Pretrained language models such as BERT have been shown to be exceptionally effective for text ranking. However, there are limited studies on how leverage more powerful sequence-to-sequence T5. Existing attempts usually formulate ranking a classification problem and rely postprocessing obtain ranked list. In this paper, we propose RankT5 study two T5-based model structures, an encoder-decoder encoder-only one, so that they not only can directly output scores each query-document pair, but...

The high-value-added and resourceful reuse of solid waste is regarded as a promising technological approach within the construction industry, playing vital role in advancing sustainable development ecological civilization. In this study, VOSviewer CiteSpace were utilized to systematically perform bibliometric analysis research related reutilization sector, using data from Web Science Core Collection Scopus databases. focused on publication volume over last decade, global collaboration...

Feature selection plays a very significant role for the success of pattern recognition and data mining. Based on maximal relevance minimal redundancy (mRMR) method, combined with feature subset, this paper proposes an improved (ImRMR) method based subset. In ImRMR, Pearson correlation coefficient mutual information are first used to measure single sample category, factor is introduced adjust weights two measurement criteria. And equal grouping exploited generate candidate subsets according...

Practicing engineers and undergraduate engineering technology students seek use information differently within the research design process. This paper presents results of a survey conducted by librarians at Purdue University specialists Caterpillar Inc. to analyze self-reported habits challenges both user populations. The authors created surveys containing similar questions for each group, using framework that asked participants think about their needs during recent project. discerned users'...

Abstract Pine nuts are not only the important agent of pine reproduction and afforestation, but also commonly consumed nut with high nutritive values. However, it is difficult to distinguish among due morphological similarity species. Therefore, improve quality solve adulteration problem quickly non-destructively. In this study, seven ( Pinus bungeana , yunnanensis thunbergii armandii massoniana elliottii taiwanensis ) were used as study 210 near-infrared (NIR) spectra collected from species...

In this paper we explore the effects of negative sampling in dual encoder models used to retrieve passages for automatic question answering. We four strategies that complement straightforward random negatives, typically train models. Out strategies, three are based on retrieval and one heuristics. Our retrieval-based semantic similarity lexical overlap between questions passages. two stages: pre-training with synthetic data fine tuning domain-specific data. apply both stages. The approach is...

In the context of neural passage retrieval, we study three promising techniques: synthetic data generation, negative sampling, and fusion. We systematically investigate how these techniques contribute to performance retrieval system they complement each other. propose a multi-stage framework comprising pre-training with data, fine-tuning labeled sampling at both stages. six strategies apply them stage and, as noteworthy novelty, that use for pre-training. Also, explore fusion methods combine...

Abstract The traditional practice teaching mode of Weft‐knitting Engineering leads to unsatisfactory outcomes due the lack hardware in laboratory and security issue knitting mill. This paper presents a 3D virtual learning system based on Unreal Engine 4. technological design weft‐knitted fabrics including automatic jacquard pattern transformation pattern, notation, needle set‐out, cams arrangement is realized through establishment mathematical model algorithm Corresponding cam configuration...

Birdsongs are highly valuable for bird studies as they provide insights into various aspects such species distribution, population structures, and habitat. Recognizing birdsongs plays a crucial role in conservation efforts. However, manually collecting large number of from the natural environment is expensive time-consuming. Moreover, using limited birdsong data often results low classification accuracy models. To better identification birdsongs, we utilize wavelet transform(WT) to convert...

Birds play a vital and indispensable role in biodiversity environmental conservation. Protecting bird diversity is crucial for maintaining the balance of nature, promoting ecosystem health, ensuring sustainable development. The Broad Learning System (BLS) exhibits an excellent ability to extract highly discriminative features from raw inputs construct complex feature representations by combining nodes enhancement nodes, thereby enabling effective recognition classification various birdsongs....

Purpose Extensible Markup Language (XML)‐based data integration systems (DIS) aim to support global updates. Data consistency among sources is not yet enforced at the level or in an ad hoc manner which leads redundant checking of unrepairable mistakes. This paper aims provide XQuery trigger service enforce integrity and DIS level. Design/methodology/approach through providing for XML‐DIS. An model defined shown how use this define different constraints triggers The proposes architecture...

The goal of this research category work-in-progress study is to investigate the information literacy needs and expectations employers who hire new engineering technology graduates, through content analysis job postings. It seeks answer two questions: (1) Which sources do expect graduates know use on (2) in what ways are hires expected interact with information?A collection 1502 entry-level postings aimed at undergraduate students was gathered from a university career center database for time...

Nowadays XML-based data integration systems are accepted as service providers on the web. In order to make such a system fully equipped with manipulation capabilities, programming frameworks which support update at level being developed. When user is permitted submit updates, it necessary establish best possible consistency in whole system. To that extend, we present an approach based XQuery trigger service. We define model together its semantics. report of into overall architecture and...

<title>Abstract</title> Recent advancements in audio signal processing and pattern recognition have made bird vocalization classification a key focus bioacoustic research. The success of automated birdsong largely depends on denoising feature extraction. This paper introduces two novel methods, namely improved adaptive wavelet threshold (IAwthr) bidirectional Mel-filter bank (BiFBank), which aim to overcome the limitations traditional methods. IAwthr achieves optimization through...

Decoding the directional focus of an attended speaker from listeners' electroencephalogram (EEG) signals is essential for developing brain-computer interfaces to improve quality life individuals with hearing impairment. Previous works have concentrated on binary decoding, i.e., determining whether left or right side listener. However, a more precise decoding exact direction necessary effective speech processing. Additionally, audio spatial information has not been effectively leveraged,...

Social and economic development increasingly relies on education technology, posing new requirements for the of education. China implements strategy revitalizing country through science education, continuously deepens educational reform. In physics teaching, it is required that teaching content be close to life, linked cultivate students' abilities cooperation, exploration, independent thinking. Traditional methods can no longer fully meet current society. By studying traditional in we...

Fir trees account for about a quarter of the country's building materials. grow quickly, and have certain economic, social, ecological other benefits. Different fir require different growth environments, so it is necessary to accurately identify seeds cultivate them more specifically, as maximize various benefits trees. In this paper, six kinds seeds, namely Abies fabri, Cryptomeria japonica, Metasequoia glyptostroboides, Cathaya argyrophylla, Keteleeria fortune, Picea asperata, were used...

Folk music is an art form that expresses human emotions and carries rich deep meanings. The classification of folk helps to understand the history culture nation. Most speech signal processing based on traditional Mel-frequency cepstral coefficient (MFCC) features. This method has problem single feature module, which causes problems such as poor accuracy recognition. Targeting study music, this paper Hilbert-huang transform (HHT) extract HHT-MFCC features combined MFCC obtain MFCC_HHT-MFCC....