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Full-Text Articles in Entire DC Network
Lindenwood Digest, August 20, 2025, Lindenwood University
Lindenwood Digest, August 20, 2025, Lindenwood University
Lindenwood Digest
The Lindenwood Digest has been a digital employee newsletter since 2009.
The Role Of Digital Gaming In Addressing Loneliness Among Older Adults: A Scoping Review, Eunie Jung, Jiadong Yu
The Role Of Digital Gaming In Addressing Loneliness Among Older Adults: A Scoping Review, Eunie Jung, Jiadong Yu
Pacific Faculty Work
As the world’s population of older adults continues to grow rapidly, combating loneliness and social isolation has become an emerging health concern for this group. Though there has been increasing interest within the scientific community in exploring digital games as an intervention for loneliness, research on gaming as an intervention is a relatively new field of study. This scoping review examines the current state of research on the impact of digital gaming on loneliness in the older adult population and was conducted in accordance with the 2018 Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) …
The Relationship Of Organizational Health Safety Efforts Specific To Covid-19 And Perceived Organizational Support On Affective Organizational Commitment, Suzzee Meusel
Walden Dissertations and Doctoral Studies
When health safety efforts for COVID-19 are perceived negatively, the implementation of health safety efforts by employers may not be effective and are therefore likely to fail in protecting employee health, such as in the agriculture industry. Guided by social exchange theory, organizational support theory, and the theory of organizational commitment, this quantitative correlational study involved examining relationships between organizational health safety efforts specific to COVID-19 (OHSE-C19), perceived organizational support (POS), and affective organizational commitment (AOC) among poultry hatchery employees. The study entailed analyzing survey and opinion poll data from 90 participants from two poultry hatcheries in Iowa and Pennsylvania, …
Direct Control Strategy Using Polynomial Fuzzy-Based Adaptive Fractional Order Pid Controller, Ali Rospawan, Clara Lavita Angelina, Faisal Samsuri, Muhammad Yeza Baihaqi, Edmun Halawa, Muhammad Munajat, Vincent Vincent, Surawan Setiyadi, Irwan Purnama, Joni Welman Simatupang
Direct Control Strategy Using Polynomial Fuzzy-Based Adaptive Fractional Order Pid Controller, Ali Rospawan, Clara Lavita Angelina, Faisal Samsuri, Muhammad Yeza Baihaqi, Edmun Halawa, Muhammad Munajat, Vincent Vincent, Surawan Setiyadi, Irwan Purnama, Joni Welman Simatupang
Makara Journal of Technology
This paper presents a novel direct control strategy using a polynomial fuzzy neural network-based adaptive fractional order proportional integral derivative (PFNN-AFOPID) controller for nonlinear and time-varying systems. The proposed approach integrates the enhanced flexibility of fractional order calculus PID with the superior nonlinear approximation capabilities of polynomial fuzzy models, enabling dynamic adjustment of all control parameters without requiring precise mathematical modeling of system dynamics. By extending traditional PID control with fractional-order operations, the controller achieves improved frequency response and robustness against disturbances. Experimental validation on a DC motor position control system demonstrates significant performance improvements. Compared to traditional PID, the …
Documents From The August 27, 2025 Meeting Of The Associated Students Of The University Of Montana (Asum), Kate Austin Payne, Associated Students Of The University Of Montana
Documents From The August 27, 2025 Meeting Of The Associated Students Of The University Of Montana (Asum), Kate Austin Payne, Associated Students Of The University Of Montana
Senate Meeting Agendas and Minutes, 2007-Present
Description: Agenda and meeting minutes from the August 27, 2025 meeting of the Associated Students of the University of Montana (ASUM).
Spartan Daily, August 27, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, August 27, 2025, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2025
Volume 165, Issue 3
Preparing Educators To Meet The Unique Needs Of Multilingual Learners, Anna Adamo
Preparing Educators To Meet The Unique Needs Of Multilingual Learners, Anna Adamo
Masters Projects
Effectively educating multilingual learners requires knowledge of culturally and linguistically responsive teaching, as well as an understanding of translanguaging techniques. Research shows that the population of multilingual learners continues to grow in the United States, however, qualified educators with knowledge of the specific needs of this population are lacking. This project explores the need for ongoing support for secondary novice and non-ESL certified educators who teach multilingual students. Included in this project is a complete full year of professional development sessions ranging from culturally and linguistically responsive teaching practices, guidelines for accommodations and modifications, opportunities for classroom observations, and technology …
Modulating Treatment Outcomes Of Patients With Solid Tumors In Immunotherapy Trials: A Drug Interaction Analysis From A Phase 1 Unit, Camila Braganca Xavier, Clark R Andersen, Joann Lim, Julian H Slade, Stacie A Bean, Lei Kang, Hung Le, Apostolia M Tsimberidou, Aung Naing, David S Hong, Ecaterina E Dumbrava, Jordi Rodon Ahnert, Paula R Pohlmann, Sarina A Piha-Paul, Stephane Champiat, Timothy A Yap, Tin-Yun Tang, Funda Meric-Bernstam, Siqing Fu
Modulating Treatment Outcomes Of Patients With Solid Tumors In Immunotherapy Trials: A Drug Interaction Analysis From A Phase 1 Unit, Camila Braganca Xavier, Clark R Andersen, Joann Lim, Julian H Slade, Stacie A Bean, Lei Kang, Hung Le, Apostolia M Tsimberidou, Aung Naing, David S Hong, Ecaterina E Dumbrava, Jordi Rodon Ahnert, Paula R Pohlmann, Sarina A Piha-Paul, Stephane Champiat, Timothy A Yap, Tin-Yun Tang, Funda Meric-Bernstam, Siqing Fu
Faculty, Staff and Student Publications
Concurrent use of medications can modulate the effectiveness of immunotherapy. Although this interaction is well documented for immune checkpoint inhibitors, whether this occurs with new experimental compounds has not been evaluated. A computerized data extraction tool was used to collect clinical data and identify the prescription of a predefined set of medications within 30 days of immunotherapy infusion in the Department of Investigational Cancer Therapeutics at The University of Texas MD Anderson Cancer Center. The primary endpoints were median overall survival (OS) and progression-free survival. Tumor responses were addressed using RECIST. We identified 897 patients. The most prevalent tumor types …
2025-05-27 Executive Council Retreat Minutes, Susie Salazar
2025-05-27 Executive Council Retreat Minutes, Susie Salazar
Executive Council Minutes
No abstract provided.
2025-07-15 Executive Council Minutes, Susie Salazar
2025-07-15 Executive Council Minutes, Susie Salazar
Executive Council Minutes
No abstract provided.
A Comparative Of Detecting Physical And Cyber Attacks On Drones Using Machine Learning And Deep Learning Techniques, Khattab M Ali Alheeti, Sara Abbas Rafa, Maha Mahmood, Aythem Khairi Kareem, Mohammad Aljanabi, Ahmed Adil Nafea
A Comparative Of Detecting Physical And Cyber Attacks On Drones Using Machine Learning And Deep Learning Techniques, Khattab M Ali Alheeti, Sara Abbas Rafa, Maha Mahmood, Aythem Khairi Kareem, Mohammad Aljanabi, Ahmed Adil Nafea
Baghdad Science Journal
Multitudes of Unmanned Aerial Vehicles (UAVs) are generally embraced in military and civilian applications. Yet, this physical-cyber method is intimidated by cyber-attacks. Recently, Machine Learning (ML) based attacks detection approaches have been effectively embraced to detect cyber-attacks. This paper presented the Intrusion Detection Security (IDS) approach. The proposed approach investigates UAVs' cyber and physical attributes under normal process and attack circumstances. Two types of cyber-attacks have been classified: Denial-of-service (DoS) and replay. This study developed IDS approaches established on ML and Deep Learning (DL) prototypes, including Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Naive Bayes (NB), and One Dimensional Convolutional …
Accurate Skin Lesion Segmentation Through Feature Fusion In Dermoscopy Images, Fallah H. Najjar, Farhan Mohamed, Asniyani Nur Haidar Abdullah, Mohd Shafry Mohd Rahim, Karrar A. Kadhim
Accurate Skin Lesion Segmentation Through Feature Fusion In Dermoscopy Images, Fallah H. Najjar, Farhan Mohamed, Asniyani Nur Haidar Abdullah, Mohd Shafry Mohd Rahim, Karrar A. Kadhim
Baghdad Science Journal
In the diagnosis of skin cancer, dermoscopy images have to be evaluated for feature extraction. In this paper, the authors design a new method to enhance the skin dermoscopy image segmentation accuracy by eliminating artifacts and hair using photometric quasi-invariants, followed by a unique approach for skin lesion segmentation using histogram-based feature fusion. Histogram features are used to extract data range and mean images from the histogram, and these are fused with the free artifacts and hair image to generate the final image. the authors used the PH2 dataset for the proposed segmentation method because it contains the ground truth …
Employment Status And Evaluation Of Government Performance In Covid-19 Containment : Evidence From China, Jinye Chen
Employment Status And Evaluation Of Government Performance In Covid-19 Containment : Evidence From China, Jinye Chen
Lingnan Theses (MPhil & PhD)
Evaluation of government performance of citizens is crucial for regime stability as it could help authoritarian regimes to identify and address brewing problems before they fuel public discontent. It can also act as a potential mechanism for improving government performance and public services and establishing a good image of government. Following the outbreak of the Covid-19 pandemic, Chinese government has adopted the zero-COVID policy to keep cases as close to zero as possible until December 2022. China’s job market also faced big pressure from the economic downturn caused by the Covid-19 pandemic. The pandemic is a shock that impact the …
2025-07-08 Executive Council Minutes, Susie Salazar
2025-07-08 Executive Council Minutes, Susie Salazar
Executive Council Minutes
No abstract provided.
It Takes A Village: Addressing Community Needs To Implement Firearm Prohibitions For Domestic Violence Protective Order Respondents, Kellie R Lynch, Michael K Gusmano, Jeff R Temple, Sarah Lane
It Takes A Village: Addressing Community Needs To Implement Firearm Prohibitions For Domestic Violence Protective Order Respondents, Kellie R Lynch, Michael K Gusmano, Jeff R Temple, Sarah Lane
Faculty, Staff and Student Publications
Prohibiting domestic violence protective order (DVPO) respondents from firearms is an effective strategy to prevent intimate partner homicide. However, DVPO gun laws vary considerably across states, and the implementation of such laws is inconsistent across localities. Local context, such as resource availability, priorities, and politics, differs across types of communities and impacts the implementation of laws. We conducted in-depth key informant interviews with victim service and criminal justice professionals (N = 27) working in urban communities, rural communities, and statewide organizations to better understand: (a) what communities need to effectively prohibit DVPO respondents from firearms (i.e., the DVPO gun …
Accelerating The Fusion Workforce In The Usa, Carlos Paz-Soldan, Eva Belonohy, Troy Carter, Laleh E. Coté, Evdokiya Kostadinova, Calvin Lowe, Subash L. Sharma, Sybil De Clark, Jaydeep Deshpande, Kate Kelly, Bobbi Makani, David A. Schaffner, Kathreen E. Thome
Accelerating The Fusion Workforce In The Usa, Carlos Paz-Soldan, Eva Belonohy, Troy Carter, Laleh E. Coté, Evdokiya Kostadinova, Calvin Lowe, Subash L. Sharma, Sybil De Clark, Jaydeep Deshpande, Kate Kelly, Bobbi Makani, David A. Schaffner, Kathreen E. Thome
Faculty Research, Scholarly, and Creative Activity
The fusion energy research and development landscape has seen significant advances in recent years, with important scientific and technological breakthroughs and a rapid rise of investment in the private sector. The workforce needs of the nascent fusion industry are growing at a rate that academic workforce development programs are not currently able to match. This paper presents the findings of the Workforce Accelerator for Fusion Energy Development Conference held in Hampton, Virginia, United States of America (USA), on 29-30 May 2024, which was funded by the National Science Foundation of the USA. A major goal of the conference was to …
Context-Aware Natural Language Processing For Malware Detection, Helen Liu, Summer Mccune, Quang Duy Tran, Fabio Di Troia, Younghee Park
Context-Aware Natural Language Processing For Malware Detection, Helen Liu, Summer Mccune, Quang Duy Tran, Fabio Di Troia, Younghee Park
Faculty Research, Scholarly, and Creative Activity
As malware continues to evolve and cyber attacks become increasingly prevalent, it is critical to develop effective malware classification techniques for the detection and prevention of such malicious attacks. In our research, we approach malware classification from a natural language processing perspective to explore how various tokenization techniques on malware opcode features can enhance classification accuracy and combat malware obfuscation and evolution techniques with a deep learning approach, previously unaddressed by existing research. We bridge this gap by conducting extensive hyperparameter tuning experiments that examine the effects of five common tokenization methods, that is, White Space Separation, Top Single Words, …
Enhance Telecom-Related International Indicators Using Machine Learning, Omar Alnemer
Enhance Telecom-Related International Indicators Using Machine Learning, Omar Alnemer
Theses
This thesis investigates the enhancement of the Network Readiness Index (NRI) through the application of machine learning methodologies to refine indicator weighting, clustering, and dimensionality. The study builds on research promoting data-driven methods to address the limitations of equal-weighted indices in capturing indicator importance and interdependence. The research aims to evaluate how unsupervised and supervised learning methods can optimize the interpretation of NRI data. The study focuses on three primary research questions: (1) How can PCA be used to reduce the dimensionality of the NRI without significant loss of information? (2) Can k-means clustering reveal meaningful groups of countries with …
Poster: Development Of Situation Awareness Measurement For Cybersecurity Professionals, David Schuster, Crystal Fausett, Maiyi Huang, Sabina M. Patel, Jenna Korentsides, Joseph R. Keebler, Elizabeth H. Lazzara
Poster: Development Of Situation Awareness Measurement For Cybersecurity Professionals, David Schuster, Crystal Fausett, Maiyi Huang, Sabina M. Patel, Jenna Korentsides, Joseph R. Keebler, Elizabeth H. Lazzara
Faculty Research, Scholarly, and Creative Activity
Better understanding of the implications of many aspects of human behavior, especially that of cybersecurity professionals, can help develop the cybersecurity workforce. Despite efforts aimed at documenting and understanding cybersecurity professionals' knowledge, understanding of how cognition supports human performance in specific cybersecurity tasks remains limited. Specifically, understanding of the elements of situation awareness (SA), defined as goal-directed knowledge, is necessary to support human-centered evaluation, selection, training, and recruitment strategies. In this poster, we propose a framework for developing measures of situation awareness for cybersecurity professionals and a method of capturing initial effectiveness data that does not rely on access to …
Poster: Cloudsweeper: Leveraging Large Language Models To Personalize Sensitive Archive Search, Victor Escuerdo, Sergio Talavera, Gautam Santhanu Thampy, Ivan Torres, Daniel Vega Lojo, Chris Kanich, Magdalini Eirinaki
Poster: Cloudsweeper: Leveraging Large Language Models To Personalize Sensitive Archive Search, Victor Escuerdo, Sergio Talavera, Gautam Santhanu Thampy, Ivan Torres, Daniel Vega Lojo, Chris Kanich, Magdalini Eirinaki
Faculty Research, Scholarly, and Creative Activity
As cyber threats continue to evolve, overlooked or neglected files stored in cloud services can pose significant risks to personal privacy and data security. In this paper we present Cloudsweeper, a system that aims to improve cloud storage security by creating tools that help users identify and manage sensitive or unwanted files. Cloudsweeper leverages Large Language Models (LLMs) with a Retrieval-Augmented Generation (RAG) architecture to develop a personalized and privacy-focused archive search system. Cloudsweeper represents an innovative approach to secure archive management, balancing user control and privacy in cloud storage environments.
Poster: Threat Intelligence & Modeling Practices For Iomt Devices Using Wi-Fi Communications, Eva Wilson, Cody Ourique, Bernardo Flores
Poster: Threat Intelligence & Modeling Practices For Iomt Devices Using Wi-Fi Communications, Eva Wilson, Cody Ourique, Bernardo Flores
Faculty Research, Scholarly, and Creative Activity
The integration of internet connectivity into medical devices, known as the Internet of Medical Things (IoMT), is revolutionizing modern healthcare through remote monitoring and advanced diagnostics. Among these devices, the Continuous Positive Airway Pressure (CPAP) machine plays a critical role in managing patients with Sleep Apnea. However, the security of CPAP devices presents significant concerns due to potential vulnerabilities that could lead to critical failures, such as device shutdowns. An analysis was made of the device's connectivity interface, to identify potential exploit points and vulnerabilities. Additionally, we evaluated whether existing threat modeling frameworks - namely the MITRE Adversarial Tactics, Techniques, …
Synthetic Malware Image Generation Based On Generative Models Against Zero-Day Attacks, Arjun Sudheer, Ayesha Ahmed, Fabio Di Troia, Younghee Park
Synthetic Malware Image Generation Based On Generative Models Against Zero-Day Attacks, Arjun Sudheer, Ayesha Ahmed, Fabio Di Troia, Younghee Park
Faculty Research, Scholarly, and Creative Activity
Malware detection is a critical task for protecting our assets from attacks. However, traditional approaches to malware detection often struggle with limited datasets, which hinder the effectiveness of machine learning models. In this paper, we propose a malware image generation system designed to craft high-quality synthetic malware image samples, addressing the challenges posed by small datasets in malware detection. The proposed system utilizes two popular generative models, WGAN-GP and Diffusion, to generate synthetic malware images. It converts malware binary files into image files using four different color spaces: monochrome, grayscale, RGB, and CMYK. These images are then evaluated based on …
Free-Running Ring Oscillators For Crystal-Free Communication Systems: Design, Simulation Challenges, And Frequency Stability Improvements, Haziq Rohail
Dissertations and Theses
This thesis presents techniques for enhancing the frequency stability of ring oscillators (ROs) for crystal-free wireless communication systems. The first major contribution is a tutorial-style study of frequency stability metrics, providing clear definitions, conversions methods, and comparative analysis of commonly used figures of merit such as phase noise, Allan deviation, and jitter. The second contribution addresses the challenges of simulating phase noise in free-running ROs. Key techniques including Periodic Steady-State Noise (PNoise), Harmonic Balance Noise (HBNoise), and transient noise analysis are evaluated in terms of accuracy, convergence behavior, and simulation runtime. Based on these results, practical guidelines are offered for …
Nf1-Depleted Er+ Breast Cancers Are Differentially Sensitive To Cdk4/6 Inhibitors, Ze-Yi Zheng, Anran Chen, Eric J Jaehnig, Meenakshi Anurag, Jonathan T Lei, Long Feng, Chenwei Wang, Diana Fandino, Purba Singh, Hilda Kennedy, Ghazal Yadav, Craig T Vollert, Jill Tsai, Xi Chen, Yi Li, Bora Lim, Alastair Thompson, Shunqiang Li, Charles E Foulds, Bing Zhang, Matthew J Ellis, Eric C Chang
Nf1-Depleted Er+ Breast Cancers Are Differentially Sensitive To Cdk4/6 Inhibitors, Ze-Yi Zheng, Anran Chen, Eric J Jaehnig, Meenakshi Anurag, Jonathan T Lei, Long Feng, Chenwei Wang, Diana Fandino, Purba Singh, Hilda Kennedy, Ghazal Yadav, Craig T Vollert, Jill Tsai, Xi Chen, Yi Li, Bora Lim, Alastair Thompson, Shunqiang Li, Charles E Foulds, Bing Zhang, Matthew J Ellis, Eric C Chang
Faculty, Staff and Students Publications
Neurofibromin/NF1 is a RAS (rat sarcoma virus) GTPase activating protein and estrogen receptor (ER) transcriptional corepressor. NF1low status, identified by copy number loss or low mRNA/protein expression is associated with endocrine therapy resistance in approximately 20% of ER+/HER2− (human epidermal growth factor receptor 2) early-stage breast cancers. The identification of targeted treatments for NF1low ER+/HER2− breast cancer is therefore a priority. In this study proteogenomic analysis of ER+/HER2− breast cancer demonstrated that NF1low tumors exhibited elevated cyclin-dependent kinase 4/6 (CDK4/6) activity. In cell lines, NF1-deletion had a dual effect on CDK4 activity. First, by promoting ER recruitment to CCND1 …
Telkomsel Siaga Rafi Annual Event Strategy To Improve Brand Image By Senusa Indonesia, Margareta Manalu, Qusnul Khotimah, Alain Rishi Zacharias
Telkomsel Siaga Rafi Annual Event Strategy To Improve Brand Image By Senusa Indonesia, Margareta Manalu, Qusnul Khotimah, Alain Rishi Zacharias
Journal of Indonesian Tourism and Policy Studies
This research aims to analyze the strategy of Telkomsel Siaga RAFI annual event organized by Senusa Indonesia in order to improve Telkomsel's brand image. Through this activity, Telkomsel seeks to strengthen relationships with customers and expand its social reach, especially during Ramadan and Idul Fitri 2025. The main focus of this final report is to explore the role of event management strategies in influencing the brand image of Telkomsel. Using brand image theory and direct observation techniques, this research also identifies the steps taken by Senusa Indonesia in designing and implementing events that include knowledge sharing and donations. The results …
Integrating Virtual Reality Into Workplace Civility Training, Rachel Marie Demeter, Michael Ackerman, Jacalyn Buck, Stephanie Justice
Integrating Virtual Reality Into Workplace Civility Training, Rachel Marie Demeter, Michael Ackerman, Jacalyn Buck, Stephanie Justice
Creating Healthy Work Environments (CHWE)
Workplace incivility is exponentially more detrimental in healthcare than in other professions. Through the degradation of communication pathways and team dynamics, incivility can negatively impact patient care quality and outcomes and place the success of organizations in potential jeopardy1. A variety of situational and environmental factors make the perioperative department a well-known, well-documented reservoir for harboring cultures of incivility2. Guided by evidence on the effectiveness of multi-modal learning3 and virtual reality (VR) technology for knowledge and skill enhancement, an innovative, multi-modal civility training curriculum with application of integrated VR technology4-5 as the mode for …
Hippocrates And Nightingale: Ancient Medicine And Modern Nursing, Callie Wiedle
Hippocrates And Nightingale: Ancient Medicine And Modern Nursing, Callie Wiedle
Creating Healthy Work Environments (CHWE)
This presentation aims to examine and understand the influence that Hippocrates’ fundamental theories of medicine had on Florence Nightingale’s development of modern nursing care. Hippocrates has gained the nickname “the father of modern medicine” and Nightingale has claimed the title “the mother of modern nursing”. This presentation will argue that without Hipporcates’ revolutionary ideas in medicine the framework of modern nursing would have taken much longer to develop, if it was ever developed into what we know today. Nightingale took Hippocrates’ revolutionary ideas regarding hygiene, the environment, and holistic patient care; and adapted them into the systematic approach to modern …
The Impact Of Cultural Awareness Education On Cultural Competence Among New Graduate Nurses, Leilany Nicoles Porrata
The Impact Of Cultural Awareness Education On Cultural Competence Among New Graduate Nurses, Leilany Nicoles Porrata
Creating Healthy Work Environments (CHWE)
The purpose of this study is to determine whether traditional nursing education aligns and correlates with formal cultural awareness education of new graduate nurses, and how they translate their practice into culturally competent care. The research studies I selected for my project were qualitative research, systematic reviews, and current nursing students' responses. This evidence showcases that providing educational interventions to incorporate cultural awareness in education would add to the competency of newly graduated nurses. Individualized care is emphasized in the traditional nursing curriculum framework, but there should be a form of cultural awareness training. Educational interventions ranged from webinars and …
Education, Evaluation, And Impact Of A Delegation Learning Session In The Care Pair Model, Tiffany Michelle Whitney
Education, Evaluation, And Impact Of A Delegation Learning Session In The Care Pair Model, Tiffany Michelle Whitney
Creating Healthy Work Environments (CHWE)
This study examines the relationship of a structured educational intervention related to registered nurse (RN) delegated practice within the Care Pair Model (CPM) in a medical-surgical unit for its potential to expand the utilization of Nursing Assistants (NAs) in the nursing shortage in health care. CPM employs NAs as complement staff for RNs thus shortening workloads and improving patient care but relies on the RN's ability to communicate clearly and delegate responsibilities. A literature review done identifies that there is a gap in available information about CPM and delegation and thus this study looks at the educational intervention of delegation. …
Implementing Adjunct Surgical Count Technology, Herschel Bernard Holden
Implementing Adjunct Surgical Count Technology, Herschel Bernard Holden
Creating Healthy Work Environments (CHWE)
Adjunct surgical count technology refers to advanced methods and systems designed to enhance the accuracy and efficiency of surgical counts, which are critical for preventing unintended retained surgical sponges. This technology often incorporates digital tools like barcode scanning, radiofrequency identification (RFID), and intelligent surgical sponges. Automating the counting process reduces human error, allowing for real-time tracking of sponges throughout the surgical procedure. This can involve using handheld devices or integrated systems that automatically log usage. The systems integrate with the electronic health record (EHR) and surgical management systems, providing comprehensive tracking reporting capabilities. This integration facilitates better communication among surgical …