bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mineralogy Sensitive Immersion Freezing Parameterization in DREAM
Authors: Ilić Luka , Jovanović Aleksandar , Kuzmanoski Maja , Lazić Lazar , Madonna Fabio , Rosoldi Marco , Mytilinaios Michail , Marinou Eleni , Ničković Slobodan 
Published: February 2022

AbstractDust aerosols are abundant in the atmosphere and are very efficient ice nucleating particles at temperatures below −15°C. Depending on temperature, dust particles containing certain minerals (i.e., feldspar and quartz) are the most active as ice nuclei. A mineralogy‐sensitive immersion freezing parameterization for ice nucleating particle concentration (INPC) is implemented in Dust Regional Atmospheric Model (DREAM) for the first time. Additionally, four mineralogy‐indifferent parameterizations are implemented, two for immersion freezing and two for deposition nucleation. Dust concentration and its feldspar and quartz fractions are forecasted by DREAM for a dust episode in the Mediterranean in April 2016. DREAM results are compared with vertical profiles of cloud‐relevant dust concentrations and INPC from ground‐based lidar measurements in Potenza, Italy and Nicosia, Cyprus. INPC predictions are also compared with vertical profiles of ice crystal number concentration (ICNC) from satellite observations for two overpasses over the dust plume. The model successfully simulates the evolution and vertical extent of the dust plume. Mineralogy‐sensitive and mineralogy‐indifferent INPC parameterization results generally differ by about an order of magnitude. Forecasted INPC and observed ICNC values differ by an order of magnitude for all parameterizations. Feldspar fraction increase within a dust plume during transport can increase INPC by around 6% at −35°C, and up to 17% at −25°C, but sedimentation can reduce this effect. Over the Atlantic, mineralogy‐sensitive parameterization predicts horizontal distribution of clouds with higher probability of success, while in the Mediterranean; the results for different parameterizations show lower variability.
A Hybrid Approach to Atmospheric Modeling That Combines Machine Learning With a Physics‐Based Numerical Model
Authors: Arcomano Troy , Szunyogh Istvan , Wikner Alexander , Pathak Jaideep , Hunt Brian R. , Ott Edward 
Published: February 2022

AbstractThis paper describes an implementation of the combined hybrid‐parallel prediction (CHyPP) approach of Wikner et al. (2020), https://doi.org/10.1063/5.0005541 on a low‐resolution atmospheric global circulation model (AGCM). The CHyPP approach combines a physics‐based numerical model of a dynamical system (e.g., the atmosphere) with a computationally efficient type of machine learning (ML) called reservoir computing to construct a hybrid model. This hybrid atmospheric model produces more accurate forecasts of most atmospheric state variables than the host AGCM for the first 7–8 forecast days, and for even longer times for the temperature and humidity near the earth's surface. It also produces more accurate forecasts than a model based only on ML, or a model that combines linear regression, rather than ML, with the AGCM. The potential of the CHyPP approach for climate research is demonstrated by a 10‐year long hybrid model simulation of the atmospheric general circulation, which shows that the hybrid model can simulate the general circulation with substantially smaller systematic errors and more realistic variability than the host AGCM.
Radial Transport Versus Local Acceleration: The Long‐Standing Debate
Authors: Drozdov Alexander Y. , Blum Lauren W. , Hartinger Michael , Zhao Hong , Lejosne Solène , Hudson Mary K. , Allison Hayley J. , Ozeke Louis , Jaynes Allison N. 
Published: February 2022

AbstractOn 28 July 2021, within the Geospace Environment Modeling Virtual Summer Workshop, a joint panel discussion organized by the “System Understanding of Radiation Belt Particle Dynamics through Multi‐spacecraft and Ground‐based Observations and Modeling” and “ULF wave Modeling, Effects, and Applications” focus groups was held. The panelists, organizers, and the audience discussed the nature and unresolved questions of radiation belt electron flux enhancements. In this commentary we provide the outcomes of this discussion.
Seismic hazard assessment for Guinea, West Africa
Authors: Irinyemi Stephen A. , Lombardi Domenico , Ahmad Syed M. 
Published: February 2022

AbstractGuinea is located on a stable continental region in West Africa, this is a region characterised by infrequent seismic events. In this study, the seismic hazard level of Guinea and 10 main cities was determined by a probabilistic approach. The calculation was carried out for 10%, 2% and 0.5% probability of exceedance in 50 years (corresponding to 475, 2475 and 9975 years return periods, respectively). We developed a homogenized 100-year catalogue compiled from different seismic sources. Two ground motion prediction equations, originally developed for Eastern and Central North America, a stable continental region, were used for the hazard calculation. A uniform b-value of 0.70 ± 0.12, and individual activity rate (λ) were calculated for the three seismic zones considered in this study. The estimated seismic hazard was high in the Palaeozoic area of Guinea. The PGA values estimated for the study region, considering hard rock conditions, were 0.08 g, 0.27 g, and 0.57 g for 475, 2475 and 9975 years return periods, respectively. The results of this study an inform future programmes in disaster risk management and planning for new regional infrastructure.
Prophylactic hyperthermic intraperitoneal chemotherapy may benefit the long-term survival of patients after radical gastric cancer surgery
Authors: Zhuang Xuhui , He Yuewen , Ma Wuhua 
Published: February 2022

AbstractHyperthermic intraperitoneal chemotherapy (HIPEC) has been proven to improve the survival rate of gastric cancer and reduce peritoneal recurrence. We aimed to evaluate the effectiveness and safety of prophylactic HIPEC after radical gastric cancer surgery in this study. Researchers searched for studies published in PubMed, Embase, Web of science, Scopus, Cochrane, Clinical key databases and Microsoft Academic databases to identify studies that examine the impact of prophylactic HIPEC on the survival, recurrence and adverse events of patients undergoing radical gastric cancer surgery. RevMan 5.3 was used to analyze the results and risk of bias. The PROSERO registration number is CRD42021262016. This meta-analysis included 22 studies with a total of 2097 patients, 12 of which are RCTs. The results showed that the 1-, 3- and 5-year overall survival rate was significantly favorable to HIPEC (OR 5.10, 2.07, 1.96 respectively). Compared with the control group, the overall recurrence rate and peritoneal recurrence rate of the HIPEC group were significantly lower (OR 0.41, 0.24 respectively). Significantly favorable to the control group in terms of renal dysfunction and pulmonary dysfunction complications (OR 2.44, 6.03 respectively). Regarding the causes of death due to postoperative recurrence: liver recurrence, lymph node and local recurrence and peritoneal recurrence, the overall effect is not significantly different (OR 0.81, 1.19, 0.37 respectively). 1-, 3- and 5-year overall survival follow-up may be incremented by the prophylactic HIPEC, and which reduce the overall recurrence rate and peritoneal recurrence rate. HIPEC may have high-risk of pulmonary dysfunction and renal dysfunction complications. No difference has been found in the deaths due to recurrence after surgery.
A robust gene expression signature for NASH in liver expression data
Authors: Hasin-Brumshtein Yehudit , Sakaram Suraj , Khatri Purvesh , He Yudong D. , Sweeney Timothy E. 
Published: February 2022

AbstractNon-Alcoholic Fatty Liver Disease (NAFLD) is a progressive liver disease that affects up to 30% of worldwide population, of which up to 25% progress to Non-Alcoholic SteatoHepatitis (NASH), a severe form of the disease that involves inflammation and predisposes the patient to liver cirrhosis. Despite its epidemic proportions, there is no reliable diagnostics that generalizes to global patient population for distinguishing NASH from NAFLD. We performed a comprehensive multicohort analysis of publicly available transcriptome data of liver biopsies from Healthy Controls (HC), NAFLD and NASH patients. Altogether we analyzed 812 samples from 12 different datasets across 7 countries, encompassing real world patient heterogeneity. We used 7 datasets for discovery and 5 datasets were held-out for independent validation. Altogether we identified 130 genes significantly differentially expressed in NASH versus a mixed group of NAFLD and HC. We show that our signature is not driven by one particular group (NAFLD or HC) and reflects true biological signal. Using a forward search we were able to downselect to a parsimonious set of 19 mRNA signature with mean AUROC of 0.98 in discovery and 0.79 in independent validation. Methods for consistent diagnosis of NASH relative to NAFLD are urgently needed. We showed that gene expression data combined with advanced statistical methodology holds the potential to serve basis for development of such diagnostic tests for the unmet clinical need.
Towards a software architecture to manage occupational safety at grain handling and storage facilities
Authors: Bellochio Sabrina Dalla Corte , Coradi Paulo Carteri , Maran Vinícius , dos Santos Marcos Alves , Silveira Luan Willig , Teodoro Paulo Eduardo 
Published: February 2022

AbstractThe study had as objective to evaluate occupational hazards on grain storage unit to define a conceptual model, implemented in an algorithm to manage the grains storage facilities safety standards compliance. Sampling points location were defined for static quantification of noise, dust and heat stress hazards in grains pre-processing operations to indicate the effectiveness of the control measures implemented. Safety standards applied to grain handling and storage facilities were identified and selected. Chart flows were elaborated to the algorithm logics and conceptual modeling. The highest level of noise was present in the grain cleaning operation (99.1 dB), while the expedition operation has the highest level of dust (20.27%). The heat stress was present in the grain drying operation (43.64 WBGT). Noise analysis did not show a difference between grains, only between operations. The flow of corn grain mass caused higher dust concentrations in the expedition operation. The method applied to characterize and quantify the hazards in grain storage units was satisfactory, and it is recommended as standard, for use in corn and soybean grains handling and storage units. The algorithm to manage occupational safety at storage facilities collaborates to monitor the safety compliance on postharvest operations.
Adaptive blind equalization for multi‐level QAM signals in impulsive noise environment
Authors: Zhang Yijiao , Tian Shulin , Pan Huiqing , Zhang Qinchuan , Qiu Duyu , Zhou Yi 
Published: February 2022

AbstractA maximum correntropy criterion‐blind clustering multi‐modulus algorithm (MCC‐BCMMA) is proposed to equalize multi‐level quadrature amplitude modulation (QAM) channels in impulsive noise environment. The novel cost function is based on the maximum correntropy criterion (MCC), theoretical analysis shows that this criterion is useful when the noise is impulsive. Moreover, this cost function is decomposed into in‐phase term and orthogonal term to eliminate the phase ambiguity, treats high‐order QAM signal to classical QAM4 signal to reduce the error, and calculates the weight coefficients by a simple way. Simulation results show that the newly proposed algorithm MCC‐BCMMA can be used to equalize multi‐level QAM signals in both Gaussian and impulsive noise environments, and it shows better equalization performance under impulsive noise. The relationship between the kernel size of MCC, the convergence speed and accuracy is also analysed.
Analysis and testing of a superconducting maglev submersible cryogenic liquid pump
Authors: Ai Liwang , Zhang Guomin , Xu Xiaozhuo , Feng Haichao , Cao Wenping 
Published: February 2022

AbstractThis paper studies a superconducting maglev submersible cryogenic liquid pump (CLP) using superconducting magnetic bearing (SMB). A new structure is proposed for the self‐stability of high‐temperature superconducting magnetic levitation, and the compact structure of disk motor‐pump. The rotor of the axial‐flux disk motor is connected with a centrifugal impeller to form an impeller‐rotor of the proposed superconducting CLP. Supported by a SMB system, the impeller‐rotor rotates frictionlessly with self‐stabilisation as a suspension rotor. The SMB system includes a radial‐type SMB, an auxiliary permanent magnet bearing, and an electromagnetic bearing composed of the stator and the rotor of disk motor. Theoretical calculations and experimental measurements are performed to examine the axial and radial levitation force behaviours of the SMB system. Then, a kinetic model of the suspension rotor is established and analysed to assure force balance and stable levitation. Finally, a prototype pump is fabricated and an experimental setup for liquid nitrogen transmission is constructed for validation purposes. The experimental tests on the pump head and the flow rate are carried out, which demonstrate the effectiveness of the proposed superconducting maglev submersible CLP.
Methods of image recognition of overhead power line insulators and ice types based on deep weakly‐supervised and transfer learning
Authors: Hao Yanpeng , Liang Wei , Yang Lin , He Jinqiang , Wu Jianrong 
Published: February 2022

AbstractInsulator icing endangers the safe operation of overhead power lines. The current measures for image monitoring of icing overhead power lines rely on manual observation. There is an urgent need for image intelligent analysis methods with strong generalisation, accuracy, and efficiency to improve power grid decision‐making. Based on the icing monitoring data from China Southern Power Grid, this paper first proposes rules for insulator image data cleaning, classification, and annotation, establishing a dataset of insulator icing monitoring images during 2014–2018. Then, based on Yolo (You only look once) v5, a weakly supervised and phased transfer learning method is proposed to recognise insulators and ice types such as snow, rime, mixed rime, glaze, and the normal. This method reduces the interference of icing background, uneven illumination, and camera occlusion through multidimensional feature fusion. The precision, recall, and mean average precision of the recognition can reach 86.6%, 91.3%, and 90.1%, respectively, and the recognition speed is as fast as 8 ms/image. Using image pseudo‐labelling based on weakly supervised learning enables the intellectualisation of image annotation, which significantly changes the inefficiency of manual labelling.
Feature‐based no‐reference video quality assessment using Extra Trees
Authors: Otroshi‐Shahreza Hatef , Amini Arash , Behroozi Hamid 
Published: February 2022

AbstractWith the emergence of social networks and improvements in the internet speed, the video data has become an ever‐increasing portion of the global internet traffic. Besides the content, the quality of a video sequence is an important issue at the user end which is often affected by various factors such as compression. Therefore, monitoring the quality is crucial for the video content and service providers. A simple monitoring approach is to compare the raw video content (uncompressed) with the received data at the receiver. In most practical scenarios, however, the reference video sequence is not available. Consequently, it is desirable to have a general reference‐less method for assessing the perceived quality of any given video sequence. In this paper, a no‐reference video quality assessment technique based on video features is proposed. In particular, a long list of video features (21 sets of features, each consisting of 1 to 216 features) is considered and all possible combinations () for training an Extra Trees regressor is examined. This choice of the regressor is wisely selected and is observed to perform better than other common regressors. The results reveal that the top 20 performing feature subsets all outperform the existing feature‐based assessment methods in terms of the Pearson linear correlation coefficient (PLCC) or the Spearman rank order correlation coefficient (SROCC). Specially, the best performing regressor achieves on the test data over the KonVid‐1k dataset. It is believed that the results of the comprehensive comparison could be potentially useful for other feature‐based video‐related problems. The source codes of the implementations are publicly available.
Antibiotic Optimization in the Intensive Care Unit
Authors: Lizza Bryan D. , Raush Nick , Micek Scott T. 
Published: February 2022

AbstractEffective antimicrobial therapy remains paramount to successful treatment of patients with critical illness, such as pneumonia and sepsis. Unfortunately, critically ill patients often exhibit altered pharmacokinetics and pharmacodynamics (PK/PD) that make this endeavor challenging. Particularly in sepsis, alterations in volume of distribution (Vd) and protein binding lead to unpredictable effects on serum levels of various antimicrobials. Additionally, metabolic pathways and excretion may be significantly impacted due to end-organ failure. These dynamic factors may increase the likelihood of deleterious effects such as treatment failure or toxicity. Meeting these challenging scenarios has led to various strategies meant to improve clinical cure without untoward consequences. Vancomycin and β-lactam antimicrobials are frequently utilized and have been the focus of dose optimization strategies including extended infusion (EI) or continuous infusion (CI). Available data suggests that administration of vancomycin by CI may reduce the risk of nephrotoxicity without increasing the risk of treatment failure, although retrospective data are largely utilized in supporting this method. Other efforts to optimize vancomycin have focused on transitioning from trough-based therapeutic drug monitoring (TDM) to area-under-the-curve: minimum inhibitory concentration (AUC:MIC) ratios. Despite the creation of more user-friendly methods of calculation and data suggesting reduced rates of nephrotoxicity, widespread implementation is limited, in part due to clinician comfort. Use of β-lactams in patients with sepsis is similarly problematic due to observational data demonstrating fluctuations in serum levels in the setting of critical illness. Implementing TDM of agents such as piperacillin-tazobactam, cefepime, and meropenem has been suggested as a method of improving time above MIC (T >MIC). This practice is limited by the lack of access to commercial assays and the failure of rigorous studies to demonstrate improved treatment success. Clinicians should be aware of these challenges and should refine their dosing strategies based on individualized patient factors to reduce treatment failure.
Severe Infections Due to Respiratory Viruses
Authors: Cillóniz Catia , Pericàs Juan M. , Rojas Jorge R. , Torres Antoni 
Published: February 2022

AbstractSevere viral infections may result in severe illnesses capable of causing acute respiratory failure that could progress rapidly to acute respiratory distress syndrome (ARDS), related to worse outcomes, especially in individuals with a higher risk of infection, including the elderly and those with comorbidities such as asthma, diabetes mellitus and chronic respiratory or cardiovascular disease. In addition, in cases of severe viral pneumonia, co-infection with bacteria such as Streptococcus pneumoniae and Staphylococcus aureus is related to worse outcomes. Respiratory viruses like influenza, rhinovirus, parainfluenza, adenovirus, metapneumovirus, respiratory syncytial virus, and coronavirus have increasingly been detected. This trend has become more prevalent, especially in critically ill patients, due to the availability and implementation of molecular assays in clinical practice. Respiratory viruses have been diagnosed as a frequent cause of severe pneumonia, including cases of community-acquired pneumonia, hospital-acquired pneumonia, and ventilator-associated pneumonia. In this review, we will discuss the epidemiology, diagnosis, clinical characteristics, management, and prognosis of patients with severe infections due to respiratory viruses, with a focus on influenza viruses, non-influenza viruses, and coronaviruses.
Unilateral Interstitial Lung Disease with Contralateral Effusion: Unusual Case Report of Dasatinib Toxicity
Authors: Bhaskar Maheema , Biraris Pavankumar , Tisekar Owais , Kaushal Rajiv Kumar , Janu Amit , Tandon Sandeep 
Published: February 2022

AbstractDasatinib is a second-generation tyrosine kinase inhibitor (TKI) used in chronic myelogenous leukemia (CML). While pleural effusion due to Dasatinib is well described in the literature, interstitial lung disease (ILD) caused by it is rare. A 60-year-old gentleman was on treatment with 100 mg of tablet Dasatinib per day for chronic myeloid leukemia. He presented to the outpatient department with history of progressive breathlessness over 2 months. High-resolution computerized tomography (HRCT) thorax revealed mild right-sided effusion and non-specific interstitial pneumonia (NSIP) pattern of ILD in the left lower lobe. Thoracocentesis of the right-sided pleural effusion showed exudative and lymphocytic rich pleural effusion. The effusion was negative for malignant cells or infection. Biopsy of the left lower lobe was consistent with the diagnosis of ILD. He was started on prednisolone which was gradually tapered and stopped. At 3 months, there was a complete resolution of the ILD and pleural effusion. Clinicians need to be aware about the pleuroparenchymal toxicities of Dasatinib. Early diagnosis and treatment with steroids can lead to complete resolution of the signs and symptoms.