Protein language models (PLMs) play a dominant role in protein representation learning. Most existing PLMs regard proteins as sequences of 20 natural amino acids. The problem with this method is that it simply divides the sequence into individual acids, ignoring fact certain residues often occur together. Therefore, inappropriate to view acids isolated tokens. Instead, should recognize frequently occurring combinations single token. In study, we use byte-pair-encoding algorithm and unigram...

Code summarization aims to generate code summaries automatically, and has attracted a lot of research interest lately. Recent approaches it commonly adopt neural machine translation techniques, which train Seq2Seq model on large corpus assume could work various new snippets. However, codes are highly varied in practice due different domains, businesses or programming styles. Therefore, is challenging learn such variety patterns into single model. In this paper, we propose brand-new framework...

Community smells appear in sub-optimal software development community structures, causing unforeseen additional project costs, e.g., lower productivity and more technical debt. Previous studies analyzed predicted the granularity of sub-groups using socio-technical factors. However, refactoring such requires effort developers individually. To eliminate them, supportive measures for every developer should be constructed according to their motifs working states. Recent work revealed developers'...

The Prototheca alga is the only chlorophyte known to be involved in a series of clinically relevant opportunistic infections humans and animals, namely, protothecosis. Most pathogenic cases are caused by wickerhamii . In order investigate evolution genetic basis for its pathogenicity, genomes two P. strains S1 S931 were sequenced using Nanopore long-read Illumina short-read technologies. mitochondrial, plastid, nuclear assembled annotated including transcriptomic data set. genome size was...

Cryptococcosis is an opportunistic and potentially lethal infection caused by Cryptococcus neoformans gattii complex, which affects both immunocompromised immunocompetent people, it has become a major public health concern worldwide. In this study, we characterized the molecular epidemiology antifungal susceptibility of 133 C. isolates from East China Invasive Fungal Infection Group (ECIFIG), 2017–2020. Isolates were identified to species level matrix-assisted laser desorption...

Trajectory similarity search plays an essential role in autonomous driving, as it enables vehicles to analyze the information and characteristics of different trajectories make informed decisions navigate safely dynamic environments. Existing work on trajectory task primarily utilizes sequence-processing algorithms or Recurrent Neural Networks (RNNs), which suffer from inevitable issues complicated architecture heavy training costs. Considering intricate connections between trajectories,...

Summary Natural language summaries of source codes are important during software development and maintenance. Recently, deep learning based models have achieved good performance on the task automatic code summarization, which encode token sequence or abstract syntax tree (AST) with neural networks. However, there has been little work efficient combination lexical syntactical information for better summarization quality. In this paper, we propose two general effective approaches to leveraging...

Semi-quantum secret sharing is an important research issue in quantum cryptography. In this paper, we propose a ( t , n ) threshold semi-quantum protocol, which combines the practicality of protocols and flexibility protocols. Participants prepare transmit single particles circular way, then any out participants can recover according to Shamir’s scheme. As resources, are easy prepare. Furthermore, classical only need possess capability insert particles. The security analysis shows our...

In this article, an analytical model for the total-ionizing-dose (TID) radiation-induced electric field redistribution (RIER) in drift region is established based on Poisson equation, which explains "slow-fast-slow" degradation trend of breakdown voltage (BV) shield gate trench metal-oxide-semiconductor effect transistor (SGT MOSFET) with increase radiation dose experiments. Moreover, a new radiation-hardened SGT MOSFET internal modulation (IEM-SGT) concept proposed. The simulation shows...

The present study collected 280 isolates of Cryptococcus neoformans and 22 gattii evaluated the consistencies between Sensititre YeastOne (SYO), VITEK 2, reference broth microdilution (BMD) method for antifungal susceptibility testing fluconazole, voriconazole, flucytosine. For amphotericin B, SYO was replaced with BIO KONT B microbroth dilution kit. essential agreements (EAs) by 2 C. var. grubii were 98.15-99.63% 88.89-100%, respectively, EA VG Ⅰ against fluconazole 29.41% while other EAs...

With a rapid growth of vehicles in modern cities, searching for parking space becomes difficult drivers especially rush hours. To alleviate difficulties and make the most urban resources, contract sharing services allow to pay under consent owners, reaching win-win situation. Contract services, however, have not yet been prevailingly adopted due dynamic time which leads uncertainties sharing. Thanks Internet things technique, lots record vehicles' fine-grained data including entry exit...

Software stakeholders report bugs in Issue Tracking System (ITS) with manually labeled priorities. However, the lack of knowledge and standard for prioritization may cause to mislabel In response, priority predictors are actively developed support them. Prior studies trained machine learners based on textual similarity, categorical, numeric technical features bug reports. Most models were validated by time-insensitive approaches, they producing sub-optimal results practical usage. Moreover,...

To ensure software reliability, defect prediction (SDP) techniques are employed to help developers effectively allocate the testing resources. Recently, researchers utilized deep learning models extract semantic features from abstract syntax tree (AST) of source code which showed a better performance over metric-based methods. However, existing file-level SDP representing AST as flattened sequence could jeopardize preservation long-term dependency. In this paper, we propose new Defect...