Digital Commons Network^™

Spiking Neural Network That Maps From Generalized Coordinates To Cartesian Coordinates, Chloe K. Guie

Graduate Theses, Dissertations, and Problem Reports (ETD)

In this thesis, I look to understand how insects compute task-level quantities by integrating range-fractionated sensory signals to create a sparse-spatial coding of Cartesian positions. I created biologically plausible 2-D and 3-D models of one species of the stick insect (Carausius morosus) leg and encoded the foot position through a spiking neural network. This model used spiking afferents from three angles of an insect leg which are integrated by one non-spiking interneuron. This model contains many dendritic compartments and one somatic compartment that encode the foot’s position relative to the body. The Functional Subnetwork Approach (FSA) was used …

Blowdown Wastewater Co-Treatment With Produced Water For Resource Recovery: Moving Towards Zero Liquid Discharge And Sustainable Waste Management, Mohammad Hafez Ahmed

Graduate Theses, Dissertations, and Problem Reports (ETD)

Cooling of low-pressure steam and flue gas desulfurization (FGD) process at coal-fired powerplants often require large quantities of freshwater and can generate waste streams from the blowdown (BD) operations. Treating these wastewaters for reuse can offset the freshwater demand, which is beneficial especially in semiarid and arid regions. However, the traditional treatment (i.e., chemical softening and evaporation) of cooling BD water (BDW) is chemical- and energy-intensive and adds to the overall costs of water management for powerplants. Furthermore, the updated Effluent Limitation Guidelines and Standards for powerplants set forth by the U.S. Environmental Protection Agency (EPA) …

Organizational Characteristics As Predictors Of Hospital Accreditation, Rebecca B. Graystone

Walden Dissertations and Doctoral Studies

Abstract Hospital accreditation has had wide and longstanding acceptance as a key quality tool to drive efficient, effective healthcare. Researchers have more recently questioned factors commonly related with accreditation achievement given accreditation’s general association to better patient care, risk management, and cost reduction. Even less information was known about predictors of accreditation failure, which could be addressed by hospital administrators in advance of seeking application. Accordingly, the purpose of this cross-sectional study was to examine if hospital structures and processes were predictors of accreditation failure. The research questions explored hospital size, ownership status, geographic location, hospital leadership, empowerment, practice, and …

Quantifying The Impacts Of Genetically Engineered Crops And Deep Soil C Cycling On The Sustainability Of Bioenergy Crop Production, Zoe Pagliaro

Graduate Theses, Dissertations, and Problem Reports (ETD)

Bioenergy can help mitigate climate change by providing a carbon-neutral fuel source. However, multiple challenges exist to achieving carbon neutrality including converting lignocellulosic materials to fuel and enhancing soil C sequestration during the growth of the feedstocks. To address these challenges, there have been recent efforts to genetically modify feedstocks to produce more energy dense oils that increase fuel conversion efficiency and to cultivate deep-rooted perennial feedstocks that can enhance soil C storage. However, the C consequences and efficacy of these solutions remain largely uncertain.

To examine the C consequences of enhancing oil content of bioenergy feedstocks, I examined the …

Increasing Self-Awareness In Nursing, Adrienne Irene Abbot

Walden Dissertations and Doctoral Studies

Nursing self-awareness is essential for nurses to develop relationships with co-workers and patients. In the local organization, the practice problem for this doctoral project is a perceived low level of self-awareness in nursing. This Doctor of Nursing project aimed to determine if an educational intervention focused on self-awareness and the benefit of self-awareness increased knowledge among nurses working on a medical-surgical unit. A comprehensive literature review of peer-reviewed evidence provided evidence to support this project. A total of 26 individuals (N = 26) participated in the educational intervention. Eighty-nine percent (89%) of the participants (n = 23) were female, and …

Applications Of Nanoporous Gold In Therapy, Drug Delivery, And Diagnostics, Palak Sondhi, Dhanbir Lingden, Jay K. Bhattarai, Alexei V. Demchenko, Keith J. Stine

Chemistry & Biochemistry Faculty Works

Nanoporous gold (np-Au) has promising applications in therapeutic delivery. The promises arise from its high surface area-to-volume ratio, ease of tuning shape and size, ability to be modified by organic molecules including drugs, and biocompatibility. Furthermore, np-Au nanostructures can generate the photothermal effect. This effect can be used either for controlled release of drugs of therapeutic importance or for destroying cancer cells by heating locally. Despite the enormous potential, the research on the therapeutical use of the np-Au is still in its early stage. In this review, we discuss the current progress and future directions of np-Au for therapeutic applications.

Lived Experiences Of American Adults Who Survive Covid-19: Implications For Physical Activity And Interpersonal Stress, Linda B. Piacentine, Hannah C. Barbosa, Kristin Haglund, Lauren Opielinski, Sandra K. Hunter, Paula E. Papanek, Marie K. Hoeger Bement, Norah L. Johnson

College of Nursing Faculty Research and Publications

Introduction: The cumulative number of COVID-19 cases has surpassed 579 million globally. Symptoms during and after COVID-19 infection vary from mild cold symptoms to severe multisystem illness. Given the wide range of symptom presentations and complications post COVID-19, the purpose of this study was to describe the lived experience of American adults surviving COVID-19.

Method: This study employed an exploratory qualitative description design. Semi-structured interviews were conducted with a sample of 35 individuals, [white (94%), female (71%), mean age = 43.7 years], with proximity to a university in an urban Midwest American city. Interviews occurred between May and …

2023-2024 Undergraduate Bulletin, Rochester Institute Of Technology

RIT Digital Archives

No abstract provided.

Ptco/Mwcnts Prepared By A Microwave-Assisted Polyol Method For Selective Cinnamaldehyde Hydrogenation, Kaiying Wang, Yuzi Liu, Jee-Ching Wang, Xinhua Liang

Chemical and Biochemical Engineering Faculty Research & Creative Works

Using microwave irradiation, PtCo alloy nanoparticles were deposited within a few minutes on COOH-functionalized MWCNT supports. The obtained catalysts were used for selective hydrogenation of cinnamaldehyde, a reaction whose products are widely used in various fields. In the selective cinnamaldehyde hydrogenation to cinnamyl alcohol, microwave-prepared catalysts (generically, Pt_xCo_y-MW) outperformed a catalyst prepared by the conventional method (Pt₁Co₂-con). The highest selective hydrogenation to cinnamyl alcohol, 89%, was obtained using Pt₁Co₂-MW, while Pt₁Co₂-con showed a selectivity of 76%. Characterization results confirmed that the microwave prepared samples …

Kinetic Assessment Of Light Hydrocarbons Separation Over Fe-Doped 13x Composite Sorbents Under Multicomponent Feed Conditions, Khaled Baamran, Jimmy D.L. Moreno, Ali A. Rownaghi, Fateme Rezaei

Chemical and Biochemical Engineering Faculty Research & Creative Works

Current sorbents investigated for light olefin/paraffin separation usually suffer from low selectivity. Besides, multicomponent analysis of this important separation is usually overlooked in the literature. To enhance the separation efficiency of zeolite 13X, we developed a series of Fe₂O₃/13X composite sorbents and assessed their separation performance using binary, ternary, and multicomponent gas mixtures of C₂H₄, C₂H₆, CH₄, and H₂. In these composites, nano- and micro Fe₂O₃ particles (NPs and MPs) with varied loadings were used, while Fe was also ion-exchanged into …

Temperature Dependence Of The Electronic Absorption Spectrum Of No2, Steve Ndengué, Ernesto Quintas Sánchez, Richard Dawes, Christopher C. Blackstone, David L. Osborn

Chemistry Faculty Research & Creative Works

The nitrogen dioxide (NO₂) radical is composed of the two most abundant elements in the atmosphere, where it can be formed in a variety of ways including combustion, detonation of energetic materials, and lightning. Relevant also to smog and ozone cycles, together these processes span a wide range of temperatures. Remarkably, high-resolution NO₂ electronic absorption spectra have only been reported in a narrow range below about 300 K. Previously, we reported [ J. Phys. Chem. A 2021, 125, 5519−5533 ] the construction of quasi-diabatic potential energy surfaces (PESs) for the lowest four electronic states (X̃, Ã, B̃, …

Dendrochemical Forensics As Material Evidence In Courts: How Could Trees Lie?, Chris Balouet, Joel Gerard Burken, Jacques Martelain, Jonathan Lageard, Frank Karg, David Megson

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The legal admissibility of scientific tools, such as dendrochemistry providing forensic evidence for criminal or civil cases, critically relies on the quality of fundamental and applied scientific research. the "Daubert" and "Frye" criteria that federal courts in the U.S.A use for determining legal admissibility requires publication of the scientific basis for the tool, and general acceptance by the scientific community. the field of dendroforensics is rapidly evolving, with new methods constantly being developed. in this manuscript we investigate how this dendrochemical evidence has been used successfully in the courtroom. the study of tree rings using physical anatomical and dendrochronological methods …

The Demands Of Displacement, The Micro-Aggressions Of Multiculturalism: Performing An Idea Of "Indianness" In Singapore, Orlando Woods, Lily Kong

Research Collection College of Integrative Studies

This paper explores the ways in which state-defined discourses of multiculturalism can unintentionally create a framework through which micro-aggressions are enacted against those interpreted as "other". These definitions cascade down from the state to majority and then minority ethno-national groups, who leverage positions of relative dominance to establish the terms of acceptance and integration into society. By negotiating these terms, ethnicity becomes a performative construct through which difference is asserted and reified. We illustrate these ideas through an empirical analysis of Singapore's minority Indian community, and how Singaporean Indians perform an idea of "Indianness" in response to their Singaporean Chinese …

Algorithm's Cradle: Commemorating Al-Khwarizmi In The Soviet History Of Mathematics And Cold War Computer Science, Ksenia Tatarchenko

Research Collection College of Integrative Studies

This chapter investigates the origin narratives and commemoration practices that came hand in hand with the growing cultural authority of the algorithm after World War II, culminating in celebrations in honor of the 1,200th anniversary of the medieval scholar Abu MODIFIER LETTER LEFT HALF RINGAdallah Muhammad Ibn Musa al-Khwarizmi. I first show how al-Khwarizmi's legacy was claimed by Soviet historians of mathematics aiming to construct a history inspired by dialectical materialism, a goal that eventually led to arguments about the distinct, algorithmic character of mathematics in the East. Next, I study how these ideas were appropriated by the international community …

Utilizing Wearable Technology To Characterize And Facilitate Occupant Collaborations In Flexible Workspaces, Kristi Maisha, Mario Frei, Matias Quintana, Xuan Yun Chua, Rishee Jain, Clayton Miller

Research Collection College of Integrative Studies

Hybrid working strategies have become, and will continue to be, the norm for many offices. This raises two considerations: newly unoccupied spaces needlessly consume energy, and the occupied spaces need to be effectively used to facilitate meaningful interactions and create a positive, sustainable work culture. This work aims to determine when spontaneous, collaborative interactions occur within the building and the environmental factors that facilitate such interactions. This study uses smartwatch-based micro-surveys using the Cozie platform to identify the occurrence of and spatially place interactions while categorizing them as a collaboration or distraction. This method uniquely circumvents pitfalls associated with surveying …

Cohort Comfort Models — Using Occupant’S Similarity To Predict Personal Thermal Preference With Less Data, Matias Quintana, Stefano Schiavon, Federico Tartarini, Joyce Kim, Clayton Miller

Research Collection College of Integrative Studies

Cohort Comfort Models (CCM) are introduced as a technique for creating a personalized thermal prediction for a new building occupant without the need to collect large amounts of individual comfort-related data. This approach leverages historical data collected from a sample population, who have some underlying preference similarity to the new occupant. The method uses background information such as physical and demographic characteristics and one-time onboarding surveys (satisfaction with life scale, highly sensitive person scale, personality traits) from the new occupant, as well as physiological and environmental sensor measurements paired with a few thermal preference responses. The framework was implemented using …

Cozie Apple: An Ios Mobile And Smartwatch Application For Environmental Quality Satisfaction And Physiological Data Collection, Federico Tartarini, Mario Frei, Stefano Schiavon, Xuan Yun Chua, Clayton Miller

Research Collection College of Integrative Studies

Collecting feedback from people in indoor and outdoor environments is traditionally challenging and complex to achieve in a reliable, longitudinal, and non-intrusive way. This paper introduces Cozie Apple, an open-source mobile and smartwatch application for iOS devices. This platform allows people to complete a watch-based micro-survey and provide real-time feedback about environmental conditions via their Apple Watch. It leverages the inbuilt sensors of the smartwatch to collect physiological (e.g., heart rate, activity) and environmental (sound level) data. This paper outlines data collected from 48 research participants who used the platform to report perceptions of urban-scale environmental comfort (noise and thermal) …

Leveraging Campus-Scale Wi-Fi Data For Activity-Based Occupant Modeling In Urban Energy Applications, Martín Mosteiro-Romero, Clayton Miller, Matias Quintana, Adrian Chong, Rudi Stouffs

Research Collection College of Integrative Studies

The widespread availability of open datasets in urban areas is transforming how urban energy systems are planned, simulated, and visualized. Urban energy models, however, require an understanding of urban dwellers, as their activities create the demands for energy in buildings. In this paper, we explore using campus-scale Wi-Fi data to identify typical occupant activity patterns as an input to an agent-based model of building occupants at the district scale. The data is taken from a Singaporean university’s Wi-Fi network at high resolution. Each record comprises a timestamp, a device identifier, the location of the device within the campus, and the …

The Building Data Genome Directory – An Open, Comprehensive Data Sharing Platform For Building Performance Research, Xiaoyu Jin, Chun Fu, Hussain Kazmi, Atilla Balint, Ada Canaydin, Matias Quintana, Filip Biljecki, Fu Xiao, Clayton Miller

Research Collection College of Integrative Studies

The building sector plays a crucial role in the worldwide decarbonization effort, accounting for significant portions of energy consumption and environmental effects. However, the scarcity of open data sources is a continuous challenge for built environment researchers and practitioners. Although several efforts have been made to consolidate existing open datasets, no database currently offers a comprehensive collection of building data types with all subcategories and time granularities (e.g., year, month, and sub-hour). This paper presents the Building Data Genome Directory, an open data-sharing platform serving as a one-stop shop for the data necessary for vital categories of building energy research. …

Echoes Of The Zoning: Confronting Legal Realism In The Arguments For Reparations From The Atlantic Slave Trade And Modern-Day Human Trafficking, Glenys P. Spence

Fordham International Law Journal

This Article is based on the premise that modern day human trafficking, like the transatlantic slave trade, violates jus cogens norms, and thus the practice was and still is a violation of US laws under customary international law. The analysis will examine the laws that were applied to chattel slavery in England and her colonies through the lens of some seminal slavery cases to unearth the tyranny of interpretation in human trafficking reparations and liability claims under the current Supreme Court jurisprudence and the Alien Tort Statute (“ATS”). The featured cases will reveal that the same philosophies undergirding the jurisprudence …

Assessment Of The Dimensionless Groups-Based Scale-Up Of Gas–Solid Fluidized Beds, Faraj M. Zaid, Haider Al-Rubaye, Thaar M. Aljuwaya, Muthanna H. Al-Dahhan

Chemical and Biochemical Engineering Faculty Research & Creative Works

The most common scale-up approach for gas–solids fluidized beds is based on matching the governing dimensionless parameters. in the literature, this approach has been validated only by means of measuring global parameters between different sizes of fluidized beds. However, such global measurements are not sufficient to depict all the interplaying hydrodynamic phenomena and hence verify the scale-up relationships. Therefore, to assess this approach, an advanced gas–solids optical probe and pressure transducer measurement techniques have been applied to quantify local hydrodynamic parameters in two different sized fluidized beds. Four different sets of experimental conditions were designed and conducted to examine the …

Nanomaterial Payload Delivery To Central Nervous System Glia For Neural Protection And Repair, Jayant Saksena, Adelle E. Hamilton, Ryan J. Gilbert, Jonathan M. Zuidema

Chemical and Biochemical Engineering Faculty Research & Creative Works

Central nervous system (CNS) glia, including astrocytes, microglia, and oligodendrocytes, play prominent roles in traumatic injury and degenerative disorders. Due to their importance, active pharmaceutical ingredients (APIs) are being developed to modulate CNS glia in order to improve outcomes in traumatic injury and disease. While many of these APIs show promise in vitro, the majority of APIs that are systemically delivered show little penetration through the blood–brain barrier (BBB) or blood-spinal cord barrier (BSCB) and into the CNS, rendering them ineffective. Novel nanomaterials are being developed to deliver APIs into the CNS to modulate glial responses and improve outcomes in …

Advances In Bioelectrode Design For Developing Electrochemical Biosensors, Nabajyoti Kalita, Sudarshan Gogoi, Shelley D. Minteer, Pranab Goswami

Chemistry Faculty Research & Creative Works

The critical performance factors such as selectivity, sensitivity, operational and storage stability, and response time of electrochemical biosensors are governed mainly by the function of their key component, the bioelectrode. Suitable design and fabrication strategies of the bioelectrode interface are essential for realizing the requisite performance of the biosensors for their practical utility. A multifaceted attempt to achieve this goal is visible from the vast literature exploring effective strategies for preparing, immobilizing, and stabilizing biorecognition elements on the electrode surface and efficient transduction of biochemical signals into electrical ones (i.e., current, voltage, and impedance) through the bioelectrode interface with the …

Evaluating The Relative Influence Of Soil Water Potential, Soil Moisture, And Vapor Pressure Deficit On Semi-Arid Vegetation Dynamics, Kayla R. Jamerson

Graduate Student Theses, Dissertations, & Professional Papers

Knowledge of vegetation’s response to soil water availability and atmospheric demand is critical to understanding the impact of climate change on semi-arid ecosystems. However, limited field-based research has been conducted to assess the relative importance of these drivers and previous research has simplified the assessment of soil water availability by relying on soil volumetric water content (VWC) as a primary control on plant growth, which, as opposed to soil water potential (Ψsoil), does not account for the effects of soil texture on plant available water. To address these gaps, we compared remotely sensed indicators of vegetation response to field based …

An Explainable Deep Learning Model For Prediction Of Severity Of Alzheimer's Disease, Godwin Ekuma, Daniel B. Hier, Tayo Obafemi-Ajayi

Chemistry Faculty Research & Creative Works

Deep Convolutional Neural Networks (CNNs) have become the go-To method for medical imaging classification on various imaging modalities for binary and multiclass problems. Deep CNNs extract spatial features from image data hierarchically, with deeper layers learning more relevant features for the classification application. Despite the high predictive accuracy, usability lags in practical applications due to the black-box model perception. Model explainability and interpretability are essential for successfully integrating artificial intelligence into healthcare practice. This work addresses the challenge of an explainable deep learning model for the prediction of the severity of Alzheimer's disease (AD). AD diagnosis and prognosis heavily rely …

Conditioning On Parental Mating Types Can Reduce Necessary Assumptions For Mendelian Randomization, Keisuke Ejima, Nianjun Liu, Luis Miguel Mestre, Gustavo De Los Campos, David B Allison

Children’s Nutrition Research Center Staff Publications

Mendelian randomization (MR) has become a common tool used in epidemiological studies. However, when confounding variables are correlated with the instrumental variable (in this case, a genetic/variant/marker), the estimation can remain biased even with MR. We propose conditioning on parental mating types (a function of parental genotypes) in MR to eliminate the need for one set of assumptions, thereby plausibly reducing such bias. We illustrate a situation in which the instrumental variable and confounding variables are correlated using two unlinked diallelic genetic loci: one, an instrumental variable and the other, a confounding variable. Assortative mating or population admixture can create …

Environmentally-Aware And Energy-Efficient Multi-Drone Coordination And Networking For Disaster Response, Chengyi Qu, Francesco Betti Sorbelli, Rounak Singh, Prasad Calyam, Sajal K. Das

Computer Science Faculty Research & Creative Works

In a Disaster Response Management (DRM) Scenario, Communication and Coordination Are Limited, and Absence of Related Infrastructure Hinders Situational Awareness. Unmanned Aerial Vehicles (UAVs) or Drones Provide New Capabilities for DRM to Address These Barriers. However, There is a Dearth of Works that Address Multiple Heterogeneous Drones Collaboratively Working Together to Form a Flying Ad-Hoc Network (FANET) with Air-To-Air and Air-To-Ground Links that Are Impacted By: (I) Environmental Obstacles, (Ii) Wind, and (Iii) Limited Battery Capacities. in This Paper, We Present a Novel Environmentally-Aware and Energy-Efficient Multi-Drone Coordination and Networking Scheme that Features a Reinforcement Learning (RL) based Location Prediction …

Programmable Software-Defined Testbed For Visible Light Uav Networks: Architecture Design And Implementation, Yue Zhang, Nan Cen

Computer Science Faculty Research & Creative Works

As of Today, There Has Been Increasing Research on Designing Optimization Algorithms and Intelligent Network Control Methods for Visible Light Unmanned Aerial Vehicles (UAV) Networks to Provide Pervasive and Broadband Connections. for Those Theoretical Analysis based Algorithms, there is an Urgent Need to Have a Visible Light UAV Network Platform that Can Help Evaluate the Proposed Algorithms in Real-World Scenarios. However, to the Best of Our Knowledge, there is Currently No Dedicated High Data Rate and Flexible Visible Light UAV Networking Prototype. to Bridge This Gap, in This Paper, We First Design a Novel Programmable Software-Defined Architecture for Visible Light …

Sigmoid Activation-Based Long Short-Term Memory For Time Series Data Classification, Sajal Das

Computer Science Faculty Research & Creative Works

With the enhanced usage of Artificial Intelligence (AI) driven applications, the researchers often face challenges in improving the accuracy of the data classification models, while trading off the complexity. In this paper, we address the classification of time series data using the Long Short-Term Memory (LSTM) network while focusing on the activation functions. While the existing activation functions such as sigmoid and tanh are used as LSTM internal activations, the customizability of these activations stays limited. This motivates us to propose a new family of activation functions, called log-sigmoid, inside the LSTM cell for time series data classification, and analyze …

Unifying Threats Against Information Integrity In Participatory Crowd Sensing, Shameek Bhattacharjee, Sajal K. Das

Computer Science Faculty Research & Creative Works

This article proposes a unified threat landscape for participatory crowd sensing (P-CS) systems. Specifically, it focuses on attacks from organized malicious actors that may use the knowledge of P-CS platform's operations and exploit algorithmic weaknesses in AI-based methods of event trust, user reputation, decision-making, or recommendation models deployed to preserve information integrity in P-CS. We emphasize on intent driven malicious behaviors by advanced adversaries and how attacks are crafted to achieve those attack impacts. Three directions of the threat model are introduced, such as attack goals, types, and strategies. We expand on how various strategies are linked with different attack …