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History Through My Own Eyes: Institutional Structure - Heterosexism
Get PDFSUNY OswegoCurriculum and Instructio
Best Leadership Practices in Strategic Communication Workplaces
Get PDFNASUNY OswegoDepartment of Communication StudiesN/
Implementing International Labor Standards ( ILO)-The Impact of Supply Chain: Management and Economics
Get PDFThis paper aims to highlight the global trend of corporate social responsibility, and the Sustainable Development Goals (SDGs) promulgated by the United Nations. As companies become transnational, there will be increasing pressure on the human resource management function in those organizations to respond to the changing environment. Existing methods for encouraging companies to be accountable for implementing the international labor standards in the United States are inadequate. After rejecting the concept of mandatory compliance. The focus directed in this document will discuss findings on supply chain management and the impact it has on economics pertaining to multinational enterprise (MNE) labor standards.VoRSUNY OneontaSociology, Human Services, and Crime StudiesN/AFulkerson, Gregor
A Thesis Submitted to the Graduate Faculty of the State University of New York Polytechnic Institute in Partial Fulfillment of the Requirements for the Degree of Master of Science
No full textThis thesis explores the integration of artificial intelligence (AI) and machine learning (ML) techniques into future terahertz (THz) wireless communication networks, focusing on system design, optimization, and deployment. We first address one of the major impediments to THz communications: the severe impact of phase noise (PN) compounded by additive white Gaussian noise (AWGN). By developing an in-house PN model based on empirical measurements, we synthetically generated a large dataset to train several regression models. Among these, the AdaBoost Regressor (ABR) demonstrated superior performance,
achieving high predictive accuracy in estimating bit error rates (BER) across diverse system configurations.
Building upon the predictive capabilities of the regression model, we integrated the Differential Evolution (DE) optimization algorithm to automate waveform parameter selection for minimized BER, revealing critical insights into the nonlinear relationship between PN, bandwidth, and AWGN. Our findings demonstrated that while increasing bandwidth exacerbates AWGN, it can simultaneously mitigate the detrimental effects of PN, a relationship that cannot be captured analytically and thus necessitates a data-driven approach. In parallel, we developed a large language model (LLM)-based expert system hosted on
OpenAI’s platform to accelerate not only undergraduate research on the SUNY Poly ACES v testbed, but AI predictive capabilites for future THz networks. By combining the k-nearest neighbors regressor (kNN), which predicts real-world THz link performance, with natural language interfaces, students can now access predictive tools and receive experimental advice conversationally. This approach bridges the gap between complex system modeling and intuitive experimental operation, paving the way for a new era of AI-assisted wireless systems. While this work focuses on specific waveform optimization within a single testbed, it serves as an early building block toward AI-driven, self-optimizing THz networks that will form the backbone of ultra-high-speed, adaptive wireless systems in the coming decade. Overall, this work contributes a novel, modular framework for THz waveform optimization and educational facilitation, highlighting how AI-driven methods can address core challenges in high-frequency wireless communications while fostering human-in-the-loop innovation. Our methodology paves the way for the intelligent, adaptive frameworks that will shape the evolution of THz communications, setting the stage for the fully autonomous wireless networks of the future.NASUNY Polytechnic InstituteCollege of Engineering, Department of Computer & Information ScienceMSReale, Michael, Ph.D.Singh, Arjun, Ph.D.Confer, Amos, Ph.D
Cholesterol Regulation in the Brain: a Clinical and Genetic Link to Neuropsychiatric Disorders
Get PDFEpidemiological studies have reported associations between blood cholesterol levels and the risk of psychiatric and neurodegenerative disorders, with suggestions that pharmacological modulation of cholesterol may benefit brain health. This study aimed to investigate the biological basis of these associations by applying an integrative analytical framework that combined clinical and genetic data with methodological approaches of Mendelian randomization (MR) and genetic colocalization. Specifically, we investigated statistically supported causal and pleiotropic relationships between blood cholesterol levels and neuropsychiatric disorders, while also examining associations with grey and white matter phenotypes derived from MRI data. Our findings indicate that genetic alterations in cholesterol metabolism may influence the risk of both psychiatric and neurodegenerative conditions. We also found evidence for a causal relationship between blood levels of high-density cholesterol (HDL) and region-specific structural brain phenotypes, including grey matter volume and white matter microstructure. Notably, a proatherogenic lipid profile may increase the risk of attention-deficit disorders by modulating grey matter volume in the right caudate nucleus. Additionally, we observed that structural brain changes and disease status may, in turn, influence peripheral lipid levels. Specifically, increased grey matter volume in the putamen has demonstrated causal association with elevated HDL levels, while Alzheimer's disease showed a direct reverse causal relationship with both high- and low-density cholesterol (LDL) levels. In addition, our analyses reveal a genetic basis for the association between peripheral cholesterol levels and susceptibility to neuropsychiatric disorders, identifying multiple pleiotropic loci that influence both traits. Genetic variants associated with blood cholesterol levels may impact brain function through brain cell type-specific regulatory effects on gene expression, implicating molecular pathways involved in lipid metabolism, neural signaling, and neuroinflammation in the etiology of psychiatric and neurodegenerative disorders.NAUpstate Medical UniversityNeurosciencePhDLiu, Chuny
Let’s keep this between you, me, and the tiles: MFA Thesis - Sculpture
Get PDFThe transient nature of conversations within family and community contexts belies their
profound influence on individual and collective identities. This thesis investigates how art can
capture and memorialize the fleeting, everyday conversations shared with loved ones. Family
table talks, in particular, shape our lives, influencing our values and relationships. Yet, these
pivotal moments often vanish without a trace, leaving only vague impressions. A worn table
might evoke memories of past meals and discussions, but it lacks a direct link to any specific,
meaningful exchange. My artistic intervention aims to embed subtle reminders of these
important talks within key social spaces, transforming them into tangible memorials. This project
seeks to contribute to the broader conversation about art's role in preserving cultural memory and
fostering community. By transforming daily chats into enduring artifacts, I hope to highlight the
significance of these often-overlooked moments.NASUNY College at New PaltzSculptureMFAAsbill, MichaelPuthoff, EmilyVarga, Andre
Garage sale: a carefully constructed collection of functionally useless objects: MFA Thesis - Metal
Get PDFGarage Sale is a query into our understanding and expectations of the material world. I create curious objects which simultaneously imply utility through their features and form and disrupt assumptions surrounding their use by being functionally useless. By combining familiar materials, forms, and mechanisms, the outcomes appear both functional and confounding. Initial predictions are perverted or left unfulfilled as levers fail to initiate a reaction or containers spill out their contents. The objects solicit viewers to consider their material world and reconsider their expectations.NASUNY College at New PaltzMetalMFABatchelder, LynnMimlitsch-Gray, MyraToelke, Ameli
Building a vibrating probe to detect tiny currents in a liquid
Get PDFBioelectricity is an essential part of living organisms to aid in their tissue healing and regenerative
abilities, but the apparatus necessary to detect the tiny ionic currents in biological systems are
often convoluted in their function and expensive. This project aimed to build a low-cost, simplified
version of a vibrating probe, a non-invasive device used to detect currents brought about
by a wound in animals with regenerative abilities such as planarians. While the probe was not
successfully constructed in the plating stage, some in-depth theoretical groundwork was developed
in the presence of such limitations. Experimental procedures for electrode plating were carried out
and documented, leading to a deeper understanding of electric field detection, the function of a
lock-in amplifier, and the steps to carry out a full calibration procedure of the probe. To remediate
the absence of an operational probe, a Python simulation was written to model expected current
density near a wound as well as the electric field output. This work plays a role in making tools
capable of measuring bioelectric currents more accessible and lays groundwork for future research
exploring the electrodynamics through electric field theory, signal detection instrumentation, and
current density modeling.
Keywords: Physics, Biophysics, Biology, Bioelectricity, Vibrating Probe, Regeneration,
Wound currents, Planarians, SimulationNASUNY College at New PaltzHonorsN/
Using teaching rehearsal and video analysis as reflective tools to support the learning of teaching with technology
Get PDFNASUNY College at New PaltzHonorsN/