.6\%$$

92.6
%

, and early and advanced stages of PD with an accuracy of $$73.7\%$$

73.7
%

; compared to the current gold standard tools [e.g., standardized health questionnaires ($$78.3\%$$

78.3
%

accuracy) and functional movement assessments ($$70\%$$

70
%

accuracy)]. Significant features were also identified using decision tree classification. Device magnitude of acceleration was significant in 12 of 14 tests ($$85.7\%$$

85.7
%

), regardless of test type. For classification between diagnosed and control populations, 17 motor (e.g., device magnitude of acceleration), 9 accuracy (e.g., number of correct/incorrect interactions), and 8 timing features (e.g., time to between interactions) were significant. For classification between early (H&Y Stages 1 and 2) and advanced (H&Y Stages 3, 4, and 5) stages of PD, 7 motor, 12 accuracy, and 14 timing features were significant. Finally, this work depicts that perceived functionality of individuals with PD differed from sensor-based functionalities. In early-stage PD was shown to be $$21.6\%$$

21.6
%

lower than sensor-based scores with notable perceived deficits in memory and executive function. However, individuals in advanced stages had elevated perceptions (1.57x) for executive and behavioral functions compared to early-stage populations. Machine learning in digital health systems allows for a more comprehensive understanding of neurodegenerative diseases and their stages and may also depict new features that influence the ways digital health technology should be configured.
Manual compression versus MANTA device for access management after impella removal on the ICU
Authors: Cuculi Florim , Burkart Philipp , Cioffi Giacomo , Moccetti Federico , Madanchi Mehdi , Seiler Thomas , Hess Stefanie , Wolfrum Mathias , Jeyarasa Magiliny , Meier Sonja , Kuzmiakova Silvia , Hakimi Maani , Seelos Robert , Kobza Richard , Toggweiler Stefan , Attinger-Toller Adrian , Bossard Matthias 
Published: August 2022

AbstractTo compare the safety and efficacy of manual compression versus use of the MANTA closure device for access management after Impella removal on the intensive care unit (ICU). The number of patients treated with percutaneous left ventricular assist devices (pLVAD), namely Impella and ECMO, for complex cardiac procedures or shock, is growing. However, removal of pLVAD and large bore arteriotomy closure among such patients on the ICU remains challenging, since it is associated with a high risk for bleeding and vascular complications. Patients included in a prospective registry between 2017 and 2020 were analyzed. Bleeding and vascular access site complications were assessed and adjudicated according to VARC-2 criteria. We analyzed a cohort of 87 consecutive patients, who underwent access closure after Impella removal on ICU by using either the MANTA device or manual compression. The cohort´s mean age was 66.1 ± 10.7 years and 76 patients (87%) were recovering from CS. Mean support time was 40 h (interquartile range 24–69 h). MANTA was used in 31 patients (35.6%) and manual compression was applied in 56 patients (64.4%). Overall access related bleedings were significantly lower in the MANTA group (6.5% versus 39.3% (odds ratio (OR) 0.10, 95% CI 0.01–0.50; p = 0.001), and there was no significant difference in vascular complications between the two groups (p = 0.55). Our data suggests that the application of the MANTA device directly on the ICU is safe. In addition, it seems to reduce access related bleeding without increasing the risk of vascular complications.
Ecoenzymatic stoichiometry reveals widespread soil phosphorus limitation to microbial metabolism across Chinese forests
Authors: Cui Yongxing , Bing Haijian , Moorhead Daryl L. , Delgado-Baquerizo Manuel , Ye Luping , Yu Jialuo , Zhang Shangpeng , Wang Xia , Peng Shushi , Guo Xue , Zhu Biao , Chen Ji , Tan Wenfeng , Wang Yunqiang , Zhang Xingchang , Fang Linchuan 
Published: August 2022

AbstractForest soils contain a large amount of organic carbon and contribute to terrestrial carbon sequestration. However, we still have a poor understanding of what nutrients limit soil microbial metabolism that drives soil carbon release across the range of boreal to tropical forests. Here we used ecoenzymatic stoichiometry methods to investigate the patterns of microbial nutrient limitations within soil profiles (organic, eluvial and parent material horizons) across 181 forest sites throughout China. Results show that, in 80% of these forests, soil microbes were limited by phosphorus availability. Microbial phosphorus limitation increased with soil depth and from boreal to tropical forests as ecosystems become wetter, warmer, more productive, and is affected by anthropogenic nitrogen deposition. We also observed an unexpected shift in the latitudinal pattern of microbial phosphorus limitation with the lowest phosphorus limitation in the warm temperate zone (41-42°N). Our study highlights the importance of soil phosphorus limitation to restoring forests and predicting their carbon sinks.
An efficient and reliable service customized routing mechanism based on deep learning in IPv6 network
Authors: Wang Yufu , Wang Xingwei , Yi Bo , Huang Min 
Published: August 2022

AbstractBest‐effort service model of traditional routing is gradually hard to meet the personalized demands under the rapid development of network technologies (e.g. 5G and IPv6). Therefore, service customization should be considered. In this work, a service customized routing mechanism based on deep learning in IPv6 network is proposed, which includes deep learning‐based service customization module, reliability evaluation module, and routing calculation module. The first module uses neural network to learn the complex service customization function, which can quickly output win‐win customized service strategies based on user demands. The second module can quantify the reliability of service routing paths, where not only the link status of IPv6 Neighbor Unreachable Detection (NUD) is considered, but also propose link performance weights to ensure the reliability of differentiated service performance. The third module uses the gray wolf optimization algorithm to calculate an optimal routing path to forward services with the customized strategies as the constraints and the maximum reliability and minimum cost as the goal. Finally, the mechanism is tested on the IPv6 Source Address Validation Improvement (SAVI) platform, which can reduce the execution time by 12.25% and improve the average routing reliability, user and ISP satisfaction by 9.0%, 40.45% and 7.4%, respectively.
A parametric design method of observer‐based state feedback controller for quasi‐linear systems
Authors: Gu Da‐Ke , Duan Sheng , Liu Yin‐Dong 
Published: August 2022

AbstractThis paper designs an observer‐based feedback controller for quasi‐linear systems when the entire state vector is unavailable for measurement. First, based on the solution of a type of generalised Sylvester equations, general complete parameterisation of the full‐order observer is proposed. Second, the traditional separation principle is applied to the quasi‐linear systems. In other words, the design of a state feedback and the design of a state observer can be carried out independently. Further, general complete parameterisation of the state feedback controller is also established. Finally, numerical examples and simulations are adopted to verify the effectiveness of the proposed method.
Visual navigation system for generator stator wedge inspection mobile robot
Authors: Jeon BongKyu , Seo Ju‐hwan , Park Jong‐chan , Kwon Dong‐Soo 
Published: August 2022

AbstractStator wedge tightness inspection is one of the most important periodic inspections carried out on required for large‐capacity generators. The traditional wedge tightness inspection method enforces inspectors to enter the narrow and uncomfortable inner space of a stator. As an alternative, a wedge tightness inspection mobile robot is developed. This robot has a robotic arm with a wedge tightness test module. A visual navigation system using two cameras is proposed. The proposed system controls the driving of the robot in a stator by using line detection of the bottom view camera image. The system also detects wedges and assigns a location number to them by using the inspection view camera image and an object detector based on a convolutional neural network. The detected wedges are tracked using robot motion to assign location numbers to the new wedges. The inspection points are then determined using the length and position of the detected wedges. The experimental results conducted on the stator testbed demonstrate the potential applicability of the proposed system.
Enhancing the Follow-up Assessment of Very Preterm Children with
Regard to 5-Year IQ Considering Socioeconomic Status
Authors: Hoberg Kathrin , Häusler Martin , Orlikowsky Thorsten , Lidzba Karen 
Published: August 2022

Abstract
Background Specifying peri- and postnatal factors in children born very
preterm (VPT) that affect later outcome helps to improve long-term
treatment.
Aim To enhance the predictability of 5-year cognitive outcome by
perinatal, 2-year developmental and socio-economic data. Subjects and outcome
measures: 92 VPT infants, born 2007–2009, gestational age<32
weeks and/or birthweight of 1500 g, were assessed longitudinally
including basic neonatal, socio-economic (SES), 2-year Mental Developmental
Index (MDI, Bayley Scales II), 5-year Mental Processing Composite (MPC,
Kaufman-Assessment Battery for Children), and Language Screening for
Preschoolers data. 5-year infants born VPT were compared to 34 term
controls.
Results The IQ of 5-year infants born VPT was 10 points lower than that of
term controls and influenced independently by preterm birth and SES. MDI, SES,
birth weight and birth complications explained 48% of the variance of
the MPC. The MDI proved highly predictive (r=0.6,
R2=36%) for MPC but tended to underestimate the cognitive
outcome. A total of 61% of the 2-year infants born VPT were already
correctly classified (specificity of .93, sensitivity of .54). CHAID decision
tree technique identified SES as decisive for the outcome for infants born VPT
with medium MDI results (76–91): They benefit from effects associated to
a higher SES, while those with a poor MDI outcome and a birth
weight≤890 g do not.
Conclusion Developmental follow-up of preterm children enhances the
quality of prognosis and later outcome when differentially considering perinatal
risks and SES.
A Dose-Limited Dexamethasone and Bubble Continuous Positive Airway Pressure in Ventilation-Dependent Extremely Premature Infants
Authors: Mohamed Mohamed A. , Bergman Aaron , Abdelatif Dinan , Massa-Buck Beri 
Published: August 2022

Objective Dexamethasone has been associated with early extubation and shorter duration of mechanical ventilation in preterm infants. High doses or prolonged courses of dexamethasone may be associated with poor neurodevelopmental outcomes.
Study Design This is an observational cohort study assessing the efficacy of a low-dose short dexamethasone course combined with postextubation bubble continuous positive airway pressure (bCPAP) strategy on rates of successful extubation and reduction of the duration of invasive mechanical ventilation in extremely preterm infants. We compared the short-term outcomes of implementing such strategy on a group of infants with birth weight <750 g to a historical cohort.
Results Among infants intubated for at least 10 days, median time to extubation from starting the dexamethasone course was 2 days (interquartile range: 1–3). Total duration of intubation was significantly shorter in infants who received dexamethasone compared with the control groups (21 ± 6 vs. 30 ± 10 days, p = 0.03), and although statistically nonsignificant, duration to wean to 21% bCPAP was shorter compared with the control group (48 ± 13 vs. 74 ± 29 days, p = 0.06).
Conclusion A low-dose short dexamethasone course combined with postextubation bCPAP intervention may be associated with successful early extubation and shorter duration of mechanical ventilation.
Key Points