bluuebunny/crossref_metadata_2025_split huggingface dataset:
Does integrated reporting quality matter to capital markets? Empirical evidence from voluntary adopters
Authors: Leukhardt Luca , Charifzadeh Michel , Diefenbach Fabian 
Published: May 2022

AbstractThis study examines the relevance of integrated reporting quality (IRQ) to capital markets. We investigate whether IRQ benefits capital market participants by improving a firm's information environment, using analyst earnings forecast accuracy as a proxy. Our study focuses specifically on companies that publish integrated reports on a voluntary basis. Based on a scoring model, we assess IRQ and its effects with data from 2015 to 2019 of 101 companies. The results indicate no significant relationship between IRQ and analyst earnings forecast accuracy. Thus, IRQ does not appear to improve a firm's information environment, at least not currently in a voluntary setting. Drawing on previous literature in the field, this study further concludes that integrated reporting (IR) in general has not yet reached its full potential in benefitting capital markets. Potential implications of our results are that the standard setters should work to improve the specificity and rigor of their guidelines, and analysts should become more involved in developing IR guidelines to make them more relevant to their information needs. IR seems to unfold its benefits better in mandatory settings, which could call for regulators to make IR mandatory.
Plant–animal interactions in the era of environmental DNA (eDNA)—A review
Authors: Banerjee Pritam , Stewart Kathryn A. , Antognazza Caterina M. , Bunholi Ingrid V. , Deiner Kristy , Barnes Matthew A. , Saha Santanu , Verdier Héloïse , Doi Hideyuki , Maity Jyoti Prakash , Chan Michael W. Y. , Chen Chien Yen 
Published: May 2022

AbstractPlant–animal interactions (PAI) represent major channels of energy transfer through ecosystems, where both positive and antagonistic interactions simultaneously contribute to ecosystem functioning. Monitoring PAI therefore increases the understanding of environmental health, integrity, and functioning, and studying complex interactions through accurate, cost‐effective sampling can aid in the management of detrimental anthropogenic impacts. Environmental DNA (eDNA)‐based monitoring represents an increasingly common, nondestructive approach for biodiversity monitoring, which could help to elucidate PAI. Here, we aim to provide an overall discussion on the potential of using eDNA to study PAI. We assessed the existing literature on this subject from 2009 to 2021 using a freely accessible web search tool. The search was conducted by using keywords involving eDNA and PAI, including both species‐specific and metabarcoding approaches, recovering 43 studies. We summarized the advantages and current limitations of such approaches, and we outline research priorities to improve future eDNA‐based methods for PAI analysis. Among the 43 studies identified using eDNA to measure PAI such as pollination, herbivory, mutualistic, and parasitic relationships, they have often identified higher taxonomic diversity in several direct comparisons with DNA‐based gut/bulk sampling and conventional survey methods. Research needs include the following: better understanding of the influencing factors of eDNA detection involved in PAI (e.g., eDNA degradation, origin, and types), methodological standardization (sampling methods and primer development), and more inclusive sequence reference databases. If these research priorities are addressed, it will have a significant impact to enable PAI biodiversity monitoring with eDNA. In the future, the implementation of eDNA methods to study PAI can particularly benefit the scalability of environmental biomonitoring surveys that are imperative for ecosystem health assessments.
Molecular engineering regulation redox‐dual‐active‐center covalent organic frameworks‐based anode for high‐performance Li storage
Authors: Zhao Genfu , Sun Yongjiang , Yang Yongxin , Zhang Conghui , An Qi , Guo Hong 
Published: May 2022

AbstractCovalent organic frameworks (COFs) show considerable attention and potential value in energy storage and conversion. However, design and preparation novel dual‐active‐center modified COFs for high‐performance Li storage and accelerating Li diffusion are still challengeable. In this work, we synthesize dual‐active‐group of CN and CO decorated COF (denoted as Tp‐Ta‐COF) as the anode material for lithium‐ion batteries (LIBs). Benefiting from the dual‐active‐site, the Li+ diffusion kinetics on the Tp‐Ta‐COF are improved and Tp‐Ta‐COF electrode delivers high reversible capacity of 413 mAh g−1 under current density with 200 mA g−1. Moreover, 18 Li+ can be embed in Tp‐Ta‐COF with CN and CO containers. The mechanism between Li+ and active‐site is deeply deduced and studied by multiple in situ techniques and density functional theory (DFT) theoretical calculation, suggesting interactions of Li+ and active‐group are highly reversible procedures. Consequently, we expect this work could create a universal strategy for construction high‐performance Li storage COF‐based materials.image
Electrocatalytic study of cu/Ni MOF and its g‐C3N4 composites for methanol oxidation reaction
Authors: Abbasi Muzzamil , Noor Tayyaba , Iqbal Naseem , Zaman Neelam 
Published: May 2022

SummaryGraphitic carbon nitride is of interest for its intercalation, ion exchange, and redox properties as it exhibits high catalytic activity. Besides, its high nitrogen content and facile synthesis procedure may provide a good balance between activity and durability. We report novel g‐C3N4 based MOF as a novel electrocatalyst for methanol oxidation reaction (MOR). Two methods are involved in the catalytic synthesis, namely the hydrothermal method for the Cu/Ni MOF and its composites synthesis, and g‐C3N4 is obtained by pyrolysis of melamine. To explore the structural and morphological properties, all the catalysts were eventually characterized using XRD, FTIR, SEM, and EDX techniques, whereas cyclic voltammetry (CV) revealed the electrochemical response for the oxidation of methanol in 3 M methanol and 1 M NaOH on modified glassy carbon electrode (GCE). The electrochemical results illustrate that as the amount of g‐C3N4 increases current density for methanol oxidation reaction (MOR). The maximum current density is 103.42 mA/cm2 shown by Cu/Ni MOF@5 wt% g‐C3N4 at 0.9 V while the scan rate is 50 mV/s. Thus, graphitic carbon nitride addition in MOF composites enhanced its durability and high carbon monoxide (CO) tolerance makes active catalysts in alkaline electrolyte.
Radical reactivity evaluation for the identification of electrolyte materials involved in electrode–electrolyte interphase formation
Authors: Choi Jihoon , Han Young‐Kyu 
Published: May 2022

SummaryThe use of Li metal anodes for secondary batteries is a major challenge in the academe. To address the issues associated with this, there is active research to obtain electrolytes for the effective use of Li metal anodes. Specifically, there is considerable attention on improving the oxidation stability and suppressing the dendrite formations of Li metal through the formation of a passivation film on cathode and anode surfaces. However, there is limited knowledge on the correlation between electrolyte molecules and formation of passivation films at a molecular level, which prevents the efficient development of high‐performance electrolytes. In this work, we analyze reported experimental results on materials that contribute to the formation of cathode and anode films in widely used ether‐based electrolytes through first‐principles calculations. The oxidation and reduction energies are found to be insufficient in examining the influencing materials of the cathode and anode films. In addition, the evaluation of the reactivity of the radicals involved in the oxidation/reduction process is noted to be the most simple and effective method to explain the experimental results in electrolyte materials. Therefore, radical reactivity is important in interpreting experimental phenomena and efficiently determining the desired film‐forming materials among a myriad of organic materials.
An adaptive spherical square‐root double unscented Kalman filtering algorithm for estimating state‐of‐charge of lithium‐ion batteries
Authors: Jia Xianyi , Wang Shunli , Qiao Jialu , Cao Wen 
Published: May 2022

SummaryAccurate estimation of the charged state of lithium‐ion batteries is very important for the application and development of lithium‐ion batteries, it is directly related to whether or not the lithium‐ion battery is safe and reliable during use. Based on the traditional unscented Kalman filter algorithm (UKF), the square root of the state variable error covariance matrix is used for iterative calculation variables in this paper, and the method solves the problem that the traditional (UKF) algorithm may make the covariance matrix negative when measuring SOC; two spherical Unscented transformations (UT) are selected to replace the one traditional Unscented transformation, it avoids the complexity of the process of adjusting parameters, and it also changes shortcomings of filtering divergence caused by the uncertainty of system noise and observation noise; the adaptive covariance matching of noise is introduced, which can automatically update and transfer the noise covariance matrix, and it also makes the noise closer to the real situation. The improved algorithm is called the adaptive spherical square‐root double unscented Kalman filter algorithm (ASSR‐DUKF). The experimental results show that the improved ASSR‐DUKF algorithm can better estimate the SOC of the lithium‐ion battery through the second‐order RC equivalent circuit. The mean absolute errors of HPPC, BBDST, and DST are 0.53%, 0.39%, and 1.08%; the root mean square errors under three working conditions are 0.70%, 0.62%, and 1.22%; the convergence times under the three working conditions are 60, 110, and 74 s. It can be seen that the ASSR‐DUKF algorithm has higher Estimate accuracy, better convergence, and better robustness.
The synthesis of Ni/Mn hexacyanoferrate microcubes and nanorods for high‐performance asymmetric supercapacitor in neutral electrolyte
Authors: Yang Yu Jun , Wang Ningya , Chen Songyang , Jiang Chenjia , Yang Panxiang , Liu Mengxiao , Cheng Yao 
Published: May 2022

SummaryA novel composite (Ni/Mn‐HCF) was directly synthesized on carbon cloth (CC) with a facile hydrothermal method following the galvanostatic electrodeposition of Ni. Ni/Mn‐HCF on CC (Ni/Mn‐HCF/CC) demonstrates a unique morphology with nanorods uniformly distributed on microcubes, which endows Ni/Mn‐HCF/CC enormous surface to facilitate rapid charge/ion transportation on the electrode/electrolyte interface and provides more active sites for ions adsorption/exchange. Ni/Mn‐HCF/CC demonstrated enhanced electrochemical performances such as high areal capacity, extraordinary rate performance and excellent cycling stability. A wide operational voltage window of 2.0 V, high energy density of 3.2 W h m−2 at 49.8 W m−2, and 109.24% capacity retention after 2000 cycles were realized on the as‐fabricated novel asymmetric supercapacitor (ASC) device in 1.0 M Na2SO4 aqueous solution. The notable supercapacitive performances suggest that the ASC device has a great perspective for future energy storage applications.
Diluted Bitumen Affects Multiple Physiological Systems in Sockeye Salmon (Oncorhynchus nerka) Embryo to Juvenile Life Stages
Authors: Lin Feng , Alderman Sarah L. , Gillis Todd E. , Kennedy Christopher J. 
Published: May 2022

Abstract
An understanding of the risks associated with diluted bitumen (dilbit) transport through Pacific salmon habitat necessitates the identification and quantification of hazards posed to early life stages. Sockeye from the embryo to juvenile stage (8 months old) were exposed to four concentrations of the water-soluble fraction of Cold Lake dilbit (summer blend; concentrations of 0, 13.7, 34.7, and 124.5 μg/L total polycyclic aromatic compounds). Significant mortality (up to 18% over controls) only occurred in the embryo to swim-up fry stage. Impaired growth was seen in the alevin, swim-up, and juvenile stages (maximum reduction 15% in mass but not fork length). Reductions in both critical (maximum 24% reductions) and burst (maximum 47% reductions) swimming speed in swim-up fry and juveniles were seen. Alterations in energy substrate reserves (reductions in soluble protein and glycogen content, elevations in whole-body lipid and triglyceride levels) at all stages may underlie the effects seen in swimming and growth. Dilbit exposure induced a preexercise physiological stress response that affected the recovery of postexercise biochemistry (cortisol, glycogen, lactate, triglyceride concentrations). The transcript abundance of the cytochrome P450 1A gene (cyp1a) was quantified in alevin head regions (containing the heart) and in the hearts of swim-up fry and juveniles and showed a concentration-dependent increase in the expression of cyp1a at all life stages. Environ Toxicol Chem 2022;41:1937–1949. © 2022 SETAC
Intrusion detection framework for securing privacy attack in cloud computing environment using DCCGAN‐RFOA
Authors: Devi K. , Muthusenthil B. 
Published: May 2022

AbstractCloud computing (CC) is vulnerable for the attacks of current information technology, because it prolongs and uses the information technology infrastructure, traditional operating system, and applications. Several security issues in detecting irregular network performances are confronted by the CC environment. With the intention of solving these security issues, dual‐channel capsule generation adversarial network optimized with red fox optimization algorithm fostered intrusion detection framework (IDS‐CC‐DCCGAN‐RFOA) is proposed in this article, for securing the privacy attacks in CC environment. Initially, the data are taken from NSL‐KDD benchmark dataset. Then the data are given to the preprocessing segment. When using the developed random forest and local least squares in preprocessing segment, the redundancy, and missing values are purged. Then the output of preprocessing is given to the feature selection stage. In feature selection, the optimal features are extracted using univariate ensemble feature selection (UEFS) technique. Based on the optimal features, the data are classified into secured data and privacy attack data based on dual‐channel capsule generative adversarial network. Here, the weight of dual‐channel capsule generative adversarial network is optimally tuned using the red fox optimization algorithm for generating an effective and optimal solution to detect the intruders. The proposed IDS‐CC‐DCCGAN‐RFOA method is implemented in MATLAB. Here, the performance metrics, like accuracy, specificity, sensitivity, F‐score, precision, false positive rate, AUC are analyzed. Then, the proposed IDS‐CC‐CCGAN‐WSOA method provides 13.9367%, 11.12%, 13.268%, and 13.739% higher accuracy and 24.54%, 29.76%, 12.87%, and 34.21% higher sensitivity compared with the existing methods, like intrusion detection framework in cloud computing using deep belief network with salp swarm algorithm (IDS‐CC‐DBN‐CSSA), intrusion detection framework in cloud computing using deep neural network with improved genetic algorithm and simulated annealing algorithm (IDS‐CC‐DNN‐IGASAA), intrusion detection for cloud computing using multilayer perceptron neural network and artificial bee colony optimization algorithm (IDS‐CC‐MLPNN‐ABC), and intrusion detection for cloud computing using recurrent convolutional neural network with ant lion optimization algorithm (IDS‐CC‐RCNN‐ALO).
Improved implicit potential method for incompressible flows on a fully collocated mesh
Authors: Vafakos Georgios P. , Kafkas Angelos , Papadopoulos Polycarpos K. 
Published: May 2022

AbstractIn the present work, we present a new version of the pressure‐based implicit potential (IPOT) method for incompressible flows, which can be applied on a fully collocated mesh. The new version combines the IPOT algorithm with the Rhie and Chow (RC) technique, to produce solutions on collocated grids that are free of spurious pressure modes. The IPOT‐RC method retains all the benefits of the original algorithm, i.e. explicit velocity–pressure coupling, easy implementation and reduced iteration time, without requiring a special grid topology. The presentation of the IPOT‐RC method is accompanied by an extensive discussion on the cause of the spurious oscillations in zero‐div problems in general, and a possible cure that is linked to the RC technique. The IPOT‐RC method is validated through several benchmark problems including the lid‐driven cavity flow, flow over a backward facing step and direct numerical simulation of turbulent channel flow.
Trajectories of brain white matter development in young children with prenatal alcohol exposure
Authors: Kar Preeti , Reynolds Jess E. , Gibbard William Ben , McMorris Carly , Tortorelli Christina , Lebel Catherine 
Published: May 2022

AbstractPrenatal alcohol exposure (PAE) is associated with alterations to brain white matter microstructure. Previous studies of PAE have demonstrated different findings in young children compared to older children and adolescents, suggesting altered developmental trajectories and highlighting the need for longitudinal research. 122 datasets in 54 children with PAE (27 males) and 196 datasets in 89 children without PAE (45 males) were included in this analysis. Children underwent diffusion tensor imaging between 2 and 8 years of age, returning approximately every 6 months. Mean fractional anisotropy (FA) and mean diffusivity (MD) were obtained for 10 major brain white matter tracts and examined for age‐related changes using linear mixed effects models with age, sex, group (PAE vs. control) and an age‐by‐group interaction. Children with PAE had slower decreases of MD over time in the genu of the corpus callosum, inferior fronto‐occipital fasciculus, inferior longitudinal fasciculus, and uncinate fasciculus. No significant age‐by‐group interactions were noted for FA. These findings show slower white matter development in young children with PAE than in unexposed controls. This connects previous cross‐sectional findings of lower MD in young children with PAE to findings of higher MD in older children and adolescents with PAE, and further helps to understand brain development in children with PAE. This deviation from typical development trajectories may reflect altered brain plasticity, which has implications for cognitive and behavioral learning in children with PAE.
Depression mediates the association between insula‐frontal functional connectivity and social interaction anxiety
Authors: Zhao Weihua , Zhang Xiaolu , Zhou Xinqi , Song Xinwei , Zhang Zhao , Xu Lei , Zhou Feng , Kendrick Keith M. 
Published: May 2022

AbstractHigh rates of comorbidity between depression and anxiety are frequently observed. However, few studies have investigated the relationship between depression and social interaction anxiety using a dimensional approach. The current study aimed to explore the associations between depression and social interaction anxiety with a multivariate approach in a comparably large dataset (n = 194, 95 males). All participants completed a structural and a resting‐state functional magnetic resonance imaging (fMRI) scan and self‐report measures of depression via Beck's Depression Inventory II and social interaction anxiety by social interaction anxiety scale. Voxel‐based morphometry (VBM) results first identified grey matter volumes of insula were positively correlated with depression dimension scores. Next, whole brain seed‐to‐voxel analyses were conducted using a VBM‐identified insula as a seed region to examine associations between depression/social anxiety and functional connectivity. The results suggested that a significant positive effect of depression/social anxiety was found on the connectivity between insula and dorsal lateral prefrontal cortex (dlPFC). Moreover, variations in depression meditated the association between insula‐dlPFC connectivity and social interaction anxiety. Overall, the results indicate that individual differences in depression relate more to insula‐dlPFC coupling compared to social interaction anxiety.
The 2015 American Thyroid Association guidelines and trends in hemithyroidectomy utilization for pediatric thyroid cancer
Authors: Stein Eli , Raval Mehul V. , Hazkani Inbal , Reiter Audra , Josefson Jami L. , Samis Jill H. , Rastatter Jeffrey C. 
Published: May 2022

AbstractBackgroundIn 2015, the American Thyroid Association (ATA) released its inaugural recommendations for the management of thyroid cancer in children. We aim to evaluate whether there has been a change in hemithyroidectomy utilization for pediatric differentiated thyroid cancer, and the association between those changes and the release of the ATA guidelines.MethodsThe National Cancer Database was queried and identified 4776 patients ≤18 years old with differentiated thyroid cancer. Causal impact time‐series analysis and logistic analysis were utilized to assess factors associated with use of hemithyroidectomy.ResultsPost‐2015 hemithyroidectomy rate was greater than predicted based on preguideline trends (predicted: 8.4%, actual: 12.6%, p = 0.001). In logistic analysis of factors associated with hemithyroidectomy use, we find that Papillary histology, tumor size >1 cm, nodal examination, and positive nodes were associated with lower rate of hemithyroidectomy (OR: 0.23, 0.51, 0.62, and 0.18, respectively).ConclusionThere has been a significant increase in hemithyroidectomy utilization for pediatric differentiated thyroid cancer.
Outcomes of carotid sparing intensity‐modulated radiotherapy for early stage glottic cancer in 201 patients: Multicenter study of Turkish Radiation Oncology Society/TROD‐01‐007
Authors: Bicakci Beyhan Ceylaner , Mustafayev Teuta Zoto , Cetinayak Oguz , Igdem Sefik , Birgi Sumerya Duru , Meydan Deniz , Demircioglu Fatih , Atalar Banu , Ozyar Enis , Akman Fadime 
Published: May 2022

AbstractBackgroundTo assess and report clinical outcomes after carotid sparing intensity‐modulated radiotherapy for early stage laryngeal cancer.MethodsWe retrospectively analyzed 201 patients with early stage glottic laryngeal cancer treated with carotid sparing intensity‐modulated radiotherapy (IMRT)/volumetric modulated arc therapy (VMAT) techniques in six TROD centers.ResultsAfter a median follow‐up of 31 months the actuarial 1‐ and 3‐year local and locoregional control rates were 99.4% and 94.7%, 98.4% and 93%, respectively. T classification, anterior commissure involvement, IMRT technique, and type of fractionation were not found to be prognostic for local control. Overall, eight patients had lost their organ function due to recurrence or toxicity. Grade 3 and 4 acute laryngeal edema was seen in eight (4%) and one (0.5%) of patients, respectively. Grade 3 and 4 late laryngeal edema developed in two (1%) and one patient (0.5%), respectively.ConclusionOncologic outcomes of patients treated with carotid sparing IMRT were excellent; comparable with historical series, with acceptable side effects. Longer follow‐up is needed to estimate long term effect on stroke.