Digital Commons Network^™

Diet Induced Obesity Alters Muscle Spindle Afferent Function In Adult Mice, Lubayna Elahi, Krystle Shamai, Adam Abtahie, Adam Cai, Shreejit Padmanabhan, Martina Bremer, Katherine A. Wilkinson

Faculty Publications, Biological Sciences

Populations with obesity are more likely to fall and exhibit balance instability. The reason for this is likely multifactorial, but there is some evidence that sensory function is impaired during obesity. We tested the hypothesis that muscle proprioceptor function is compromised in a mouse model of diet induced obesity. An in vitro muscle-nerve preparation was used to record muscle spindle afferent responses to physiological stretch and sinusoidal vibration. We compared the responses of C57/Bl6 male and female mice on a control diet (10% kcal fat) with those eating a high fat diet (HFD; 60% kcal fat) for 10 weeks (final …

Leveraging The Workforce Innovation & Opportunity Act (Wioa) To Help Finance College & University Career Centers, Daniel Newell

Master's Projects

This research explores whether career services for the adult and dislocated worker populations of the Workforce Innovation and Opportunity Act (WIOA) can be leveraged to provide career services in a college or university setting to serve students and the public while meeting WIOA’s enrollment goals. For colleges and universities without career centers, leveraging WIOA funding may be a solution to increasing career center resources and expanding existing career services, while augmenting program support through federal funding.

Will Artificial Intelligence Have Free-Will?, Guadalupe Rodriguez

Frankenstein @ 200: Student Posters

Will Artificial Intelligence have free will the way the Creature did?

Disruptive Technology: Do Robots Want Your Job?, Martin Ford

Promotional Materials

Keynote talk with Martin Ford, author of Rise of the Robots. Part of the “Deep Humanities,” One-Day Symposium: FrankenSTEM? Technology Ethics in Silicon Valley, organized by Dr. Revathi Krishnaswamy & Dr. Katherine D. Harris, Department of English and Comparative Literature, San Jose State University.

May 1, 2018, 7pm, The Tech Museum of Innovation, San Jose.

The Role Of Social Networks In The Scientific Exchange Of Librarians: A Case Study, Masoumeh Ansari, Elham Shahdadnezhad, Mehrdad Khalidian, Maryam Poorsani

Library Philosophy and Practice (e-journal)

Objective: Investigating the role of social networks in the scientific exchanges of librarians of the public libraries of Kerman province in 2017.

Design and setting: The tool was the standard questionnaire"The Role of Social Networking in the Academic Exchange of Librarians".The statistical population was librarians working in the public libraries of Kerman province,whom were designated as 125 participants by a census method. Questionnaires were distributed between librarians in spring 2017 and analyzed by SPSS21, independent t-test and one-way ANOVA.

Findings: The highest membership record in social networks was 1 to 2 years (28%),the highest usage rate was 1 to 2 …

The Stellar Populations Of Two Ultra-Diffuse Galaxies From Optical And Near-Infrared Photometry, Viraj Pandya, Aaron J. Romanowsky, Seppo Laine, Jean Brodie, Benjamin Johnson, William Glaccum, Alexa Villaume, Jean-Charles Cuillandre, Stephen Gwyn, Jessica Krick, Ronald Lasker, Ignacio Martín-Navarro, David Martinez-Delgado, Pieter Van Dokkum

Faculty Publications

We present observational constraints on the stellar populations of two ultra-diffuse galaxies (UDGs) using optical through near-infrared (NIR) spectral energy distribution (SED) fitting. Our analysis is enabled by new Spitzer-IRAC 3.6 and 4.5 μm imaging, archival optical imaging, and the prospectorfully Bayesian SED fitting framework. Our sample contains one field UDG (DGSAT I), one Virgo cluster UDG (VCC 1287), and one Virgo cluster dwarf elliptical for comparison (VCC 1122). We find that the optical–NIR colors of the three galaxies are significantly different from each other. We infer that VCC 1287 has an old (7.7 Gyr) and surprisingly metal-poor …

Upper Limits On The Presence Of Central Massive Black Holes In Two Ultra-Compact Dwarf Galaxies In Centaurus A, Karina Voggel, Anil Seth, Nadine Neumayer, Steffen Mieske, Igor Chilingarian, Christopher Ahn, Holger Baumgardt, Michael Hilker, Dieu Nguyen, Aaron J. Romanowsky, Jonelle Walsh, Mark Den Brok, Jay Strader

Faculty Publications

The recent discovery of massive black holes (BHs) in the centers of high-mass ultra-compact dwarf galaxies (UCDs) suggests that at least some are the stripped nuclear star clusters of dwarf galaxies. We present the first study that investigates whether such massive BHs, and therefore stripped nuclei, also exist in low-mass (M < 107 M ⊙) UCDs. We constrain the BH masses of two UCDs located in Centaurus A (UCD 320 and UCD 330) using Jeans modeling of the resolved stellar kinematics from adaptive optics data obtained with the SINFONI integral field spectrograph at the Very Large Telescope (VLT/SINFONI). No massive BHs …

Unconventional Pairing Symmetry Of Interacting Dirac Fermions On A Π -Flux Lattice, Huaiming Guo, Ehsan Khatami, Yao Wang, Thomas Devereaux, Rajiv Singh, Richard Scalettar

Faculty Publications

The pairing symmetry of interacting Dirac fermions on the π-flux lattice is studied with the determinant quantum Monte Carlo and numerical linked-cluster expansion methods. The s∗- (i.e., extended s-) and d-wave pairing symmetries, which are distinct in the conventional square lattice, are degenerate under the Landau gauge. We demonstrate that the dominant pairing channel at strong interactions is an unconventional ds∗-wave phase consisting of alternating stripes of s∗- and d-wave phases. A complementary mean-field analysis shows that while the s∗- and d-wave symmetries individually have nodes in the energy spectrum, the ds∗ channel is fully gapped. The results represent a …

Evaluating And Supporting Teacher Practice Of Formative Assessment: Assessing Posing, Pausing, And Probing Moves, Carrie Holmberg, Brent Duckor

Faculty Publications

Decades of research supports that teacher engagement in formative assessment (FA) can powerfully impact student learning outcomes (Black & Wiliam, 1998; Hattie, 2009, 2012). Yet less is known about teacher development of FA skills on a continuum of practice. This empirical study designed, piloted, and examined test content validity of a performance-based assessment of teachers’ FA practice related to questioning “moves” in the context of six multilingual high needs middle school mathematics classrooms. Qualitative comparative analysis of triangulated evidence of teachers’ planning for, enacting, and reflecting on posing, pausing, and probing “moves” found differences among teachers’ probing in particular, related …

Unpacking Teacher Practice Through A Moves-Based Formative Assessment Framework Using Video-Based Cycles Of Inquiry, Brent Duckor, Carrie Holmberg

Faculty Publications

Research has shown for over a decade that teachers who engage in formative assessment (FA) practices may have the most powerful impact on student learning (Black & Wiliam, 1998; Hattie, 2012). Yet less is known about the development of teachers’ knowledge and use of formative assessment as they plan, enact, and reflect on their questioning practices. Our qualitative case study focuses on how in-service middle school math teachers take up three specific moves (Author A, 2014) associated with formative assessment practice as as part of a video-based cycle of inquiry project. The study found focusing participants’ planning and reflection through …

Indian Lis Schools: Status Of Job Placement And Internship, Sarika Sawant, Prachi Sawant

Library Philosophy and Practice (e-journal)

The present study attempted to know the status of job placement & internship activity held in LIS schools /colleges in Maharashtra state of India. The survey found to be most suitable method for present study. The LIS teachers of all universities and affiliated colleges that offer library science course in Maharashtra were considered as a population of the study. It was observed that half of the universities/colleges responded to the questionnaire have separate job placement cell. It was revealed that all dept/colleges receive job requests for students through telephone. It was observed that nearly all (14) respondents receives job request …

Spartan Daily, April 3, 2018, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2018

Volume 150, Issue 26

Sjsu Erfa News, Spring 2018, San Jose State University, Emeritus And Retired Faculty Association

Emeritus and Retired Faculty Association (ERFA) Newsletter

Volume 31, Number 3

Information Outlook, March/April 2018, Special Libraries Association

Information Outlook, 2018

Volume 22, Issue 2

Social Recommendations For Personalized Fitness Assistance, Saumil Dharia, Magdalini Eirinaki, Vijesh Jain, Jvalant Patel, Iraklis Varlamis, Jainikkumar Vora, Rizen Yamauchi

Faculty Publications

Wearable technology allows users to monitor their activity and pursue a healthy lifestyle through the use of embedded sensors. Such wearables usually connect to a mobile application that allows them to set their profile and keep track of their goals. However, due to the relatively “high maintenance” of such applications, where a significant amount of user feedback is expected, users who are very busy, or not as self-motivated, stop using them after a while. It has been shown that accountability improves commitment to an exercise routine. In this work, we present the PRO-Fit framework, a personalized fitness assistant aiming at …

Prioritized Task Scheduling In Fog Computing, Tejaswini Choudhari

Master's Projects

Cloud computing is an environment where virtual resources are shared among the many users over network. A user of Cloud services is billed according to pay-per-use model associated with this environment. To keep this bill to a minimum, efficient resource allocation is of great importance. To handle the many requests sent to Cloud by the clients, the tasks need to be processed according to the SLAs defined by the client. The increase in the usage of Cloud services on a daily basis has introduced delays in the transmission of requests. These delays can cause clients to wait for the response …

Mandala Generation From Brainwave With Feedforward, Kumari Anamika Sharaf

Master's Projects

Most experiments conducted in the early 1900s with Electroencephalography (EEG) [10] devices explored mental illness of the participants. Historically, EEG has had specific applications to diagnose sleep disorder, epilepsy, coma and brain death. Today, EEG devices are used extensively for research purposes [10], especially in the field of neuroscience. Traditionally, most experiments included a human participant wherein an EEG device was connected to the subject’s forehead to detect electrical impulses indicating different brainwaves. Each brainwave implied a different emotional state of mind. Past experiments [2] [3] [4] then used the brainwave signals as input to build audio/visual art to aid …

Music Similarity Estimation, Anusha Sridharan

Master's Projects

Music is a complicated form of communication, where creators and culture communicate and expose their individuality. After music digitalization took place, recommendation systems and other online services have become indispensable in the field of Music Information Retrieval (MIR). To build these systems and recommend the right choice of song to the user, classification of songs is required. In this paper, we propose an approach for finding similarity between music based on mid-level attributes like pitch, midi value corresponding to pitch, interval, contour and duration and applying text based classification techniques. Our system predicts jazz, metal and ragtime for western music. …

Agent-Based Computing In Java, Michael Symonds

Master's Projects

Agents are powerful, autonomous entities capable of performing simple, or vastly complex, operations individually or in groups of agent systems. Their capabilities extend significantly as mobile agents distributed across a network. Agent-based computing is a widely used technology with a broad range of applications, particularly in distributed computing and agent-based modeling. Many types of systems can be designed using the different architectures that define how they act, communicate, migrate, and more. This paper surveys agent-based computing, their architectures, and efforts at the standardization of certain aspects of the technology. It explores an existing framework called Jade through the lens of …

Android De-Shredder App, Vasudha Venkatesh

Master's Projects

Sensitive documents are usually shredded into strips before discarding them. Shredders are used to cut the pages of a document into thin strips of uniform thickness. Each shredded piece in the collection bin could belong to any of the pages in a document. The task of document reconstruction involves two steps: Identifying the page to which each shred belongs and rearranging the shreds within the page to their original position. The difficulty of the reconstruction process depends on the thickness of the shred and type of cut (horizontal or vertical). The thickness of the shred is directly proportional to the …

Improved Hands-Free Text Entry System, Gaurav Gupta

Master's Projects

An input device is a hardware device which is used to send input data to a computer or which is used to control and interact with a computer system. Contemporary input mechanisms can be categorized by the input medium: Keyboards and mice are hand-operated, Siri and Alexa are voice-based, etc. The objective of this project was to come up with a head movement based input system that improves upon earlier such systems. Input entry based on head movements may help people with disabilities to interact with computers more easily. The system developed provides the flexibility to capture rigid and non- …

Micro-Expression Recognition Using Spatiotemporal Texture Map And Motion Magnification, Shashank Shivaji Pawar

Master's Projects

Micro-expressions are short-lived, rapid facial expressions that are exhibited by individuals when they are in high stakes situations. Studying these micro-expressions is important as these cannot be modified by an individual and hence offer us a peek into what the individual is actually feeling and thinking as opposed to what he/she is trying to portray. The spotting and recognition of micro-expressions has applications in the fields of criminal investigation, psychotherapy, education etc. However due to micro-expressions’ short-lived and rapid nature; spotting, recognizing and classifying them is a major challenge. In this paper, we design a hybrid approach for spotting and …

Ontology Based Technical Skill Similarity, Yeshwanth Bashyam Balachander

Master's Projects

Online job boards have become a major platform for technical talent procurement and job search. These job portals have given rise to challenging matching and search problems. The core matching or search happens between technical skills of the job requirements and the candidate's profile or keywords. The extensive list of technical skills and its polyonymous nature makes it less effective to perform a direct keyword matching. This results in substandard job matching or search results which misses out a closely matching candidate on account of it not having the exact skills. It is important to use a semantic similarity measure …

Distinguishing Earthquakes And Noise Using Random Forest Algorithm, Nishita Narvekar

Master's Projects

Earthquakes are a major cause of life and property destruction. It is known that earthquakes radiate energy in the form of surface and body seismic waves. P-wave and S-waves are types of body waves. Both waves can be detected and recorded at an earthquake station. These waves can be analyzed to detect earthquakes. Most of the earthquake prediction techniques today are a combination of geophysics and signal processing, which are relatively complex. Machine learning can be used to learn the behavior of seismic waves and help in early detection. Machine learning can also be employed to process massive amounts of …

Approaches To Shared State In Concurrent Programs, Sidharth Mishra

Master's Projects

We are in the multicore machine era, but our programs have yet to utilize the increased computing power offered by these machines. At present, lock-based multithreaded programming is the most common programming model used for writing concurrent programs. However, due to the nuances of shared state (and memory) in multithreaded programs and the cognitive load introduced due to locks, concurrent programming remains difficult. One way to deal with shared state in concurrent programs is to get rid of it altogether and use message passing. The other way would be to isolate shared state and store it in a state store, …

Image Segmentation And Classification Of Marine Organisms, Krishna Teja Vojjila

Master's Projects

To automate the arduous task of identifying and classifying images through their domain expertise, pioneers in the field of machine learning and computer vision invented many algorithms and pre-processing techniques. The process of classification is flexible with many user and domain specific alterations. These techniques are now being used to classify marine organisms to study and monitor their populations. Despite advancements in the field of programming languages and machine learning, image segmentation and classification for unlabeled data still needs improvement. The purpose of this project is to explore the various pre-processing techniques and classification algorithms that help cluster and classify …

Automated Lyrical Narrative Writing, Divya Singh

Master's Projects

Computational Creativity studies the potential of computers to act as autonomous creators and co-creators in addition to tools helping people. Creativity is evident in music, visual art, problem solving and languages. Significant work has been conducted in the area of linguistic creation mainly in the generation of stories, puns, rhymes, jokes, similes, and poetry. One of the major challenges of computational creativity is to generate lyrics that exhibit human-level creativity. On one hand, the lyrics generated should be meaningful and coherent, while on the other hand, they should satisfy poetry constraints such as rhyme scheme, rhyme type, and the number …

Using Filters In Time-Based Movie Recommender Systems, Ravee Khandagale

Master's Projects

On a very high level, a movie recommendation system is one which uses data about the user, data about the movie and the ratings given by a user in order to generate predictions for the movies that the user will like. This prediction is further presented to the user as a recommendation. For example, Netflix uses a recommendation system to predict movies and generate favorable recommendations for users based on their profiles and the profiles of users similar to them. In user-based collaborative filtering algorithm, the movies rated highly by the similar users of a particular user are considered as …

Joint Computation Offloading And Prioritized Scheduling In Mobile Edge Computing, Lingfang Gao

Master's Projects

With the rapid development of smart phones, enormous amounts of data are generated and usually require intensive and real-time computation. Nevertheless, quality of service (QoS) is hardly to be met due to the tension between resourcelimited (battery, CPU power) devices and computation-intensive applications. Mobileedge computing (MEC) emerging as a promising technique can be used to copy with stringent requirements from mobile applications. By offloading computationally intensive workloads to edge server and applying efficient task scheduling, energy cost of mobiles could be significantly reduced and therefore greatly improve QoS, e.g., latency. This paper proposes a joint computation offloading and prioritized task …

Pe Header Analysis For Malware Detection, Samuel Kim

Master's Projects

Recent research indicates that effective malware detection can be implemented based on analyzing portable executable (PE) file headers. Such research typically relies on prior knowledge of the header to extract relevant features. However, it is also possible to consider the entire header as a whole, and use this directly to determine whether the file is malware. In this research, we collect a large and diverse malware data set. We then analyze the effectiveness of various machine learning techniques based on PE headers to classify the malware samples. We compare the accuracy and efficiency of each technique considered.