Digital Commons Network^™

Breast Cancer Area Identification In Mammograms Using Expectation Maximization Gaussian Mixture Model, Rizki Khoirun Nisa, Dian Kurniasari, Favorisen R. Lumbanraja, Warsono Warsono

Karbala International Journal of Modern Science

Breast cancer accounts for 25% of all cancer diagnoses and 16% of cancer-related deaths among women globally, with high mortality rates due to late diagnosis. Early detection relies on imaging techniques such as mammography, histopathology, and breast ultrasound, with mammography being the gold standard due to its proven to detect breast cancer, thus it is effective for breast cancer treatment. However, mammogram images often produce noise and artefacts, complicating early-stage cancer detection and emphasizing the need for advanced image processing. Clustering algorithms such as K-means and Expectation Maximization - Gaussian Mixture Model (EM-GMM) have shown potential in image segmentation. This …

Rethinking Safe Nurse Staffing In The Post-Covid Icu: A Comparative Analysis Of The Nurse-To-Patient Ratio And Mixed Model Approach For State Policies, Emilie A. Maxie

Dissertations

The coronavirus pandemic (COVID-19) led to an unprecedented surge in ICU admission, increasing the nurse-to-patient ratios and intensifying stress on ICU nurses. This prompted many nurses to leave bedside care, exacerbating the ongoing nursing shortage and creating unsafe working conditions. Fourteen states have enacted safe nurse staffing policies. California implemented a mandated nurse-to-patient ratio, while Massachusetts adopted a mixed model for ICUs that involves a ratio, nurse committees, and workload tools. In post-COVID, this raises the question of which state policy approach is more effective in retaining ICU nursing staff. Literature suggests a mixed policy may be more effective.

Thematic Navigation Using Generative Artificial Intelligence And Augmented Reality, Ajay Prasad

Defensive Publications Series

Navigation apps offer accurate routes, but they are purely utilitarian, offering little scope for user engagement and enjoyment. This disclosure describes techniques of navigational experience that leverage generative AI (gen-AI) and augmented reality to transform routine navigation tasks into thematic, immersive, and memorable journeys. Users can select from a variety of themes from popular culture, obtained with permission from the content creators, to overlay the navigation interface and the real-world environment with relevant content. Gen-AI techniques are used to create themed content, renaming landmarks, generating background visuals, creating audio cues and directions, etc. Thematic elements can be projected onto the …

Techniques To Facilitate Hitless Recovery From A Flash Single Event Upset (Seu) Error Through Virtualization, Jay Yoo, Mike Thornburg, Mark Chu, Daniel I Walker, Vinod Cherukatt, Son P Le, Jason F Haase, Ramesh Yeevani, Manish Agarwal

Defensive Publications Series

Many embedded systems use an embedded MultiMediaCard (eMMC) as the main storage device for such systems. When the eMMC for an embedded system is connected to the host Central Processing Unit (CPU) through an intermediate device, such as a Universal Serial Bus (USB) bridge, recovery from a transient eMMC failure, such as a single-event upset (SEU), is not available and such a failure could bring down an entire network. For example, conventional recovery processes for a system that experiences such a transient failure due to an SEU issue typically involve performing a system power cycle, which can cause significant network …

Building Successful Justice Worker Programs: Emerging Insights From Research And Practice, Rebecca L. Sandefur, Matthew Burnett

Alaska Law Review

America's deep access to justice crisis has long seemed intractable. But new and potentially transformative models for giving people access to legal services and to their own law are emerging around the country. Among the most promising of these are community justice workers. These are people already trusted in their communities, such as social workers, librarians, health aides, community leaders, teachers, mediators, and everyday citizens who are trained to help people understand and act on the legal challenges involved in critical life issues. These issues implicate basic needs like nutrition, health, income security, shelter, education, and care of dependents, and …

Assessing Knowledge, Confidence, And Attitude Toward Virtual Care And Telehealth Among Graduate Nursing Students, Natasha Asante

Doctor of Nursing Practice Scholarly Projects

In response to the COVID-19 pandemic, telehealth and virtual healthcare modalities have become primary care delivery methods. The American Academy of Ambulatory Care Nursing (AACN) and the American Association of Nurse Practitioners (AANP) support using virtual care and telehealth technology in health care services. Although most healthcare institutions utilize telehealth to provide care, emerging research highlights the lack of telehealth training in Advanced Practice Nurse (APRN) education. However, no standard curriculum requirements mandate graduate nursing programs to train APRN students in telehealth or virtual health modalities. Due to the lack of training for APRNs, it can be very challenging for …

A Fast Federated Learning-Based Crypto-Aggregation Scheme And Its Simulation Analysis, Boshen Lü, Xiao Song

Journal of System Simulation

Abstract: To solve the problem of increased computation and communication costs caused by using homomorphic encryption (HE) to protect all gradients in traditional cryptographic aggregation (cryptoaggregation) schemes, a fast crypto-aggregation scheme called RandomCrypt was proposed. RandomCrypt performed clipping and quantization to fix the range of gradient values and then added two types of noise on the gradient for encryption and differential privacy (DP) protection. It conducted HE on noise keys to revise the precision loss caused by DP protection. RandomCrypt was implemented based on a FATE framework, and a hacking simulation experiment was conducted. The results show that the proposed …

Critical Node Identification Method For Unmanned Aerial Vehicle Cluster Considering Localized Features, Chenglong Shi, Xiang Hua, Dong Wang, Jinjin Zhang, Tianqi Jiang, Yuanzhang Dang

Journal of System Simulation

Abstract: Aiming at the problem that the UAV cluster critical node identification methods focus on the global network and ignore the correlation between nodes and their local features, a critical nodes identification method for unmanned aerial vehicle cluster considering local features is proposed. An unmanned aerial vehicle cluster network model is constructed based on complex network theory. The Laplacian energy is introduced to evaluate the importance of node within two hops, and information entropy is combined to evaluate the importance of node in a specific motif to comprehensive identify the critical nodes. Simulation results demonstrate that this method identifies critical …

Optimization Of Urban Agglomeration Transportation Network Evacuation Paths, Bowei He, Chengbing Li, Shida Nie, Jialin Wang

Journal of System Simulation

Abstract: Given the complexity of the internal transportation network structure within urban agglomerations and the presence of numerous alternative routes, this paper proposes an enhanced ant colony algorithm to address the evacuation path problem of urban agglomeration transportation networks. A comprehensive urban agglomeration transportation network model is constructed, in which the issue of virtual transfer edges within the urban scope is considered and a weighting function is constructed taking into account the travelling time cost and the transferring time cost. Optimizations are applied to the ant colony algorithm, constructing an adaptive adjustment of state transitions and an information pheromone update …

President Chilton Among Group Of Unh Faculty And Staff Members Named To New Hampshire 200 List, Keith Testa

UNH Today Archive

No abstract provided.

Tam Nguyen, Brian Rigling To Lead Ud Science And Engineering Catalyst Center, Dave Larsen

College of Arts and Sciences Newsroom

The SECC is designed to foster interdisciplinary research, scholarship, curriculum development and entrepreneurial activities.

Scientifically Improving Human-Nature Relationship In Desertification Areas, Bojie Fu, Yanxu Liu, Shuai Wang, Junfeng Song, Zejiang Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

The expansion trend of desertification in China has been fundamentally restrained. In the new era, scientifically improving the relationship between human and nature in desertification areas to promote regional sustainable development has become an important demand for desertification combat in China. We summarize four key challenges to sustainable development in desertification areas, including increasing human demand on water, increasing land use intensity, increasing climatic risk, and insufficient industrial innovation. Based on the theoretical understanding of the coupling relationship between human and nature, the evolution of human-nature relationship in combating desertification can be divided into four stages, namely, extensive land exploitation, …

Five Key Issues And Governance Strategies In Integration Of China’S National Computing Power, Tao Hong, Le Cheng

Bulletin of Chinese Academy of Sciences (Chinese Version)

Computing power, as a core element of artificial intelligence, has not received sufficient research and attention compared to data and algorithms, and has become the short board of China in international artificial intelligence competition. In fact, the integrated construction of the arithmetic system is not only an inherent requirement for the development of the digital industry, but also a regular guide for the growth of the digital economy, and a core driver for the transformation of the digital society. Although it has always secured endorsement by national policy, the relevant legal norms and actual layout are still insufficient, and the …

Expanding Access To Justice Through Regulatory Reform And Innovation: Arizona Lessons From The Past, Present, And Future, Samuel A. Thumma

University of Cincinnati Law Review

No abstract provided.

A Threat Assessment Method In Uncertain Dynamic Environments, Mei Yang, Bingkun Wang, Zhongjie Zhang, Yan Zeng, Jian Huang

Journal of System Simulation

Abstract: A threat assessment method based on priori information and dynamic observation results is studied for the existence of dynamic uncertainty in complex war systems. The data mining is applied to obtain prior knowledge on the battlefield situation and construct an equipment-related confidence matrix. The sensor model is constructed to dynamically update the number of blue-side entities under the current situation by using the Bayesian method and considering both intelligence and observation results. The threat evaluation indicators and their weights are determined, and the TOPSIS method is used to finish the threat assessment. This method can well describe the complex …

Research On Adaptive Scheduling Of Single-Arm Cluster Tools For Throughput Ratio Of Multiple Wafer Types With Concurrent Processing, Chunrong Pan, Yu Cui, Wenqing Xiong, Hao Zhou, Jiliang Luo

Journal of System Simulation

Abstract: Concurrent processing makes the wafer fabrication process prone to deadlocks and completion node ambiguity. A Petri net model is established to describe the system operation process by taking for the single-arm cluster tools for fully parallel processing of two wafer types as the research object, and a control strategy is developed to avoid the system deadlock. Based on the Petri net model, the temporal properties of the system is analyzed based on earliest starting strategy, and the action cycle sequence of robot is determined during the monitoring cycle for different scenarios of lot switching in a single production monitoring …

Research On Latent Space-Based Anime Face Style Transfer And Editing Techniques, Haixin Deng, Fengquan Zhang, Nan Wang, Wancai Zhang, Jierui Lei

Journal of System Simulation

Abstract: To address issues such as image distortion and style uniformity in existing anime style transfer networks within the field of image simulation, we propose the TGFE-TrebleStyleGAN (textguided facial editing with TrebleStyleGAN) for anime facial style transfer and editing. This framework leverages vector guidance within the latent space to generate facial imagery and incorporates a detail control module and a feature control module to constrain the aesthetic attributes of the generated images. The images generated by the transfer network serve as style control signals and constraints for fine-grained segmentation. Text-to-image generation technology captures correlations between styletransferred images and semantic information. …

Research On Multi-Objective Gait Planning Of Biped Robot Based On Virtual Prototype, Yankai Zhang, Xuesong Wang, Yubin Jin, Dongsheng Zhang

Journal of System Simulation

Abstract: A multi-objective gait optimization method based on virtual prototype is proposed to address the difficulty of balancing personalisation and performance in gait planning for bipedal robots. A scale prototype of a planar underactuated biped robot is created according to the body structure of Chinese people, and an identification approach is used to determine the robot's exact inertial parameters. A virtual prototype of the robot is created, and three optimization goals—speed, energy use, and stability are developed. Using the enhanced NSGA-II algorithm, the Pareto optimal solution set for the robot multi-objective gait planning issue is produced. Numerous gaits that conform …

Don't Forget To Water The Plants: Crafting A Sustainable Framework For Space Launches Under The Inflation Reduction Act, Wyatt Modracek

Seattle Journal of Technology, Environmental, & Innovation Law

The Inflation Reduction Act (IRA) makes great strides toward limiting the consumption of fossil fuels through the incentivization of research and development of sustainable aviation fuel. However, the IRA serves as a reactive measure to the problem of air pollution while missing an opportunity to curtail another coming issue of pollution: space launches. While not as pervasive as commercial air travel, space launches and outer space as a whole are becoming a billion-dollar market with space mining, astro-tourism, and interplanetary travel. The rate of launches has no sign of slowing down, and rather than wait to pass a reactive measure …

The Lived Experiences Of Female Undergraduates At A Private University Regarding Foodways And Wellness: An Interpretive Phenomenological Analysis, Kelly Green Kearns

Dissertations - ALL

This dissertation study outlines the topic of food and wellness for female undergraduate college students at a private university in the northeastern US. An extensive literature review on the topic of human interactions with food and wellness as well as the potential impact on female undergraduate students is provided, followed by a proposed qualitative study. This dissertation describes the qualitative method of Interpretive Phenomenological Analysis (IPA) using semi-structured interviews and member-checking meetings to learn about the experiences of eight female undergraduate students at a private university’s experiences with food, eating, sourcing, cooking, and sharing and how these behaviors impact and …

Gatekeeper, Keep Thyself: How Impairment Impacts The Integration Of Counselor Wellness Competencies, Curtis Lee Taylor

Electronic Theses and Dissertations

This quantitative study examined counselor educators’ beliefs regarding the importance of Counselor Wellness Competencies (CWCs) and how effectively they teach them to their counselors-in-training (CIT). This study focused on significant relationships between the importance and effective teaching, self-care, and burnout. Counselor educators who place higher importance on the CWCs reported having higher self-efficacy in teaching them. The findings suggest that counselor educators with more self-care behaviors experienced less burnout and were better able to show congruence between the importance and effective teaching of the CWCs. The conclusion of this report explores limitations and directions for future research.

Factors Affecting Involvement Of Parents Of Students With Learning Disabilities In Saudi Elementary Schools, Mohammed Alyahya

Electronic Theses and Dissertations

The research explores the factors that influence parental involvement in school children with learning disabilities in Riyadh, Saudi Arabia. Understanding these factors is crucial, as parental involvement is widely recognized as essential for the academic success of children, particularly those with learning disabilities. This study used a quantitative approach to collect data from parents of students with learning disabilities, including parents' age, gender, income, employment status, and parental beliefs (responsibilities and capabilities). The findings reveal that parental beliefs regarding their responsibilities towards their child's education are the only significant predictor of parental involvement. In contrast, other variables, including age, gender, …

Disabilities Studies In Nursing Education – “Walking The Walk” Of Disability In Healthcare And Nursing, Clara Vesterman-Starr

Dissertations - ALL

This dissertation critically examines the integration of disability studies into nursing education and its potential to address healthcare disparities faced by people with disabilities (PWDs). Despite the increasing visibility of disability rights and advocacy, nursing education continues to implicitly define disability as a deficit, focusing on PWD’s limitations rather than capabilities. This research highlights the pressing need for a paradigm shift toward incorporating disability studies frameworks, which emphasize disability as a cultural identity and social construct, into nursing curricula to better prepare nurses for equitable, patient-centered care. This study employs two research methods: autoethnography and survey. The autoethnography, rooted in …

Sloshing Analysis Of An Isothermal Fluid In A Cylindrical Tank For Cryogenic Tank Design Using Smoothed Particle Hydrodynamics, Dillon Freeman

The Plymouth Student Scientist

This paper investigates the capability of Smoothed Particle Hydrodynamics to model the free surface sloshing response of an isothermal fluid in a cylindrical geometry. Eleven frequencies for two horizontal driving amplitudes (0.5 mm & 2.0 mm) were validated against experimental results and the influence of the starting direction of the tanks acceleration on the steady state response was investigated. The SPH results reproduced the overall behaviour of the experimental data closely over the range of frequencies tested, but produced higher amplitudes with greater variance in the region of the tanks natural frequency. Furthermore good symmetry was observed between sidewalls for …

Circle Of Security Parenting; A Qualitative Investigation Into The Perceived Long-Term Impact On Parenting In Plymouth, United Kingdom, Rebecca Cartwright

The Plymouth Student Scientist

Parenting is a unique experience for every family and improving this experience for both the child and the parent has long-term benefits for giving the child the best opportunities for the future. Attachment has been noted as a factor which improves a child's development and other areas of their life with a lasting effect into adulthood. An example of interventions used to improve parent-child relationships are parenting courses. Circle of Security Parenting is an 8-week parenting course designed to support attachment by encouraging a group of between four and six parents to reflect on their own childhood and subsequently their …

Development Of A Computational Model To Assess Wave Overtopping Performance Of Floating Structures Using Smoothed Particle Hydrodynamics, Emily Knott

The Plymouth Student Scientist

Wave overtopping in foul weather presents a hazard to sailors and offshore workers. Predicting the overtopping performance of a ship or structure is important to safety and performance but existing methods are either low accuracy or computationally expensive, and every design must be analysed separately. Smoothed Particle Hydrodynamics (SPH) may be used in the creation of less computationally expensive numerical simulations for overtopping analysis.

This paper extends upon the basic SPH method to incorporate wave generation and rigid body motion, enabling the wave overtopping performance of fixed and floating structures to be determined in two dimensions. This extended model was …

Quantifying Interpretation Reproducibility In Vision Transformer Models With Tavac., Yue Zhao, Dylan Agyemang, Yang Liu, J Matthew Mahoney, Sheng Li

Faculty Research 2024

Deep learning algorithms can extract meaningful diagnostic features from biomedical images, promising improved patient care in digital pathology. Vision Transformer (ViT) models capture long-range spatial relationships and offer robust prediction power and better interpretability for image classification tasks than convolutional neural network models. However, limited annotated biomedical imaging datasets can cause ViT models to overfit, leading to false predictions due to random noise. To address this, we introduce Training Attention and Validation Attention Consistency (TAVAC), a metric for evaluating ViT model overfitting and quantifying interpretation reproducibility. By comparing high-attention regions between training and testing, we tested TAVAC on four public …

Exploring The Benefits Of Feature Selection Based On Bat Algorithm And Deep Learning In Brain Cancer Diagnosis, Noor Fawzi Shafiq

Al-Esraa University College Journal for Engineering Sciences

Brain cancer is considered one of the most dangerous types that must be treated as soon as possible. Therefore, it is necessary to detect brain cancer in its early stages to enhance the diagnosis of the condition. This study proposes to combine the bat algorithm (BA) with deep learning methods to identify and classify brain tumors in medical images accurately.

In this paper, the bat algorithm was used to select distinctive features from the input brain images. The Bat Algorithm (BA) is a metaheuristic optimization algorithm that mimics the echolocation behavior of bats. It efficiently explores the feature space to …

Contents Volume 52 No. 4, ศูนย์นวัตกรรมทางการศึกษา สื่อสิ่งพิมพ์ และสื่อออนไลน์ จุฬาฯ

Journal of Education Studies

No abstract provided.

Effects Of Active Learning In Physics Experiments On Academic Achievement, Attitudes And Concepts Among Grade-11 Students, Kittikhun Seawsakul

Journal of Education Studies

One of the problems in learning physics is students’ attitudes. Most students think that physics is difficult to learn and to understand. This causes students' motivation and attitudes of curiosity towards the physics subject to decrease. The objectives of this work were to investigate students' attitudes towards physics and physics concepts, as well as to compare the academic achievement of the sample group before and after studying the lessons based on active learning through physics experiments. The sample group in this study consisted of 31 Grade 11 students, and data collection was conducted over the course of one semester. Data …