Jiayi Han, Liang Du, Hongwei Du, Xiangguo Zhou, Yiwen Wu, Yuanfang Zhang, Weibo Zheng, Donghong Han. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). 2025.

Being a promising alternative to combustion engines, the polymer electrolyte fuel cell still suffers durability issues. Specifically, the Pt catalyst degrades dramatically during dynamic operating conditions. Here, a Pt degradation model is developed and used to study the effect of accelerated stress test, i.e. electrode potential cycles, on Pt degradation. For triangle wave potential cycles, the ECSA loss rate is independent of a high potential sweep rate. For trapezoidal wave potential cycles with the same cycle duration, the ECSA loss rate is accelerated by a high potential sweep rate. Comparing two types of wave cycles, the trapezoidal cycle better accelerates Pt degradation than the triangle cycle. The effect of trapezoidal cycle duration is also studied. The results show that the ECSA loss rate is independent of the cycle duration, while the Pt mass tends to transport from the catalyst layer to the membrane with a longer cycle duration.

MOTIVATION: Programmed DNA elimination (PDE) plays a crucial role in the transitions between germline and somatic genomes in diverse organisms ranging from unicellular ciliates to multicellular nematodes. However, software specific for the detection of DNA splicing events is scarce. In this paper, we describe Accurate Deletion Finder (ADFinder), an efficient detector of PDEs using high-throughput sequencing data. ADFinder can predict PDEs with relatively low sequencing coverage, detect multiple alternative splicing forms in the same genomic location and calculate the frequency for each splicing event. This software will facilitate research of PDEs and all down-stream analyses. RESULTS: By analyzing genome-wide DNA splicing events in two micronuclear genomes of Oxytricha trifallax and Tetrahymena thermophila, we prove that ADFinder is effective in predicting large scale PDEs. AVAILABILITY AND IMPLEMENTATION: The source codes and manual of ADFinder are available in our GitHub website: https://github.com/weibozheng/ADFinder. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

How to support massively multiplayer online games (MMGs) on the internet has been a hotspot in the industry and research field. With consideration to the scalability and low cost, the peer-to-peer (P2P) system has been expected to support MMGs. The premise of most of the existing P2P-based Communication Models (PCMs) for MMGs is that the network environment is homogeneous. However, we believe that the network's heterogeneity has a significant impact on the latency in network communication. Here, we present a physical-level simulator for PCM, named Pigeon. It is portable for different P2P protocols, communication models and RPG applications. The Pigeon aims to provide a general platform to test the performance of various PCMs on a heterogeneous network. The preliminary experiments on the Pigeon show some valuable results. Index Terms—MMGs, Peer-to-Peer, Heterogeneity, Latency, Physical-level