bluuebunny/crossref_metadata_2025_split huggingface dataset:
Valentin Kruchinin and the Queen of Mars: Early Musical Traces of Soviet Sci-Fi
Authors: McLAUGHLIN HANNAH C. J. 
Published: January 2024

AbstractValentin Kruchinin was the first major ‘Soviet sci-fi’ composer, writing the music for Yakov Protazanov's silent film Aelita: Queen of Mars in 1924. While his score is regrettably lost, evidence of Kruchinin's musical vision for Aelita remains, including a two-page piano piece, ‘Aelita’, seemingly designed to promote the film. Lacking any ‘space-age’ musical tropes, this brief work instead showcases Kruchinin's affection for ‘eccentric dance’. Resembling a slow foxtrot, Kruchinin's piece brings Aelita's cinematic world into contact with ‘light-genre’ popular fare, much of it borrowed from American jazz and maligned by critics for its ‘bourgeois’, ‘Western’ connotations. Within the context of Protazanov's anti-New Economic Policy film, Valentin Kruchinin's ‘Aelita’ comments on both the imperial past and the decadent allure of the Western present.
Characterization of multiple disease resistance in melons (Cucumis melo L.) against Meloidogyne incognita, Fusarium oxysporum and tomato leaf curl Palampur virus
Authors: Dhami Dalvir Singh , Kaur Sukhjeet , Sharma Abhishek , Sharma Sat Pal , Dhillon Narpinderjeet Kaur , Jain Sandeep 
Published: January 2024

AbstractMelon is one of the important cucurbitaceous crops being cultivated widely in India and known for its delicious fruits. Crop is threatened by different biotic stresses including nematodes, fungi and viruses. The use of host resistance is the most economical, eco-compatible and long-lasting strategy to combat plant diseases. Keeping in mind this objective, 64 melon genotypes were screened against the prevalent Meloidogyne incognita, Fusarium oxysporum and tomato leaf curl Palampur virus (ToLCPalV) individually as well as with combined inoculations under artificial conditions. Out of 64 genotypes, three genotypes, MCPS, SM2012-1 and WM11 were found moderately resistant to M. incognita, nine genotypes (MM-KP15103, MM327, MM121103, KP4HM15, MM Sel.-103, SM2013-2, SM2012-1, SM2013-9 and WM11) recorded a resistant reaction against Fusarium wilt while four genotypes, WM11, SM2012-1, SM2013-9 and SM2013-2 exhibited a highly resistant reaction against ToLCPalV. A dendrogram constructed based on the resistance response of all the genotypes divided the genotypes into two groups and all resistant genotypes (MM1804, MM120103, SM2012-1, MM121103, SM2013-2, SM2013-9, WM11 and MM Sel.103) clustered in group II. The resistant genotypes when subjected to simultaneous inoculations of all three pathogens showed an increase in disease severity for each pathogen which negatively altered the resistance response of different genotypes. However, the genotypes SM2012-1, SM2013-9, SM2013-2 and WM-11 showing multiple disease resistance exhibited a good level of resistance even after combined inoculations of three pathogens. This study is the first to our knowledge identifying multiple disease resistance against root-knot nematode, Fusarium wilt and tomato leaf curl Palampur virus in muskmelon.
The effect of accumulated losses on perceptions of legitimacy
Authors: Kern Anna , Marien Sofie , Muradova Lala 
Published: January 2024

AbstractHow do citizens react to repeated losses in politics? This paper argues that experiencing accumulated losses creates strong incentives to externalize responsibility for these losses to the decision-making procedure, which can, in turn, erode legitimacy perceptions among the public. Using a survey experiment (N = 2,146) simulating accumulated losses in a series of direct votes among Irish citizens, we find that decision acceptance and the perceived legitimacy of the decision-making procedure diminish with every loss. Three accumulated losses depress the perceived legitimacy of the political system. These effects are mediated by procedural fairness perceptions, suggesting that even when democratic procedures are used, accumulated losses can induce a belief that the process and system are rigged.
Exposure of Global Rail and Road Infrastructures in Future Record‐Breaking Climate Extremes
Authors: Wang Qianzhi , Liu Kai , Wang Ming , Koks Elco , Wang Haizhong 
Published: January 2024

AbstractTransport infrastructures built on historical experience are expected to face multiple threats under climate change, especially the continuous interruptive losses and additional maintenance costs caused by more intense or frequent record‐breaking extreme climate events. In this study, we investigated the change in the exposure of global rail and road infrastructures to eight record‐breaking meteorological hazards using the latest Coupled Model Intercomparison Project Phase 6 (CMIP6) climate data, including extreme temperature and extreme precipitation. Our findings suggest that higher extreme heat and increasing thaw‐freezing index ratio pose great threats to global rail and road infrastructures. The expected annual exposures of these two hazards are 4 and 2 times the average exposure level of eight hazards, respectively. Moreover, the exposure rapidly increases due to sharply increasing drought and heavy rain compound events as emissions growth and development accelerate, rising from 7% to 18% in eight hazard exposures. Sustainable and lower radiative forcing pathways would contribute to the exposure mitigation, with the peak exposure of eight hazards under the SSP2‐4.5 and SSP1‐2.6 scenarios averaging 29% and 52% lower, respectively, than that under the SSP3‐7.0, which is an extreme scenario we may be on track for under current global efforts. However, the fact that most areas will still be affected by multiple hazards is probably unavoidable. Thus, in parallel with global efforts to reduce greenhouse gas emissions, we recommend that the transport sector incorporate locally appropriate climate change adaptation strategies to avoid losses induced by record‐breaking extreme climate events.
Mountaintop Gamma Ray Observations of Three Terrestrial Gamma‐Ray Flashes at the Säntis Tower, Switzerland With Coincident Radio Waveforms
Authors: Chaffin Jeffrey M. , Smith David M. , Lapierre Jeff , Cummer Steve , Ortberg John , Sunjerga Antonio , Mostajabi Amirhossein , Rubinstein Marcos , Rachidi Farhad 
Published: January 2024

AbstractWe report on the mountain top observation of three terrestrial gamma‐ray flashes (TGFs) that occurred during the summer storm season of 2021. To our knowledge, these are the first TGFs observed in a mountaintop environment and the first published European TGFs observed from the ground. A gamma‐ray sensitive detector was located at the base of the Säntis Tower in Switzerland and observed three unique TGF events with coincident radio sferic data characteristic of TGFs seen from space. We will show an example of a “slow pulse” radio signature (Cummer et al., 2011, https://doi.org/10.1029/2011GL048099; Lu et al., 2011, https://doi.org/10.1029/2010JA016141; Pu et al., 2019, https://doi.org/10.1029/2019GL082743; Pu et al., 2020, https://doi.org/10.1029/2020GL089427), a −EIP (Lyu et al., 2016, https://doi.org/10.1002/2016GL070154; Lyu et al., 2021, https://doi.org/10.1029/2021GL093627; Wada et al., 2020, https://doi.org/10.1029/2019JD031730), and a double peak TGF associated with an extraordinarily powerful and complicated positive‐polarity sferic, where each TGF peak is possibly preceded by a short burst of stepped leader emission.
A CMIP6 Analysis of Past and Future Arctic Winter Stratospheric Temperature Trends
Authors: Bloxam Kevin , Huang Yi 
Published: January 2024

AbstractReanalysis data reveal a weak warming trend in the midwinter Arctic stratosphere, contrary to the cooling expectation based on the greenhouse gas effect. This trend is also influenced by the occurrence of sudden stratospheric warmings (SSWs). Using Phase 6 of the Coupled Model Intercomparison Project (CMIP6) we investigate temperature trends over a similar timescale as ERA5 and find that CMIP6 models can replicate the positive midwinter temperature trend in the mid‐lower stratosphere. However, when considering the multi‐model mean, this positive temperature trend is much weaker than ERA5. Extrapolating to the future, we find that the SSW‐driven positive temperature trend will likely not continue in the future based on the SSP2‐4.5 and SSP5‐8.5 climate scenarios. Instead, the models project there will be widespread cooling throughout the Arctic winter stratosphere regardless of the occurrence of SSWs. Using a subsample of CMIP6 models which replicate the seasonality of the Arctic winter stratosphere most similarly to that of ERA5, we also find that the zonal wind strength during SSWs correlates the most with the temperature trends found there. However, trends in the zonal wind strength alone cannot account for the observed temperature trends among the CMIP6 models.
Powering AI at the edge: A robust, memristor-based binarized neural network with near-memory computing and miniaturized solar cell
Authors: Jebali Fadi , Majumdar Atreya , Turck Clément , Harabi Kamel-Eddine , Faye Mathieu-Coumba , Muhr Eloi , Walder Jean-Pierre , Bilousov Oleksandr , Michaud Amadéo , Vianello Elisa , Hirtzlin Tifenn , Andrieu François , Bocquet Marc , Collin Stéphane , Querlioz Damien , Portal Jean-Michel 
Published: January 2024

AbstractMemristor-based neural networks provide an exceptional energy-efficient platform for artificial intelligence (AI), presenting the possibility of self-powered operation when paired with energy harvesters. However, most memristor-based networks rely on analog in-memory computing, necessitating a stable and precise power supply, which is incompatible with the inherently unstable and unreliable energy harvesters. In this work, we fabricated a robust binarized neural network comprising 32,768 memristors, powered by a miniature wide-bandgap solar cell optimized for edge applications. Our circuit employs a resilient digital near-memory computing approach, featuring complementarily programmed memristors and logic-in-sense-amplifier. This design eliminates the need for compensation or calibration, operating effectively under diverse conditions. Under high illumination, the circuit achieves inference performance comparable to that of a lab bench power supply. In low illumination scenarios, it remains functional with slightly reduced accuracy, seamlessly transitioning to an approximate computing mode. Through image classification neural network simulations, we demonstrate that misclassified images under low illumination are primarily difficult-to-classify cases. Our approach lays the groundwork for self-powered AI and the creation of intelligent sensors for various applications in health, safety, and environment monitoring.
A drug-free cardiovascular stent functionalized with tailored collagen supports in-situ healing of vascular tissues
Authors: Wu Haoshuang , Yang Li , Luo Rifang , Li Li , Zheng Tiantian , Huang Kaiyang , Qin Yumei , Yang Xia , Zhang Xingdong , Wang Yunbing 
Published: January 2024

AbstractDrug-eluting stent implantation suppresses the excessive proliferation of smooth muscle cells to reduce in-stent restenosis. However, the efficacy of drug-eluting stents remains limited due to delayed reendothelialization, impaired intimal remodeling, and potentially increased late restenosis. Here, we show that a drug-free coating formulation functionalized with tailored recombinant humanized type III collagen exerts one-produces-multi effects in response to injured tissue following stent implantation. We demonstrate that the one-produces-multi coating possesses anticoagulation, anti-inflammatory, and intimal hyperplasia suppression properties. We perform transcriptome analysis to indicate that the drug-free coating favors the endothelialization process and induces the conversion of smooth muscle cells to a contractile phenotype. We find that compared to drug-eluting stents, our drug-free stent reduces in-stent restenosis in rabbit and porcine models and improves vascular neointimal healing in a rabbit model. Collectively, the one-produces-multi drug-free system represents a promising strategy for the next-generation of stents.
Life-history stage determines the diet of ectoparasitic mites on their honey bee hosts
Authors: Han Bin , Wu Jiangli , Wei Qiaohong , Liu Fengying , Cui Lihong , Rueppell Olav , Xu Shufa 
Published: January 2024

AbstractEctoparasitic mites of the genera Varroa and Tropilaelaps have evolved to exclusively exploit honey bees as food sources during alternating dispersal and reproductive life history stages. Here we show that the primary food source utilized by Varroa destructor depends on the host life history stage. While feeding on adult bees, dispersing V. destructor feed on the abdominal membranes to access to the fat body as reported previously. However, when V. destructor feed on honey bee pupae during their reproductive stage, they primarily consume hemolymph, indicated by wound analysis, preferential transfer of biostains, and a proteomic comparison between parasite and host tissues. Biostaining and proteomic results were paralleled by corresponding findings in Tropilaelaps mercedesae, a mite that only feeds on brood and has a strongly reduced dispersal stage. Metabolomic profiling of V. destructor corroborates differences between the diet of the dispersing adults and reproductive foundresses. The proteome and metabolome differences between reproductive and dispersing V. destructor suggest that the hemolymph diet coincides with amino acid metabolism and protein synthesis in the foundresses while the metabolism of non-reproductive adults is tuned to lipid metabolism. Thus, we demonstrate within-host dietary specialization of ectoparasitic mites that coincides with life history of hosts and parasites.
Pulse irradiation synthesis of metal chalcogenides on flexible substrates for enhanced photothermoelectric performance
Authors: Zhang Yuxuan , Meng You , Wang Liqiang , Lan Changyong , Quan Quan , Wang Wei , Lai Zhengxun , Wang Weijun , Li Yezhan , Yin Di , Li Dengji , Xie Pengshan , Chen Dong , Yang Zhe , Yip SenPo , Lu Yang , Wong Chun-Yuen , Ho Johnny C. 
Published: January 2024

AbstractHigh synthesis temperatures and specific growth substrates are typically required to obtain crystalline or oriented inorganic functional thin films, posing a significant challenge for their utilization in large-scale, low-cost (opto-)electronic applications on conventional flexible substrates. Here, we explore a pulse irradiation synthesis (PIS) to prepare thermoelectric metal chalcogenide (e.g., Bi2Se3, SnSe2, and Bi2Te3) films on multiple polymeric substrates. The self-propagating combustion process enables PIS to achieve a synthesis temperature as low as 150 °C, with an ultrafast reaction completed within one second. Beyond the photothermoelectric (PTE) property, the thermal coupling between polymeric substrates and bismuth selenide films is also examined to enhance the PTE performance, resulting in a responsivity of 71.9 V/W and a response time of less than 50 ms at 1550 nm, surpassing most of its counterparts. This PIS platform offers a promising route for realizing flexible PTE or thermoelectric devices in an energy-, time-, and cost-efficient manner.
Effective electrical manipulation of a topological antiferromagnet by orbital torques
Authors: Zheng Zhenyi , Zeng Tao , Zhao Tieyang , Shi Shu , Ren Lizhu , Zhang Tongtong , Jia Lanxin , Gu Youdi , Xiao Rui , Zhou Hengan , Zhang Qihan , Lu Jiaqi , Wang Guilei , Zhao Chao , Li Huihui , Tay Beng Kang , Chen Jingsheng 
Published: January 2024

AbstractThe electrical control of the non-trivial topology in Weyl antiferromagnets is of great interest for the development of next-generation spintronic devices. Recent studies suggest that the spin Hall effect can switch the topological antiferromagnetic order. However, the switching efficiency remains relatively low. Here, we demonstrate the effective manipulation of antiferromagnetic order in the Weyl semimetal Mn3Sn using orbital torques originating from either metal Mn or oxide CuOx. Although Mn3Sn can convert orbital current to spin current on its own, we find that inserting a heavy metal layer, such as Pt, of appropriate thickness can effectively reduce the critical switching current density by one order of magnitude. In addition, we show that the memristor-like switching behaviour of Mn3Sn can mimic the potentiation and depression processes of a synapse with high linearity—which may be beneficial for constructing accurate artificial neural networks. Our work paves a way for manipulating the topological antiferromagnetic order and may inspire more high-performance antiferromagnetic functional devices.
Clinical and molecular epidemiology of enterovirus D68 from 2013 to 2020 in Shanghai
Authors: Li Fei , Lu Rou-jian , Zhang Yu-han , Shi Peng , Ao Yuan-yun , Cao Lin-feng , Zhang Yu-lan , Tan Wen-jie , Shen Jun 
Published: January 2024

AbstractEnterovirus D68 (EV-D68) is an emerging pathogen that has caused outbreaks of severe respiratory disease worldwide, especially in children. We aim to investigate the prevalence and genetic characteristics of EV-D68 in children from Shanghai. Nasopharyngeal swab or bronchoalveolar lavage fluid samples collected from children hospitalized with community-acquired pneumonia were screened for EV-D68. Nine of 3997 samples were EV-D68-positive. Seven of nine positive samples were sequenced and submitted to GenBank. Based on partial polyprotein gene (3D) or complete sequence analysis, we found the seven strains belong to different clades and subclades, including three D1 (detected in 2013 and 2014), one D2 (2013), one D3 (2019), and two B3 (2014 and 2018). Overall, we show different clades and subclades of EV-D68 spread with low positive rates (0.2%) among children in Shanghai between 2013 and 2020. Amino acid mutations were found in the epitopes of the VP1 BC and DE loops and C-terminus; similarity analysis provided evidence for recombination as an important mechanism of genomic diversification. Both single nucleotide mutations and recombination play a role in evolution of EV-D68. Genetic instability within these clinical strains may indicate large outbreaks could occur following cumulative mutations.
Methodology of generation of CFD meshes and 4D shape reconstruction of coronary arteries from patient-specific dynamic CT
Authors: Psiuk-Maksymowicz Krzysztof , Borys Damian , Melka Bartlomiej , Gracka Maria , Adamczyk Wojciech P. , Rojczyk Marek , Wasilewski Jaroslaw , Głowacki Jan , Kruk Mariusz , Nowak Marcin , Ostrowski Ziemowit , Bialecki Ryszard A. 
Published: January 2024

AbstractDue to the difficulties in retrieving both the time-dependent shapes of the vessels and the generation of numerical meshes for such cases, most of the simulations of blood flow in the cardiac arteries use static geometry. The article describes a methodology for generating a sequence of time-dependent 3D shapes based on images of different resolutions and qualities acquired from ECG-gated coronary artery CT angiography. The precision of the shape restoration method has been validated using an independent technique. The original proposed approach also generates for each of the retrieved vessel shapes a numerical mesh of the same topology (connectivity matrix), greatly simplifying the CFD blood flow simulations. This feature is of significant importance in practical CFD simulations, as it gives the possibility of using the mesh-morphing utility, minimizing the computation time and the need of interpolation between boundary meshes at subsequent time instants. The developed technique can be applied to generate numerical meshes in arteries and other organs whose shapes change over time. It is applicable to medical images produced by other than angio-CT modalities.
An innovative machine learning based on feed-forward artificial neural network and equilibrium optimization for predicting solar irradiance
Authors: Xu Ting , Sabzalian Mohammad Hosein , Hammoud Ahmad , Tahami Hamed , Gholami Ali , Lee Sangkeum 
Published: January 2024

AbstractAs is known, having a reliable analysis of energy sources is an important task toward sustainable development. Solar energy is one of the most advantageous types of renewable energy. Compared to fossil fuels, it is cleaner, freely available, and can be directly exploited for electricity. Therefore, this study is concerned with suggesting novel hybrid models for improving the forecast of Solar Irradiance (IS). First, a predictive model, namely Feed-Forward Artificial Neural Network (FFANN) forms the non-linear contribution between the ISand dominant meteorological and temporal parameters (including humidity, temperature, pressure, cloud coverage, speed and direction of wind, month, day, and hour). Then, this framework is optimized using several metaheuristic algorithms to create hybrid models for predicting the IS. According to the accuracy assessments, metaheuristic algorithms attained satisfying training for the FFANN by using 80% of the data. Moreover, applying the trained models to the remaining 20% proved their high proficiency in forecasting the ISin unseen environmental circumstances. A comparison among the optimizers revealed that Equilibrium Optimization (EO) could achieve a higher accuracy than Wind-Driven Optimization (WDO), Optics Inspired Optimization (OIO), and Social Spider Algorithm (SOSA). In another phase of this study, Principal Component Analysis (PCA) is applied to identify the most contributive meteorological and temporal factors. The PCA results can be used to optimize the problem dimension, as well as to suggest effective real-world measures for improving solar energy production. Lastly, the EO-based solution is yielded in the form of an explicit formula for a more convenient estimation of the IS.
Protein interaction networks characterizing the A549 cells Klotho transfected are associated with activated pro-apoptotic Bim and suppressed Wnt/β-catenin signaling pathway
Authors: Matsumoto Mitsuo , Ogawa Naomi , Fukuda Tetsuya , Bando Yasuhiko , Nishimura Toshihide , Usuda Jitsuo 
Published: January 2024

AbstractInvasive assays and lung tumor-bearing mice models using a human lung adenocarcinoma cell line A549 cells transfected with the Klotho (KL) gene, A549/KL cells, have confirmed that KL suppresses invasive/metastatic potential. This study aimed to identify the co-expression protein networks and proteomic profiles associated with A549/KL cells to understand how Klotho protein expression affects molecular networks associated with lung carcinoma malignancy. A two-step application of a weighted network correlation analysis to the cells’ quantitative proteome datasets of a total of 6,994 proteins, identified by mass spectrometry-based proteomic analysis with data-independent acquisition (DIA), identified one network module as most significantly associated with the A549/KL trait. Upstream analyses, confirmed by western blot, implicated the pro-apoptotic Bim (Bcl-2-like protein 11) as a master regulator of molecular networks affected by Klotho. GeneMANIA interaction networks and quantitative proteome data implicated that Klotho interacts with two signaling axes: negatively with the Wnt/β-catenin axis, and positively by activating Bim. Our findings might contribute to the development of future therapeutic strategies.