Digital Commons Network^™

Navigating The Aftermath: Evaluating The Impact Of Covid-19 On Nurse Well-Being Resource Use, Vida Vizgirda Phd, Jd, Rn, Rachelle Lancaster Phd, Rn, Bree Aguilar Msn, Rn-Bc, Kim Karch Bsn, Crrn, Pmgt-Bc, Mary Hook Phd, Rn

Nursing Research & Professional Development Conference

Background: Nurses were experiencing occupational stress with negative psychological effects before COVID-19. The pandemic intensified healthcare delivery demands and took an emotional toll. Healthcare organizations worked to enhance existing wellness programs and develop new resources to support coping and resilience. Little is known about the actual use of wellness resources by nurses.

Purpose: To explore nurses’ wellness resource utilization three years after the start of COVID-19.

Method:A secondary data analysis of a descriptive cross-sectional dataset examined wellness resources use by nurses employed by the Midwest region of a large non-profit healthcare system. The analysis focused on nurse characteristics, psychological …

"What Matters" To Hospitalized Older Adults: Capturing The Perceptions Of Nurses, Bryn Adams Mn, Rnc-Mnn, Rnc-Ob, Cnl, Katherine Davey Ms, Rn, Cmsrn, Jennifer Giron Bsn, Rn, Laurae Kruse Msn, Rn, Phn, Cnl, Jennifer Sanders Bsn, Rn, Jeri Smith Acns-Bc, Linda Smith Bsn, Rn, Murad Taani Phd, Mph, Rn, Bayan Alqam Bsn, Msn, Rn, Mary Hook Phd Rn, Vida Vizgirda Phd, Jd Rn

Nursing Research & Professional Development Conference

Background

The Age Friendly Health System (AFHS) 4Ms framework is designed to be clinically implemented to provide reliable, high-quality age-friendly care to older adults with reduced harm and hospital-associated complications. The 4M concept of ‘What Matters to You’ (WMTY) refers to engaging clinicians in assessing and aligning a patient’s specific health outcome goals and care preferences to ensure patient-centered care. There is limited empirical evidence on the WMTY concept and none describing the implementation and impact when used by clinical nurses in hospital settings.

Purpose

To gain an in-depth understanding of the knowledge, perceptions, and experiences of nurses who implement …

The Importance Of Resolution Planning And Loss-Absorbing Capacity For Banks Systemic In Failure: Public Statement, Financial Stability Board

Documents

No abstract provided.

Out Of The Darkness: Shining A Light On Maternal Mental Health, Ashley M. Koeppen Bsn, Rnc-Ob, Cbc

Nursing Research & Professional Development Conference

Background

Perinatal Mood and Anxiety Disorders (PMADs) are the leading complication related to childbirth – exceeding both pre-eclampsia and gestational diabetes combined. Over 51% of patients who experience a PMAD go undiagnosed. Screening in the immediate postpartum period can predict episodes within 2-8 weeks postpartum.

Purpose

The purpose of this evidence-based project was to implement PMAD screening to all child-bearing patients admitted to the Family Birthing Center (FBC).

Implementation Plan

This project was based on the Iowa model. This project was done at Advocate Sherman Hospital, a level-II hospital, with an average of 1900 births per year. All child-bearing patients …

Anathema! Virtual Onboarding Strategies, Cost Savings With Satisfaction, Polly Safranski Msn Agcns-Bc Bs Rn Gero-Bc, Nicole Hartmann Bsn Rn

Nursing Research & Professional Development Conference

Introduction and Context

Pandemic experiences accelerated use of virtual processes to onboard and train nursing staff (McCrea, Leathers, Heitman, Hawkins, Abbott and Opsahl, 2021). Leaders remained resistant to virtual options citing fear, lack of technology, need to connect with teammates, and need to meet learning preferences.

A regional float pool needed a flexible onboarding program due to department expansion. Senior leadership tasked leaders to improve financial efficiencies, minimize travel, and use virtual meetings with existing technologies.

Implementation Strategy

Leaders created a virtual onboarding program using Microsoft Teams. Program evaluation took place using Forms. Convenience samples included leaders and newly hired …

Virtual Nursing: An Innovative Approach To Support Bedside Nurses And Patient Care, Aurora Smith Msn, Rn, Mantas Valeika Msn, Rn, Cnl

Nursing Research & Professional Development Conference

Introduction and Context

Virtual nursing has shown promise in healthcare by enhancing patient admission and discharge processes. Studies highlight that implementing virtual nursing roles increases patient and provider satisfaction while improving financial and quality care metrics. At a non-profit Midwestern hospital, nurses pinpointed workflow, throughput, and efficiency challenges particularly between the Emergency Department (ED) and inpatient units.

Implementation Strategy

Virtual RN (VRN) committees were established at local and regional levels and were instrumental in implementing and evaluating a pilot program. The committees conducted multiple Plan-Do-Study-Act cycles refining the intervention, focusing on virtual nursing roles dedicated to admissions and discharges. A …

Using A Virtual Nurse Program To Alleviate Bedside Nurse Burden, Theresa Brindise Ms, Bsn, Rn, Cindy Welsh Rn, Mba, Fache, Laura Rashleger Msn, Rn, Ne-Bc, Johanna Lemke Bsn, Ma, Rn, Nea-Bc, Brenda Deane Msn, Rn, Ccrn, Npd-Bc, Nea-Bc, Kathryn Ferraro Msh/Hi, Rn, Ni-Bc

Nursing Research & Professional Development Conference

Introduction and Context

The Virtual Nurse Program emerged as a solution to address nursing workforce shortages. The program used an innovative approach to care to create an integrated care model that enhanced patient and RN satisfaction, throughput, turnover, vacancy, and demonstrated a financial impact.

Implementation Strategy

The Virtual RN (VRN) Program was implemented at five pilot hospitals within a 27-hospital region. Stakeholders were engaged to discuss unit culture, patient demographics, and program focus. SharePoint technology and links accessible via QR code facilitated communication, resource sharing, and knowledge dissemination. Workflows supported admissions and discharges. Daily huddles identified opportunities in real time. …

Creating A Comprehensive Navigation Documentation Tool To Improve Reporting, Candace Bashaw Msn, Rn, Ocn, Kris Blackley Msn, Rn, Bba, Ocn, Jilly Hyson Msn, Np-C, Aocnp, Emily Ann-Marie Copus Msw, Opn-Cg, Carla Strom Mla, Laura Kabrich Msn, Rn, Ba Psych Acm, Laura Hayes Msn, Rn, Ocn

Nursing Research & Professional Development Conference

Introduction and Context: Inconsistent data collection and reporting is one of the biggest threats to supporting a navigation program 1. Quality data is used to capture navigation outcomes that emphasize the importance and support expansion of navigation programs. Previous documentation at Levine Cancer (LC) and Wake Forest Baptist (WFB) was limited and most of the information was documented in narrative form. Oncology programs at LC and WFB integrated, requiring navigation teams to create a new shared documentation tool that would capture detailed and measurable data to enhance outcome reporting.

Implementation Strategy: Representatives from LC and WFB met routinely to merge …

Integrated Nursing Care For Severe, Persistent Mental Illness, Donna Bartlett Msn, Rn, Pmh-Bc, Erin Sistare Bsn, Rn, Pmh-Bc, Brenda Washington Bsn, Rn, Pmh-Bc

Nursing Research & Professional Development Conference

Introduction and Context: Treatment for Severe, Persistent Mental Illness requires a comprehensive, integrated clinical framework to encourage accessible mental health care1,2. The illness is marked by fluctuations in severity and stages of recovery3. Treatment is often complicated by unmet social needs and healthcare stigma1,4. The Adult Integrated Continuum clinic nurses collaborate with a multidisciplinary team to address barriers.

Implementation Strategy: Clinic nurses designed a case management program using various components of integrated treatment for the high-risk psychotropic medication, clozapine. The program began with 9 patients in 1991, and today serves 120. Dedicated nursing staff promote patient’s adherence and access to …

Measuring Professional Governance Over Time: What Makes It Work?, Elizabeth Sheehan Bsn, Rn, Ccrn, Kendall Anderson Msn, Rn, Cpn, Wendy Tuzik Micek Phd, Rn, Nea-Bc, Jessica Panice Msn, Aprn, Pcns-Bc

Nursing Research & Professional Development Conference

Background

Advocate Children’s Hospital (ACH) undertook a 5-year longitudinal study to assess a redesigned shared governance model. This study, re-launching a 2015 initiative, used 2019 data as the baseline. The goal was to compare professional governance structures over time, enhancing nurse autonomy, accountability, and ownership.

Purpose

This descriptive study aimed to evaluate the impact of the redesigned shared governance model at ACH. It sought to measure changes in professional governance scores before and after implementing the new model and identify factors influencing these changes.

Methods

The study included all associates at the Oak Lawn, Park Ridge campuses, covering inpatient, emergency, …

Don’T Scratch Your Eyes: A Quality Improvement Project To Reduce Incidence Of Corneal Abrasions, Krista Scharpf Bsn, Rn, Cnor, Jessica Krueger Bsn, Rn, Capa

Nursing Research & Professional Development Conference

Background: Surgical patients undergoing general anesthesia are 83% more likely to sustain a corneal abrasion perioperatively. A study conducted by the American Society of Anesthesiologists reported that 35% of all ocular injuries were corneal abrasions. Additionally, corneal abrasions account for 3% to 8% of malpractice claims against anesthesiologists and result in a median settlement of $330,000. Pain, increased in length of stay, additional treatment and follow-up visits can contribute to decreased patient satisfaction.

Local Problem: Over an eight-week period in early 2024, 239 patients underwent general anesthesia. Of these patients, 2.1% sustained a corneal abrasion perioperatively. Upon investigation of identified …

Optimizing Neurodevelopmental Outcomes By Increasing Skin-To-Skin Care For Neonatal Intensive Care Unit Patients, Margaret Behm Aprn, Msn, Rnc-Nic, Ntmnc, Christina Eldrenkamp Ba, Bsn, Rnc-Nic, C-Elbw, Angela Lake Msn, Rnc-Nic, C-Elbw

Nursing Research & Professional Development Conference

Background: Recently, the World Health Organization and American Academy of Pediatrics recommended immediate and prolonged skin-to-skin or kangaroo care for all newborns, including preterm infants. This evidence-based intervention has the potential to save lives and improve neurodevelopmental outcomes when applied to Neonatal Intensive Care Unit patients.

Local Problem: Providing skin-to-skin care for sick newborns is a complex process of moving a tiny, sick patient, who is often attached to life sustaining equipment, from an incubator to the patient’s parent and back again. We were curious to understand how our practices compare to the 2022 recommendations and if process improvements could …

Jazz & Contemporary Combos, Department Of Music, University Of Richmond

Music Department Concert Programs

No abstract provided.

Filled In Ballot, Angela Brayton

Get Out The Vote Poster Exhibit

Non-partisan poster made with the intent to encourage viewers to vote. It shows two ovals like those seen on a ballot with one scribbled in as though someone just voted.

Decreasing The No-Show Rate In A Mental Health Clinic., Aina Oyibo

Walden Dissertations and Doctoral Studies

The identified practice problem of high no-show rates within a mental health clinic setting creates immense challenges to patient care continuity and clinic efficiency. This issue, in the context of nursing practice, needs resolution for improved patient outcomes and the best possible utilization of clinic resources. The practice-focused question to guide this doctoral project is: Will staff education on the importance of consistent appointment reminders improve knowledge? This project's intervention in staff education concerning the importance of consistent appointment reminders focuses on telephone reminders. A literature search used CINAHL, MEDLINE, PubMed, Google Scholar, and textbooks. All the articles were peer-reviewed …

Opaque Theism And Divine Testimony, Erik J. Wielenberg

Philosophy Faculty publications

A much-discussed objection to skeptical theism is that skeptical theism implies that divine testimony cannot provide us with knowledge. Here I argue that it is not skeptical theism that raises doubts about the trustworthiness of divine testimony; rather, the vast amount of inscrutable evil in our world together with God’s track record of deception is the source of the trouble. I draw on that insight to develop further my divine deception argument (Wielenberg 2014). The argument I will defend goes roughly like this: There is a lot of inscrutable evil in the world and the Christian God has a track …

Responses Of Salvia Nemorosa L. To Silver Nanoparticle And Methyl Jasmonate Stimuli Under Salt Stress, Bi̇lal Andi̇ç, Pinar Orcan

Turkish Journal of Botany

The present study evaluated the effects of methyl jasmonate (MeJA) and silver nanoparticles (AgNP) on Salvia nemorosa L. under NaCl stress. To this end, total soluble sugar, total phenolic and flavonoid contents, total antioxidant capacity, H2O2 content, photosynthetic pigment, MDA, and proline contents, and enzymatic antioxidant activities were assessed. When the results for photosynthetic pigment contents were evaluated, the highest levels of total carotenoid content, chlorophyll a, and chlorophyll b were obtained with NaCl + AgNP + MeJA treatment. Under NaCl stress, MDA and H2O2 levels increased, but they decreased when AgNP and MeJA were applied. All treatment groups had …

Object Detection Of Lightweight Transformer Based On Knowledge Distillation, Gaihua Wang, Kehong Li, Qian Long, Jingxuan Yao, Bolun Zhu, Zhengshu Zhou, Xuran Pan

Journal of System Simulation

Abstract: In autonomous driving, the efficiency and accuracy of object detection are significant. Object detection based on Transformer structure has gradually become the mainstream method, eliminating the complex anchor generation and non-maximum suppression (NMS). It has problems of high computing cost and slow convergence. An object detection model of the based lightweight pooling transformer (LPT) is designed, which contains a pooling backbone network and dual pooling attention mechanism. A general knowledge distillation method is intended for the DETR (detection transformer) model, which transfers prediction results, query vector, and features extracted by the teacher as knowledge to the LPT model to …

A Hybrid Genetic Search Algorithm For Capacitated Electric Vehicle Routing Problem, Dongyao Jin, Mi Liu, Yena Zhu, Yijiang Zhao

Journal of System Simulation

Abstract: The capacitated electric vehicle routing problem (CEVRP) is an NP-hard combinatorial optimization problem in logistics distribution, aiming to minimize the total delivery distance of electric vehicles while satisfying carrying capacity and battery charge constraints. A hybrid genetic search algorithm is proposed to solve CEVRP by decomposing it into two subproblems: capacitated vehicle routing problem (CVRP) and fixed-route vehicle charging problem (FRVCP). A coding scheme with a two-layer chromosome structure is designed to represent the decision variables of these two subproblems. A Split operation is employed to generate vehicle routes for solving CVRP, and five neighborhood search operators, including Relocate, …

Traffic Sign Recognition Model With Long-Tail Distribution Based On Yolox-Tiny, Yunpeng Wu, Yingxiong Fu, Lijun Shen, Feng Cui

Journal of System Simulation

Abstract: Accurate recognition of traffic signs plays an important role in the field of intelligent driving. Traffic sign training datasets with long-tail distribution increase the difficulty of traffic sign recognition. A traffic sign recognition model with long-tail distribution based on YOLOX-Tiny was proposed to improve the poor performance of the model trained on long-tail distribution datasets. A long-tail traffic sign dataset was created based on the TT100K_2021 (tsinghua-tencent 100K 2021) dataset. YOLOX-Tiny was chosen as the underlying model by considering picture numbers in datasets, sample distribution, and model size. Equalization loss v2 (EQL v2) was used as classification loss to …

Real-Time Lidar Slam Algorithm Based On Distribution Optimal Registration, Weigang Li, Chuxiang Yu, Yongqiang Wang, Shaofeng Zou

Journal of System Simulation

Abstract: When scanning the surrounding environment, a lidar will generate some cluttered and sparse point cloud, which will cause excessive distribution fitting errors and correlation distances in the registration process, thus affecting the accuracy of the registration algorithm and the effect of simultaneous localization and mapping (SLAM). To address this problem, a real-time lidar SLAM algorithm based on distribution optimal registration is proposed. An eigenspectrum filter is designed, which takes the normalized minimum eigenvalue as the filtering object to filter out the points that do not match the set distribution in order to reduce the distribution fitting error. Secondly, a …

Research On Green Job Shop Scheduling Based On Herd Immunity Optimizer, Xunde Ma, Li Bi, Junjie Wang

Journal of System Simulation

Abstract: In view of the green flexible job shop scheduling problem where machines have multiple speeds, a green flexible job shop scheduling model under multiple speeds was constructed to minimize the makespan and total energy consumption under different speeds. A discrete coronavirus herd immunity optimizer (DCHIO) was proposed for a solution. A discrete individual updating method was introduced for the relatively large solution space of the multi-speed problem, based on which a population updating mechanism with multi-scale joint search was proposed to search the solution space quickly and uniformly. A dynamic mutation operation was designed to enhance the population diversity …

Agv Scheduling Problem At Automated Terminals Based On Improved Dqn Algorithm, Chengji Liang, Shidong Zhang, Yu Wang, Bin Lu

Journal of System Simulation

Abstract: A future tasks considering deep Q-network (F-DQN) algorithm was proposed to output realtime scheduling results of automated guided vehicles (AGVs) at automated terminals. This algorithm combined the advantages of real-time scheduling and static scheduling, improving the system status by considering static future task information when making real-time decisions, so as to obtain a better scheduling solution. In this study, the actual layout and equipment conditions of the Yangshan phase IV automated terminal were considered, and a series of simulation experiments were conducted using the Plant Simulation software. The experimental results show that the F-DQN algorithm can effectively solve the …

Global-Local Fusion For Efficient 3d Object Detection, Bin Lu, Minghan Wang, Yang Sun, Zhenyu Yang

Journal of System Simulation

Abstract: As the 3D object detection based on point clouds shows an incapacity of feature extraction and incongruity between classification and regression, this research introduces a novel ResCST architecture based on the SECOND network. It incorporates residual connections into the 3D sparse convolutional layer, with the advantages of capturing long-distance dependent relation by SwinTransformer and obtaining local features by convolutional neural network integrated, proposing the CNN-SwinTransformer hybrid model for enhanced feature extraction. It introduces the RCIoU method for the joint optimization of classification and regression tasks. The experimental results show that the model achieves a 3D detection accuracy of 91.21%, …

Optimization Of Crucial Targets For Air Defense Based On Combined Weighting-Topsis Model, Peng Zhang, Ke Feng

Journal of System Simulation

Abstract: To optimize the selection of crucial defended targets in regional air defense operations and improve the selection accuracy, this paper constructs a factor model considering the importance of air defense targets from the perspectives of target value, defense urgency, target vulnerability, and target recovery. Under the optimization of the TOPSIS method through a combination of the ANP and entropy weight methods, tendentious opinions of commanders and the excessive reliance on objective data can be overcome to ensure the factor weighting is more reasonable and accurate; Super Decisions is used to calculate the weights of the ANP method, accelerating data …

Eecbs Multi-Robot Path Planning Based On Variable Suboptimal Factors Of Prioritizing Conflicts, Xingyu Yan, Niya Wang, Jianlin Mao, Zhigang He, Dayan Li

Journal of System Simulation

Abstract: In the process of multi-robot path planning (MRPP), the unavoidable key conflicts between the optimal paths have a significant impact on the efficiency of path solving. To address this issue, an MRPP method based on variable suboptimal factors of prioritizing conflicts (PC) was proposed. Path search was performed at the lower layer of the explicit estimation conflict-based search (EECBS) algorithm; in the upper layer of the EECBS algorithm framework, the PC was determined, and the suboptimal factor of the robot with key conflicts was adaptively increased; by analyzing the distribution of obstacles in the surrounding neighborhoods of key conflicts, …

Slam Dynamic Algorithm Based On Improved Feature Description, Qiang Fu, Xianyun Teng, Yuanfa Ji, Fenghua Ren

Journal of System Simulation

Abstract: The original ORB descriptor algorithm has a low matching accuracy and long matching time, the positioning accuracy and robustness of the SLAM(simultaneous localization and mapping) system are severely disturbed by moving objects in dynamic scenes, and the ORB-SLAM3 system is incapable of constructing dense maps. To address the above problems, this paper proposes an improved ORB-SLAM3 based on the BEBLID descriptor and object detection. A lightweight YOLOv5s dynamic object detection network and dynamic feature removal module are fused with the tracking thread to improve the system's positioning accuracy. Replacing the original feature description algorithm, an improved local image descriptor …

Safe, Empowered Tech For Adolescents: A Framework For Research And Action, Miriam Temin, Evalin Karijo

Adolescents and Young People

No abstract provided.

The Bg News November 13, 2024, Bowling Green State University

BG News (Student Newspaper)

The BGSU campus student newspaper. November 13, 2024. Volume 104-Issue 11.

Midweek Memo, Georgia Southern University

Midweek Memo

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