bluuebunny/crossref_metadata_2025_split huggingface dataset:
Risk assessment and remediation of NAPL contaminated soil and groundwater
Authors: Leharne Stephen 
Published: December 2021

AbstractThe presence of water-immiscible organic liquids—commonly called non-aqueous phase liquids or NAPLs—in soils and groundwater, is a worldwide environmental problem. Typical examples of NAPLs include: petroleum products, organic solvents and organic liquid waste from laboratories and industry. The molecular components of NAPLs present in soils, rocks and groundwater are readily transferred to the vapour and aqueous phases. The extent to which they do this is determined by their solubility (which is quite limited) and vapour pressure (which can be quite high). These molecular components, once dispersed in the vapour phase or dissolved in the aqueous phase, can provide a long-term source of harm to biotic receptors. The object of this lecture text is to examine how we can assess the degree of harm using quantitative risk assessment and how NAPL contaminated environments can be restored through the use of chemical, biological and physical remediation technologies.
Graphical abstract
A Postdigital Perspective on Service Work: Salespeople’s Service Encounters in the Connected Store
Authors: Arkenback-Sundström Charlotte 
Published: December 2021

AbstractCovid-19 has disrupted global markets, accelerated the digital transformation of frontline service, and changed how service organisations, frontline service employees, and consumers interact. This article explores how digitalisation is changing retail service work from a postdigital perspective. The article draws on an ethnography of salespeople’s service encounters in speciality chain stores between July 2015 and August 2021. Using a practice theory framework (the theory of practice architectures), the article explores what conditions form salespeople’s service encounters in connected stores and how retail organisations’ digitalisation of frontline service changes salespeople’s practice of service encounters. The contributions of this article to the ongoing debate over the digitalisation of service work are twofold. On the theoretical plane, the article provides an alternative framework to labour process theory for exploring and describing service work organised around digital technologies. Secondly, it uncovers the conditions that are changing salespeople’s practice of service encounters, along with attributes associated with service work and emotional labour skills. The research shows that the connected service encounter is characterised by postdigital dialogue that involves new roles and skills in frontline service work. Overall, the findings contribute to a better understanding of how digitalisation changes action and interaction in service encounters from an employee perspective.
A simple tool for linking photo-identification with multimedia data to track mammal behaviour
Authors: Machado Alexandre M. S. , Cantor Mauricio 
Published: December 2021

AbstractIdentifying individual animals is critical to describe demographic and behavioural patterns, and to investigate the ecological and evolutionary underpinnings of these patterns. The traditional non-invasive method of individual identification in mammals—comparison of photographed natural marks—has been improved by coupling other sampling methods, such as recording overhead video, audio and other multimedia data. However, aligning, linking and syncing these multimedia data streams are persistent challenges. Here, we provide computational tools to streamline the integration of multiple techniques to identify individual free-ranging mammals when tracking their behaviour in the wild. We developed an open-source R package for organizing multimedia data and for simplifying their processing a posteriori—“MAMMals: Managing Animal MultiMedia: Align, Link, Sync”. The package contains functions to (i) align and link the individual data from photographs to videos, audio recordings and other text data sources (e.g. GPS locations) from which metadata can be accessed; and (ii) synchronize and extract the useful multimedia (e.g. videos with audios) containing photo-identified individuals. To illustrate how these tools can facilitate linking photo-identification and video behavioural sampling in situ, we simultaneously collected photos and videos of bottlenose dolphins using off-the-shelf cameras and drones, then merged these data to track the foraging behaviour of individuals and groups. We hope our simple tools encourage future work that extend and generalize the links between multiple sampling platforms of free-ranging mammals, thereby improving the raw material needed for generating new insights in mammalian population and behavioural ecology.
Beyond Mendelian Inheritance: Genetic Buffering and Phenotype Variability
Authors: Rossi Andrea , Kontarakis Zacharias 
Published: December 2021

AbstractUnderstanding the way genes work amongst individuals and across generations to shape form and function is a common theme for many genetic studies. The recent advances in genetics, genome engineering and DNA sequencing reinforced the notion that genes are not the only players that determine a phenotype. Due to physiological or pathological fluctuations in gene expression, even genetically identical cells can behave and manifest different phenotypes under the same conditions. Here, we discuss mechanisms that can influence or even disrupt the axis between genotype and phenotype; the role of modifier genes, the general concept of genetic redundancy, genetic compensation, the recently described transcriptional adaptation, environmental stressors, and phenotypic plasticity. We furthermore highlight the usage of induced pluripotent stem cells (iPSCs), the generation of isogenic lines through genome engineering, and sequencing technologies can help extract new genetic and epigenetic mechanisms from what is hitherto considered ‘noise’.
GSDMD-mediated pyroptosis: a critical mechanism of diabetic nephropathy
Authors: Zuo Yi , Chen Li , Gu Huiping , He Xiaoyun , Ye Zhen , Wang Zhao , Shao Qixiang , Xue Caiping 
Published: December 2021

AbstractPyroptosis is a recently identified mechanism of programmed cell death related to Caspase-1 that triggers a series of inflammatory reactions by releasing several proinflammatory factors such as IL-1β and IL-18. The process is characterised by the rupture of cell membranes and the release of cell contents through the mediation of gasdermin (GSDM) proteins. GSDMD is an important member of the GSDM family and plays a critical role in the two pathways of pyroptosis. Diabetic nephropathy (DN) is a microvascular complication of diabetes and a major cause of end-stage renal disease. Recently, it was revealed that GSDMD-mediated pyroptosis plays an important role in the occurrence and development of DN. In this review, we focus on two types of kidney cells, tubular epithelial cells and renal podocytes, to illustrate the mechanism of pyroptosis in DN and provide new ideas for the prevention, early diagnosis and molecular therapy of DN.
Treatment-induced mood switching in affective disorders
Authors: Tang Siu Wa , Tang Wayne H. , Leonard Brian E. 
Published: December 2021

AbstractMany patients under treatment for mood disorders, in particular patients with bipolar mood disorders, experience episodes of mood switching from one state to another. Various hypotheses have been proposed to explain the mechanism of mood switching, spontaneously or induced by drug treatment. Animal models have also been used to test the role of psychotropic drugs in the switching of mood states. We examine the possible relationship between the pharmacology of psychotropic drugs and their reported incidents of induced mood switching, with reference to the various hypotheses of mechanisms of mood switching.
The Post-World War II World Order and the Unresolved Cultural Legacies of the Korean War
Authors: LIM JEEHYUN 
Published: December 2021

The Korean War has never had a notable place in American culture. A crop of recent scholarship by Korean American scholars queries the reasons for this absence of the Korean War's cultural presence, going against the critical commonplace that the war was insignificant and calling for a reckoning with the cultural legacies of the Korean War. Christine Hong's A Violent Peace, Daniel Y. Kim's The Intimacies of Conflict, and Crystal Mun-hye Baik's Reencounters illustrate new directions and new possibilities in the scholarship on the Korean War, which is dominated by historical studies often guided by traditional approaches to international relations or foreign policy. Informed by approaches in ethnic studies – and particularly the field's interest in racialization as transnational and cross-border phenomenon – these books show that it is not only productive to revisit the “forgotten war” but imperative to do so. Through a wide range of cultural texts and with an exclusive focus on the perspectives and experiences of people of color, these studies probe the underexamined role the conflict has played in shaping liberal ideas on freedom and justice, attend to the contradictions of the cultural forms that clothed these ideas in post-World War II US culture, and point to new cultural interventions that challenge and dislodge long-standing Cold War orthodoxies.
Evaluating the learning and performance characteristics of self-organizing systems with different task features
Authors: Ji Hao , Jin Yan 
Published: December 2021

AbstractSelf-organizing systems (SOS) are developed to perform complex tasks in unforeseen situations with adaptability. Predefining rules for self-organizing agents can be challenging, especially in tasks with high complexity and changing environments. Our previous work has introduced a multiagent reinforcement learning (RL) model as a design approach to solving the rule generation problem of SOS. A deep multiagent RL algorithm was devised to train agents to acquire the task and self-organizing knowledge. However, the simulation was based on one specific task environment. Sensitivity of SOS to reward functions and systematic evaluation of SOS designed with multiagent RL remain an issue. In this paper, we introduced a rotation reward function to regulate agent behaviors during training and tested different weights of such reward on SOS performance in two case studies: box-pushing and T-shape assembly. Additionally, we proposed three metrics to evaluate the SOS: learning stability, quality of learned knowledge, and scalability. Results show that depending on the type of tasks; designers may choose appropriate weights of rotation reward to obtain the full potential of agents’ learning capability. Good learning stability and quality of knowledge can be achieved with an optimal range of team sizes. Scaling up to larger team sizes has better performance than scaling downwards.
Like parent, like child: a cross-sectional study of intra-household consumption patterns of non-alcoholic beverages among British households with children
Authors: O’Leary Charlotte , Cummins Steven , Smith Richard D , Cornelsen Laura 
Published: December 2021

AbstractObjective:Most research investigating sugar-sweetened beverages (SSB) and health, conducted at the individual or household level, ignores potentially important intra-household dynamics. We analysed self-reported consumption relationships between children and adults, and between children of different ages, as well as the associations between intra-household consumption, BMI and sociodemographic characteristics.Design:A cross-sectional analysis of survey data from Kantar Fast Moving Consumer Goods panellists in September 2017.Setting:Great Britain.Participants:Random sample of 603 households with children under 18 years who regularly purchase non-alcoholic beverages.Results:Low- or no-sugar/diet beverages dominate consumption across all age categories, particularly children under 12 years. SSB consumption increased as children became older. Children’s reported consumption of SSB and low- or no-sugar/diet beverages was positively associated with consumption by adults; a child in adolescence had over nine times the odds of consuming SSB (adjusted OR 9·55, (95 % CI 5·38, 17·00), P < 0·001), and eight times the odds of consuming low- or no-sugar/diet drinks (adjusted OR 8·12, (95 % CI 4·71, 13·97), P < 0·001), if adults did so. In households with multiple children, consumption patterns of older siblings were associated with those of the younger; notably a perfect correlation between children aged 0 and 6 years consuming SSB if siblings 13–18 years did so, and children aged 7–12 years had 22 times the odds of consuming SSB if siblings aged 13–18 years did so (OR 22·33, (95 % CI 8·60, 58·01), P < 0·001).Conclusions:Multiple policies, targeting children as well as adults, such as fiscal levers and advertisement restrictions, are needed to reduce and prevent the consumption of SSB.
Global Water Scarcity Assessment Incorporating Green Water in Crop Production
Authors: Liu Wenfeng , Liu Xingcai , Yang Hong , Ciais Philippe , Wada Yoshihide 
Published: December 2021

AbstractOver the past decades, water scarcity has become prevalent in many regions of the world. Previous water scarcity assessments largely considered “blue water” (surface and groundwater) and overlooked “green water” (soil moisture), despite its key role in supporting crop production. Moreover, the long‐term evolution of water scarcity remains unclear. Here, we propose an agricultural water scarcity index (WSIAW) that explicitly combines green and blue water. The WSIAW measures the degree to which both green and blue water availabilities can satisfy the agricultural water requirement. The WSIAW can directly indicate water scarcity in both rainfed and irrigated areas, which cannot be captured by the blue water scarcity index alone. Using the WSIAW, we assessed the evolution of water scarcity across regions of the world during 1971–2010 at a spatial resolution of 0.5 arc degree. We found that 22% of the 228 river basins with a WSIAW of >1 presented a much broader geographical coverage compared with estimates of water scarcity based on blue water only (8% of total basins). The WSIAW also exhibited a clear trend of increasing severity over the study period, particularly in major agricultural regions. Expanding cropland and increasing/competing water withdrawals by other sectors were the main reasons for the intensification of water scarcity, which was pronounced in some Asian and African river basins. The proposed WSIAW can be applied to different regions with various scales and is important for addressing global water scarcity issues.
Faulting and Magmatic Accretion Across the Overlapping Spreading Center Between Vance Segment and Axial South Rift, Juan de Fuca Ridge
Authors: Le Saout M. , Clague D. A. , Paduan J. B. 
Published: December 2021

AbstractPlate divergence along mid‐ocean ridges is accommodated through faulting and magmatic accretion, and, at overlapping spreading centers (OSC), is distributed across two curvilinear overlapping ridge axes. One‐meter resolution bathymetry acquired by autonomous underwater vehicles, combined with distribution and ages of lava flows, is used to: (a) analyze the spatial and temporal distribution of flows, faults, and fissures in the OSC between the distal south rift zone of Axial Seamount and the Vance Segment, (b) locate spreading axes, (c) calculate extension, and (d) determine the proportion of extension accommodated at the surface by faults and fissures versus volcanic extrusion over a period of ∼1300–1450 years. Our study reveals that in the recent history of the ridges, extension over a distance of 14 km across the Axial/Vance OSC was asymmetric in proportion and style: faults and fissures across 1–2 km of the Vance axial valley accommodated ∼3/4 of the spreading, whereas dike‐fed eruptions contributed ∼1/4 of the extension and occurred across 4 km of the south rift of Axial Seamount.
Investigating the Basal Shear Zone of the Submarine Tuaheni Landslide Complex, New Zealand: A Core‐Log‐Seismic Integration Study
Authors: Crutchley G. J. , Elger J. , Kuhlmann J. , Mountjoy J. J. , Orpin A. , Georgiopoulou A. , Carey J. , Dugan B. , Cardona S. , Han S. , Cook A. , Screaton E. J. , Pecher I. A. , Barnes P. , Huhn K. 
Published: December 2021

AbstractAlthough submarine landslides have been studied for decades, a persistent challenge is the integration of diverse geoscientific datasets to characterize failure processes. We present a core‐log‐seismic integration study of the Tuaheni Landslide Complex to investigate intact sediments beneath the undeformed seafloor as well as post‐failure landslide deposits. Beneath the undeformed seafloor are coherent reflections underlain by a weakly‐reflective and chaotic seismic unit. This chaotic unit is characterized by variable shear strength that correlates with density fluctuations. The basal shear zone of the Tuaheni landslide likely exploited one (or more) of the low shear strength intervals. Within the landslide deposits is a widespread “Intra‐debris Reflector”, previously interpreted as the landslide's basal shear zone. This reflector is a subtle impedance drop around the boundary between upper and lower landslide units. However, there is no pronounced shear strength change across this horizon. Rather, there is a pronounced reduction in shear strength ∼10–15 m above the Intra‐debris Reflector that presumably represents an induced weak layer that developed during failure. Free gas accumulates beneath some regions of the landslide and is widespread deeper in the sedimentary sequence, suggesting that free gas may have played a role in pre‐conditioning the slope to failure. Additional pre‐conditioning or failure triggers could have been seismic shaking and associated transient fluid pressure. Our study underscores the importance of detailed core‐log‐seismic integration approaches for investigating basal shear zone development in submarine landslides.
Uncovering Flooding Mechanisms Across the Contiguous United States Through Interpretive Deep Learning on Representative Catchments
Authors: Jiang Shijie , Zheng Yi , Wang Chao , Babovic Vladan 
Published: December 2021

AbstractLong short‐term memory (LSTM) networks represent one of the most prevalent deep learning (DL) architectures in current hydrological modeling, but they remain black boxes from which process understanding can hardly be obtained. This study aims to demonstrate the potential of interpretive DL in gaining scientific insights using flood prediction across the contiguous United States (CONUS) as a case study. Two interpretation methods were adopted to decipher the machine‐captured patterns and inner workings of LSTM networks. The DL interpretation by the expected gradients method revealed three distinct input‐output relationships learned by LSTM‐based runoff models in 160 individual catchments. These relationships correspond to three flood‐inducing mechanisms—snowmelt, recent rainfall, and historical rainfall—that account for 10.1%, 60.9%, and 29.0% of the 20,908 flow peaks identified from the data set, respectively. Single flooding mechanisms dominate 70.7% of the investigated catchments (11.9% snowmelt‐dominated, 34.4% recent rainfall‐dominated, and 24.4% historical rainfall‐dominated mechanisms), and the remaining 29.3% have mixed mechanisms. The spatial variability in the dominant mechanisms reflects the catchments' geographic and climatic conditions. Moreover, the additive decomposition method unveils how the LSTM network behaves differently in retaining and discarding information when emulating different types of floods. Information from inputs within previous time steps can be partially stored in the memory of LSTM networks to predict snowmelt‐induced and historical rainfall‐induced floods, while for recent rainfall‐induced floods, only recent information is retained. Overall, this study provides a new perspective for understanding hydrological processes and extremes and demonstrates the prospect of artificial intelligence‐assisted scientific discovery in the future.
A Reduced Complexity Model With Graph Partitioning for Rapid Hydraulic Assessment of Sewer Networks
Authors: Dobson Barnaby , Watson‐Hill Hannah , Muhandes Samer , Borup Morten , Mijic Ana 
Published: December 2021

AbstractExisting, high‐fidelity models for sewer network modeling are accurate but too slow and inflexible for modern applications such as optimization or scenario analysis. Reduced complexity surrogate modeling has been applied in response to this, however, current approaches are expensive to set up and still require high‐fidelity simulations to derive parameters. In this study, we compare and develop graph partitioning algorithms to automatically group sections of sewer networks into semi‐distributed compartments. These compartments can then be simulated using sewer network information only in the integrated modeling framework, CityWat‐SemiDistributed (CWSD), which has been developed for application to sewer network modeling in this study. We find that combining graph partitioning with CWSD can produce accurate simulations 100–1,000× faster than existing high‐fidelity modeling. Because we anticipate that many CWSD users will not have high‐fidelity models available, we demonstrate that the approach provides reasonable simulations even under significant parametric uncertainty through a sensitivity analysis. We compare multiple graph partitioning techniques enabling users to specify the spatial aggregation of the partitioned network, also enabling them to preserve key locations for simulation. We test the impact of temporal resolution, finding that accurate simulations can be produced with timesteps up to one hour. Our experiments show a log‐log relationship between temporal/spatial resolution and simulation time, enabling users to pre‐specify the efficiency and accuracy needed for their applications. We expect that the efficiency and flexibility of our approach may facilitate novel applications of sewer network models ranging from continuous simulations for long‐term planning to spatially optimizing the placement of network sensors.
Integration of genome-wide association studies and gene coexpression networks unveils promising soybean resistance genes against five common fungal pathogens
Authors: Almeida-Silva Fabricio , Venancio Thiago M. 
Published: December 2021

AbstractSoybean is one of the most important legume crops worldwide. However, soybean yield is dramatically affected by fungal diseases, leading to economic losses of billions of dollars yearly. Here, we integrated publicly available genome-wide association studies and transcriptomic data to prioritize candidate genes associated with resistance to Cadophora gregata, Fusarium graminearum, Fusarium virguliforme, Macrophomina phaseolina, and Phakopsora pachyrhizi. We identified 188, 56, 11, 8, and 3 high-confidence candidates for resistance to F. virguliforme, F. graminearum, C. gregata, M. phaseolina and P. pachyrhizi, respectively. The prioritized candidate genes are highly conserved in the pangenome of cultivated soybeans and are heavily biased towards fungal species-specific defense responses. The vast majority of the prioritized candidate resistance genes are related to plant immunity processes, such as recognition, signaling, oxidative stress, systemic acquired resistance, and physical defense. Based on the number of resistance alleles, we selected the five most resistant accessions against each fungal species in the soybean USDA germplasm. Interestingly, the most resistant accessions do not reach the maximum theoretical resistance potential. Hence, they can be further improved to increase resistance in breeding programs or through genetic engineering. Finally, the coexpression network generated here is available in a user-friendly web application (https://soyfungigcn.venanciogroup.uenf.br/) and an R/Shiny package (https://github.com/almeidasilvaf/SoyFungiGCN) that serve as a public resource to explore soybean-pathogenic fungi interactions at the transcriptional level.