bluuebunny/crossref_metadata_2025_split huggingface dataset:
COVID-19 data reporting systems in Africa reveal insights for future pandemics
Authors: Judson Seth D. , Torimiro Judith , Pigott David M. , Maima Apollo , Mostafa Ahmed , Samy Ahmed , Rabinowitz Peter , Njabo Kevin 
Published: June 2022

Abstract
Globally, countries have used diverse methods to report data during the COVID-19 pandemic. Using international guidelines and principles of emergency management, we compare national data reporting systems in African countries in order to determine lessons for future pandemics. We analyse COVID-19 reporting practices across 54 African countries through 2020. Reporting systems were diverse and included summaries, press releases, situation reports and online dashboards. These systems were communicated via social media accounts and websites belonging to ministries of health and public health. Data variables from the reports included event detection (cases/deaths/recoveries), risk assessment (demographics/co-morbidities) and response (total tests/hospitalisations). Of countries with reporting systems, 36/53 (67.9%) had recurrent situation reports and/or online dashboards which provided more extensive data. All of these systems reported cases, deaths and recoveries. However, few systems contained risk assessment and response data, with only 5/36 (13.9%) reporting patient co-morbidities and 9/36 (25%) including total hospitalisations. Further evaluation of reporting practices in Cameroon, Egypt, Kenya, Senegal and South Africa as examples from different sub-regions revealed differences in reporting healthcare capacity and preparedness data. Improving the standardisation and accessibility of national data reporting systems could augment research and decision-making, as well as increase public awareness and transparency for national governments.
Palliative care nurses’ experiences of stress, anxiety, and burnout: A thematic synthesis
Authors: Clayton Malcolm , Marczak Magda 
Published: June 2022

AbstractObjectivesThis systematic literature review aimed to critically appraise empirical evidence investigating palliative care (PC) nurses’ experiences of stress, anxiety, and burnout.MethodsSix databases (PsycINFO, MEDLINE, Scopus, CINAHL, PubMed, and Web of Science) covering literature within psychology, medicine and healthcare, and social sciences were searched from inception until December 2020. Studies were eligible if they included qualitative literature reporting on experiences of nurses working in a PC setting of stress, anxiety, or burnout, and were published in English. Eighteen studies satisfied the review's inclusion criteria and were considered relevant to the review aims. Critical appraisal was undertaken using the Critical Appraisal Skills Programme Qualitative Checklist.ResultsThematic synthesis identified three main themes: When work becomes personal, The burden on mind and body, and Finding meaning and connection. The findings suggested that stress, anxiety, and burnout are deeply personal feelings experienced by nurses both on an emotional and physical level. Additionally, PC nurses’ experiences can differ in meaning and strength depending on their relationships with patients, patients’ families, and colleagues.Significance of the resultsThe synthesis highlighted that PC nurses' experiences are complex, encompassing clinical and organizational challenges, and the personal impact their work has on them. Having a greater understanding of the factors that contribute to PC nurses’ experiences may help in PC nurses’ core training and continuing professional education, as well as the provision of effective supervision and staff support.
Multiple Reactivations of the Rennick Graben Fault System (Northern Victoria Land, Antarctica): New Evidence From Paleostress Analysis
Authors: Cianfarra P. , Locatelli M. , Capponi G. , Crispini L. , Rossi C. , Salvini F. , Federico L. 
Published: June 2022

AbstractThe dense fault network that separates the tectonic units of northern Victoria Land to the E from the East Antarctic Craton to the W represents a regionally sized, NNW‐SSE trending deformation zone that is also known as the Rennick Graben Fault system (RGF). This long‐lived deformation zone is characterized by great structural complexity, with the superposition and polyphasic reactivation of regional faults; it is known to have been active since the Cambrian‐Ordovician, when it formed as a suture zone between different terranes, up to the recent. Its complete framework and geodynamic evolution are still debated and have only been partially investigated. In this research, we explore the Meso‐Cenozoic tectonic framework of the RGF by investigating the paleostress fields that characterized the last geodynamic events in the area and their associated brittle deformation. We analyzed faults and fractures data collected at 89 sites during several PNRA ItaliAntartide expeditions and combined fault‐slip data inversion with the azimuthal orientation of faults and the spatial distribution of fracture intensities across the RGF. The results from this multi methodological approach confirm the existence of two geotectonic provinces (Bowers Mountains province to the E and Usarp Mountains to the W) characterized by different spatial distributions of brittle deformation, which are significantly more intense in the Bower Mountains domain. Here, the repeated reactivation of the RGF led to the superposition of two recent (Meso‐Cenozoic) major tectonic events, with prevalent strike‐slip kinematics and characterized by fault reactivation with right‐lateral movement overprinting the previous left‐lateral event.
Attribution of Observed Periodicity in Extreme Weather Events in Eastern North America
Authors: Walsh C. R. , Patterson R. T. 
Published: June 2022

AbstractInstrumental weather records (1880–2020s) from eastern North America were analyzed to characterize the regional patterns and drivers of seasonal extreme weather (snow, rain, high and low temperatures). Using agglomerative hierarchical clustering of extreme weather data, the region was divided into three subregions that are influenced by coastal‐marine gradients and latitudinal factors. Subsequent analyses were performed on high‐quality stations from each subregion and results compared between one another. Long‐term locally weighted linear regressions delineated long‐term changes in extreme weather, and a combination of spectral analysis, continuous wavelet transforms, and cross wavelet transforms were used to identify periodic components in the data. Regional extreme weather is generally periodic, composed of interannual to interdecadal‐scale oscillations and driven by several natural climatic oscillations. The most important such oscillation is the 11‐year Schwabe Solar Cycle, which has a strong and continuous effect on regional extreme weather. The Pacific Decadal Oscillation and Quasi Biennial Oscillation also show considerable influence, but intermittently. The El Niño Southern Oscillation, the Arctic Oscillation, and the North Atlantic Oscillation all have a weaker but interrelated influence. While the Atlantic Multidecadal Oscillation showed the weakest overall influence on regional extreme weather, it demonstrated a clear spatial gradient across the region, unlike the aforementioned oscillations. Long‐term changes in regional extreme weather are not generally important, in that a sustained increase or decrease in extreme weather events is not usually characteristic of the weather records. The primary exception to this result is for extreme minimum temperature events, whose frequency has slightly decreased since the 1880s.
Quantifying the Effect of Climate Change on Midlatitude Subseasonal Prediction Skill Provided by the Tropics
Authors: Mayer Kirsten J. , Barnes Elizabeth A. 
Published: June 2022

AbstractSubseasonal timescales (∼2 weeks–2 months) are known for their lack of predictability, however, specific Earth system states known to have a strong influence on these timescales can be harnessed to improve prediction skill (known as “forecasts of opportunity”). As the climate continues warming, it is hypothesized these states may change and consequently, their importance for subseasonal prediction may also be impacted. Here, we examine changes to midlatitude subseasonal prediction skill provided by the tropics under anthropogenic warming using artificial neural networks to quantify skill. The network is tasked to predict the sign of the 500 hPa geopotential height for historical and future time periods in the Community Earth System Model Version 2 ‐ Large Ensemble across the Northern Hemisphere at a 3 week lead using tropical precipitation. We show prediction skill changes substantially in key midlatitude regions and these changes appear linked to changes in seasonal variability with the largest differences in accuracy occurring during forecasts of opportunity.
Driving Mechanisms of an Extreme Winter Sea Ice Breakup Event in the Beaufort Sea
Authors: Rheinlænder Jonathan W. , Davy Richard , Ólason Einar , Rampal Pierre , Spensberger Clemens , Williams Timothy D. , Korosov Anton , Spengler Thomas 
Published: June 2022

AbstractThe thick multiyear sea ice that once covered large parts of the Arctic is increasingly being replaced by thinner and weaker first‐year ice, making it more vulnerable to breakup by winds. We use the neXtSIM sea ice model to investigate the driving mechanisms behind a large breakup event in the Beaufort Sea during winter 2013. Our simulations are the first to successfully reproduce the timing, location, and propagation of sea ice leads associated with wind‐driven breakup and highlight the importance of accuracy of the atmospheric forcing, sea ice rheology, and changes in sea ice thickness. We found that the breakup resulted in enhanced export of multiyear ice from the Beaufort Sea. Overall, this leads to a relatively thinner and weaker simulated ice cover that potentially preconditions earlier breakup in spring and accelerates sea ice loss. Finally, our simulations indicate that large breakup events could become more frequent as Arctic sea ice continues to thin.
Ultralow detection limit and ultrafast response/recovery of the H2 gas sensor based on Pd-doped rGO/ZnO-SnO2 from hydrothermal synthesis
Authors: Zhang Xinxiao , Sun Jianhai , Tang Kangsong , Wang Hairong , Chen Tingting , Jiang Kaisheng , Zhou Tianye , Quan Hao , Guo Ruihua 
Published: June 2022

AbstractHydrogen (H2) sensors are of great significance in hydrogen energy development and hydrogen safety monitoring. However, achieving fast and effective detection of low concentrations of hydrogen is a key problem to be solved in hydrogen sensing. In this work, we combined the excellent gas sensing properties of tin(IV) oxide (SnO2) and zinc oxide (ZnO) with the outstanding electrical properties of reduced graphene oxide (rGO) and prepared palladium (Pd)-doped rGO/ZnO-SnO2 nanocomposites by a hydrothermal method. The crystal structure, structural morphology, and elemental composition of the material were characterized by FE-SEM, TEM, XRD, XPS, Raman spectroscopy, and N2 adsorption–desorption. The results showed that the Pd-doped ZnO-SnO2 composites were successfully synthesized and uniformly coated on the surface of the rGO. The hydrogen gas sensing performance of the sensor prepared in this work was investigated, and the results showed that, compared with the pure Pd-doped ZnO-SnO2 sensor, the Pd-doped rGO/ZnO-SnO2 sensor modified with 3 wt% rGO had better hydrogen (H2)-sensing response of 9.4–100 ppm H2 at 380 °C. In addition, this sensor had extremely low time parameters (the response time and recovery time for 100 ppm H2 at 380 °C were 4 s and 8 s, respectively) and an extremely low detection limit (50 ppb). Moreover, the sensor exhibited outstanding repeatability and restoration. According to the analysis of the sensing mechanism of this nanocomposite, the enhanced sensing performance of the Pd-doped rGO/ZnO-SnO2 sensor is mainly due to the heterostructure of rGO, ZnO, and SnO2, the excellent electrical and physical properties of rGO and the synergy between rGO and Pd.
Identifying alcohol misuse biotypes from neural connectivity markers and concurrent genetic associations
Authors: Zhu Tan , Becquey Chloe , Chen Yu , Lejuez Carl W. , Li Chiang-Shan R. , Bi Jinbo 
Published: June 2022

AbstractAlcohol use behaviors are highly heterogeneous, posing significant challenges to etiologic research of alcohol use disorder (AUD). Magnetic resonance imaging (MRI) provides intermediate endophenotypes in characterizing problem alcohol use and assessing the genetic architecture of addictive behavior. We used connectivity features derived from resting state functional MRI to subtype alcohol misuse (AM) behavior. With a machine learning pipeline of feature selection, dimension reduction, clustering, and classification we identified three AM biotypes—mild, comorbid, and moderate AM biotypes (MIA, COA, and MOA)—from a Human Connectome Project (HCP) discovery sample (194 drinkers). The three groups and controls (397 non-drinkers) demonstrated significant differences in alcohol use frequency during the heaviest 12-month drinking period (MOA > MIA; COA > non-drinkers) and were distinguished by connectivity features involving the frontal, parietal, subcortical and default mode networks. Further, COA relative to MIA, MOA and controls endorsed significantly higher scores in antisocial personality. A genetic association study identified that an alcohol use and antisocial behavior related variant rs16930842 from LINC01414 was significantly associated with COA. Using a replication HCP sample (28 drinkers and 46 non-drinkers), we found that subtyping helped in classifying AM from controls (area under the curve or AUC = 0.70,P < 0.005) in comparison to classifiers without subtyping (AUC = 0.60, not significant) and successfully reproduced the genetic association. Together, the results suggest functional connectivities as important features in classifying AM subgroups and the utility of reducing the heterogeneity in connectivity features among AM subgroups in advancing the research of etiological neural markers of AUD.
B7-1 mediates podocyte injury and glomerulosclerosis through communication with Hsp90ab1-LRP5-β-catenin pathway
Authors: Li Jiemei , Niu Jing , Min Wenjian , Ai Jun , Lin Xu , Miao Jinhua , Zhou Shan , Liang Ye , Chen Shuangqin , Ren Qian , Shen Kunyu , Wu Qinyu , Li Xiaolong , Shen Weiwei , Hou Fan Fan , Liu Youhua , Yang Peng , Zhou Lili 
Published: June 2022

AbstractPodocyte injury is a hallmark of glomerular diseases; however, the underlying mechanisms remain unclear. B7-1 is increased in injured podocytes, but its intrinsic role is controversial. The clinical data here revealed the intimate correlation of urinary B7-1 with severity of glomerular injury. Through transcriptomic and biological assays in B7-1 transgenic and adriamycin nephropathy models, we identified B7-1 is a key mediator in podocyte injury and glomerulosclerosis through a series of signal transmission to β-catenin. Using LC-MS/MS, Hsp90ab1, a conserved molecular chaperone, was distinguished to be an anchor for transmitting signals from B7-1 to β-catenin. Molecular docking and subsequent mutant analysis further identified the residue K69 in the N terminal domain of Hsp90ab1 was the key binding site for B7-1 to activate LRP5/β-catenin pathway. The interaction and biological functions of B7-1-Hsp90ab1-LRP5 complex were further demonstrated in vitro and in vivo. We also found B7-1 is a novel downstream target of β-catenin. Our results indicate an intercrossed network of B7-1, which collectively induces podocyte injury and glomerulosclerosis. Our study provides an important clue to improve the therapeutic strategies to target B7-1.
RETRACTED ARTICLE: RUNX3-regulated circRNA METTL3 inhibits colorectal cancer proliferation and metastasis via miR-107/PER3 axis
Authors: Zhang Feng , Su Tao , Xiao Meifang 
Published: June 2022

AbstractColorectal cancer (CRC) is one of the most prevalent and lethal malignancies. Exploring the underlying molecular mechanisms is very helpful for the development of new therapy. Here, we investigated the function of circMETTL3/miR-107/PER3 in CRC. Human CRC tissues from diagnosed CRC patients and six CRC cell lines, one normal human colon cell line were used. qRT-PCR and western blotting were performed to determine expression levels of RUNX3, circMETTL3, miR-107, PER3, and proliferation-, and migration-related proteins. CCK-8, colony formation assay, transwell assay, and scratch wound assay were utilized to assess CRC cell proliferation and invasion. ChIP, EMSA, biotin-pull down, RIP assay, and dual luciferase reporter assay were performed to validate interactions of RUNX3/METTL3 promoter, circMETTL3/miR-107, and miR-107/PER3. FISH was used to characterize circMETTL3. MSP was employed to measure methylation level. Nude mouse xenograft model was used to determine the effects on tumor growth and metastasis in vivo. RUNX3, circMETTL3, and PER3 were diminished while miR-107 was elevated in CRC tissues and cells. Low levels of RUNX3 and circMETTL3 correlated with poor prognosis of CRC. Overexpression of RUNX3, circMETTL3, or PER3 suppressed while miR-107 mimics promoted, CRC cell proliferation and invasion, as well as tumor growth and metastasis in vivo. Mechanistically, RUNX3 bound to METTL3 promoter and activated circMETTL3 transcription. circMETTL3 directly bound with miR-107 which targeted PER3. circMETTL3/miR-107 regulated CRC cell proliferation and invasion via PER3. CircMETTL3, transcriptionally activated by RUNX3, restrains CRC development and metastasis via acting as a miR-107 sponge to regulate PER3 signaling.
microRNA-140-3p protects hippocampal neuron against pyroptosis to attenuate sevoflurane inhalation-induced post-operative cognitive dysfunction in rats via activation of HTR2A/ERK/Nrf2 axis by targeting DNMT1
Authors: Wu Zhiguo , Tan Jian , Lin Lichang , Zhang Wenting , Yuan Wanqiu 
Published: June 2022

AbstractThe incidence of post-operative cognitive dysfunction (POCD) remains a relatively prevalent complication in the elderly after surgery, especially in those receiving sevoflurane (Sevo) anesthesia. microRNA (miR)−140-3p has been demonstrated to orchestrate neuroinflammation and neuron apoptosis. However, the role of miR-140-3p in POCD remains largely unknown. In this context, this research was designed to explore whether miR-140-3p mediated Sevo inhalation-induced POCD in rats. A POCD rat model was established by Sevo inhalation, and a Sevo cell model was constructed in primary hippocampal neurons isolated from rats, followed by detection of miR-140-30 and HTR2A expression. Then, gain- and loss-of-function assays were implemented in rats and neurons. In rats, the cognitive function was evaluated by Water maze test and step-through test, and neuron apoptosis by TUNEL staining. In neurons, cell viability, apoptosis, and pyroptosis-related factors were tested by MTT, flow cytometry, and Western blot analysis respectively. Interaction between HTR2A and DNMT1 was assessed by MSP, and ChIP assay, and interaction between miR-140-3p and DNMT1 by dual-luciferase reporter assay, RIP and RNA pull-down. HTR2A and miR-140-3p were downregulated in POCD rats and Sevo-treated hippocampal neurons. Mechanistically, miR-140-3p negatively targeted DNMT1 to decrease HTR2A promoter methylation, thus upregulation HTR2A to activate ERK/Nrf2 pathway. miR-140-3p or HTR2A overexpression or activation of ERK/Nrf2 pathway elevated neuron viability and diminished their apoptosis and pyroptosis while alleviating Sevo-induced POCD in rats. Collectively, miR-140-3p might repress neuron pyroptosis to alleviate Sevo inhalation-induced POCD in rats via DNMT1/HTR2A/ERK/Nrf2 axis.
Taming the radical cation intermediate enabled one-step access to structurally diverse lignans
Authors: Xiang Jia-Chen , Fung Cédric , Wang Qian , Zhu Jieping 
Published: June 2022

AbstractLignans, in spite of their structural diversity, are all biosynthetically derived from coniferyl alcohol. We report herein a divergent synthesis of lignans from biomass-derived monolignols in a short synthetic sequence. Blue LED irradiation of a dichloromethane solution of dicinnamyl ether derivatives in the presence of Cu(TFA)2, an alcohol (2.0 equiv) and a catalytic amount of Fukuzumi’s salt affords the C7-alkoxylated aryltetralin cyclic ethers. Increasing the amount of alcohol under otherwise identical conditions diverts the reaction course to furnish the C7,C7’-dialkoxylated dibenzyltetrahydrofurans, while replacing Cu(TFA)2with diphenyl disulfide (PhSSPh) provides selectively the C7-monoalkoxylated dibenzyltetrahydrofurans. Aza-, thia- and carba-analogues of lignans are equally accessible by simply changing the tethering atom of the allylic alcohols. Concise total syntheses of aglacins A, E, F, brassilignan, and dehydrodimethylconidendrin are documented featuring these transformations.
Catalytical nano-immunocomplexes for remote-controlled sono-metabolic checkpoint trimodal cancer therapy
Authors: Zhang Chi , Huang Jingsheng , Zeng Ziling , He Shasha , Cheng Penghui , Li Jingchao , Pu Kanyi 
Published: June 2022

AbstractCheckpoint immunotherapies have been combined with other therapeutic modalities to increase patient response rate and improve therapeutic outcome, which however exacerbates immune-related adverse events and requires to be carefully implemented in a narrowed therapeutic window. Strategies for precisely controlled combinational cancer immunotherapy can tackle this issue but remain lacking. We herein report a catalytical nano-immunocomplex for precise and persistent sono-metabolic checkpoint trimodal cancer therapy, whose full activities are only triggered by sono-irradiation in tumor microenvironment (TME). This nano-immunocomplex comprises three FDA-approved components, wherein checkpoint blockade inhibitor (anti-programmed death-ligand 1 antibody), immunometabolic reprogramming enzyme (adenosine deaminase, ADA), and sonosensitizer (hematoporphyrin) are covalently immobilized into one entity via acid-cleavable and singlet oxygen-activatable linkers. Thus, the activities of the nano-immunocomplex are initially silenced, and only under sono-irradiation in the acidic TME, the sonodynamic, checkpoint blockade, and immunometabolic reprogramming activities are remotely awakened. Due to the enzymatic conversion of adenosine to inosine by ADA, the nano-immunocomplex can reduce levels of intratumoral adenosine and inhibit A2A/A2B adenosine receptors-adenosinergic signaling, leading to efficient activation of immune effector cells and inhibition of immune suppressor cells in vivo. Thus, this study presents a generic and translatable nanoplatform towards precision combinational cancer immunotherapy.
Influence maximization in Boolean networks
Authors: Parmer Thomas , Rocha Luis M. , Radicchi Filippo 
Published: June 2022

AbstractThe optimization problem aiming at the identification of minimal sets of nodes able to drive the dynamics of Boolean networks toward desired long-term behaviors is central for some applications, as for example the detection of key therapeutic targets to control pathways in models of biological signaling and regulatory networks. Here, we develop a method to solve such an optimization problem taking inspiration from the well-studied problem of influence maximization for spreading processes in social networks. We validate the method on small gene regulatory networks whose dynamical landscapes are known by means of brute-force analysis. We then systematically study a large collection of gene regulatory networks. We find that for about 65% of the analyzed networks, the minimal driver sets contain less than 20% of their nodes.