bluuebunny/crossref_metadata_2025_split huggingface dataset:
Minutes of History:Talk and Its Written Incarnations
Authors: Gibson David R. 
Published: March 2022

AbstractMeeting minutes (and similar records) provide a cherished window into the internal workings of important bodies, but scholars usually have little option but to trust their veridicality. However, the production of a record of talk as it happens is a difficult task, especially when talk is animated and turn-taking unregimented. I compare recordings of four National Security Council meetings secretly made by Presidents Kennedy and Nixon with minutes and notes taken by NSC principals and staff members. While minute-taking practices differed in level of detail, all minute-takers engaged in processes of preservation, deletion, and transformation as they sought to distill and disambiguate. Moreover, the need to omit some talk made it possible to suppress certain kinds of content, such as evidence of internal disagreement. The loose relationship between talk and its written incarnation is consequential for lay actors, such as subordinates who rely on minutes for insight into their superiors’ wishes and mindsets; for scholars tempted to read minutes as an accurate account of what transpired; and, potentially, for other sorts of investigators looking to apportion responsibility for misbehavior and bad outcomes.
Understanding the Changing Nature of Marine Cold‐Spells
Authors: Wang Yuxin , Kajtar Jules B. , Alexander Lisa V. , Pilo Gabriela S. , Holbrook Neil J. 
Published: March 2022

AbstractMarine cold‐spell (MCS) metrics—such as frequency and intensity—are decreasing globally, while marine heatwave (MHW) metrics are increasing due to sea surface temperature (SST) warming. However, the concomitant changes in MHW and MCS metrics, and whether SST warming can similarly explain the decreasing MCS metrics remain unclear. Here, we provide a comparative global assessment of these changes based on satellite SST observations over 1982–2020. Across the globe, we find distinct differences in mean MHW and MCS metrics. Furthermore, decreasing trends in MCS metrics are not necessarily aligned with increasing trends in MHW metrics. While differences in intensity trends are mainly explained by SST variance trends, differences in trends of annual days are less clear. Overall, decreasing MCS days and intensities are found to be largely driven by warming SST, rather than SST variance changes. Therefore, it is expected that MCS days and intensity will continue diminishing under global warming.
Evaluation of Simulated Cloud Diurnal Variation in CMIP6 Climate Models
Authors: Chen Guoxing , Wang Wei‐Chyung , Bao Qing , Li Jiandong 
Published: March 2022

AbstractCloud diurnal variation (CDV) affects cloud radiative effects significantly as clouds reflect shortwave radiation only during the daytime but trap outgoing longwave radiation in both daytime and nighttime. Meanwhile, CDV also rectifies atmospheric variations of longer time scales via interactions with other physical and dynamic processes. These make CDV a valuable aspect for diagnosing climate model performance. Here, we evaluate the accuracy of simulated CDV in state‐of‐the‐art global climate models (GCMs) by comparing CDV in the historical simulation of 32 GCMs from 20 institutes participating the Coupled Model Intercomparison Project Phase 6 (CMIP6) with observations from the International Satellite and Cloud Climatology Project‐H product. While good agreement is found over the oceans, significant biases exist over land (notably deserts and plateaus), where the models simulate excessive nighttime clouds and insufficient daytime clouds and miss the observed peak of cloud fraction in the early afternoon. These biases persist throughout the year. It is illustrated that correcting the CDV biases tends to reduce the known model biases of smaller shortwave cloud radiative effect over the midlatitude Africa‐Europe‐Asia continent, South America, and vast ocean areas. Inter‐model comparisons show that the CDV biases vary significantly among models from different institutes and present similar characteristics among models from the same institutes, and suggests that the biases are more likely to be attributed to deficiencies in cloud‐related physical parameterizations rather than the model treatment of resolution, ocean, and chemistry. The improvement of CMIP6 models against their CMIP5 counterparts in simulating CDV is also discussed.
Effects of Climate and Anthropogenic Drivers on Surface Water Area in the Southeastern United States
Authors: Gaines Mollie D. , Tulbure Mirela G. , Perin Vinicius 
Published: March 2022

AbstractSurface water is the most readily accessible water resource and provides an array of ecosystem services, but its availability and access are stressed by changes in climate, land cover, and population size. Understanding drivers of surface water dynamics in space and time is key to better managing our water resources. However, few studies estimating changes in surface water account for climate and anthropogenic drivers both independently and together. We used 19 years (2000–2018) of the newly developed Dynamic Surface Water Extent Landsat Science Product in concert with time series of precipitation, temperature, land cover, and population size to statistically model maximum seasonal percent surface water area as a function of climate and anthropogenic drivers in the southeastern United States. We fitted three statistical models (linear mixed effects, random forests, and mixed effects random forests) and three groups of explanatory variables (climate, anthropogenic, and their combination) to assess the accuracy of estimating percent surface water area at the watershed scale with different drivers. We found that anthropogenic drivers accounted for approximately 37% more of the variance in the percent surface water area than the climate variables. The combination of variables in the mixed effects random forest model produced the smallest mean percent errors (mean −0.17%) and the highest explained variance (R2 0.99). Our results indicate that anthropogenic drivers have greater influence when estimating percent surface water area than climate drivers, suggesting that water management practices and land‐use policies can be highly effective tools in controlling surface water variations in the Southeast.
Hypothalamic control of energy expenditure and thermogenesis
Authors: Tran Le Trung , Park Sohee , Kim Seul Ki , Lee Jin Sun , Kim Ki Woo , Kwon Obin 
Published: March 2022

AbstractEnergy expenditure and energy intake need to be balanced to maintain proper energy homeostasis. Energy homeostasis is tightly regulated by the central nervous system, and the hypothalamus is the primary center for the regulation of energy balance. The hypothalamus exerts its effect through both humoral and neuronal mechanisms, and each hypothalamic area has a distinct role in the regulation of energy expenditure. Recent studies have advanced the understanding of the molecular regulation of energy expenditure and thermogenesis in the hypothalamus with targeted manipulation techniques of the mouse genome and neuronal function. In this review, we elucidate recent progress in understanding the mechanism of how the hypothalamus affects basal metabolism, modulates physical activity, and adapts to environmental temperature and food intake changes.
Microalgae-based oral microcarriers for gut microbiota homeostasis and intestinal protection in cancer radiotherapy
Authors: Zhang Dongxiao , Zhong Danni , Ouyang Jiang , He Jian , Qi Yuchen , Chen Wei , Zhang Xingcai , Tao Wei , Zhou Min 
Published: March 2022

AbstractProtecting the whole small intestine from radiation-induced intestinal injury during the radiotherapy of abdominal or pelvic solid tumors remains an unmet clinical need. Amifostine is a promising selective radioprotector for normal tissues. However, its oral application in intestinal radioprotection remains challenging. Herein, we use microalgaSpirulina platensisas a microcarrier of Amifostine to construct an oral delivery system. The system shows comprehensive drug accumulation and effective radioprotection in the whole small intestine that is significantly superior to free drug and its enteric capsule, preventing the radiation-induced intestine injury and prolonging the survival without influencing the tumor regression. It also shows benefits on the gut microbiota homeostasis and long-term safety. Based on a readily available natural microcarrier, this work presents a convenient oral delivery system to achieve effective radioprotection for the whole small intestine, providing a competitive strategy with great clinical translation potential.
Scientific multi-agent reinforcement learning for wall-models of turbulent flows
Authors: Bae H. Jane , Koumoutsakos Petros 
Published: March 2022

AbstractThe predictive capabilities of turbulent flow simulations, critical for aerodynamic design and weather prediction, hinge on the choice of turbulence models. The abundance of data from experiments and simulations and the advent of machine learning have provided a boost to turbulence modeling efforts. However, simulations of turbulent flows remain hindered by the inability of heuristics and supervised learning to model the near-wall dynamics. We address this challenge by introducing scientific multi-agent reinforcement learning (SciMARL) for the discovery of wall models for large-eddy simulations (LES). In SciMARL, discretization points act also as cooperating agents that learn to supply the LES closure model. The agents self-learn using limited data and generalize to extreme Reynolds numbers and previously unseen geometries. The present simulations reduce by several orders of magnitude the computational cost over fully-resolved simulations while reproducing key flow quantities. We believe that SciMARL creates unprecedented capabilities for the simulation of turbulent flows.
Dual-gated single-molecule field-effect transistors beyond Moore’s law
Authors: Meng Linan , Xin Na , Hu Chen , Sabea Hassan Al , Zhang Miao , Jiang Hongyu , Ji Yiru , Jia Chuancheng , Yan Zhuang , Zhang Qinghua , Gu Lin , He Xiaoyan , Selvanathan Pramila , Norel Lucie , Rigaut Stéphane , Guo Hong , Meng Sheng , Guo Xuefeng 
Published: March 2022

AbstractAs conventional silicon-based transistors are fast approaching the physical limit, it is essential to seek alternative candidates, which should be compatible with or even replace microelectronics in the future. Here, we report a robust solid-state single-molecule field-effect transistor architecture using graphene source/drain electrodes and a metal back-gate electrode. The transistor is constructed by a single dinuclear ruthenium-diarylethene (Ru-DAE) complex, acting as the conducting channel, connecting covalently with nanogapped graphene electrodes, providing field-effect behaviors with a maximum on/off ratio exceeding three orders of magnitude. Use of ultrathin high-k metal oxides as the dielectric layers is key in successfully achieving such a high performance. Additionally, Ru-DAE preserves its intrinsic photoisomerisation property, which enables a reversible photoswitching function. Both experimental and theoretical results demonstrate these distinct dual-gated behaviors consistently at the single-molecule level, which helps to develop the different technology for creation of practical ultraminiaturised functional electrical circuits beyond Moore’s law.
Agent-based modelling of reactive vaccination of workplaces and schools against COVID-19
Authors: Faucher Benjamin , Assab Rania , Roux Jonathan , Levy-Bruhl Daniel , Tran Kiem Cécile , Cauchemez Simon , Zanetti Laura , Colizza Vittoria , Boëlle Pierre-Yves , Poletto Chiara 
Published: March 2022

AbstractWith vaccination against COVID-19 stalled in some countries, increasing vaccine accessibility and distribution could help keep transmission under control. Here, we study the impact of reactive vaccination targeting schools and workplaces where cases are detected, with an agent-based model accounting for COVID-19 natural history, vaccine characteristics, demographics, behavioural changes and social distancing. In most scenarios, reactive vaccination leads to a higher reduction in cases compared with non-reactive strategies using the same number of doses. The reactive strategy could however be less effective than a moderate/high pace mass vaccination program if initial vaccination coverage is high or disease incidence is low, because few people would be vaccinated around each case. In case of flare-ups, reactive vaccination could better mitigate spread if it is implemented quickly, is supported by enhanced test-trace-isolate and triggers an increased vaccine uptake. These results provide key information to plan an adaptive vaccination rollout.
The Oligodendrocyte Transcription Factor 2 OLIG2 regulates transcriptional repression during myelinogenesis in rodents
Authors: Zhang Kunkun , Chen Shaoxuan , Yang Qihua , Guo Shuanghui , Chen Qiang , Liu Zhixiong , Li Li , Jiang Mengyun , Li Hongda , Hu Jin , Pan Xu , Deng Wenbo , Xiao Naian , Wang Bo , Wang Zhan-xiang , Zhang Liang , Mo Wei 
Published: March 2022

AbstractOLIG2 is a transcription factor that activates the expression of myelin-associated genes in the oligodendrocyte-lineage cells. However, the mechanisms of myelin gene inactivation are unclear. Here, we uncover a non-canonical function of OLIG2 in transcriptional repression to modulate myelinogenesis by functionally interacting with tri-methyltransferase SETDB1. Immunoprecipitation and chromatin-immunoprecipitation assays show that OLIG2 recruits SETDB1 for H3K9me3 modification on the Sox11 gene, which leads to the inhibition of Sox11 expression during the differentiation of oligodendrocytes progenitor cells (OPCs) into immature oligodendrocytes (iOLs). Tissue-specific depletion of Setdb1 in mice results in the hypomyelination during development and remyelination defects in the injured rodents. Knockdown of Sox11 by siRNA in rat primary OPCs or depletion of Sox11 in the oligodendrocyte lineage in mice could rescue the hypomyelination phenotype caused by the loss of OLIG2. In summary, our work demonstrates that the OLIG2-SETDB1 complex can mediate transcriptional repression in OPCs, affecting myelination.
Selective photocatalytic CO2 reduction in aerobic environment by microporous Pd-porphyrin-based polymers coated hollow TiO2
Authors: Ma Yajuan , Yi Xiaoxuan , Wang Shaolei , Li Tao , Tan Bien , Chen Chuncheng , Majima Tetsuro , Waclawik Eric R. , Zhu Huaiyong , Wang Jingyu 
Published: March 2022

AbstractDirect photocatalytic CO2reduction from primary sources, such as flue gas and air, into fuels, is highly desired, but the thermodynamically favored O2reduction almost completely impedes this process. Herein, we report on the efficacy of a composite photocatalyst prepared by hyper-crosslinking porphyrin-based polymers on hollow TiO2surface and subsequent coordinating with Pd(II). Such composite exhibits high resistance against O2inhibition, leading to 12% conversion yield of CO2from air after 2-h UV-visible light irradiation. In contrast, the CO2reduction over Pd/TiO2without the polymer is severely inhibited by the presence of O2( ≥ 0.2 %). This study presents a feasible strategy, building Pd(II) sites into CO2-adsorptive polymers on hollow TiO2surface, for realizing CO2reduction with H2O in an aerobic environment by the high CO2/O2adsorption selectivity of polymers and efficient charge separation for CO2reduction and H2O oxidation on Pd(II) sites and hollow TiO2, respectively.
The primate gut mycobiome-bacteriome interface is impacted by environmental and subsistence factors
Authors: Sharma Ashok K. , Davison Sam , Pafco Barbora , Clayton Jonathan B. , Rothman Jessica M. , McLennan Matthew R. , Cibot Marie , Fuh Terence , Vodicka Roman , Robinson Carolyn Jost , Petrzelkova Klara , Gomez Andres 
Published: March 2022

AbstractThe gut microbiome of primates is known to be influenced by both host genetic background and subsistence strategy. However, these inferences have been made mainly based on adaptations in bacterial composition - the bacteriome and have commonly overlooked the fungal fraction - the mycobiome. To further understand the factors that shape the gut mycobiome of primates and mycobiome-bacteriome interactions, we sequenced 16 S rRNA and ITS2 markers in fecal samples of four different nonhuman primate species and three human groups under different subsistence patterns (n = 149). The results show that gut mycobiome composition in primates is still largely unknown but highly plastic and weakly structured by primate phylogeny, compared with the bacteriome. We find significant gut mycobiome overlap between captive apes and human populations living under industrialized subsistence contexts; this is in contrast with contemporary hunter-gatherers and agriculturalists, who share more mycobiome traits with diverse wild-ranging nonhuman primates. In addition, mycobiome-bacteriome interactions were specific to each population, revealing that individual, lifestyle and intrinsic ecological factors affect structural correspondence, number, and kind of interactions between gut bacteria and fungi in primates. Our findings indicate a dominant effect of ecological niche, environmental factors, and diet over the phylogenetic background of the host, in shaping gut mycobiome composition and mycobiome-bacteriome interactions in primates.
Does temporal irregularity drive prediction failure in schizophrenia? temporal modelling of ERPs
Authors: Karanikolaou Maria , Limanowski Jakub , Northoff Georg 
Published: March 2022

AbstractSchizophrenia subjects often suffer from a failure to properly predict incoming inputs; most notably, some patients exhibit impaired prediction of the sensory consequences of their own actions. The mechanisms underlying this deficit remain unclear, though. One possible mechanism could consist in aberrant predictive processing, as schizophrenic patients show relatively less attenuated neuronal activity to self-produced tones, than healthy controls. Here, we tested the hypothesis that this aberrant predictive mechanism would manifest itself in the temporal irregularity of neuronal signals. For that purpose, we here introduce an event-related potential (ERP) study model analysis that consists of an EEG real-time model equation, eeg(t) and a frequency Laplace transformed Transfer Function (TF) equation, eeg(s). Combining circuit analysis with control and cable theory, we estimate the temporal model representations of auditory ERPs to reveal neural mechanisms that make predictions about self-generated sensations. We use data from 49 schizophrenic patients (SZ) and 32 healthy control (HC) subjects in an auditory ‘prediction’ paradigm; i.e., who either pressed a button to deliver a sound tone (epoch a), or just heard the tone without button press (epoch b). Our results show significantly higher degrees of temporal irregularity or imprecision between different trials of the ERP from the Cz electrode (N100, P200) in SZ compared to HC (Levene’s test, p < 0.0001) as indexed by altered latency, lower similarity/correlation of single trial time courses (using dynamic time warping), and longer settling times to reach steady state in the intertrial interval. Using machine learning, SZ vs HC could be highly accurately classified (92%) based on the temporal parameters of their ERPs’ TF models, using as features the poles of the TF rational functions. Together, our findings show temporal irregularity or imprecision between single trials to be abnormally increased in SZ. This may indicate a general impairment of SZ, related to precisely predicting the sensory consequences of one’s actions.
Baseline mapping of Oropouche virology, epidemiology, therapeutics, and vaccine research and development
Authors: Files Megan A. , Hansen Clairissa A. , Herrera Vanessa C. , Schindewolf Craig , Barrett Alan D. T. , Beasley David W. C. , Bourne Nigel , Milligan Gregg N. 
Published: March 2022

AbstractOropouche virus (OROV) is an arthropod-borne orthobunyavirus found in South America and causes Oropouche fever, a febrile infection similar to dengue. It is the second most prevalent arthropod-borne viral disease in South America after dengue. Over 500,000 cases have been diagnosed since the virus was first discovered in 1955; however, this is likely a significant underestimate given the limited availability of diagnostics. No fatalities have been reported to date, however, up to 60% of cases have a recurrent phase of disease within one month of recovery from the primary disease course. The main arthropod vector is the biting midgeCulicoides paraensis, which has a geographic range as far north as the United States and demonstrates the potential for OROV to geographically expand. The transmission cycle is incompletely understood and vertebrate hosts include both non-human primates and birds further supporting the potential ability of the virus to spread. A number of candidate antivirals have been evaluated against OROV in vitro but none showed antiviral activity. Surprisingly, there is only one report in the literature on candidate vaccines. We suggest that OROV is an undervalued pathogen much like chikungunya, Schmallenberg, and Zika viruses were before they emerged. Overall, OROV is an important emerging disease that has been under-investigated and has the potential to cause large epidemics in the future. Further research, in particular candidate vaccines, is needed for this important pathogen.
Structure and mechanism of a methyltransferase ribozyme
Authors: Deng Jie , Wilson Timothy J. , Wang Jia , Peng Xuemei , Li Mengxiao , Lin Xiaowei , Liao Wenjian , Lilley David M. J. , Huang Lin 
Published: March 2022

AbstractKnown ribozymes in contemporary biology perform a limited range of chemical catalysis, but in vitro selection has generated species that catalyze a broader range of chemistry; yet, there have been few structural and mechanistic studies of selected ribozymes. A ribozyme has recently been selected that can catalyze a site-specific methyl transfer reaction. We have solved the crystal structure of this ribozyme at a resolution of 2.3 Å, showing how the RNA folds to generate a very specific binding site for the methyl donor substrate. The structure immediately suggests a catalytic mechanism involving a combination of proximity and orientation and nucleobase-mediated general acid catalysis. The mechanism is supported by the pH dependence of the rate of catalysis. A selected methyltransferase ribozyme can thus use a relatively sophisticated catalytic mechanism, broadening the range of known RNA-catalyzed chemistry.