Dominant Component Research Articles

Controlling response order without relying on stimulus order – evidence for flexible representations of task order

In dual-task situations, both component tasks are typically not executed simultaneously but rather one after another. Task order is usually determined based on bottom-up information provided by stimulus presentation order, but also affected by top-down factors such as instructions and/or differentially dominant component tasks (e.g., oculomotor task prioritization). Recent research demonstrated that in the context of a randomly switching stimulus order, task order representations can be integrated with specific component task information rather than being coded in a purely abstract fashion (i.e., by containing only generic order information). This conclusion was derived from observing consistently smaller task-order switch costs for a preferred (e.g., oculomotor-manual) versus a non-preferred (e.g., manual-oculomotor) task order (i.e., order-switch cost asymmetries). Since such a representational format might have been especially promoted by the sequential stimulus presentation employed, we investigated task-order representations in situations without any bottom-up influence of stimulus order. To this end, we presented task stimuli simultaneously and cued the required task-order in advance. Experiment 1 employed abstract order transition cues that only indicated a task-order repetition (vs. switch) relative to the previous trial, while Experiment 2 used explicit cues that unambiguously indicated the task-order. Experiment 1 revealed significant task-order switch costs only for the second task (of either task order) and no order-switch cost asymmetries, indicating a rather generic representation of task order. Experiment 2 revealed task-order switch costs in both component tasks with a trend toward order-switch cost asymmetries, indicating an integration of task order representations with component task information. These findings highlight an astonishing flexibility of mental task-order representations during task-order control.

Effects of magnetic helicity on 3D equilibria and self-organized states in KTX reversed field pinch

The reversed field pinch (RFP) is a toroidal magnetic configuration in which plasmas can spontaneously transform into different self-organized states. Among various states, the ‘quasi-single-helical’ (QSH) state has a dominant component for the magnetic field and significantly improves confinement. Many theoretical and experimental efforts have investigated the transitions among different states. This paper employs the multi-region relaxed magnetohydrodynamic model to study the properties of QSH and other states. The stepped-pressure equilibrium code (SPEC) is used to compute MHD equilibria for the Keda Torus eXperiment (KTX). The toroidal volume of KTX is partitioned into two subvolumes by an internal transport barrier. The geometry of this barrier is adjusted to achieve force balance across the interface, ensuring that the plasma in each subvolume is force-free and that magnetic helicity is conserved. By varying the parameters, we generate distinct self-organized states in KTX. Our findings highlight the crucial role of magnetic helicity in shaping these states. In states with low magnetic helicity in both subvolumes, the plasma exhibits axisymmetric behavior. With increasing core helicity, the plasma gradually transforms from an axisymmetric state to a double-axis helical state and finally to a single-helical-axis state. Elevated core magnetic helicity leads to a more pronounced dominant mode of the boundary magnetic field and a reduced core magnetic shear. This is consistent with previous experimental and numerical results in other RFP devices. We find a linear relationship between the plasma current and helicity in different self-organized states. Our findings suggest that KTX may enter the QSH state when the toroidal current reaches 0.72 MA. This study demonstrates that the stellarator equilibrium code SPEC unveils crucial RFP equilibrium properties, rendering it applicable to a broad range of RFP devices and other toroidal configurations.

Amplitude analysis of the decays and * *Supported in part by the National Key R&D Program of China (2020YFA0406300, 2020YFA0406400); the National Natural Science Foundation of China (NSFC) (11625523, 11635010, 11735014, 11835012, 11935015, 11935016, 11935018, 11961141012, 12025502, 12035009, 12035013, 12061131003, 12105276, 12122509, 12192260, 12192261, 12192262, 12192263, 12192264, 12192265, 12221005, 12225509, 12235017); the Chinese Academy of Sciences (CAS) Large-Scale Scientific Facility

Using annihilation data corresponding to an integrated luminosity of 2.93 taken at the center-of-mass energy GeV with the BESIII detector, a joint amplitude analysis is performed on the decays and (non-η). The fit fractions of individual components are obtained, and large interferences among the dominant components of the decays , , , and are observed in both channels. With the obtained amplitude model, the -even fractions of and (non-η) are determined to be % and %, respectively. The branching fractions of and (non-η) are measured to be % and %, respectively. The amplitude analysis provides an important model for the binning strategy in measuring the strong phase parameters of when used to determine the CKM angle via the decay.

Influence of stratification and wind forcing on the dynamics of Lagrangian residual velocity in a periodically stratified estuary

Abstract. Wind and stratification play pivotal roles in shaping the structure of the Lagrangian residual velocity (LRV). However, the intricate dynamics by which wind and stratification modify the LRV remain poorly studied. This study derives numerical solutions of LRV components and eddy viscosity subcomponents to elucidate the dynamics within the periodically stratified Pearl River estuary. The vertical shear cross-estuary LRV (uL) is principally governed by the interplay among the eddy viscosity component (uLtu), the barotropic component (uLba), and the baroclinic component (uLgr) under stratified conditions. During neap tides, southwesterly winds notably impact uL by escalating uLtu by an order of magnitude within the upper layer. This transforms the eastward flow dominated by uLtu under wind influence into a westward flow dominated by uLba in upper shoal regions without wind forcing. The along-estuary LRV exhibits a gravitational circulation characterized by upper-layer outflow engendered by a barotropic component (vLba) and lower-layer inflow predominantly driven by a baroclinic component (vLgr). The presence of southwesterly winds suppresses along-estuary gravitational circulation by diminishing the magnitude of vLba and vLgr. The contributions of vLba and vLgr are approximately equal, while the ratio between uLba and uLgr (uLtu) fluctuates within the range of 1 to 2 in stratified waters. Under unstratified conditions, LRV exhibits a lateral shear structure due to differing dominant components compared to stratified conditions. In stratified scenarios, the eddy viscosity component of LRV is predominantly governed by the turbulent mean component, while it succumbs to the influence of the tidal straining component in unstratified waters.

Cinnamon Bark Oil as an Effective Fungicide in Protecting the Surface of Wood-Based Softboards against the Development of Mold Fungi

Porous wood-based boards, like any lignocellulosic material, are susceptible to biocorrosion caused by mold fungi. Their durability can be extended by using biocides. Due to the fact that porous boards are considered an ecological material, it would be beneficial to also use natural agents to protect them. For this purpose, the surface of softboards was protected with a 30% solution of cinnamon bark oil in ethanol. Three application levels were used: 75 g/m2, 120 g/m2, and 200 g/m2 of solution. It has been shown that the cinnamon bark oil solution used at an application rate of 200 g/m2 is an effective fungicide, protecting softboards (SBs) against the development of mold fungi: T. viride and C. globosum. The dominant volatile component of cinnamon oil identified in the boards turned out to be cinnamaldehyde. Three months after treatment, this substance constituted 74% of the volatile components. The proposed treatment method allows for short-term preventive protection of boards against mold fungi.

Detection of myocardial infarction using Shannon energy envelope, FA-MVEMD and deterministic learning

Myocardial infarction (MI) poses a significant clinical challenge, necessitating expeditious and precise detection to mitigate potentially fatal outcomes. Current MI diagnosis predominantly relies on electrocardiography (ECG); however, it is fraught with limitations, including inter-observer variability and a reliance on expert interpretation. This study introduces an automated MI detection framework that capitalizes on hybrid signal processing methodologies and deterministic learning theory. The initial step involves the extraction of the Shannon energy envelope (SEE) and its derivative from a single-lead ECG. Integration of the SEE into the ECG’s phase portrait provides a means to capture the underlying nonlinear system dynamics. Subsequently, the application of fast and adaptive multivariate empirical mode decomposition (FA-MVEMD) yields discriminative features originating from the most energetically dominant intrinsic mode components (IMFs) within the SEE. Profound dissimilarities are discernible between ECG signals recorded from healthy subjects and those afflicted with MI. In the subsequent phase, deterministic learning theory, implemented through neural networks, is employed to facilitate the classification of ECG signals into two distinct groups. The method’s efficacy is meticulously evaluated using the PTB diagnostic ECG database, resulting in a noteworthy average classification accuracy of 99.21%\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\%$$\\end{document} within a tenfold cross-validation framework. In summation, the findings affirm that the proposed features not only complement conventional ECG attributes but also align closely with the underlying dynamics of the ECG system, ultimately fortifying the automatic detection of MI. The imperative requirement for early and accurate MI diagnosis is addressed through our approach, offering a robust and dependable means to fulfill this pivotal clinical need.

THE STRUCTURE OF IDENTITY OF STUDENT YOUTH IN RUSSIA AND TAJIKISTAN

Identification preferences of young people determine the trends of further development of society. In this regard, an important research task is to identify the identification preferences of young people. Identity has various forms, which together form a hierarchical structure, the governing parameters of which are national identity. National identity is a component of constructivism, the formation of which is the focus of youth policy in Russia and Tajikistan. The effectiveness of youth policy largely depends on the extent to which it reflects the hopes and opportunities of the young generation, its growth potential. The article presents models of the identity structure of student youth in Russia and Tajikistan based on the results of empirical research and monitoring of the dynamics of identification preferences. The study of the structure of youth identity and the dynamics of its changes is based on an open associative experiment and sociological surveys among students of the Russian-Tajik (Slavic) University (Dushanbe) and the Ural Federal University named after the first President of Russia B.N. Yeltsin (Yekaterinburg). The conducted research allowed the authors to determine the dominant components in the structure of youth identity and substantiate the significance of the formation of national identity, active civic position among young people as a direction of youth policy.

Water flow in shallow aquifers without the Dupuit hypothesis

In this paper, we present a new model as an alternative to the classical 3D Richards model for the description of water flow in shallow aquifers. The new model is designed to achieve three goals. First, it provides a good approximation to the Richards model over a wide range of time scales. More specifically we show that both models characterize a flow with the same dominant components when the ratio of the horizontal length to the depth of the aquifer is small. Second, the new model accurately describes the velocity field. In particular, it is not based on the Dupuit hypothesis, which is often used in the context of shallow aquifers. This allows the new model to be well accurate even in the presence of wells and in aquifers with variable bedrock. Third, the new model can be viewed as a coupling of numerous 1D vertical Richards problems with a 2D elliptic one. In practice, this coupling is treated numerically using a Picard fixed point scheme, avoiding the need to solve any three-dimensional problem. This results in a significant reduction in computational cost compared to solving the 3D Richards problem directly.

New material of the zosterophyllopsid Gosslingia from the Lower Devonian of Guizhou, southwestern China

Abstract The zosterophyllopsids had a widespread distribution and constituted a dominant component in many plant assemblages during the Early Devonian. Although a large number of zosterophyllopsids have been documented, knowledge about the paleogeographic distribution of different genera/species remains to be expanded by further fossil evidence. In this article, new material assigned to the genus Gosslingia Heard, 1927 and designated as Gosslingia cf. G. breconensis Heard, 1927 is described from a new locality of the Lower Devonian of Guizhou Province, China. The Guizhou material shows main axes that are pseudomonopodially branched, pseudomonopodial lateral branching systems, subaxillary tubercle branches, circinate apices, elliptical xylem strand, exarch maturation of xylem, and G-type tracheids, and exhibits considerable similarities with the type and only species of Gosslingia, Gosslingia breconensis. Our finding represents the first report of Gosslingia in the South China Block and the most convincing occurrence of this genus outside of Wales, UK. Gosslingia adds to the diversity of genera shared among the Early Devonian floras of South China, western Europe, and North America, along with Distichophytum Mägdefrau, Estinnophyton Fairon-Demaret, Zosterophyllum Penhallow, and others, and indicates that the dispersal of early vascular plants among different paleocontinents was more common than previously appreciated.

Emission factors and source profiles of volatile organic compounds from the automobile manufacturing industry

Controlling volatile organic compounds (VOCs) emitted from the automobile manufacturing industry requires establishing VOCs emission factors (EFs) and source profiles refinedly. In this study, 41 samples involved 32 VOCs discharge links were collected from three factories. The EFs and VOCs source profiles were estimated by the material balance method and weighted average method, respectively. The ozone formation potential (OFP) of the 110 VOCs species were calculated by the maximum incremental reactivity (MIR). According to estimations, the ranges of EFs were 0.23–1.66 kg VOCs/SUV car and 2.14–14.86 g VOCs/m2 painted area. EFs of six materials were firstly estimated, which are electrophoretic primer (152.31 ± 97.39 g VOCs/SUV car, 0.97 ± 0.38 g VOCs/m2 painted area), sealant (48.39 ± 26.20 g VOCs/SUV car, 0.46 ± 0.25 g VOCs/m2 painted area), floating coat (87.40 ± 75.63 g VOCs/SUV car, 0.86 ± 0.74 g VOCs/m2 painted area), colored paint (127.24 ± 168.24 g VOCs/SUV car, 1.25 ± 1.66 g VOCs/m2 painted area), varnish (205.46 ± 218.14 g VOCs/SUV car, 2.01 ± 2.15 g VOCs/m2 painted area), and cleaning solvent (328.54 ± 404.94 g VOCs/SUV car, 3.23 ± 3.98 g VOCs/m2 painted area). OVOCs (37.40–51.60 %) and aromatics (36.40–37.00 %) were the dominant components. n-Butyl acetate, 1,2,4-trimethylbenzene, undecane, n-hexanal, acetone, 1,2,3-trimethylbenzene, 1,3,5 -trimethylbenzene, m/p/o-xylene, 3-ethylbenzene, and 4-ethylbenzene were the major VOCs species, accounting for 68 % of total VOCs in the automobile manufacturing industry. Considering the OFP values of species, 1,2,4-trimethylbenzene, 1,3,5-trimethylbenzene, 1,2,3-trimethylbenzene, m/p-xylene, acetaldehyde, methyl ethyl ketone are the key active species that should be prioritized for control.

The first degree-scale starlight-polarization-based tomography map of the magnetized interstellar medium

We present the first degree-scale tomography map of the dusty magnetized interstellar medium (ISM) from stellar polarimetry and distance measurements. We used the RoboPol polarimeter at Skinakas Observatory to conduct a survey of the polarization of starlight in a region of the sky of about four square degrees. We propose a Bayesian method to decompose the stellar-polarization source field along the distance to invert the three-dimensional (3D) volume occupied by the observed stars. We used this method to obtain the first 3D map of the dusty magnetized ISM. Specifically, we produced a tomography map of the orientation of the plane-of-sky component of the magnetic field threading the diffuse, dusty regions responsible for the stellar polarization. For the targeted region centered on Galactic coordinates (l, b) ≈ (103.3°, 22.3°), we identified several ISM clouds. Most of the lines of sight intersect more than one cloud. A very nearby component was detected in the foreground of a dominant component from which most of the polarization signal comes and which we identified as being an intersection of the wall of the Local Bubble and the Cepheus Flare. Farther clouds, with a distance of up to 2 kpc, were similarly detected. Some of them likely correspond to intermediate-velocity clouds seen in H I spectra in this region of the sky. We found that the orientation of the plane-of-sky component of the magnetic field changes along distance for most of the lines of sight. Our study demonstrates that starlight polarization data coupled to distance measures have the power to reveal the great complexity of the dusty magnetized ISM in 3D and, in particular, to provide local measurements of the plane-of-sky component of the magnetic field in dusty regions. This demonstrates that the inversion of large data volumes, as expected from the PASIPHAE survey, will provide the necessary means to move forward in the modeling of the Galactic magnetic field and of the dusty magnetized ISM as a contaminant in observations of the cosmic microwave background polarization.

Tree abundance, species richness, or species mix? Exploring the relationship between features of urban street trees and pedestrian volume in Jinan, China

Accumulating evidence has confirmed that urban greenery, especially street trees, is beneficial to walking behaviors. Existing street greenery exposure-walking behavior studies have focused on the quantity of greenery, which is often measured by normalized difference vegetation index (NDVI) or green view index (GVI). However, some important qualities of street trees, the dominant component of urban greenery, were often overlooked, due to the labor-intensive and expensive nature of on-site surveys. To address this issue, we proposed a cutting-edge deep learning technique to identify street tree species at the individual tree level. We established a citywide dataset of all street trees with species information via 185,831 Baidu Street View images (BSV) in Jinan, China. Population-level walking intensity, measured by pedestrian volume, was retrieved from BSV images using Baidu AI. We further adopted spatial regression models to investigate the association between pedestrian volume and street tree characteristics, including street tree abundance (number of street trees), species richness (number of unique tree species) and species mix (the degree of diversity of tree species). The built environment and urban greenery covariates were adjusted in the models. The results indicate that the street tree abundance and species mix are positively associated with pedestrian volume. Species richness is not associated with it. Besides, spatial mismatch is identified between abundance and species mix of street trees in the study area. Hence, to facilitate walking behavior and deliver related health benefits, it is necessary to develop fine-grained measures of street greenery features.

Distribution Characteristics and Pollution Sources Analysis of Polycyclic Aromatic Hydrocarbons and Phthalate Esters in the Seawater of Land-Based Outlets around Zhanjiang Bay in Spring

This study analyzed the distribution characteristics and sources of pollutants in the coastal estuaries of Zhanjiang Bay (ZJB) to provide theoretical and data support for the scientific prevention and control of bay pollution. Monitoring data from eight rivers and flood drains flowing into ZJB in March 2021 were used to analyze the composition and spatial distribution characteristics of polycyclic aromatic hydrocarbons (PAHs) and phthalate esters (PAEs) in the water bodies of the bay. The dominant components in the eight rivers and flood drains were 3–4-ring PAHs, with Bis (2-ethylhexyl) phthalate (DEHP), Diisobutyl phthalate (DIBP), and Dibutyl-O-phthalate (DBP) being the main PAE compounds. Higher pollutant levels were observed in residential areas, aquaculture zones, and industrial areas. Eigen-ratio analysis and principal component analysis were used to identify pollution sources, including atmospheric inputs (coal, petroleum products, biomass combustion products), offshore petroleum pollution, and plastic pollution sources. The assessment showed that atmospheric inputs contributed to 89.75% of the total PAHs in the bay, with coal and biomass combustion accounting for 62.12% and petroleum fuel combustion accounting for 27.63%. The content of ΣPAEs ranged from 588.43 to 1427.26 ng·L−1, with a mean value of 906.59 ng·L−1, which is at a low to medium level compared to other regions of China and abroad, indicating a medium-low level of pollution risk. The results of this study have important implications for guiding urban development, adjusting energy consumption structures, and planning pollution prevention and control measures in ZJB.

Assessment of energy consumption and environmental safety measures in a plasma pyrolysis plant for eco-friendly waste treatment

A plasma pyrolysis plant with a 50 kg/h installed capacity is investigated for its performance in terms of energy consumption, carbon emission, and environmental safety. Municipal Solid Waste (MSW), precisely the combustible fraction, is processed at approximately 1000 °C. A temperature shoot study is conducted to reduce the energy required for waste processing, revealing a total energy consumption of 0.586 kWh per kg of waste, leading to a reduction of ∼15%. A mass and energy balance has been done to get a clear understanding of different products, by-product generation, and heat losses during waste treatment. The gas analysis identified CO and H2 as dominant components, comprising around 30% of the produced gases, with a lower heating value (LHV) of 4.7 MJ/Nm3. The cold gas efficiency ranges from 44 to 53%. The Energy Dispersive X-ray (EDX) and Inductively Coupled Plasma Mass Spectrometer (ICP-MS) techniques characterize the ash generated during the process and are found carbonless and non-toxic in nature. The wastewater produced during gas cleaning exhibited a neutral acidic nature, with total dissolved solids (TDS) ranging from 1200 to 1500 mg/l. These findings contribute to the plant's promising role in sustainable waste management practices, highlighting its potential as an environmentally sound solution for processing waste.

Health behavior of young people: formation of typological attributes using the sentence completion method

The article actualizes the problems of typological analysis of young people according to character of health behavior, among them the issues of the formation of typological attributes are particularly highlighted. These are the theoretical constructs; characteristics on the basis of which the respondent is assigned to one or another typological group – the carrier of a certain social type. Various indicators of health behavior claim to be typological attributes. Their choice depends on many factors: on the specifics of the population being studied, on the basis of the typology, on the purpose for which the typological analysis is carried out, on the accumulated experience of research practices in using indicators, etc. The article presents the results of an exploratory research devoted to the study of young people’s representations about health behavior. The initial methodological premise was that the heuristic potential of indicators of health behavior as typological attributes in different groups of young people is different. The plausibility of this premise was confirmed in the process of analyzing text data obtained by the sentence completion method. Based on the construction of pyramids of generalizations (according to a survey of three age groups of young people), the structural elements of the image of “health behavior” (elementary justifications, elements, components) were identified, and the dominant elements and components were identified. As a result, assumptions have been made about the adequacy of certain methodical solutions in the formation of typological attributes.

Determination of volatile components of citrus flowers and leaves growing in Hatay, Türkiye

Species belonging to the genus Citrus are produced and traded in large amounts around the world. In addition to the consumption of citrus fruits as food due to their high vitamin C content, their use in many areas has become widespread with the development of the plant-based products industry. In this study, the amount and structure of volatile components of leaves and flowers of 5 different citrus species (Citrus aurantium, Citrus limon, Citrus paradisi, Citrus reticulata, and Citrus sinensis) were determined using the solid phase micro extraction. Monoterpene hydrocarbons and their oxygenated derivatives were identified as the most abundant chemical component groups. Limonene was the dominant compound in Citrus limon flowers (36.5%), leaves (22.5%) and Citrus paradisi flowers (22.4%). Linalool, and sabinene were the other major components. Linalool was determined at 50.5% in flowers and 73.3% in leaves of Citrus aurantium. Moreover, sabinene had a high amount in Citrus sinensis flowers (19.7%), leaves (24.7%), and in Citrus paradisi (27.4%) leaves. Apart from these dominant components, γ-terpinene (13.9%) and p-cymene (25.4%) were detected in Citrus reticulata flowers and leaves in an important amount. It was seen that the leaves and flowers of Citrus species gathered from Hatay province were an important source of limonene and linalool compounds.

Dynamics of starch formation and gene expression during grain filling and its possible influence on grain quality

In rice, grain filling is a crucial stage where asynchronous filling of the pollinated spikelet’s of the panicle occurs. It can influence both grain quality and yield. In rice grain, starch is the dominant component and contains amylose and amylopectin. Amylose content is the chief cooking quality parameter, however, rice varieties having similar amylose content varied in other parameters. Hence, in this study, a set of varieties varying in yield (04) and another set (12) of varieties that are similar in amylose content with variation in gel consistency and alkali spreading value were used. Panicles were collected at various intervals and analysed for individual grain weight and quantities of amylose and amylopectin. Gas exchange parameters were measured in varieties varying in yield. Upper branches of the panicles were collected from rice varieties having similar amylose content and were subjected to gene expression analysis with fourteen gene specific primers of starch synthesis. Results indicate that grain filling was initiated simultaneously in multiple branches. Amylose and amylopectin quantities increased with the increase in individual grain weight. However, the pattern of regression lines of amylose and amylopectin percentages with increase in individual grain weight varied among the varieties. Gas exchange parameters like photosynthetic rate, stomatal conductance, intercellular CO2 and transpiration rate decreased with the increase in grain filling period in both good and poor yielding varieties. However, they decreased more in poor yielders. Expression of fourteen genes varied among the varieties and absence of SBE2b can be responsible for medium or soft gel consistency.

Anisotropy of elastocaloric cooling effect in equal atomic ratio NiTi alloy with crystallographic texture

The influence of anisotropy induced by the crystallographic texture on the elastocaloric cooling effect of rolled NiTi alloy was investigated. Cyclic tensile tests were conducted along various directions angles (θ) between the rolling direction (RD) and the transverse direction (TD). The results demonstrated that the dominant texture component of the material were {110}<110> and {001}<110>. With the presence of texture component {110}<110> and {001}<110>, the elastocaloric cooling effect of rolled NiTi alloy presented unusual anisotropy. The adiabatic temperature change ΔTadi is maximum in the θ = 0° direction (//RD) and minimum in the θ = 90° (//TD)direction. The material coefficient of performance COPmat and Carnot COP were also analyzed and evaluated. The maximum COPmat and Carnot COP obtained were 26.5 and 67%, respectively, indicating a remarkable balance between cooling capacity and efficiency. The present research shed light on optimizing the elastocaloric cooling effect by introducing crystallographic texture characteristic in rolled NiTi alloy.

Reconciling Modeled and Observed Δ17O(NO3−) in Beijing Winter Haze With Heterogeneous Chlorine Chemistry

AbstractThe fine particulate matter (PM2.5) in Chinese megacities has declined significantly after the implementation of strict mitigation strategies since 2013. However, the concentration of wintertime nitrate in PM2.5 (p‐NO3‐) has only changed slightly and became the dominant inorganic component despite considerable precursor emission reductions. Discerning chemical mechanisms leading to nitrate growth during haze events is critical to implementing effective pollution mitigation policies. The oxygen isotope anomaly of nitrate (Δ17O(NO3−)) is a powerful means to distinguish nitrate formation mechanisms. Nevertheless, the observed high Δ17O(NO3−) values were significantly underestimated by chemical transport models during extreme haze events (PM2.5 &gt; 225 μg m−3) in Beijing, indicating an incomplete understanding of nitrate chemistry. To reconcile this model‐observation discrepancy, we compiled reported Δ17O(NO3−) data in Beijing haze along with relevant observational parameters (e.g., hydroxyl (OH) reactivity, peroxyl radical concentrations), then tested assumptions on Δ17O of key precursors (e.g., OH and nitrogen dioxide (NO2)), recalculated Δ17O(NO3−) and compared them with observations. Our results indicate that considering heterogeneous dinitrogen pentoxide reactions on chlorine‐containing aerosols (N2O5 + Cl− chemistry) with a nitryl chloride (ClNO2) yield of ∼0.75 can explain the observed high Δ17O(NO3−) during extreme haze events. According to the Δ17O(NO3−) data, on average this heterogeneous N2O5 + Cl− chemistry can explain ∼60% of nighttime nitrate production and make daytime and nocturnal pathways equally important in winter Beijing haze (PM2.5 &gt; 75 μg m−3). Our results highlight the critical role of reactive chlorine chemistry in air pollution/chemistry in inland cities.

Neodymium isotope composition and rare earth element distribution of East Antarctic continental shelf and deep waters

Circumpolar Deep Water (CDW) and Antarctic Bottom Water (AABW) play key roles in the Earth's climate system. Both water masses form critical components of the Antarctic Circumpolar Current and Meridional Overturning Circulation and therefore directly influence the large-scale redistribution of heat, nutrients and carbon. Reconstruction of past CDW transport and AABW production and export has been a key target in palaeoceanography. One promising proxy to achieve this has been the neodymium (Nd) isotope composition of seawater. The biogeochemical processes controlling Nd in the ocean, however, remain underconstrained, and modern observations of Nd isotopes in the Southern Ocean are still geographically limited.To overcome this limitation, 61 seawater samples were collected for Nd isotope and rare earth element (REE) analysis at nine stations along the Wilkes Land continental margin and in the Australian-Antarctic Basin (65°S 125°E) near East Antarctica. The results show that the different water masses have the following Nd isotope characteristics: Antarctic Surface Water (AASW), εNd = −9.0 ± 1.0 (2SD; n = 22); Modified CDW (MCDW), εNd = −8.8 ± 0.8 (2SD; n = 22); AABW, εNd = −8.3 ± 0.5 (2SD; n = 17).There is no evidence of continental REE inputs to surface waters on the Wilkes Land margin. Observed zonal variability of Nd isotope composition in AASW can be attributed to seasonal competition between the poleward flow of warm AASW from the AAG and the westward export of cold surface shelf waters by the Antarctic Slope Current.In terms of deep and bottom waters, mixing of upwelled CDW with AASW and AABW exclusively controls the Nd isotope composition of MCDW, with no indication of boundary processes modifying the Nd isotope composition of MCDW as it encroaches the shelf or slope. The regional Nd isotope signature for AABW is intermediate between published data for the Atlantic sector AABW (εNd = −9.1 ± 0.7) and Pacific sector AABW (εNd = −7.4 ± 0.9). In the absence of active convection, this Nd isotope signature can be explained by a mixture of advected AABW from the Adélie Land coast with a more dominant component of local MCDW and CDW.The data presented in this study constitute the first Nd isotope data set in this part of the Southern Ocean and suggest conservative behaviour of Nd in proximity to the old East Antarctic continent.