bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cepharanthine: A Promising Old Drug against SARS‐CoV‐2
Authors: Fan Huahao , He Shi‐ting , Han Pengjun , Hong Bixia , Liu Ke , Li Maochen , Wang Shuqi , Tong Yigang 
Published: July 2022

AbstractRecently, the inhibiting effects of a clinically approved drug Cepharanthine on severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) have attracted widespread attention and discussion. However, the public does not understand the relevant research progress very well. This paper aims to introduce a brief history of studies on the effects of cepharanthine against SARS‐CoV‐2, including “discovery of anti‐SARS‐CoV‐2 activity of cepharanthine in vitro”, “potential mechanisms of cepharanthine against SARS‐CoV‐2”, “confirmation of cepharanthine's anti‐SARS‐CoV‐2 activity in vivo”, “potential approaches for improving the druggability of cepharanthine” and “clinical trials of cepharanthine treating SARS‐CoV‐2 infection”. Taken together, cepharanthine is believed to be a promising old drug for coronavirus disease‐19 (COVID‐19) therapy.
Interfacial Exciplex Host to Release Interfacial Accumulated Charges for Highly Efficient and Bright Solution‐Processed White Organic Light‐Emitting Diodes
Authors: Lv Mengmeng , Zhang Wei , Ning Yijun , Jing Wenzhu , Song Dandan , Zhao Suling , Xu Zheng , Fan Ling , Qiao Bo 
Published: July 2022

AbstractWhite organic light‐emitting diodes (WOLEDs) have attracted extensive attention and are considered as an ideal next‐generation lighting source. However, maintaining high efficiency and high color rendering index (CRI) in WOLEDs still faces great challenges. The charges accumulation at the interface leads to nonradiative recombination and further Joule heat, which is a source of efficiency decrease and device degradation. In this paper, the interfacial exciplex is designed as the host for high efficiency; the blue thermally activated delayed fluorescence (TADF) material and the red phosphorescent material are employed as guests for high CRI. Due to the interfacial exciplex host, electrons don't need to overcome the potential barrier to inject into the light‐emitting layer, but can directly compound with holes at the interface, so as to release the interfacial accumulated charges and improve the recombination efficiency of carriers. Also, a suitable energy level gradient for hole injection transmission is constructed. Finally, WOLEDs with a current efficiency of 52.8 cd A−1, an external quantum efficiency of 22.9 %, the Commission Internationale de I'Eclairage (CIE) coordinate of (0.35,0.39), and the high CRI of 80 are obtained, which are the highest values ever achieved by the solution processed WOLEDs based on blue TADF emitters.
Antifouling Surface Coatings from Self‐Assembled Zwitterionic Aramid Amphiphile Nanoribbons
Authors: Christoff‐Tempesta Ty , Deiss‐Yehiely Elad , Dromel Pierre C. , Uliassi Linnaea D. , Chazot Cécile A. C. , Postelnicu Eveline , Hart A. John , Spector Myron , Hammond Paula T. , Ortony Julia H. 
Published: July 2022

AbstractZwitterionic surfaces are increasingly explored as antifouling coatings due to their propensity to resist protein, bacterial, and cell adhesion and are typically applied as polymeric systems. Here, the self‐assembly of strongly interacting small molecule amphiphiles is reported to produce nanoribbons for antifouling applications. Synthesized amphiphiles spontaneously form micrometers‐long nanoribbons with nanometer‐scale cross‐sections and intrinsically display a dense coating of zwitterionic moieties on their surfaces. Substrates coated with nanoribbons demonstrate concentration‐dependent thicknesses and near superhydrophilicity. These surface coatings are then probed for antifouling properties and substantial reductions are demonstrated in protein adsorption, bacterial biofilm formation, and cell adhesion relative to uncoated controls. Harnessing cohesive small molecule self‐assembling nanomaterials for surface coatings offers a facile route to effective antifouling surfaces.
Enhancing Recurrent Droplet Jumping Phenomena on Heterogeneous Surface Designs
Authors: Lee Jonggyu , Won Yoonjin 
Published: July 2022

AbstractCoalescence‐induced droplet jumping phenomena on superhydrophobic surfaces can significantly enhance their heat transfer performances by effectively removing droplets from the surfaces. However, understanding the ideal design for condensing surfaces is still challenging due to the complex nature of droplet dynamics associated with their nucleation, coalescing, and jumping mechanisms. The intrinsic dynamic nature of droplet behaviors suggests the use of hierarchical concave morphology to account for the different length scales associated with each transport phenomenon. The hierarchical morphology thereby enables heterogeneous wetting characteristics by realizing both microscale droplets on superhydrophobic surfaces and nanoscale pinning regions beneath the droplets by arresting liquid residues after droplet jumping. Heat transfer performances are further examined by extracting physically meaningful descriptors, such as nucleation sites, droplet growth rates, and droplet jumping frequency, showing 44% enhancements when droplet nucleation sites are designed in selective locations.
Techniques to Achieve Stretchable Photovoltaic Devices from Physically Non‐Stretchable Devices through Chemical Thinning and Stress‐Releasing Adhesive
Authors: Niu Jing , Zhao Yicong , Li Mengwei , Xiang Hongbiao , Xia Zhiqiang , Ren Miaoning , Gao Peng , Huang Xian 
Published: July 2022

AbstractIntegration of photovoltaic devices on the deformable surfaces of plants and animals is challenging, as most of the photovoltaic devices possess no stretchability which severely restricts the underneath deformable substrates and causes potential delamination of the devices from the substrates due to large shear stress. Here, techniques to achieve stretchable photovoltaic devices through chemically thinning flexible solar cells and intermediate hard–soft transition layers are proposed. The resulting photovoltaic devices are only 25 µm in thickness with a radius of curvature of 1 mm, offering excellent adaptability to leaves and many curved surfaces. The intermediate layer that is based on silicone adhesive with low modulus provides an interface between non‐stretchable photovoltaic devices and deformable substrates, resulting in a stretchability of the overall structures larger than 140%. Key parameters of the photovoltaic device such as open‐circuit voltage, short circuit current, fill factor, and conversion efficiency indicate the excellent performance of thinned devices. Potential applications of ultra‐thin photovoltaic devices in energy harvesting and light intensity sensing on stretchable substrates are demonstrated, suggesting the practical use of the devices in constructing stretchable self‐powered wearable systems for agriculture and healthcare monitoring.
Elucidating Orbital Delocalization Effects on Boosting Electrochemiluminescence Efficiency of Carbon Nitrides
Authors: Fang Yanfeng , Hou Yuhua , Yang Hong , Chen Ran , Li Wang , Ma Jin , Han Dan , Cao Xuwen , Liu Songqin , Shen Yanfei , Zhang Yuanjian 
Published: July 2022

AbstractHighly efficient inter‐conversion of different types of energy is the core of science and technology. Among them, electrochemiluminescence (ECL), an emission of light excited by electrochemical reactions, has drawn attention as a powerful tool across diverse fields in addressing global energy, environment, and health challenges. Nonetheless, the ECL efficiency (ΦECL) of most luminophores in aqueous solutions is low, significantly hampering their broad applications. Along this line, developing ECL luminophores with high ΦECL and understanding the associated intrinsic factors is highly envisioned. Herein, taking carbon nitride (CN) with rigid 2D backbones as an emerging model luminophore, it is reported that the orbital delocalization is a unified and quantifiable factor for its ΦECL. Behind the complicated transformation of molecular structures of cyano‐terminal groups and triazine/heptazine basal frameworks, the orbital delocalization of CN is found to be generally improved at an elevated condensation temperature. Such intrinsic evolution in electronic structure favored the electron injection in excitation and follow‐up photon emission in ECL for CN. As a result, the cathodic ΦECL of CN is remarkably improved to a new milestone of 24‐fold greater than the previous record.
Predicting the Heat of Hydride Formation by Graph Neural Network ‐ Exploring the Structure–Property Relation for Metal Hydrides
Authors: Batalović Katarina , Radaković Jana , Paskaš Mamula Bojana , Kuzmanović Bojana , Medić Ilić Mirjana 
Published: July 2022

AbstractTheoretical tools or structure–property relations that enable the prediction of metal hydrides are of enormous interest in developing new hydrogen storage materials. Density functional theory (DFT) is one such approach that provides accurate hydride formation energies, which, if complemented with vibrational zero‐point energy and other contributions, provides accurate hydride formation enthalpies. However, this approach is time consuming and, therefore, often avoided, hindering the modeling of experimental behavior. The recent implementation of graph neural networks (GNN) in materials science enables fast prediction of crystal formation energy with a DFT accuracy. Starting from the MatErials Graph Network (MEGNet), transfer learning is applied to develop a model for predicting hydride formation enthalpy based on the crystal structure of the starting intermetallic. Excellent accuracy is achieved for Mg‐containing alloys, allowing the screening of the Mg─Ni─M ternary intermetallics. In addition, data containing matching experimental properties and crystal structure of metal hydrides are provided, enabling future development.
A Vis‐SWIR Photonic Synapse with Low Power Consumption Based on WSe2/In2Se3 Ferroelectric Heterostructure
Authors: Li Xuan , Li Shuo , Tang Bin , Liao Jianhui , Chen Qing 
Published: July 2022

AbstractNeuromorphic visual sensory and memory systems that can sense, learn and memorize optical information have great potential in many areas such as image recognition and autonomous driving. However, most current artificial neuromorphic vision technology is suffering from large power consumptions (>100 pJ per switching), high circuitry complexity, and difficulty in miniaturization due to the physical separation of the optic sensing, processing, and memory units. Here, a photonic neuromorphic device based on WSe2/In2Se3 van der Waals (vdW) heterostructure is developed to meet the requirements of high‐performance photonic synapse devices. Owing to the optically controlled ferroelectric polarization switching, the device shows light‐tunable synaptic functions. For the first time, the light‐stimulated synaptic behavior extends from visible light to short‐wavelength infrared region (up to 1800 nm). Taking advantage of the ultra‐low dark current of the heterojunction, the power consumption of the photonic synapse can be as low as 258 fJ per switching under a bias of −0.1 V, comparable to biological synapses. These findings demonstrate a novel photonic synapse, deepen the understanding of light‐controlled polarization switching in semiconducting ferroelectric materials, and open up new application fields in multifunctional electronic and photonic devices based on 2D ferroelectric vdW heterostructures.
Highly Efficient Oxygen Reduction Reaction Electro‐Catalyzed by Ultrasmall Pt@Mn Core‐Shell Nanoparticles
Authors: Ren Shi‐Wen , Wu Zhen‐Yu , Chen Ri‐Le , Zhang Xiao‐Yan , Zhou Wei 
Published: July 2022

AbstractElectro‐catalyzed oxygen reduction reaction (ORR), as the positive electrode reaction, is significant to the performance of fuel cells and metal‐air batteries. Toward ORR, ultra‐small Pt@Mn core‐shell nanoparticles catalysts supported on Ketjen black are synthesized by a simple one‐pot hydrothermal method. TEM results show that the Pt@Mn/C nanoparticles with an average size of 3∼4 nm are uniformly distributed on the carbon surface. ORR performance of the electrocatalysts shows that Pt@Mn/C exhibits better oxygen reduction activity than Pt/C (20 wt %) in a KOH solution. Methanol tolerance ability as well as the durability of the Pt@Mn/C is also superior to the performance of Pt/C, suggesting an enhanced ORR activity upon the introduction of Mn.
Terminal angle constrained time‐varying sliding mode guidance law with autopilot dynamics and input saturation
Authors: Wang Xinxin , Lan Ge , Yang Yefeng , Lu Hongqian , Huang Xianlin 
Published: July 2022

AbstractTo intercept the maneuvering target at a desired terminal angle, this paper presents a time‐varying sliding mode guidance law with consideration of the second‐order autopilot dynamics and input saturation. To achieve the finite‐time interception and satisfactory overload characteristics, a time‐varying sliding mode guidance law is developed, which enables the line‐of‐sight (LOS) angle error to converge into a small neighborhood of the origin at the interception time. An auxiliary system is constructed to reduce the adverse effect generated from the input saturation. Moreover, with the aid of extended state observers, the proposed guidance law requires no information on the target acceleration and the acceleration derivative of the interceptor. The performance of this guidance law is verified via the numerical simulations.
The role of biomass energy consumption and economic complexity on environmental sustainability in G7 economies
Authors: Shahzad Umer , Elheddad Mohamed , Swart Julia , Ghosh Sudeshna , Dogan Buhari 
Published: July 2022

AbstractThis paper empirically examines the effect of biomass energy consumption and economic complexity on environmental sustainability in G7 economies. The current study attempts to report a comprehensive analysis of biomass energy and economic complexity on ecological and carbon footprints and carbon emissions. We employ data from 1990 to 2019 and adopt robust panel econometric techniques that account for the analysis's cross‐sectional dependence. We conduct cointegration analysis, pooled ordinary least squares (OLS), system generalized method of moments (GMM) and conditional quantile model for our empirical analysis. The empirical findings show that both biomass energy consumption and economic complexity are detrimental to the ecological footprint and carbon footprint. Additionally, we find that globalization positively affects the environment, while we find some evidence that bureaucratic quality improves environmental quality. Finally, in line with other research, we find that economic growth has detrimental effects on the environment. Our results suggest that policymakers should be more cautious in promoting biomass as a clean energy source and that the G7 economies should take advantage of their leading position in innovation to invest more in sustainable practices and investment.
4′‐C‐Aminoethoxy‐Modified DNAs Exhibit Increased Nuclease Resistance, Sustained RNase H Activity, and Inhibition of KRAS Gene Expression
Authors: Katsuzaki Yuki , Tsukimura Ryo , Chandela Akash , Chano Tokuhiro , Ueno Yoshihito 
Published: July 2022

AbstractThe linear synthesis of 4′‐C‐aminoethoxy thymidine (AEoT) nucleoside phosphoramidite was accomplished using deoxythymidine as the starting material. This analog was incorporated into several oligonucleotides, the applicability of which as antisense oligonucleotides (ASOs) was then evaluated. The AEoT‐modified DNA/RNA duplex exhibited improved thermal stability compared to unmodified and 4′‐C‐aminoethyl thymidine (4′‐AET) modified heteroduplexes. The serum stability of AEoT‐modified DNA was notably increased by several‐folds compared to that of unmodified DNA. Furthermore, RNase H‐dependent cleavage of the modified‐DNA/RNA hybrids was found to be sustained. In addition, the modified antisense and unmodified oligonucleotides also displayed relatively comparable inhibition of the KRAS gene in human lung cancer cells. This study strengthens our understanding of the potential application of 4′‐C‐aminoethoxy‐modified nucleotides as ASO therapeutics.
Cladosporioles A and B, Two New Indole Derivatives from the Deep‐Sea‐Derived Fungus Cladosporium cladosporioides 170056
Authors: Zou Zheng‐Biao , Chen Liang‐Hua , Hu Man‐Yi , Xu Lin , Hao You‐Jia , Yan Qing‐Xiang , Wang Chao‐Feng , Xie Chun‐Lan , Yang Xian‐Wen 
Published: July 2022

AbstractTwo new (cladosporioles A and B, 1 and 2) and fourteen known (3–16) compounds were isolated from the deep‐sea‐derived fungus Cladosporium cladosporioides 170056. The relative structures of the new compounds were elucidated mainly by detailed analysis of their NMR and HR‐ESI‐MS spectroscopic data. Their absolute configurations were determined by comparison of the experimental and calculated electronic circular dichroism (ECD) spectra. All isolates were tested for antimicrobial activity against Vibrio parahaemolyticus. Compound 15 exhibited weak effect with the MIC value of 156.25 μg/mL.
ChemPlot, a Python Library for Chemical Space Visualization
Authors: Cihan Sorkun Murat , Mullaj Dajt , Koelman J. M. Vianney A. , Er Süleyman 
Published: July 2022

AbstractInvited for this month's cover is the Autonomous Energy Materials Discovery [AMD] Group of Dr. Süleyman Er at DIFFER, and colleagues at CCER and Eindhoven University of Technology (Netherlands). The cover picture shows the ChemPlot‐visualized reduced chemical space of molecules enhanced with two‐dimensional illustrations of molecules. In addition to being easy‐to‐use, free and open source, a noteworthy feature of ChemPlot is the application of tailored similarity for the property‐sensitive visualization of chemical spaces. ChemPlot streamlines the analysis of molecular datasets by reducing the information to human perception level, tackling the activity/property cliff problem, and facilitating the assessment of the applicability domain of machine learning models in molecular studies. Read the full text of their Research Article at 10.1002/cmtd.202200005.
Multi‐objective reliability‐based workflow scheduler: An elastic and persuasive task scheduler based uponmodified‐flowerpollination algorithm in cloud environment
Authors: Miglani Neha , Sharma Gaurav , Khurana Savita 
Published: July 2022

SUMMARYThis research article formulates contemporary approach named multi‐objective reliability‐based workflow scheduler. Numerous strategies have been proposed in the past to prioritize and map the tasks to cloud resources. Though the recent studies lead to efficient solutions however they are restrained in terms of performance due to lack of resource consideration based on utilization rate and reliability index. It is crucial to consider reliability parameter while mapping tasks onto the virtual machines and not just the reliability value, but the cost incurred must also be minimized. To this end, the proposed strategy has been categorized into four modules, (i) scrutiny of reliable VMs, (ii) task ranking, (iii) optimizing the task re‐ordering using flower pollination optimization, and (iv) task mapping onto the VM. It intends to map task onto the most suitable machine in terms of makespan, efficiency, and incurred cost. In the experimental setup, four scientific workflows have been considered namely, LIGO, Genome, Cybershake, and Montage, they have been tested on the proposed approach while making comparison with the existing approaches namely FPA, GWO, and GA. The simulation results justified the claims by allocating resources to the cloudlets efficiently and stabilizing all the aforementioned parameters by attaining performance measures adequately.
Human NK cells responses are enhanced by CD56 engagement
Authors: Picard Lea Katharina , Claus Maren , Fasbender Frank , Watzl Carsten 
Published: July 2022

AbstractNatural Killer (NK) cells are important innate lymphocytes for effective immune responses against intracellular pathogens and tumors. CD56 is a well‐known marker for human NK cells, but there is very limited information about a functional role of this surface receptor. Here, we show that engagement of CD56 can induce NK cell activation resulting in degranulation, IFN‐γ secretion and morphological changes, making CD56 a potential co‐activating receptor in NK cells. Interestingly, this effect was only observed in cytokine pre‐activated and not in freshly isolated human NK cells, demonstrating that NK cell reactivity upon CD56 engagement was dependent on cytokine stimulation. Inhibition of Syk, PI3K, Erk, and src‐family‐kinases impaired CD56‐mediated NK cell stimulation. Finally, we used CRISPR/Cas9 to delete CD56 from primary human NK cells. While this abolished the stimulatory effect of CD56 on pre‐activated NK cells, the cytotoxic activity of NK cells against several tumor target cells was not affected by the absence of CD56. This demonstrates that the stimulating effect of CD56 on pre‐activated NK cells does not have a major impact on their cytotoxic activity, but it may contribute to the function of CD56 as a fungal recognition receptor and in the NK cell developmental synapse.
Elimination of light chain tailing in reducing capillary electrophoresis with sodium dodecyl sulfate analysis of a monoclonal antibody
Authors: Wang Si‐Tao , Gao Han , Shen Bin‐Bin , Wang Haibin , Fang Wei‐Jie 
Published: July 2022

AbstractCapillary electrophoresis with sodium dodecyl sulfate (CE‐SDS) is a common analytical technique for investigating the purity and molecular size heterogeneity of monoclonal antibody (mAb) drugs. In reducing CE‐SDS analysis of mAb‐A, the light chain (LC) peak exhibited severe tailing, seriously affecting the purity analysis. The purposes of this investigation are to clarify the source of tailing and develop a more appropriate CE‐SDS method to eliminate LC tailing. The degree of LC tailing was closely related to the mAb concentration, SDS concentration, and injection amount, and more hydrophobic detergents, such as sodium hexadecyl sulfate (SHS) and sodium tetradecyl sulfate (STS), could be used instead of SDS to obtain better peak shapes. The results also indicated that the tailing was caused by the binding problem associated with SDS, and SHS/STS could provide a more stable and uniform complexation for the LC. In summary, the method we developed successfully eliminated the LC tailing and provided a robust characterization of mAb‐A in reducing CE‐SDS analysis.
How is the medical service efficiency in China? An empirical analysis using stochastic frontier approach and gravity models
Authors: Wen Faguang , Fang Xue , Shan Ang , Khanal Ribesh , Huang Jin 
Published: July 2022

AbstractThe COVID‐19 has heightened the focus of medical services. Scientifically evaluating the efficiency of medical services and defining their spatial transmission relationship is crucial for the rational allocation of health resources and the accomplishment of balanced regional medical service growth. We used a Stochastic Frontier Model to calculate medical service performance in Chinese provinces and the Gravity Model to study the spatial relationship of medical service performance across provinces using data from 2009 to 2018. We discover that: (1) population density and proportion of technical personnel are significantly positively correlated with the efficiency of regional medical services, whereas health institution density has a significantly negative influence. Their respective influence coefficients were 1.717, 0.647, and 0.407. (2) In China, the regional development of medical service efficiency is unbalanced. The east, middle, and west multi‐year average medical service efficiency were 0.65, 0.46, and 0.53, respectively, and their gaps were narrowing; the south and north average efficiency were 0.591, 0.516, respectively, and their gaps were widening. (3) Our medical efficiency network is not yet widespread in the country. Hubei, Henan, Shandong, Jiangsu, Zhejiang, and Beijing were at the centre of the medical efficiency network, driving and connecting the nation's medical service. Our findings offer specific recommendations for better understanding and improving the efficiency of medical services.