Digital Commons Network^™

Scientometric Analysis Of Quarterly E-Journals Of Health Science, Priya Ashok Suradkar, Dattatraya Trayambak Kalbande, Hemke Digambar Ambadas 7259974

Library Philosophy and Practice (e-journal)

The main objective of the study is to find out most prolific authors and journals in the health medicine research output during 2001 to 2013. A total of 20724 research papers were examined by growth of contribution by year and volume, authorship pattern. Highest number of contribution i.e. 2335 (11.27%) were published in the year 2011. Issue Number 4 published articles in the maximum 1907 (09.20%) articles, Multi-authored highest articles, Findings of the analysis revealed that the majority of the publications are contributed by multiple author, Highest number of papers was published by more than three authors and it accounts …

Mapping Life Sciences & Biomedicine Research, Shah Salma, B. Mini Devi

Library Philosophy and Practice (e-journal)

Purpose: This study analyzes and highlights the research productivity and the trend in the top fields of “Life sciences and Biomedicine”.

Methods: The data were collected from Clarivate Analytic’s “Web of Science” for a period of 10 years (2006-2016). The search was further refined to the top 10 fields in the field of “Life Sciences and Biomedicine”. The data were downloaded on the following parameters: “author productivity”, “country contribution”, “organisational involvement”, “funding agencies”, “publication year”, “most preferred document type” and “language”.

Findings: No consistent growth is observed in the research activities pertinent to the fields of “Life …

Mapping The Indian Contribution In Pathogen Research During 2008-2017: A Scientometric Analysis, Manoj Kumar Verma, Ravi Shukla

Library Philosophy and Practice (e-journal)

The present study mainly examines the growth rate of publications in the field of Pathogen research in India during the period of 2008-2017. The study based on Scopus databases and using scientometric tools. It reveals that a total 13070 of publications were published from the marked period of study. our analysis includes the year wise publications output, annual growth rate, compound annual growth rate, relative growth rate and doubling time, most productive authors, documents wise distribution of publications etc., and found that the maximum 1925 (14.73%) of research papers were published in the year 2016, followed by 1896 (14.51%) of …

Usability And Return On Investment (Roi) Of Electronic Information Resources: An Evaluative Study On Selected Scientific & Research Institutes Libraries In Odisha, Sidhartha Sahoo, Rabindra Kumar Mahapatra, Shriram Pandey

Library Philosophy and Practice (e-journal)

The paper outlines the perspective of electronic resources in scientific and research libraries and effective methods to utilize maximum so that the amount spend can be justifiable. Sixteen scientific & research institute libraries are surveyed for the purpose of present study. The study discuss various methods to evaluate usages of e-resources so that it can help to the management to make a wiser decision in investing huge amount of expenditures on it. The library services can be extended and customized, to reflect user interests suiting the users the most, in the light of the evaluation and analysis done. The study …

Scholarly Communication In International Journal Of Digital Curation From 2006-2017: A Doaj Based Study, Guptnath Trivedi

Library Philosophy and Practice (e-journal)

The present study is a bibliometric analysis of 328 articles from 11 volumes published in International Journal of Digital Curation published by University of Edinburgh, U.K from 2006-2017. The study is based on three basic objectives in terms of yearly distribution of articles, authorship pattern and degree of collaboration in the journal. Data collection is done from DOAJ. The result revealed that year 2009 was the most fruitful year with 46 articles, Single authorship showing highest contribution and extent of collaboration recorded is considerable with a overall value of 0.69.

Spatially Resolved Stellar Populations And Kinematics With Kcwi: Probing The Assembly History Of The Massive Early-Type Galaxy Ngc 1407, Anna Ferré-Mateu, Duncan Forbes, Richard Mcdermid, Aaron Romanowsky, Jean Brodie

Faculty Publications

Using the newly commissioned Keck Cosmic Web Imager (KCWI) instrument on the Keck II telescope, we analyze the stellar kinematics and stellar populations of the well-studied massive early-type galaxy (ETG) NGC 1407. We obtained high signal-to-noise integral field spectra for a central and an outer (around one effective radius toward the southeast direction) pointing with integration times of just 600 s and 2400 s, respectively. We confirm the presence of a kinematically distinct core also revealed by VLT/MUSE data of the central regions. While NGC 1407 was previously found to have stellar populations characteristic of massive ETGs (with radially constant …

Role Of Public Libraries In Promoting Youth Participation In Agriculture In Nigeria: Information As A Key Driver, Felicia Omorinola Yusuf Dr., Sola Emmanuel Owolabi Mr, Michael Opeyemi Fagbohun Mr., Oyeronke Adebayo Mrs., Juliana Iwu-James Mrs.

Library Philosophy and Practice (e-journal)

The paper reviewed the integral role of public libraries in promoting youth participation in agriculture, information serving as a key driver. The population of youths in Nigeria estimated to be about 70 million establishes the need for this study, noting their relevance to economic growth and development of the agricultural sector. The major objectives of the study were to examine the perception of youths and their level of participation in agriculture in Nigeria; discuss factors limiting their participation; consider the implication of their participation; and the role of the public library in driving their productive involvement in agriculture. An appraisal …

Factors That Affect Retention Of Third Year Civil Engineering Students In A Catholic University In The Philippines, Rico Bautista Orenia, Rhenalyn Gutierrez Bonay-Og, Mary Bantawan Domingo

Library Philosophy and Practice (e-journal)

This study aimed to determine the factors that affect the retention of all 3^rd year CE students of Saint Mary’s University using percentage, frequency, rank, mean, standard deviation, and Pearson correlation. Results revealed that majority of the respondents hardly visited the library. Majority of the respondents borrowed Engineering-related books and have read books at the Engineering Section while the least visited section was the periodicals section. Moreover, the e-library was one of the major sources of information. In terms of the problems affecting the retention, it was found that the library was usually dark which discouraged reading. Significant relationship …

Supporting Faculty To “Do The Flip!” Lessons Learned When Transitioning Faculty To Active Pedagogy In The Classroom, Laura Sullivan-Green, Patricia Backer, Ravisha Mathur

Faculty Publications

San José State University, in partnership with California State University-Los Angeles and Cal Poly Pomona, are developing supportive methods to transition STEM faculty from lecture-based instruction to instruction using active learning pedagogies. These efforts, sponsored by the Department of Education’s First in the World Grant Program, focus on providing faculty training through workshops conducted in the active learning model, resources to support their material development, and peer support through access to multi-disciplinary/multi-campus learning communities. Active learning pedagogies like the flipped classroom have been shown to be a high impact practice that increases URM student success and retention. The partner campuses, …

Comparison Of Simulations Of Updraft Mass Fluxes And Their Response To Increasing Aerosol Concentration Between A Bin Scheme And A Bulk Scheme In A Deep-Convective Cloud System, Seoung Soo Lee, Chang-Hoon Jung, Sen Chiao, Junshik Um, Yong-Sang Choi, Won Jun Choi

Faculty Publications, Meteorology and Climate Science

Key microphysical processes whose parameterizations have substantial impacts on the simulation of updraft mass fluxes and their response to aerosol are investigated in this study. For this investigation, comparisons of these parameterizations are made between a bin scheme and a bulk scheme. These comparisons show that the differences in the prediction of cloud droplet number concentration (CDNC) between the two schemes determine whether aerosol-induced invigoration of updrafts or convection occurs. While the CDNC prediction leads to aerosol-induced invigoration of updrafts and an associated 20% increase in the peak value of the updraft-mass-flux vertical profile in the bin scheme, it leads …

Asian Long-Range Transport In Relation To Atmospheric Rivers In Northern California, Catherine Liu, Sen Chiao, Ju-Mee Ryoo

Faculty Publications, Meteorology and Climate Science

The study investigates the effect of aerosol long-range transport on precipitation over Northern California during atmospheric river (AR) events in the 2017 cold season (January–April). ARs in 2017 were one of the strongest to date, and the intense precipitation associated with the ARs resulted in flooding, destruction of property, and contamination of water supplies. The Aerosol Optical Depth (AOD) from Moderate Resolution Imaging Spectroradiometer (MODIS) data shows Asian dust traveling across the Northern Pacific Ocean along with AR events. Aerosol measurements in California, provided by the Interagency Monitoring of Protected Visual Environments (IMPROVE), show that more Asian dust tends to …

Information Outlook, May/June 2019, Special Libraries Association

Information Outlook, 2019

Volume 23, Issue 3

An Assets-Oriented, Formative Oral Language Assessment For Multilingual Students: The Oral Language Record, Adria F. Klein, Allison Briceño

Faculty Research, Scholarly, and Creative Activity

This chapter introduces an assets-oriented oral language formative assessment tool for use with multilingual students. The assessment tool, called the Oral Language Record (OLR), was developed to help teachers listen to, record, and analyze authentic student talk in a variety of settings. It provides valuable information about the vocabulary and language structures that students use, helps determine current instructional needs, provides a frame for capturing student talk, and documents growth over time. The OLR contains a continuum based on observable behaviors and an analysis tool that helps teachers determine next steps in instruction based on their observations. Used in conjunction …

Physical Factors Influencing Phytoplankton Abundance In Southern Monterey Bay, C. Ryan Manzer, Thomas Connolly, Erika Mcphee-Shaw, G. Smith

Faculty Research, Scholarly, and Creative Activity

As the base of almost all marine food webs, phytoplankton play a dominant role in determining the productivity of marine ecosystems. Recent studies have highlighted the dynamic variability of phytoplankton abundance in nearshore ecosystems over synoptic time scales. Therefore, a greater understanding of the physical mechanisms that contribute to this variability is required to assess impacts of current as well as future weather patterns on these ecosystems. In this study, chlorophyll fluorescence data from a nearshore location in southern Monterey Bay was used to identify the timing and duration of increases in phytoplankton concentrations.  Regional physical parameters, including wind stress, …

Modeling The Effect Of A Road Construction Project On Transportation System Performance, Venu M. Kukkapalli, Srinivas S. Pulugurtha

Mineta Transportation Institute

Road construction projects create physical changes on roads that result in capacity reduction and travel time escalation during the construction project period. The reduction in the posted speed limit, the number of lanes, lane width and shoulder width at the construction zone makes it difficult for the road to accommodate high traffic volume. Therefore, the goal of this research is to model the effect of a road construction project on travel time at road link-level and help improve the mobility of people and goods through dissemination or implementation of proactive solutions.

Data for a resurfacing construction project on I-485 in …

Modeling The Influence Of Land Use Developments On Transportation System Performance, Ajinkya S. Manes, Srinivas S. Pulugurtha

Mineta Transportation Institute

The growth in the urban population has influenced urban sprawl, congestion, and subsequently, delays on the existing road infrastructure. New land use developments occur in every part of the city due to rapid economic development and to meet the demand for better living standards. The induced traffic volume generated from such land use developments often results in increased congestion and vehicular delay on the existing roads. With recent advancements in the technology, it is possible to capture continuous, and comprehensive travel time data for every major corridor in a city. Therefore, the goal of this research is to model the …

Scientometric Mapping Of Research Output Of Nirf First Ranked Institute Of India: Iisc, Bangalore, Satish Kumar, Senthilkumar R.

Library Philosophy and Practice (e-journal)

The study is aimed to investigate the scientific research productivity of India’s NIRF first ranked higher academic & research institute, Indian Institute of Science (IISc), Bangalore for a period of 05 years during 2014-2018. A total of 12,130 research papers were retrieved as SCIE publication from WoS bibliographical database and analyzed. The study is focused to find out the year wise institutional contribution in research, compound annual growth rate, areas of interest, collaborating institutions and countries, mode of publications, research funding agencies, prolific journals, prolific authors, authorship pattern, degree of collaborations etc. Different scientometric tools and techniques were used to …

Promoting Global Best Practices For Sustainable Development Goals Through Library And Information Science Professionals In Nigeria, Christopher Eje Ogar Mr, Gboyega K. Oyeniran Ph.D

Library Philosophy and Practice (e-journal)

The study focused on sustainable development goals in Nigeria in line with sustainable Development Goals using some world standard practices in library and information and with librarians and other information science professionals playing leading roles. Some key concepts, namely: Global best practices, sustainable development, Goals Libraries, Information science, professionals as related to library and information science, Nigeria were conceptually defined in relation to this study. The paper highlighted the needs for sustainable development in line with sustainable development goals. Brief historical developments of sustainable development goals were x-rayed. The roles of libraries and information science professionals in integrated information and …

Rejuvenating Libraries From The Cloud: A Bibliometric Analysis Of Cloud Computing, Vijay Kumar Bharati, Assistant Librarian, Mahender Pratap Singh, Professor And Head,Dlis,

Library Philosophy and Practice (e-journal)

Cloud computing is a service through which we access in a remote application server and consume computing services through the internet. This modification of cloud computing has been quite popular since the last decade in enabling computing. Cloud computing plays a key role in the development of Modern Library. Modern libraries are being rejuvenated rapidly through cloud computing. The Bibliometric study of the publication on cloud computing has been done in the research paper presented. Web of Science Core collection database has been used for data collection. Total 11776 articles were retrieved on Cloud Computing through Web of Science database. …

Adoption Of Social Networks Media For Reference Services In Academic Libraries, Stanley Efe Okolo, Rachael Ejovwokoghene Eserada

Library Philosophy and Practice (e-journal)

This study was carried out to investigate the adoption of social networks media for reference services in academic libraries. Thus, the study discovered among others, the meaning of social networking media and the types of social networking media tools that can be applied in the reference section by the reference librarian for the provision of reference services in academic libraries. To achieve the objectives of this study, four (4) research questions were formulated. The study pointed out among others, that there are two major types of reference services which are: direct and indirect reference services and they are in use …

Designing Single Guide Rnas For Crispr/Cas9, Neha Atul Bhagwat

Master's Projects

Researchers have been working towards development of tools to facilitate regular use genome engineering techniques. In recent years, the focus of these efforts has been the Clustered Regularly Interspaced Short Palindromic Repeats(CRISPR)/CRISPR associated(Cas) systems. These systems, while found naturally in bacteria and archaea as an immunity mechanism, can be used for genome engineering in eukaryotes.

There are three major computational challenges associated with the use of CRISPR/Cas9 in genome engineering for mammals - identification of CRISPR arrays, single guide RNA design and minimizing off-target effects. This project attempts to solve the problem of single guide RNA design using a novel …

Machine Learning In Crop Classification Of Temporal Multispectral Satellite Image, Ravali Koppaka

Master's Projects

Recently, there has been a remarkable growth in Artificial Intelligence (AI) with

the development of efficient AI models and high-power computational resources for processing complex datasets. There has been a growing number of applications of machine learning in satellite remote sensing image data processing. In this work, machine learning methods were applied for crop classification of temporal multi- spectral satellite image to achieve better prediction of crop-wise area statistics. In India, agriculture has a huge impact on the national economy and most of the critical decisions are dependent on agricultural statistics. Sentinel-2 satellite image data for the Guntur district region …

Randition: Random Blockchain Partitioning For Write Throughput, David Nguyen

Master's Projects

This paper proposes to support dynamic runtime partitioning of Tendermint, which is an in-development state machine replication algorithm that uses the blockchain model to provide Byzantine-fault tolerance. We call this variation Randition. We incorporate recent research from blockchain consensus and replicated state machine partitioning to allow Randition users to partition their blockchain for improved write performance at the cost of some Byzantine fault tolerance. We conduct an experiment to compare the raw write throughput of Randition and Tendermint. Finally, we discuss the experiment results and discuss further improvements to Randition.

Fast High Resolution Image Completion, Chinmay Mishra

Master's Projects

This paper presents a method for image completion, an active research area in the field of computer vision. The method described in the paper aims at achieving comparable results to other state of the art methods with approximately four and a half times reduction in training time. It is a two step procedure which involves image completion and enhancing the resolution of the completed image. We use the SSIM metric to evaluate the quality of the completed image and to also time our model against other image completion models.

Music Mood Classification Using Convolutional Neural Networks, Revanth Akella

Master's Projects

Grouping music into moods is useful as music is migrating from to online streaming services as it can help in recommendations. To establish the connection between music and mood we develop an end-to-end, open source approach for mood classification using lyrics. We develop a pipeline for tag extraction, lyric extraction, and establishing classification models for classifying music into moods. We investigate techniques to classify music into moods using lyrics and audio features. Using various natural language processing methods with machine learning and deep learning we perform a comparative study across different classification and mood models. The results infer that features …

Detecting Crispr Arrays Using Long-Short Term Memory Network, Shantanu Deshmukh

Master's Projects

CRISPR (Clustered Regularly Interspaced Short Palindromic Repeat) is a se- quence found in the DNA sequence of an organism. It provides provides immunity to the organism. Recently, it was found that the CRISPR-based immunity mechanism can be manipulated to perform genome editing. The problem is, it is hard to know the specificity of this system and in turn, making it highly specific is difficult. More re- search is required to improve this CRISPR-based genome editing. Detecting CRISPR arrays in the DNA sequence is the first step towards this research. In this work, a CRISPR array detection pipeline, CRISPRLstm, is proposed. …

Learning For Free – Object Detectors Trained On Synthetic Data, Charles Thane Mackay

Master's Projects

A picture is worth a thousand words, or if you want it labeled, it’s worth about four cents per bounding box. Data is the fuel that powers modern technologies run by artificial intelligence engines which is increasingly valuable in today’s industry. High quality labeled data is the most important factor in producing accurate machine learning models which can be used to make powerful predictions and identify patterns humans may not see. Acquiring high quality labeled data however, can be expensive and time consuming. For small companies, academic researchers, or machine learning hobbyists, gathering large datasets for a specific task that …

An Industry Driven Genre Classification Application Using Natural Language Processing, Sharan Duggirala

Master's Projects

With the advent of digitized music, many online streaming companies such as Spotify have capitalized on a listener’s need for a common stream platform. An essential component of such a platform is the recommender systems that suggest to the constituent user base, related tracks, albums and artists. In order to sustain such a recommender system, labeling data to indicate which genre it belongs to is essential. Most recent academic publications that deal with music genre classification focus on the use of deep neural networks developed and applied within the music genre classification domain. This thesis attempts to use some of …

Context-Based Multi-Stage Offline Handwritten Mathematical Symbol Recognition Using Deep Learning, Sui Kun Guan

Master's Projects

We propose a multi-stage machine learning (ML) architecture to improve the accuracy of offline handwritten mathematical symbol recognition. In the first stage, we train and assemble multiple deep convolutional neural networks to classify isolated mathematical symbols. However, certain ambiguous symbols are hard to classify without the context information of the mathematical expressions where the symbols belong. In the second stage, we train a deep convolutional neural network that further classifies the ambiguous symbols based on the context information of the symbols. To further improve the classification accuracy, in the third stage, we develop a set of rules to classify the …

A Webrtc Video Chat Implementation Within The Yioop Search Engine, Yangcha Ho

Master's Projects

Web real-time communication (abbreviated as WebRTC) is one of the latest Web application technologies that allows voice, video, and data to work collectively in a browser without a need for third-party plugins or proprietary software installation. When two browsers from different locations communicate with each other, they must know how to locate each other,

bypass security and firewall protections, and transmit all multimedia communications in real time. This project not only illustrates how WebRTC technology works but also walks through a real example of video chat-style application. The application communicates between two remote users using WebSocket and the data encryption …