bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hybridized artificial neural network classifiers with a novel feature selection procedure based genetic algorithms and information complexity in credit scoring
Authors: Ilter Damla , Deniz Eylem , Kocadagli Ozan 
Published: March 2021

AbstractThe credit scoring is a statistical analysis performed by financial institutions to represent the creditworthiness of an individual or small and medium‐sized enterprise. A credit score is a numerical quantity that can be qualified by a rating label showing the potential risk. In order to determine which customers are likely to bring in the most revenue at the exact interest rate and credit limits, the lenders take into accounts these credit scores. In this context, the robust statistical models are inevitable to reduce the number of wrong decisions in the credit evaluation process. Although the machine learning approaches provide superior performance to conventional statistical methods, they are mostly criticized due to the selection of model structure, model complexity, tuning parameters, time consumption in the high‐dimensional and excessive nonlinear cases. For this reason, this study introduces an efficient model estimation and feature selection procedure for artificial neural network (ANN) classifiers in the context of credit scoring. Essentially, this procedure hybridizes training of ANNs with a novel feature selection approach based on genetic algorithms and information complexity criterion. In the application, the proposed procedure was performed on a couple of benchmark credit scoring datasets. According to analysis results, the proposed approach not only estimates robust models from ANNs in terms of model complexity, feature selection, and time consumption, but also outperforms the traditional training procedure for the classification accuracies, false positive, and false negative errors overtraining and test datasets.
The (In‐)Stability of the Ionic Liquids [(TMEDA)BH2][TFSI] and −[FSI] on the Li(001) Surface
Authors: Clarke‐Hannaford Jonathan , Breedon Michael , Rüther Thomas , Johansson Patrik , Spencer Michelle J. S. 
Published: March 2021

AbstractElectrolytes that can enable the use of a Li metal anode at a vast 3860 mAh/g, in place of currently used graphite anodes (372 mAh/g), are required for the advancement of next‐generation rechargeable Li batteries. Both quaternary ammonium and boronium (trimethylamine)(dimethylethylamine)dihydroborate [NNBH2]+ cation‐based ionic liquids (ILs) show high electrochemical stability windows and thermal stability for use in Li batteries. Cyclization of the former cation shows improved electrolyte stability compared to the open‐chain counterpart. However, it is not known whether this is the case for the cyclic derivative of [NNBH2]+, N,N,N’,N’‐tetramethylethylenediamine)dihydroborate [(TMEDA)BH2]+. Here, the details of the initial stages of solid−electrolyte interphase (SEI) layer formation on a lithium metal surface, Li(001), for the [(TMEDA)BH2]+ based ILs are revealed using density functional theory (DFT) calculations and ab initio molecular dynamics (AIMD) simulations. These indicate that [(TMEDA)BH2]+ remains intact, displaying a similarly weak interaction with the Li metal surface as the open‐chain analogue. The chemical stability shown by the boronium cation indicates spontaneous and unwanted side reactions with the Li anode are unlikely to occur, which could help to facilitate long‐term cycling stability of the battery. Altogether, the findings suggest the [(TMEDA)BH2]+ ILs, like their [NNBH2]+ IL counterparts, are viable candidates for rechargeable Li metal batteries.
Characterizing resting‐state networks in Parkinson’s disease: A multi‐aspect functional connectivity study
Authors: Ghasemi Mahdieh , Foroutannia Ali , Babajani‐Feremi Abbas 
Published: March 2021

AbstractPurposeResting‐state functional magnetic resonance imaging (Rs‐fMRI) can be used to investigate the alteration of resting‐state brain networks (RSNs) in patients with Parkinson's disease (PD) when compared with healthy controls (HCs). The aim of this study was to identify the differences between individual RSNs and reveal the most important discriminatory characteristic of RSNs between the HCs and PDs.MethodsThis study used Rs‐fMRI data of 23 patients with PD and 18 HCs. Group independent component analysis (ICA) was performed, and 23 components were extracted by spatially overlapping the components with a template RSN. The extracted components were used in the following three methods to compare RSNs of PD patients and HCs: (1) a subject‐specific score based on group RSNs and a dual‐regression approach (namely RSN scores); (2) voxel‐wise comparison of the RSNs in the PD patient and HC groups using a nonparametric permutation test; and (3) a hierarchical clustering analysis of RSNs in the PD patient and HC groups.ResultsThe results of RSN scores showed a significant decrease in connectivity in seven ICs in patients with PD compared with HCs, and this decrease was particularly striking on the lateral and medial posterior occipital cortices. The results of hierarchical clustering of the RSNs revealed that the cluster of the default mode network breaks down into the three other clusters in PD patients.ConclusionWe found various characteristics of the alteration of the RSNs in PD patients compared with HCs. Our results suggest that different characteristics of RSNs provide insights into the biological mechanism of PD.
Complications following REM sleep behavior disorder
Authors: Schaeffer Eva , Berg Daniela 
Published: March 2021

AbstractREM sleep behavior disorder (RBD) is gaining increasing attention as important prodromal marker for the development of neurodegenerative disorders such as Parkinson's Disease. However, the clinical relevance of this disorder and its association with other prodromal markers is often underestimated in clinical routine. We here report a case of severe clinical complications following extensive nocturnal movements due to RBD, aggravated by occurrence of additional prodromal non‐motor symptoms. This case stresses the importance of recognizing RBD as a multisystem disease by all clinical disciplines.
Influence of the entrepreneur's capacity in business performance
Authors: Teruel‐Sánchez Ricardo , Briones‐Peñalver Antonio Juan , Bernal‐Conesa Juan Andrés , de Nieves‐Nieto Carmen 
Published: March 2021

AbstractThe article presents a theoretical model of the entrepreneur's capacities and their influence on business performance. Starting from the traditional theory of dynamic capacities, those related to entrepreneurship and/or that influence the entrepreneur's capacities are identified, determining factors such as training, experience and confidence. In addition, other factors such as the environmental and institutional environment have been taken into account as they affect the entrepreneurship. For this purpose, a study was carried out with the Smart PLS software in a sample of companies in the tourism sector in the Mar Menor Region (Spain). An essential factor in the development of entrepreneurship in the region is the sustainability of the coastal lagoon. Some considerations are obtained from the study of the factors that determine the model of capacities, in which the confidence of the entrepreneur and the environmental sustainability, exert a positive and significant influence in the business performance. Furthermore, among the mentioned capacities of the entrepreneurial influence, experience and trust are the ones that most influence the success of the tourism business.
Growth and differentiation factor 15 and NF‐κB expression in benign prostatic biopsies and risk of subsequent prostate cancer detection
Authors: Rybicki Benjamin A. , Sadasivan Sudha M. , Chen Yalei , Kravtsov Oleksandr , Palangmonthip Watchareepohn , Arora Kanika , Gupta Nilesh S. , Williamson Sean , Bobbitt Kevin , Chitale Dhananjay A. , Tang Deliang , Rundle Andrew G. , Iczkowski Kenneth A. 
Published: March 2021

ABSTRACTGrowth and differentiation factor 15 (GDF‐15), also known as macrophage inhibitory cytokine 1 (MIC‐1), may act as both a tumor suppressor and promotor and, by regulating NF‐κB and macrophage signaling, promote early prostate carcinogenesis. To determine whether expression of these two inflammation‐related proteins affect prostate cancer susceptibility, dual immunostaining of benign prostate biopsies for GDF‐15 and NF‐κB was done in a study of 503 case‐control pairs matched on date, age, and race, nested within a historical cohort of 10,478 men. GDF‐15 and NF‐κB expression levels were positively correlated (r = 0.39; p < 0.0001), and both were significantly lower in African American (AA) compared with White men. In adjusted models that included both markers, the odds ratio (OR) for NF‐κB expression was statistically significant, OR =0.87; p = 0.03; 95% confidence interval (CI) =0.77–0.99, while GDF‐15 expression was associated with a nominally increased risk, OR =1.06; p = 0.27; 95% CI =0.96–1.17. When modeling expression levels by quartiles, the highest quartile of NF‐κB expression was associated with almost a fifty percent reduction in prostate cancer risk (OR =0.51; p = 0.03; 95% CI =0.29–0.92). In stratified models, NF‐κB had the strongest negative association with prostate cancer in non‐aggressive cases (p = 0.03), older men (p = 0.03), and in case‐control pairs with longer follow‐up (p = 0.02). Risk associated with GDF‐15 expression was best fit using nonlinear regression modeling where both first (p = 0.02) and second (p = 0.03) order GDF‐15 risk terms were associated with significantly increased risk. This modeling approach also revealed significantly increased risk associated with GDF‐15 expression for subsamples defined by AA race, aggressive disease, younger age, and in case‐control pairs with longer follow‐up. Therefore, although positively correlated in benign prostatic biopsies, NF‐κB and GDF‐15 expression appear to exert opposite effects on risk of prostate tumor development.
Influence of Confinement on Barriers for Alkoxide Formation in Acidic Zeolites
Authors: Fečík Michal , Plessow Philipp N. , Studt Felix 
Published: March 2021

AbstractThe influence of the confinement imposed by eight different zeotypes on the formation of the alkoxides of 13 primary alcohols is studied using dispersion corrected density functional theory calculations with the PBE‐D3 functional. Adsorption energies of the alcohols are computed along with barriers for formation of the alkoxides, which is the first step of the stepwise dehydration mechanism. We find that variations in the adsorption and transition state energies are largely governed by van der Waals interactions between substrates and the zeolite framework. Trends between different reactants, on the other hand, are largely due to the size of the molecules, which can be described quantitatively by the number of atoms constituting them. We find that the stabilization of adsorbates is largest for frameworks that are neither too small, leading to repulsive interaction, nor too spacious leading only to weak interaction.
Influence diagnostics in the inverse Gaussian ridge regression model: Applications in chemometrics
Authors: Amin Muhammad , Faisal Muhammad , Akram Muhammad Nauman 
Published: March 2021

AbstractThe influential observation affects the regression model inferences. Literature has shown that the problems of multicollinearity and influential observations can jointly exist in a model. The ridge regression estimator has been developed to handle the challenge of multicollinearity. The detection of influential observations with multicollinearity and its impact on the ridge estimates is necessary for better decision making. In this article, we proposed some influence diagnostics for the inverse Gaussian ridge regression model (IGRRM). The proposed diagnostics are evaluated with the help of a simulation study and two chemometric‐related data sets. We found that the covariance ratio (CVR) method is better than other methods for the detection of influential observations under smaller dispersion. While for larger dispersion, all the IGRRM diagnostics perform equally well for the identification of influential observations.
Combinations of self‐reported rhinitis, conjunctivitis, and asthma predicts IgE sensitization in more than 25,000 Danes
Authors: Mikkelsen Susan , Dinh Khoa Manh , Boldsen Jens Kjærgaard , Pedersen Ole Birger , Holst Gitte Juel , Petersen Mikkel Steen , Kaspersen Kathrine Agergård , Møller Bjarne Kuno , Nielsen Kaspar Rene , Paarup Helene Martina , Rostgaard Klaus , Hjalgrim Henrik , Sørensen Erik , Handgaard Linda Jenny , Hansen Thomas Folkmann , Banasik Karina , Burgdorf Kristoffer Sølvsten , Ullum Henrik , Sigsgaard Torben , Erikstrup Christian 
Published: March 2021

AbstractBackgroundAllergic rhinitis (AR), allergic conjunctivitis (AC), and asthma composing multiple phenotypes and improved understanding of these phenotypes and their respective risk factors are needed.ObjectivesThe objective of this study was to define the prevalence of AR, AC, and asthma and their association with allergen‐specific immunoglobulin E (sIgE) sensitization in a large cohort of blood donors and identify risk factors.MethodsFrom the nationwide population‐based Danish Blood Donor Study, 52,976 participants completed an electronic questionnaire including AR, AC, asthma, allergic predisposition, and childhood residence. Of these, 25,257 were additionally tested for sIgE to inhalation allergens (Phadiatop).ResultsThe prevalence of sIgE sensitization, AR, AC, and asthma was 30%, 19%, 15%, and 9%, respectively. The youngest birth cohorts had the highest prevalence of sIgE sensitization and symptoms of asthma, AR, and AC, and for asthma, they apparently experienced symptoms at an earlier age. The sIgE sensitization was positively associated with male sex. The sIgE seroprevalence was higher in participants with both AR and AC (ARC) than in participants with either AR or AC. Allergic predisposition and sIgE sensitization increased the risk of the diseases, while farm upbringing was associated with reduced prevalence of ARC, however, only in sIgE sensitized participants.ConclusionBirth year, childhood residence, sIgE sensitization, and allergic predisposition were associated with asthma, AR, and AC prevalence. Individuals with self‐reported ARC represent a primarily sIgE‐positive phenotype, while those with either AR or AC represent more diverse phenotypes.
Application of Nanomaterials in Aqueous Redox Flow Batteries
Authors: Long Yong , Ding Mei , Jia Chuankun 
Published: March 2021

AbstractIt is challenging to directly integrate renewable energies into the grid due to the inherent random and intermittent nature. Electrochemical energy storage techniques which can balance the intermittent production and smooth consumption are effective routes to fulfill the highly penetration of renewable energy sources. Among them, redox flow batteries (RFBs) are regarded as promising large‐scale energy storage and conversion devices attributed to the flexible design, long lifetime and high safety. Electrode and ion exchange membrane materials have crucial influences on cell performance of RFBs in terms of efficiency, rate performance, output power density and cyclability. Application of nanomaterials to obtain advanced electrode and membrane materials has prompt improvements of aqueous RFBs. This minireview includes the design, synthesis, and application of nanomaterials in preparation of both electrodes and ion exchange membranes for aqueous RFBs. Furthermore, current challenges and future prospects of application of nanomaterials in aqueous RFBs are outlined. We expect to provide a guide for the fabrication of advanced electrodes and membranes incorporation of nanomaterials towards high performance and low cost RFBs in future.
Targeting Guanine Quadruplexes with Luminescent Platinum(II) Complexes Bearing a Pendant Nucleobase
Authors: Guha Rweetuparna , Defayay Denise , Hepp Alexander , Müller Jens 
Published: March 2021

AbstractGuanine quadruplexes are tetra‐stranded nucleic acid structures currently raising significant interest in the context of the development of potential anticancer therapeutics with a new mode of action. They are composed of planar guanine tetrads, allowing a high‐affinity targeting by using molecules with a large π surface. However, the extreme topological versatility of guanine quadruplexes impedes a straightforward targeting of particular preselected guanine‐rich sequences. We report here a systematic study of a family of luminescent platinum(II) complexes devised to overcome this challenge. By attaching a pendant adenine or thymine nucleobase as a substituent to one of the ligands at the platinum center, an additional recognition site is introduced with the aim of modulating the affinity of the metal complex to different DNA sequences. By comparing different attached nucleobases and a series of linker moieties, first conclusions are drawn with respect to the scope of this approach.
Cluster‐based data transmission scheme in wireless sensor networks using black hole and ant colony algorithms
Authors: Sefati Seyedsalar , Abdi Mehrdad , Ghaffari Ali 
Published: March 2021

SummarySince sensor nodes use limited battery power, sensor nodes power is considered to be a challenge and fundamental issue in wireless networks. Wireless sensor networks (WSNs) have recently used clustering‐based methods and different routing protocols in clusters which are full of sensor nodes. In this way, cluster heads (CHs), which are regarded as the selected nodes among other nodes within a given cluster, accumulate the information transmitted from their own cluster and send it to the sink. In this method, they try to control power consumption in a balanced way. In clustering method and routing among network nodes, network lifetime is enhanced which leads to achieving the best efficiency and productivity. In this paper, the optimized black hole algorithm is employed to select an optimal CH from sensor nodes. The CH selection is optimized by the free buffer of nodes, residual energy, and distance. The path between source CH and sink is identified by using ant colony optimization (ACO) algorithm. The combination of black hole algorithm and ant colony algorithm, with respect to clustering and routing, leads to the optimization of the proposed method in terms of operational criteria such as power consumption and eventually lifetime enhancement. The results obtained from simulating the proposed method in Matlab environment indicated that it has better results in comparison with other methods. The outputs of the obtained results from the proposed method indicated that it outperformed the other four comparative methods in terms of packet delivery rate and the number of transmitted packets to the CH and to the sink.
Alternative reproductive tactics in male freshwater fish influence the accuracy of species recognition
Authors: Fujimoto Shingo , Tsurui‐Sato Kaori , Katsube Naotaka , Tatsuta Haruki , Tsuji Kazuki 
Published: March 2021

AbstractSexual conflict can result in coercive mating. Because males bear low costs of heterospecific mating, coercive males may engage in misdirected mating attempts toward heterospecific females. In contrast, sexual selection through consensual mate choice can cause mate recognition cues among species to diverge, leading to more accurate species recognition. Some species show both coercive mating and mate choice‐associated courtship behaviors as male alternative reproductive tactics. We hypothesized that if the selection pressures on each tactic differ, then the accuracy of species recognition would also change depending on the mating tactic adopted. We tested this hypothesis in the guppy (Poecilia reticulata) and mosquitofish (Gambusia affinis) by a series of choice experiments. Poecilia reticulata and G. affinis males both showed imperfect species recognition and directed all components of mating behavior toward heterospecific females. They tended to direct courtship displays more frequently toward conspecific than heterospecific females. With male P. reticulata, however, accurate species recognition disappeared when they attempted coercive copulation: they directed coercions more frequently toward heterospecific females. We also found that heterospecific sexual interaction had little effect on the fecundity of gravid females, which suggests that prepregnancy interactions likely underpin the exclusion of G. affinis by P. reticulata in our region.
A detailed mangrove map of China for 2019 derived from Sentinel‐1 and ‐2 images and Google Earth images
Authors: Zhao Chuan‐Peng , Qin Cheng‐Zhi 
Published: March 2021

AbstractMangroves straddle terrestrial and marine ecosystems, thus are relevant to many United Nations Sustainable Development Goals (SDG), especially to SDG‐13 and SDG‐14, as they are linked to blue carbon strategies and fisheries. To better achieve SDGs, China has been restoring mangroves for their ecological and societal values through strict protection and afforestation, even in areas beyond their natural northern limits. However, small fragmented mangrove patches, especially those in marginal climates, have been historically neglected by existing mangrove maps, which, because they were derived from 30‐m‐resolution Landsat data, are too coarse to resolve them. To overcome this problem, we applied a classification to 10‐m‐resolution Sentinel‐1 and ‐2 images for 2019 and then an enhanced post‐processing to identify missing mangrove patches by utilizing Google Earth images. Thus, we produced the first publicly accessible detailed mangrove map supplementing the main 10‐m‐resolution results with submetre data from Google Earth images. According to general quantitative evaluations, the produced map achieved an overall accuracy of 96.4 ± 0.3% based on validation data sets, an accuracy of 96.2% based on a total of 1,096 field sample plots. By evaluations in marginal climates, the produced map identified six areas with a total of seven mangrove planting areas, which is twice the number of identified areas by current publicly accessible mangrove maps. The produced map also outperformed the competitors in the identification of small mangrove patches in suitable climates, and in the determination of neat and tidy boundaries of large mangrove patches. The map paid attention to these small mangrove patches because they can provide substantial ecosystem services, such as increasing the community diversity and providing habitats for local species. The map does not only serve as a basis for mangrove species mapping, leaf area index estimation and carbon stock assessment, but also improves other mangrove maps by mutual corrections.
A Matter of Justice: “Fat” Is Not Necessarily a Bad Word
Authors: Freeman Lauren 
Published: March 2021

AbstractThis essay argues that the discrimination that fat patients face is an issue of health justice. Insofar as this is the case, bioethicists and health care providers should not only care about it but also work to dismantle the systematic, institutional, social, and individual factors that are contributing to it to ensure that fat patients receive high‐quality health care, free of stigma and discrimination. The essay discusses a variety of ways in which fat patients are discriminated against and considers the false assumptions that fuel such discrimination. It concludes by considering the structural and social issues that contribute to fatness and pushes health care providers to abandon the assumption that being fat is an individual moral failing. Ultimately, the paper argues, “fat” is not necessarily a bad word, nor one that health care providers should avoid.