bluuebunny/crossref_metadata_2025_split huggingface dataset:
Translating transactions: Markets as epistemic and moral spheres
Authors: Gandhi Ajay , Harriss-White Barbara , Haynes Douglas E. , Schwecke Sebastian 
Published: June 2023

AbstractIn this Modern Asian Studies book symposium, scholars of South Asia analyse the political, ethical, and epistemic aspects of market life. They build on the 2020 Cambridge volume, Rethinking Markets in Modern India: Embedded Exchange and Contested Jurisdiction, edited by Ajay Gandhi, Barbara Harriss-White, Douglas Haynes, and Sebastian Schwecke. This interdisciplinary conversation approaches transactional realms from the disciplines of history, anthropology, development studies, and political economy. The symposium’s contributors examine a range of pertinent issues that encompass customary forms of exchange and capitalist aspects of trade. Among the topics discussed are those of market fetishism, bazaar knowledge, social embeddedness, forms of transactional representation and translation, and institutional and regulatory contexts for commerce.
Cardiac magnetic resonance haemodynamics in paediatric heart transplant patients: fick oximetry versus cardiac magnetic resonance phase contrast
Authors: Schramm Jennifer , Cronin Ileen , McCarter Robert , Mandell Jason G. , Downing Tacy , Kanter Joshua , Cross Russell , Olivieri Laura 
Published: June 2023

AbstractBackground:Lifetime radiation exposure for paediatric orthotopic heart transplant (OHT) patients is significant with cardiac catheterisation as the dominant source. Interventional cardiac magnetic resonance is utilised to obtain simultaneous, radiation-free haemodynamics and flow/function measurements. We sought to compare invasive haemodynamic measurements and radiation exposure in traditional cardiac catheterisation, to comprehensive interventional cardiac magnetic resonance.Methods:Twenty-eight OHT patients who underwent 67 interventional cardiac magnetic resonance procedures at Children’s National Hospital were identified. Both invasive oximetry with peripheral oxygen saturation (Fick) and cardiac magnetic resonance phase contrast measurements of pulmonary and systemic blood flow were performed. Systemic and pulmonary blood flow from the two modalities was compared using Bland–Altman, concordance analysis, and inter-reader correlation. A mixed model was implemented to account for confounding variables and repeat encounters. Radiation dosage data were collected for a contemporaneous cohort of orthotopic heart transplant patients undergoing standard, X-ray-guided catheterisation.Results:Simultaneous cardiac magnetic resonance and Fick have poor agreement in our study based on Lin’s correlation coefficient of 0.68 and 0.73 for pulmonary and systemic blood flow, respectively. Bland–Altman analysis demonstrated a consistent over estimation of cardiac magnetic resonance cardiac output by Fick. The average indexed dose area product for patients undergoing haemodynamics with endomyocardial biopsy was 0.73 (SD ±0.6) Gy*m2/kg. With coronary angiography added, the indexed dose area product was 14.6 (SD ± 7.8) Gy*m2/kg.Conclusions:Cardiac magnetic resonancemeasurements of cardiac output/index in paediatric orthotopic heart transplant patients have poor concordance with Fick estimates; however, cardiac magnetic resonance has good internal validity and inter-reader reliability. Radiation doses are small for haemodynamics with biopsy and increase exponentially with angiography, identifying a new target for cardiac magnetic resonance imaging.
Preemergence and postemergence weed control in sweet corn on organic soils
Authors: Rodriguez Alex G. , Sandhu Hardev S. , Wright Alan L. , Odero D. Calvin 
Published: June 2023

AbstractAtrazine and S-metolachlor are the herbicides most relied on by growers to control weeds in sweet corn crops grown in the Everglades Agricultural Area (EAA) in southern Florida. Alternative weed management programs are needed. Field experiments were conducted in 2021 and 2022 to evaluate the efficacy of 1) pyroxasulfone (183 and 237 g ha−1) alone or as a premix with carfentrazone-ethyl (13 and 17 g ha−1) or fluthiacet-methyl (6 and 7 g ha−1), S-metolachlor (1,790 g ha−1) alone or in combination with atrazine (3,360 g ha−1) applied preemergence(PRE); 2) mesotrione (105 g ha−1), topramezone (25 g ha−1), and tembotrione (92 g ha−1) applied postemergence alone or in combination with atrazine (560 and 2,240 g ha−1) or bentazon (1,120 g ha−1); and 3) mechanical cultivation alone at the fourth and the fourth followed by the sixth leaf stages of sweet corn. PRE-applied herbicides did not provide acceptable control of fall panicum, common lambsquarters, or common purslane probably due to a lack of incorporation into the soil because of limited rainfall. POST-applied topramezone alone or in combination with atrazine or bentazon resulted in effective fall panicum control (>91%). Topramezone alone provided 83% and 88% control of common lambsquarters and common purslane, respectively, whereas atrazine added to topramezone resulted in >94% control of both weed species. Mesotrione and tembotrione plus atrazine provided excellent control (>93%) of both broadleaf weed species but poor fall panicum control (<72%). Mechanical cultivation alone did not effectively control any weeds. Overall, treatments that contained topramezone resulted in greater sweet corn yield. These results show that a combination of topramezone, mesotrione, and tembotrione with atrazine resulted in improved broadleaf weed control. Fall panicum control was improved only with the combination of topramezone with atrazine, showing that atrazine is an important mixture component of these herbicides to provide effective POST weed control in sweet corn on organic soils of the EAA.
Evaluating the Simulation of CONUS Precipitation by Storm Type in E3SM
Authors: Reed K. A. , Stansfield A. M. , Hsu W.‐C. , Kooperman G. J. , Akinsanola A. A. , Hannah W. M. , Pendergrass A. G. , Medeiros B. 
Published: June 2023

AbstractConventional low‐resolution (LR) climate models, including the Energy Exascale Earth System Model (E3SMv1), have well‐known biases in simulating the frequency, intensity, and timing of precipitation. Approaches to next‐generation E3SM, whether the high‐resolution (HR) or multiscale modeling framework (MMF) configuration, improve the simulation of the intensity and frequency of precipitation, but regional and seasonal deficiencies still exist. Here we apply a methodology to assess the contribution of tropical cyclones (TCs), extratropical cyclones (ETCs), and mesoscale convective systems (MCSs) to simulated precipitation in E3SMv1‐HR and E3SMv1‐MMF relative to E3SMv1‐LR. Across the United States, E3SMv1‐MMF provides the best simulation in terms of precipitation accumulation, frequency and intensity from MCSs and TCs compared to E3SMv1‐LR and E3SMv1‐HR. All E3SMv1 configurations overestimate precipitation amounts from and the frequency of ETCs over CONUS, with conventional E3SMv1‐LR providing the best simulation compared to observations despite limitations in precipitation intensity within these events.
Long‐Term Observations of Levoglucosan in Arctic Aerosols Reveal Its Biomass Burning Source and Implication on Radiative Forcing
Authors: Chen Afeng , Xie Zhouqing , Zhan Haicong , Jiang Bei , Zhang Aoxing , Liu Hongwei , Hu Chengge , Wu Xudong , Yue Fange , Xu Li 
Published: June 2023

AbstractBiomass burning (BB) has a significant influence on the Arctic environment. Here, we determined the atmospheric levels of BB‐specific tracer compounds such as levoglucosan (Lev), galactosan (Gan), and mannosan (Man) in Arctic aerosols during 2010–2018. The average concentrations of Lev during the study period ranged between 0.43 and 4.15 ng m−3. Both Lev/Man (0–30) and Man/Gan (0–3) ratios further suggested their origin from softwood/hardwood burning. The North Atlantic Oscillation (NAO) was the main driver of the Lev variability during the study period and Lev could be advected to Arctic air during the NAO was in a positive phase. Based upon the levels of Lev, black carbon (BC) generated from BB was estimated, and the corresponding radiative forcing was then calculated by Santa Barbara DISORT Atmospheric Radiative Transfer. BC has a potential warming effect in the atmosphere (+4.28 W/m2) while shows a cooling effect on the surface, which is equivalent to a large volcanic eruption (−3 W/m2). Since climate change is expected to intensify BB around the Arctic, such BC aerosols should be considered in future climate model projections.
Periodontitis as a promoting factor of T2D: current evidence and mechanisms
Authors: Su Yuan , Ye Leilei , Hu Chen , Zhang Yanli , Liu Jia , Shao Longquan 
Published: June 2023

AbstractPeriodontitis is an infectious disease caused by an imbalance between the local microbiota and host immune response. Epidemiologically, periodontitis is closely related to the occurrence, development, and poor prognosis of T2D and is recognized as a potential risk factor for T2D. In recent years, increasing attention has been given to the role of the virulence factors produced by disorders of the subgingival microbiota in the pathological mechanism of T2D, including islet β-cell dysfunction and insulin resistance (IR). However, the related mechanisms have not been well summarized. This review highlights periodontitis-derived virulence factors, reviews how these stimuli directly or indirectly regulate islet β-cell dysfunction. The mechanisms by which IR is induced in insulin-targeting tissues (the liver, visceral adipose tissue, and skeletal muscle) are explained, clarifying the influence of periodontitis on the occurrence and development of T2D. In addition, the positive effects of periodontal therapy on T2D are overviewed. Finally, the limitations and prospects of the current research are discussed. In summary, periodontitis is worthy of attention as a promoting factor of T2D. Understanding on the effect of disseminated periodontitis-derived virulence factors on the T2D-related tissues and cells may provide new treatment options for reducing the risk of T2D associated with periodontitis.
Post-traumatic stress disorder, anxiety, depression and burnout in nursing home staff in South France during the COVID-19 pandemic
Authors: Conejero Ismael , Petrier Melissa , Fabbro Peray Pascale , Voisin Christelle , Courtet Philippe , Potier Hugo , Elotmani Loubna , Lafont Brigitte , Lefrant Jean-Yves , Lopez Castroman Jorge , Arbus Christophe , Blain Hubert 
Published: June 2023

AbstractThe high mortality rate in nursing homes during the COVID-19 pandemic may be linked to psychological disorders in staff. Hence, we assessed the prevalence and associated factors of probable post-traumatic stress disorder (PTSD), anxiety, depression, and burnout of nursing home staff during the COVID-19 pandemic in a cross-sectional study including 66 randomly selected nursing homes in southern France. 537 of the contacted 3 821 nursing home workers (14.0%) responded between April and October 2021. We collected information on center organization, severity of COVID-19 exposure, and socio-demographic information in an online survey. The prevalence of probable PTSD (PCL-5), anxiety and depressive disorders (Hospital Anxiety Depression Scale) and the sub-scores of burnout syndrome (Maslach Burnout Inventory Human Services Survey for Medical Personnel) were assessed. Probable PTSD was reported in 115/537 responders (21.4% (95% CI [18.0%–24.9%])). After adjustment, low-level exposure to COVID-19 in nursing home residents (AOR, 0.5; 95% CI [0.3–0.9]), fear of managing COVID-19 residents (AOR, 3.5; 95% CI [1.9–6.4]), conflicts with residents (AOR, 2.3; 95% CI, [1.2–4.4]), conflicts with colleagues (AOR, 3.6; 95% CI [1.7–8.6]), cancellation of leave (AOR, 4.8; 95% CI [2.0–11.7]) and temporary worker employment (AOR, 3.4; 95% CI [1.7–6.9]) were associated with higher prevalence of probable PTSD. The prevalence of probable anxiety and depression were 28.8% (95% CI [24.9%–32.7%]) and 10.4% (95% CI [7.8%–13.1%]), respectively. Psychological disorders were observed in nearly one third of nursing home workers during the COVID-19 pandemic. Hence, continuous surveys and preventive measures are needed in this particularly at-risk population.
Pharmacological memory modulation to augment trauma-focused psychotherapy for PTSD: a systematic review of randomised controlled trials
Authors: Meister Laura , Dietrich Ana Catarina , Stefanovic Mina , Bavato Francesco , Rosi-Andersen Alex , Rohde Judith , Offenhammer Benjamin , Seifritz Erich , Schäfer Ingo , Ehring Thomas , Barth Jürgen , Kleim Birgit 
Published: June 2023

AbstractTrauma-focused psychotherapy (tf-PT) is the first-line treatment for posttraumatic stress disorder (PTSD). Tf-PT focuses on processing and modulating trauma memories. Not all patients benefit, however, and there is room for improvement of efficacy. Pharmacologically augmenting trauma memory modulation in the context of tf-PT may help optimise treatment outcome. To systematically review effects of pharmacologically augmented memory modulation in the context of tf-PT for PTSD (PROSPERO preregistration ID: CRD42021230623). We conducted a systematic review of randomised controlled trials of psychotherapy treatment for PTSD. We included placebo-controlled studies that augmented at least one treatment session pharmacologically targeting memory extinction or reconsolidation. We calculated post-treatment between group (pharmacological augmentation vs placebo control) effect sizes of PTSD symptom severity. We included 13 RCTs. There was large heterogeneity in augmentation procedure and methodological quality. Four studies showed significantly greater PTSD symptom reduction in the pharmacological augmentation group (propranolol, hydrocortisone, dexamethasone, D-cycloserine) compared to placebo. Seven studies showed no significant effect of pharmacological augmentation compared to placebo (D-cycloserine, rapamycin, mifepristone, propranolol, mifepristone combined with D-cycloserine, methylene blue). Two studies showed significantly smaller PTSD symptom reduction in the pharmacological augmentation group (D-cycloserine, dexamethasone) compared to placebo. Results of pharmacological augmentation were mixed overall and heterogenous for the pharmacological agents tested in more than one study. Additional studies and replications are needed to identify which pharmacological agents work, in which combination and to identify patient groups that benefit most to tailor PTSD treatment.
A convolutional neural network STIFMap reveals associations between stromal stiffness and EMT in breast cancer
Authors: Stashko Connor , Hayward Mary-Kate , Northey Jason J. , Pearson Neil , Ironside Alastair J. , Lakins Johnathon N. , Oria Roger , Goyette Marie-Anne , Mayo Lakyn , Russnes Hege G. , Hwang E. Shelley , Kutys Matthew L. , Polyak Kornelia , Weaver Valerie M. 
Published: June 2023

AbstractIntratumor heterogeneity associates with poor patient outcome. Stromal stiffening also accompanies cancer. Whether cancers demonstrate stiffness heterogeneity, and if this is linked to tumor cell heterogeneity remains unclear. We developed a method to measure the stiffness heterogeneity in human breast tumors that quantifies the stromal stiffness each cell experiences and permits visual registration with biomarkers of tumor progression. We present Spatially Transformed Inferential Force Map (STIFMap) which exploits computer vision to precisely automate atomic force microscopy (AFM) indentation combined with a trained convolutional neural network to predict stromal elasticity with micron-resolution using collagen morphological features and ground truth AFM data. We registered high-elasticity regions within human breast tumors colocalizing with markers of mechanical activation and an epithelial-to-mesenchymal transition (EMT). The findings highlight the utility of STIFMap to assess mechanical heterogeneity of human tumors across length scales from single cells to whole tissues and implicates stromal stiffness in tumor cell heterogeneity.
Resolving nanostructure and chemistry of solid-electrolyte interphase on lithium anodes by depth-sensitive plasmon-enhanced Raman spectroscopy
Authors: Gu Yu , You En-Ming , Lin Jian-De , Wang Jun-Hao , Luo Si-Heng , Zhou Ru-Yu , Zhang Chen-Jie , Yao Jian-Lin , Li Hui-Yang , Li Gen , Wang Wei-Wei , Qiao Yu , Yan Jia-Wei , Wu De-Yin , Liu Guo-Kun , Zhang Li , Li Jian-Feng , Xu Rong , Tian Zhong-Qun , Cui Yi , Mao Bing-Wei 
Published: June 2023

AbstractThe solid-electrolyte interphase (SEI) plays crucial roles for the reversible operation of lithium metal batteries. However, fundamental understanding of the mechanisms of SEI formation and evolution is still limited. Herein, we develop a depth-sensitive plasmon-enhanced Raman spectroscopy (DS-PERS) method to enable in-situ and nondestructive characterization of the nanostructure and chemistry of SEI, based on synergistic enhancements of localized surface plasmons from nanostructured Cu, shell-isolated Au nanoparticles and Li deposits at different depths. We monitor the sequential formation of SEI in both ether-based and carbonate-based dual-salt electrolytes on a Cu current collector and then on freshly deposited Li, with dramatic chemical reconstruction. The molecular-level insights from the DS-PERS study unravel the profound influences of Li in modifying SEI formation and in turn the roles of SEI in regulating the Li-ion desolvation and the subsequent Li deposition at SEI-coupled interfaces. Last, we develop a cycling protocol that promotes a favorable direct SEI formation route, which significantly enhances the performance of anode-free Li metal batteries.
Efficient interatomic descriptors for accurate machine learning force fields of extended molecules
Authors: Kabylda Adil , Vassilev-Galindo Valentin , Chmiela Stefan , Poltavsky Igor , Tkatchenko Alexandre 
Published: June 2023

AbstractMachine learning force fields (MLFFs) are gradually evolving towards enabling molecular dynamics simulations of molecules and materials with ab initio accuracy but at a small fraction of the computational cost. However, several challenges remain to be addressed to enable predictive MLFF simulations of realistic molecules, including: (1) developing efficient descriptors for non-local interatomic interactions, which are essential to capture long-range molecular fluctuations, and (2) reducing the dimensionality of the descriptors to enhance the applicability and interpretability of MLFFs. Here we propose an automatized approach to substantially reduce the number of interatomic descriptor features while preserving the accuracy and increasing the efficiency of MLFFs. To simultaneously address the two stated challenges, we illustrate our approach on the example of the global GDML MLFF. We found that non-local features (atoms separated by as far as 15 Å in studied systems) are crucial to retain the overall accuracy of the MLFF for peptides, DNA base pairs, fatty acids, and supramolecular complexes. Interestingly, the number of required non-local features in the reduced descriptors becomes comparable to the number of local interatomic features (those below 5 Å). These results pave the way to constructing global molecular MLFFs whose cost increases linearly, instead of quadratically, with system size.
Phylodynamic of SARS-CoV-2 during the second wave of COVID-19 in Peru
Authors: Justo Arevalo Santiago , Uribe Calampa Carmen Sofia , Jimenez Silva Cinthy , Quiñones Aguilar Mauro , Bouckaert Remco , Rebello Pinho Joao Renato 
Published: June 2023

AbstractAt over 0.6% of the population, Peru has one of the highest SARS-CoV-2 mortality rate in the world. Much effort to sequence genomes has been done in this country since mid-2020. However, an adequate analysis of the dynamics of the variants of concern and interest (VOCIs) is missing. We investigated the dynamics of the COVID-19 pandemic in Peru with a focus on the second wave, which had the greatest case fatality rate. The second wave in Peru was dominated by Lambda and Gamma. Analysis of the origin of Lambda shows that it most likely emerged in Peru before the second wave (June–November, 2020). After its emergence it reached Argentina and Chile from Peru where it was locally transmitted. During the second wave in Peru, we identify the coexistence of two Lambda and three Gamma sublineages. Lambda sublineages emerged in the center of Peru whereas the Gamma sublineages more likely originated in the north-east and mid-east. Importantly, it is observed that the center of Peru played a prominent role in transmitting SARS-CoV-2 to other regions within Peru.
Discovery and characterization of potent pan-variant SARS-CoV-2 neutralizing antibodies from individuals with Omicron breakthrough infection
Authors: Guo Yu , Zhang Guangshun , Yang Qi , Xie Xiaowei , Lu Yang , Cheng Xuelian , Wang Hui , Liang Jingxi , Tang Jielin , Gao Yuxin , Shang Hang , Dai Jun , Shi Yongxia , Zhou Jiaxi , Zhou Jun , Guo Hangtian , Yang Haitao , Qi Jianwei , Liu Lijun , Ma Shihui , Zhang Biao , Huo Qianyu , Xie Yi , Wu Junping , Dong Fang , Zhang Song , Lou Zhiyong , Gao Yan , Song Zidan , Wang Wenming , Sun Zixian , Yang Xiaoming , Xiong Dongsheng , Liu Fengjiang , Chen Xinwen , Zhu Ping , Wang Ximo , Cheng Tao , Rao Zihe 
Published: June 2023

AbstractThe SARS-CoV-2 Omicron variant evades most currently approved neutralizing antibodies (nAbs) and caused drastic decrease of plasma neutralizing activity elicited by vaccination or prior infection, urging the need for the development of pan-variant antivirals. Breakthrough infection induces a hybrid immunological response with potentially broad, potent and durable protection against variants, therefore, convalescent plasma from breakthrough infection may provide a broadened repertoire for identifying elite nAbs. We performed single-cell RNA sequencing (scRNA-seq) and BCR sequencing (scBCR-seq) of B cells from BA.1 breakthrough-infected patients who received 2 or 3 previous doses of inactivated vaccine. Elite nAbs, mainly derived from the IGHV2–5 and IGHV3-66/53 germlines, showed potent neutralizing activity across Wuhan-Hu-1, Delta, Omicron sublineages BA.1 and BA.2 at picomolar NT50 values. Cryo-EM analysis revealed diverse modes of spike recognition and guides the design of cocktail therapy. A single injection of paired antibodies cocktail provided potent protection in the K18-hACE2 transgenic female mouse model of SARS-CoV-2 infection.
PPP2R1A regulates migration persistence through the NHSL1-containing WAVE Shell Complex
Authors: Wang Yanan , Chiappetta Giovanni , Guérois Raphaël , Liu Yijun , Romero Stéphane , Boesch Daniel J. , Krause Matthias , Dessalles Claire A. , Babataheri Avin , Barakat Abdul I. , Chen Baoyu , Vinh Joelle , Polesskaya Anna , Gautreau Alexis M. 
Published: June 2023

AbstractThe RAC1-WAVE-Arp2/3 signaling pathway generates branched actin networks that power lamellipodium protrusion of migrating cells. Feedback is thought to control protrusion lifetime and migration persistence, but its molecular circuitry remains elusive. Here, we identify PPP2R1A by proteomics as a protein differentially associated with the WAVE complex subunit ABI1 when RAC1 is activated and downstream generation of branched actin is blocked. PPP2R1A is found to associate at the lamellipodial edge with an alternative form of WAVE complex, the WAVE Shell Complex, that contains NHSL1 instead of the Arp2/3 activating subunit WAVE, as in the canonical WAVE Regulatory Complex. PPP2R1A is required for persistence in random and directed migration assays and for RAC1-dependent actin polymerization in cell extracts. PPP2R1A requirement is abolished by NHSL1 depletion. PPP2R1A mutations found in tumors impair WAVE Shell Complex binding and migration regulation, suggesting that the coupling of PPP2R1A to the WAVE Shell Complex is essential to its function.