Digital Commons Network^™

Influence Of Advocacy And Awareness Programmes On Use Of Digital Library Resources And Services By Postgraduate Students In Three Federal Universities In South-West, Nigeria, Temitope Abegunde, Olalekan Abiola Awujoola, Mary Love Bamidele

Library Philosophy and Practice (e-journal)

Digital Library Resources and Services (DLRS) are the modern advancement in information technology. These resources help to get precise and current information, especially for postgraduates who depend largely on digital resources for information to enhance their leaning, research as well as to collaborate with other scholars all over the globe for intellectual advancement. Many federal universities do not organise effective awareness and advocacy programmes to get enough digital library resources by postgraduates. Thus, this study investigates advocacy and awareness programmes on use of digital library resources and services by postgraduates in federal universities in South-west, Nigeria. The descriptive survey design …

Use Of Search Engines As Predictors Of Research Skills Of Postgraduate Students In Library Schools: A Case Study Of South-West, Nigeria, Ayansewa Adeleke Adedeji

Library Philosophy and Practice (e-journal)

Research skills have become so imperative that it is not only needed to write technical research documents like dissertations and theses, but it is also needed after postgraduate studies for research productivity as well as for research and development. Information resources are highly needed when conducting research, which is an indication that the ability to use information resources like search engines could influence research skills. This study examines the use of search engines by postgraduate students in selected library schools in South-West, Nigeria. A descriptive survey research design of the correlational type was adopted for this study. The population comprises …

Research In Library Herald During 2017-2021 : A Bibliometric Analysis, Sangram Haldar

Library Philosophy and Practice (e-journal)

Bibliometric analysis of research papers, articles, etc., has gained increasing importance in Library and Information Science to analyze the publication patterns, authorship patterns, and citation patterns of research papers published within a defined period. Bibliometric analysis is essential for library professionals in the collection development process. This paper intends to analyze the articles published in the journal 'Library Herald' from 2017 to 2021 with the help of different statistical tools and techniques. The results indicate most of the contributions by two authors and one article by six authors and the overall degree of collaboration among authors is 0.62. The study …

Robots And Reference Services, Abdullahi Olayinka Isiaka, Biliamin Abiola Aremu, Abdulfatai Soliu, Fahisat Romoke Isiaq

Library Philosophy and Practice (e-journal)

Abstract

This paper explores the integration of robots into reference services in various library and information settings. The use of robots in these contexts has gained momentum in recent years, offering innovative solutions to enhance user experiences, improve access to information, and expand the capabilities of reference librarians. This paper reviews the current state of robots in reference services, discusses their potential benefits and challenges, and examines case studies to illustrate their practical applications. Furthermore, it offers insights into the future prospects and ethical considerations associated with the integration of robots in this domain. This paper delves into the fascinating …

Attitude Of Lis Postgraduate Students Towards The Use Of Remote Teaching And Learning At Post Covid-19 Era In Nigerian Private Universities, Saheed Abiola Hamzat Dr.

Library Philosophy and Practice (e-journal)

No abstract provided.

Biblometric Studies Of Nla Papers From 2019-2021, Suwaiba Hussaini, Prof. Yahya Ibrahim Harande

Library Philosophy and Practice (e-journal)

Abstract

The study intends to presents a Bibliometric analysis of articles presented at the Nigerian Library Association’s (NLA’s) National Conferences/ AGMs, 2019-2021, it will find out the distribution of articles that were presented in NLA’s conferences from 2019_2021, the degree of collaboration among the authors, and collaborative index of articles presented at NLA’s National conferences from the year 2019_2021. Data were collected from the NLA’s journals. To achieve the purpose of the study, three objectives guided the study .The study adopted descriptive survey design. The data were analyzed using frequency table and simple percentage. The findings of the study reveal …

Using New Assessment Tools During And Post-Covid-19, Gbolahan Olasina

Library Philosophy and Practice (e-journal)

This work tackles the need to evaluate and identify fresh assessment techniques utilized in LIS education during and after the COVID-19 epidemic. It investigates the impact of digital media, feedback, formative assessments, and concerns such as cheating and authenticity, providing critical insights for future assessment practises in the post-pandemic period. Accordingly, there is a pressing need to employ new assessment tools post-pandemic to adapt to online and hybrid learning challenges. This qualitative study investigates complex social phenomena in higher education assessments by exploring behaviours, preferences, beliefs, customs, attitudes, viewpoints, and experiences. Twelve LIS instructors, 6 teaching and learning administrators, and …

Attitude, Perception And Practice Towards Pleasure Reading Among University Students: A Case Study, Md. Sakib Biswas

Library Philosophy and Practice (e-journal)

This study investigates the attitudes, perceptions and practices of pleasure reading among the undergraduate and graduate students of Dhaka University. Undergraduate and Graduate students under three major faculties i.e. Arts and Social Sciences; Business Studies; and Science, Engineering & Technology have been selected to participate in this survey. A total of 300 questionnaires have been distributed among the interested participants and the libraries of the concerned faculties were selected for selecting respondents randomly. Systematic random sampling method has been deployed for the convenient of the study. Data analysis has been done using SPSS Version 25 and MS Excel. The study …

Enhancing The Master Of Library And Information Science Curriculum Towards The Improvement Of The Librarian’S 21st Century Skills In The Workplace, David A. Cabonero, Rosielyn M. Austria, Regina D. Ramel

Library Philosophy and Practice (e-journal)

The study was conducted to describe: 1) the graduates of the Master in Library and Information Science (MLIS) program in terms of socio-demographic, academic, and professional examination achievements profiles; 2) the employment conditions of the Saint Mary's University (SMU) Library and Information Science (LIS) graduates employment after graduation and current employment; and 3) the extent of skills learned from the program in terms of a) creativity and innovation skills, b) critical thinking and problem-solving skills, c) communication and collaboration skills, d) information, media, and technology skills, and e) life and career skills. The study utilized a descriptive method of research …

Research Collaboration Analysis Among The Faculty Members Of Vidyasagar University During 1998-2022: A Bibliometric Study, Manoj Kumar Mandal

Library Philosophy and Practice (e-journal)

Vidyasagar University, named after Pandit Iswar Chandra Vidyasagar was established as a state university in 1981. This university is known for research excellence in fields like science and technology, besides other branches of social sciences. This paper attempts to analyse the research collaboration among the faculty members of Vidyasagar University during 1998 to 2022 through bibliometric analysis. To this end, the paper extracted the data from Scopus database for the publications of the faculty members of Vidyasagar University during the said period. To analyse the data and visualise the research aspects Bibliometrix R package, Bibexcel, MS Excel and VOSviewer were …

Analysis Of Methods For Assimilating Fire Perimeters Into A Coupled Fire-Atmosphere Model, Adam K. Kochanski, Kathleen Clough, Angel Farguell, Derek V. Mallia, Jan Mandel, Kyle Hilburn

Faculty Research, Scholarly, and Creative Activity

Correctly initializing the fire within coupled fire-atmosphere models is critical for producing accurate forecasts of meteorology near the fire, as well as the fire growth, and plume evolution. Improperly initializing the fire in a coupled fire-atmosphere model can introduce forecast errors that can impact wind circulations surrounding the fire and updrafts along the fire front. A well-constructed fire initialization process must be integrated within coupled fire-atmosphere models to ensure that the atmospheric component of the model does not become numerically unstable due to excessive heat fluxes released during the ignition, and that realistic fire-induced atmospheric circulations are established at the …

A Variant Of Nim Played On Boolean Matrices, Stephen J. Curran, Stephen C. Locke, Richard M. Low

Faculty Research, Scholarly, and Creative Activity

We introduce a version of Nim played on a Boolean matrix. Each player, in turn, removes a nonzero row or column. The last player to remove a row or column wins. We investigate the Boolean matrices that represent the Ferrers diagram of an integer partition. An integer partition in which each summand is greater than the number of terms in the partition is said to be strong. The Grundy numbers of Boolean matrices that represent the Ferrers diagram of any integer partition consisting of three or fewer terms are determined. This allows us to classify the P-positions and N-positions of …

Accident Prediction On E-Bikes Using Computer Vision, Rohith Puvvala Subramanyam

Master's Theses

Micro Mobility refers to small, confined pace range, and lightweight modes oftransportation, which include e-Bikes and e-Scooters. Micro Mobility riders are prone to harm and deadly injuries on city streets. Statistics show that on average 27 out of 82 (33%) humans, in the United States get injured every day in e-motorcycle injuries, which is rapidly increasing as compared to previous years. The current accident prediction strategies have been rather technically complicated to be incorporated onto micromobility vehicles which are lighter in weight and smaller in size. Current strategies bring key challenges to light. First, as micro-mobility vehicles are small and …

Structure, Construction, And Emplacement Of The Northern Margin Of The Late Cretaceous Sonora Pass Intrusive Suite: North-Central Sierra Nevada Batholith, California, Victoria A. Arnold

Master's Theses

Of the four voluminous, normally zoned Late Cretaceous intrusive suites of the Sierra Nevada batholith, the >1,000 km², ~96-88 Ma Sonora Pass intrusive suite is the oldest, northernmost, and least studied. It contains the marginal, equigranular Kinney Lakes hornblende-biotite granodiorite and the inner, porphyritic Topaz Lake biotite granodiorite. From this research, the Lake Alpine granodiorite is now considered the outermost part of the Sonora Pass intrusive suite. The suite intruded Early Cretaceous plutons and metasedimentary rocks. The Kinney Lakes and Lake Alpine granodiorites were constructed by multiple phases, as were the plutonic host rocks. The granodiorites are marked by schlieren …

Spatiotemporal Dynamics And Biogeochemical Responses In A Tidally Restricted Moro Cojo Slough, Ryan Chiu

Master's Theses

Four years of observational data for Moro Cojo Slough (MCS), a Mediterranean climate estuary in central California, linked anthropogenic nutrient loading and hydrological modifications to a shift in net ecosystem metabolism (NEM) that differs from the characteristic net heterotrophic behavior of most estuarine systems. A lack of precipitation and limited flushing during the dry seasons, as evidenced from hypersaline waters, contribute to high ecosystem respiration rates that drove NEM to nearly balanced or net autotrophic. During the wet seasons, increased runoff and nutrient loading due to precipitation elevated primary production rates within MCS, characterizing the system as net autotrophic. Box …

Quantum Mechanics And Dynamical Models For Finite Unlabeled Simple Graphs, Nathan M. Lewis

Master's Theses

This thesis constructs quantum mechanical theories of finite simple graphs for both labeled and unlabeled graphs.These theories may provide a description for discrete spacetime in a quantum gravity theory. Finite simple graphs and their properties are introduced. The first and second quantization of the standard quantum mechanics of particle systems are reviewed. A quantum mechanical theory of graphs similar to first quantization of standard quantum mechanics is developed via a correspondence of graph edges to particles in particle systems. An algorithm for constructing quantum states of graphs which is independent of graph vertex labeling is developed. It builds antisymmetric graphstates …

Intrinsic Motivation By The Principles Of Non-Linear Dynamical Systems, Phu C. Nguyen

Master's Theses

The design of appropriate control rules for the stabilization of dynamical systems can require quite substantial domain knowledge. Modern AI methodologies, such as Reinforcement Learning, are often used to mitigate the need for such knowledge. However, these can be slow and often rely on at least some hand-designed reward structure, and thus human input, to be more effective. Here, we propose an alternative route to construct rewards requiring only minimal domain knowledge, essentially relying on the structure of the dynamical system itself. For this, we use truncated Lyapunov exponents as rewards to calculate the stabilizing controller from samples. Concretely, the …

Bosons In Anti De Sitter Spacetime, Thi Khanh Linh Pham

Master's Theses

I am extremely grateful to Dr. Kassahun Betre for his support and guidance throughout my thesis journey. His wisdom, knowledge, and encouragement have been invaluable to me. His willingness to take me on making this project and the collaborative friendship is the highlight of my master’s program. Many thanks to Dr. Curtis Asplund and Dr. Ehsan Khatami for participating on my committee and with regard to their valuable feedback on my thesis draft, ensuring the completion of this work. Finally, I am grateful to my family for their unwavering love and all the support and absolute patience over the years …

Controllability-Constrained Deep Neural Network Models For Enhanced Control Of Dynamical Systems, Suruchi Sharma

Master's Theses

Control of a dynamical system without the knowledge of dynamics is an important and challenging task. Modern machine learning approaches, such as deep neural networks (DNNs), allow for the estimation of a dynamics model from control inputs and corresponding state observation outputs. Such data-driven models are often utilized for the derivation of model-based controllers. However, in general, there are no guarantees that a model represented by DNNs will be controllable according to the formal control-theoretical meaning of controllability, which is crucial for the design of effective controllers. This often precludes the use of DNN-estimated models in applications, where formal controllability …

Daily Synoptic-Scale Influences On Weather-Dependent Renewable Energy Supply And Demand In Hypothetical Fully Electrified North American Interconnections, Howard Tang

Master's Theses

Energy grids around the world are becoming increasingly penetrated by renewable energy sources, resulting in progressively variable energy generation. This study aims to provide a fundamental basis for observing atmospheric conditions in relation to weather-dependent renewable energy supply, where daily synoptic-scale influences are considered in hypothetical fully electrified North American interconnections. Three renewable energy types – 100% wind energy, 100% solar energy, and a 50-50 split of wind and solar energy – are scaled to meet weather-driven energy demand on average in three interconnections, namely the Western Interconnection, the Eastern Interconnection, and a hypothetical combined interconnection composed of the Western, …

Reconstructing Auditory Evoked Cortical Response With Fewer Trials, Zoey Y. Zhang

Master's Theses

Auditory evoked fields (AEF) paradigm is a common research tool to study human auditory responses by using Magnetoencephalography (MEG), a neuroimaging tool. AEF paradigm requires repetition over many trials to achieve adequate signal-to-noise ratio (SNR), but Autistic children and some other populations cannot tolerate prolonged exam time due to various reasons. To address these challenges, this project uses a novel machine learning algorithm, Champagne with baseline noise learning, to reconstruct AEF data with fewer trials (80%, 60%, 40%, 20%) but produce the same results as using all AEF trials (100%). The results show that this novel machine learning algorithm can …

Reconnoitering Generative Deep Learning Through Image Generation From Text, Vishnu S. Pendyala, Vigneshkumar Thangarajan

Faculty Research, Scholarly, and Creative Activity

A picture is worth a thousand words goes the well-known adage. Generating images from text understandably has many uses. In this chapter, the authors explore a state-of-the-art generative deep learning method to produce synthetic images and a new better way for evaluating the same. The approach focuses on synthesizing high-resolution images with multiple objects present in an image, given the textual description of the images. The existing literature uses object pathway GAN (OP-GAN) to automatically generate images from text. The work described in this chapter attempts to improvise the discriminator network from the original implementation using OP-GAN. This eventually helps …

Just Go To The Office! An Intersectional Exploration Of The Role Of Race And Gender In Discipline Referral Reasons, Kamilah B. Legette, Yoli Anyon

Faculty Research, Scholarly, and Creative Activity

Educators’ differential selection of Black and Latine students for office discipline referrals is a significant driver of inequity in exclusionary outcomes. Using demographic data and discipline records for all students in one large urban school district, we use descriptive statistics and multilevel regression models to consider whether referral reasons are racialized and if these patterns intersect with gender. Our analyses indicate that educators are consistently more likely to refer Black students than White students to the office for several subjective reasons, including habitual disruption, that are purportedly race-neutral but privilege Whiteness. They are less likely to make referrals for Black …

Dynamic Density Functional Theory Of Multicomponent Cellular Membranes, L. G. Stanton, T. Oppelstrup, T. S. Carpenter, H. I. Ingólfsson, M. P. Surh, F. C. Lightstone, J. N. Glosli

Faculty Research, Scholarly, and Creative Activity

We present a continuum model trained on molecular dynamics (MD) simulations for cellular membranes composed of an arbitrary number of lipid types. The model is constructed within the formalism of dynamic density functional theory and can be extended to include features such as the presence of proteins and membrane deformations. This framework represents a paradigm shift by enabling simulations that can access length scales on the order of microns and time scales on the order of seconds, all while maintaining near fidelity to the underlying MD models. These length and time scales are significant for accessing biological processes associated with …

How Many Non-Isospectral Integral Circulant Graphs Are There?, Katja Mönius, Wasin So

Faculty Research, Scholarly, and Creative Activity

The answer to the question in the title is contained in the following conjecture by So [Discrete Math. 306 (2006), 153–158]: There are exactly 2τ(n)−1 non-isospectral integral circulant graphs of order n, whereτ(n) is the number of divisors of n. In this paper we review some background about this conjecture, which is still open. Moreover, we affirm this conjecture for some special cases of n, namely,n = pk,pqk,p2q with primes 2 ≤ p

Maximizing External Action With Information Provision Over Multiple Rounds In Online Social Networks, Masaaki Miyashita, Norihiko Shinomiya, Daisuke Kasamatsu, Genya Ishigaki

Faculty Research, Scholarly, and Creative Activity

Online social networks have increased their impact on the real world, which motivates information senders to control the propagation process of information to promote particular actions of online users. However, the existing works on information provisioning seem to oversimplify the users? decision-making process that involves information reception, internal actions of social networks, and external actions of social networks. In particular, characterizing the best practices of information provisioning that promotes the users? external actions is a complex task due to the complexity of the propagation process in OSNs, even when the variation of information is limited. Therefore, we propose a new …

A Live Fuel Moisture Climatology In California, Jack R. Drucker, Angel Farguell, Craig B. Clements, Adam K. Kochanski

Faculty Research, Scholarly, and Creative Activity

In this study, observations of live fuel moisture content (LFMC) for predominantly sampled fuels in six distinct regions of California were examined from 2000 to 2021. To gather the necessary data, an open-access database called the Fuel Moisture Repository (FMR), was developed. By harnessing the extensive data aggregation and query capabilities of the FMR, which draws upon the National Fuel Moisture Database, valuable insights into the live fuel moisture seasonality were obtained. Specifically, our analysis revealed a distinct downtrend in LFMC across all regions, with the exception of the two Northernmost regions. The uptrends of LFMC seen in those regions …

2d-3d Facial Image Analysis For Identification Of Facial Features Using Machine Learning Algorithms With Hyper-Parameter Optimization For Forensics Applications, Gangothri Sanil, Krishna Prakash, Srikanth Prabhu, Vinod C. Nayak, Saptarshi Sengupta

Faculty Research, Scholarly, and Creative Activity

Recognizing a face is a remarkable process that humans naturally use. Computer vision has tried to resemble this ability of human vision as a biometric tool to identify humans. Commercial and law enforcement applications are increasingly using face recognition technology to identify people. Currently, it is one of the most sought-after detection methods used in forensics for criminal identification purposes. Owing to similarities in the appearance of certain faces, especially in criminal cases, this problem poses a great challenge in forensic investigation and detection. The novelty of this work lies in the development of a framework for face recognition using …

New Diagonal Graph Ramsey Numbers Of Unicyclic Graphs, Richard M. Low, Ardak Kapbasov

Faculty Research, Scholarly, and Creative Activity

Grossman conjectured that R(G, G) = 2 · |V (G)| − 1, for all simple connected unicyclic graphs G of odd girth and |V (G)| ≥ 4. In this note, we prove his conjecture for various classes of G containing a triangle. In addition, new diagonal graph Ramsey numbers are calculated for some classes of simple connected unicyclic graphs of even girth.

Reconfigurations In Brain Networks Upon Awakening From Slow Wave Sleep: Interventions And Implications In Neural Communication, Cassie J. Hilditch, Kanika Bansal, Ravi Chachad, Lily R. Wong, Nicholas G. Bathurst, Nathan H. Feick, Amanda Santamaria, Nita L. Shattuck, Javier O. Garcia, Erin E. Flynn-Evans

Faculty Research, Scholarly, and Creative Activity

Sleep inertia is the brief period of impaired alertness and performance experienced immediately after waking. Little is known about the neural mechanisms underlying this phenomenon. A better understanding of the neural processes during sleep inertia may offer insight into the awakening process. We observed brain activity every 15 min for 1 hr following abrupt awakening from slow wave sleep during the biological night. Using 32-channel electroencephalography, a network science approach, and a within-subject design, we evaluated power, clustering coefficient, and path length across frequency bands under both a control and a polychromatic short-wavelength-enriched light intervention condition. We found that under …