Digital Commons Network^™

Qura: Reinforcement Learning Based Routing For Quantum Networks, Tasdiqul Islam, Engin Arslan, Md Arifuzzaman

Computer Science Faculty Research & Creative Works

Quantum routing deals with identifying a set of quantum repeaters to use to create entanglement between distant endpoints. Previous approaches proposed shortest-path and linear programming methods to find a solution to this problem. While the shortest path approach results in suboptimal performance, linear programming takes too long to find a solution as the network size and constraints increase. In this paper, we apply Deep Q-Reinforcement Learning (DQRL) to optimize routing in quantum networks both in terms of execution time and performance. The proposed Quantum Routing Algorithm (QuRA) first chooses which request to schedule among all requests. It then determines which …

Fleet: A Federated Learning Emulation And Evaluation Testbed For Holistic Research, Osama Abu Hamdan, Hao Che, Engin Arslan, Md Arifuzzaman

Computer Science Faculty Research & Creative Works

Federated Learning (FL) presents a robust paradigm for privacy-preserving, decentralized machine learning. However, a significant gap persists between the theoretical design of FL algorithms and their practical performance, largely because existing evaluation tools often fail to model realistic operational conditions. Many testbeds oversimplify the critical dynamics among algorithmic efficiency, client-level heterogeneity, and continuously evolving network infrastructure. To address this challenge, we introduce the Federated Learning Emulation and Evaluation Testbed (FLEET). This comprehensive platform provides a scalable and configurable environment by integrating a versatile, framework-agnostic learning component with a high-fidelity network emulator. FLEET supports diverse machine learning frameworks, customizable real-world network …

Feddot: Defending Federated Learning Against Overwhelming Targeted Attacks, Priyesh Ranjan, Ashish Gupta, Federico Coro, Sajal K. Das

Computer Science Faculty Research & Creative Works

Federated Learning (FL), which facilitates collaborative model training and protects users' privacy, has drawn great interest from the research community. With FL, participants train their models on local data and submit the corresponding updates for aggregation to a server. While concealing the identities of the participants, FL may attract adversaries in order to hamper the underlying model. In this paper, we propose an FL framework, FedDOT, to defend against adversaries performing targeted attacks. FedDOT incorporates two powerful defense algorithms, Maximum Spanning Tree based attacker detection (MSTAD) and Densest graph-based attacker detection (Density-AD), which leverage correlation between weight updates and graph …

You Only Need One Stage: Novel-View Synthesis From A Single Blind Face Image, Taoyue Wang, Xiang Zhang, Xiaotian Li, Huiyuan Yang, Lijun Yin

Computer Science Faculty Research & Creative Works

We propose a novel one-stage method, NVB-Face, for generating consistent Novel-View images directly from a single Blind Face image. Existing approaches to novel-view synthesis for objects or faces typically require a high-resolution RGB image as input. When dealing with degraded images, the conventional pipeline follows a two-stage process: first restoring the image to high resolution, then synthesizing novel views from the restored result. However, this approach is highly dependent on the quality of the restored image, often leading to inaccuracies and inconsistencies in the final output. To address this limitation, we extract single-view features directly from the blind face image …

Dynamic Hub-Aware Knowledge Distillation For Efficient Traffic Flow Forecasting, Xiangjie Kong, Can Shu, Wenchao Weng, Zhenzhen Zhao, Guojiang Shen, Lei Wang, Sajal K. Das

Computer Science Faculty Research & Creative Works

Real-time traffic forecasting acts as a critical enabling service for IoT-driven Intelligent Transportation Systems (ITS). While existing Spatiotemporal Graph Neural Networks (STGNNs) achieve superior forecasting accuracy, their intensive computational complexity and high latency create a deployment bottleneck for resource-constrained IoT edge devices. To address this resource-accuracy mismatch, we propose a novel framework termed Dynamic Hub-Aware Knowledge Distillation (DHKD). Unlike traditional uniform distillation paradigms, DHKD introduces a topology-aware strategy to transfer knowledge from a complex teacher to a lightweight Spatiotemporal Multi-Layer Perceptron (STMLP) student model. Specifically, we design a dynamic hub-aware gating (DHAG) mechanism that adaptively identifies time-varying pivotal sensing nodes …

Explaining The Unseen: Multimodal Vision-Language Reasoning For Situational Awareness In Underground Mining Disasters, Mizanur Rahman Jewel, Mohamed Elmahallawy, Sanjay Kumar Madria, Samuel Frimpong

Computer Science Faculty Research & Creative Works

Underground mining disasters produce pervasive darkness, dust, and collapses that obscure vision and make situational awareness difficult for humans and conventional systems. To address this, we propose MDSE, Multimodal Disaster Situation Explainer, a novel vision-language framework that automatically generates detailed textual explanations of post-disaster underground scenes. MDSE has three-fold innovations: (i) Context-Aware Cross-Attention for robust alignment of visual and textual features even under severe degradation; (ii) Segmentation-aware dual pathway visual encoding that fuses global and region-specific embeddings; and (iii) Resource-Efficient Transformer-Based Language Model for expressive caption generation with minimal compute cost. To support this task, we present the Underground Mine …

Aim5b: Ai Integrated Semantic Framework For 5g And Beyond Network Management, Thanveer Sulthana, Ava Sharif Jourabchi, Venkat Rao Manavarthi, Jayadithya Nalajala, Ankitha Srirama Reddy, Baek Young Choi, Sejun Song

Computer Science Faculty Research & Creative Works

Scalable, interpretable, and intelligent network monitoring and management are critical for 5 G and future networks. This paper introduces Aim5B, an AI-integrated semantic framework for 5 G and beyond network management to address these challenges. Aim5B processes unstructured logs from key 5G core network functions, and transforms them into a knowledge graph aligned with the semantic structure of control-plane events. Leveraging a large language model (LLM), Aim5B enables natural language queries to be translated into Cypher graph queries, facilitating precise log retrieval, event analysis, temporal correlation, and statistical summarization-without relying on static parsing rules or predefined dashboards. Integrated on a …

Exosomes Derived From Bone Substitute-Induced Gingival Mesenchymal Stem Cells Promote Angiogenesis, Chongyu Shen, Zheng Guan, Rui Chu, Zhengyin Li, Jiangting Lu, Liangkun Xie

Journal of Dental Sciences

Background/purpose: In certain clinical bone grafting scenarios, bone substitutes frequently interface with the adjacent soft tissues. This study aimed to investigate whether deproteinized bovine bone mineral (DBBM) and coralline hydroxyapatite (CHA) induce paracrine responses in human gingival mesenchymal stem cells (GMSCs), thereby altering the pro-angiogenic capacity of their derived exosomes, and to profile specific cargo alterations.

Materials and methods: Exosomes were isolated from GMSCs co-cultured with DBBM (DBBM-G-EXO) or CHA (CHA-G-EXO), while native GMSCs-derived exosomes (G-EXO) were collected as controls. The angiogenic effects of these exosomes on human umbilical vein endothelial cells (HUVEC) were evaluated via cell proliferation, scratch wound …

A Scientometric Study On Research Trends And Characteristics Of Kimura Disease, Zhongjing Lv, Yiming Luo, Wei Liu, Jian Yuan

Journal of Dental Sciences

Background/purpose: Kimura disease (KD) is an idiopathic condition that presents as a chronic, benign inflammatory disorder, typically affecting the head and neck region. The purpose of this study was to analyze the scientometric characteristics and research trends of KD.

Materials and methods: All the papers on KD were comprehensively retrieved from the Scopus database. The years of publication were divided into before 2012 and after 2012 in the analysis of research trends.

Results: There were 925 papers on KD, with total citations of 10,821 and the h index of 47. Eosinophilia, lymphadenopathy, nephrotic syndrome, angiofollicular lymph node hyperplasia, …

Very Early Interceptive Management Of Class Iii Malocclusion In Primary Dentition Using A Prefabricated Functional Education Appliance: Preliminary Clinical Observations, Thi Ngoc Anh Do, Thi Huong Le, I-Ta Lee, Tong-Hsien Chow, Pao-Chang Chiang, Thi Thuy Tien Vo

Journal of Dental Sciences

Background/purpose: Class III malocclusion with anterior crossbite in primary dentition may progress and complicate future orthodontic treatment. This short communication presents preliminary clinical observations of very early interception using a prefabricated functional education appliance.

Materials and methods: Three children aged 4 to 6 years with dental, functional, or mild skeletal class III malocclusion were treated using a prefabricated removable functional education appliance worn at night, with regular follow-up.

Results: In the dental class III case, anterior crossbite was corrected within 9 months and remained stable at the 2-year follow-up. In the functional class III case, anterior crossbite and mandibular shift …

Artificial Intelligence In Dentistry: A Cross-Domain Bibliometric Analysis Of Technologies, Functional Applications, And Dental Specialties, Yinghui Yang, Cheng-Chia Yu, Min Yee Ng

Journal of Dental Sciences

Background/purpose: Artificial intelligence is increasingly applied in dentistry across diagnosis, prediction, treatment planning, education, and patient communication. This study aimed to provide a structured cross-domain overview of dental AI research by integrating AI technologies, functional applications, and dental specialties within one bibliometric framework.

Materials and methods: AI-related dental publications from 2016 to 2026 were retrieved from the Web of Science Core Collection. Original and review articles were screened and classified by AI technology, functional application, and dental specialty. Bibliometric mapping, collaboration analysis, keyword co-occurrence, and heatmap-based cross-domain visualization were performed.

Results: A total of 920 publications were included. Publication …

Oral Health Knowledge Across Cultural Boundaries: A Physiology And Hygiene Textbook From The Tamsui Middle School During The Japanese Colonial Period, Hung-Lun Pan, Feng-Chou Cheng, Chun-Pin Chiang

Journal of Dental Sciences

No abstract provided.

The Clinical Potential Of Cone-Beam Computed Tomography Image Segmentation In Dentistry, Hsin-Hua Chou, Takashi Saito, Chih-Kai Huang, Wei-Chun Lin

Journal of Dental Sciences

No abstract provided.

Digital Impression Workflows And Mucosal Considerations In Removable Complete Dentures, Fu-Chuan Tsai, Hsin-Hua Chou, Takashi Saito, Wei-Chun Lin

Journal of Dental Sciences

No abstract provided.

Virtual Patient Technology Enabled The Reconstruction Of Craniofacial Hard And Soft Tissues Through The Integration And Superimposition Of Multimodal Dental Imaging Datasets, Hsin-Hua Chou, Kuo‑Ning Ho, Takashi Saito, Wei-Chun Lin

Journal of Dental Sciences

No abstract provided.

Dynamic Navigation-Assisted Implant Placement For The Jaw-In-A-Day Mandibular Reconstruction, Ni Lin, Min-Yi Sung, Yu-Cheng Cheng

Journal of Dental Sciences

No abstract provided.

Osteoclast-Derived Exosomes Promote Medication-Related Osteonecrosis Of The Jaw By Delivering Glycorna To Disrupt The Blood–Lymphatic Vascular Network, Jiankang Zhang, Junming Tao

Journal of Dental Sciences

No abstract provided.

A Visualized Ai-Assisted Framework For Pre-Surgical Evaluation Of Implant Pathways On Periapical Radiographs, Yuan-Jin Lin, Chiung-An Chen

Journal of Dental Sciences

No abstract provided.

Sleep Restriction Exacerbates Pulpal Inflammation And Impairs Tissue Repair Following Dental Pulp Capping: An In Vivo Animal Study, Siqi Huang, Qian Wang, Ziyu Chen, Guomiao Zhang, Ying Zheng

Journal of Dental Sciences

As a fundamental physiological process, sleep is essential for maintaining systemic homeostasis. Although sleep restriction (SR) has been shown to trigger a systemic inflammatory response, its specific impact on local pulpal inflammation remains poorly understood. In this preliminary study, we investigated the effects of SR on the inflammatory response and reparative capacity of dental pulp in a rat model. Immunohistochemistry and western blotting revealed that, even in intact pulp tissue, SR upregulated the expression of interleukin-6, increased the infiltration of neutrophils, and activated the nuclear factor-kappa B signaling pathway. Subsequent investigations demonstrated that following dental pulp capping, SR provoked an …

Herbal Medicine For Oral Ulcer Treatment: Mechanisms, Efficacy, And Therapeutic Potential, Shinn-Zong Lin, Tsung-Hsien Chuang, Chih-Yang Huang, Tsung-Jung Ho, Yi-Pang Lee

Journal of Dental Sciences

Oral ulcers are common inflammatory lesions of the oral mucosa that significantly affect patients’ quality of life through pain, eating difficulties, and psychological stress. Their development is multifactorial, involving mechanical trauma, infection, nutritional deficiencies, immune dysregulation, and oxidative stress. Conventional treatments including antiseptics, corticosteroids, and immunomodulators, provide symptomatic relief but are often limited by side effects, recurrence, and poor patient adherence. Increasing interest has therefore focused on herbal medicines as complementary or alternative therapies. Numerous single herbs such as Aloe vera, licorice, curcumin, chamomile, berberine, neem, sage, myrrh, and guava and traditional formulations have demonstrated anti-inflammatory, antioxidant, immunomodulatory, antimicrobial, and …

Deep Learning-Based Automated Per-Tooth Detection And Segmentation From Unretracted Smile Photographs, Hsuan Chen, Khoa Dang Nguyen, Hong Thi-Phuong Doan, Mu-Chen Yang, Ya-Chu Chang, Anand Marya, Guang Hong, Ding-Han Wang, Ming-Lun Hsu

Journal of Dental Sciences

Background/purpose: Natural smile photographs are universally accessible yet no automated method achieves clinically acceptable per-tooth detection from these images. Existing frameworks require lip-retracted intraoral views, and prior work on smile images achieved insufficient accuracy. This study developed a per-tooth detection and segmentation pipeline for natural smile photographs and assessed its applicability to digital smile design.

Materials and methods: A total of 1,471 smile photographs were annotated via model-assisted labeling. Fifteen You Only Look Once (YOLO) models across three architecture families and five size tiers were compared. A two-stage pipeline combined the best-performing detector with high-quality Segment Anything Model (HQ-SAM) for …

A Bibliometric Evolution Of Molecular Mechanisms And Emerging Research Trends Of Therapeutic Resistance In Oral Cancer, Chu-Yen Chien, Ying-Chen Chen, Jia-Rong Wu, Hsu-Hua Chu, Yi-Jen Hung, Yi-Shing Shieh

Journal of Dental Sciences

Background/purpose: Drug resistance has served as a primary determinant of treatment failure and disease recurrence in oral cancer. The present study aimed to evaluate the global research landscape of drug resistance mechanisms in oral cancer by integrating bibliometric mapping with bioinformatic validation.

Materials and methods: A comprehensive dataset of 1660 publications was retrieved from the Scopus database. Bibliometric analyses were performed using Biblioshiny and VOSviewer to evaluate publication trends, collaborative networks, and thematic evolution. To bridge research trends with biological mechanisms, 1469 genes associated with oral cancer and drug resistance were extracted from the GeneCards database and subjected to functional …

Universal Coverage But Unequal Access: An Area-Level Statistical And Policy Analysis Of Taiwan’S Dental Workforce, Chien-Yang Yeh, Shih-Hsien Yang, Wei-Chia Su, Hsin-Hu Chen, Wei-Chin Hsu, Su-Feng Chen

Journal of Dental Sciences

Background/purpose: Universal health insurance coverage does not necessarily ensure equitable access to dental care. This study examined Taiwan’s dental workforce distribution using area-level statistical analysis and interpreted the findings through an oral health equity perspective.

Materials and methods: Publicly available county/city-level data on practicing dentists in Taiwan were analyzed. Dentist density was calculated as dentists per 10,000 population. Geographic variation was assessed using descriptive statistics, z-scores, quartile classification, highest-to-lowest ratio, coefficient of variation, and population-weighted Gini coefficient. Group differences were compared by geographic classification using Welch’s t-test, Mann–Whitney U test, Hedges’ g, and Cliff’s delta. Findings were further …

Routine Dental Scaling And Reduced Risk Of Serious Infections In Individuals With Moderate-To-Severe Cerebral Palsy: A Nationwide Population-Based Cohort Study, Li-Wei Ou-Yang, Yu-Tung Huang, Ya-Ting Chang, Hsin-Mao Hsu, Shih-Hao Chang, Chia-Ling Wu, Tsung-Chieh Yao

Journal of Dental Sciences

Background/ purpose: Individuals with moderate-to-severe cerebral palsy (CP) are highly susceptible to serious infections. Oral biofilms may serve as reservoirs for pathogenic microorganisms, yet the impact of professional oral healthcare on systemic infection risk in this population remains unclear. This study investigated the association between routine dental scaling and the risk of serious infections and infection-related mortality among individuals with moderate-to-severe CP.

Materials and methods: This nationwide, population-based cohort study used data from Taiwan’s National Health Insurance Research Database and National Death Registry (2009–2019). Individuals with moderate-to-severe CP were categorized into a routine dental scaling group (≥1 scaling annually for …

Deer Antler Tip Cell Culture Supernatant Restores Endothelial Barrier Function And Angiotensin Converting Enzyme 2/Endothelial Nitric Oxide Synthase Nitric Oxide Signaling Impaired By Porphyromonas Gingivalis Lipopolysaccharide, Ming-Shou Hsieh, Ya-Ting Yang, Chin-Sheng Huang, Ting-Yi Renn, Chuen-Kai Wang, Chia-Chen Hsu, Wei Jen Chang, Yu-Sheng Chang

Journal of Dental Sciences

Background/purpose:

Periodontal inflammation contributes to endothelial dysfunction, but effective biologically active strategies for vascular protection remain limited. This study investigated whether deer antler tip cell culture supernatant could rescue Porphyromonas gingivalis lipopolysaccharide (Pg-LPS) induced endothelial injury and restore endothelial homeostasis.

Materials and methods:

Velvet antler tissues from the tip, shaft, and burr regions were examined histologically and used for primary cell isolation. Human umbilical vein endothelial cells were exposed to Pg-LPS or indirectly co-cultured with LPS-stimulated THP-1-derived macrophages. Deer antler tip cell culture supernatant was subsequently applied to these endothelial inflammatory models, and its protective effects were …

Digital Twin Freshness Maximization In Edge Computing, Jing Li, Jianping Wang, Weifa Liang, Quan Chen, Sajal K. Das, Xiaohua Jia

Computer Science Faculty Research & Creative Works

Mobile Edge Computing (MEC) shifts powerful computing resource provisioning from remote powerful data centers to the edge of core networks. Meanwhile, Digital Twin (DT) has surfaced as a promising technology to provide comprehensive and dynamic descriptions of physical objects in cyberspace with bidirectional and real-time interactions. Moreover, Internet of Things (IoT) devices have contributed abundant, heterogeneous and continuous data from interconnected devices to the explosion of DTs. With technologies evolution, there is an increasing necessity to address the freshness of both DT states and DT data, through timely synchronizations between DTs and their objects in a highly dynamic IoT environment. …

Digital Dialectic: Why Every “Ai-Generated” Work Has A Human Author, Lea Bishop

FIU Law Review

Are ChatGPT and Midjourney tools or creators? Ownership of billions of AI-assisted creative outputs hangs in the balance. Copyright scholars have long debated whether an autonomous artificial intelligence could qualify as an author, but this remains a hypothetical question. Despite widespread application of the term “AI” to software products of the 2020s, autonomously creative artificial intelligence still does not exist. Today’s commercial AI products—such as ChatGPT, Midjourney, Dall-E, Copilot, Gemini, Claude, Suno, Perplexity, and Lumo—are simply the newest generation of computer software. They do not qualify as “artificial intelligence” in either the scientific or science fiction senses. They are mere …

Owning Data: Semantic Control As Inaccess To Information, Zvikomborero Chadambuka

FIU Law Review

This Article discusses the impacts of the introduction of a data ownership scheme on access to information. It does so with reference to the distinction between data, defined as some representation of information by a specific medium (the syntactic level), and the information itself (the semantic level). With respect to data, it then looks at the difference between standard property rights and intellectual property (IP) rights, similarly assessing impacts on access to information. Private control at the semantic level is bad policy as it effects particularly serious limitations, relative to private control at the syntactic level, on the availability of …

Cruel And Unusual Punishments And The Constitutional Status Of The Idea Of Progress, R. George Wright

FIU Law Review

To this point, we have developed some idea of what progress might have meant to the constitutional Framers, ratifiers, and later judges. We need not attempt the fruitless task of doing any precise head count of the variations of the concrete meaning, perceived likelihood, or value of progress among those parties. Doubtless some persons were more optimistic than others.178 But we need only assume that enough constitutional Framers, ratifiers, and judicial interpreters sufficiently shared any mainstream understanding of progress. Any such constitutional legitimacy of the idea, or the multiple ideas, of progress licenses the language of progress embraced in Trop.

The Protection Of Geographical Indications Under Comparative Lens: Whether Law Artificially Creates Scarcity Of Goods, Domenico Di Micco

FIU Law Review

The economic principles of supply and demand dictate that market prices are contingent on the conditions under which supply and demand converge. Within this theoretical framework, the concepts of scarcity and abundance assume paramount significance. When goods are scarce, prices tend to escalate, while in cases of abundant supply, prices tend to decline. But what factors determine scarcity and abundance? In many cases, scarcity is inherent to the nature of the commodity (for example, diamonds are rarer than common stones). In other cases, such as geographical indications, scarcity is constructed through the legal denomination associated with the commodity, thereby creating …