bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of nano-grain carbide formation on electrochemical behavior of 316L stainless steel
Authors: Boonruang Chatdanai , Sanumang Wutipong 
Published: June 2021

AbstractThe effect of low oxygen-partial pressured carburizing on relaxation process for 316L stainless steel is reported. Phase, morphology, and amount of compound formation during initial stage of carburizing are investigated using X-ray diffractometry (XRD) and X-ray photoelectron spectroscopy (XPS). The results show formation and development of surface multilayer with nano-grain-carbide (Cr7C3, Fe7C3, and/or Cr3C2) generation in the layer located below outermost protective layer. The relaxation process has been investigated using electrochemical impedance spectroscopy (EIS). Formation of nano-grain carbide(s) during carburizing causes deterioration effect on the electrochemical behavior of steel. However, the steel with large amount of carbide generation (carburized for 30 min) tends to have higher corrosion resistance (indicated by higher values of Rcl and Rct) than the smaller ones (10 and 20 min) due to the effect of phase, grain size, morphology, and amount of compound formation.
Long-term atomoxetine-oxybutynin combination use may be beneficial for the prevention of obstructive sleep apnea
Authors: Chen Tien-Yu , Chung Chi-Hsiang , Chang Hsin-An , Kao Yu-Chen , Chang Shan-Yueh , Kuo Terry B. J. , Yang Cheryl C. H. , Chien Wu-Chien , Tzeng Nian-Sheng 
Published: June 2021

AbstractOne recent study showed that atomoxetine-oxybutynin combination (AOC) use is effective in reducing obstructive sleep apnea (OSA) severity. We used a nationwide database to examine the association between AOC use and the risk of OSA incidence. This retrospective cohort study used Taiwan’s National Health Insurance Research Database between the years 2000 and 2015. The patients who used atomoxetine or oxybutynin were included as an exposed cohort. The exposed and unexposed groups were selected in a ratio of 1:3 with sex, age, and index year matching. We used the multivariate Cox proportional regression model to evaluate the association between AOC use and the risk of an incident diagnosis of OSA. The incidence rates of OSA in the exposed cohort (N = 8940) and the unexposed cohort (N = 26,820), were 21.92 and 22.93 per 100,000 person-years, respectively. The adjusted hazard ratio of oxybutynin use only and AOC with a treatment duration of ≥ 366 days were 0.307 (95% CI 0.204–0.995, P = 0.045) and 0.299 (95% CI 0.102–0.933, P = 0.002), respectively. Long-term atomoxetine-oxybutynin combination therapy may be beneficial to reduce the risk of obstructive sleep apnea. Further studies to examine these mechanisms are warranted.
Associations of fitness, motor competence, and adiposity with the indicators of physical activity intensity during different physical activities in children
Authors: Haapala Eero A. , Gao Ying , Hartikainen Jani , Rantalainen Timo , Finni Taija 
Published: June 2021

AbstractWe investigated the associations of peak oxygen uptake (V̇O2peak), ventilatory threshold (VT), muscle strength, motor competence (MC), and adiposity with the indicators of PA intensity during different physical activities used to create absolute PA intensity cut-offs among 35 children 7–11-years-of-age. V̇O2peakwas defined as the highest V̇O2achieved in the maximal cardiopulmonary exercise test (CPET) on a cycle ergometer, self-paced running, or running on a treadmill at 8 km/h. VT was defined from the CPET data. Peak isometric knee extensor and flexor strength was assessed by a dynamometer, MC by the Körperkoordination test für Kinder tests, and body composition by the bioelectrical impedance analysis. PA intensity was assessed using V̇O2as a % of V̇O2reserveor V̇O2at VT, mean amplitude deviation (MAD) measured by accelerometry, metabolic equivalent of task (MET), and muscle activity measured by textile electromyography during walking or running on a treadmill at 4, 6, and 8 km/h, playing hopscotch, walking up and down the stairs, self-paced walking, and self-paced running. Children with lower V̇O2peak, V̇O2at VT, and MC operated at higher intensity level during given physical task than their peers with higher fitness and MC when PA intensity was expressed using relative PA intensity using V̇O2as a % of V̇O2reserveor V̇O2at VT (p < 0.05). MAD and METs during different tasks were not able to discriminate PA intensity between children with varying levels of physical fitness or MC. Traditionally used absolute measures of PA intensity based on accelerometry or MET underestimated PA intensity in children with lower V̇O2peak, V̇O2at VT, and MC.
SETD4-expressing cells contribute to pancreatic development and response to cerulein induced pancreatitis injury
Authors: Tian Jin-Ze , Xing Sheng , Feng Jing-Yi , Yang Shu-Hua , Ding Yan-Fu , Huang Xue-Ting , Yang Jin-Shu , Yang Wei-Jun 
Published: June 2021

AbstractIn the adult pancreas, the presence of progenitor or stem cells and their potential involvement in homeostasis and regeneration remains unclear. Here, we identify that SET domain-containing protein 4 (SETD4), a histone lysine methyltransferase, is expressed in a small cell population in the adult mouse pancreas. Genetic lineage tracing shows that during pancreatic development, descendants of SETD4+cells make up over 70% of pancreatic cells and then contribute to each pancreatic lineage during pancreatic homeostasis. SETD4+cells generate newborn acinar cells in response to cerulein-induced pancreatitis in acinar compartments. Ablation of SETD4+cells compromises regeneration of acinar cells, in contrast to controls. Our findings provide a new cellular narrative for pancreatic development, homeostasis and response to injury via a small SETD4+cell population. Potential applications may act to preserve pancreatic function in case of pancreatic disease and/or damage.
Real-time prediction of Poisson’s ratio from drilling parameters using machine learning tools
Authors: Siddig Osama , Gamal Hany , Elkatatny Salaheldin , Abdulraheem Abdulazeez 
Published: June 2021

AbstractRock elastic properties such as Poisson’s ratio influence wellbore stability, in-situ stresses estimation, drilling performance, and hydraulic fracturing design. Conventionally, Poisson’s ratio estimation requires either laboratory experiments or derived from sonic logs, the main concerns of these methods are the data and samples availability, costs, and time-consumption. In this paper, an alternative real-time technique utilizing drilling parameters and machine learning was presented. The main added value of this approach is that the drilling parameters are more likely to be available and could be collected in real-time during drilling operation without additional cost. These parameters include weight on bit, penetration rate, pump rate, standpipe pressure, and torque. Two machine learning algorithms were used, artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS). To train and test the models, 2905 data points from one well were used, while 2912 data points from a different well were used for model validation. The lithology of both wells contains carbonate, sandstone, and shale. Optimization on different tuning parameters in the algorithm was conducted to ensure the best prediction was achieved. A good match between the actual and predicted Poisson’s ratio was achieved in both methods with correlation coefficients between 0.98 and 0.99 using ANN and between 0.97 and 0.98 using ANFIS. The average absolute percentage error values were between 1 and 2% in ANN predictions and around 2% when ANFIS was used. Based on these results, the employment of drilling data and machine learning is a strong tool for real-time prediction of geomechanical properties without additional cost.
Use of skeletal muscle index as a predictor of short-term mortality in patients with acute-on-chronic liver failure
Authors: Li Tongzeng , Xu Manman , Kong Ming , Song Wenyan , Duan Zhongping , Chen Yu 
Published: June 2021

AbstractSarcopenia is a well-recognized factor affecting the prognosis of chronic liver disease, but its impact on acute decompensation underlying chronic liver disease is unknown. This study evaluated the impact of sarcopenia on short-term mortality in patients with acute-on-chronic liver failure (ACLF). One hundred and seventy-one ACLF patients who underwent abdominal CT between 2015 and 2019 were retrospectively included in this study. Skeletal muscle index at the third lumbar vertebrae (L3-SMI) was used to diagnose sarcopenia.The ACLF patients in this study had a L3-SMI of 41.2 ± 8.3 cm2/m2 and sarcopenia was present in 95/171 (55.6%) patients. Body mass index (BMI), cirrhosis, and higher serum bilirubin were independently associated with sarcopenia. Following multivariate Cox regression analysis, cirrhosis (hazard ratio (HR) 2.758, 95%CI 1.323–5.750), serum bilirubin (HR 1.049, 95%CI 1.026–1.073), and international normalized ratio (INR) (HR 1.725, 95%CI 1.263–2.355) were associated with 3-month mortality (P < 0.05), whereas L3-SMI and sarcopenia were not. A subgroup analysis of the factors related to sarcopenia showed that sarcopenia was still not predictive of short-term outcome in ACLF patients. L3-SMI and sarcopenia are not associated with short-term mortality in patients with ACLF.
Quantitative proteomics analysis of glioblastoma cell lines after lncRNA HULC silencing
Authors: Ye Shan , Wu Jing , Wang Yiran , Hu Yuchen , Yin Tiantian , He Jie 
Published: June 2021

AbstractGlioblastoma multiforme (GBM) is a life-threatening brain tumor. This study aimed to identify potential targets of the long noncoding RNA (lncRNA) HULC that promoted the progression of GBM. Two U87 cell lines were constructed: HULC-siRNA and negative control (NC). Quantitative real-time PCR (qRT-PCR) was performed to validate the transfection efficiency of HULC silencing vector. Mass spectrometry (MS) was used to generate proteomic profiles for the two cell lines. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed to distinguish HULC-related genes and pathway mapping. Colony formation, Transwell, and wound-healing assays were used to investigate the functional effects of HULC knockdown on GBM. We identified 112 up-regulated proteins and 24 down-regulated proteins from a total of 4360 quantified proteins. GO enrichment illustrated that these proteins were mainly involved in organelle structure, catalysis, cell movement, and material metabolism. KEGG pathway analysis indicated that some of these proteins were significantly enriched in tight junction, metabolic pathways, and arachidonic acid metabolism. In vitro experiments demonstrated that HULC knockdown inhibited GBM cell proliferation, invasion, and migration. Our KEGG analyses revealed that PLA2G4A was a shared protein in several enriched pathways. HULC silencing significantly down-regulated the expression of PLA2G4A. Knockdown of HULC changed the proteomic characteristics of GBM and altered the behaviors of GBM cells. Specifically, we identified PLA2G4A as an HULC target in GBM. This study provides a new perspective on the mechanisms and potential drug targets of GBM treatment.
Classification of caries in third molars on panoramic radiographs using deep learning
Authors: Vinayahalingam Shankeeth , Kempers Steven , Limon Lorenzo , Deibel Dionne , Maal Thomas , Hanisch Marcel , Bergé Stefaan , Xi Tong 
Published: June 2021

AbstractThe objective of this study is to assess the classification accuracy of dental caries on panoramic radiographs using deep-learning algorithms. A convolutional neural network (CNN) was trained on a reference data set consisted of 400 cropped panoramic images in the classification of carious lesions in mandibular and maxillary third molars, based on the CNN MobileNet V2. For this pilot study, the trained MobileNet V2 was applied on a test set consisting of 100 cropped PR(s). The classification accuracy and the area-under-the-curve (AUC) were calculated. The proposed method achieved an accuracy of 0.87, a sensitivity of 0.86, a specificity of 0.88 and an AUC of 0.90 for the classification of carious lesions of third molars on PR(s). A high accuracy was achieved in caries classification in third molars based on the MobileNet V2 algorithm as presented. This is beneficial for the further development of a deep-learning based automated third molar removal assessment in future.
Corneal transplantation for keratoconus in South Korea
Authors: Hwang Sungsoon , Chung Tae-Young , Han Jisang , Kim Kyunga , Lim Dong Hui 
Published: June 2021

AbstractThis nationwide population-based study investigated the incidence rate of and risk factors for the progression to corneal transplantation in patients with keratoconus in South Korea using claims data from the Health Insurance Review and Assessment service. Among the entire South Korean population, 10,612 patients newly diagnosed with keratoconus between January 2010 and June 2015 were identified and included in the study. During the study period, 124 patients (1.17%) underwent corneal transplantation, with an average follow-up period of 2.97 ± 1.59 years. The incidence rate of corneal transplantation in patients with keratoconus was 4.46 cases per 1000 person-years. The rate of corneal transplantation for keratoconus was relatively low in South Korea compared to other countries. Multivariate Cox regression analysis revealed that male sex (HR 2.37; 95% CI 1.61–3.50; P < 0.001), severe atopic dermatitis (HR 2.32; 95% CI 1.02–5.28; P = 0.044), obstructive sleep apnea (HR 9.78; 95% CI 1.36–70.10; P = 0.023), and intellectual disability (HR 4.48; 95% CI 1.33–15.11; P = 0.016) significantly increased the risk of progression to corneal transplantation. In patients with keratoconus, male sex, severe atopic dermatitis, obstructive sleep apnea, and intellectual disability were associated with an increased risk of corneal transplantation.
Association between subjective oral dysfunction and locomotive syndrome in community-dwelling older adults
Authors: Nakamura Misa , Imaoka Masakazu , Nakao Hidetoshi , Hida Mitsumasa , Tazaki Fumie , Imai Ryota , Utsunomiya Hirotoshi , Hashizume Hiroshi 
Published: June 2021

AbstractThe need for support and care is a major problem facing societies around the world. Locomotive syndrome (LS) refers to a condition in which people require healthcare services because of problems associated with locomotion. Oral dysfunction is also associated with various long-term care factors including activities of daily living. The purpose of this study was to determine the association between oral dysfunction and LS. The study participants were 407 elderly people living in a rural area in Japan. Evaluation of oral dysfunction was based on subjective judgment by each participant. LS was assessed using Locomo-25, which is a self-administered questionnaire and was defined by a Locomo-25 score ≥ 7 points. Those with a “decline in masticatory function” and “difficulty swallowing” had higher odds of LS than those without these dysfunctions (odds ratio (OR) = 2.134, 2.007, respectively). Furthermore, participants with a Locomo-25 score ≥ 11 had higher odds of a “decline in masticatory function” (OR = 2.657) than those with a Locomo-25 score < 11, and those with a Locomo-25 score ≥ 9 had higher odds of “difficulty swallowing” (OR = 2.411) than those with a Locomo-25 score < 9. These findings suggest that a strong relationship exists between oral dysfunction and LS.
Millimeter-sized smart sensors reveal that a solar refuge protects tree snail Partula hyalina from extirpation
Authors: Bick Cindy S. , Lee Inhee , Coote Trevor , Haponski Amanda E. , Blaauw David , Foighil Diarmaid Ó 
Published: June 2021

AbstractPacific Island land snails are highly endangered due in part to misguided biological control programs employing the alien predator Euglandina rosea. Its victims include the fabled Society Island partulid tree snail fauna, but a few members have avoided extirpation in the wild, including the distinctly white-shelled Partula hyalina. High albedo shell coloration can facilitate land snail survival in open, sunlit environments and we hypothesized that P. hyalina has a solar refuge from the predator. We developed a 2.2 × 4.8 × 2.4 mm smart solar sensor to test this hypothesis and found that extant P. hyalina populations on Tahiti are restricted to forest edge habitats, where they are routinely exposed to significantly higher solar radiation levels than those endured by the predator. Long-term survival of this species on Tahiti may require proactive conservation of its forest edge solar refugia and our study demonstrates the utility of miniaturized smart sensors in invertebrate ecology and conservation.
Dynamic relationships between spontaneous and evoked electrophysiological activity
Authors: Wainio-Theberge Soren , Wolff Annemarie , Northoff Georg 
Published: June 2021

AbstractSpontaneous neural activity fluctuations have been shown to influence trial-by-trial variation in perceptual, cognitive, and behavioral outcomes. However, the complex electrophysiological mechanisms by which these fluctuations shape stimulus-evoked neural activity remain largely to be explored. Employing a large-scale magnetoencephalographic dataset and an electroencephalographic replication dataset, we investigate the relationship between spontaneous and evoked neural activity across a range of electrophysiological variables. We observe that for high-frequency activity, high pre-stimulus amplitudes lead to greater evoked desynchronization, while for low frequencies, high pre-stimulus amplitudes induce larger degrees of event-related synchronization. We further decompose electrophysiological power into oscillatory and scale-free components, demonstrating different patterns of spontaneous-evoked correlation for each component. Finally, we find correlations between spontaneous and evoked time-domain electrophysiological signals. Overall, we demonstrate that the dynamics of multiple electrophysiological variables exhibit distinct relationships between their spontaneous and evoked activity, a result which carries implications for experimental design and analysis in non-invasive electrophysiology.
The damping and structural properties of dragonfly and damselfly wings during dynamic movement
Authors: Lietz Carina , Schaber Clemens F. , Gorb Stanislav N. , Rajabi Hamed 
Published: June 2021

AbstractFor flying insects, stability is essential to maintain the orientation and direction of motion in flight. Flight instability is caused by a variety of factors, such as intended abrupt flight manoeuvres and unwanted environmental disturbances. Although wings play a key role in insect flight stability, little is known about their oscillatory behaviour. Here we present the first systematic study of insect wing damping. We show that different wing regions have almost identical damping properties. The mean damping ratio of fresh wings is noticeably higher than that previously thought. Flight muscles and hemolymph have almost no ‘direct’ influence on the wing damping. In contrast, the involvement of the wing hinge can significantly increase damping. We also show that although desiccation reduces the wing damping ratio, rehydration leads to full recovery of damping properties after desiccation. Hence, we expect hemolymph to influence the wing damping indirectly, by continuously hydrating the wing system.
Hypergraph reconstruction from network data
Authors: Young Jean-Gabriel , Petri Giovanni , Peixoto Tiago P. 
Published: June 2021

AbstractNetworks can describe the structure of a wide variety of complex systems by specifying which pairs of entities in the system are connected. While such pairwise representations are flexible, they are not necessarily appropriate when the fundamental interactions involve more than two entities at the same time. Pairwise representations nonetheless remain ubiquitous, because higher-order interactions are often not recorded explicitly in network data. Here, we introduce a Bayesian approach to reconstruct latent higher-order interactions from ordinary pairwise network data. Our method is based on the principle of parsimony and only includes higher-order structures when there is sufficient statistical evidence for them. We demonstrate its applicability to a wide range of datasets, both synthetic and empirical.
Seasonal sea ice persisted through the Holocene Thermal Maximum at 80°N
Authors: Pieńkowski Anna J. , Husum Katrine , Belt Simon T. , Ninnemann Ulysses , Köseoğlu Denizcan , Divine Dmitry V. , Smik Lukas , Knies Jochen , Hogan Kelly , Noormets Riko 
Published: June 2021

AbstractThe cryospheric response to climatic warming responsible for recent Arctic sea ice decline can be elucidated using marine geological archives which offer an important long-term perspective. The Holocene Thermal Maximum, between 10 and 6 thousand years ago, provides an opportunity to investigate sea ice during a warmer-than-present interval. Here we use organic biomarkers and benthic foraminiferal stable isotope data from two sediment cores in the northernmost Barents Sea (>80 °N) to reconstruct seasonal sea ice between 11.7 and 9.1 thousand years ago. We identify the continued persistence of sea-ice biomarkers which suggest spring sea ice concentrations as high as 55%. During the same period, high foraminiferal oxygen stable isotopes and elevated phytoplankton biomarker concentrations indicate the influence of warm Atlantic-derived bottom water and peak biological productivity, respectively. We conclude that seasonal sea ice persisted in the northern Barents Sea during the Holocene Thermal Maximum, despite warmer-than-present conditions and Atlantic Water inflow.
Soil texture and environmental conditions influence the biogeochemical responses of soils to drought and flooding
Authors: Patel Kaizad F. , Fansler Sarah J. , Campbell Tayte P. , Bond-Lamberty Ben , Smith A. Peyton , RoyChowdhury Taniya , McCue Lee Ann , Varga Tamas , Bailey Vanessa L. 
Published: June 2021

AbstractClimate change is intensifying the global water cycle, with increased frequency of drought and flood. Water is an important driver of soil carbon dynamics, and it is crucial to understand how moisture disturbances will affect carbon availability and fluxes in soils. Here we investigate the role of water in substrate-microbe connectivity and soil carbon cycling under extreme moisture conditions. We collected soils from Alaska, Florida, and Washington USA, and incubated them under Drought and Flood conditions. Drought had a stronger effect on soil respiration, pore-water carbon, and microbial community composition than flooding. Soil response was not consistent across sites, and was influenced by site-level pedological and environmental factors. Soil texture and porosity can influence microbial access to substrates through the pore network, driving the chemical response. Further, the microbial communities are adapted to the historic stress conditions at their sites and therefore show site-specific responses to drought and flood.