bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cosmopolitan Connections: Yevgeny Onegin as realist drame lyrique in Nice
Authors: Alexander Tamsin 
Published: May 2022

In the build-up to the French premiere of Tchaikovsky's Yevgeny Onegin in Nice in 1895, critics, speakers and writers on music were declaring the opera a masterpiece of psychological realism. Such a reading seems to resonate more with recent assessments of the opera; but in 1890s France, a combination of interest in the Russian realist novel and new trends in realist opera had led critics to make the literary link already. With the Franco-Russian Alliance recently finalized and hostility towards the Triplice mounting, many even suggested that the opera might form the lyric equivalent of the Russian realist novel and, in so doing, offer a morally and politically superior alternative to the so-called verismo operas of the new Italian school.The optimism surrounding Onegin, I'd like to show, was part of a broader move in late nineteenth-century France to celebrate cosmopolitanism, if not in the sense one might expect. Tchaikovsky and Onegin were very much deemed representatively Russian. What was cosmopolitan, and in turn modern, was the act of cultural transfer – exploiting international personal networks – and the opera's realism: its evocations of ordinary life and of the contemporary psychological condition. As such, a Russian opera like this could be applauded not for its revelations of an exotic or disconnected country, but for the potential it posed to integrate with and revitalize French culture.
Mass Statistical Analysis of Early VLF Events
Authors: Pailoor N. A. , Cohen M. B. 
Published: May 2022

AbstractThe analysis of very low frequency (VLF, 3–30 kHz) radio scattering can be used to measure the impact of lightning on the D region of the ionosphere (60–90 km). Early/fast events are prompt and rapid changes to the D‐region ionosphere associated with certain lightning flashes, causing heating, ionization, and attachment. Previous work has observed the behavior of early/fast events and their connection to specific types of lightning flashes through VLF remote sensing and lightning geolocation, but the unique nature of each event makes it difficult to broadly infer the interactions between lightning and the ionosphere using a small number of case studies. We assembled a massive database of VLF amplitude samples for cases when high‐intensity lightning occurs near a transmitter‐receiver path. We constructed an artificial neural network to detect and label early/fast events. With a large volume of events compiled, we charted detailed statistics of event occurrences and behavior. We find a correlation between lightning current magnitude and event likelihood, as well as inverse correlation between event likelihood and distance to transmitter‐receiver path. We further confirm the asymmetry of the peak current trends, with positive‐current strokes being significantly more likely to produce an event. We find that increased distance of the lightning to the transmitter, and to a lesser extent to the receiver, decreases the probability of an ionospheric disturbance. We find that recovery time is largely not a function of the peak current. We do not find evidence that long‐recovery events are a distinct class of Early/Fast events.
Large Geomagnetically Induced Currents at Equator Caused by an Interplanetary Magnetic Cloud
Authors: Nilam B. , Tulasi Ram S. 
Published: May 2022

AbstractHere, we report a rare observation of an extremely large and rapid change of geomagnetic field (dB/dt), a proxy for the geomagnetically induced currents (GICs), at the equator caused by a sudden drop in solar wind density at the front boundary of a magnetic cloud (MC) during the great 31 March 2001 storm. The horizontal component at the Indian equatorial station, Tirunelveli, recorded a sharp decline of ∼350 nT in just 5 min with a peak dB/dt exhibiting a concerning value of 136 nT/min, a possible GIC risk to the electric power systems. The responsible physical mechanisms were examined through magneto‐hydrodynamic model simulations and found that a prompt penetration of strong westward‐overshielding electric fields and ionospheric currents at the equator play a dominant role. This study provides some new insights into the extent of extreme geomagnetic field changes that can occur at the equatorial region due to solar wind density reduction at MC, which can have potential impacts on the electric power grid systems.
Top-down regulation of motivated behaviors via lateral septum sub-circuits
Authors: Besnard Antoine , Leroy Felix 
Published: May 2022

AbstractHow does cognition regulate innate behaviors? While the cognitive functions of the cortex have been extensively studied, we know much less about how cognition can regulate innate motivated behaviors to fulfill physiological, safety and social needs. Selection of appropriate motivated behaviors depends on external stimuli and past experiences that helps to scale priorities. With its abundant inputs from neocortical and allocortical regions, the lateral septum (LS) is ideally positioned to integrate perception and experience signals in order to regulate the activity of hypothalamic and midbrain nuclei that control motivated behaviors. In addition, LS receives numerous subcortical modulatory inputs, which represent the animal internal states and also participate in this regulation. In this perspective, we argue that LS sub-circuits regulate distinct motivated behaviors by integrating neural activity from neocortical, allocortical and neuromodulatory inputs. In addition, we propose that lateral inhibition between LS sub-circuits may allow the emergence of functional units that orchestrates competing motivated behaviors.
Macrophage migration inhibitory factor (MIF) acetylation protects neurons from ischemic injury
Authors: Hu Jin-Xia , Ma Wei-Jing , He Li-Ying , Zhang Cong-Hui , Zhang Cheng , Wang Yan , Chen Chao-Nan , Shen Da-Yong , Gao Hui-Min , Guo Rui-Ru , Ning Qian-Qian , Ye Xin-Chun , Cui Gui-Yun , Li Lei 
Published: May 2022

AbstractIschemia-induced neuronal death leads to serious lifelong neurological deficits in ischemic stroke patients. Histone deacetylase 6 (HDAC6) is a promising target for neuroprotection in many neurological disorders, including ischemic stroke. However, the mechanism by which HDAC6 inhibition protects neurons after ischemic stroke remains unclear. Here, we discovered that genetic ablation or pharmacological inhibition of HDAC6 reduced brain injury after ischemic stroke by increasing macrophage migration inhibitory factor (MIF) acetylation. Mass spectrum analysis and biochemical results revealed that HDAC6 inhibitor or aspirin treatment promoted MIF acetylation on the K78 residue. MIF K78 acetylation suppressed the interaction between MIF and AIF, which impaired MIF translocation to the nucleus in ischemic cortical neurons. Moreover, neuronal DNA fragmentation and neuronal death were impaired in the cortex after ischemia in MIF K78Q mutant mice. Our results indicate that the neuroprotective effect of HDAC6 inhibition and aspirin treatment results from MIF K78 acetylation; thus, MIF K78 acetylation may be a therapeutic target for ischemic stroke and other neurological diseases.
Rectification and confinement of photokinetic bacteria in an optical feedback loop
Authors: Massana-Cid Helena , Maggi Claudio , Frangipane Giacomo , Di Leonardo Roberto 
Published: May 2022

AbstractActive particles can self-propel by exploiting locally available energy resources. When powered by light, these resources can be distributed with high resolution allowing spatio-temporal modulation of motility. Here we show that the random walks of light-driven bacteria are rectified when they swim in a structured light field that is obtained by a simple geometric transformation of a previous system snapshot. The obtained currents achieve an optimal value that we establish by general theoretical arguments. This optical feedback is used to gather and confine bacteria in high-density and high-activity regions that can be dynamically relocated and reconfigured. Moving away from the boundaries of these optically confined states, the density decays to zero in a few tens of micrometers, exhibiting steep exponential tails that suppress cell escape and ensure long-term stability. Our method is general and scalable, providing a versatile tool to produce localized and tunable active baths for microengineering applications and systematic studies of non-equilibrium phenomena in active systems.
Integrating charge mobility, stability and stretchability within conjugated polymer films for stretchable multifunctional sensors
Authors: Son Sung Yun , Lee Giwon , Wang Hongyu , Samson Stephanie , Wei Qingshan , Zhu Yong , You Wei 
Published: May 2022

AbstractConjugated polymers (CPs) are promising semiconductors for intrinsically stretchable electronic devices. Ideally, such CPs should exhibit high charge mobility, excellent stability, and high stretchability. However, converging all these desirable properties in CPs has not been achieved via molecular design and/or device engineering. This work details the design, synthesis and characterization of a random polythiophene (RP-T50) containing ~50 mol% of thiophene units with a thermocleavable tertiary ester side chain and ~50 mol% of unsubstituted thiophene units, which, upon thermocleavage of alkyl chains, shows significant improvement of charge mobility and stability. Thermal annealing a RP-T50 film coated on a stretchable polydimethylsiloxane substrate spontaneously generates wrinkling in the polymer film, which effectively enhances the stretchability of the polymer film. The wrinkled RP-T50-based stretchable sensors can effectively detect humidity, ethanol, temperature and light even under 50% uniaxial and 30% biaxial strains. Our discoveries offer new design rationale of strategically applying CPs to intrinsically stretchable electronic systems.
Chiral emergence in multistep hierarchical assembly of achiral conjugated polymers
Authors: Park Kyung Sun , Xue Zhengyuan , Patel Bijal B. , An Hyosung , Kwok Justin J. , Kafle Prapti , Chen Qian , Shukla Diwakar , Diao Ying 
Published: May 2022

AbstractIntimately connected to the rule of life, chirality remains a long-time fascination in biology, chemistry, physics and materials science. Chiral structures, e.g., nucleic acid and cholesteric phase developed from chiral molecules are common in nature and synthetic soft materials. While it was recently discovered that achiral but bent-core mesogens can also form chiral helices, the assembly of chiral microstructures from achiral polymers has rarely been explored. Here, we reveal chiral emergence from achiral conjugated polymers, in which hierarchical helical structures are developed through a multistep assembly pathway. Upon increasing concentration beyond a threshold volume fraction, dispersed polymer nanofibers form lyotropic liquid crystalline (LC) mesophases with complex, chiral morphologies. Combining imaging, X-ray and spectroscopy techniques with molecular simulations, we demonstrate that this structural evolution arises from torsional polymer molecules which induce multiscale helical assembly, progressing from nano- to micron scale helical structures as the solution concentration increases. This study unveils a previously unknown complex state of matter for conjugated polymers that can pave way to a field of chiral (opto)electronics. We anticipate that hierarchical chiral helical structures can profoundly impact how conjugated polymers interact with light, transport charges, and transduce signals from biomolecular interactions and even give rise to properties unimagined before.
Co-infection with SARS-CoV-2 Omicron and Delta variants revealed by genomic surveillance
Authors: Rockett Rebecca J. , Draper Jenny , Gall Mailie , Sim Eby M. , Arnott Alicia , Agius Jessica E. , Johnson-Mackinnon Jessica , Fong Winkie , Martinez Elena , Drew Alexander P. , Lee Clement , Ngo Christine , Ramsperger Marc , Ginn Andrew N. , Wang Qinning , Fennell Michael , Ko Danny , Hueston Linda , Kairaitis Lukas , Holmes Edward C. , O’Sullivan Matthew N. , Chen Sharon C.-A. , Kok Jen , Dwyer Dominic E. , Sintchenko Vitali 
Published: May 2022

AbstractCo-infections with different variants of SARS-CoV-2 are a key precursor to recombination events that are likely to drive SARS-CoV-2 evolution. Rapid identification of such co-infections is required to determine their frequency in the community, particularly in populations at-risk of severe COVID-19, which have already been identified as incubators for punctuated evolutionary events. However, limited data and tools are currently available to detect and characterise the SARS-CoV-2 co-infections associated with recognised variants of concern. Here we describe co-infection with the SARS-CoV-2 variants of concern Omicron and Delta in two epidemiologically unrelated adult patients with chronic kidney disease requiring maintenance haemodialysis. Both variants were co-circulating in the community at the time of detection. Genomic surveillance based on amplicon- and probe-based sequencing using short- and long-read technologies identified and quantified subpopulations of Delta and Omicron viruses in respiratory samples. These findings highlight the importance of integrated genomic surveillance in vulnerable populations and provide diagnostic pathways to recognise SARS-CoV-2 co-infection using genomic data.
Microcomb-driven silicon photonic systems
Authors: Shu Haowen , Chang Lin , Tao Yuansheng , Shen Bitao , Xie Weiqiang , Jin Ming , Netherton Andrew , Tao Zihan , Zhang Xuguang , Chen Ruixuan , Bai Bowen , Qin Jun , Yu Shaohua , Wang Xingjun , Bowers John E. 
Published: May 2022

AbstractMicrocombs have sparked a surge of applications over the past decade, ranging from optical communications to metrology1–4. Despite their diverse deployment, most microcomb-based systems rely on a large amount of bulky elements and equipment to fulfil their desired functions, which is complicated, expensive and power consuming. By contrast, foundry-based silicon photonics (SiPh) has had remarkable success in providing versatile functionality in a scalable and low-cost manner5–7, but its available chip-based light sources lack the capacity for parallelization, which limits the scope of SiPh applications. Here we combine these two technologies by using a power-efficient and operationally simple aluminium-gallium-arsenide-on-insulator microcomb source to drive complementary metal–oxide–semiconductor SiPh engines. We present two important chip-scale photonic systems for optical data transmission and microwave photonics, respectively. A microcomb-based integrated photonic data link is demonstrated, based on a pulse-amplitude four-level modulation scheme with a two-terabit-per-second aggregate rate, and a highly reconfigurable microwave photonic filter with a high level of integration is constructed using a time-stretch approach. Such synergy of a microcomb and SiPh integrated components is an essential step towards the next generation of fully integrated photonic systems.
High-charge electron beams from a laser-wakefield accelerator driven by a CO2 laser
Authors: Brunetti Enrico , Campbell R. Neil , Lovell Jack , Jaroszynski Dino A. 
Published: May 2022

AbstractLaser-wakefield accelerators (LWFAs) driven by widely available 100s TW-class near-infrared laser systems have been shown to produce GeV-level electron beams with 10s–100s pC charge in centimetre-scale plasma. As the strength of the ponderomotive force is proportional to the square of the laser wavelength, more efficient LWFAs could be realised using longer wavelength lasers. Here we present a numerical study showing that $$10.6\,\upmu \hbox {m}$$

10.6

μ
m

, sub-picosecond CO2 lasers with peak powers of 100–800 TW can produce high-charge electron beams, exceeding that possible from LWFAs driven by femtosecond near-infrared lasers by up to three orders of magnitude. Depending on the laser and plasma parameters, electron beams with 10s MeV to GeV energy and 1–100 nC charge can be generated in 10–200 mm long plasma or gas media without requiring external guiding. The laser-to-electron energy conversion efficiency can be up to 70% and currents of 100s kA are achievable. A CO2 laser driven LWFA could be useful for applications requiring compact and industrially robust accelerators and radiations sources.
Indeterminacy of cannabis impairment and ∆9-tetrahydrocannabinol (∆9-THC) levels in blood and breath
Authors: Wurz Gregory T. , DeGregorio Michael W. 
Published: May 2022

AbstractPrevious investigators have found no clear relationship between specific blood concentrations of ∆9-tetrahydrocannabinol (∆9-THC) and impairment, and thus no scientific justification for use of legal “per se” ∆9-THC blood concentration limits. Analyzing blood from 30 subjects showed ∆9-THC concentrations that exceeded 5 ng/mL in 16 of the 30 subjects following a 12-h period of abstinence in the absence of any impairment. In blood and exhaled breath samples collected from a group of 34 subjects at baseline prior to smoking, increasing breath ∆9-THC levels were correlated with increasing blood levels (P < 0.0001) in the absence of impairment, suggesting that single measurements of ∆9-THC in breath, as in blood, are not related to impairment. When post-smoking duration of impairment was compared to baseline ∆9-THC blood concentrations, subjects with the highest baseline ∆9-THC levels tended to have the shortest duration of impairment. It was further shown that subjects with the shortest duration of impairment also had the lowest incidence of horizontal gaze nystagmus at 3 h post-smoking compared to subjects with the longest duration of impairment (P < 0.05). Finally, analysis of breath samples from a group of 44 subjects revealed the presence of transient cannabinoids such as cannabigerol, cannabichromene, and ∆9-tetrahydrocannabivarin during the peak impairment window, suggesting that these compounds may be key indicators of recent cannabis use through inhalation. In conclusion, these results provide further evidence that single measurements of ∆9-THC in blood, and now in exhaled breath, do not correlate with impairment following inhalation, and that other cannabinoids may be key indicators of recent cannabis inhalation.
A noninvasive artificial neural network model to predict IgA nephropathy risk in Chinese population
Authors: Hou Jie , Fu Shaojie , Wang Xueyao , Liu Juan , Xu Zhonggao 
Published: May 2022

AbstractRenal biopsy is the gold standard for Immunoglobulin A nephropathy (IgAN) but poses several problems. Thus, we aimed to establish a noninvasive model for predicting the risk probability of IgAN by analyzing routine and serological parameters. A total of 519 biopsy-diagnosed IgAN and 211 non-IgAN patients were recruited retrospectively. Artificial neural networks and logistic modeling were used. The receiver operating characteristic (ROC) curve and performance characteristics were determined to compare the diagnostic value between the two models. The training and validation sets did not differ significantly in terms of any variables. There were 19 significantly different parameters between the IgAN and non-IgAN groups. After multivariable logistic regression analysis, age, serum albumin, serum IgA, serum immunoglobulin G, estimated glomerular filtration rate, serum IgA/C3 ratio, and hematuria were found to be independently associated with the presence of IgAN. A backpropagation network model based on the above parameters was constructed and applied to the validation cohorts, revealing a sensitivity of 82.68% and a specificity of 84.78%. The area under the ROC curve for this model was higher than that for logistic regression model (0.881 vs. 0.839). The artificial neural network model based on routine markers can be a valuable noninvasive tool for predicting IgAN in screening practice.
Health risk assessment of polycyclic aromatic hydrocarbons in individuals living near restaurants: a cross-sectional study in Shiraz, Iran
Authors: Shamsedini Narges , Dehghani Mansooreh , Samaei Mohammadreza , Azhdarpoor Aboolfazl , Hoseini Mohammad , Fararouei Mohammad , Bahrany Shayan , Roosta Sareh 
Published: May 2022

AbstractPolycyclic aromatic hydrocarbons (PAHs) are persistent toxic substances that have ubiquitous presence in water, air, soil, and sediment environments, posing serious environmental risks. The present study aimed to investigate the concentrations of urinary PAHs and their health effects in individuals living near restaurants via a health risk assessment analysis. This cross-sectional study was performed on 57 people living near restaurants and 30 individuals as the control group. Five urinary metabolites of PAHs were monitored. In order to evaluate the effects of the urinary metabolites of PAHs on Malondialdehyde (MDA) concentration, Total Anti-oxidation Capacity (TAC) in urine samples, and C-Reactive Protein (CRP) in serum samples, regression model was used by considering the effects of the possible confounding factors. Non-carcinogenic health risk was calculated, as well. The median concentration of urinary PAHs was 1196.70 and 627.54 ng/g creatinine in the people living near restaurants and the control group, respectively. Among the metabolites, the lowest and highest mean concentrations were related to 9-OHPhe and 1-OHP, respectively in the two study groups. Moreover, PAHs were significantly associated with MDA level and TAC (p < 0.05). Hazard Quotient (HQ) and Hazard Index (HI) were less than 1. Long-term studies are required to determine the actual health effects by identifying the sources of PAHs emission and to find ways to decrease the production of these compounds.
Results of screening in early and advanced thoracic malignancies in the EORTC pan-European SPECTAlung platform
Authors: Morfouace M. , Novello S. , Stevovic A. , Dooms C. , Janžič U. , Berghmans T. , Dziadziuszko R. , Gorlia T. , Felip E. , Paz-Ares L. , Mazieres J. , O’Brien M. , Bironzo P. , Vansteenkiste J. , Lacroix L. , Dingemans A. C. , Golfinopoulos V. , Besse B. 
Published: May 2022

AbstractAccess to a comprehensive molecular alteration screening is patchy in Europe and quality of the molecular analysis varies. SPECTAlung was created in 2015 as a pan-European screening platform for patients with thoracic malignancies. Here we report the results of almost 4 years of prospective molecular screening of patients with thoracic malignancies, in terms of quality of the program and molecular alterations identified. Patients with thoracic malignancies at any stage of disease were recruited in SPECTAlung, from June 2015 to May 2019, in 7 different countries. Molecular tumour boards were organised monthly to discuss patients’ molecular and clinical profile and possible biomarker-driven treatments, including clinical trial options. FFPE material was collected and analysed for 576 patients with diagnosis of pleural, lung, or thymic malignancies. Ultimately, 539 patients were eligible (93.6%) and 528 patients were assessable (91.7%). The turn-around time for report generation and molecular tumour board was 214 days (median). Targetable molecular alterations were observed in almost 20% of cases, but treatment adaptation was low (3% of patients). SPECTAlung showed the feasibility of a pan-European screening platform. One fifth of the patients had a targetable molecular alteration. Some operational issues were discovered and adapted to improve efficiency.