bluuebunny/crossref_metadata_2025_split huggingface dataset:
The context of earnings management and its ability to predict future stock returns
Authors: Nguyen Nguyet T. M. , Iqbal Abdullah , Shiwakoti Radha K. 
Published: March 2022

AbstractThis paper constructs a signal-based composite index, namely ESCORE, which captures the context of earnings management. Specifically, ESCORE aggregates 15 individual signals related to both accrual and real earnings management based on prior relevant literature. After establishing that ESCORE is capable of capturing the context in which earnings management is more likely to occur, the study finds that low ESCORE firms outperform those with high ESCORE by an average of 1.37% per month after controlling for risk loadings on the market, size, book-to-market and momentum factors up to one year after portfolio formation in the UK. This finding implies that investors tend to ignore the observable context of earnings management. In addition, with ESCORE model, investors do not need to estimate the magnitude of earnings management, rather it is sufficient to look at the surrounding context to differentiate between low and high earnings management firms. Finally, when tested using the US data, most of the main results of the study appear to hold.
Displacement-Invariant Cost Computation for Stereo Matching
Authors: Zhong Yiran , Loop Charles , Byeon Wonmin , Birchfield Stan , Dai Yuchao , Zhang Kaihao , Kamenev Alexey , Breuel Thomas , Li Hongdong , Kautz Jan 
Published: March 2022

AbstractAlthough deep learning-based methods have dominated stereo matching leaderboards by yielding unprecedented disparity accuracy, their inference time is typically slow, i.e., less than 4 FPS for a pair of 540p images. The main reason is that the leading methods employ time-consuming 3D convolutions applied to a 4D feature volume. A common way to speed up the computation is to downsample the feature volume, but this loses high-frequency details. To overcome these challenges, we propose a displacement-invariant cost computation module to compute the matching costs without needing a 4D feature volume. Rather, costs are computed by applying the same 2D convolution network on each disparity-shifted feature map pair independently. Unlike previous 2D convolution-based methods that simply perform context mapping between inputs and disparity maps, our proposed approach learns to match features between the two images. We also propose an entropy-based refinement strategy to refine the computed disparity map, which further improves the speed by avoiding the need to compute a second disparity map on the right image. Extensive experiments on standard datasets (SceneFlow, KITTI, ETH3D, and Middlebury) demonstrate that our method achieves competitive accuracy with much less inference time. On typical image sizes (e.g., $$540\times 960$$

540
×
960

), our method processes over 100 FPS on a desktop GPU, making our method suitable for time-critical applications such as autonomous driving. We also show that our approach generalizes well to unseen datasets, outperforming 4D-volumetric methods. We will release the source code to ensure the reproducibility.
Motives of Peer Support Volunteers with Experiences of Mental and Addictive Disorders: An Innovative Approach in the Context of Employment Promotion in Germany
Authors: Lammers Klara , Dobslaw Gudrun , Stricker Michael , Wegner Johannes 
Published: March 2022

AbstractPeer support approaches are gaining increasing importance within the mental health sector as an effective way to assist people with mental and addictive disorders. This article explores peer support volunteers’ motives for voluntary engagement in a model project in Germany. It aims to gain a deeper understanding of peer support approaches and their underlying motivations in an innovative context. Twenty-three qualitative interviews with peer support volunteers were analyzed according to Mayring’s qualitative content analysis. Results showed that voluntary engagement fulfills a heterogeneous range of functions for peer support volunteers. Alongside “typical” volunteers’ motives, there were peer-specific functions such as motivation due to own personal experiences and the objective of changing societal attitudes toward mental health. Furthermore, the context of employment promotion played a motivational role: Many interview partners aimed to transform counseling structures within the institutions they had experienced as clients themselves.
Image-matching digital macro-slide—a novel pathological examination method for microvascular invasion detection in hepatocellular carcinoma
Authors: Yu Hong-Ming , Wang Kang , Feng Jin-Kai , Lu Lei , Qin Yu-Chen , Cheng Yu-Qiang , Guo Wei-Xing , Shi Jie , Cong Wen-Ming , Lau Wan Yee , Dong Hui , Cheng Shu-Qun 
Published: March 2022

Abstract
Background
Microvascular invasion (MVI) is a prominent risk factor of postoperative recurrence for hepatocellular carcinoma (HCC). The MVI detection rate of conventional pathological examination approaches is relatively low and unsatisfactory.

Methods
By integrating pathological macro-slide with whole-mount slide imaging, we first created a novel pathological examination method called image-matching digital macro-slide (IDS). Surgical samples from eligible patients were collected to make IDS. The MVI detection rates, tumor recurrence rates and recurrence-free survival were compared among conventional 3-Point and 7-Point baseline sampling protocols and IDS. Additionally, biomarkers to recognize MVI false negative patients were probed via combining conventional pathological sampling protocols and IDS. Receiver operating characteristic curve (ROC) analysis was used to obtain the optimal cutoff of biomarkers to distinguish MVI false negative patients.

Results
The MVI detection rates were 21.98%, 32.97% and 63.74%, respectively, in 3-Point, 7-Point baseline sampling protocols and IDS (p < 0.001). Tumor recurrence rate of patients with MVI negative status in IDS (6.06%) was relatively lower than that of patients with MVI negative status in 3-Point (16.90%) and 7-Point (16.39%) sampling protocols. Alpha-fetoprotein (AFP) and protein induced by vitamin K absence or antagonist-II (PIVKA-II) were selected as potential biomarkers to distinguish MVI false negative patients.

Conclusions
Our study demonstrated that IDS can help enhance the detection rate of MVI in HCC and refine the prediction of HCC prognosis. Alpha-fetoprotein is identified as a suitable and robust biomarker to recognize MVI false-negative patients in conventional pathological protocols.
Nachhaltigkeitsrisiken in Versicherungsunternehmen. Regulatorische Entwicklungen, Szenarioanalysen und Stress-Tests
Authors: Kraft Mirko 
Published: March 2022

ZusammenfassungIn diesem Beitrag werden regulatorische Entwicklungen zu Nachhaltigkeitsrisiken in Versicherungsunternehmen betrachtet. Nachhaltigkeitsrisiken werden anhand der ESG-Kriterien differenziert (environmental, social, governance). Als weitere Differenzierung wird die in physische und transitorische Risiken gewählt. Nachgezeichnet werden die regulatorischen Entwicklungen auf globaler, europäischer und nationaler Ebene. Schwerpunkt liegt auf den Arbeiten zu EU-Vorgaben durch die Europäische Kommission und die EU-Versicherungsaufsichtsbehörde EIOPA, insbesondere zum EU-Aufsichtssystem Solvency II und zu Versicherungs-Stress-Tests. Der Fokus richtet sich auf die Entwicklung von Szenarioanalysen und Stress-Tests zu Nachhaltigkeitsrisiken. Letztere sind für mikro- und makroprudenzieller Zwecke möglich. Ihre Ausgestaltung wird u. a. hinsichtlich Szenarien, Zeithorizonten und Granularität diskutiert. Der Beitrag gibt somit einen Überblick und Ausblick auf die regulatorische Behandlung von Nachhaltigkeitsrisiken im Versicherungssektor, wobei die EU-Vorgaben Leitbild für internationale Fortschritte in diesem Feld sein könnten.
Targeted genome-wide SNP genotyping in feral horses using non-invasive fecal swabs
Authors: Gavriliuc Stefan , Reza Salman , Jeong Chanwoori , Getachew Fitsum , McLoughlin Philip D. , Poissant Jocelyn 
Published: March 2022

AbstractThe development of high-throughput sequencing has prompted a transition in wildlife genetics from using microsatellites toward sets of single nucleotide polymorphisms (SNPs). However, genotyping large numbers of targeted SNPs using non-invasive samples remains challenging due to relatively large DNA input requirements. Recently, target enrichment has emerged as a promising approach requiring little template DNA. We assessed the efficacy of Tecan Genomics’ Allegro Targeted Genotyping (ATG) for generating genome-wide SNP data in feral horses using DNA isolated from fecal swabs. Total and host-specific DNA were quantified for 989 samples collected as part of a long-term individual-based study of feral horses on Sable Island, Nova Scotia, Canada, using dsDNA fluorescence and a host-specific qPCR assay, respectively. Forty-eight samples representing 44 individuals containing at least 10 ng of host DNA (ATG’s recommended minimum input) were genotyped using a custom multiplex panel targeting 279 SNPs. Genotyping accuracy and consistency were assessed by contrasting ATG genotypes with those obtained from the same individuals with SNP microarrays, and from multiple samples from the same horse, respectively. 62% of swabs yielded the minimum recommended amount of host DNA for ATG. Ignoring samples that failed to amplify, ATG recovered an average of 88.8% targeted sites per sample, while genotype concordance between ATG and SNP microarrays was 98.5%. The repeatability of genotypes from the same individual approached unity with an average of 99.9%. This study demonstrates the suitability of ATG for genome-wide, non-invasive targeted SNP genotyping, and will facilitate further ecological and conservation genetics research in equids and related species.
Trade Specialisation and Changing Patterns of Comparative Advantages in Manufactured Goods
Authors: Algieri Bernardina , Aquino Antonio , Succurro Marianna 
Published: March 2022

AbstractStarting from the late 1950s, mainly as a reaction to Leontief’s paradoxical results, a large amount of research has underlined the great importance of technology and human capital in explaining international trade in manufactures. This study examines the patterns of comparative advantages for 42 countries and 91 manufactured classes of final and intermediate products and their changes between 2001 and 2019. The dynamics and the effects of the international fragmentation of production processes are also considered. Comparative advantages in each class of products are related to three different measures of a country’s human capital or technology endowment: the cost of labour, the level of formal education and the number of patents per capita. An indicator of home market size enters the model as a control variable. The econometric analysis reveals that in 2019, human capital or technology endowments explain comparative advantages in 70 out of 91 products. In particular, 31 products are positively and significantly associated with at least 1 of the 3 human capital or technology indicators, 34 products are negatively and significantly linked to at least 1 indicator, 5 products show contrasting results, 21 products are not related to any human capital or technology indicator. Between 2001 and 2019, comparative advantages for 15 classes of products shifted towards lower-technology countries and for 18 productions towards higher-technology countries. There were no shifts for 51 products. From a policy perspective, the distinction between high and low-technology productions could have some interesting implications. Since high-technology productions are characterised by a higher learning-by-doing rate, governments should foster domestic firms to upgrade the human capital or technology intensity of their productions.
Evaluation of Conservation Tillage Methods for Soil Moisture Conservation and Maize Grain Yield in Low Moisture Areas of SNNPR, Ethiopia
Authors: Bekele Bagegnehu , Habtemariam Temesgen , Gemi Yenealem 
Published: March 2022

Abstract
Conservation tillage is a promising tillage practice for enhancing soil moisture conservation. The objective of the study is to evaluate conservation tillage methods on soil moisture and maize grain yield in Silte and Gurage zone of Ethiopia. No tillage, one-time tillage, two times tillage, and conventional tillage methods were evaluated. The treatments were laid out in randomized complete block design with three replications for three consecutive years (2018–2020). Besides soil moisture data, selected physical and chemical soil properties were collected. Economic analysis was also computed for each tillage method to select cost effective conservation tillage methods. The result reveals, conservation tillage methods had better soil infiltration and soil moisture content relative to conventional tillage. There was no significant difference between treatments in soil organic carbon, total nitrogen, and phosphorus in the top 10 cm in the Mareko site. However, except for phosphorus, significant differences (p < 0.05) between treatments in soil organic carbon and nitrogen were detected in the 10–20 cm depth. The maize yield and yield components are significantly affected by treatments at the Mareko site and not significant at Mito. The results support that conservation tillage tested in this study could contribute to the improvement of soil properties and maize yield in study sites.
Anxiety-Related Coping Styles and Individual Differences in Primary Emotional Systems Against the Background of Affective Neuroscience Theory: a Study Using Samples from Germany and China
Authors: Jung Sonja , Sindermann Cornelia , Yang Haibo , Elhai Jon D. , Montag Christian 
Published: March 2022

AbstractScientific literature suggests that Neuroticism is an important predictor in understanding individual differences in anxiety-related coping styles such as vigilance (positive association) and cognitive avoidance (negative association). Considering Pankseppian Affective Neuroscience (AN) theory could contribute to understand these relationships more in-depth, because the evolutionary old subcortical brain systems of FEAR, SADNESS, and ANGER might represent brain-anatomical bottom-up drivers of Neuroticism. N = 594 German participants (n = 170 males; mostly student background) and N = 332 Chinese participants (n = 72 males; mostly student background) completed the Affective Neuroscience Personality Scales (ANPS) and the Mainz Coping Inventory (Angstbewältigungsinventar; ABI) to assess individual differences in primary emotional traits and anxiety-related coping styles, respectively. As hypothesized, associations between the three emotional systems and the two coping styles cognitive avoidance and vigilance were observed. There were some differences in correlations between the Chinese and German samples, mainly regarding associations between ANGER and cognitive avoidance. Moreover, linear regression analyses revealed FEAR as a main predictor of vigilance (positive) and cognitive avoidance (negative) in the German sample. In the Chinese sample, FEAR was the main predictor of cognitive avoidance (negative), only; for vigilance SADNESS (positive) was the main predictor. Theoretical assumptions behind primary emotional traits indicate that the brain systems underlying FEAR and SADNESS indeed influence anxiety-related coping styles in a bottom-up fashion.
Predictor corrector algorithms considering multiple constraints for entry vehicles
Authors: Zhang W. J. , Wang B. M. 
Published: March 2022

AbstractThis paper proposes an online entry trajectory planning based on predictor corrector algorithm that satisfies terminal constraints, path constraints and geographic constraints for lifting-body entry vehicles. The vehicle is considered as a 3DOF point mass. A piecewise linear bank profile in the altitude-versus-velocity (H-V) plane is used to project the longitudinal trajectory and a heading angle corridor-based bank angle reversal logic is designed to satisfy the geographic constraints simultaneously. The algorithm in longitudinal plane solves the problem of the mismatch between terminal range and height and the algorithm in lateral plane satisfies the no-fly zone constraint. Simulation results with the CAV-H model show that the proposed algorithm can generate entry trajectories satisfying multiple constraints and has certain robustness.
Climate change and productivity of northeastern dairy farms
Authors: Lopez Rigoberto A. , Laughton Christopher , Kim Donghoon , Suh Hyun Soo 
Published: March 2022

AbstractThis article examines the impact of extreme weather on dairy farm productivity in the northeastern U.S., accounting for the effects of extreme temperatures on dairy cow productivity and on feed production—the predominant feeding system in the region. Using a stochastic frontier production model and 2010–20 dairy farm-level data, we find that although heat stress impacts cow productivity negatively, it increases feed production. No discernable impacts of extreme cold temperatures were found. Additional results indicate the presence of significant labor-augmenting productivity and that larger farms experience larger productivity growth thanks to increasing returns to scale and allocative efficiency.
Population density, cosmopolitanism, and undocumented immigrants in the United States
Authors: Adut Ari , Hyun-Soo Kim Harris 
Published: March 2022

AbstractMost research on attitudes towards immigrants and immigration problematically conflates the documented and the undocumented. Previous studies also largely ignore the autonomous role of population density. Based on data drawn from two nationally representative surveys, this paper focuses on contemporary American attitudes towards undocumented immigration and immigrants. Contra the dominant view, we find that education and income have no effect. More important, population density, measured at the county level, significantly predicts favorable attitudes, controlling for factors often erroneously conflated with density: race, income, education, political affiliation, age, gender, and interaction with immigrants. In fact, interaction tends to decrease favorable attitudes. We explain these findings by proposing a novel account of cosmopolitanism, using favorable attitudes towards undocumented immigrants and immigration as an empirical indicator. Those who live in places with higher density are more used to see and be seen in everyday life by countless people with whom they share the same spaces without necessarily interacting with them. As a result, they are more likely to consider all them, including undocumented immigrants, in a superficial yet egalitarian way as generalized others to be ignored. It is this tolerance based on general indifference that is the basis of cosmopolitanism.
Risk factors and predictors of mortality in acute invasive fungal sinusitis – a single-institution experience
Authors: Varghese L , Malleshappa V , Yadav B K , Kurien R , Rupa V 
Published: March 2022

AbstractObjectiveTo determine risk factors affecting mortality in acute invasive fungal sinusitis.MethodThis observational cohort study was conducted over a five-year period.ResultsOf 109 recruited patients, 90 (82.6 per cent) had diabetes mellitus. Predominant fungi were zygomycetes (72.6 per cent) with Rhizopus arrhizus being most common. Of the patients, 12.8 per cent showed a positive biopsy report from radiologically normal sinuses. Factors affecting mortality on multivariate analysis were: female sex (p = 0.022), less than two weeks between symptoms and first intervention (p = 0.01), and intracranial involvement (p = 0.034). Other factors significant on univariate analysis were: peri-orbital swelling (p = 0.016), restricted ocular movements (p = 0.053), intracranial symptoms (p = 0.008), posterior disease (p = 0.058), imaging showing ocular involvement (p = 0.041), fungus being zygomycetes (p = 0.050) and post-operative cavity infection (p = 0.032). Bilateral, palatal and retromaxillary involvement were not associated with poor prognosis.ConclusionDiagnosis of acute invasive fungal sinusitis requires a high index of clinical suspicion. Recognition of factors associated with poor prognosis can help when counselling patients, and can help initiate urgent intervention by debridement and antifungal therapy. Post-operative nasal and sinus cavity care is important to reduce mortality.
Two decades of automatic amortized resource analysis
Authors: Hoffmann Jan , Jost Steffen 
Published: March 2022

AbstractThis article gives an overview of automatic amortized resource analysis (AARA), a technique for inferring symbolic resource bounds for programs at compile time. AARA has been introduced by Hofmann and Jost in 2003 as a type system for deriving linear worst-case bounds on the heap-space consumption of first-order functional programs with eager evaluation strategy. Since then AARA has been the subject of dozens of research articles, which extended the analysis to different resource metrics, other evaluation strategies, non-linear bounds, and additional language features. All these works preserved the defining characteristics of the original paper: local inference rules, which reduce bound inference to numeric (usually linear) optimization; a soundness proof with respect to an operational cost semantics; and the support of amortized analysis with the potential method.
Impact of obesity on medically assisted reproductive treatments
Authors: Sciorio Romualdo , Bellaminutti Serena , Tramontano Luca , Esteves Sandro C. 
Published: March 2022

SummaryIncreasing evidence has demonstrated that obesity impairs female fertility and negatively affects human reproductive outcome following medically assisted reproduction (MAR) treatment. In the United States, 36.5% of women of reproductive age are obese. Obesity results not only in metabolic disorders including type II diabetes and cardiovascular disease, but might also be responsible for chronic inflammation and oxidative stress. Several studies have demonstrated that inflammation and reactive oxygen species (ROS) in the ovary modify steroidogenesis and might induce anovulation, as well as affecting oocyte meiotic maturation, leading to impaired oocyte quality and embryo developmental competence. Although the adverse effect of female obesity on human reproduction has been an object of debate in the past, there is growing evidence showing a link between female obesity and increased risk of infertility. However, further studies need to clarify some gaps in knowledge. We reviewed the recent evidence on the association between female obesity and infertility. In particular, we highlight the association between fat distribution and reproductive outcome, and how the inflammation and oxidative stress mechanisms might reduce ovarian function and oocyte quality. Finally, we evaluate the connection between female obesity and endometrial receptivity.
Leslie Uggams, Sing Along with Mitch (1961–64), and the Reverberations of Minstrelsy
Authors: Morgan-Ellis Esther M. 
Published: March 2022

AbstractIn his television program Sing Along with Mitch (1961–1964), Mitch Miller employed the talents of African American singer Leslie Uggams in ways that explicitly countered the legacy of minstrelsy. Although the program can be criticized as reactionary on other grounds, the fact that Sing Along with Mitch presented older, white viewers with a nostalgic vision of American identity realized through collective song amplified the impact of Uggams's performances. The program was well-received by Black viewers, and suited the dominant integrationist philosophy of the early 1960s. However, surviving correspondence indicates that some viewers persisted in perceiving Uggams through a lens clouded by minstrel stereotypes. This article documents and analyzes the ways in which these viewers continued to see and hear Uggams as a minstrel performer despite her presentation as a consummate professional and fully integrated member of the Sing Along “family.”