bluuebunny/crossref_metadata_2025_split huggingface dataset:
Influence of natural gas component changes on hydrate generation temperature and pressure
Authors: Wang Yubin , Liu Wei , Li Bin , Yan Xiaochen , Wang Yunchen , Xiao Fan 
Published: June 2024

Abstract
During the transportation of natural gas through pipelines, there is a potential for the formation of gas hydrates. These hydrates can result in pipeline blockages, causing economic losses and significant safety hazards. Therefore, it holds crucial reference value to understand the conditions under which hydrates are formed and to grasp the laws governing their generation for effective prevention and control. This study employs the P-P hydrate thermodynamic model to compute the temperature and pressure at which natural gas generates hydrates. We also explore the impact of changes in the composition of natural gas on the temperature and pressure required for hydrate formation. This helps us discern the sensitivity of hydrate formation conditions to various components. Our findings indicate that propane, isobutane, and H2S substantially influence hydrate formation under the same percentage of alteration. For instance, a 3% increase in these three components results in a temperature increase of 2.36°C, 2.83°C, and 2.14°C, respectively, for hydrate formation at 100 bar.
Modeling and simulating the thermal management system of a hydrogen fuel cell
Authors: Li Haoran , Wang Jun , Cheng Yanjie , Wang Zewen , Tang Jiabao 
Published: June 2024

Abstract
Hydrogen energy is an important means of achieving decarbonization goals. Hydrogen fuel cells have broad application prospects due to their high-power output and wide temperature range. To improve the heat dissipation capacity of the fuel cell thermal management system, this paper establishes a simulation model of a 60kw fuel cell. The performance of the fuel cell engine thermal management system model under optimal operating parameters is studied by taking the temperature of the inlet and outlet water of the stack as the observation value. This is significant in improving the thermal environment of the fuel cell engine and ensuring its safe and efficient operation.
The nonlinear impact of climate change on inland waterway transportation in the Upper Mississippi—Illinois River Region
Authors: Chen Zhenhua , Li Zekun , Cheng Junmei 
Published: June 2024

Abstract
The U.S. inland waterway system has played a critical role in promoting economic growth by efficiently transporting agricultural and manufacturing commodities along major riverine systems, such as the Mississippi River. However, the system faces escalating challenges due to the growing disruptions caused by climate change. For instance, the drought of the Mississippi River during the fall of 2022 resulted in an unprecedented increase in barge shipping rates. While the industry generally recognizes that climate change can significantly impact agricultural supply chains, it remains unclear how various environmental factors, including changes in water levels and temperature, affect inland waterway operations. This study aims to fill this research gap by conducting an empirical assessment of the impact of climate change-related factors on the operations of the inland waterway system in the Upper Mississippi—Illinois River Region. Unlike previous studies using conventional regression analysis, this study investigates the nonlinear relationship between changes in barge shipping rates and various environmental factors using the Gradient Boosting Decision Trees machine-learning method. Our analysis identifies the 29 ft gage height as a pivotal threshold influencing barge rates; rates tend to rise as the gage height decreases, and surpassing this threshold can also lead to increased shipping rates. This new approach enhances the model’s predictive capacity, allowing for a better understanding of the nonlinear effects of climate change on barge rates and productivity. It also enables planners and operational agencies to better understand the uncertainty of environmental conditions on the variations in barge rates and productivity performance. These findings provide valuable insights for decision-makers to understand the threshold effect of environmental conditions on inland waterway operations and facilitate the creation of effective adaptive strategies to mitigate future risks and consequences of climate change-induced disruptions.
Negligence and the Reasonable Person
Authors: Dagan Hanoch , Dorfman Avihay 
Published: June 2024

Abstract
The doctrine of due care in the law of negligence is famously associated with the standard of the reasonable person, meaning that both the defendant and the plaintiff are expected to meet this standard’s demands. It is commonly believed that one and the same standard, which can be either objective or subjective, applies across the plaintiff/defendant distinction. This chapter challenges this widely held view by focusing on an important doctrinal trend, which features a double asymmetry of due care: between defendants and plaintiffs and between under- and over-skilled defendants. This asymmetry, inexplicable in the dominant tort theories of economic efficiency and corrective justice, is clearly called for once private law is grounded in relational justice, where it functions as a necessary means for addressing the vulnerability imbalances at hand. Relational justice’s commitment to substantive freedom and equality helps identify these imbalances, explaining why they matter, and articulating negligence law’s fitting response.
Ancient Roman Literary Gardens
Authors: Myers K Sara 
Published: June 2024

Abstract
This book offers the first full and in-depth study of the representation of gardens in Latin Literature. Through close readings of the major Latin texts, primarily of the first centuries BCE and CE, it examines the function of garden descriptions in terms of their generic and literary codes and models, their gender constructions, and the ways in which garden descriptions function within the narrative structures of texts and reflect metapoetically on the work itself (geopoetics). Combining fresh dialogues with literary criticism, ancient garden studies, and close readings of poetry and prose, this study sheds new light on a number of central texts. Included are discussions of a broad range of Roman authors, such as Cicero, Catullus, Vergil, Varro, Horace, Ovid, Petronius, Columella, Statius, Pliny the Elder and Younger, the Carmina Priapea, and the Vergilian Appendix. The work shows that garden spaces in literature function in ways that are important to an understanding of the aesthetic and ethical values of a given literary work, while offering insights into ancient Roman attitudes towards gender, art, and human relationships with nature.
Introduction
Authors: Myers K Sara 
Published: June 2024

Abstract
The introduction explains why the categories of gender, genre, and geopoetics provide a broad approach for organizing a wide range of texts. It begins with an introduction to ancient garden studies: literary, art historical, and archaeological. It offers definitions of the types of Roman gardens, the identification of gardens in literature, and methods of analyzing these representations. Contemporary spatial theory has encouraged an exploration of the relationship between identity and the environment and how places are invested with meaning and connect with cultural practices. Archaeology reveals much about actual Roman gardens, but ancient texts tend to follow literary and generic models. In Latin literature gardens figure as symbols of literary artistry (or geopoetics). The gender dynamics of literary gardens depict men as cultivators and women as cultivated and while male associations with the garden represent a range of positive ideals, women in gardens are usually sexualized.
Masculine Horticultural Self-Fashioning
Authors: Myers K Sara 
Published: June 2024

Abstract
Beginning with Cicero and Varro and ending with Statius and Pliny the Younger, this chapter offers a chronological investigation of the ways in which real and literary gardens developed from the first century bce to the first century ce as a means of elite masculine self-representation and the reactions of elite Roman men to the increased social and cultural power of villa and horti estates and their grounds. Gardens served as powerful symbols of wealth and as creative displays of the cultural aspirations of their owners in ways that challenged traditional definitions of gardens and of Roman manliness. Since these large-scale “gardens” are primarily associated with leisure (otium), authors are concerned with describing and justifying their activities in these sites as befitting Roman masculine ideals. We can trace a change in attitude toward leisure and the private display of wealth, and consequently gardens, largely attributed to changes in the sociopolitical circumstances of the Roman elite, in the works of Statius and his contemporary Pliny the Younger, who use laudatory descriptions of extensive villas and grounds as a means of expressing social and literary power.
Women in the Garden
Authors: Myers K Sara 
Published: June 2024

Abstract
Chapter 3 looks at how Catullus and Ovid engage with the Greek literary motif of the protected (premarital) virginal garden, primarily found in lyric poetry and tragedy. These passages place women in the center of the garden. In his two wedding poems 61 and 62, Catullus follows a Greek hymeneal tradition that represented the young bride (and sometimes groom) as a protected, yet ephemeral, plant in an enclosed garden. While the garden offers the flower/bride nurturing, it also symbolizes the containment and control of her sexuality by her male guardian. The two poems give different perspectives, male and female, on the experience of the bride. Ovid too gestures toward this Greek literary tradition in his two extraordinary garden passages, one each in the Metamorphoses and Fasti, which are presided over by the Roman female plant divinities, Pomona and Flora. Ovid uses these garden descriptions to reflect metapoetically on the complementary poetics of the Fasti and Metamorphoses and to create cross-generic tensions between them. In both poems the bounded nature of garden space is exploited by Ovid for gender and genre crossing.
Introduction
Authors: Rodrigues Valerian 
Published: June 2024

AbstractThe Introduction highlights what Ambedkar regarded as the enduring influences on his thinking. The influence of two of his three gurus on him—Kabir, and Jotirao Phule—is highlighted here, while that of the Buddha finds a mention across all the chapters. The impact of John Dewey resonates across many of his writings. The new liberals and the Fabian strand of thought had a distinct bearing on him. He located himself within a fledgling Dalit Public in Bombay, which was a colonial industrial hub, and a hotbed of nationalism in India. The aim of this study is to reflectively consider the basic concepts that formed Ambedkar’s frame of politics which at the same time addresses the concerns of those at the social margins everywhere.
Nationalism
Authors: Rodrigues Valerian 
Published: June 2024

AbstractNationalism has pitchforked its claim as the basis of political community under modernity. It is a new and different kind of bond that arises with the entry of the masses into the public arena and seeks its own state, and is irreducible to common history, race, territory, or religion. The emotive snare it casts proves irresistible and those smitten by it are not prepared to trade it off. In the name of swaraj, the just claim of everyone to be equal participants in the bond of nationalism cannot be ignored. As a nationality, however, this bond may not seek independent statehood, but may coexist within a common state. It is also important to distinguish community as a distinct set of interests from nationality. Ambedkar thought that the demand for Pakistan has succeeded in metamorphosing itself as nationalism and the Indian National Congress cannot absolve itself fully from its share of blame for this development.
On Political Representation
Authors: Rodrigues Valerian 
Published: June 2024

AbstractAmbedkar conceived representation as an instrument to shift embedded domination to emancipatory possibilities. It must address the conditions of specific societies, and the political and institutional complexes in place, expressed in the memorable metaphor, ‘the coat must fit’. The emerging post-colonial dispensation in India was a matter of special concern. In plural societies, where there is an ethnic majority distinct from the ethnic minority/minorities, if representation is not sensitive to this social fact it may reproduce these very same relations in the political domain, reducing the latter permanently to subservience. Where relations between the majority and minority are open-ended, and there are close bonds between them, there could be joint representation with reservation to the minority, but where they are closed against one another, then the minority deserves separate representation. Ambedkar proposed a scheme of ‘cycles of participation’ to address the Adivasi concerns in India.
The healthy participant effect: insights and results from a population-based case–control study on breast cancer
Authors: Maldonado-Cañón Kevin , Möhl Annika , Obi Nadia , Behrens Sabine , Flaßkamp Fabian , Seibold Petra , Chang-Claude Jenny , Becher Heiko 
Published: June 2024

Abstract
Agreement to participate in case–control studies has become low. Healthy participant bias resulting from differential response proportions in cases and controls can distort results; however, the magnitude of bias is difficult to assess. We investigated the effect in a large population-based case–control study on breast cancer, with a participation rate of 43.4% and 64.1% for controls and cases, respectively. We performed a mortality follow-up in 2020 for 3813 cases and 7335 controls recruited during 2002-2005. Standardized mortality ratios (SMRs) for overall mortality and selected causes of death were estimated. The mean age at recruitment was 63.1 years. The overall mortality for controls was 0.66 times lower (95% CI, 0.62–0.69) than for the reference population. For causes of death other than breast cancer, SMRs were similar in cases and controls (0.70 and 0.64). Higher education was associated with lower SMRs in both cases and controls. Options for adjusting the healthy participant bias are limited if the true risk factor distribution in the underlying population is unknown. However, a relevant bias in this particular case–control study is considered unlikely since a similar healthy participant effect was observed for both controls and cases.
Nonbenzodiazepine hypnotics and police-reported motor vehicle crash risk among older adults: a sequential target trial emulation
Authors: Zullo Andrew R , Khan Marzan A , Pfeiffer Melissa R , Margolis Seth A , Ott Brian R , Curry Allison E , Bayer Thomas A , Riester Melissa R , Joyce Nina R 
Published: June 2024

Abstract
Nonbenzodiazepine hypnotics (“Z-drugs”) are prescribed for insomnia but might increase the risk of motor vehicle crash (MVC) among older adults through prolonged drowsiness and delayed reaction times. We estimated the effect of initiating Z-drug treatment on the 12-week risk of MVC in a sequential target trial emulation. After linking New Jersey driver licensing and police-reported MVC data to Medicare claims, we emulated a new target trial each week (July 1, 2007, to October 7, 2017) in which Medicare fee-for-service beneficiaries were classified as Z-drug-treated or untreated at baseline and followed for an MVC. We used inverse probability of treatment and censoring-weighted pooled logistic regression models to estimate risk ratios (RRs) and risk differences with 95% bootstrap confidence limits (CLs). There were 257 554 person-trials, of which 103 371 were Z-drug-treated and 154 183 untreated, giving rise to 976 and 1249 MVCs, respectively. The intention-to-treat RR was 1.06 (95% CL, 0.95-1.16). For the per-protocol estimand, there were 800 MVCs and 1241 MVCs among treated and untreated person-trials, respectively, suggesting a reduced MVC risk (RR, 0.83; 95% CL, 0.74-0.92) with sustained Z-drug treatment. Z-drugs should be prescribed to older patients judiciously but not withheld entirely over concerns about MVC risk.
This article is part of a Special Collection on Pharmacoepidemiology.
MvMRL: a multi-view molecular representation learning method for molecular property prediction
Authors: Zhang Ru , Lin Yanmei , Wu Yijia , Deng Lei , Zhang Hao , Liao Mingzhi , Peng Yuzhong 
Published: June 2024

AbstractEffective molecular representation learning is very important for Artificial Intelligence-driven Drug Design because it affects the accuracy and efficiency of molecular property prediction and other molecular modeling relevant tasks. However, previous molecular representation learning studies often suffer from limitations, such as over-reliance on a single molecular representation, failure to fully capture both local and global information in molecular structure, and ineffective integration of multiscale features from different molecular representations. These limitations restrict the complete and accurate representation of molecular structure and properties, ultimately impacting the accuracy of predicting molecular properties. To this end, we propose a novel multi-view molecular representation learning method called MvMRL, which can incorporate feature information from multiple molecular representations and capture both local and global information from different views well, thus improving molecular property prediction. Specifically, MvMRL consists of four parts: a multiscale CNN-SE Simplified Molecular Input Line Entry System (SMILES) learning component and a multiscale Graph Neural Network encoder to extract local feature information and global feature information from the SMILES view and the molecular graph view, respectively; a Multi-Layer Perceptron network to capture complex non-linear relationship features from the molecular fingerprint view; and a dual cross-attention component to fuse feature information on the multi-views deeply for predicting molecular properties. We evaluate the performance of MvMRL on 11 benchmark datasets, and experimental results show that MvMRL outperforms state-of-the-art methods, indicating its rationality and effectiveness in molecular property prediction. The source code of MvMRL was released in https://github.com/jedison-github/MvMRL.
HLAIImaster: a deep learning method with adaptive domain knowledge predicts HLA II neoepitope immunogenic responses
Authors: Yang Qiang , Xu Long , Dong Weihe , Li Xiaokun , Wang Kuanquan , Dong Suyu , Zhang Xianyu , Yang Tiansong , Jiang Feng , Zhang Bin , Luo Gongning , Gao Xin , Wang Guohua 
Published: June 2024

Abstract
While significant strides have been made in predicting neoepitopes that trigger autologous CD4+ T cell responses, accurately identifying the antigen presentation by human leukocyte antigen (HLA) class II molecules remains a challenge. This identification is critical for developing vaccines and cancer immunotherapies. Current prediction methods are limited, primarily due to a lack of high-quality training epitope datasets and algorithmic constraints. To predict the exogenous HLA class II-restricted peptides across most of the human population, we utilized the mass spectrometry data to profile &gt;223 000 eluted ligands over HLA-DR, -DQ, and -DP alleles. Here, by integrating these data with peptide processing and gene expression, we introduce HLAIImaster, an attention-based deep learning framework with adaptive domain knowledge for predicting neoepitope immunogenicity. Leveraging diverse biological characteristics and our enhanced deep learning framework, HLAIImaster is significantly improved against existing tools in terms of positive predictive value across various neoantigen studies. Robust domain knowledge learning accurately identifies neoepitope immunogenicity, bridging the gap between neoantigen biology and the clinical setting and paving the way for future neoantigen-based therapies to provide greater clinical benefit. In summary, we present a comprehensive exploitation of the immunogenic neoepitope repertoire of cancers, facilitating the effective development of “just-in-time” personalized vaccines.
Phylogenetic inference of inter-population transmission rates for infectious diseases
Authors: Gay Skylar A , Ellison Gregory , Xu Jianing , Yang Jialin , Wei Yiliang , Wu Shaoyuan , Yu Lili , Whalen Christopher C , Arnold Jonathan , Liu Liang 
Published: June 2024

Abstract
Estimating transmission rates is a challenging yet essential aspect of comprehending and controlling the spread of infectious diseases. Various methods exist for estimating transmission rates, each with distinct assumptions, data needs, and constraints. This study introduces a novel phylogenetic approach called transRate, which integrates genetic information with traditional epidemiological approaches to estimate inter-population transmission rates. The phylogenetic method is statistically consistent as the sample size (i.e. the number of pathogen genomes) approaches infinity under the multi-population susceptible-infected-recovered model. Simulation analyses indicate that transRate can accurately estimate the transmission rate with a sample size of 200 ~ 400 pathogen genomes. Using transRate, we analyzed 40,028 high-quality sequences of SARS-CoV-2 in human hosts during the early pandemic. Our analysis uncovered significant transmission between populations even before widespread travel restrictions were implemented. The development of transRate provides valuable insights for scientists and public health officials to enhance their understanding of the pandemic’s progression and aiding in preparedness for future viral outbreaks. As public databases for genomic sequences continue to expand, transRate is increasingly vital for tracking and mitigating the spread of infectious diseases.
Differential recall bias in estimating treatment effects in observational studies
Authors: Bong Suhwan , Lee Kwonsang , Dominici Francesca 
Published: June 2024

ABSTRACT
Observational studies are frequently used to estimate the effect of an exposure or treatment on an outcome. To obtain an unbiased estimate of the treatment effect, it is crucial to measure the exposure accurately. A common type of exposure misclassification is recall bias, which occurs in retrospective cohort studies when study subjects may inaccurately recall their past exposure. Particularly challenging is differential recall bias in the context of self-reported binary exposures, where the bias may be directional rather than random and its extent varies according to the outcomes experienced. This paper makes several contributions: (1) it establishes bounds for the average treatment effect even when a validation study is not available; (2) it proposes multiple estimation methods across various strategies predicated on different assumptions; and (3) it suggests a sensitivity analysis technique to assess the robustness of the causal conclusion, incorporating insights from prior research. The effectiveness of these methods is demonstrated through simulation studies that explore various model misspecification scenarios. These approaches are then applied to investigate the effect of childhood physical abuse on mental health in adulthood.