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Mistaken Detonation: International And Domestic Legal Principles Applicable To Address The Accidental Or Unintended Use Of Nuclear Weapons, Emma Hazeltine Jan 2023

Mistaken Detonation: International And Domestic Legal Principles Applicable To Address The Accidental Or Unintended Use Of Nuclear Weapons, Emma Hazeltine

Fordham International Law Journal

Accidental or unintended detonation of nuclear weapons is a virtually unregulated area of international law. Although the Treaty on the Prohibition of Nuclear Weapons and the Treaty on the Non- Proliferation of Nuclear Weapons seek to manage the risks of intentional nuclear use, these Treaties are silent on how the international community would assign legal liability for inadvertent detonations. This Note seeks to address this question by surveying and discussing how existing mechanisms of international and US domestic law could fill this legal void. Specifically, it analyzes the relevancy, benefits, and drawbacks of applying: international criminal law; international human rights …

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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 Jan 2023

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 …

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Nanomaterial Payload Delivery To Central Nervous System Glia For Neural Protection And Repair, Jayant Saksena, Adelle E. Hamilton, Ryan J. Gilbert, Jonathan M. Zuidema Jan 2023

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 …

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Natural Product Co-Metabolism And The Microbiota–Gut–Brain Axis In Age-Related Diseases, Mark Obrenovich, Sandeep Kumar Singh, Yi Li, George Perry, Bushra Siddiqui, Waqas Haq, V. Prakash Reddy Jan 2023

Natural Product Co-Metabolism And The Microbiota–Gut–Brain Axis In Age-Related Diseases, Mark Obrenovich, Sandeep Kumar Singh, Yi Li, George Perry, Bushra Siddiqui, Waqas Haq, V. Prakash Reddy

Chemistry Faculty Research & Creative Works

Complementary alternative medicine approaches are growing treatments of diseases to standard medicine practice. Many of these concepts are being adopted into standard practice and orthomolecular medicine. Age-related diseases, in particular neurodegenerative disorders, are particularly difficult to treat and a cure is likely a distant expectation for many of them. Shifting attention from pharmaceuticals to phytoceuticals and "bugs as drugs" represents a paradigm shift and novel approaches to intervention and management of age-related diseases and downstream effects of aging. Although they have their own unique pathologies, a growing body of evidence suggests Alzheimer's disease (AD) and vascular dementia (VaD) share common …

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Natural Product Co-Metabolism And The Microbiota–Gut–Brain Axis In Age-Related Diseases, Mark Obrenovich, Sandeep Kumar Singh, Yi Li, George Perry, Bushra Siddiqui, Waqas Haq, V. Prakash Reddy Jan 2023

Natural Product Co-Metabolism And The Microbiota–Gut–Brain Axis In Age-Related Diseases, Mark Obrenovich, Sandeep Kumar Singh, Yi Li, George Perry, Bushra Siddiqui, Waqas Haq, V. Prakash Reddy

Chemistry Faculty Research & Creative Works

Complementary alternative medicine approaches are growing treatments of diseases to standard medicine practice. Many of these concepts are being adopted into standard practice and orthomolecular medicine. Age-related diseases, in particular neurodegenerative disorders, are particularly difficult to treat and a cure is likely a distant expectation for many of them. Shifting attention from pharmaceuticals to phytoceuticals and "bugs as drugs" represents a paradigm shift and novel approaches to intervention and management of age-related diseases and downstream effects of aging. Although they have their own unique pathologies, a growing body of evidence suggests Alzheimer's disease (AD) and vascular dementia (VaD) share common …

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Advances In Bioelectrode Design For Developing Electrochemical Biosensors, Nabajyoti Kalita, Sudarshan Gogoi, Shelley D. Minteer, Pranab Goswami Jan 2023

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 …

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Evaluating The Relative Influence Of Soil Water Potential, Soil Moisture, And Vapor Pressure Deficit On Semi-Arid Vegetation Dynamics, Kayla R. Jamerson Jan 2023

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 …

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An Explainable Deep Learning Model For Prediction Of Severity Of Alzheimer's Disease, Godwin Ekuma, Daniel B. Hier, Tayo Obafemi-Ajayi Jan 2023

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 …

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Relationship Between Reproductive And Bone Biomarkers And Osteoarthritis In Zoo Asian (Elephas Maximus) And African (Loxodonta Africana) Elephants, Daniella E Chusyd, Janine L Brown, Lilian Golzarri-Arroyo, Stephanie L Dickinson, Virginia B Kraus, Jessica Siegal-Willott, Timothy M Griffin, Janet L Huebner, Katie L Edwards, David B Allison, Steven N Austad Jan 2023

Relationship Between Reproductive And Bone Biomarkers And Osteoarthritis In Zoo Asian (Elephas Maximus) And African (Loxodonta Africana) Elephants, Daniella E Chusyd, Janine L Brown, Lilian Golzarri-Arroyo, Stephanie L Dickinson, Virginia B Kraus, Jessica Siegal-Willott, Timothy M Griffin, Janet L Huebner, Katie L Edwards, David B Allison, Steven N Austad

Children’s Nutrition Research Center Staff Publications

Osteoarthritis (OA) is common in zoo Asian (Elephas maximus) and African (Loxodonta africana) elephants. This study investigated the relationship between confirmed or suspected OA with ovarian cyclicity, gonadotropins, progestagens, luteinizing hormone (LH), follicular stimulating hormone (FSH), and collagen type I (CTX-I) in zoo elephants. In Asian elephants, odds of having confirmed or suspected OA decreased with cycling (OR = 0.22, P = 0.016; OR = 0.29, P = 0.020, respectively), however, not when adjusted for age (odds ratio [OR] = 0.31, P = 0.112; OR = 0.58, P = 0.369, respectively). In African elephants, none of …

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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 Jan 2023

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 …

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The Gdpr And Uk Gdpr And Its Impact On Us Academic Institutions, Leila Halawi, Alpesh Makwana Jan 2023

The Gdpr And Uk Gdpr And Its Impact On Us Academic Institutions, Leila Halawi, Alpesh Makwana

Publications

This research paper delves into the implications of the General Data Protection Regulation (GDPR) and the United Kingdom (UK) GDPR on academic institutions, shedding light on their significance for organizations and educational establishments handling data from individuals in the European Union (EU) and the UK. Non-compliance with these regulations can lead to substantial penalties. The study focuses specifically on US Higher Education and presents actionable measures that institutions can adopt to enhance compliance, fortify data protection, and safeguard the privacy of individuals.

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Rural Black Masculinity And The Blues In Not Without Laughter, Andy Oler Jan 2023

Rural Black Masculinity And The Blues In Not Without Laughter, Andy Oler

Publications

In the 1930 novel Not without Laughter, Langston Hughes represents a wide range of Black experience in the Midwest – the “picturesque” alongside the horrific, the old-fashioned, as well as the modern.Hughes uses the novel’s setting, the small town of Stanton, Kansas, to determine some of the limits placed on protagonist Sandy Rodgers and his family, and their attempts to work through them.

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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 Jan 2023

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 …

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Programmable Software-Defined Testbed For Visible Light Uav Networks: Architecture Design And Implementation, Yue Zhang, Nan Cen Jan 2023

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 …

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Sigmoid Activation-Based Long Short-Term Memory For Time Series Data Classification, Sajal Das Jan 2023

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 …

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Unifying Threats Against Information Integrity In Participatory Crowd Sensing, Shameek Bhattacharjee, Sajal K. Das Jan 2023

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 …

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Reward Maximization For Disaster Zone Monitoring With Heterogeneous Uavs, Wenzheng Xu, Chengxi Wang, Hongbin Xie, Weifa Liang, Haipeng Dai, Zichuan Xu, Ziming Wang, Bing Guo, Sajal K. Das Jan 2023

Reward Maximization For Disaster Zone Monitoring With Heterogeneous Uavs, Wenzheng Xu, Chengxi Wang, Hongbin Xie, Weifa Liang, Haipeng Dai, Zichuan Xu, Ziming Wang, Bing Guo, Sajal K. Das

Computer Science Faculty Research & Creative Works

In this paper, we study the deployment of $K$ heterogeneous UAVs to monitor Points of Interest (PoIs) in a disaster zone, where a PoI may represent a school building or an office building, in which people are trapped. A UAV can take images/videos of PoIs and send its collected information back to a nearby rescue station for decision-making. Unlike most existing studies that focused on only homogeneous UAVs, we here study the scheduling of $K$ heterogeneous UAVs, where different UAVs have different energy capacities and functionalities that lead to different monitoring qualities (monitoring rewards) of each PoI. For example, one …

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Robust Federated Learning Against Backdoor Attackers, Priyesh Ranjan, Ashish Gupta, Federico Corò, Sajal K. Das Jan 2023

Robust Federated Learning Against Backdoor Attackers, Priyesh Ranjan, Ashish Gupta, Federico Corò, Sajal K. Das

Computer Science Faculty Research & Creative Works

Federated Learning is a Privacy-Preserving Alter-Native for Distributed Learning with No Involvement of Data Transfer. as the Server Does Not Have Any Control on Clients' Actions, Some Adversaries May Participate in Learning to Introduce Corruption into the Underlying Model. Backdoor Attacker is One Such Adversary Who Injects a Trigger Pattern into the Data to Manipulate the Model Outcomes on a Specific Sub-Task. This Work Aims to Identify Backdoor Attackers and to Mitigate their Effects by Isolating their Weight Updates. Leveraging the Correlation between Clients' Gradients, We Propose Two Graph Theoretic Algorithms to Separate Out Attackers from the Benign Clients. under …

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Q-Learning For Sum-Throughput Optimization In Wireless Visible-Light Uav Networks, Yuwei Long, Nan Cen Jan 2023

Q-Learning For Sum-Throughput Optimization In Wireless Visible-Light Uav Networks, Yuwei Long, Nan Cen

Computer Science Faculty Research & Creative Works

Unmanned Aerial Vehicles (UAVs) Have Been Adopted as Aerial Base Stations (ABSs) to Provide Wireless Connectivity to Ground Users in Events of Increased Network Demand, and Points-Of-Failure Infrastructure (Such as in Disasters). However, with the Existing Crowded Radio Frequency (RF) Spectrum, UAV ABSs Cannot Provide High-Data-Rate Communication Required in 5G and beyond. to Address This Challenge, Visible Light Communication (VLC) is Proposed to Be Equipped on UAVs to Take Advantage of the Flexible and On-Demand Deployment Feature of the UAV, and the High-Data-Rate Communication of the VLC. However, VLC Has Strong Alignment Requirements between Transceivers, Therefore, How to Determine the …

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Lightesd: Fully-Automated And Lightweight Anomaly Detection Framework For Edge Computing, Ronit Das, Tie (Tony) T. Luo Jan 2023

Lightesd: Fully-Automated And Lightweight Anomaly Detection Framework For Edge Computing, Ronit Das, Tie (Tony) T. Luo

Computer Science Faculty Research & Creative Works

Anomaly Detection is Widely Used in a Broad Range of Domains from Cybersecurity to Manufacturing, Finance, and So On. Deep Learning based Anomaly Detection Has Recently Drawn Much Attention Because of its Superior Capability of Recognizing Complex Data Patterns and Identifying Outliers Accurately. However, Deep Learning Models Are Typically Iteratively Optimized in a Central Server with Input Data Gathered from Edge Devices, and Such Data Transfer between Edge Devices and the Central Server Impose Substantial overhead on the Network and Incur Additional Latency and Energy Consumption. to overcome This Problem, We Propose a Fully Automated, Lightweight, Statistical Learning based Anomaly …

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A Distributed Algorithm For Identifying Strongly Connected Components On Incremental Graphs, S. Srinivasan, A. Khanda, S. Srinivasan, A. Pandey, S. (Sajal) K. Das, S. Bhowmick, B. Norris Jan 2023

A Distributed Algorithm For Identifying Strongly Connected Components On Incremental Graphs, S. Srinivasan, A. Khanda, S. Srinivasan, A. Pandey, S. (Sajal) K. Das, S. Bhowmick, B. Norris

Computer Science Faculty Research & Creative Works

Incremental graphs that change over time capture the changing relationships of different entities. Given that many real-world networks are extremely large, it is often necessary to partition the network over many distributed systems and solve a complex graph problem over the partitioned network. This paper presents a distributed algorithm for identifying strongly connected components (SCC) on incremental graphs. We propose a two-phase asynchronous algorithm that involves storing the intermediate results between each iteration of dynamic updates in a novel meta-graph storage format for efficient recomputation of the SCC for successive iterations. To the best of our knowledge, this is the …

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Promoting Enhanced Decision-Making And Proactive Management For Modularization In The Construction Industry Using Risk-Based Approach, Analytical Hierarchy Process, And Graph Theory, Mohamad Abdul Nabi Jan 2023

Promoting Enhanced Decision-Making And Proactive Management For Modularization In The Construction Industry Using Risk-Based Approach, Analytical Hierarchy Process, And Graph Theory, Mohamad Abdul Nabi

Doctoral Dissertations

"Modularization is an approach that can potentially mitigate many of the current construction industry’s challenges. Despite the documented advantages of modularization, the industry is still not able to capitalize on its full potential and benefits. The latter is due to the outdated decision-making models that may not reflect the multiple factors involved in modular construction, the unique source of risks associated with modular construction methods, need for continuous improvement, and complex contractual requirements and disputes. As such, the goal is to promote the use of modularization in the construction industry by enhancing decision-making and proactive risk management. The associated objectives …

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Discharge Education Protocol To Improve Patient Satisfaction, Courtney Banzon Jan 2023

Discharge Education Protocol To Improve Patient Satisfaction, Courtney Banzon

Doctor of Nursing Practice (DNP) Practice Innovation Projects

Background: Discharge education that is patient-centered and started in a timely manner provides patients with the knowledge to care for themselves in the home setting and prevent adverse outcomes from occurring.
Methods: A discharge education protocol was implemented on a cardiology inpatient unit. The registered nurses were given a discharge checklist that focused on education and discharge planning with the patient within 24 hours of admission. Patients completed a survey that measured satisfaction of staff education. Surveys were collected for 10 weeks pre-intervention and compared with surveys 10 weeks post-intervention. Data was collected on the time of discharge with the …

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The Implementation Of A Palliative Needs Screening Intervention In A Neuro Critical Care Unit:, Marcus Goodfellow Jan 2023

The Implementation Of A Palliative Needs Screening Intervention In A Neuro Critical Care Unit:, Marcus Goodfellow

Doctor of Nursing Practice (DNP) Practice Innovation Projects

Purpose: Palliative care (PC) is an important and yet underutilized discipline in neuro critical care units (NCCUs). The purpose of this project was to integrate and improve PC in a NCCU by implementing a Palliative Needs Screening Intervention (PNSI). A PNSI consists of a list of criteria used to screen patients to identify family and patient PC needs.
Methods: A quality improvement project using a PNSI was implemented in a NCCU. Nurses completed 2 hours of pre-implementation PC education and a palliative perceived self-efficacy scale pre/post-implementation. A PNSI was developed and integrated into the NCCU’s daily rounding process.
Results: PNSI …

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The Effects Of Positive Behavioral Interventions And Supports On Emotional Regulation In Preschool Children, Alyssa Richardson Jan 2023

The Effects Of Positive Behavioral Interventions And Supports On Emotional Regulation In Preschool Children, Alyssa Richardson

Doctor of Nursing Practice (DNP) Practice Innovation Projects

Purpose: Positive Behavioral Interventions and Support (PBIS) is an evidence-based three-tiered framework that supports children and their behavioral needs including emotional behaviors. Emotional behavioral problems (EBP) seen at an early age have a major connection to their preschool setting and a significant effect on future long-term mental and physical health outcomes. 11
Methods: Preintervention, teachers completed PBIS and Teacher Observations of Classroom Adaptation-Checklist (TOCA-C) training. The teachers evaluated and assigned each student to a PBIS tier group using TOCA-C. Tier appropriate interventions were then implemented. TOCA-C was used 3 months post intervention to reevaluate each months post intervention to …

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Implementation Of A Suicide Prevention Program In A Rural School, Mackenzie Wieser Jan 2023

Implementation Of A Suicide Prevention Program In A Rural School, Mackenzie Wieser

Doctor of Nursing Practice (DNP) Practice Innovation Projects

Introduction: Suicide is a leading cause of death among today's youth. One in six youth have seriously considered attempting suicide, and one in 13 have attempted suicide at least once. Timely identification of those at risk and connection with appropriate help are critical. Elementary, middle, and high school teachers are ideally positioned to act as gatekeepers through early recognition of students in psychological distress and timely response and referral when appropriate.
Evidence Summary: Teachers report a sense of responsibility for providing indirect mental health services to youth but have a lack of sufficient training and preparedness. Kognito online simulations have …

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Improving Unlicensed Staff And Nurses’ Knowledge, Attitudes, And Practices Associated With Fluid Status Monitoring By The Utilization Of A Fluid Status Monitoring Protocol, Brittni Roberts Jan 2023

Improving Unlicensed Staff And Nurses’ Knowledge, Attitudes, And Practices Associated With Fluid Status Monitoring By The Utilization Of A Fluid Status Monitoring Protocol, Brittni Roberts

Doctor of Nursing Practice (DNP) Practice Innovation Projects

Background: Monitoring fluid status may prevent adverse patient outcomes. Nurses and unlicensed staff are responsible for inpatient fluid status monitoring and documentation.
Methods: Registered nurses and unlicensed staff completed a pre-intervention questionnaire measuring their knowledge, attitudes, and practices related to fluid status monitoring. They then completed an education session on fluid status monitoring and the new protocol. This protocol includes use of a fluid balance chart, a standardized daily weight process, and allowed patient participation. The protocol was implemented for 2 months, and the questionnaire was completed again post implementation.
Results: The results were analyzed using a Wilcoxon signed-rank test …

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Chronic Pain Assessment And Documentation Protocol Implementation In Home Health Care, Lannese Purtell Jan 2023

Chronic Pain Assessment And Documentation Protocol Implementation In Home Health Care, Lannese Purtell

Doctor of Nursing Practice (DNP) Practice Innovation Projects

Background/Purpose: Chronic pain management protocols are necessary in all aspects of health care to reduce negative perceptions and improve knowledge and comfort when caring for patients with chronic pain.
Methods: A pre-implementation Simplified Knowledge and Attitude Survey Regarding Pain (KASRP) and Comfort Survey were administered to rural Midwest home health nursing staff followed by implementation of a chronic pain management protocol. The protocol included an educational session on understanding and managing chronic pain, the use of the OPQRST handout to guide proper documentation, Pain Risk Factors Assessment Form, and a Managing Chronic Pain handout. The Simplified KASRP and Comfort Surveys …

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Impact Of A Respiratory Health Program On Attitudes, Knowledge, And Behaviors Related To Respirator Use In Farmers And Ranchers, Rebecca White Jan 2023

Impact Of A Respiratory Health Program On Attitudes, Knowledge, And Behaviors Related To Respirator Use In Farmers And Ranchers, Rebecca White

Doctor of Nursing Practice (DNP) Practice Innovation Projects

Background: Studies show an association between agricultural occupational hazards and respiratory illnesses. Personal protective equipment (PPE) has protective effects, but limited education and inadequate respiratory protection are common among agricultural workers.
Methods: A demographic questionnaire and two pre-intervention surveys were initially administered to farmers and ranchers. The surveys measured attitude, knowledge, and behaviors related to respiratory safety and PPE practices. Pulmonary function testing, educational handouts, and respirator fit testing was provided in a variety of settings, and one N95 mask was given to each participant. Two surveys were distributed 3 months post-intervention.
Results: The pre- and post-intervention surveys were matched …

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Clinical Care Protocol For Enhanced Nurse Competency In Caring For The Patient With An External Ventricular Drainage (Evd) Device, Lauren Orson Jan 2023

Clinical Care Protocol For Enhanced Nurse Competency In Caring For The Patient With An External Ventricular Drainage (Evd) Device, Lauren Orson

Doctor of Nursing Practice (DNP) Practice Innovation Projects

Background: The focus of this Doctor of Nursing Practice Project surrounds the need for an evidence-based clinical nursing protocol to augment nurse competency and therefore streamline care to patients with an external ventricular drain (EVD).
Methods: A clinical protocol alongside tailored education was used to promote nurse competency for EVD management. A pre-implementation survey was completed evaluating the nurses’ baseline competency when managing an EVD. The nursing protocol was then implemented for bedside use. After 2 months, the survey was completed once again and paired for statistical analysis.
Results: Statistical analysis using the Wilcoxon signed-rank nonparametric test with dependent matched …

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