University Colleges are leaders in undergraduate instruction and provide bachelor's and master's degrees in liberal arts and sciences and professional disciplines. These campuses are mostly situated in small cities and towns. Student success is the primary focus as evidenced by faculty and staff interactions through honors programs, independent study opportunities, research and study abroad.

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Recent Submissions

  • Tensions of the body: transgender literature and the body in space and time

    Field, Sophia (2022-05)
    As academics are to understand it, transgender studies generally concerns itself with the triangulated relationship between the body, culture, and power (the power to name, to normalize, and to efface). This thesis is intimately concerned with such subjects, examining representations of the body, culture, and power in two contemporary transgender texts: Torrey Peters’ 2021 novel Detransition, Baby, and Maggie Nelson’s 2015 autobiography The Argonauts. In these two examples of transgender literature, authors represent the body as a heuristic tool; a field against which normative fantasies play out in frequently incongruent ways.
  • Art as Advocacy: Protecting the US-Mexico Border Environment in Amanda Keller Konya’s “Specimens”

    Whittingham, Georgina (Ubiquity Press, 2021-08-03)
    Amanda Keller-Konya's multilayered photographic image construction in "Specimens" from North America's Most Polluted River" helps the viewer perceive the magnitude of the damage sustained by US-Mexico's border area residents in California's Imperial Valley and the effort necessary to clean the area's New River. The river originates in Mexicali city, capital of Baja California, northwestern Mexico, crosses the border, flows north through California's Imperial Valley, and empties into the Salton Sea, the state's largest and most contaminated lake. A sustainable environment is crucial to the health of the valley's residents and farms that supply most of the nation's winter produce. Recovery of the area's ecosystem requires solving the impact of agricultural runoff and toxic dust as less water flows into the Salton Sea, a body of water vital for the wellbeing of Southern Californians, the fish, and the migratory birds that depend on it for survival.
  • Does Reducing Supervision for Low-Risk Probationers Jeopardize Community Safety?

    Duru, Haci; Lovens, Lori Brusman; Lovins, Brian (2020-06)
    The number of individuals on community supervision in the U.S. far surpasses those incarcerated. Of the 6.6 million addults in 2016 under correctional control, more than 4'5 million (68%) were serving a term of ommunity supervision. Eighty-one percent of the individuals placed on community supervision were on probation. With large numbers of individuals on supervised probation, agencies must explore how to best allocate resources while meeting mandates for increased public safety.
  • Singquandles, psyquandles, and singular knots: A survey

    Ceniceros, Jose; Churchill, Indu R.; Elhamdadi, Mohamed; Hajij, Mustafa (World Scientific Pub Co Pte Ltd, 2022-02-24)
    In this short survey, we review recent results dealing with algebraic structures (quandles, psyquandles, and singquandles) related to singular knot theory. We first explore the singquandles counting invariant and then consider several recent enhancements to this invariant. These enhancements include a singquandle cocycle invariant and several polynomial invariants of singular knots obtained from the singquandle structure. We then explore psyquandles which can be thought of as generalizations of oriented singquandles, and review recent developments regarding invariants of singular knots obtained from psyquandles.
  • Trigging Deeper into the Identities; A Comprehensive Approach

    Wade, Carol; Williams, Sa'adia (SUNY Brockport, Department of Education and Human Development, 2022-05)
    These lessons on trigonometric identities were designed to maximize student understanding and minimize teacher lift in terms of planning. They were created to foster an environment of collaboration in a mathematics classroom. This thesis delves into teaching students the three Pythagorean trigonometric identities and later the trigonometric sum and difference formulas as a way of deepening students’ knowledge before they are tasked with tackling their advanced mathematics courses.
  • Racism and the Discourse of Phobias: Negrophobia, Xenophobia and More---Dialogue with Kim and Sundstrom

    Garcia, J. L .A. (2020)
    The article discusses recism as a topic for conceptual analysis, touching on other phobias as well.
  • Creating Custom Desmos Activities Using Desmos Activity Builder to Create Effective Lessons For Online Learning During Covid-19

    Wade, Carol; DeGilio, Matthew (SUNY Brockport, Department of Education and Human Development, 2022-03)
    This curriculum project was designed to support mathematics teachers in remote and hybrid instruction by guiding them in how to develop Desmos lessons using Desmos Activity Builder. Teachers will find development directives for three exemplar lessons (available here) with lesson activities that can be customized for an individual classroom. This flexibility makes Desmos a great platform choice for any teacher struggling to engage students. Desmos lessons allows students to interact with their peers and teachers in way that simulates actual classroom experiences.
  • Applying Mathematics Language Routines to the New York State Grade 8 Mathematics Test Questions

    Wade, Carol; Ludek, Audrey C. (SUNY Brockport, Department of Education and Human Development, 2022-05)
    This curriculum project was designed to incorporate student communication and mathematical discourse into Grade 8 Mathematics curriculum. The five non-sequential lessons and learning activities were designed to encourage mathematical discourse between students and their peers. The lessons support the development of conceptual understanding, particularly regarding questions from the New York State Grade 8 Mathematics Test. Topics covered include solving mathematical problems involving volume of cones, using functions to model relationships between quantities, analyzing and solving pairs of simultaneous linear equations, and understanding congruence and similarity. All of these lessons are aligned with the New York State Next Generation Learning Standards for Grade 8 Mathematics
  • Managing Tuckahoe: Transitioning to a Village Administrator

    Hattery, Michael; Watt, Celia (SUNY Brockport, 2021)
    This review of change in governance and administration in the Village of Tuckahoe, New York is one in a series of communities in New York that took initiative to change the administration of their local government. These local initiatives were reviewed and summarized in 2020 by the Public Management Program (PMP), Department of Public Administration, SUNY Brockport.
  • The Use of Voice to Empower Community Building

    Richards, Julie; Chisholm, Nydia; Smith, Siera (2022-02-18)
  • Qualitative Evaluation of IoT-Driven eHealth: KM, Business Models, Deployment and Evolution

    Lokshina, Izabella V.; Lanting, Cees J. M. (IGI Global, 2018)
    This article explains that eHealth has major potential, and its adoption may be considered necessary to achieve increased ambulant and remote medical care, increased quality, reduced personnel needs, and reduced costs potential in healthcare. In this paper, the authors try to give a reasonable, qualitative evaluation of IoT-driven eHealth from theoretical and practical viewpoints. They look at associated knowledge management issues and contributions of IoT to eHealth, along with requirements, benefits, limitations and entry barriers. Important attention is given to security and privacy issues. Finally, the conditions for business plans and accompanying value chains are realistically analyzed. The resulting implementation issues and required commitments are also discussed. The authors confirm that IoT-driven eHealth can happen and will happen; however, much more needs to be addressed to bring it back in sync with medical and general technological developments in an industrial state-of-the-art perspective and to recognize and get timely the benefits.
  • Thinking eHealth: A Mathematical Background of an Individual Health Status Monitoring System to Empower Young People to Manage their Health

    Lokshina, Izabella V.; Bartolacci, Michael R. (IGI Global, 2014)
    This paper focuses on a mathematical background of an individual health status monitoring system to empower young people to manage their health. The proposed health status monitoring system uses symptoms observed with mobile sensing devices and prior information about health and environment (provided it exists) to define individual physical and psychological status. It assumes that a health status identification process is influenced by many parameters and conditions. It has a flexible logical inference system providing positive psychological influence on young people since full acceptance of recommendations on their behavioral changes towards healthy lifestyles is reached and a correct interpretation is guaranteed. The model and algorithms of the individual health status monitoring system are developed based on the composition inference rule in Zadeh's fuzzy logic. The model allows us to include in the algorithms of logical inference the possibility of masking (by means of a certain health condition) the symptoms of other health situations as well as prior information (if it exists) regarding health and environment. The algorithms are generated by optimizing the truth of a single natural “axiom”, which connects an individual health status (represented by classes of health situations) with symptoms and matrices of influence of health situations on symptoms and masking of symptoms. The new algorithms are fairly different from traditional algorithms, in which the result is produced in the course of numerous single processing rules. Therefore, the use of a composition inference rule makes a health status identification process faster and the obtained results more precise and efficient comparing to traditional algorithms.
  • Analysis of Turbo Code Behavior with Extrinsic Information Transfer Charts in High-Speed Wireless Data Services

    Lokshina, Izabella V.; Zhong, Hua (IGI Global, 2017)
    This paper examines turbo codes that are currently introduced in many international standards and implemented in numerous advanced communication systems, and evaluates the process of extrinsic information transfer (EXIT). The convergence properties of the iterative decoding process, associated with a given turbo-coding scheme, are estimated using the analysis technique based on so-called extrinsic information transfer (EXIT) charts. This approach provides a possibility to predict the bit-error rate (BER) of a turbo code system with only the extrinsic information transfer chart. It is shown that extrinsic information transfer charts are powerful tools to analyze and optimize the convergence behavior of iterative systems utilizing the turbo principle, i.e., systems exchanging and refining extrinsic information. The idea is to consider the associated soft-input soft-output (SISO) stages as information processors, which map input a priori log likelihood ratios (LLRs) onto output extrinsic LLRs, the information content being obviously assumed to increase from input to output, and introduce them to the design of turbo systems without the reliance on extensive simulation. Compared with the other methods for generating extrinsic information transfer functions, the suggested approach provides insight into the iterative behavior of linear turbo systems with substantial reduction in numerical complexity.
  • IoT- and Big Data-Driven Data Analysis Services for Third Parties, Strategic Implications and Business Opportunities

    Lokshina, Izabella V.; Lanting, Cees J. M.; Durkin, Barbara J. (IGI Global, 2018)
    This article describes ubiquitous sensing devices, enabled by wireless sensor network (WSN) technologies, now cut across every area of modern day living, affecting individuals and businesses and offering the ability to obtain and measure environmental indicators. Proliferation of these devices in a communicating-actuating network creates an Internet of Things (IoT). The IoT provides the tools to establish a major, global data-driven ecosystem that also enables Big Data techniques to be used. New business models may focus on the provision of services, i.e., the Internet of Services (IoS). These models assume the presence and development of the necessary IoT measurement and control instruments, communications infrastructure, and easy access to the data collected and information generated. Different business models may support opportunities to create revenue and value for various types of customers. This article contributes to the literature by considering, a first, knowledge-based management practices, business models, strategic implications and business opportunities for third-party data analysis services.
  • Advanced Models and Algorithms for Self–Similar IP Network Traffic Simulation and Performance Analysis

    Radev, Dimitar; Lokshina, Izabella V. (FEI STU Bratislava, 2010)
    The paper examines self-similar (or fractal) properties of real communication network traffic data over a wide range of time scales. These self-similar properties are very different from the properties of traditional models based on Poisson and Markov-modulated Poisson processes. Advanced fractal models of sequentional generators and fixed-length sequence generators, and efficient algorithms that are used to simulate self-similar behavior of IP network traffic data are developed and applied. Numerical examples are provided; and simulation results are obtained and analyzed.
  • Study on Estimating Buffer Overflow Probabilities in High-Speed Communication Networks

    Lokshina, Izabella V. (River Publishers, 2015)
    The paper recommends new methods to estimate effectively the probabilities of buffer overflow in high-speed communication networks. The frequency of buffer overflow in queuing system is very small; therefore the overflow is defined as rare event and can be estimated using rare event simulation with continuous-time Markov chains. First, a two-node queuing system is considered and the buffer overflow at the second node is studied. Two efficient rare event simulation algorithms, based on the Importance sampling and Cross-entropy methods, are developed and applied to accelerate the buffer overflow simulation with Markov chain modeling. Then, the buffer overflow in self-similar queuing system is studied and the simulations with long-range dependent self-similar traffic source models are conducted. A new efficient simulation algorithm, based on the RESTART method with limited relative error technique, is developed and applied to accelerate the buffer overflow simulation with SSM/M/1/B modeling using different parameters of arrival processes and different buffer sizes. Numerical examples and simulation results are provided for all methods to estimate the probabilities of buffer overflow, proposed in this paper.
  • The Impact of CEOs’ Incentives for Risk-Taking or Risk-Aversion on Corporate Performance: Using CEO Vega and CEO Delta as Incentive Measures

    Garas, Samy; Kienpin, Tee; Lee, Chuo-Hsuan (2022)
    This article has a two-fold purpose. First, we investigate whether the CEOs’ risk-taking incentives are associated with better concurrent firm performance. Second, we examine the impact of gender on the aforementioned relationship. We find solid empirical evidence that CEOs’ risk-aversion incentive, as represented by a higher CEO delta, can be linked to better concurrent firm performance such as return on assets (ROA) and Market-to-Book Value (MTB) ratio. By contrast, we find that the risk-taking incentive, as represented by CEO vega, has no significant impact on ROA, but has a significant impact on MTB ratio only among the group of CEOs with larger share ownerships. Furthermore, we research on the same incentives using only female CEOs in our sample. Our panel-data findings indicate that female CEOs on average possessed a lower CEO delta (low risk aversion) and a lower CEO vega (risk-taking incentive) in their compensation packages when compared with their male counterparts. Taken together, these two risk incentives; are linked to a lower concurrent ROA and MTB value. Our findings also indicate that the aforementioned positive relationship between CEOs’ risk- aversion incentive (as measured by CEO delta) and firm performance (as measured by ROA) are less pronounced when a CEO is female. This implies that a female CEO is less likely to increase the firm’s ROA relative to a male CEO, given the same sensitivity of personal wealth to stock price change (i.e., the same CEO delta).
  • Presentation of The Art of Literary Biography: Orion on the Dunes

    Payne, Daniel G. (2022-03)
    Dr. Daniel G. Payne, Distinguished Teaching Professor (Department of English) lectures on the Art of Literary Biography, drawing from Orion on the Dunes (2016), his acclaimed biography of the 20th Century American nature writer Henry Beston (1888-1968). In addition to providing an overview of Beston’s life and work, Dr. Payne discusses the methods and challenges of writing a literary biography, including stories about his own experiences as a "literary detective."
  • She Plays with Golden Fire

    Champion, Aries (2022)
    Aries Champion, a 12th grade student at School of the Arts, won 3rd place in the 2020 Sokol Awards for her peom, "She Plays with Golden Fire."
  • 11 Reasons Why This Is Our Home

    Spencer, Elani (2022)
    Seond place on th2022 Sokol Library Literary Awards went to Elani Spencer, an 11th grade student at School of the Arts.

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