bluuebunny/crossref_metadata_2025_split huggingface dataset:
Advances in Geochemical Sourcing of Granite Ground Stone
Authors: Brouwer Burg Marieka , Tibbits Tawny L. B. , Harrison-Buck Eleanor 
Published: October 2021

AbstractOften understudied by archaeologists, ground stone tools (GST) were ubiquitous in the ancient Maya world. Their applications ranged from household tools to ceremonial equipment and beyond. Little attention has been focused on chemically sourcing the raw stone material used in GST production, largely because these tools were fashioned out of igneous or sedimentary rock, which can present characterization challenges. And, although portable X-ray fluorescence (pXRF) has been applied widely to source obsidian, the utility of pXRF for geochemically sourcing other kinds of stone remains underexplored. We present a small-scale application of pXRF for determining granite provenance within a section of the Middle Belize Valley in Belize, Central America. Belize is an ideal location to test chemical sourcing studies of granite because there are only three tightly restricted and chemically distinct sources of granite in the country, from which the overwhelming majority of granite for ancient tool production derived. The method described here demonstrates that successful and accurate geological characterizations can be made on granite GST. This cutting-edge sourcing technique has the potential to be more widely applied in other regions to reveal deeper connections between the sources of GST production and sites of consumption across space and through time.
Inadvertent escalation in the age of intelligence machines: A new model for nuclear risk in the digital age
Authors: Johnson James 
Published: October 2021

AbstractWill AI-enabled capabilities increase inadvertent escalation risk? This article revisits Cold War-era thinking about inadvertent escalation to consider how Artificial Intelligence (AI) technology (especially AI augmentation of advanced conventional weapons) through various mechanisms and pathways could affect inadvertent escalation risk between nuclear-armed adversaries during a conventional crisis or conflict. How might AI be incorporated into nuclear and conventional operations in ways that affect escalation risk? It unpacks the psychological and cognitive features of escalation theorising (the security dilemma, the ‘fog of war’, and military doctrine and strategy) to examine whether and how the characteristics of AI technology, against the backdrop of a broader political-societal dynamic of the digital information ecosystem, might increase inadvertent escalation risk. Are existing notions of inadvertent escalation still relevant in the digital age? The article speaks to the broader scholarship in International Relations – notably ‘bargaining theories of war’ – that argues that the impact of technology on the cause of war occurs through its political effects, rather than tactical or operational battlefield alterations. In this way, it addresses a gap in the literature about the strategic and theoretical implications of the AI-nuclear dilemma.
How Populist are Parties? Measuring Degrees of Populism in Party Manifestos Using Supervised Machine Learning
Authors: Di Cocco Jessica , Monechi Bernardo 
Published: October 2021

AbstractOne of the main challenges in comparative studies on populism concerns its temporal and spatial measurements within and between a large number of parties and countries. Textual analysis has proved useful for these purposes, and automated methods can further improve research in this direction. Here, we propose a method to derive a score of parties’ levels of populism using supervised machine learning to perform textual analysis on national manifestos. We illustrate the advantages of our approach, which allows for measuring populism for a vast number of parties and countries without resource-intensive human-coding processes and provides accurate, updated information for temporal and spatial comparisons of populism. Furthermore, our method allows for obtaining a continuous score of populism, which ensures more fine-grained analyses of the party landscape while reducing the risk of arbitrary classifications. To illustrate the potential contribution of this score, we use it as a proxy for parties’ levels of populism, analyzing average trends in six European countries from the early 2000s for nearly two decades.
Firms versus corporations: a rebuttal of Simon Deakin, David Gindis, and Geoffrey M. Hodgson
Authors: Robé Jean-Philippe 
Published: October 2021

AbstractI share the view expressed by Simon Deakin, David Gindis, and Geoffrey Hodgson (‘DGH’) that social scientists need to consider the constitutive role of law in their disciplines. This is particularly the case for economists working on the theory of the firm and on institutions more generally. Their analyses are often built on assumptions about the legal system which do not correspond to reality. One major issue is the generalized confusion between the concepts of ‘corporation’ and ‘firm’. In day-to-day parlance, the two words are synonyms. But, when the constitutive role of law is considered, the word corporation corresponds to a specific legal device which should be clearly differentiated from a less-specific concept which can be called a ‘firm’ or an ‘enterprise’. The notion of firm usually corresponds to the economic organization of various resources via contracts to produce goods or services. The corporation is a legal institution with peculiar characteristics, including a potentially eternal legal personality, an asset partitioning effect, and several layers of separations of ownership and control. Corporations are often used to legally structure large firms because they are very efficient legal devices to concentrate capital. But, firms are practically and conceptually different from the corporation(s) used to structure them. DGH consider that the understanding of what a firm is should not go against general, day-to-day understanding. In their view, although not all firms are corporations, all corporations are firms. I disagree. Only by clearly explaining that corporations are not firms can lawyers help social scientists consider the constitutive role of the law of corporations in the structuring of our present-day economy.
Cardiovascular and metabolic risk of antipsychotics in children and young adults: a multinational self-controlled case series study
Authors: Man Kenneth K. C. , Shao Shih-Chieh , Chang Yu-Chuan , Chi Mei-Hung , Jeong Han Eol , Lin Swu-Jane , Su Chien-Chou , Shin Ju-Young , Wong Kirstie H. , Wong Ian C. K. , Kao Yang Yea-Huei , Yang Yen-Kuang , Lai Edward Chia-Cheng 
Published: October 2021

Abstract

Aims
The risk of antipsychotic-associated cardiovascular and metabolic events may differ among countries, and limited real-world evidence has been available comparing the corresponding risks among children and young adults. We, therefore, evaluated the risks of cardiovascular and metabolic events in children and young adults receiving antipsychotics.

Methods
We conducted a multinational self-controlled case series (SCCS) study and included patients aged 6–30 years old who had both exposure to antipsychotics and study outcomes from four nationwide databases of Taiwan (2004–2012), Korea (2010–2016), Hong Kong (2001–2014) and the UK (1997–2016) that covers a total of approximately 100 million individuals. We investigated three antipsychotics exposure windows (i.e., 90 days pre-exposure, 1–30 days, 30–90 days and 90 + days of exposure). The outcomes were cardiovascular events (stroke, ischaemic heart disease and acute myocardial infarction), or metabolic events (hypertension, type 2 diabetes mellitus and dyslipidaemia).

Results
We included a total of 48 515 individuals in the SCCS analysis. We found an increased risk of metabolic events only in the risk window with more than 90-day exposure, with a pooled IRR of 1.29 (95% CI 1.20–1.38). The pooled IRR was 0.98 (0.90–1.06) for 1–30 days and 0.88 (0.76–1.02) for 31–90 days. We found no association in any exposure window for cardiovascular events. The pooled IRR was 1.86 (0.74–4.64) for 1–30 days, 1.35 (0.74–2.47) for 31–90 days and 1.29 (0.98–1.70) for 90 + days.

Conclusions
Long-term exposure to antipsychotics was associated with an increased risk of metabolic events but did not trigger cardiovascular events in children and young adults.
Evaluation of the Local Sea‐Level Budget at Tide Gauges Since 1958
Authors: Wang Jinping , Church John A. , Zhang Xuebin , Gregory Jonathan M. , Zanna Laure , Chen Xianyao 
Published: October 2021

AbstractAlthough global mean sea‐level rise since 1900 and regional mean sea‐level change since the 1960s have been accounted for in terms of the sum of contributions, the same budget closure has not been achieved for local relative sea‐level change from a global network of tide gauges. To address this, we combine new estimates of sterodynamic sea‐level change (SDSL; including ocean dynamics), glacial isostatic adjustment (GIA), change in land ice mass and terrestrial water storage, and other local vertical land motion. We find that the observed trends over 1958–2015 at all 272 tide gauges distributed worldwide agree with the sum of contributions (within 90% confidence estimates), with similar mean trend (1.1 mm yr−1) and comparable spatial variability (standard deviation of 2.0 and 1.9 mm yr−1respectively). SDSL is the dominant contribution to both local observed mean trend and spatial variability, except at locations close to former ice‐sheets, where GIA dominates.
Interannual SAM Modulation of Antarctic Sea Ice Extent Does Not Account for Its Long‐Term Trends, Pointing to a Limited Role for Ozone Depletion
Authors: Polvani L. M. , Banerjee A. , Chemke R. , Doddridge E. W. , Ferreira D. , Gnanadesikan A. , Holland M. A. , Kostov Y. , Marshall J. , Seviour W. J. M. , Solomon S. , Waugh D. W. 
Published: October 2021

AbstractThe expansion of Antarctic sea ice since 1979 in the presence of increasing greenhouse gases remains one of the most puzzling features of current climate change. Some studies have proposed that the formation of the ozone hole, via the Southern Annular Mode, might explain that expansion, and a recent paper highlighted a robust causal link between summertime Southern Annular Mode (SAM) anomalies and sea ice anomalies in the subsequent autumn. Here we show that many models are able to capture this relationship between the SAM and sea ice, but also emphasize that the SAM only explains a small fraction of the year‐to‐year variability. Finally, examining multidecadal trends, in models and in observations, we confirm the findings of several previous studies and conclude that the SAM–and thus the ozone hole–are not the primary drivers of the sea ice expansion around Antarctica in recent decades.
The Role of Sediment Accretion and Buoyancy on Subduction Dynamics and Geometry
Authors: Brizzi S. , Becker T. W. , Faccenna C. , Behr W. , van Zelst I. , Dal Zilio L. , van Dinther Y. 
Published: October 2021

AbstractSubducted sediments are thought to lubricate the subduction interface and promote faster plate speeds. However, global observations are not clear‐cut on the relationship between the amount of sediments and plate motion. Sediments are also thought to influence slab dip, but variations in subduction geometry depend on multiple factors. Here we use 2D thermomechanical models to explore how sediments can influence subduction dynamics and geometry. We find that thick sediments can lead to slower subduction due to an increase of the megathrust shear stress as the accretionary wedge gets wider, and a decrease in slab pull as buoyant sediments are subducted. Our results also show that larger slab buoyancy and megathrust stress due to thick sediments increase the slab bending radius. This offers a new perspective on the role of sediments, suggesting that sediment buoyancy and wedge geometry also play an important role on large‐scale subduction dynamics.
Atmospheric Wind Biases: A Challenge for Simulating the Arctic Ocean in Coupled Models?
Authors: Hinrichs C. , Wang Q. , Koldunov N. , Mu L. , Semmler T. , Sidorenko D. , Jung T. 
Published: October 2021

AbstractMany state‐of‐the‐art climate models do not simulate the Atlantic Water (AW) layer in the Arctic Ocean realistically enough to address the question of future Arctic Atlantification and its associated feedback. Biases concerning the AW layer are commonly related to insufficient resolution and excessive mixing in the ocean component as well as unrealistic Atlantic‐Arctic Ocean exchange. Based on sensitivity experiments with FESOM1.4, the ocean–sea‐ice component of the global climate model AWI‐CM1, we show that even if all impediments for simulating AW realistically are addressed in the ocean model, new biases in the AW layer develop after coupling to an atmosphere model. By replacing the wind forcing over the Arctic with winds from a coupled simulation we show that a common bias in the atmospheric sea level pressure (SLP) gradient and its associated wind bias lead to differences in surface stress and Ekman transport. Fresh surface water gets redistributed leading to changes in halosteric height distribution. Those changes lead to strengthening of the anticyclonic surface circulation in the Canadian Basin, so that the deep counterflow carrying warm AW gets reversed and a warm bias in the Canadian Basin develops. The SLP and anticyclonic wind bias in the Nordic Seas weaken the cyclonic circulation leading to reduced AW transport into the Arctic Ocean through Fram Strait but increased AW transport through the Barents Sea Opening. These effects together lead to a cold bias in the Eurasian Basin. An underestimation of sea ice concentration can significantly amplify the induced ocean biases.
The January 2021 Sudden Stratospheric Warming and Its Prediction in Subseasonal to Seasonal Models
Authors: Rao Jian , Garfinkel Chaim I. , Wu Tongwen , Lu Yixiong , Lu Qian , Liang Zhuoqi 
Published: October 2021

AbstractUsing reanalysis, observations, and subseasonal to seasonal (S2S) forecasts, the most recent sudden stratospheric warming (SSW) in January 2021 and its predictability are explored. Previous work has shown that SSWs can be forecasted at relatively long lead time if favorable conditions are present. However, favorable conditions were not present for this most recent SSW, which occurred under the tropical westerly quasi‐biennial oscillation (QBO) and weak convection over tropical Pacific. In mid‐December 2020 and early January 2021, the Ural ridge and East Asian trough were anomalously strong, corresponding to enhanced climatological wavenumber 2. In late December 2020 and mid‐January 2021, negative (positive) height anomalies over the North Pacific (Atlantic) enhanced the climatological wavenumber 1. Alternate wave pulses by the wavenumber 1 and 2 finally led to the SSW onset and the long lifetime of the January 2021 SSW. As the composite for QBO westerlies displays a strengthened stratospheric polar vortex, the weak vortex in January 2020 was not attributed to this tropical forcing. Therefore, the predictability for the occurrence of the January 2021 SSW is not beyond two weeks with the required hit ratio >50%. Splitting of the vortex adds further difficulty to the prediction of this event. The cold anomalies over North Eurasia initiated one to two weeks before the SSW onset were likely due to the SSW precursors, which then persisted until mid‐January 2021 as the SSW signal began to propagate downward. However, the persistent cold anomalies can only be forecasted in SSW‐hit members and SSW‐hit S2S models. The observed Arctic sea ice loss is unlikely to extend the predictability of this event in S2S models.
Controlled growth of a single carbon nanotube on an AFM probe
Authors: Cheng Biyao , Yang Shuming , Li Wei , Li Shi , Shafique Shareen , Wu Dong , Ji Shengyun , Sun Yu , Jiang Zhuangde 
Published: October 2021

AbstractCarbon nanotubes (CNTs) can be used as atomic force microscopy (AFM) tips for high-resolution scanning due to their small diameter, high aspect ratio and outstanding wear resistance. However, previous approaches for fabricating CNT probes are complex and poorly controlled. In this paper, we introduce a simple method to selectively fabricate a single CNT on an AFM tip by controlling the trigger threshold to adjust the amount of growth solution attached to the tip. The yield rate is over 93%. The resulting CNT probes are suitable in length, without the need for a subsequent cutting process. We used the CNT probe to scan the complex nanostructure with a high aspect ratio, thereby solving the long-lasting problem of mapping complex nanostructures.
Toripalimab plus chemotherapy as second-line treatment in previously EGFR-TKI treated patients with EGFR-mutant-advanced NSCLC: a multicenter phase-II trial
Authors: Jiang Tao , Wang Pingyang , Zhang Jie , Zhao Yanqiu , Zhou Jianying , Fan Yun , Shu Yongqian , Liu Xiaoqing , Zhang Helong , He Jianxing , Gao Guanghui , Mu Xiaoqian , Bao Zhang , Xu Yanjun , Guo Renhua , Wang Hong , Deng Lin , Ma Ningqiang , Zhang Yalei , Feng Hui , Yao Sheng , Wu Jiarui , Chen Luonan , Zhou Caicun , Ren Shengxiang 
Published: October 2021

AbstractThis multicenter phase-II trial aimed to investigate the efficacy, safety, and predictive biomarkers of toripalimab plus chemotherapy as second-line treatment in patients with EGFR-mutant-advanced NSCLC. Patients who failed from first-line EGFR-TKIs and did not harbor T790M mutation were enrolled. Toripalimab plus carboplatin and pemetrexed were administrated every three weeks for up to six cycles, followed by the maintenance of toripalimab and pemetrexed. The primary endpoint was objective-response rate (ORR). Integrated biomarker analysis of PD-L1 expression, tumor mutational burden (TMB), CD8 + tumor-infiltrating lymphocyte (TIL) density, whole-exome, and transcriptome sequencing on tumor biopsies were also conducted. Forty patients were enrolled with an overall ORR of 50.0% and disease-control rate (DCR) of 87.5%. The median progression free survival (PFS) and overall survival were 7.0 and 23.5 months, respectively. The most common treatment-related adverse effects were leukopenia, neutropenia, anemia, ALT/AST elevation, and nausea. Biomarker analysis showed that none of PD-L1 expression, TMB level, and CD8 + TIL density could serve as a predictive biomarker. Integrated analysis of whole-exome and transcriptome sequencing data revealed that patients with DSPP mutation had a decreased M2 macrophage infiltration and associated with longer PFS than those of wild type. Toripalimab plus chemotherapy showed a promising anti-tumor activity with acceptable safety profiles as the second-line setting in patients with EGFR-mutant NSCLC. DSPP mutation might serve as a potential biomarker for this combination. A phase-III trial to compare toripalimab versus placebo in combination with chemotherapy in this setting is ongoing (NCT03924050).
Single-cell RNA sequencing for the identification of early-stage lung cancer biomarkers from circulating blood
Authors: Kim Jinhong , Xu Zhaolin , Marignani Paola A. 
Published: October 2021

AbstractLung cancer accounts for more than half of the new cancers diagnosed world-wide with poor survival rates. Despite the development of chemical, radiological, and immunotherapies, many patients do not benefit from these therapies, as recurrence is common. We performed single-cell RNA-sequencing (scRNA-seq) analysis using Fluidigm C1 systems to characterize human lung cancer transcriptomes at single-cell resolution. Validation of scRNA-seq differentially expressed genes (DEGs) through quantitative real time-polymerase chain reaction (qRT-PCR) found a positive correlation in fold-change values between C-X-C motif chemokine ligand 1 (CXCL1) and 2 (CXCL2) compared with bulk-cell level in 34 primary lung adenocarcinomas (LUADs) from Stage I patients. Furthermore, we discovered an inverse correlation between chemokine mRNAs, miR-532-5p, and miR-1266-3p in early-stage primary LUADs. Specially, miR-532-5p was quantifiable in plasma from the corresponding LUADs. Collectively, we identified markers of early-stage lung cancer that were validated in primary lung tumors and circulating blood.
Neutralizing antibody activity in convalescent sera from infection in humans with SARS-CoV-2 and variants of concern
Authors: Dupont Liane , Snell Luke B. , Graham Carl , Seow Jeffrey , Merrick Blair , Lechmere Thomas , Maguire Thomas J. A. , Hallett Sadie R. , Pickering Suzanne , Charalampous Themoula , Alcolea-Medina Adela , Huettner Isabella , Jimenez-Guardeño Jose M. , Acors Sam , Almeida Nathalia , Cox Daniel , Dickenson Ruth E. , Galao Rui Pedro , Kouphou Neophytos , Lista Marie Jose , Ortega-Prieto Ana Maria , Wilson Harry , Winstone Helena , Fairhead Cassandra , Su Jia Zhe , Nebbia Gaia , Batra Rahul , Neil Stuart , Shankar-Hari Manu , Edgeworth Jonathan D. , Malim Michael H. , Doores Katie J. 
Published: October 2021

AbstractCOVID-19 vaccine design and vaccination rollout need to take into account a detailed understanding of antibody durability and cross-neutralizing potential against SARS-CoV-2 and emerging variants of concern (VOCs). Analyses of convalescent sera provide unique insights into antibody longevity and cross-neutralizing activity induced by variant spike proteins, which are putative vaccine candidates. Using sera from 38 individuals infected in wave 1, we show that cross-neutralizing activity can be detected up to 305 days pos onset of symptoms, although sera were less potent against B.1.1.7 (Alpha) and B1.351 (Beta). Over time, despite a reduction in overall neutralization activity, differences in sera neutralization potency against SARS-CoV-2 and the Alpha and Beta variants decreased, which suggests that continued antibody maturation improves tolerance to spike mutations. We also compared the cross-neutralizing activity of wave 1 sera with sera from individuals infected with the Alpha, the Beta or the B.1.617.2 (Delta) variants up to 79 days post onset of symptoms. While these sera neutralize the infecting VOC and parental virus to similar levels, cross-neutralization of different SARS-CoV-2 VOC lineages is reduced. These findings will inform the optimization of vaccines to protect against SARS-CoV-2 variants.
Systematic phenotyping and characterization of the 5xFAD mouse model of Alzheimer’s disease
Authors: Forner Stefania , Kawauchi Shimako , Balderrama-Gutierrez Gabriela , Kramár Enikö A. , Matheos Dina P. , Phan Jimmy , Javonillo Dominic I. , Tran Kristine M. , Hingco Edna , da Cunha Celia , Rezaie Narges , Alcantara Joshua A. , Baglietto-Vargas David , Jansen Camden , Neumann Jonathan , Wood Marcelo A. , MacGregor Grant R. , Mortazavi Ali , Tenner Andrea J. , LaFerla Frank M. , Green Kim N. 
Published: October 2021

AbstractMouse models of human diseases are invaluable tools for studying pathogenic mechanisms and testing interventions and therapeutics. For disorders such as Alzheimer’s disease in which numerous models are being generated, a challenging first step is to identify the most appropriate model and age to effectively evaluate new therapeutic approaches. Here we conducted a detailed phenotypic characterization of the 5xFAD model on a congenic C57BL/6 J strain background, across its lifespan – including a seldomly analyzed 18-month old time point to provide temporally correlated phenotyping of this model and a template for characterization of new models of LOAD as they are generated. This comprehensive analysis included quantification of plaque burden, Aβ biochemical levels, and neuropathology, neurophysiological measurements and behavioral and cognitive assessments, and evaluation of microglia, astrocytes, and neurons. Analysis of transcriptional changes was conducted using bulk-tissue generated RNA-seq data from microdissected cortices and hippocampi as a function of aging, which can be explored at the MODEL-AD Explorer and AD Knowledge Portal. This deep-phenotyping pipeline identified novel aspects of age-related pathology in the 5xFAD model.