bluuebunny/crossref_metadata_2025_split huggingface dataset:
Building back better in Latin America: examining the sustainability of COVID-19 recovery and development programs
Authors: O'Ryan Raúl , Villavicencio Andrea , Gajardo Joaquín , Ulloa Andrés , Ibarra Cecilia , Rojas Maisa 
Published: April 2023

Non-technical summaryThe significant outlays by countries in the Global South to recover from the COVID-19 crisis could have been an opportunity to build back better, advancing both a green recovery and addressing pressing social problems, thus advancing sustainability. To examine if this was the case, in this paper we analyze the expected impacts of recovery initiatives in five Latin American countries. Our results show that these programs do not support the possibility of building back better, weakly impacting 12 dimensions related to sustainability. We also propose a methodology to improve how sustainability concerns can be included in future choice of projects.Technical summaryIt has been argued that the significant outlays by governments across the world required to recover from the COVID-19 crisis can be an opportunity to build back better, that is, advance toward greener societies. In the Global South, which suffered acute social, economic and environmental problems prior to this health crisis, recovery initiatives would be best suited to focus on sustainable economic recovery which – along with the environmental concerns of a green recovery – could address pressing local problems. To this end, we analyzed the expected impacts of recovery initiatives in five Latin American countries on each of 71 sustainability criteria. These criteria are based on the UN sustainable development goals and other relevant literature related to sustainable development. Using principal component analysis, criteria are grouped into 12 dimensions. Our results show that recovery programs examined do not take advantage of the possibility of building back better, and many relevant dimensions related to a sustainable recovery are only weakly considered. Our methodology provides a step forward toward supporting governments in their efforts to identify better policies and investment projects and consequently put together packages of initiatives that advance on sustainability, green recovery or other long-term goals they may have.Social media summaryMethodology to analyze COVID-19 recovery packages shows small impact on sustainability in five Latin American countries.
Nature of the Paleo‐Pacific Subduction Along the East Asian Continental Margin in the Mesozoic: Insights From the Sedimentary Record of West Sarawak, Borneo
Authors: Zhou Yang , Carter Andrew , Wu Jonny , Yao Yongjian , Zhu Rongwei , Liu Hailing , Liu Wei , Zhao Qi , Zhu Zuofei , Yan Yi , Liu Qingsong 
Published: April 2023

AbstractThe Mesozoic subduction history of the Paleo‐Pacific plate below the East Asian margin remains contentious, in part because the southern part is poorly understood. To address this, we conducted a sediment provenance study to constrain Mesozoic subduction history below West Sarawak, Borneo. A combination of detrital zircon U‐Pb geochronology, heavy minerals, trace element, and bulk rock Nd isotope data were used to identify the tectonic events. The overall maturity of mineral assemblages, dominantly felsic sources, abundant Precambrian‐aged zircons, and low εNd(0) values (average −13.07) seen in Late Triassic sedimentary rocks suggest a period of inactive subduction near Borneo. Slab shallowing subduction occurred between 200 and 170 Ma based on subdued magmatism and tectonic compression across West Sarawak. From c. 170 to 70 Ma there was widespread magmatism and we interpret the Paleo‐Pacific slab steepened. Collectively, we show the Paleo‐Pacific plate subduction had variable slab dip histories in Borneo.
NAIRAS Model Run‐On‐Request Service at CCMC
Authors: Mertens C. J. , Gronoff G. P. , Zheng Y. , Petrenko M. , Buhler J. , Phoenix D. , Willis E. , Jun I. , Minow J. 
Published: April 2023

AbstractThe Nowcast of Aerospace Ionizing RAdiation System (NAIRAS) version 3 model is available to the community through the Community Coordinated Modeling Center run‐on‐request (RoR) service. The RoR capability allows the user to run the NAIRAS model for customized applications and time‐periods using two run options. The global dosimetric run option mirrors the execution of the real‐time NAIRAS run mode. This class of run option capability provides global context and situational awareness of the atmospheric ionizing radiation environment. The flight trajectory run option allows the user to upload an aircraft, balloon, or spaceflight trajectory file. This class of run option allows detailed human radiation flight exposure characterization, detailed comparisons to onboard dosimeters, and the assessment of single event effects (SEE) in aircraft and spacecraft electronic systems. The model output includes dosimetric quantities, differential and integral flux, and fluence quantities. The flux and fluence quantities are a new feature in version 3 for the assessment of SEE. The trajectory run option and the extension of the model domain to the space environment is also a new feature in version 3.
Effect of pulse-current-based protocols on the lithium dendrite formation and evolution in all-solid-state batteries
Authors: Reisecker V. , Flatscher F. , Porz L. , Fincher C. , Todt J. , Hanghofer I. , Hennige V. , Linares-Moreau M. , Falcaro P. , Ganschow S. , Wenner S. , Chiang Y.-M. , Keckes J. , Fleig J. , Rettenwander D. 
Published: April 2023

AbstractUnderstanding the cause of lithium dendrites formation and propagation is essential for developing practical all-solid-state batteries. Li dendrites are associated with mechanical stress accumulation and can cause cell failure at current densities below the threshold suggested by industry research (i.e., >5 mA/cm2). Here, we apply a MHz-pulse-current protocol to circumvent low-current cell failure for developing all-solid-state Li metal cells operating up to a current density of 6.5 mA/cm2. Additionally, we propose a mechanistic analysis of the experimental results to prove that lithium activity near solid-state electrolyte defect tips is critical for reliable cell cycling. It is demonstrated that when lithium is geometrically constrained and local current plating rates exceed the exchange current density, the electrolyte region close to the defect releases the accumulated elastic energy favouring fracturing. As the build-up of this critical activity requires a certain period, applying current pulses of shorter duration can thus improve the cycling performance of all-solid-solid-state lithium batteries.
A high-temperature double perovskite molecule-based antiferroelectric with excellent anti-breakdown capacity for energy storage
Authors: Liu Yi , Ma Yu , Zeng Xi , Xu Haojie , Guo Wuqian , Wang Beibei , Hua Lina , Tang Liwei , Luo Junhua , Sun Zhihua 
Published: April 2023

AbstractHalide double perovskites have recently emerged as an environmentally green candidate toward electronic and optoelectronic applications owing to their non-toxicity and versatile physical merits, whereas study on high-temperature antiferroelectric (AFE) with excellent anti-breakdown property remains a huge blank in this booming family. Herein, we present the first high-temperature AFE of the lead-free halide double perovskites, (CHMA)2CsAgBiBr7 (1, where CHMA+ is cyclohexylmethylammonium), by incorporating a flexible organic spacer cation. The typical double P-E hysteresis loops and J-E curves reveal its concrete high-temperature AFE behaviors, giving large polarizations of ~4.2 μC/cm2 and a high Curie temperature of 378 K. Such merits are on the highest level of molecular AFE materials. Particularly, the dynamic motional ordering of CHMA+ cation contributes to the formation of antipolar alignment and high electric breakdown field strength up to ~205 kV/cm with fatigue endurance over 104 cycles, almost outperforming the vast majority of molecule counterparts. This is the first demonstration of high-temperature AFE properties in the halide double perovskites, which will promote the exploration of new “green” candidates for anti-breakdown energy storage capacitor.
Sediment delivery to sustain the Ganges-Brahmaputra delta under climate change and anthropogenic impacts
Authors: Raff Jessica L. , Goodbred Steven L. , Pickering Jennifer L. , Sincavage Ryan S. , Ayers John C. , Hossain Md. Saddam , Wilson Carol A. , Paola Chris , Steckler Michael S. , Mondal Dhiman R. , Grimaud Jean-Louis , Grall Celine Jo , Rogers Kimberly G. , Ahmed Kazi Matin , Akhter Syed Humayun , Carlson Brandee N. , Chamberlain Elizabeth L. , Dejter Meagan , Gilligan Jonathan M. , Hale Richard P. , Khan Mahfuzur R. , Muktadir Md. Golam , Rahman Md. Munsur , Williams Lauren A. 
Published: April 2023

AbstractThe principal nature-based solution for offsetting relative sea-level rise in the Ganges-Brahmaputra delta is the unabated delivery, dispersal, and deposition of the rivers’ ~1 billion-tonne annual sediment load. Recent hydrological transport modeling suggests that strengthening monsoon precipitation in the 21st century could increase this sediment delivery 34-60%; yet other studies demonstrate that sediment could decline 15-80% if planned dams and river diversions are fully implemented. We validate these modeled ranges by developing a comprehensive field-based sediment budget that quantifies the supply of Ganges-Brahmaputra river sediment under varying Holocene climate conditions. Our data reveal natural responses in sediment supply comparable to previously modeled results and suggest that increased sediment delivery may be capable of offsetting accelerated sea-level rise. This prospect for a naturally sustained Ganges-Brahmaputra delta presents possibilities beyond the dystopian future often posed for this system, but the implementation of currently proposed dams and diversions would preclude such opportunities.
Chemical evolution of an autonomous DNAzyme with allele-specific gene silencing activity
Authors: Nguyen Kim , Malik Turnee N. , Chaput John C. 
Published: April 2023

AbstractLow activity has been the primary obstacle impeding the use of DNA enzymes (DNAzymes) as gene silencing agents in clinical applications. Here we describe the chemical evolution of a DNAzyme with strong catalytic activity under near physiological conditions. The enzyme achieves ~65 turnovers in 30 minutes, a feat only previously witnessed by the unmodified parent sequence under forcing conditions of elevated Mg2+ and pH. Structural constraints imposed by the chemical modifications drive catalysis toward a highly preferred UGUD motif (cut site underlined) that was validated by positive and negative predictions. Biochemical assays support an autonomous RNA cleavage mechanism independent of RNase H1 engagement. Consistent with its strong catalytic activity, the enzyme exhibits persistent allele-specific knock-down of an endogenous mRNA encoding an undruggable oncogenic KRAS target. Together, these results demonstrate that chemical evolution offers a powerful approach for discovering new chemotype combinations that can imbue DNAzymes with the physicochemical properties necessary to support therapeutic applications.
Ethnic diversity fosters the social integration of refugee students
Authors: Boda Zsófia , Lorenz Georg , Jansen Malte , Stanat Petra , Edele Aileen 
Published: April 2023

AbstractForced migration has become a global megatrend, and many refugees are school aged. As social integration is key to their wellbeing and success, it is pivotal to determine factors that promote the social integration of refugee youth within schools. Here, using a large, nationally representative social network dataset from Germany, we examine the relationships of refugee adolescents with their peers (304 classrooms, 6,390 adolescents and 487 refugees). We find that refugee adolescents have fewer friends and are more often rejected as desk mates than their classmates. Crucially, however, they are less rejected in more diverse classrooms. This results from two basic processes: (1) more opportunities to meet other ethnic minority peers, who are more accepting of refugees in general and (2) higher acceptance of refugee adolescents by ethnic majority peers in more diverse settings. Our results can help promote the social adjustment of young refugees in school and mitigate the negative consequences of prejudice.
Human memory B cells show plasticity and adopt multiple fates upon recall response to SARS-CoV-2
Authors: Zurbuchen Yves , Michler Jan , Taeschler Patrick , Adamo Sarah , Cervia Carlo , Raeber Miro E. , Acar Ilhan E. , Nilsson Jakob , Warnatz Klaus , Soyka Michael B. , Moor Andreas E. , Boyman Onur 
Published: April 2023

AbstractThe B cell response to different pathogens uses tailored effector mechanisms and results in functionally specialized memory B (Bm) cell subsets, including CD21+ resting, CD21–CD27+ activated and CD21–CD27– Bm cells. The interrelatedness between these Bm cell subsets remains unknown. Here we showed that single severe acute respiratory syndrome coronavirus 2-specific Bm cell clones showed plasticity upon antigen rechallenge in previously exposed individuals. CD21– Bm cells were the predominant subsets during acute infection and early after severe acute respiratory syndrome coronavirus 2-specific immunization. At months 6 and 12 post-infection, CD21+ resting Bm cells were the major Bm cell subset in the circulation and were also detected in peripheral lymphoid organs, where they carried tissue residency markers. Tracking of individual B cell clones by B cell receptor sequencing revealed that previously fated Bm cell clones could redifferentiate upon antigen rechallenge into other Bm cell subsets, including CD21–CD27– Bm cells, demonstrating that single Bm cell clones can adopt functionally different trajectories.
Lipid-coated mesoporous silica nanoparticles for anti-viral applications via delivery of CRISPR-Cas9 ribonucleoproteins
Authors: LaBauve Annette E. , Saada Edwin A. , Jones Iris K. A. , Mosesso Richard , Noureddine Achraf , Techel Jessica , Gomez Andrew , Collette Nicole , Sherman Michael B. , Serda Rita E. , Butler Kimberly S. , Brinker C. Jeffery , Schoeniger Joseph S. , Sasaki Darryl , Negrete Oscar A. 
Published: April 2023

AbstractEmerging and re-emerging viral pathogens present a unique challenge for anti-viral therapeutic development. Anti-viral approaches with high flexibility and rapid production times are essential for combating these high-pandemic risk viruses. CRISPR-Cas technologies have been extensively repurposed to treat a variety of diseases, with recent work expanding into potential applications against viral infections. However, delivery still presents a major challenge for these technologies. Lipid-coated mesoporous silica nanoparticles (LCMSNs) offer an attractive delivery vehicle for a variety of cargos due to their high biocompatibility, tractable synthesis, and amenability to chemical functionalization. Here, we report the use of LCMSNs to deliver CRISPR-Cas9 ribonucleoproteins (RNPs) that target the Niemann–Pick disease type C1 gene, an essential host factor required for entry of the high-pandemic risk pathogen Ebola virus, demonstrating an efficient reduction in viral infection. We further highlight successful in vivo delivery of the RNP-LCMSN platform to the mouse liver via systemic administration.
A novel Alzheimer’s disease prognostic signature: identification and analysis of glutamine metabolism genes in immunogenicity and immunotherapy efficacy
Authors: Wu Zixuan , Liu Ping , Huang Baisheng , Deng Sisi , Song Zhenyan , Huang Xindi , Yang Jing , Cheng Shaowu 
Published: April 2023

AbstractAlzheimer’s disease (AD) is characterized as a distinct onset and progression of cognitive and functional decline associated with age, as well as a specific neuropathology. It has been discovered that glutamine (Gln) metabolism plays a crucial role in cancer. However, a full investigation of its role in Alzheimer’s disease is still missing. This study intended to find and confirm potential Gln-related genes associated with AD using bioinformatics analysis. The discovery of GlnMgs was made possible by the intersection of the WGCNA test and 26 Gln-metabolism genes (GlnMgs). GlnMgs’ putative biological functions and pathways were identified using GSVA. The LASSO method was then used to identify the hub genes as well as the diagnostic efficiency of the four GlnMgs in identifying AD. The association between hub GlnMgs and clinical characteristics was also studied. Finally, the GSE63060 was utilized to confirm the levels of expression of the four GlnMgs. Four GlnMgs were discovered (ATP5H, NDUFAB1, PFN2, and SPHKAP). For biological function analysis, cell fate specification, atrioventricular canal development, and neuron fate specification were emphasized. The diagnostic ability of the four GlnMgs in differentiating AD exhibited a good value. This study discovered four GlnMgs that are linked to AD. They shed light on potential new biomarkers for AD and tracking its progression.
Tropical lacustrine sediment microbial community response to an extreme El Niño event
Authors: Chen Mingfei , Conroy Jessica L. , Sanford Robert A. , Wyman-Feravich D. Allie , Chee-Sanford Joanne C. , Connor Lynn M. 
Published: April 2023

AbstractSalinity can influence microbial communities and related functional groups in lacustrine sediments, but few studies have examined temporal variability in salinity and associated changes in lacustrine microbial communities and functional groups. To better understand how microbial communities and functional groups respond to salinity, we examined geochemistry and functional gene amplicon sequence data collected from 13 lakes located in Kiritimati, Republic of Kiribati (2° N, 157° W) in July 2014 and June 2019, dates which bracket the very large El Niño event of 2015–2016 and a period of extremely high precipitation rates. Lake water salinity values in 2019 were significantly reduced and covaried with ecological distances between microbial samples. Specifically, phylum- and family-level results indicate that more halophilic microorganisms occurred in 2014 samples, whereas more mesohaline, marine, or halotolerant microorganisms were detected in 2019 samples. Functional Annotation of Prokaryotic Taxa (FAPROTAX) and functional gene results (nifH, nrfA, aprA) suggest that salinity influences the relative abundance of key functional groups (chemoheterotrophs, phototrophs, nitrogen fixers, denitrifiers, sulfate reducers), as well as the microbial diversity within functional groups. Accordingly, we conclude that microbial community and functional gene groups in the lacustrine sediments of Kiritimati show dynamic changes and adaptations to the fluctuations in salinity driven by the El Niño-Southern Oscillation.
Improvement of semantic segmentation through transfer learning of multi-class regions with convolutional neural networks on supine and prone breast MRI images
Authors: Ham Sungwon , Kim Minjee , Lee Sangwook , Wang Chuan-Bing , Ko BeomSeok , Kim Namkug 
Published: April 2023

AbstractSemantic segmentation of breast and surrounding tissues in supine and prone breast magnetic resonance imaging (MRI) is required for various kinds of computer-assisted diagnoses for surgical applications. Variability of breast shape in supine and prone poses along with various MRI artifacts makes it difficult to determine robust breast and surrounding tissue segmentation. Therefore, we evaluated semantic segmentation with transfer learning of convolutional neural networks to create robust breast segmentation in supine breast MRI without considering supine or prone positions. Total 29 patients with T1-weighted contrast-enhanced images were collected at Asan Medical Center and two types of breast MRI were performed in the prone position and the supine position. The four classes, including lungs and heart, muscles and bones, parenchyma with cancer, and skin and fat, were manually drawn by an expert. Semantic segmentation on breast MRI scans with supine, prone, transferred from prone to supine, and pooled supine and prone MRI were trained and compared using 2D U-Net, 3D U-Net, 2D nnU-Net and 3D nnU-Net. The best performance was 2D models with transfer learning. Our results showed excellent performance and could be used for clinical purposes such as breast registration and computer-aided diagnosis.
Analysis of fractional order model on higher institution students’ anxiety towards mathematics with optimal control theory
Authors: Teklu Shewafera Wondimagegnhu 
Published: April 2023

AbstractAnxiety towards mathematics is the most common problem throughout nations in the world. In this study, we have mainly formulated and analyzed a Caputo fractional order mathematical model with optimal control strategies on higher institution students’ anxiety towards mathematics. The non-negativity and boundedness of the fractional order dynamical system solutions have been analysed. Both the anxiety-free and anxiety endemic equilibrium points of the Caputo fractional order model are found, and the local stability analysis of the anxiety-free and anxiety endemic equilibrium points are examined. Conditions for Caputo fractional order model backward bifurcation are analyzed whenever the anxiety effective reproduction number is less than one. We have shown the global asymptotic stability of the endemic equilibrium point. Moreover, we have carried out the optimal control strategy analysis of the fractional order model. Eventually, we have established the analytical results through numerical simulations to investigate the memory effect of the fractional order derivative approach, the behavior of the model solutions and the effects of parameters on the students anxiety towards mathematics in the community. Protection and treatment of anxiety infectious students have fundamental roles to minimize and possibly to eradicate mathematics anxiety from the higher institutions.
Attention-based message passing and dynamic graph convolution for spatiotemporal data imputation
Authors: Wang Yifan , Bu Fanliang , Lv Xiaojun , Hou Zhiwen , Bu Lingbin , Meng Fanxu , Wang Zhongqing 
Published: April 2023

AbstractAlthough numerous spatiotemporal approaches have been presented to address the problem of missing spatiotemporal data, there are still limitations in concurrently capturing the underlying spatiotemporal dependence of spatiotemporal graph data. Furthermore, most imputation methods miss the hidden dynamic connection associations that exist between graph nodes over time. To address the aforementioned spatiotemporal data imputation challenge, we present an attention-based message passing and dynamic graph convolution network (ADGCN). Specifically, this paper uses attention mechanisms to unify temporal and spatial continuity and aggregate node neighbor information in multiple directions. Furthermore, a dynamic graph convolution module is designed to capture constantly changing spatial correlations in sensors utilizing a new dynamic graph generation method with gating to transmit node information. Extensive imputation tests in the air quality and traffic flow domains were carried out on four real missing data sets. Experiments show that the ADGCN outperforms the state-of-the-art baseline.