bluuebunny/crossref_metadata_2025_split huggingface dataset:
Old Southern Codes in New Legal Bottles? Sexual Harassment, Race, and Masculinity
Authors: Butler John Sibley , Schmidtke James M. , Brown Letisha Engracia Cardoso , Stephens Bryan 
Published: March 2022

AbstractHistorically, old southern codes were used to regulate the interactions between black males and white females. We draw parallels between these codes and current sexual harassment laws to examine the perceptions of sexual behavior that crosses racial lines. Specifically, we examine how white and black female targets perceived and reacted to the behavior of males of the same and different race than their own. Our results indicate that white women perceive the behavior committed by a man of another race as more sexually harassing than when a white male commits the behavior. Conversely, black women perceive the behavior committed by black men as more sexually harassing than when a man of a different race engages in the same behavior. Further, a similar pattern emerges for reporting sexual harassment. Implications for research and the management of sexual harassment are discussed.
Coalition Formation Under Dominance Invariance
Authors: Kimya Mert 
Published: March 2022

AbstractAn abstract game satisfies Dominance Invariance if the indirect and the direct dominance relations, or myopic and farsighted dominance, are equivalent. Mauleon et al. (Int J Game Theory 43(4):925–943, 2014) study Dominance Invariance as an attractive condition that eliminates the differences between a farsighted solution concept and its myopic counterpart. We show that Dominance Invariance can also be used to eliminate the differences between various farsighted solution concepts in any abstract game. Together with an additional condition called No Infinite Chains, Dominance Invariance implies the existence and uniqueness of the farsighted stable set, its equivalence to the largest consistent set and its equivalence to the (strong) rational expectations farsighted stable set when the latter exists. This also implies that both the farsighted stable set and the largest consistent set do not suffer from the problem of maximality under these conditions.
Zombies in the Loop? Humans Trust Untrustworthy AI-Advisors for Ethical Decisions
Authors: Krügel Sebastian , Ostermaier Andreas , Uhl Matthias 
Published: March 2022

AbstractDeparting from the claim that AI needs to be trustworthy, we find that ethical advice from an AI-powered algorithm is trusted even when its users know nothing about its training data and when they learn information about it that warrants distrust. We conducted online experiments where the subjects took the role of decision-makers who received advice from an algorithm on how to deal with an ethical dilemma. We manipulated the information about the algorithm and studied its influence. Our findings suggest that AI is overtrusted rather than distrusted. We suggest digital literacy as a potential remedy to ensure the responsible use of AI.
SARS-2 COVID-19-induced immunity response, a new prognostic marker for the pregnant population correlates inversely with neonatal Apgar score
Authors: Marwah M. , Shokr H. , Demitry A. , Wang K. , Ahmad S. , Marwah S. , Wandroo F. 
Published: March 2022

AbstractBackgroundThe COVID-19 infection has impacted pregnancy outcomes; however, few studies have assessed the association between haematological parameters and virus-related pregnancy and neonatal outcomes. We hypothesised differences in routine haematology indices in pregnant and non-pregnant COVID-19 patients as well as COVID-19-negative pregnant subjects and observed neonatal outcomes in all pregnant populations. Further, we tested if pattern identification in the COVID-19 pregnant population would facilitate prediction of neonates with a poor Apgar score.MethodsWe tested our hypothesis in 327 patients (111 COVID-19-positive pregnant females, 169 COVID-19-negative pregnant females and 47 COVID-19-positive non-pregnant females) in whom standard routine laboratory indices were collected on admission.ResultsPregnant COVID-19-positive patients exhibited higher WBC, neutrophil, monocyte counts as well as neutrophil/lymphocyte and neutrophil/eosinophil ratio compared to non-pregnant COVID-19-positive patients (p = 0.00001,p = 0.0023,p = 0.00002,p = 0.0402,p = 0.0161,p = 0.0352, respectively). Preterm delivery was more prevalent in COVID-19-positive pregnant patients accompanied with a significantly lower birth weight (2894.37 (± 67.50) g compared with 3194.16 (± 50.61) g,p = 0.02) in COVID-19-negative pregnant patients. The COVID-19-Induced Immunity Response (CIIR) was defined as (WBC × neutrophil) / eosinophil; Apgar scores were significantly and inversely correlated with the CIIR index (r =—0.162).InterpretationPregnancy appears to give rise to an increased immune response to COVID-19 which appears to protect the mother, however may give rise to complications during labour as well as neonatal concerns. CIIR is a simple metric that predicts neonatal distress to aid clinicians in determining the prognosis of COVID-19 and help provide early intensive intervention to reduce complications.
Was Alpha deadlier than wild-type COVID? Analysis in rural England
Authors: Brainard Julii , Grossi Sampedro Carlota Maria , Sweeting Anna , Fordham Ric 
Published: March 2022

Abstract
Background
It is useful to document whether each newly dominant SARS-CoV-2 variant of concern was more or less dangerous than preceding dominant variant(s). We assessed if the emergence of the Alpha (B.1.1.7) variant in autumn 2020 could be linked to higher case fatality rates, compared to original wild-type COVID-19, subgrouping by age band, sex, deprivation or month of diagnosis as potential risk factors.

Methods
Observational study and secondary analysis were conducted of SARS-CoV-2 cases diagnosed due to medical need or occupational exposure in an administrative area of Eastern England, UK (base population 1 million), who first tested positive in the period 1 March 2020 to 28 February 2021. Multivariate logistic regression was performed to examine relationships of age group, sex, deprivation group and month of diagnosis with case fatality rates within 28 days of diagnosis. Marginal probabilities for risk of dying were calculated separately for the first two main ‘wave’ periods of the English pandemic.

Results
Older age and male sex consistently raised the risk of mortality in both wave periods. Higher deprivation was linked to mortality risk in the first wave period, but not in the second wave. Mortality decreased over time during the first wave period, but slightly increased over time during the second wave. Cases were younger in the second wave, and median age of the deceased varied little between waves.

Interpretation
The Alpha variant of SARS-CoV-2 did not lead to higher mortality rates for any age, deprivation or sex group, compared to case fatality rates in the early part of the pandemic period.
Aerodynamic characteristics of a high-speed train crossing the wake of a bridge tower from moving model experiments
Authors: Wu Jinfeng , Li Xiaozhen , Cai C. S. , Liu Dejun 
Published: March 2022

AbstractIn a strong crosswind, the wake of a bridge tower will lead to an abrupt change of the aerodynamic forces acting on a vehicle passing through it, which may result in problems related to the transportation safety. This study investigates the transient aerodynamic characteristics of a high-speed train moving in a truss girder bridge and passing by a bridge tower in a wind tunnel. The scaled ratio of the train, bridge, and tower are 1:30. Effects of various parameters such as the incoming wind speed, train speed, and yaw angle on the aerodynamic performance of the train were considered. Then the sudden change mechanism of aerodynamic loads on the train when it crosses over the tower was further discussed. The results show that the bridge tower has an apparent shielding effect on the train passing through it, with the influencing width being larger than the width of the tower. The train speed is the main factor affecting the influencing width of aerodynamic coefficients, and the mutation amplitude is mainly related to the yaw angle obtained by changing the incoming wind speed or train speed. The vehicle movement introduces an asymmetry of loading on the train in the process of approaching and leaving the wake of the bridge tower, which should not be neglected.
An estimation of distribution algorithm with clustering for scenario-based robust financial optimization
Authors: Shi Wen , Hu Xiao-Min , Chen Wei-Neng 
Published: March 2022

AbstractOne important problem in financial optimization is to search for robust investment plans that can maximize return while minimizing risk. The market environment, namely the scenario of the problem in optimization, always affects the return and risk of an investment plan. Those financial optimization problems that the performance of the investment plans largely depends on the scenarios are defined as scenario-based optimization problems. This kind of uncertainty is called scenario-based uncertainty. The consideration of scenario-based uncertainty in multi-objective optimization problem is a largely under explored domain. In this paper, a nondominated sorting estimation of distribution algorithm with clustering (NSEDA-C) is proposed to deal with scenario-based robust financial problems. A robust group insurance portfolio problem is taken as an instance to study the features of scenario-based robust financial problems. A simplified simulation method is applied to measure the return while an estimation model is devised to measure the risk. Applications of the NSEDA-C on the group insurance portfolio problem for real-world insurance products have validated the effectiveness of the proposed algorithm.
Joint metric learning of local and global features for vehicle re-identification
Authors: Shen Junge , Sun Jian , Wang Xin , Mao Zhaoyong 
Published: March 2022

AbstractVehicle re-identification (ReID) means to identify the target vehicle in large-scale surveillance videos captured by multiple cameras, where robust and distinctive visual features of vehicles are critical to the performance. Recently, the researchers have approached the problem with attention based models. However, most of these models use strongly-supervised methods, which rely on expensive extra labels, e.g., keypoints(vehicle wheels , logo and lamps) and attributes(e.g., color and type). Therefore, we propose a joint metric learning approach to solve the problem. We present an end-to-end Partition and Fusion Multi-branch Network (PFMN), a novel approach to effectively learn discriminative features without any annotations or additional attributes. For hard samples, which means different vehicles with similar appearance or the same vehicle with different appearances, a novel variant of hard sampling triplet loss is proposed. Based on extensive experiments, we have proved the effectiveness of our proposed method. On the challenging public data sets VeRi-776 and VehicleID, our model outperforms most state-of-the-art algorithms on mAP and rank-1. Especially on mINP, which measures the cost of model retrieval hard samples, we can achieve a significant improvement.
Science and representation: examining the role of supplementary STEM education in elementary school student science identity
Authors: Barakat Rita 
Published: March 2022

AbstractThe last several years has seen numerous initiatives rise to increase representation of under-represented minority groups (URMs) in Science Technology Engineering and Mathematics (STEM) professions. Yet despite these efforts, disparities between students educated in the sciences and professionals in these fields persist. One significant contributor to these disparities is a lack of funding and support for science educational resources, particularly in low-income communities and school districts. The following paper evaluates the efficacy of an elementary school STEM educational program, known as the Young Scientists Program (YSP), which serves over 1400 elementary school students in seven Title I schools within the Los Angeles Unified School District (LAUSD). The specific aim of this project was to determine whether targeting a younger student population is more effective at promoting a greater sense of self-efficacy within science, ultimately encouraging students to see themselves as potential future scientists regardless of their socioeconomic status and cultural background. Students who participated in the program completed a pre- and post-program “Draw A Scientist Test” (DAST) and general Science Interest Survey. Statistical analysis of the quantitative data from these instruments showed a significant increase in the number of students who drew scientists that represented themselves and/or members of their community, and more positive attitudes toward STEM after participating in the YSP. These findings provide a model for continued program evaluation and comparison of previous years’ data for the YSP, as well as for evaluation of similar elementary school science programs.
Spin-flip luminescence
Authors: Kitzmann Winald Robert , Moll Johannes , Heinze Katja 
Published: March 2022

AbstractIn molecular photochemistry, charge-transfer emission is well understood and widely exploited. In contrast, luminescent metal-centered transitions only came into focus in recent years. This gave rise to strongly phosphorescent CrIIIcomplexes with ad3electronic configuration featuring luminescent metal-centered excited states which are characterized by the flip of a single spin. These so-called spin-flip emitters possess unique properties and require different design strategies than traditional charge-transfer phosphors. In this review, we give a brief introduction to ligand field theory as a framework to understand this phenomenon and outline prerequisites for efficient spin-flip emission including ligand field strength, symmetry, intersystem crossing and common deactivation pathways using CrIIIcomplexes as instructive examples. The recent progress and associated challenges of tuning the energies of emissive excited states and of emerging applications of the unique photophysical properties of spin-flip emitters are discussed. Finally, we summarize the current state-of-the-art and challenges of spin-flip emitters beyond CrIIIwithd2,d3,d4andd8electronic configuration, where we mainly cover pseudooctahedral molecular complexes of V, Mo, W, Mn, Re and Ni, and highlight possible future research opportunities.Graphical abstract
African and American Equatorial Ionization Anomaly (EIA) Responses to 2013 SSW Event
Authors: Idolor O. R. , Akala A. O. , Bolaji O. S. 
Published: March 2022

AbstractThis study investigates the responses of the African and American Equatorial Ionization Anomaly (EIA) regions to 2013 Sudden Stratospheric Warming (SSW) event. The Total Electron Content (TEC) data obtained from chains of Global Positioning System receivers within ±40° geomagnetic latitudes in the African and American sectors were used to construct the EIA structures for both longitudinal sectors. The responses of the EIA structures, constructed from the TEC, ΔTEC, and ionospheric irregularities data to the 2013 SSW event were investigated. During the SSW peak phase, EIA structures in both longitudinal sectors responded significantly, with the pole‐ward flow of plasma from the equator to higher crests' locations (strengthening of the EIA). Furthermore, a clear asymmetry in plasma distribution in the northern and southern crests of the EIA was observed. Generally, for the entire data span, TEC enhancements and ionospheric irregularities occurrences during SSW were more in the American sector than the African sector. The geomagnetic activity of 17 January 2013 caused negative TEC response in the African sector and positive TEC response in the American sector. Moderate storm‐induced TEC enhancements were generally lower than SSW‐induced TEC enhancements. Furthermore, solar flux‐induced TEC of 10 January 2013 was lesser than the SSW‐induced TEC of 15–16 January 2013.
Westward‐Propagating Moisture Mode Over the Tropical Western Hemisphere
Authors: Mayta Víctor C. , Adames Ángel F. , Ahmed Fiaz 
Published: March 2022

AbstractA westward‐propagating Rossby‐like wave signal is found to explain a large fraction of the intraseasonal variance in cloud brightness over the Western Hemisphere. A series of diagnostic criteria suggest that this wave is a moisture mode: its moisture anomalies dominate the distribution of moist static energy (MSE) and are in phase with the precipitation anomalies; and the thermodynamic equation obeys the weak temperature gradient approximation. The wave propagates westward due to zonal moisture advection by the mean flow and is maintained by radiative heating and meridional moisture advection. These properties compare favorably with the westward propagating Rossby mode in an equatorial beta‐plane model with prognostic moisture, mean meridional moisture gradient, and mean zonal wind. These results underscore the importance of water vapor in the dynamics of slowly evolving tropical systems, and the limitations of dry shallow water theory that rely on a “reduced equivalent depth” to represent moist dynamics.
Carbonate‐Associated Phosphate (CAP) Indicates Elevated Phosphate Availability in Neoarchean Shallow Marine Environments
Authors: Ingalls M. , Grotzinger J. P. , Present T. , Rasmussen B. , Fischer W. W. 
Published: March 2022

AbstractPhosphorus is essential for cell biology, yet scarce in modern marine environments wherein free phosphate is consumed by life or titrated by calcium to form apatite minerals. The environmental conditions under which the early biosphere emerged and phosphorus was integrated throughout biochemistry is yet unknown. We measured the phosphate concentrations of 2.8–2.5 Ga shallow marine carbonate facies across six Neoarchean shelf‐ramp environments. We found that the P/Ca ratios of Neoarchean stromatolites, micrites, and crystal fans were >4‐fold to 12‐fold more enriched in carbonate‐associated phosphate than modern marine coral skeletons and abiotic Phanerozoic carbonates. Our results support the view that Archean productivity was limited by the availability of electrons rather than phosphate or other nutrients, and help explain why phosphorus is so central to the molecules, metabolisms, and bioenergetics observed in cells.
Asymptotic stabilization for nonlinear systems with time‐varying delays
Authors: Li Wenjie , Zhang Zhengqiang 
Published: March 2022

AbstractIn this paper, asymptotic stabilization problem for a class of nonlinear systems with unknown time‐varying delays is addressed. With the introduced static gain functions and new Lyapunov–Krasovskii functionals, a novel output feedback control strategy is developed. A memoryless output feedback controller which does not need precise knowledge of time delays is designed. The asymptotic stabilization and the boundedness of the closed‐loop system are proved via Lyapunov analysis. Finally, numerical simulation validates the effectiveness of this method for the nonlinear time‐delay system.
Research on edge‐guided disambiguation module for shadow detection
Authors: Huang Ying , Yang Zhen , Liu Su , Li Hao , Zhu Hongjun 
Published: March 2022

AbstractIn shadow detection area, deep learning‐based methods have achieved outstanding performance. However, the potential ambiguity in shadow images is still the main reason for the poor performance of the algorithms. By analysing the relationships among shadow edges, shadow false‐positive information, and shadow areas, an edge‐guided disambiguation module for better shadow detection performance is proposed. The edge‐guided disambiguation module consists two parts: 1) the shadow edge feature is used to guide the comprehensive shadow area feature generation of different resolution. 2) The shadow false‐positive features is applied to reduce ambiguity in the comprehensive shadow area features. In this way, the missed detections is added in the first step and the false detections is reduced in the second step. More accurate detection results is obtained. The comprehensive experiments are proceeded on the three public shadow detection datasets: SBU, UCF, and ISTD. The experimental results demonstrated the effectiveness and robustness of the proposed method.
The EDIBLES survey
Authors: MacIsaac Heather , Cami Jan , Cox Nick L. J. , Farhang Amin , Smoker Jonathan , Elyajouri Meriem , Lallement Rosine , Sarre Peter J. , Cordiner Martin A. , Fan Haoyu , Kulik Klay , Linnartz Harold , Foing Bernard H. , van Loon Jacco Th. , Mulas Giacomo , Smith Keith T. 
Published: March 2022

Context. Several diffuse interstellar bands (DIBs) have profiles with resolved sub-peaks that resemble rotational bands of large molecules. Analysis of these profiles can constrain the sizes and geometries of the DIB carriers, especially if the profiles exhibit clear variations along lines of sight probing different physical conditions.
Aims. Using the extensive data set from the ESO Diffuse Interstellar Bands Large Exploration Survey we searched for systematic variations in the peak-to-peak separation of these sub-peaks for three well-known DIBs in lines of sight with a single dominant interstellar cloud.
Methods. We used the spectra of twelve single-cloud sight lines to examine the λλ5797, 6379, and 6614 DIB profiles. We measured the peak-to-peak separation in the band profile substructures for these DIBs. We adopted the rotational contour formalism for linear or spherical top molecules to infer the rotational constant for each DIB carrier and the rotational excitation temperature in the sight lines. We compared these to experimentally or theoretically obtained rotational constants for linear and spherical molecules to estimate the DIB carrier sizes.
Results. All three DIBs have peak separations that vary systematically between lines of sight, indicating correlated changes in the rotational excitation temperatures. The rotational constant B of the λ6614 DIB was determined independently of the rotational excitation temperature; we derived B6614 = (22.2 ± 8.9) x 10−3 cm−1, consistent with previous estimates. Assuming a similar rotational temperature for the λ6614 DIB carrier and assuming a linear carrier, we found B5797linear = (5.1 ± 2.0) × 10−3 cm−1 and B6379linear = (2.3 ± 0.9) × 10−3 cm−1. If the carriers of those DIBs are spherical species, on the other hand, their rotational constants are half that value, B5797spherical = (2.6 ± 1.0) × 10−3 cm−1 and B6379spherical = (1.1 ± 0.4) × 10−3 cm−1.
Conclusions. Systematic variations in the DIB profiles provide the means to constrain the molecular properties. We estimate molecule sizes that range from 7–9 carbon atoms (λ6614 carrier, linear) to 77–114 carbon atoms (λ6379, spherical).