bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improving a neural network model by explanation-guided training for glioma classification based on MRI data
Authors: Šefčík František , Benesova Wanda 
Published: May 2023

AbstractIn recent years, artificial intelligence systems have come to the forefront. These systems, mostly based on deep learning, achieve excellent results in areas such as image processing, natural language processing and speech recognition. Despite the statistically high accuracy of deep learning models, their output is often based on ”black box” decisions. Thus, interpretability methods (Reyes et al. in Radiol Artif Intell 2(3):e190043, 2020) have become a popular way to gain insight into the decision-making process of deep learning models (Miller in Artif Intell 267:1–38, 2019). Explanation of deep learning models is desirable in the medical domain since experts have to justify their judgments to the patients. In this work, we proposed a method for explanation-guided training that uses a layer-wise relevance propagation technique to force the model to focus only on the relevant part of the image. We experimentally verified our method on a convolutional neural network model for low-grade and high-grade glioma classification problems. Our experiments produced promising results in the way where we use interpretation techniques in the training process.
Expansion and adaptive evolution of the WRKY transcription factor family in Avicennia mangrove trees
Authors: Feng Xiao , Li Guohong , Wu Weihong , Lyu Haomin , Wang Jiexin , Liu Cong , Zhong Cairong , Shi Suhua , He Ziwen 
Published: May 2023

AbstractMangroves are adapted to intertidal zones, which present extreme environmental conditions. WRKYs are among the most prominent transcription factors (TFs) in higher plants and act through various interconnected networks to regulate responses to multiple abiotic stressors. Here, based on omic data, we investigated the landscape and evolutionary patterns of WRKYs in the main mangrove genus Avicennia. We found that both the number and the proportion of TFs and WRKYs in Avicennia species exceeded their inland relatives, indicating a significant expansion of WRKYs in Avicennia. We identified 109 WRKY genes in the representative species Avicennia marina. Comparative genomic analysis showed that two recent whole-genome duplication (WGD) events played a critical role in the expansion of WRKYs, and 88% of Avicennia marina WRKYs (AmWRKYs) have been retained following these WGDs. Applying comparative transcriptomics on roots under experimental salt gradients, we inferred that there is high divergence in the expression of WGD-retained AmWRKYs. Moreover, we found that the expression of 16 AmWRKYs was stable between freshwater and moderately saline water but increased when the trees were exposed to high salinity. In particular, 14 duplicates were retained following the two recent WGD events, indicating potential neo- and sub-functionalization. We also found that WRKYs could interact with other upregulated genes involved in signalling pathways and natural antioxidant biosynthesis to enhance salt tolerance, contributing to the adaptation to intertidal zones. Our omic data of the WRKY family in A. marina broadens the understanding of how a TF family relates to the adaptive evolution of mangroves.
On the Geometric Sensitivity of the MEG Inversion Algorithm
Authors: Pasiou Niovi-Paraskevi , Dassios George 
Published: May 2023

AbstractMagnetoencephalography (MEG) is a non-invasive technique that measures the magnetic fields produced by brain's electrical currents. The basic inverse problem of magnetoencephalography (MEG) consists in estimating the neuronal current in the brain from the measurement of the magnetic field outside the head. The relative inversion algorithms, existing in medical devices, for the identification of excitation sources inside the brain using MEG data, are based on the assumption that the geometry of the brain-head system is spherical. Here, we present the error of identification of the dipole$${({\varvec{r}}}_{0}, {\varvec{Q}})$$(r0,Q)using the inversion algorithm of spherical geometry. In particular, taking magnetoencephalographic measurements from realistic ellipsoidal model and using these data in a spherical model lead to a structural error. For the purpose of this paper, we make numerical investigation for different positions of the source, especially, locating sources at different depths and see how the error depends on depth. These results may have useful implications for the interpretation of the reconstructions obtained via the existing approaches.
Establishment and application of ecological health evaluation system for urban and rural rivers in Yangtze Estuary
Authors: Peng Biaobiao , Shi Benwei , Wang Ya Ping , Li Jingjing , Zhang Xinmiao , Liu Xiaoyu , Mo Lei , Shen Anglu , Ding Yifan 
Published: May 2023

AbstractThe assessment of river ecosystem health is crucial for improving river resilience, achieving ecological protection and rational utilization in the Yangtze Estuary region where there is high utilization of rivers and a high demand for quality rivers by Shanghai, the world's largest modern city. To assess the ecological health status of Yangtze Estuary rivers, this study established a river health assessment model consisting of five dimensions: water quality, river landscape, aquatic organisms, river hydrology, and human interference, and a total of ten indicators based on the ecological survey results in the summer and autumn of six river channels in Chongming Island in the Yangtze Estuary. The evaluation results reveal that the health status of rural rivers in the northwest and east of Chongming Island (S2, S3) is the best, reaching an excellent level, while the small river in the central part of Chongming Island (S6) is the worst, reaching a somewhat inferior level. Compared with rural rivers, the comprehensive evaluation results of urban rivers are good or ordinary level. The high proportion of building area on both sides of the river and the low vegetation cover are the main factors that restrict their scoring results. In contrast, rural rivers need to focus on the area of buffer zones such as forests and vegetation on both sides of the river, river connectivity, appropriate widening of narrow rivers, regular cleaning and dredging of rivers, as well as reducing human interference with the rivers. Regarding seasonal changes, the health assessment results of Chongming Island rivers in summer are better than those in autumn, and the differences between sites in summer are slightly greater than those in autumn. The seasonal differences between sites are mainly due to changes in indicators of the diversity of zooplankton, phytoplankton, and macrobenthos. To further improve the ecological health of rivers, measures of ecological restoration could be adjusted based on regular health assessment and health weakness analysis.
The financial implications of specialization, diversification, or alternative enterprises on small farms: Evidence from Tennessee
Authors: Khanal Aditya R. , Ojha Renu 
Published: May 2023

AbstractIn response to survival challenges, small farms in the United States undertake decisions to minimize downside risk or maximize gross revenue. Using primary survey data of small farms in Tennessee, we examined farmers’ strategic decisions on specialization or other forms of diversification and estimated the impacts of these decisions on farm financial performance. We found that farmer’s age, farmland holdings, use of a smartphone in farm-related activities, and off-farm work significantly influenced these strategic decisions. Our multinomial endogenous switching regression estimates suggested that small farms could attain significantly higher performance, around 45% higher gross farm income and a 30% higher return on assets, by adding alternative on-farm enterprises.
The Challenge of Mass Casualty Incident Response Simulation Exercise Design and Creation: A Modified Delphi Study
Authors: Weinstein Eric S , Bortolin Michelangelo , Lamine Hamdi , Herbert Teri Lynn , Hubloue Ives , Pauwels Sofie , Burke Rita V , Cicero Mark X , Dugas Phoebe O Toups , Oduwole Elizabeth O , Ragazzoni Luca , Della Corte Francesco 
Published: May 2023

AbstractBackground:A Mass Casualty Incident response (MCI) full scale exercise (FSEx) assures MCI first responder (FR) competencies. Simulation and serious gaming platforms (Simulation) have been considered to achieve and maintain FR competencies. The translational science (TS) T0 question was asked: how can FRs achieve similar MCI competencies as a FSEx through the use of MCI simulation exercises?Methods:T1 stage (Scoping Review): PRISMA-ScR was conducted to develop statements for the T2 stage modified Delphi (mD) study. 1320 reference titles and abstracts were reviewed with 215 full articles progressing for full review leading to 97 undergoing data extraction.T2 stage (mD study): Selected experts were presented with 27 statements derived from T1 data with instruction to rank each statement on a 7-point linear numeric scale, where 1 = disagree and 7 = agree. Consensus amongst experts was defined as a standard deviation ≤ 1.0.Results:After 3 mD rounds, 19 statements attained consensus and 8 did not attain consensus.Conclusions:MCI simulation exercises can be developed to achieve similar competencies as FSEx by incorporating the 19 statements that attained consensus through the TS stages of a scoping review (T1) and mD study (T2), and continuing to T3 implementation, and then T4 evaluation stages.
Steady and unsteady coupling in twin weakly underexpanded round jets
Authors: Wong Tsz Y.M. , Stavropoulos Michael N. , Beekman Jayson R. , Towne Aaron , Nogueira Petrônio A.S. , Weightman Joel , Edgington-Mitchell Daniel 
Published: May 2023

We investigate the intermittency of the coupling behaviour in screeching twin round supersonic jets at low Mach numbers across a range of nozzle spacings. Application of proper orthogonal decomposition combined with time-frequency wavelet analysis and spectral proper orthogonal decomposition shows that intermittency can manifest in twin jets as either a competition between the two symmetries, or the jets uncoupling and recoupling. The time scales on which symmetry switching occurs can vary strongly, ranging from

$O(10^2)$

to

$O(10^3)$

screech cycles. A transition from one symmetry to another is accompanied by a slight change in the screech frequency ranging from 0.30 % to 0.63 %. It was observed that complete uncoupling occurred only at the largest nozzle spacing of

$s/D=6$

and at Mach numbers close to modal staging. When the jets are uncoupled they screech at slightly different frequencies, with a disparity of approximately 0.6 %. The coupling is particularly intermittent in the transition from the A1 to A2 branch, where the A2 mode is first observed, and tends toward steady coupling with increasing Mach number.
RADIOCARBON AND TRITIUM MEASUREMENTS AT THE GXNU-AMS FACILITY
Authors: Shen Hongtao , Chen Dingxiong , Tang Junsen , Zhang Guofeng , Wang Li , Qi Linjie , Wu Kaiyong , Han Xinyi , Ouyang He , Wang Ning , Sun Xiaojun , He Ming , Sasa Kimikazu , Jiang Shan 
Published: May 2023

ABSTRACTA single-stage accelerator mass spectrometer (GXNU-AMS) developed for radiocarbon and tritium measurements was installed and commissioned at Guangxi Normal University in 2017. After several years of operational and methodological upgrades, its performance has been continuously improved and applied in multidisciplinary fields. Currently, the measurement sensitivity for radiocarbon and tritium is 14C/12C ∼ (3.14 ± 0.05) ×10–15 and 3H/1H ∼ (1.23 ± 0.17)×10–16, respectively, and the measurement accuracy is ∼0.6%, which can meet the measurement requirements in the nuclear, earth, environmental and life science fields. This study presents the performance characteristics of GXNU-AMS and several interesting application studies.
The Gender Politics of Physical Beauty and Racial Integration: Comments on D. C. Matthew's “Racial Integration and the Problem of Relational Devaluation”
Authors: Basevich Elvira 
Published: May 2023

AbstractIn response to D. C. Matthew's article “Racial Integration and the Problem of Relational Devaluation,” I assess the politics of physical beauty in the intersection between the categories of race and gender. I scrutinize Matthew's contention that being perceived to be physically attractive reliably results in either good treatment or high self-esteem. I argue that, on the contrary, gender can function as a means of social control, in which the appraisal of women's bodies yields neither good treatment nor improves their self-esteem. This problem can persist among self-segregated intra-group racial communities.
Racial Integration and Devaluation: Reply to Stanley, Valls, Basevich, Merry, and Sundstrom
Authors: Matthew D. C. 
Published: May 2023

AbstractIn “Racial Integration and the Problem of Relational Devaluation,” I argue that blacks should reject racial integration on self-protective and solidarity grounds. Integration will intensify the self-worth harms of stigmatization and phenotypic devaluation by leading blacks to more fully internalize their devaluation, and while the integrating process itself might reduce the former, it may well leave in place the latter. In this paper, I reply to the challenges to these arguments presented by Sharon Stanley, Andrew Valls, Elvira Basevich, Michael Merry, and Ronald Sundstrom.
Plot extraction and the visualization of narrative flow
Authors: DeBuse Michael A. , Warnick Sean 
Published: May 2023

AbstractThis article discusses the development of an automated plot extraction system for narrative texts. Acknowledging the distinction between plot, as an object of study with its own rich history and literature, and features of a text that may be automatically extractable, we begin by characterizing a text’s scatter plot of entities. This visualization of a text reveals entity density patterns characterizing the particular telling of the story under investigation and leads to effective scene partitioning. We then introduce the concept of narrative flow, a graph representation of the narrative ordering of scenes (the syuzhet) that includes how entities move through scenes from the text, and investigate the degree to which narrative flow can be automatically extracted given a glossary of plot-important objects, actors, and locations. Our subsequent analysis then explores the correlation between subjective notions of plot and the information extracted through these visualizations. In particular, we discuss narrative structures commonly found within the graphs and make comparisons with ground truth narrative flow graphs, showing mixed results highlighting the difficulty of plot extraction. However, the visual artifacts and common structural relationships seen in the graphs provide insight into narrative and its underlying plot.
Hostile Sexism and Abortion Attitudes in Contemporary American Public Opinion
Authors: Cizmar Anne , Kalkan Kerem Ozan 
Published: May 2023

AbstractAbortion is a divisive issue in American politics. Studies analyzing attitudes toward abortion have found that abortion attitudes are relatively stable over time compared with attitudes on other issues and that religiosity and partisanship are key factors influencing abortion attitudes. Recent research has also found a role for benevolent sexism in abortion attitudes. This article expands on the literature and examines the role of hostile sexism—dislike toward women who are seen as usurping men’s authority—in attitudes about abortion in the United States. Using data from the 2012, 2016, and 2020 American National Election Studies, we find that hostile sexism is significantly related to abortion attitudes, even after controlling for theoretically relevant covariates such as partisanship, ideology, religiosity, and sociodemographic variables. As hostile sexism increases, people are more likely to express pro-life attitudes rather than pro-choice attitudes.
Consistency of the Structural Properties of the BFI-10 Across 16 Samples From Eight Large-Scale Surveys in Germany
Authors: Rammstedt Beatrice , Roemer Lena , Lechner Clemens M. 
Published: May 2023

Abstract: The assessment of the Big Five personality domains is standard practice in most large-scale social surveys nowadays. The instrument most widely used for this purpose is the BFI-10, an ultra-short measure assessing each Big Five domain with two items. Recent studies have identified issues with the structural properties of the BFI-10, especially its factorial validity. To investigate whether these issues arise from the instrument itself or biases due to translation or sampling, we examined the extent to which the structural properties of the BFI-10 in terms of descriptive statistics, intercorrelations, reliability, and factorial validity vary when keeping the target population and language constant. Results revealed that, across 16 independent samples (total N ~ 60,000) from eight large-scale surveys representative of the adult population in Germany, the structural properties of the BFI-10 were (a) largely consistent and (b) mostly adequate. Most importantly, in nearly all samples, patterns of loading were congruent with an idealized Big Five structure, thereby supporting factorial validity. These results demonstrate that the structural properties of the BFI-10 are highly stable and replicable in large-scale samples. Especially given its brevity, the BFI-10 can thus be regarded as adequate for use in large-scale survey settings.
Characteristics of the Oceanic Ambient Seismic Noise Around Tristan da Cunha in the South Atlantic From OBS Data
Authors: Zhang Hao , Schmidt‐Aursch Mechita C. , Geissler Wolfram H. , Xing Junhui 
Published: May 2023

AbstractIt has long been recognized that specific ambient seismic noise is generated within the ocean. Therefore, ocean bottom seismometers have advantages to reveal the noise characteristics directly in the deep sea. We use the seismic recordings around Tristan da Cunha collected by 20 OBSs and two island stations to investigate the ambient noise sources in the middle of the South Atlantic. We analyzed the power spectral density, ambient noise cross‐correlations, and correlations with wave heights model. While primary microseisms (∼10–20 s) in this region are deficient, the secondary microseisms are strong and dominate the ambient noise at periods of ∼1–10 s, with the peak broadening to shorter periods (1–3 s). The secondary microseisms are strongly correlated with the local wave heights, especially at shorter periods (∼1–3 s), suggesting that the microseisms are affected mostly by local wave interactions. We observed clear Empirical Green's functions at periods of ∼3–10 s, indicating the existence of distant sources of secondary microseisms. Results of asymmetry analysis of cross‐correlations suggest the prominent direction of the distant source should be located to the Southwest and show barely seasonal variations. The correlations with wave heights indicate a possible source region in the southeast Pacific Ocean. Therefore, besides the dominating local wave‐wave interactions, the secondary microseisms around Tristan region are affected simultaneously by persistent distant sources from the deep basin in the Southeast Pacific Ocean, which might be related to the intense wave‐wave interactions caused by the blocking effect of the Drake Passage on ocean currents and waves.
Potential Impact of Battery Electric Vehicle Penetration and Changes in Upstream Process Emissions Assuming Night‐Charging on Summer O3 Concentrations in Japan
Authors: Kayaba Satoko , Kajino Mizuo 
Published: May 2023

AbstractA regional meteorology–chemistry model was used to evaluate the impact of battery electric vehicles (BEV) penetration on summer O3 concentrations in Kanto (Japan's most populous region). When all passenger cars shifted to BEVs, daytime ozone (O3) concentrations decreased over a wide area. The reduction of vehicle exhaust reduced O3 in inland suburban areas (NOx‐limited) and the reduction of gasoline fuel evaporation from vehicles and gas stations reduced O3 in urban areas (volatile organic compound (VOC)‐limited). The maximum location of maximum daily 8‐hr average O3 (MDA8hO3) sensitivity (−5%; −5 ppb) was at midway between urban and suburban areas, to which the reduction of exhaust and fuel evaporation contributed equally, respectively. The additional emissions from thermal power plants due to BEV's night‐charging could cause up to ±5% sensitivity to next‐day surface O3 concentrations topically. Depending on the O3 sensitivity regime (NOx‐ or VOC‐limited), additional NOx‐rich plumes from rural (urban) power plants tended to increase (decrease) the next day's O3. However, the spatial distribution of the regime varies temporally depending on such as NOx/VOC emission ratios and meteorological conditions. This study indicated that the distribution of negative (positive) O3 sensitivity by NOx‐rich plume is consistent with that of small (large) H2O2/HNO3 concentration ratios, indicating that H2O2/HNO3 works well as an indicator to discriminate O3 sensitivity regimes. Utilization of the H2O2/HNO3 indicator would enable regime distribution predictions without sensitivity simulations with varying NOx and VOC emissions, which would contribute to reducing computational costs.
The Potential Use of Global Evapotranspiration Products and Models to Estimate Lake Residence Time at Large Scale
Authors: Ding Kan , Deng Jianming , Qin Boqiang 
Published: May 2023

AbstractWater residence time (WRT) is an important lake attribute that influences almost all in‐lake nutrient processes. However, information on WRT is often missing or outdated, especially in regions lacking lake inflow or outflow observations. Recent advances in global precipitation and evapotranspiration (ET) products and calibration‐free ET models provide the possibility of estimating lake WRT at large scales using estimated runoff from the water balance over the lake catchment. Here, we tested four global ET products and two calibration‐free ET models for estimating the mean annual lake outflow and WRT of 67 globally distributed lakes using precipitation inputs from four global precipitation products. The results show that the WRT estimated using the water balance method and global ET estimates generally correlates well with reference WRT (R = 0.90 ∼ 0.99) when using reliable precipitation inputs and is slightly more accurate than the estimates from the existing global WRT dataset and methods (R = 0.79 ∼ 0.94). Despite the large relative error (RE) in the estimates of the WRT, the RE of the phosphorus retention derived from the estimated WRT is acceptable (RE < ±30%). The simplicity and versatility of this approach underline its potential applications to large‐scale studies that require a fair estimation of WRT.