Digital Commons Network^™

Making Sense Of Work Engagement: A Qualitative Inquiry With Pakistani Librarians, Asif Altaf Mr, Mohamad Noorman Masrek Dr., Haslinda Husaini Dr.

Library Philosophy and Practice (e-journal)

Work engagement is the most potent predictor of individual and organizational success. However, researchers have made no significant effort regarding this crucial issue of librarian work engagement in Pakistan. Therefore, the present study explores work engagement among Pakistani librarians and its impact on their job performance. The qualitative research involved interviewing five professional librarians aged between 30 and 45 years with professional experience of five years and above. The thematic nature of the interviews was conducted online with the main aim of understanding factors that affect work engagement. The findings revealed multiple work engagement determinants, notably influencing job performance.

The …

Sjsu Erfa News, Spring 2024, San Jose State University, Emeritus And Retired Faculty Association

Emeritus and Retired Faculty Association (ERFA) Newsletter

Volume 37, No 3

Sjsu Erfa Executive Board Meeting Minutes, April 1, 2024, San Jose State University, Emeritus And Retired Faculty Association

SJSU ERFA Minutes

SJSU ERFA Executive Board Meeting Minutes

April 1, 2024

A Deep Dive On The Groundbreak Role Of Role Playing Games, Lawton Fong

ART 108: Introduction to Games Studies

Role-playing games (RPGs) have revolutionized the gaming industry, fundamentally altering the way we engage with and perceive games. RPGs are defined by their emphasis on narrative-driven gameplay, character development, and immersive worlds. Originating from tabletop games like Dungeons & Dragons (D&D), RPGs have evolved into complex digital experiences that allow players to interact with richly detailed virtual environments and storylines. This genre's growth has been propelled by advances in technology, expanding from simple text-based adventures to fully realized 3D worlds. Overall, role-playing games have significantly influenced the gaming landscape and transformed our perceptions of games as interactive experiences by advancing …

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 …

Influence Of Library Environment On The Use Of Library Information Resources By Undergraduates In Federal Universities In South-West, Nigeria, Naomi Iziegbe Eyaguobor

Library Philosophy and Practice (e-journal)

No abstract provided.

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 …

Focusing The Ecosystem Lens On Innovation Studies, Carliss Y. Baldwin, Marcel L.A.M. Bogers, Rahul Kapoor, Joel West

Faculty Research, Scholarly, and Creative Activity

For nearly a century, the key role of innovation in economic growth has been acknowledged and studied. Today, innovations are increasingly understood as being embedded in ecosystems of autonomous actors, whether firms, other organizations, or individuals. These actors contribute in complementary ways to create a value proposition that is greater than the sum of the parts, with the integration of their products and processes made possible by modular interfaces between actors. Here we review the emergence of the ecosystem lens within innovation studies in the context of the Special Issue on Innovation Ecosystems and Ecosystem Innovation. After summarizing the history …

Justice And Moral Economies In “Modular, Adaptive, And Decentralized” (Mad) Water Systems, Melissa Beresford, Alexandra Brewis, Neetu Choudhary, Georgina Drew, Nataly Escobedo Garcia, Dustin Garrick, Mohammed Jobayer Hossain, Ernesto Lopez, Elisabeth Ilboudo Nébié, Raul Pacheco-Vega, Anaís Roque, Amber Wutich

Faculty Research, Scholarly, and Creative Activity

“MAD Water” systems (modular, adaptive, decentralized infrastructures) will expand to meet human water needs under future climate change, migration, and urbanization scenarios. Yet the use of MAD systems often undermines water justice. Here we argue that identifying and analyzing moral economies for water can allow scholars to understand—and possibly predict—when and why justice in MAD water systems is upheld, breaks down, or becomes unstable. Moral economies are institutional arrangements in which shared understandings of justice normatively regulate the distribution and exchange of basic resources. We review the moral economies concept, explain an operational framework for analyzing moral economies, and use …

Constraining The Stellar Populations Of Ultra-Diffuse Galaxies In The Matlas Survey Using Spectral Energy Distribution Fitting, Maria Luisa Buzzo, Duncan A. Forbes, Thomas H. Jarrett, Francine R. Marleau, Pierre Alain Duc, Jean P. Brodie, Aaron J. Romanowsky, Jonah S. Gannon, Steven R. Janssens, Joel Pfeffer, Anna Ferré-Mateu, Lydia Haacke, Warrick J. Couch, Sungsoon Lim, Rubén Sánchez-Janssen

Faculty Research, Scholarly, and Creative Activity

We use spectral energy distribution fitting to place constraints on the stellar populations of 59 ultra-diffuse galaxies (UDGs) in the low-to-moderate density fields of the MATLAS survey. We use the routine PROSPECTOR, coupled with archival data in the optical from the Dark Energy Camera Legacy Survey, and near- and mid-infrared imaging from the Wide-field Infrared Survey Explorer, to recover the stellar masses, ages, metallicities, and star formation time-scales of the UDGs. We find that a subsample of the UDGs lies within the scatter of the mass–metallicity relation (MZR) for local classical dwarfs. However, another subsample is more metal-poor, being consistent …

A Laplace-Based Model With Flexible Tail Behavior, Cristina Tortora, Brian C. Franczak, Luca Bagnato, Antonio Punzo

Faculty Research, Scholarly, and Creative Activity

The proposed multiple scaled contaminated asymmetric Laplace (MSCAL) distribution is an extension of the multivariate asymmetric Laplace distribution to allow for a different excess kurtosis on each dimension and for more flexible shapes of the hyper-contours. These peculiarities are obtained by working on the principal component (PC) space. The structure of the MSCAL distribution has the further advantage of allowing for automatic PC-wise outlier detection – i.e., detection of outliers separately on each PC – when convenient constraints on the parameters are imposed. The MSCAL is fitted using a Monte Carlo expectation-maximization (MCEM) algorithm that uses a Monte Carlo method …

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 …

Finding Identities: Identities In Video Games From A Gender, Race, And Identity Representation, Osayame Erinmwingbovo

ART 108: Introduction to Games Studies

In this paper I will bring light to the exploration of gender, race, and identity in video games. While also having a focus on how the representation crosses with social and cultural contexts. I will be researching different games from many different genres, which will show light to the way video games reflect and shape societal attitudes towards gender, race, and identity. When using close textual analysis and theoretical framework from topics that include critical race theory, media, and feminist theory. This research will help to seek to explore the nuances and complexities of representation in gaming which implicates video …

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 …

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 …

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 …

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 …

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

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 …

Comorbidities And Their Association With Covid-19 Mortality In Mexico Between January 2020 And August 2021, Ryan J. Lowhorn, Mohammed Chowdhury, Symon Kimitei, Sammie Haskin, Mohammad Masum, A. K.M.Fazlur Rahman

Faculty Research, Scholarly, and Creative Activity

By August 17, 2021, 4.3 million people had died globally as a result of SARS-CoV-2 infection. While data collection is ongoing, it is abundantly obvious that this is one of the most significant public health crises in modern history. Consequently, global efforts are being made to attain a greater understanding of this disease and to identify risk factors associated with more severe outcomes. The goal of this study is to identify clinical characteristics and risk factors associated with COVID-19 mortality in Mexico. The dataset used in this study was released by Sistema Nacional de Vigilancia Epidemiologica de Enfermedades Respiratorias (SISVER) …

Extracting Off-Diagonal Order From Diagonal Basis Measurements, Bo Xiao, Javier Robledo Moreno, Matthew Fishman, Dries Sels, Ehsan Khatami, Richard Scalettar

Faculty Research, Scholarly, and Creative Activity

Quantum gas microscopy has developed into a powerful tool to explore strongly correlated quantum systems. However, discerning phases with topological or off-diagonal long range order requires the ability to extract these correlations from site-resolved measurements. Here, we show that a multiscale complexity measure can pinpoint the transition to and from the bond ordered wave phase of the one-dimensional extended Hubbard model with an off-diagonal order parameter, sandwiched between diagonal charge and spin density wave phases, using only diagonal descriptors. We study the model directly in the thermodynamic limit using the recently developed variational uniform matrix product states algorithm, and draw …

On Local Antimagic Chromatic Number Of Graphs With Cut-Vertices, Gee Choon Lau, Wai Chee Shiu, Ho Kuen Ng

Faculty Research, Scholarly, and Creative Activity

An edge labeling of a connected graph G = (V, E) is said to be local antimagic if it is a bijection f: E → {1, …, |E|} such that for any pair of adjacent vertices x and y, f+ (x) ≠ f+ (y), where the induced vertex label f+ (x) =∑ f(e), with e ranging over all the edges incident to x. The local antimagic chromatic number of G, denoted by χla (G), is the minimum number of distinct induced vertex labels over all local antimagic labelings of G. In this paper, the sharp lower bound of the local …

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 …

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 …

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 …

Assessment Of Information Literacy Skills And Opac Usage By Students: A Study Of Law Undergraduates In Osun State, Nigeria, Faith Modupe Akinola

Library Philosophy and Practice (e-journal)

In Nigeria, many public and private university libraries have deployed the Online Public Access Catalogue (OPAC) as a retrieval tool to improve services for user satisfaction. The study, therefore, investigated the assessment of students' information literacy skills and OPAC usage: a study of law undergraduates in Osun state, Nigeria.

The population comprised 1,374 law undergraduate students from one public university and four private universities in Osun State in Nigeria, and a two-stage sampling technique was used to select a sample of 326 for the study. A validated structured questionnaire was used for data collection. Data were analysed using frequency, percentage, …

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, 2024

Volume 162, Issue 28

Chapter 17. Spoken Discourse And Second Language Research, Midori Ishida

Faculty Research, Scholarly, and Creative Activity

Spoken discourse is the primordial means by which humans engage in social life and it has been studied from an array of approaches with their own ontological and epistemological orientations to language and communication. The present chapter surveys two primary strands of research on spoken discourse involving second language speakers: (1) studies that approach discourse as a means of revealing second language speakers’ competences and their developmental trajectories, and (2) those that approach discourse as a site for second language learning. The views of competences have gone through diversification, from a focus on discourse competence for creating cohesive monologic text …

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. …