28 research outputs found
CATEGORY OF LYRICISM IN THE PROSE OF I.A. BUNIN (LINGUO-POETHICAL ASPECT)
No full textThe article is based on linguistic poetics and devoted to clarifying category of lyricism which forms style of Ivan Alekseyevich Bunin’s prose. In prose of this author appear many features like instance musicality, poetizing of depicted reality, subjectivity, weaken of the narrative, realized by the means of certain phonetic and lexical methods
Kawaguchi-Silverman conjecture on automorphisms of projective threefolds
No full textUnder the framework of dynamics on normal projective varieties by Kawamata,
Nakayama and Zhang \cite{Kawamata85,Nakayama10,NZ09,NZ10,Zhang16}, Hu and the
author \cite{HL21}, we may reduce Kawaguchi-Silverman conjecture for
automorphisms on normal projective threefolds with either the canonical
divisor is trivial or negative Kodaira dimension to the following two
case: (i) is a primitively automorphism of a weak Calabi-Yau threefold (ii)
is a rationally connected threefold. And we prove Kawaguchi-Silverman
conjecture is true for automorphisms of normal projective varieties with
the irregularity . Finally, we discuss Kawaguchi-Silverman
conjecture on normal projective varieties with Picard number two.Comment: 16 pages, thanks the referee for useful comments, accepted by
International Journal of Mathematics. arXiv admin note: text overlap with
arXiv:2208.0261
L-Cysteine-Modified Acacia Gum as a Multifunctional Binder for Lithium-Sulfur Batteries
No full textA binder plays an important role in stabilizing the electrode structure and improving the cyclic stability of batteries. However, the traditional binders are no longer satisfactory in lithium-sulfur (Li-S) batteries because of their failure in accommodating the large volume changes of sulfur and trapping soluble intermediate polysulfides, thus causing severe capacity decay. In this work, we prepared a multifunctional binder for Li-S batteries by merely modifying the acacia gum (AG), a low-cost biomass polymer, with L-cysteine under mild conditions. Owing to the introduced amino and carboxyl branches by the L-cysteine, the modified AG shows enhanced polysulfide trapping ability and can effectively restrain the shuttling of polysulfides. In addition, the introduction of branches can help form a cross-linked 3D network with better mechanical strength and flexibility for adhering sulfur and accommodating the volume changes of cathode materials. As a result, compared with the normally used polyvinylidene fluoride binder and the unmodified AG binder, the L-cysteine-modified AG binder effectively enhanced the rate capability and cycling stability of the Li-S batteries directly using sulfur as the cathode, showing a promising way to prompt the practical use of Li-S batteries
Sodium Chloroacetate Modified Polyethyleneimine/Trimesic Acid Nanofiltration Membrane to Improve Antifouling Performance
No full textNanofiltration (NF) is a separation technology with broad application prospects. Membrane fouling is an important bottleneck-restricting technology development. In the past, we prepared a positively charged polyethyleneimine/trimesic acid (PEI/TMA) NF membrane with excellent performance. Inevitably, it also faces poor resistance to protein contamination. Improving the antifouling ability of the PEI/TMA membrane can be achieved by considering the hydrophilicity and chargeability of the membrane surface. In this work, sodium chloroacetate (ClCH2COONa) is used as a modifier and is grafted onto the membrane surface. Additionally, 0.5% ClCH2COONa and 10 h modification time are the best conditions. Compared with the original membrane (M0, 17.2 L m−2 h−1), the initial flux of the modified membrane (M0-e, 30 L m−2 h−1) was effectively increased. After filtering the bovine albumin (BSA) solution, the original membrane flux dropped by 47% and the modified membrane dropped by 6.2%. The modification greatly improved the antipollution performance of the PEI/TMA membrane
A History-Based Matching Approach to Identification of Framework Evolution
No full textIn practice, it is common that a framework and its client programs evolve simultaneously. Thus, developers of client programs may need to migrate their programs to the new release of the framework when the framework evolves. As framework developers can hardly always guarantee backward compatibility during the evolution of a framework, migration of its client program is often time-consuming and error-prone. To facilitate this migration, researchers have proposed two categories of approaches to identification of framework evolution: operation-based approaches and matching-based approaches. To overcome the main limitations of the two categories of approaches, we propose a novel approach named HiMa, which is based on matching each pair of consecutive revisions recorded in the evolution history of the framework and aggregating revision-level rules to obtain framework-evolution rules. We implemented our HiMa approach as an Eclipse plug-in targeting at frameworks written in Java using SVN as the version-control system. We further performed an experimental study on HiMa together with a state-of-art approach named AURA using six tasks based on three subject Java frameworks. Our experimental results demonstrate that HiMa achieves higher precision and higher recall than AURA in most circumstances and is never inferior to AURA in terms of precision and recall in any circumstances, although HiMa is computationally more costly than AURA.Computer Science, Software EngineeringEngineering, Electrical & ElectronicEICPCI-S(ISTP)
Predicting Scientific Impact Through Diffusion, Conformity, and Contribution Disentanglement
No full textThe scientific impact of academic papers is influenced by intricate factors such as dynamic popularity and inherent contribution. Existing models typically rely on static graphs for citation count estimation, failing to differentiate among its sources. In contrast, we propose distinguishing effects derived from various factors and predicting citation increments as estimated potential impacts within the dynamic context. In this research, we introduce a novel model, DPPDCC, which Disentangles the Potential impacts of Papers into Diffusion, Conformity, and Contribution values. It encodes temporal and structural features within dynamic heterogeneous graphs derived from the citation networks and applies various auxiliary tasks for disentanglement. By emphasizing comparative and co-cited/citing information and aggregating snapshots evolutionarily, DPPDCC captures knowledge flow within the citation network. Afterwards, popularity is outlined by contrasting augmented graphs to extract the essence of citation diffusion and predicting citation accumulation bins for quantitative conformity modeling. Orthogonal constraints ensure distinct modeling of each perspective, preserving the contribution value. To gauge generalization across publication times and replicate the realistic dynamic context, we partition data based on specific time points and retain all samples without strict filtering. Extensive experiments on three datasets validate DPPDCC\u27s superiority over baselines for papers published previously, freshly, and immediately, with further analyses confirming its robustness. Our codes and supplementary materials can be found at https://github.com/ECNU-Text-Computing/DPPDCC.Accepted by CIKM2
