Digital Commons Network^™

Phr-Nft: Decentralized Blockchain Framework With Hyperledger And Nfts For Secure And Transparent Patient Health Records, Huwida E. Said, Nedaa B. Al Barghuthi, Sulafa M. Badi, Faiza Hashim, Shini Girija

All Works

Blockchain technology holds significant promise for healthcare by enhancing the security and integrity of patient health records (PHRs) through decentralized storage and transparent access. However, it has substantial limitations, including problems with scalability, high transaction costs, privacy concerns, and intricate stakeholder access management. This study presents PHR-NFT, a novel framework that strengthens PHR privacy by utilizing Hyperledger Fabric and non-fungible tokens (NFTs) to address these issues. PHR-NFT improves privacy and communication by letting patients keep control of their medical records while permitting temporary, permission-based access by medical professionals. PHR-NFT offers a transparent solution that increases trust among healthcare stakeholders through …

High-Coherence Kerr-Cat Qubit In 2d Architecture, Ahmed Hajr, Bingcheng Qing, Ke Wang, Gerwin Koolstra, Zahra Pedramrazi, Ziqi Kang, Larry Chen, Long B. Nguyen, Christian Jünger, Noah Goss, Irwin Huang, Bibek Bhandari, Nicholas E. Frattini, Shruti Puri, Justin Dressel, Andrew N. Jordan, David I. Santiago, Irfan Siddiqi

Mathematics, Physics, and Computer Science Faculty Articles and Research

The Kerr-cat qubit is a bosonic qubit in which multiphoton Schrödinger cat states are stabilized by applying a two-photon drive to an oscillator with a Kerr nonlinearity. The suppressed bit-flip rate with increasing cat size makes this qubit a promising candidate to implement quantum error correction codes tailored for noise-biased qubits. However, achieving strong light-matter interactions necessary for stabilizing and controlling this qubit has traditionally required strong microwave drives that heat the qubit and degrade its performance. In contrast, increasing the coupling to the drive port removes the need for strong drives at the expense of large Purcell decay. By …

Red Harvester Ants Pogonomyrmex Barbatus (Smith, 1858) (Hymenoptera: Formicidae) Do Not Distinguish Between Sorghum Head Mold Symptomatic And Asymptomatic Seeds, Lilly Victoria Elliott-Vidaurri, Hannah J. Penn, Robin A. Choudhury

School of Earth, Environmental, & Marine Sciences Faculty Publications

Red harvester ants, Pogonomyrmex barbatus (Smith, 1858) (Hymenoptera: Formicidae), common in the Lower Rio Grande Valley of Texas, are known to gather seeds from areas around their nests and store the seeds inside their nests for later consumption. As these ants often nest in and near agricultural fields, some of these seeds may be from crops and may also be infected with fungal plant pathogens. These pathogens can degrade seed coats and may cause the seeds to rot within the ant nests, decreasing storage time and potentially spreading the pathogen to other stored seeds. We studied how head mold, a …

Promote Deep Integration Of Real Economy And Digital Economy, Qinmin Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Deep integration of digital technology, industrial development, and data resources empowers development of the digital economy, constantly opens up new tracks, creates new momentum, and establishes new advantages, becoming a new powerful engine for global economic and social development. China attaches great importance to the high-quality development of the digital economy. This study discusses the practical experience of vigorously promoting digital industrialization and industrial digitization, promoting the deep integration of digital technology and the real economy, and accelerating the construction of a network power and digital China. It also proposes countermeasures and suggestions to further promote the efficient empowerment of …

Artificial Intelligence Foundation Model Risk Identification And Governance Model From Esg Perspective, Jincheng Shi, Guoyu Wang, Yingchun Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The application ecology of artificial intelligence foundation model is rapidly expanding. The environment, society, and governance are facing new challenges and opportunities. Exploring the construction of a governance framework for the development risks of foundation model has important theoretical value and practical significance for promoting the healthy and sustainable development of artificial intelligence. Based on the theories of ESG and artificial intelligence governance, this study analyzes the development benefits and typical risks of foundation model from the perspective of ESG and then constructs a risk governance framework and implementation strategies for artificial intelligence foundation models. This study shows that a …

Participatory Ethical Regulations: Risk Challenges Of Artificial Intelligence Era And Construction Of Governance Logic, Chenggang Zhang, Lu Pan

Bulletin of Chinese Academy of Sciences (Chinese Version)

Participatory ethical norms emphasize the involvement of diverse stakeholders, aiming to construct a more comprehensive and balanced ethical governance framework. The rapid development of artificial intelligence (AI) technology is leading society through unprecedented transformations, significantly impacting ethical perspectives, social governance models, and the symbiotic relationship between humans and technology. The participatory ethical norms, characterized by multi-stakeholder participation, interactivity, and openness, represent a crucial pathway for addressing the challenges posed by the rapid development of AI technology. Constructing an AI governance framework based on participatory ethical norms provides solutions for the sustainable, fair, and transparent development of AI from multiple aspects …

Ethical Risks And Challenges Of Chatgpt Applications In Education, Jingbo Fan, Hui Liang

Bulletin of Chinese Academy of Sciences (Chinese Version)

ChatGPT is a typical application in the field of natural language processing, with the potential to empower and revolutionize education. It can serve not only as a digital tutor for students but also as a virtual assistant for teachers, driving the transformation of student learning methods and teaching paradigms. Additionally, ChatGPT shows a wide range of applications in the research field. However, while bringing opportunities for educational development, ChatGPT also poses ethical risks and challenges to educational equity. Firstly, ChatGPT may exacerbate the digital divide, leading to unequal educational opportunities. Secondly, it presents risks such as knowledge alienation, algorithmic black-box …

Optimization For Qinghai-Xizang Plateau Ecological Security Barrier System, Bojie Fu, Yanxu Liu, Wenwu Zhao, Xiaoming Feng, Shiliang Liu, Chiyuan Miao, Xuhui Wang, Chunyang He, Changjia Li, Aizhong Ye, Zhongmin Hu, Zhifeng Liu, Dingyang Zhou

Bulletin of Chinese Academy of Sciences (Chinese Version)

The ecological security barrier system is a composite system to maintain ecological security and sustainable development within and outside the region. This system enables the maintenance of the structure and function of the ecosystem in the ecological security barrier region relatively shielded from or minimally impacted by external environmental threats, so that forms a multilevel and orderly stable pattern. Over the period from 2000 to 2020, the ecosystem water conservation function was on the rise, and the soil conservation function, net ecosystem productivity, and habitat quality were generally stable in the Qinghai-Xizang Plateau. Comparing the previous three national parks and …

Building Modern City And Urban Science, Guangtao Wang, Fen Li, Xiang Liu, Yufei Gao

Bulletin of Chinese Academy of Sciences (Chinese Version)

China is in a new stage of development of Chinese-style modernization, and the construction of modern cities plays a leading role in the process of modernization. Urban science is an important direction that urban researchers has been exploring, and the construction of modern cities needs the guidance of China’s urban science theory. On the basis of summarizing the basic characteristics of urban science, this study draws on the frontier progress of urban science both domestically and internationally, this study proposes definitions of China’s urban science, and constructs a theoretical framework with four dimensions, namely, ideological guidance, theoretical evidence-based approach, practical …

Disciplinary Policy Research On Science Development Strategies For Crewed Lunar Exploration, Wei Yang, Yuyang He, Jinting Kang, Ruiyi Chen, Huihong Cheng, Li Sun, Pan Deng, Yong Wei, Yangting Lin, Xianhua Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

In order to better serve China’s crewed lunar exploration, this study researched and analyzed the current status of lunar exploration and planetary science research in China and the United States. Additionally, we conducted interviews and a questionnaire survey with experts in planetary science and deep-space exploration, and formed the following four policy recommendations: 1) Strengthening the layout and management of the disciplines of lunar and planetary sciences, and setting up a long-term and stable funding mechanism; 2) Improving the system of talent cultivation, and encouraging young talents to participate in deep-space exploration missions; 3) Strengthening the protection of original ideas, …

Reflections On Strengthening Digital Public Goods Institutions To Promote Construction Of Open Source Innovation Ecosystem, Chao Zhang, Ze Feng, Kaihua Chen, Qigang Zhu

Bulletin of Chinese Academy of Sciences (Chinese Version)

The digital public goods institutions are important foundations for promoting the development of an open source innovation ecosystem, which helps to break the key limitations faced by China’s open source innovation ecosystem, such as the lack of unity in technology routes and concentration of R&D power. Based on discussing the significance of improving digital public goods institutions, this study reviews the experience of major countries in the world in building digital public goods institutions and analyzes the prominent problems faced by the construction of China’s digital public goods institutions. This study points out that China’s open source innovation ecosystem faces …

Overview On Autonomous Machine Computing, Shaoshan Liu, Yiming Gan, Yinhe Han

Bulletin of Chinese Academy of Sciences (Chinese Version)

Autonomous machine computing, an innovative blend of algorithms, software, and cutting-edge computing hardware, is poised to be the next major paradigm shift in the global economy, following personal, mobile, and cloud computing. This study delves into the research and commercialization of the robotics industry, underscoring the critical importance of establishing a comprehensive autonomous machine computing ecosystem. This study argues that autonomous machine computing necessitates a complete ecosystem that encompasses applications, programming languages, and the foundational hardware architectures, and presents a comprehensive review of significant research contributions across these areas. Moreover, the study explores the synergy between autonomous machine computing and …

Benefits And Challenges Of Constructing Low-Altitude Air Route Network Infrastructure For Developing Low-Altitude Economy, Xiaohan Liao, Chenchen Xu, Huping Ye

Bulletin of Chinese Academy of Sciences (Chinese Version)

Low-altitude airspace is a resource that needs to be fully explored, and the low-altitude economy is a new type of economic activity resulted from low-altitude airspace exploration and utilization. As the primary players of low-altitude flight activities, the commercialization and wide applications of unmanned aerial vehicles (UAVs) are promoting the prosperity of the low-altitude economy. A low-altitude air route network is an effective means to ensure the safe and efficient operations of a large number of UAVs, and it is also a new key infrastructure hosting low-altitude traffic. The history shows that the investment on public transport infrastructure as a …

Prospect And Problem Analysis Of Industry Data Application In Livestock And Poultry Breeding, Yiran Chen, Zhuqing Xiong, Jiaogen Zhou, Quan Wang, Jiancheng Shu, Yinfa Yan, Lanlin Yang, Zemeng Feng, Benhai Xiong, Yulong Yin

Bulletin of Chinese Academy of Sciences (Chinese Version)

Livestock and poultry breeding is a pillar industry in China. The massive data in livestock and poultry breeding is a valuable resource. The market-oriented utilization of livestock and poultry breeding data plays an important role in improving industry standards, increasing industry profits, and driving the development of the entire industry chain. Currently, based on the demand for marketization of livestock and poultry breeding data, the application of new generation information technologies such as artificial intelligence and the Internet of Things in the process of livestock and poultry breeding to collect breeding process data, after de-sensitization and de-classification, through cloud computing, …

K-8 Teachers’ Experiences Using Trauma-Informed Strategies, Nichelle Ahmaddiya

Walden Dissertations and Doctoral Studies

K–8 teachers struggle to implement trauma-informed instructional strategies (TII) in their classrooms. A lack of TII can affect student learning, attendance, disciplinary referrals, and suspension rates and is related to adverse social-emotional and behavioral outcomes. Grounded in the National Child Traumatic Stress Network framework for understanding TII strategies and Bandura's social cognitive learning theory, the purpose of this basic qualitative study was to explore 12 K–8 teachers’ experiences using TII strategies in instruction. Teachers who received TII training and currently use TII in their classrooms in the northeast United States were purposefully selected to participate in semistructured interviews. Interview data …

The Ensemble Code As A Constructed Working Memory, Jacob Zepp

USF Tampa Graduate Theses and Dissertations

This dissertation formalizes and refines a new theory of ensemble coding: the Non-Selective Transfer Model. Within this theory, ensemble codes and subsequent summary judgments are the result of representations constructed over a subset of information that is encoded into working memory. The work begins with a brief review of current ideas present within the ensemble coding literature, followed by a set of formalized descriptions of ensemble coding theories that have been proposed. A discussion of relevant theories present in the working memory literature is also provided to motivate the structure of the subsequent model. The Non-Selective Transfer Model 2 is …

Winonan, Winona State University

The Winonan - 2020s

This issue of the Winonan, the Winona State University student newspaper, was published on November 20, 2024.

November 20, 2024, Faculty, Illinois Wesleyan University

2024-2025

No abstract provided.

Foundations Of Music Education: Creativity, Curriculum, And Terminal Degrees, Charles Edwin Patterson Iii

USF Tampa Graduate Theses and Dissertations

This collection of articles includes three concepts centered on critical areas within music education: (1) creativity and the creative personality, (2) curriculum development with a focus on orchestral string teaching, and (3) the historical evolution and current status of doctoral programs in music education in the United States. These three articles are correlated through their shared focus on enhancing the field of music education by examining the essential elements that shape practices by students, teachers, mentors, etc. Together, they explore how creativity, curriculum approaches, and advanced training programs in music education contribute to a holistic and adaptive music education framework …

Moving From Traits To The Dynamic Process: The Next Steps In Research On Human Resilience, Yannick Hill, Michael L. Dolezal, Patric C. Nordbeck, Ruud J. R. Den Hartigh, David Pincus, Adam W. Kiefer, Bernard P. Ricca

Psychology Faculty Articles and Research

The current literature on resilience shows a trend toward a dynamic process conceptualization, moving away from the previous trait-approach. However, the term “dynamic” is increasingly treated as a buzzword and is thereby oversimplified in the literature. The aim of this article is to develop a unified language pertaining to resilience as a dynamic process, so as to ensure progress in this field. First, we briefly introduce the traditional trait approach alongside the implicit assumption on which it is built. Next, we contrast this approach by discussing what dynamics entail and how this approach differs from mainstream psychological approaches. Specifically, dynamics …

Robust Voltage Regulation For Dc Microgrids Via Passivity-Based Sliding Mode Control, Edoardo Vacchini, Michele Cucuzzella, Pablo Borja, Antonella Ferrara

School of Engineering, Computing and Mathematics

This paper proposes a decentralized sliding mode control approach to the voltage regulation problem in a DC microgrid consisting of distributed generation units interconnected with each other through resistive-inductive power lines and supplying unknown nonlinear loads. In particular, the port-Hamiltonian structure of the system suggests the design of a suitable sliding manifold such that the system on this manifold exhibits desired passivity properties. This approach simplifies the control design and relaxes some restrictive assumptions required by other controllers proposed in the literature, while offering satisfactory performance.

A Class Of Stable Nonlinear Non-Hermitian Skin Modes, Hamed Ghaemi-Dizicheh

Physics & Astronomy Faculty Publications

The non-Hermitian skin effect (NHSE) is a well-known phenomenon in open topological systems that causes a large number of eigenstates to become localized at the boundary. Although many aspects of its theory have been investigated in linear systems, this phenomenon remains novel in nonlinear models. In the first step of this paper, we look at the conditions for the presence of quasi-skin modes in a semi-infinite, one-dimensional, nonlinear, nonreciprocal lattice. In the following phase, we explore the survival time of the quasi-skin mode in a finite nonlinear lattice with open edges. We study the dependency of the survival time on …

Legal And Ethical Considerations For Balancing Space Innovation And Dark Sky Preservation, Sara M. Langston, Kayla D. Taylor

Publications

The proliferation of satellites in Earth’s orbit has significantly enhanced capabilities in communication, Earth observation, and scientific research. However, this rapid expansion presents considerable legal and ethical challenges, particularly regarding the preservation of dark and quiet skies. As low Earth orbit becomes increasingly congested, the implications for astronomical observation, environmental integrity, and cultural heritage require critical examination.

This presentation provides an interdisciplinary perspective on the legal, practical and ethical considerations essential for preserving dark and quiet skies. It begins by exploring the legal frameworks governing the use of space, highlighting relevant international treaties, national responsibilities, and emerging issues aimed at …

Sharp Periodic Flares And Long-Term Variability In The High-Mass X-Ray Binary Xte J1829−098 From Rxte Pca, Swift Bat, And Maxi Observations, Robin H.D. Corbet, Ralf Ballhausen, Peter A. Becker, Joel B. Coley, Felix Fuerst, Keith C. Gendreau, Sebastien Guillot, Nazma Islam, Gaurava Kumar Jaisawal, Peter Jenke, Peter Kretschmar, Alexander Lange, Christian Malacaria, Mason Ng, Katja Pottschmidt, Pragati Pradhan, Paul S. Ray, Richard E. Rothschild, Philipp Thalhammer, Lee J. Townsend, Joern Wilms, Colleen A. Wilson-Hodge, Michael T. Wolff

Publications

XTE J1829−098 is a transient X-ray pulsar with a period of ∼7.8 s. It is a candidate Be star system, although the evidence for this is not yet definitive. We investigated the twenty-year-long X-ray light curve using the Rossi X-ray Timing Explorer Proportional Counter Array (PCA), Neil Gehrels Swift Observatory Burst Alert Telescope, and the Monitor of All-sky X-ray Image. We find that all three light curves are clearly modulated on the ∼244 days orbital period previously reported from PCA monitoring observations, with outbursts confined to a narrow phase range. The light curves also show that XTE J1829−098 was in …

Dynamic Knowledge Elicitation: Leveraging Student Feedback For Improved Language Model Distillation, Reuven Muller

Master's Theses

Large Language Models (LLMs) have significantly advanced the field of natural language processing but remain resource-intensive and impractical for many organizations. Specialist models offer a viable alternative, often developed through Knowledge Distillation (KD) techniques. However, traditional KD methods rely on predefined static datasets to elicit knowledge from the teacher model, failing to dynamically address the weaknesses of the student model during training. This research introduces two novel methods for adaptive knowledge elicitation: Feedback-Driven Question Generation and Agent-Based Targeted Question Generation. These methods iteratively expand the training dataset based on the student model’s performance, leveraging a teacher model to generate targeted …

Effects Of Methyl Orange On The H2/Brine Wettability Of Carbonate Rocks: Implications For H2 Geo-Storage, Fatemah Alhammad, Mujahid Ali, Nurudeen Yekeen, Muhammad Ali, Hussein Hoteit, Stefan Iglauer, Alireza Keshavarz

Research outputs 2022 to 2026

Nowadays, researchers have shown interest in hydrogen energy because it is regarded as a clean energy and a viable alternative to carbon-based fossil fuels. However, hydrogen has low volumetric energy density and must be stored in large volumes to fulfil global energy demands. Underground hydrogen storage in a geological structure is considered the best choice due to its safety and higher storage capacity than surface storage. In this study, the advancing θa and receding θr contact angles of the stearic acid–aged calcite before and after the treatment with different concentrations (10–100 mg/L) of methyl orange (MO) were measured at reservoir …

Gmc-137 Iot Security Vulnerabilities And How To Improve Them, Austin D Klein, Ryeon N Naderi, Tyler J Hood, Keren Bassourou

C-Day Computing Showcase

With the increased usage of IoT devices in homes as well as different industries, vulnerabilities have also increased significantly. The IoT devices are small in size, and it is hard to incorporate security in the software because security has high demand for computation. We have been conducting this research in order to find more suitable security methods that are lightweight as well as efficient. We have decided to move away from key hiding algorithms, which have increased time and space consumption, in favor of smaller and quicker block cipher algorithms.

Gmc-157 Text-To-Digital Person Video Generator: Digitalavatargen, Akansha Kesharwani, Nisha Bagdwal, Md E Hossain, Drashti Patel, Nikhil Adigoppula

C-Day Computing Showcase

The Text-to-digital person video generator: DigitalAvatarGen project uses AI to create lifelike videos of 2D digital avatars from user text input. Users enter text, select a voice and select or upload an avatar, and generate a video using DigitalAvatarGen web application which uses Google TTS and SadTalker, to synchronize voice, expressions, and lip movements. Key contributions include a customizable user interface, personalized voice and avatar options, and an optimized backend for efficient video generation. This tool provides an engaging, realistic solution for applications in education, media, and customer interaction.

Gmc-2162 Prompt Engineering And Its Effects On Ai And Human Relationships: A Contemporary Approach, Francis Madu, Naga Janaki Madhav Kadiyala, Nivesh Thallapally

C-Day Computing Showcase

A. Background: Prompt engineering refers to the process of designing and refining input prompts for AI models (especially language models like GPT) to improve their outputs. It has become a critical tool in maximizing the performance and utility of AI models in diverse applications, from customer service to content creation. Beyond technical aspects, the interaction between humans and AI is increasingly shaped by the effectiveness of these prompts. B. Motivation: As AI becomes more integrated into daily life, the way humans interact with AI models is profoundly influenced by prompt engineering. Misaligned prompts can lead to misunderstanding, confusion, or unintended …

Gmr-229 Semantic Search Using Sentence Transformers, Roshni Satish, Arpana Challa

C-Day Computing Showcase

Traditional keyword-based search engines struggle to accurately capture the semantics of user queries in today's enormous digital resources. Our research study focuses on creating a semantic search engine that uses Sentence Transformers to improve information retrieval by understanding the context of queries and documents. Our method creates sentence embeddings for documents and user queries, allowing retrieval based on semantic similarity rather than keyword matching. The project involves data collection and preprocessing, feature extraction with Sentence Transformers, and implementation of a search engine that ranks documents based on cosine similarity to query embeddings. According to preliminary testing, this method greatly improves …