bluuebunny/crossref_metadata_2025_split huggingface dataset:
A naive learning algorithm for class‐bridge‐decomposable multidimensional Bayesian network classifiers
Authors: Lv Yali , Hu Weixin , Liang Jiye , Qian Yuhua , Miao Junzhong 
Published: April 2020

SummaryMultidimensional Bayesian network classifier (MBC) has become a popular classification model because of their intuitive graphical representation ability among class variables. But learning MBC and performing multidimensional classification based on the MBC can be very computationally demanding. For the tractability of performing multidimensional classification, a class‐bridge‐decomposable (CB‐decomposable) MBC model is proposed and it alleviates the computation complexity. But there are few works to efficiently and systematically learn the CB‐decomposable MBC model. Thus, we focus on addressing a naive learning algorithm of CB‐decomposable MBCs. Briefly, we learn the CB‐decomposable MBC model by dividing it into three components: class subgraph, bridge subgraph, and feature subgraph. First, we analyze why the class subgraph can be learned based on general Bayesian network learning methods. Second, we give how to learn bridge subgraph based on information gain ratio. Third, to make the CB‐decomposable MBC model effective and simple, we also study the learning and updating strategies of feature subgraph. Further, we propose the naive learning algorithm of the CB‐decomposable MBC. Finally, by comparing with other methods on several benchmark datasets, experimental results illustrate that our naive learning algorithm not only has higher accuracies, lower learning, and classification times but also has simple and intuitive representation ability.
Research on the application of mobile payment security system based on the Internet of Things
Authors: Xu Bing , Huang Darong , Mi Bo 
Published: April 2020

SummaryBased on the relationship between the Internet of Things (IoT) and mobile payment, this article analyzed the security characteristics of IoT mobile payment. The security system of IoT mobile payment was constructed according to the security demands of mobile payment. Finally, the mobile payment security system was utilized to grade the current level of mobile payment security in China, which verified the urgent problems in China's mobile payment security. The security system of mobile payment based on IoT is a set of macro theoretical systems, whose establishment can lay a theoretical foundation for its branch theoretical research in the future. Meanwhile, it is applicable to the quantitative evaluation of mobile payment security level in China, and has certain guiding significance in theory and practice.
Insights into the Thermal and Photochemical Reaction Mechanisms of Azidoacetonitrile. Spectroscopic and MS‐CASPT2 Calculations
Authors: Algarra Manuel , Soto Juan 
Published: April 2020

AbstractThis work studies the photochemical and thermal decompositions of azidoacetonitrile (N3CH2CN) from both the experimental and theoretical points of view. The data of the photochemical experiments are taken from the literature, while the thermal decomposition have been carried out by us. In addition, we have performed ab initio calculations of the multiconfigurational type [complete active space self‐consistent field (CASSCF) and the multistate multireference perturbation theory (MS‐CASPT2)]. It is found that the first step of both type of decompositions is N2 elimination and formation of closed shell singlet nitrene. Afterwards, the nitrene tends to rapidly rearrange into formimidoyl cyanide (HNCHCN). As both reactions progress, the imine isomerizes into formimidoyl isocyanide (HNCHNC). The photoisomerization of the imine takes places thorough a conical intersection, while the same reaction on the ground electronic state occurs via a conventional transition state. The last step of the global reaction is decomposition of the imines into HCN and CNH. In photochemical conditions, the conjunction of the imines and its dissociation products (HCN and CNH) yields adenine
Anion⋅⋅⋅Anion Attraction in Complexes of MCl3− (M=Zn, Cd, Hg) with CN−
Authors: Wysokiński Rafał , Zierkiewicz Wiktor , Michalczyk Mariusz , Scheiner Steve 
Published: April 2020

AbstractHigh‐level ab initio calculations show that the MCl3− anions comprising Group 2B M atoms Zn, Cd, and Hg form a stable complex with the CN− anion, despite the like charge of the two ions. The complexation occurs despite a negative π‐hole region above the M atom of MCl3−. The dimerization distorts the planar geometry of MCl3− into a pyramidal shape which reduces the negative potential above the M atom, facilitating a close approach of the two anions, with R(M⋅⋅⋅C)∼2 Å, and an overall attractive electrostatic attraction within the dimer. In the gas phase, this dimer is less stable than the pair of separated ions by some 30 kcal/mol. However, the dissociation must surmount an energy barrier of roughly 25 kcal/mol which occurs at an intermolecular distance of 4 Å. In aqueous solution, the dimerization process is exothermic and barrier‐free, with a binding energy in the 11–18 kcal/mol range.
Optimizing Hydroxychloroquine Dosing for Patients With COVID‐19: An Integrative Modeling Approach for Effective Drug Repurposing
Authors: Garcia‐Cremades Maria , Solans Belen P. , Hughes Emma , Ernest Jacqueline P. , Wallender Erika , Aweeka Francesca , Luetkemeyer Anne F. , Savic Radojka M. 
Published: April 2020

Hydroxychloroquine (HCQ) is a promising candidate for Coronavirus disease of 2019 (COVID‐19) treatment. The optimal dosing of HCQ is unknown. Our goal was to integrate historic and emerging pharmacological and toxicity data to understand safe and efficacious HCQ dosing strategies for COVID‐19 treatment. The data sources included were (i) longitudinal clinical, pharmacokinetic (PK), and virologic data from patients with severe acute respiratory syndrome‐2 (SARS‐CoV‐2) infection who received HCQ with or without azithromycin (n = 116), (ii) in vitro viral replication data and SARS‐CoV‐2 viral load inhibition by HCQ, (iii) a population PK model of HCQ, and (iv) a model relating chloroquine PKs to corrected QT (QTc) prolongation. A mechanistic PK/virologic/QTc model for HCQ was developed and externally validated to predict SARS‐CoV‐2 rate of viral decline and QTc prolongation. SARS‐CoV‐2 viral decline was associated with HCQ PKs (P < 0.001). The extrapolated patient half‐maximal effective concentration (EC50) was 4.7 µM, comparable to the reported in vitro EC50s. HCQ doses > 400 mg b.i.d. for ≥5 days were predicted to rapidly decrease viral loads, reduce the proportion of patients with detectable SARS‐CoV‐2 infection, and shorten treatment courses, compared with lower dose (≤ 400 mg daily) regimens. However, HCQ doses > 600 mg b.i.d. were also predicted to prolong QTc intervals. This prolongation may have clinical implications warranting further safety assessment. Due to COVID‐19's variable natural history, lower dose HCQ regimens may be indistinguishable from controls. Evaluation of higher HCQ doses is needed to ensure adequate safety and efficacy.
Morphology, Motility, and Cytoskeletal Architecture of Breast Cancer Cells Depend on Keratin 19 and Substrate
Authors: Lam Van K. , Sharma Pooja , Nguyen Thanh , Nehmetallah Georges , Raub Christopher B. , Chung Byung Min 
Published: April 2020

AbstractCancer cells gain motility through events that accompany modulation of cell shape and include altered expression of keratins. However, the role of keratins in change of cancer cell architecture is not well understood. Therefore, we ablated the expression of keratin 19 (K19) in breast cancer cells of the MDA‐MB‐231 cell line and found that cells lacking K19 become more elongated in culture, with morphological reversion toward the parental phenotype upon transduction of KRT19. Also, the number of actin stress fibers and focal adhesions were significantly reduced in KRT19 knockout (KO) cells. The altered morphology of KRT19 KO cells was then characterized quantitatively using digital holographic microscopy (DHM), which not only confirmed the phenotypic change of KRT19 KO cells but also identified that the K19‐dependent morphological change is dependent on the substrate type. A new quantitative method of single cell analysis from DHM, via average phase difference maps, facilitated evaluation of K19–substrate interactive effects on cell morphology. When plated on collagen substrate, KRT19 KO cells were less elongated and resembled parental cells. Assessing single cell motility further showed that while KRT19 KO cells moved faster than parental cells on a rigid surface, this increase in motility became abrogated when cells were plated on collagen. Overall, our study suggests that K19 inhibits cell motility by regulating cell shape in a substrate‐dependent manner. Thus, this study provides a potential basis for the altered expression of keratins associated with change in cell shape and motility of cancer cells. © 2020 International Society for Advancement of Cytometry
Hypochloraemia and 30 day readmission rate in patients with acute decompensated heart failure
Authors: Marchenko Roman , Sigal Adam , Wasser Thomas E. , Reyer Jessica , Green Jared , Mercogliano Christopher , Khan Muhammad Sohail , Donato Anthony A. 
Published: April 2020

AbstractAimsDespite recent advances in guideline‐directed therapy, rehospitalization rates for acute decompensated heart failure (ADHF) remain high. Recently published studies demonstrated the emerging role of hypochloraemia as a predictor of poor outcomes in patients with ADHF. This study sought to determine the correlation between low serum chloride and 30 day hospital readmission in patients with ADHF.Methods and resultsWe retrospectively reviewed electronic medical records of 1504 patients who were admitted to one 700 bed US tertiary care centre with the diagnosis of ADHF between June 2013 and December 2014. Of the 1504 reviewed records, 1241 were selected for further analysis. Hypochloraemia (either on admission or at discharge) was identified in 289 patients (23.3%) and was associated with significantly higher 30 day hospital readmission rate or death (42.2% vs. 33.7%, P = 0.008). This association persisted in multivariate analysis when controlling for serum sodium, weight loss, diuretic dose, adjunct thiazide use, serum blood urea nitrogen, and BNP levels (OR: 1.35, 95% CI: 1.02–1.77, P = 0.033); however, the predictive value of the overall model was low (Naglkerke R2 = 0.040). Hypochloraemia was also found to be associated with increased 12 month mortality in our cohort (31.4% vs. 20.2%, P = 0.015) that correlates with the results of previously published studies.ConclusionsLow serum chloride measured in patients admitted for ADHF is independently but weakly associated with increased 30 day readmission rate and demonstrated low predictive value as a potential biomarker in this cohort.
Predicting sustained ventricular arrhythmias in dilated cardiomyopathy: a meta‐analysis and systematic review
Authors: Sammani Arjan , Kayvanpour Elham , Bosman Laurens P. , Sedaghat‐Hamedani Farbod , Proctor Tanja , Gi Weng‐Tein , Broezel Alicia , Jensen Katrin , Katus Hugo A. , te Riele Anneline S.J.M. , Meder Benjamin , Asselbergs Folkert W. 
Published: April 2020

AbstractAimsPatients with non‐ischaemic dilated cardiomyopathy (DCM) are at increased risk of sudden cardiac death. Identification of patients that may benefit from implantable cardioverter‐defibrillator implantation remains challenging. In this study, we aimed to determine predictors of sustained ventricular arrhythmias in patients with DCM.Methods and resultsWe searched MEDLINE/Embase for studies describing predictors of sustained ventricular arrhythmias in patients with DCM. Quality and bias were assessed using the Quality in Prognostic Studies tool, articles with high risk of bias in ≥2 areas were excluded. Unadjusted hazard ratios (HRs) of uniformly defined predictors were pooled, while all other predictors were evaluated in a systematic review. We included 55 studies (11 451 patients and 3.7 ± 2.3 years follow‐up). Crude annual event rate was 4.5%. Younger age [HR 0.82; 95% CI (0.74–1.00)], hypertension [HR 1.95; 95% CI (1.26–3.00)], prior sustained ventricular arrhythmia [HR 4.15; 95% CI (1.32–13.02)], left ventricular ejection fraction on ultrasound [HR 1.45; 95% CI (1.19–1.78)], left ventricular dilatation (HR 1.10), and presence of late gadolinium enhancement [HR 5.55; 95% CI (4.02–7.67)] were associated with arrhythmic outcome in pooled analyses. Prior non‐sustained ventricular arrhythmia and several genotypes [mutations in Phospholamban (PLN), Lamin A/C (LMNA), and Filamin‐C (FLNC)] were associated with arrhythmic outcome in non‐pooled analyses. Quality of evidence was moderate, and heterogeneity among studies was moderate to high.ConclusionsIn patients with DCM, the annual event rate of sustained ventricular arrhythmias is approximately 4.5%. This risk is considerably higher in younger patients with hypertension, prior (non‐)sustained ventricular arrhythmia, decreased left ventricular ejection fraction, left ventricular dilatation, late gadolinium enhancement, and genetic mutations (PLN, LMNA, and FLNC). These results may help determine appropriate candidates for implantable cardioverter‐defibrillator implantation.
A study on the responsiveness of the environment to international trade, energy consumption, and economic growth. The case of Ghana
Authors: Boamah Kofi Baah , Du Jianguo , Xu Lingyan , Nyarko Mensah Claudia , Khan Muhammad Aamir Shafique , Allotey Daniel Kpakpoe 
Published: April 2020

AbstractThe study examined the responsiveness of the environment of Ghana to changes in key economic indicators such as the international trade, energy consumption, urbanization, economic growth, and financial development. Our study utilized the ecological footprint as the indicator for environmental degradation as it encompasses the entire ecosystem that supports humankind consumption and activities. Consequently, the use of ecological footprint gives a clear and a bigger picture of environmental degradation than any individual pollutant(s). This study takes into cognizance the influence of structural break in the time series variables. The findings from the dynamic ordinary least square (DOLS) established the existence of an inverted N‐shaped environmental degradation‐economic growth relationship for Ghana under the cubic EKC framework. The ARDL bound testing approach confirmed the presence of long‐run cointegration among the variables. Furthermore, the bootstrap causality revealed a unidirectional causality running from energy consumption to export and urbanization to export. Our study, therefore, advocates for the production and consumption of enhanced energy‐efficient products and commodities among the populace of Ghana.
Evaluating indicators of marsh vulnerability to sea level rise along a historical marsh loss gradient
Authors: Schepers Lennert , Kirwan Matthew L. , Guntenspergen Glenn R. , Temmerman Stijn 
Published: April 2020

AbstractSea level rise (SLR) is threatening coastal marshes, leading to large‐scale marsh loss in several micro‐tidal systems. Early recognition of marsh vulnerability to SLR is critical in these systems to aid managers to take appropriate restoration or mitigation measures. However, it is not clear if current marsh vulnerability indicators correctly assess long‐term stability of the marsh system. In this study, two indicators of marsh stress were studied: (i) the skewness of the marsh elevation distribution, and (ii) the abundance of codominant species in mixtures. We combined high‐precision elevation measurements (GPS), LiDAR imagery, vegetation surveys and water level measurements to study these indicators in an organogenic micro‐tidal system (Blackwater River, Maryland, USA), where large‐scale historical conversion from marshes to shallow ponds resulted in a gradient of increasing marsh loss. The two indicators reveal increasingly stressed marshes along the marsh loss gradient, but suggest that the field site with the most marsh loss seems to experience less stress. For the latter site, previous research indicates that wind waves generated on interior marsh ponds contribute to lateral erosion of surrounding marsh edges and hence marsh loss. The eroded marsh sediment might temporarily provide the remaining marshes with the necessary sediment to keep up with relative SLR. However, this is only a short‐term alleviation, as lateral marsh edge erosion and sediment export lead to severe marsh loss in the long term. Our findings indicate that marsh elevation skewness and the abundance of codominant species in mixtures can be used to supplement existing marsh stress indicators, but that additional indices such as fetch length and the sediment budget should be included to account for lateral marsh erosion and sediment export and to correctly assess long‐term stability of micro‐tidal marshes. © 2020 John Wiley & Sons, Ltd.
Anticollision algorithm for radio frequency identification system with low memory requirements
Authors: Radić Joško , Šolić Petar , Škiljo Maja 
Published: April 2020

AbstractRadio Frequency Identification (RFID) is recognized as an essential technology for the development of the Internet of Things (IoT) concept. This is due to the possibility of object identification using passive tags which do not require batteries for their operation. Instead, tags are powered by the electromagnetic waves emitted from the reader and then the same electromagnetic wave is used as a carrier to reflect the modulated information about their unique serial number back to the reader. According to the EPCglobal Class‐1 Generation‐2 RFID standard, Dynamic frame slotted ALOHA procedure is used to solve the anticollision problem. Basically, a reader adjusts the frame length for the next reading round based on the estimated number of unread tags. To achieve high reading efficiency, an algorithm with accurate estimation of the remaining number of tags is required. The article shows that for the adjustment of the next frame length, only the number of collisions is relevant. A simple estimator for the frames with 64 slots is designed, and generalized for the frames of any length provided within the EPCglobal Class‐1 Generation‐2 standard. Contrary to existing solutions, which use more tables for storage of the estimated values depending on the frame length, proposed approach requires just one table. Also, the problem of estimation is reduced to dependence on the number of collisions only, while conventional approaches use the number of collisions and successful slots.
A pipeline‐friendly software tool for genome diagnostics to prioritize genes by matching patient symptoms to literature
Authors: van der Velde K. Joeri , van den Hoek Sander , van Dijk Freerk , Hendriksen Dennis , van Diemen Cleo C. , Johansson Lennart F. , Abbott Kristin M. , Deelen Patrick , Sikkema‐Raddatz Birgit , Swertz Morris A. 
Published: April 2020

AbstractDespite an explosive growth of next‐generation sequencing data, genome diagnostics only provides a molecular diagnosis to a minority of patients. Software tools that prioritize genes based on patient symptoms using known gene‐disease associations may complement variant filtering and interpretation to increase chances of success. However, many of these tools cannot be used in practice because they are embedded within variant prioritization algorithms, or exist as remote services that cannot be relied upon or are unacceptable because of legal/ethical barriers. In addition, many tools are not designed for command‐line usage, closed‐source, abandoned, or unavailable. We present Variant Interpretation using Biomedical literature Evidence (VIBE), a tool to prioritize disease genes based on Human Phenotype Ontology codes. VIBE is a locally installed executable that ensures operational availability and is built upon DisGeNET‐RDF, a comprehensive knowledge platform containing gene‐disease associations mostly from literature and variant‐disease associations mostly from curated source databases. VIBE's command‐line interface and output are designed for easy incorporation into bioinformatic pipelines that annotate and prioritize variants for further clinical interpretation. We evaluate VIBE in a benchmark based on 305 patient cases alongside seven other tools. Our results demonstrate that VIBE offers consistent performance with few cases missed, but we also find high complementarity among all tested tools. VIBE is a powerful, free, open source and locally installable solution for prioritizing genes based on patient symptoms. Project source code, documentation, benchmark and executables are available at https://github.com/molgenis/vibe.
How can aging be reversed? Exploring rejuvenation from a damage‐based perspective
Authors: Zhang Bohan , Gladyshev Vadim N. 
Published: April 2020

AbstractAdvanced age is associated with accumulation of damage and other deleterious changes and a consequential systemic decline of function. This decline affects all organs and systems in an organism, leading to their inadaptability to the environment, and therefore is thought to be inevitable for humans and most animal species. However, in vitro and in vivo application of reprogramming strategies, which convert somatic cells to induced pluripotent stem cells, has demonstrated that the aged cells can be rejuvenated. Moreover, the data and theoretical considerations suggest that reversing the biological age of somatic cells (from old to young) and de‐differentiating somatic cells into stem cells represent two distinct processes that take place during rejuvenation, and thus they may be differently targeted. We advance a stemness‐function model to explain these data and discuss a possibility of rejuvenation from the perspective of damage accumulation. In turn, this suggests approaches to achieve rejuvenation of cells in vitro and in vivo.
Performance enhancement of photovoltaic panels using two types of nanofluids
Authors: Ebaid Munzer S. Y. , Al‐busoul Mamdoh , Ghrair Ayoup M. 
Published: April 2020

AbstractOne of the main problems that limit the extensive use of photovoltaic (PV) systems is the increase in the temperature of PV panels. Overheating of a PV module decreases the performance of the output power by 0.4% to 0.5% per 1°C over its rated temperature that in most cases is 25°C. An effective way of improving electrical performance (power output and efficiency) and reducing the rate of thermal degradation of a PV module is to reduce the operating temperature of the PV surface by a cooling medium. To achieve this, nanofluids can be considered as a potentially effective solution for cooling. In this study, two types of nanofluids, namely Al2O3 and TiO2 water‐based mixture of different volume flow rates and concentrations (0.01%, 0.05%, and 0.1%) by weight, were used. Also, three PV panels were cooled simultaneously using nanofluids, water, and natural air, respectively. Results showed that nanofluids for cooling enhanced heat transfer rate much better than water and natural air. Best results were achieved for TiO2 nanofluids at the considered concentration (0.1 wt%). Nanofluid cooling of turbulent flows for such an application has not been investigated before. These results represent the first application of nanofluid cooling in the turbulent flow regimes and in outdoor conditions including real solar irradiation.