42,224 research outputs found
Effect of creep ageing on the corrosion behaviour of an Al-Cu-Li alloy
No full textCreep ageing of Al-Cu-Li alloys induces precipitation of T1(Al2CuLi) and a high fraction of low-angle grain boundaries (LAGBs) and dislocations in grain interior, factors potentially contributing to corrosion. Qualitative/quantitative analysis of precipitates and quasi-in-situ EBSD observations of stress free and stress added alloy reveal that fine dense precipitation of T-1 in grain interior and suppressed precipitation along grain/subgrain-boundary induced by stress adding make the corrosion mode evolve from intergranular to intragranular, and grain orientation displays as the most relevant metallurgical parameter for the localised corrosion although the fraction of LAGBs and dislocations have been greatly improved by stress loading
Effect of non-isothermal creep aging on the microstructure, mechanical properties and stress corrosion cracking resistance of 7075 alloy
No full textThe effect of non-isothermal creep aging (NICA) on the microstructure, mechanical properties, and stress corrosion cracking (SCC) resistance of 7075 alloy was investigated. The results showed that the tensile strength of the alloy increased to 565 MPa when the alloy was heated to 210 °C (CH210) and reached 580 MPa when it was subsequently cooled to 120 °C (CC120). Simultaneously, the SCC susceptibility of rtf increased from 50.8 % to 98.4 %. As compared with traditional creep aging process [1], a large strength increment with excellent stress corrosion resistance have been obtained by NICA. The microstructure revealed that a lot of dislocations have been introduced by creep during the heating stage which could improve the precipitates volume fraction and accelerate the diffusion of solutes; while during the cooling stage, η′ was greatly refined, and GPI and GPⅡ were re-precipitated from the matrix due to the decreased solid solubility and increased critical radius R*; both of them are responsible for the continuous strength increase during NICA. Moreover, the width of the precipitate free zone (PFZ) was narrowed from 46.1 nm (CH210) to 28.6 nm (CC120). The microchemical analysis reveals that solutes were more homogenously distributed in grain boundary precipitates (GB-ppts), matrix precipitates, the PFZ, and the matrix with the help of creep. The narrower PFZ and homogeneous solute distribution are responsible for improving the SCC susceptibility in the CC120 alloy
Assessment of Self-Archiving in Institutional Repositories: Depositorship and Full-Text Availability
No full textThis research evaluates the success of open access self-archiving in several well-known institutional repositories. Two assessment factors have been applied to examine the current practice of self-archiving: depositorship and the availability of full text. This research discovers that the rate of author self-archiving is low and that the majority of documents have been deposited by a librarian or administrative staff. Similarly, the rate of full-text availability is relatively low, except for Australian repositories. By identifying different practices of self-archiving, repository managers can create new strategies for the operation of their repositories and the development of archiving policies
Machine-learning-enabled optimization and online monitoring for efficient and high-quality smart drying
No full textDrying is an important process in the food industry that plays a critical role in both food production and preservation. Industrial scale drying processes and systems involve multiple interacting process parameters, conflicting production objectives, and highly uncertain sample characteristics, which make process control extremely challenging. Current industrial practice lacks the necessary decision-making tools to simultaneously achieve high energy efficiency and food quality. To address these challenges, this dissertation develops a suite of machine-learning-based process control tools to enable smart drying with improved process efficiency and product quality. The contributions of this dissertation are summarized as follows.
It is important to devise a drying strategy to optimize drying efficiency, energy consumption, and product quality, especially under intricate input-output relationships with process uncertainties. Chapter 2 develops an uncertainty-aware, machine-learning-based response surface methodology for apple drying. New drying experiments are designed to resemble industrial practice with variable slice thickness. Variable-response relationships are modeled using machine learning models; Monte Carlo simulations are applied to quantify process uncertainties; and a constrained optimization approach identifies feasible design spaces and optimal parameter combinations. The proposed method achieves a 17.9% energy savings and a 19.0% reduction in drying time.
Physical phenomena in drying can be measured by heterogeneous data modalities, with each carrying unique and complementary information. Effectively leveraging multi-modal data is essential for improving the performance of predictive modeling but remains challenging. Chapter 3 develops a multi-modal data fusion framework for accurately predicting final moisture content in apple drying. Tabular data and high-dimensional images are integrated through an encoder-decoder network to capture both process conditions and sample variability. Experimental results demonstrate predictive accuracy improvements of 19.3%, 24.2%, and 15.2% compared to tabular-only, image-only, and standard data fusion models, respectively. It is also shown that the proposed method is robust to varying modality ratios and can effectively capture process variabilities.
Accurate real-time forecasting of the drying readiness (the optimal drying endpoint) is crucial for minimizing energy consumption and ensuring product quality. Chapter 4 presents a multi-modal fusion framework for online cookie drying readiness prediction. The model integrates in-situ video data and tabular process parameters using modality-specific encoders and a transformer-based decoder. The proposed model achieves a 15-second average prediction error, outperforming the state-of-the-art method by 65.7%, while balancing accuracy, model size, and efficiency. The framework is extensible to various other modality fusion tasks for effective online monitoring.
Dynamic changes in food attributes during drying directly reflect product quality, and accurately predicting the trajectories of these attributes provides valuable insights into determining optimal drying conditions. Chapter 5 develops a data-driven approach for zero-shot prediction of surface color trajectories during food drying. The method learns component function parameters to represent color evolution under unseen conditions, with DCT preprocessing and enhanced by multi-modal data fusion and similarity- informed training selection. The method is validated on two case studies: cookie and apple drying, significantly outperforming baseline models by 93.2% and 87.30%, respectively.Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2026-02-19 without embargo termsThe student, Shichen Li, accepted the attached license on 2025-08-18 at 14:01.The student, Shichen Li, submitted this Dissertation for approval on 2025-08-18 at 14:43.This Dissertation was approved for publication on 2025-08-18 at 16:11.DSpace SAF Submission Ingestion Package generated from Vireo submission #22763 on 2026-02-19 at 18:24:0
Information Literacy and Librarian-Faculty Collaboration: A Model for Success:
No full textIn the age of information explosion and technological advancement, issues of information storage, organization, access, and evaluation have become necessarily important in our societies. Addressing issues of information literacy and designing how they can be best integrated in students' learning process are of critical importance. Library professionals in the United States, particularly in the academia, have realized the importance of information literacy and have attempted in various ways to address these issues. The ultimate goal is to make information literacy an integral part of the academic curriculum, thus helping students to succeed not only during their years in college but also for their lifelong career choices. This article will look at ways of how information literacy can best be incorporated into students' academic experience, and how this process can make students' learning meaningful and successful. Specifically, the author will examine the model of librarian-faculty collaboration in integrating information literacy into the curriculum, as demonstrated in the Ohio Five Colleges' Information Literacy Program.Publisher version of this article is available at: http://www.white-clouds.com/iclc/cliej/cl24.ht
Factors to Assess Self-Archiving in Institutional Repositories
No full textThis paper proposes a group of factors that may be used to assess the success of open access self-archiving. It concentrates on self-archiving in institutional repositories. The authors emphasize the importance of examining content materials, particularly the availability of full text versus abstracts and the deposits archived by authors versus by others.Peer reviewe
Applying the NISO Metasearch Initiative Scheme to Enhance E-Resources Management at Rutgers University Library
No full textThis paper discusses problems in the management of library e-resources and attempts to identify potential solutions to the problems. By describing an e-resources enhancement project taken by Rutgers University Libraries, this paper points to the importance of providing contextually-rich metadata and reorganizing the accessibility of e-resources on a library’s website. It introduces how this Rutgers project adopted the National Information Standards Organization Metasearch Initiative to support the identification of appropriate e-collections for metaseaching. The outcomes of the project have facilitated a dynamic display of relevant e-resources to library users as an effective way of automatic access to library e-collections.Peer reviewe
A Metadata Manager's Role in Collaborative Projects: The Rutgers University Libraries Experience
No full textPurpose – This article discusses the roles and responsibilities of a metadata manager in collaborative digital projects.
Methodology – It describes the general requirements for metadata management, and introduces some scenarios in the practices of digital projects by the Rutgers University Libraries to support the generalized definition. A workflow of metadata management is illustrated.
Practical implications – With an explicit definition of the roles and responsibilities of the metadata manager, many other digital libraries that need to develop a new or optimize the existing workflow may find the Rutgers experience useful as reference.
Originality – Very few articles have explored this topic although the functions of metadata in the development of digital projects have been talked extensively.Peer reviewe
Macropsis zizhongi Li, Dai et Li
No full textMacropsis zizhongi Li, Dai et Li, nom. nov. Macropsis gracilis Li et Liang, 2005: 578 –579, nom. preocc. (nec Macropsis gracilis Dubovskiy, 1966: 97) Distribution. China (Heilongjiang prov.). Etymology. The species is named in honour of Prof. Li Zizhong, the first author of the original species name.Published as part of Li, Hu, Dai, Ren-Huai, Li, Zi-Zhong & Yu, Dmitri, 2012, Taxonomic study of Chinese species of the genus Macropsis (Hemiptera: Cicadellidae: Macropsinae): new species, new records, synonymy and replacement name, pp. 41-62 in Zootaxa 3420 on page 61, DOI: 10.5281/zenodo.21216
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