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Articles 901 - 930 of 18468
Full-Text Articles in Entire DC Network
Relational Resources: Moving From Plural To Entangled Extractivisms, James Alejandro Artiga-Purcell
Relational Resources: Moving From Plural To Entangled Extractivisms, James Alejandro Artiga-Purcell
Faculty Research, Scholarly, and Creative Activity
Increasing studies of extractivisms, in the plural, examine the diverse politics that permeate extractive activities. However useful, this appeal to plurality is problematic. Plurality without relationality risks justifying some extractive activities over others, without addressing how they relate. Drawing on anti-essentialist, decolonial, and political ecological scholarship, this article proposes an ontological reframing of extractivisms that troubles the division and comparison that pervade notions of taxonomic plurality, and emphasizes the mutual constitution articulated within the concept of relationality. Analyses of relational resources are better equipped to illuminate the power-laden associations through which supposedly distinct commodity values, extractive geographies, sectors, and governance …
Techstreet Enterprise, Yuqi He
Techstreet Enterprise, Yuqi He
Faculty Research, Scholarly, and Creative Activity
Techstreet Enterprise is a subscription-based platform dedicated to industry codes and standards, offering users online access to complete standards documents in PDF format. Delving into its features and functionality, this review highlights Techstreet Enterprise’s content customization options, including the innovative Building Blocks feature. It also examines the platform’s variable pricing structure, interface, and competitive products and discusses the platform’s strengths and considerations. This review is intended to guide academic libraries in deciding whether to adopt Techstreet Enterprise as their standards resources. Overall, Techstreet Enterprise is an excellent resource for engineering standards access, and academic libraries are strongly encouraged to consider …
Bikeability Disparities In Orange County, California: Intersection Of Place And Demographics, Jeanette Gritton, Maria Cristina Martinez, Georgiana Bostean, Megan Thiele Strong
Bikeability Disparities In Orange County, California: Intersection Of Place And Demographics, Jeanette Gritton, Maria Cristina Martinez, Georgiana Bostean, Megan Thiele Strong
Faculty Research, Scholarly, and Creative Activity
Active transportation modes such as walking and biking are gaining popularity for their extensive health and environmental benefits, yet scholars know little about how place-based accessibility varies by area sociodemographic composition. This study is among the first to examine sociodemographic disparities (by both race and socioeconomic status) in bikeability while allowing for heterogeneity in disparities. Consideration of bikeability disparities is particularly critical within the framework of urban planning concepts that promote equitable accessibility and reduced dependency on automobiles, such as the 15-minute city. Geographically Weighted Regressions examined associations between census tract-level bikeability (using an index that combines five components), socioeconomic …
Simulation Data For Engineering Graphene Quantum Dot Epoxy Nanocomposites Using Molecular Dynamics, Prathamesh P. Deshpande, Ozgur Keles
Simulation Data For Engineering Graphene Quantum Dot Epoxy Nanocomposites Using Molecular Dynamics, Prathamesh P. Deshpande, Ozgur Keles
Faculty Research, Scholarly, and Creative Activity
Graphene quantum dots (GQDs) were reported to fill the role of nanofillers that enhance composite properties. Detailed investigation of this nanofiller in composites is largely unexplored. To understand the fundamental mechanisms in play, this study uses molecular dynamics simulations to reveal the effects of GQDs on epoxy properties. Mechanical simulations were performed on three varying GQD chemistries which included a pristine GQD and 2 edge aminated GQDs with different degrees of functionalization (5.2 % and 7.6 %). These GQDs were separately inserted in a polymer matrix across five individual replicates. The nanocomposite mechanical properties were computed using uniaxial strain simulations …
Intersectionality Of Social Identity, Trauma, And Education: A First-Generation College Student's Reflective Journey, Richard De La Garza
Intersectionality Of Social Identity, Trauma, And Education: A First-Generation College Student's Reflective Journey, Richard De La Garza
Student RSCA
This reflective paper explores the intersectionality of social identity, trauma, and education through the lens of a first-generation college student (FGCS) who is a neurodivergent Army veteran. I share my personal journey and experiences, highlighting marginalized communities’ challenges in the edu- cation system. I delve into the impact of cultural invasion, the transmission of trauma across generations, and the importance of critical consciousness in addressing educational inequality. I also discuss the role of spatial thinking and language in shaping learning experiences. I emphasize the need for cultural awareness, inclusivity, and equity in educational spaces and high- light the transformative power …
Analysis Of Various Machine Learning Algorithms For Using Drone Images In Livestock Farms, Jerry Gao, Charanjit Kaur Bambrah, Nidhi Parihar, Sharvaree Kshirsagar, Sruthi Mallarapu, Hailong Yu, Jane Wu, Yunyun Yang
Analysis Of Various Machine Learning Algorithms For Using Drone Images In Livestock Farms, Jerry Gao, Charanjit Kaur Bambrah, Nidhi Parihar, Sharvaree Kshirsagar, Sruthi Mallarapu, Hailong Yu, Jane Wu, Yunyun Yang
Faculty Research, Scholarly, and Creative Activity
With the development of artificial intelligence, the intelligence of agriculture has become a trend. Intelligent monitoring of agricultural activities is an important part of it. However, due to difficulties in achieving a balance between quality and cost, the goal of improving the economic benefits of agricultural activities has not reached the expected level. Farm supervision requires intensive human effort and may not produce satisfactory results. In order to achieve intelligent monitoring of agricultural activities and improve economic benefits, this paper proposes a solution that combines unmanned aerial vehicles (UAVs) with deep learning models. The proposed solution aims to detect and …
Unleashing The Potential Of Metric Terminologies In Library And Information Science Research, Niranjan Mohapatra, Satyajit Nayak
Unleashing The Potential Of Metric Terminologies In Library And Information Science Research, Niranjan Mohapatra, Satyajit Nayak
Library Philosophy and Practice (e-journal)
Metric terminologies hold immense potential for enhancing the rigor, precision, and replicability of library and information science (LIS) research. This article explores the untapped potential of metric terminologies in the realm of library and information science research. By delving into the significance of metrics, the study elucidates their role in enhancing the effectiveness and precision of scholarly communication. Investigating the diverse applications of metrics, from bibliometrics to altmetrics, the article underscores their utility in gauging research impact and shaping information dissemination strategies. Through a comprehensive examination, it unveils the myriad opportunities for leveraging metric terminologies to propel advancements in library …
Exploring Situational Factors For Female International Students And Their Satisfaction In Higher Education Using Cb-Sem, Dian Fu Chang, Angel Chang, Cheng Yi Kang
Exploring Situational Factors For Female International Students And Their Satisfaction In Higher Education Using Cb-Sem, Dian Fu Chang, Angel Chang, Cheng Yi Kang
Faculty Research, Scholarly, and Creative Activity
While the topic of attracting and maintaining inbound international students has received much scholarly attention in higher education, attracting female international students has rarely been discussed. This study addresses the issue of attracting degree-seeking female international students. Based on the notion of situational factors and total quality management (TQM), we assumed both institutional design and students’ satisfaction are core concepts for attracting and retaining female international students that will make a difference in higher education. A total of 215 survey responses were analyzed, and a covariance-based structural equation modeling (CB-SEM) approach was developed. The results confirm female international students’ perception …
Anonymous Traffic Detection Based On Feature Engineering And Reinforcement Learning, Dazhou Liu, Younghee Park
Anonymous Traffic Detection Based On Feature Engineering And Reinforcement Learning, Dazhou Liu, Younghee Park
Faculty Research, Scholarly, and Creative Activity
Anonymous networks, which aim primarily to protect user identities, have gained prominence as tools for enhancing network security and anonymity. Nonetheless, these networks have become a platform for adversarial affairs and sources of suspicious attack traffic. To defend against unpredictable adversaries on the Internet, detecting anonymous network traffic has emerged as a necessity. Many supervised approaches to identify anonymous traffic have harnessed machine learning strategies. However, many require access to engineered datasets and complex architectures to extract the desired information. Due to the resistance of anonymous network traffic to traffic analysis and the scarcity of publicly available datasets, those approaches …
Children’S Behavior At Metaverses: Interactions, Digital Identities, And Parent’S Perceptions, Gema Bonales-Daimiel, Belén Moreno-Albarracín, Ainhoa García-Rivero
Children’S Behavior At Metaverses: Interactions, Digital Identities, And Parent’S Perceptions, Gema Bonales-Daimiel, Belén Moreno-Albarracín, Ainhoa García-Rivero
Faculty Research, Scholarly, and Creative Activity
Children are considered one of the main user profiles of metaverses, since they get into those digital universes by playing sandbox video games as Fortnite, Minecraft, or Roblox. However, a lack of research focused on the how, why and outcomes of this vulnerable target in metaverses has been noted. This study aims to investigate the behavior of children in the metaverses through their use of video games and the perceptions of their parents, considering them an indirect target. A total of 31 semi-structured interviews were conducted with children aged between six and 12 years old and their parents. Also, a …
Optimization Of Sensor Placement For Modal Testing Using Machine Learning, Todd Kelmar, Maria Chierichetti, Fatemeh Davoudi Kakhki
Optimization Of Sensor Placement For Modal Testing Using Machine Learning, Todd Kelmar, Maria Chierichetti, Fatemeh Davoudi Kakhki
Faculty Research, Scholarly, and Creative Activity
Featured Application: This study introduces an innovative approach for optimizing sensor placement in modal testing by applying machine learning with enhanced efficiency and precision. Modal testing is a common step in aerostructure design, serving to validate the predicted natural frequencies and mode shapes obtained through computational methods. The strategic placement of sensors during testing is crucial for accurately measuring the intended natural frequencies. However, conventional methodologies for sensor placement are often time-consuming and involve iterative processes. This study explores the potential of machine learning techniques to enhance sensor selection methodologies. Three machine learning-based approaches are introduced and assessed, and their …
Origin Of The Correlation Between Stellar Kinematics And Globular Cluster System Richness In Ultradiffuse Galaxies, Joel Pfeffer, Steven R. Janssens, Maria Luisa Buzzo, Jonah S. Gannon, Nate Bastian, Kenji Bekki, Jean P. Brodie, Warrick J. Couch, Robert A. Crain, Duncan A. Forbes, J. M.Diederik Kruijssen, Aaron J. Romanowsky
Origin Of The Correlation Between Stellar Kinematics And Globular Cluster System Richness In Ultradiffuse Galaxies, Joel Pfeffer, Steven R. Janssens, Maria Luisa Buzzo, Jonah S. Gannon, Nate Bastian, Kenji Bekki, Jean P. Brodie, Warrick J. Couch, Robert A. Crain, Duncan A. Forbes, J. M.Diederik Kruijssen, Aaron J. Romanowsky
Faculty Research, Scholarly, and Creative Activity
Observational surveys have found that the dynamical masses of ultradiffuse galaxies (UDGs) correlate with the richness of their globular cluster (GC) system. This could be explained if GC-rich galaxies formed in more massive dark matter haloes. We use simulations of galaxies and their GC systems from the E-MOSAICS project to test whether the simulations reproduce such a trend. We find that GC-rich simulated galaxies in galaxy groups have enclosed masses that are consistent with the dynamical masses of observed GC-rich UDGs. However, simulated GC-poor galaxies in galaxy groups have higher enclosed masses than those observed. We argue that GC-poor UDGs …
Digital Preservation Practices In Federal University Libraries In Southwestern Nigeria, Oladapo James Omoju Mr, Funmilola Olubunmi Omotayo Dr
Digital Preservation Practices In Federal University Libraries In Southwestern Nigeria, Oladapo James Omoju Mr, Funmilola Olubunmi Omotayo Dr
Library Philosophy and Practice (e-journal)
Modern libraries are increasingly being redefined as places to get unrestricted access to information in many formats and from many sources by providing a tremendous amount of information with a variety of digital tools. The study focused on digital preservation practices in federal university libraries in Southwestern Nigeria. A survey design of the qualitative type was adopted. All federal university libraries in the region were sampled. Data was collected through interviews conducted with the heads of the Digital Preservation Units or their representatives. Data were analysed thematically. All the universities have adopted digital preservation. The libraries preserve born-digital resources, research …
Spartan Daily, March 28, 2024, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, March 28, 2024, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2024
Volume 162, Issue 28
Utilization Of Social Media Platforms For Research Productivity By Postgraduate Students In Universities In Benue State, Nigeria, Theresa Elaine Adeyi Mrs, Ashiver Elizabeth Annune Dr, Jacob Faga Tsegba Dr
Utilization Of Social Media Platforms For Research Productivity By Postgraduate Students In Universities In Benue State, Nigeria, Theresa Elaine Adeyi Mrs, Ashiver Elizabeth Annune Dr, Jacob Faga Tsegba Dr
Library Philosophy and Practice (e-journal)
The study investigated the utilization of social media platforms for research productivity by postgraduate students in universities in Benue State, Nigeria. Four specific objectives with corresponding research questions guided the study. The study adopted a descriptive survey research design. The population of the study comprises 2035 postgraduate students in three Universities in Benue State. The sample size consisted of 334 postgraduate students from the three universities under the study. The instrument for data collection is a self developed questionnaire titled “Utilization of Social Media for Research Productivity by Postgraduates in Universities Questionnaire” (USMRPPUQ)”. The questionnaire was validated by three experts. …
Promoting Faculty Research Excellence And Visibility In Nigerian Universities Through The Open Access Paradigm Shift, Colette Ogugua Onyebinama Dr., Ngozi Chima-James Dr.
Promoting Faculty Research Excellence And Visibility In Nigerian Universities Through The Open Access Paradigm Shift, Colette Ogugua Onyebinama Dr., Ngozi Chima-James Dr.
Library Philosophy and Practice (e-journal)
The primary objective of this article is to promote faculty research excellence and visibility in Nigerian universities through open access publishing. The article begins by briefly discussing the vital role that universities play in research, which is a fundamental duty of faculty members. The study provides a succinct definition of research excellence and visibility, as well as the methods for assessing research excellence. This leads to a brief discussion on promoting faculty research visibility through publication on open access platforms such as open access journals and open access institutional repositories to increase citations rates and enhance visibility. The paper further …
Spartan Daily, March 21, 2024, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, March 21, 2024, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2024
Volume 162, Issue 25
Spartan Daily, March 20, 2024, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, March 20, 2024, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2024
Volume 162, Issue 24
Stereo-Video Landers Can Rapidly Assess Marine Fish Diversity And Community Assemblages, Kinsey E. Matthews, Ryan T. Fields, Kathleen P. Cieri, Jacklyn L. Mohay, Mary G. Gleason, Richard M. Starr
Stereo-Video Landers Can Rapidly Assess Marine Fish Diversity And Community Assemblages, Kinsey E. Matthews, Ryan T. Fields, Kathleen P. Cieri, Jacklyn L. Mohay, Mary G. Gleason, Richard M. Starr
Faculty Research, Scholarly, and Creative Activity
Climate change and anthropogenic stressors affect the distribution, abundance, and diversity of fish communities across the world. To understand rapidly changing biotic communities, resource managers need a method to quickly and efficiently document temporal and spatial changes in community assemblages across various spatial scales. In this study, we describe the use of new video lander tools to survey fish communities in rocky marine habitats on the continental shelf and slope in California, USA. We evaluate how fish diversity metrics determined by video surveys vary among geographically distinct areas. Our results demonstrate that species diversity, evenness, and richness vary spatially across …
Spartan Daily, March 19, 2024, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, March 19, 2024, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2024
Volume 162, Issue 23
State Of Health And Remaining Useful Life Prediction Of Lithium-Ion Batteries With Conditional Graph Convolutional Network, Yupeng Wei, Dazhong Wu
State Of Health And Remaining Useful Life Prediction Of Lithium-Ion Batteries With Conditional Graph Convolutional Network, Yupeng Wei, Dazhong Wu
Faculty Research, Scholarly, and Creative Activity
Graph convolutional networks (GCNs) have been increasingly used to predict the state of health (SOH) and remaining useful life (RUL) of batteries. However, conventional GCNs have limitations. Firstly, the correlation between features and the SOH or RUL is not considered. Secondly, temporal relationships among features are not considered when projecting aggregated temporal features into another dimensional space. To address these issues, two types of undirected graphs are introduced to simultaneously consider the correlation among features and the correlation between features and the SOH or RUL. A conditional GCN is built to analyze these graphs. A dual spectral graph convolutional operation …
The Role Of Content Management Systems In Developing Library Websites, N Selvi, P Vinayagamoorthy, J Shanthi
The Role Of Content Management Systems In Developing Library Websites, N Selvi, P Vinayagamoorthy, J Shanthi
Library Philosophy and Practice (e-journal)
Library websites are essential in disseminating information and encouraging community participation in the digital era. Content Management Systems (CMS) have evolved as critical tools for developing and managing these websites, enabling content generation, organization, and distribution. This paper discusses the role of CMS in library website creation, focusing on its functionality, appropriateness for library purposes, and best practices for implementation. It looks at the specific needs of library websites, gives an overview of standard CMS solutions, analyses CMS selection criteria, shows case studies, and offers advice for effective implementation. Future trends and problems in CMS technology and library website creation …
Spartan Daily, March 14, 2024, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, March 14, 2024, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2024
Volume 162, Issue 22
Spartan Daily, March 13, 2024, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, March 13, 2024, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2024
Volume 162, Issue 21
Casa: A Compact And Scalable Accelerator For Approximate Homomorphic Encryption, Pengzhou He, Samira Carolina Oliva Madrigal, Çetin Kaya Koç, Tianyou Bao, Jiafeng Xie
Casa: A Compact And Scalable Accelerator For Approximate Homomorphic Encryption, Pengzhou He, Samira Carolina Oliva Madrigal, Çetin Kaya Koç, Tianyou Bao, Jiafeng Xie
Faculty Research, Scholarly, and Creative Activity
Approximate arithmetic-based homomorphic encryption (HE) scheme CKKS [CKKS17] is arguably the most suitable one for real-world data-privacy applications due to its wider computation range than other HE schemes such as BGV [BGV14], FV and BFV [Bra12, FV12]. However, the most crucial homomorphic operation of CKKS called key-switching induces a great amount of computational burden in actual deployment situations, and creates scalability challenges for hardware acceleration. In this paper, we present a novel Compact And Scalable Accelerator (CASA) for CKKS on the field-programmable gate array (FPGA) platform. The proposed CASA addresses the aforementioned computational and scalability challenges in homomorphic operations, including …
Empowering The Future Of Learning: Integrating Fourth Industrial Revolution (4ir) Technology In Enugu State Secondary School Libraries To Enhance Literacy Level Among Students, Cyriacus Sochinwekene Aneke
Empowering The Future Of Learning: Integrating Fourth Industrial Revolution (4ir) Technology In Enugu State Secondary School Libraries To Enhance Literacy Level Among Students, Cyriacus Sochinwekene Aneke
Library Philosophy and Practice (e-journal)
The study examined the integration of Fourth Industrial Revolution (4IR) technology in Enugu State secondary school libraries to enhance literacy level among students. The research design adopted for this study was Descriptive Survey Design. The population of the study is derived from ten (10) schools from each of the six (6) education zones in Enugu State. The intended population was 1, 044, 890 students and 60 school/teacher librarians, but Taro Yamane's formula resulted in 399 students and 52 school/teacher librarians. Structured questionnaire was used for data collection, and the collected data were analyzed using frequency, mean and standard deviation. The …
Digital Humanities Development And Innovations That Enhance Information Markets In Academic Institutions, Elisha Ondieki Makori, Hellen Gesare Omangi
Digital Humanities Development And Innovations That Enhance Information Markets In Academic Institutions, Elisha Ondieki Makori, Hellen Gesare Omangi
Library Philosophy and Practice (e-journal)
The purpose was to investigate digital humanities development and innovations that enhance information markets while expanding strategic and competitive value in academic institutions in Kenya. Objectives included examining the extent to which digital humanities and applications enhance information markets in academic institutions; exploring digital humanities and innovations that support research and learning in academic institutions; establishing emerging digital technologies and innovations that promote information management in academic institutions; and determining strategies to improve digital scholarship for information markets in academic institutions. The research applied qualitative information from information professional experts that was collected through the interview schedule. Modern transition to …
Spartan Daily, March 5, 2024, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, March 5, 2024, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2024
Volume 162, Issue 17
Assessing The Integration Of Information And Communication Technology (Ict) In Library Service Delivery At The Ashanti Regional Library, Akosua Boatemaa Adarkwa, Adwoa Pokua - Ababio, Chrisbel Adusei
Assessing The Integration Of Information And Communication Technology (Ict) In Library Service Delivery At The Ashanti Regional Library, Akosua Boatemaa Adarkwa, Adwoa Pokua - Ababio, Chrisbel Adusei
Library Philosophy and Practice (e-journal)
This study assesses the integration of Information and Communication Technology (ICT) in library service delivery at the Ashanti Regional Library. Specifically, it sought to assess the available ICT infrastructure in the library, evaluate the extent of adoption of ICT tools by the library, examine the ICT skill level of staff and users, identify challenges in the usage of ICT infrastructure, and propose measures for improving ICT in the library. A survey research design was employed to gather responses from 66 library users/patrons and 25 library staff through the use of questionnaires. Findings indicate a moderate level of ICT adoption indicating …
Assessing The Reliability Of Machine Learning Models Applied To The Mental Health Domain Using Explainable Ai, Vishnu Pendyala, Hyungkyun Kim
Assessing The Reliability Of Machine Learning Models Applied To The Mental Health Domain Using Explainable Ai, Vishnu Pendyala, Hyungkyun Kim
Faculty Research, Scholarly, and Creative Activity
Machine learning is increasingly and ubiquitously being used in the medical domain. Evaluation metrics like accuracy, precision, and recall may indicate the performance of the models but not necessarily the reliability of their outcomes. This paper assesses the effectiveness of a number of machine learning algorithms applied to an important dataset in the medical domain, specifically, mental health, by employing explainability methodologies. Using multiple machine learning algorithms and model explainability techniques, this work provides insights into the models’ workings to help determine the reliability of the machine learning algorithm predictions. The results are not intuitive. It was found that the …