bluuebunny/crossref_metadata_2025_split huggingface dataset:
Jurisdiction and the Moral Impact Theory of Law
Authors: Green Michael S. 
Published: March 2023

AbstractPositivists and interpretivists (Dworkinians) might accept that conceptual facts about the law—facts about the content of the concept of law—can obtain in the absence of communities with law practices. But they would deny that legal facts can obtain in such communities’ absence. Under the moral impact theory, by contrast, legal facts can precede all communities with law practices. I identify a set of legal facts in private international law—the law of jurisdiction—that concerns when a community's law practices can, and cannot, have the legal effects that the practices claim to have. This law is noncommunitarian, in the sense that it precedes the communities to which it applies. In this law's light, the legal effects of communities’ law practices are legally coordinated (or, at the very least, can be shown to legally conflict). Although interest in, and even commitment to, a noncommunitarian law of jurisdiction has receded among private international law theorists, I argue that some well-placed questions can elicit from all of us a commitment to this law. And this commitment is a reason to believe that the moral impact theory is correct.
A measure of last resort: Pseudo-constitutionalism and the persistence of a self-restraint slogan in Argentina
Authors: González Bertomeu Juan F 
Published: March 2023

AbstractThis article addresses the bastardization of constitutional law in Argentina and the corrosive power of legacies of authoritarianism. It offers a genealogy of the use by Argentina’s Supreme Court of self-restraint canons from the time when they were borrowed from the US Supreme Court in the late nineteenth century. Partly resulting from the country’s experiences with military rule, the court transformed or expanded these canons, which entailed a gradual depreciation of statutes as the (uneasy) cornerstone of constitutionalism. Based on a fresh dataset and employing narrative and network analysis, the article focuses on a slogan the court has invoked since the 1960s: invalidating a rule is a matter of extreme institutional gravity and hence a strategy of last resort. Under the 1976–83 dictatorship, the court applied the slogan to various rules, including those passed by the military. It thus invoked familiar canons outside its scope conditions, conveying an illusion of constitutional regularity by masking the abnormal in acceptable garb and contributing to the regime’s legitimation. While the democratic court abandoned the most blatant expressions of authoritarianism, connections persisted, manifesting in the frequent citations to the dictatorship court’s use of the slogan and its extension to any rule. Authoritarian legacies die hard.
Convection Cells With Accumulating Crust: Models of Continent and Mantle Evolution
Authors: Whitehead J. A. 
Published: March 2023

AbstractNumerical calculations of two component cellular convection with a lighter component diffusing down from the top are a simple model of the convection of rocky planets with a crust. The crust either is mixed down, floats along the top as blobs (continents separated by ocean basins), or forms layers. The calculations are for very viscous fluid with density variations from temperature and the lighter component representing the crust. If variations are approximately the same size, the lighter component collects along the top into H‐shaped blobs/clusters that have a flat midsection with two lobes on each end. Elevations are calculated for a free upper surface and the shape resembles continent and ocean floor topography with level interiors and thickening (mountains) at the edges produced by sinking at the margins. Between each pair of clusters, thermal and concentration boundary layers resemble ocean basins with spreading centers. Convection is unsteady but introducing internal decay of the lighter concentration produces steady flow. Internal heating produces similar results along with periodic drifting and merging of blobs like some geological cycles. The fact that these features arise without phase changes or viscosity variation implies that blobs of continent‐like crust might be widely found on rocky planets.
Response of Surface Ocean pCO2 to Tropical Cyclones in Two Contrasting Basins of the Northern Indian Ocean
Authors: Bhattacharya Trishneeta , Chakraborty Kunal , Ghoshal Prasanna Kanti , Ghosh Jayashree , Baduru Balaji 
Published: March 2023

AbstractThis study examines the impact of two very severe tropical cyclonic events, Phailin (over the Bay of Bengal) and Ockhi (over the Arabian Sea), on surface ocean pCO2 and the associated changes in the upper ocean structure using a coupled biogeochemical ROMS model. The primary productivity averaged over the mixed layer is increased from 6.9 to 12.0 (7.2–45.6) mgCm−3d−1 in response to Phailin (Ockhi). A decomposition analysis reveals that the mean contribution of temperature‐driven changes in inducing pCO2 variability in response to pre‐ and post‐cyclonic conditions, in case of Phailin (Ockhi), are 5.4 (−8.8) and −7.6 (−58.8) μatm whereas dissolved inorganic carbon (DIC) driven changes are 23.6 (19.5) and 27.8 (78.0) μatm. Although salinity and total alkalinity have a relatively lesser control in inducing pCO2 variability, salinity's response to the post‐Phailin conditions is significant owing to strong salinity stratification in the Bay of Bengal. The enhancement of DIC is more in the near‐surface waters than its removal by net biological processes resulting in the dominance of cyclone‐induced upwelling and associated vertical mixing driven changes over the enhanced biology‐driven changes in controlling pCO2 variability during both cyclones. Despite comparable magnitudes of environmental forcing during both cyclones, the oceanic response to Phailin is comparatively short‐lived and subdued due to stronger stratification in the Bay of Bengal. A relatively large ratio of DIC to total alkalinity in the upper layers of Arabian Sea facilitates a higher pCO2 response to Ockhi. This makes Ockhi a greater source of CO2 to the atmosphere.
On the Spatial Scale Dependence of Long‐Term Persistence in Global Annual Precipitation Data and the Hurst Phenomenon
Authors: O’Connell Enda , O’Donnell Greg , Koutsoyiannis Demetris 
Published: March 2023

AbstractPrecipitation deficits are the main physical drivers of droughts across the globe, and their level of persistence can be characterized by the Hurst coefficient H (0.5 < H < 1), with high H indicating strong long‐term persistence (LTP). Previous analyses of point and gridded annual global precipitation datasets have concluded that LTP in precipitation is weak (H ∼ 0.6) which is inconsistent with higher values of H for large river basins, for example, the Nile. Based on an analysis of gridded annual precipitation data for eight selected regions distributed across the globe, an important new finding is that H increases with the spatial scale of averaging, with mean H values at the grid and regional scale of 0.66 and 0.83, respectively. The discovery of enhanced LTP at the regional scale of averaging of precipitation has important implications for characterizing the severity of regional droughts, as well as LTP in the annual flows of large rivers and recharge to major aquifers. Teleconnections with known modes of low frequency variability in the global climate system are demonstrated using correlation analysis and stepwise regression. Despite having several constituent regions exhibiting LTP, the Northern Hemisphere surprisingly has no LTP; this is shown to result from different modes of low frequency climatic variability canceling each other out. LTP for the Southern Hemisphere is moderate, and weak for Global average precipitation. LTP in Blue Nile basin scale precipitation is shown to explain the Hurst Phenomenon in naturalized annual flows for the River Nile, more than 70 years after its discovery by Hurst.
Influence of the Madden‐Julian Oscillation on Continental United States Hurricane Landfalls
Authors: Klotzbach Philip J. , Schreck Carl J. , Compo Gilbert P. , Wood Kimberly M. , Oliver Eric C. J. , Bowen Steven G. , Bell Michael M. 
Published: March 2023

AbstractThe Madden‐Julian oscillation (MJO) significantly impacts North Atlantic hurricanes, with increased hurricane activity occurring when the MJO enhances convection over Africa and the tropical Indian Ocean and suppressed hurricane activity occurring when the MJO enhances convection over the tropical Pacific. Using data from 1905 to 2015, we find more tropical cyclones (TCs) make landfall in the continental United States when the MJO enhances tropical Indian Ocean convection. In addition, when the MJO enhances Western Pacific and Western Hemisphere convection, TC activity is preferentially favored in the Caribbean, leading to more Gulf Coast landfalls. As MJO‐enhanced convection moves to the Indian Ocean and Maritime Continent, more storms form in the tropical Atlantic, favoring Florida Peninsula and East Coast landfalls. The MJO's TC steering wind modulation appears to be secondary to its genesis location modulation.
Neuronal network activity and connectivity are impaired in a conditional knockout mouse model with PCDH19 mosaic expression
Authors: Giansante Giorgia , Mazzoleni Sara , Zippo Antonio G. , Ponzoni Luisa , Ghilardi Anna , Maiellano Greta , Lewerissa Elly , van Hugte Eline , Nadif Kasri Nael , Francolini Maura , Sala Mariaelvina , Murru Luca , Bassani Silvia , Passafaro Maria 
Published: March 2023

AbstractMutations in PCDH19 gene, which encodes protocadherin-19 (PCDH19), cause Developmental and Epileptic Encephalopathy 9 (DEE9). Heterogeneous loss of PCDH19 expression in neurons is considered a key determinant of the disorder; however, how PCDH19 mosaic expression affects neuronal network activity and circuits is largely unclear. Here, we show that the hippocampus of Pcdh19 mosaic mice is characterized by structural and functional synaptic defects and by the presence of PCDH19-negative hyperexcitable neurons. Furthermore, global reduction of network firing rate and increased neuronal synchronization have been observed in different limbic system areas. Finally, network activity analysis in freely behaving mice revealed a decrease in excitatory/inhibitory ratio and functional hyperconnectivity within the limbic system of Pcdh19 mosaic mice. Altogether, these results indicate that altered PCDH19 expression profoundly affects circuit wiring and functioning, and provide new key to interpret DEE9 pathogenesis.
Autonomous atomic Hamiltonian construction and active sampling of X-ray absorption spectroscopy by adversarial Bayesian optimization
Authors: Zhang Yixuan , Xie Ruiwen , Long Teng , Günzing Damian , Wende Heiko , Ollefs Katharina J. , Zhang Hongbin 
Published: March 2023

AbstractX-ray absorption spectroscopy (XAS) is a well-established method for in-depth characterization of electronic structure. In practice hundreds of energy-points should be sampled during the measurements, and most of them are redundant. Additionally, it is also tedious to estimate reasonable parameters in the atomic Hamiltonians for mechanistic understanding. We implement an Adversarial Bayesian optimization (ABO) algorithm comprising two coupled BOs to automatically fit the many-body model Hamiltonians and to sample effectively based on active learning (AL). Taking NiO as an example, we find that less than 30 sampling points are sufficient to recover the complete XAS with the corresponding crystal field and charge transfer models, which can be selected based on intuitive hypothesis learning. Further applications on the experimental XAS spectra reveal that less than 80 sampling points give reasonable XAS and reliable atomic model parameters. Our ABO algorithm has a great potential for future applications on automated physics-driven XAS analysis and AL sampling.
A scoping review of neurodegenerative manifestations in explainable digital phenotyping
Authors: Alfalahi Hessa , Dias Sofia B. , Khandoker Ahsan H. , Chaudhuri Kallol Ray , Hadjileontiadis Leontios J. 
Published: March 2023

AbstractNeurologists nowadays no longer view neurodegenerative diseases, like Parkinson’s and Alzheimer’s disease, as single entities, but rather as a spectrum of multifaceted symptoms with heterogeneous progression courses and treatment responses. The definition of the naturalistic behavioral repertoire of early neurodegenerative manifestations is still elusive, impeding early diagnosis and intervention. Central to this view is the role of artificial intelligence (AI) in reinforcing the depth of phenotypic information, thereby supporting the paradigm shift to precision medicine and personalized healthcare. This suggestion advocates the definition of disease subtypes in a new biomarker-supported nosology framework, yet without empirical consensus on standardization, reliability and interpretability. Although the well-defined neurodegenerative processes, linked to a triad of motor and non-motor preclinical symptoms, are detected by clinical intuition, we undertake an unbiased data-driven approach to identify different patterns of neuropathology distribution based on the naturalistic behavior data inherent to populations in-the-wild. We appraise the role of remote technologies in the definition of digital phenotyping specific to brain-, body- and social-level neurodegenerative subtle symptoms, emphasizing inter- and intra-patient variability powered by deep learning. As such, the present review endeavors to exploit digital technologies and AI to create disease-specific phenotypic explanations, facilitating the understanding of neurodegenerative diseases as “bio-psycho-social” conditions. Not only does this translational effort within explainable digital phenotyping foster the understanding of disease-induced traits, but it also enhances diagnostic and, eventually, treatment personalization.
A Large-Scale Dataset of Three-Dimensional Solar Magnetic Fields Extrapolated by Nonlinear Force-Free Method
Authors: Zhao Zhongrui , Xu Long , Zhu Xiaoshuai , Zhang Xinze , Liu Sixuan , Huang Xin , Ren Zhixiang , Tian Yonghong 
Published: March 2023

AbstractIt has been widely accepted that solar magnetic field manipulates all solar activities, especially violent solar bursts in solar corona. Thus, it is extremely important to reconstruct three-dimentional (3D) magnetic field of solar corona from really observed photospheric magnetogram. In this paper, a large-scale dataset of 3D solar magnetic fields of active regions is built by using the nonlinear force-free magnetic field (NLFFF) extrapolation from vector magnetograms of Helioseismic and Magnetic Imager (HMI) on Solar Dynamics Observatory (SDO). In this dataset, all space-weather HMI active region patches (SHARPs) with the corresponding serial numbers of national oceanic and atmospheric administration (NOAA) are included. They are downloaded from the SHARP 720 s series of JSOC every 96 minutes. In addition, each sample is labelled with a finer grained label for solar flare forecast. This paper is with the purpose of open availability of data resource and source code to the peers for refraining from repeated labor of data preparation. Meanwhile, with such a large-scale, high spatio-temporal resolution and high quality scientific data, we anticipate a wide attention and interest from artificial intelligence (AI) and computer vision communities, for exploring AI for astronomy over such a large-scale dataset.
Association of obesity with incident atrial fibrillation in Korea and the United Kingdom
Authors: Choi Sung Hwa , Yang Pil-Sung , Kim Daehoon , Sung Jung-Hoon , Jang Eunsun , Yu Hee Tae , Kim Tae-Hoon , Pak Hui-Nam , Lee Moon-Hyoung , Lip Gregory Y. H. , Joung Boyoung 
Published: March 2023

AbstractObesity has been linked to atrial fibrillation (AF) burden and severity, and epidemiological studies suggest that AF is more prevalent in whites than Asian. We aimed to investigate whether obesity mediates associations with AF in Europe and Asia using patient-level data comparisons of two cohort studies. Using Korean National Health Insurance Service’s Health Screening (NHIS-HealS) and U.K. Biobank data, we included 401,206 Korean and 477,926 British aged 40–70 years without previous AF who received check-ups. The incidence and risk of AF were evaluated regarding different body mass index (BMI) values. The obese proportion (BMI ≥ 30.0 kg/m2, 2.8% vs. 24.3%, P < 0.001) was higher in the U.K. than the Korean. In the Korean and U.K. cohort, the age- and sex-adjusted incidence rates of AF were 4.97 and 6.54 per 1000 person-years among obese individuals. Compared to Koreans, the risk of AF was higher in the British population, with adjusted hazard ratios of 1.41 (Korea, 95% CI 1.26–1.58) and 1.68 (UK, 95% CI 1.54–1.82) in obese participants (P for interaction < 0.05). Obesity was associated with AF in both populations. British subjects had a greater incidence of AF related to the high proportion of obese individuals, especially participants in the obesity category, the risk of AF also increased.
New design for control cage to enhance coverage and uniformity of shot blasting and its validation using DEM and experiment
Authors: Seo Hyeryeon , Kim Taehyung , Yang Chulho , Park Junyoung 
Published: March 2023

AbstractUnlike shot peening, shot blasting is a process that primarily uses shot balls to remove foreign substances from metal surfaces. Shot blasting is classified into air-blowing and impeller-impact types. The latter is widely used in commercial large-scale shot blasting. This study proposes a new control cage with a concave or convex shape to improve coverage and uniformity in the impeller-impact type shot blaster. The effectiveness of the proposed control cage is verified using discrete element methods and experiments. Moreover, the optimal design in terms of mass flow, coverage, and uniformity is confirmed. Additionally, the distribution of marks on the surface is analyzed through experiments and simulations. Further, the shot ball is projected over a wider area on the surface when the new concave and convex model is employed at the control cage. Consequently, we confirm that the control cage with a concave shape forms approximately a 5-% higher coverage than the conventional model and uniform shot marks while using a low mass flow rate.
A standardized framework for risk-based assessment of treatment effect heterogeneity in observational healthcare databases
Authors: Rekkas Alexandros , van Klaveren David , Ryan Patrick B. , Steyerberg Ewout W. , Kent David M. , Rijnbeek Peter R. 
Published: March 2023

AbstractTreatment effects are often anticipated to vary across groups of patients with different baseline risk. The Predictive Approaches to Treatment Effect Heterogeneity (PATH) statement focused on baseline risk as a robust predictor of treatment effect and provided guidance on risk-based assessment of treatment effect heterogeneity in a randomized controlled trial. The aim of this study is to extend this approach to the observational setting using a standardized scalable framework. The proposed framework consists of five steps: (1) definition of the research aim, i.e., the population, the treatment, the comparator and the outcome(s) of interest; (2) identification of relevant databases; (3) development of a prediction model for the outcome(s) of interest; (4) estimation of relative and absolute treatment effect within strata of predicted risk, after adjusting for observed confounding; (5) presentation of the results. We demonstrate our framework by evaluating heterogeneity of the effect of thiazide or thiazide-like diuretics versus angiotensin-converting enzyme inhibitors on three efficacy and nine safety outcomes across three observational databases. We provide a publicly available R software package for applying this framework to any database mapped to the Observational Medical Outcomes Partnership Common Data Model. In our demonstration, patients at low risk of acute myocardial infarction receive negligible absolute benefits for all three efficacy outcomes, though they are more pronounced in the highest risk group, especially for acute myocardial infarction. Our framework allows for the evaluation of differential treatment effects across risk strata, which offers the opportunity to consider the benefit-harm trade-off between alternative treatments.
Integration of epigenetic and genetic profiles identifies multiple sclerosis disease-critical cell types and genes
Authors: Ma Qin , Shams Hengameh , Didonna Alessandro , Baranzini Sergio E. , Cree Bruce A. C. , Hauser Stephen L. , Henry Roland G. , Oksenberg Jorge R. 
Published: March 2023

AbstractGenome-wide association studies (GWAS) successfully identified multiple sclerosis (MS) susceptibility variants. Despite this notable progress, understanding the biological context of these associations remains challenging, due in part to the complexity of linking GWAS results to causative genes and cell types. Here, we aimed to address this gap by integrating GWAS data with single-cell and bulk chromatin accessibility data and histone modification profiles from immune and nervous systems. MS-GWAS associations are significantly enriched in regulatory regions of microglia and peripheral immune cell subtypes, especially B cells and monocytes. Cell-specific polygenic risk scores were developed to examine the cumulative impact of the susceptibility genes on MS risk and clinical phenotypes, showing significant associations with risk and brain white matter volume. The findings reveal enrichment of GWAS signals in B cell and monocyte/microglial cell-types, consistent with the known pathology and presumed targets of effective MS therapeutics.
A method for searching splitting surface considering network splitting adaptation index
Authors: Han Shuangteng , Sun Xinwei , Wang Yuhong , Zheng Zongsheng , Wang Xi , Shi Peng , Shi Yunxiang , He Yao 
Published: March 2023

AbstractAs an effective control measure to ensure uninterrupted power supply to critical loads under extreme faults, network splitting is of great significance for maintaining system safety and stability. The purpose of this study is to develop a method to accurately and quickly find a reasonable splitting surface and reliably perform network splitting. To address the current problem of poor node classification when splitting, the correlation between nodes is obtained through modal analysis of the system. Node classification criteria are proposed to accurately classify different types of nodes and obtain a suitable splitting space. Based on the node correlation, a splitting adaptation index reflecting the suitability of splitting is proposed. Furthermore, a comprehensive index for the optimisation of the splitting surface is proposed by combining the minimum unbalanced power and the splitting adaptation index, and the splitting surface is quickly determined based on this index. Finally, simulation verification is carried out using the IEEE‐118 standard system, which shows that the method can accurately determine the splitting space and optimise the selection of the splitting surface.