Digital Commons Network^™

Lease: Leveraging Energy-Awareness In Serverless Edge For Latency-Sensitive Iot Services, Aastik Verma, Anurag Satpathy, Sajal K. Das, Sourav Kanti Addya

Computer Science Faculty Research & Creative Works

Resource Scheduling Catering to Real-Time IoT Services in a Serverless-Enabled Edge Network is Particularly Challenging Owing to the Workload Variability, Strict Constraints on Tolerable Latency, and Unpredictability in the Energy Sources Powering the Edge Devices. This Paper Proposes a Framework LEASE that Dynamically Schedules Resources in Serverless Functions Catering to Different Microservices and Adhering to their Deadline Constraint. to Assist the Scheduler in Making Effective Scheduling Decisions, We Introduce a Priority-Based Approach that Offloads Functions from over-Provisioned Edge Nodes to Under-Provisioned Peer Nodes, Considering the Expended Energy in the Process Without Compromising the Completion Time of Microservices. for Real-World Implementations, …

Stitching Satellites To The Edge: Pervasive And Efficient Federated Leo Satellite Learning, Mohamed Elmahallawy, Tony Tie Luo

Computer Science Faculty Research & Creative Works

In the Ambitious Realm of Space AI, the Integration of Federated Learning (FL) with Low Earth Orbit (LEO) Satellite Constellations Holds Immense Promise. However, Many Challenges Persist in Terms of Feasibility, Learning Efficiency, and Convergence. These Hurdles Stem from the Bottleneck in Communication, Characterized by Sporadic and Irregular Connectivity between LEO Satellites and Ground Stations, Coupled with the Limited Computation Capability of Satellite Edge Computing (SEC). This Paper Proposes a Novel FL-SEC Framework that Empowers LEO Satellites to Execute Large-Scale Machine Learning (ML) Tasks Onboard Efficiently. its Key Components Include I) Personalized Learning Via Divide-And-Conquer, Which Identifies and Eliminates Redundant …

Injectable Dendrimer Hydrogel Delivers Melphalan In Both Conjugated And Free Forms For Retinoblastoma, Remy C. Cooper, Juan Wang, Hu Yang

Chemical and Biochemical Engineering Faculty Research & Creative Works

We report the successful synthesis of an injectable dendrimer hydrogel (DH) carrying melphalan, a clinical drug for retinoblastoma treatment, in both conjugated and free forms. Polyamidoamine (PAMAM) dendrimer generation 5 (G5) is surface-modified with an acid-sensitive acetal-dibenzocyclooctyne linker and then undergoes azide-alkyne cycloaddition with melphalan-PEG-N3 conjugate to form G5-acetal-melphalan. During the DH gelation between G5-acetal-melphalan and PEG-diacrylate, free melphalan is added, resulting in a hydrogel (G5-acetal-melphalan-DH/melphalan) that carries the drug in both conjugated and free forms. Melphalan is slowly released from G5-acetal-melphalan-DH/melphalan, with the conjugated melphalan released more quickly at pH 5.3 due to acid-triggered acetal bond cleavage. The formulation's …

Development Of A Deep Neural Network And Empirical Model For Predicting Local Gas Holdup Profiles In Bubble Columns, Sebastián Uribe, Ahmed Alalou, Mario E. Cordero, Muthanna H. Al-Dahhan

Chemical and Biochemical Engineering Faculty Research & Creative Works

Estimating local gas holdup profiles in bubble columns is key for their performance evaluation and optimization, as well as for design and scale-up tasks. Up to the current day, there are important limitations in the accuracy and range of applicability of the available models in literature. Two alternatives for the prediction of such local fields can be found in the application of empirical models and the development of deep neural networks (DNN). The main drawback preventing the application of these techniques in previous years was the availability of a large enough databank of local gas holdup experimental measurements. Advances over …

Thermal Management Of Adsorption-Based Biogas Upgrading Systems Via Incorporation Of Phase-Change Materials, Kyle Newport, Khaled Baamran, Ali A. Rownaghi, Fateme Rezaei

Chemical and Biochemical Engineering Faculty Research & Creative Works

Thermal management of adsorption columns is necessary to maintain their effectiveness while reducing the energy requirements of the overall separation process. In this work, we aimed at investigating the suitability of blending adsorbents with phase-change materials (PCMs) to adjust the thermal profile of a biogas upgrading column. A commercially available PCM (Nextek 28D) in quantities of 10, 20, and 30 wt. % was blended with zeolite 13X in two configurations, namely, traditional pellets and 3D-printed monoliths. The use of different structures allows for better analysis of thermal profiles and assessment of the effectiveness of the PCM in a packed bed …

Transitioning To A Lower Global Warming Refrigerant, A Performance Study Of R-513a And Hfc-134a In Commercial Chillers, Hossein Abedsoltan, Mark B. Shiflett

Chemical and Biochemical Engineering Faculty Research & Creative Works

The performance of R-513A and HFC-134a refrigerants is compared in two identical chillers operating at the University of Kansas. R-513A is a more environmentally friendly refrigerant due to its lower global warming potential that can be used as a retrofit replacement for HFC-134a in chillers. This study investigates the performance comparison of transitioning from HFC-134a to R-513A. The chillers have been in operation for two years, and cooling capacity, coefficient of performance, and other operating parameters are compared under similar cooling conditions. Cooling capacities ranged from 100 to 500 kW for both chillers. Overall, the energy consumption and coefficient of …

Fit-For-Purpose Heavy-Duty Fishing Equipment Designed To Safely Retrieve A Damaged Wireline Cable From An Active, Sour Gas Well Located Offshore, M. N. Amri, R. Macaulay, S. Aboelnaga, A. Abouganem, M. Al Dahhan

Chemical and Biochemical Engineering Faculty Research & Creative Works

Wireline operations play a crucial role in the oil and gas industry, facilitating essential tasks like well maintenance, data collection, and intervention. These operations involve deploying substantial downhole tools and large cables into the wellbore, but this endeavor is not without its challenges. Particularly, when a wireline cable breaks downhole, it poses significant risks. Unplanned wireline breakages result in demanding heavy-duty fishing operations when they occur in challenging offshore environments and unfavorable downhole conditions. in this work, strategic planning and execution were applied in a complex e-line cable recovery in a live, sour gas well without the need for well …

Integrated Downhole-Measurement-Enabled Coiled Tubing And Mechanical Wireline Recovery Of E-Line Cable In A Live, Sour Gas Well, C. Villagrana, A. Abouganem, A. M. Afsal, M. Al-Dahhan, J. Delaune, W. R. Tapia, M. Amri

Chemical and Biochemical Engineering Faculty Research & Creative Works

This study details a complex wire recovery operation in a live well that involved transitioning from coiled tubing (CT) to mechanical wireline (MWL), in both slickline [MA1] or braided line, to retrieve the wire in good condition and later hand it over to an electrical wireline (e-line) unit to spool it onto a drum. the operation was carried out on a live, sour gas well, demanding a unique setup and emphasizing safety. Two successful recovery operations removed a significant amount of e-line left in the well plus the upper section of the e-line bottomhole assembly (BHA) while safely pushing the …

Navigating Innovation Within A Contractor's Business Model: A System Dynamics Approach, Mariam Elazhary, Cihan Dagli, Islam H. El-Adaway

Engineering Management and Systems Engineering Faculty Research & Creative Works

Innovation is essential in the construction industry, but current practices often focus narrowly on specific aspects rather than taking a comprehensive approach. To address this, systematic innovation through business model innovation (BMI) is proposed to enhance overall performance. Despite increasing interest in BMI research, it remains in its early stages, lacking quantitative analysis of its impact on business model components. This paper develops a framework using system dynamics to assess changes to a construction company's BM when faced with a variety of innovations across various projects. This shall be accomplished by (1) establishing factors and their relationships that define a …

Communication-Efficient Federated Learning For Leo Constellations Integrated With Haps Using Hybrid Noma-Ofdm, Mohamed Elmahallawy, Tony T. Luo, Khaled Ramadan

Computer Science Faculty Research & Creative Works

Space AI has become increasingly important and sometimes even necessary for government, businesses, and society. An active research topic under this mission is integrating federated learning (FL) with satellite communications (SatCom) so that numerous low Earth orbit (LEO) satellites can collaboratively train a machine learning model. However, the special communication environment of SatCom leads to a very slow FL training process up to days and weeks. This paper proposes NomaFedHAP, a novel FL-SatCom approach tailored to LEO satellites, that (1) utilizes high-altitude platforms (HAPs) as distributed parameter servers (PSs) to enhance satellite visibility, and (2) introduces non-orthogonal multiple access (NOMA) …

Mobility Management In Tsch-Based Industrial Wireless Networks, Marco Pettorali, Francesca Righetti, Carlo Vallati, Sajal K. Das, Giuseppe Anastasi

Computer Science Faculty Research & Creative Works

Wireless Sensor and Actuator Networks (WSANs) are an effective technology for improving the efficiency and productivity in many industrial domains and are also the building blocks for the Industrial Internet of Things (IIoT). To support this trend, the IEEE has defined the 802.5.4 Time-Slotted Channel Hopping (TSCH) protocol. Unfortunately, TSCH does not provide any mechanism to manage node mobility, while many current industrial applications involve Mobile Nodes (MNs), e.g., mobile robots or wearable devices carried by workers. In this article, we present a framework to efficiently manage mobility in TSCH networks, by proposing an enhanced version of the Synchronized Single-hop …

Energy Consumption Optimization Of Uav-Assisted Traffic Monitoring Scheme With Tiny Reinforcement Learning, Xiangjie Kong, Chenhao Ni, Gaohui Duan, Guojiang Shen, Yao Yang, Sajal K. Das

Computer Science Faculty Research & Creative Works

Unmanned Aerial Vehicles (UAVs) can capture pictures of road conditions in all directions and from different angles by carrying high-definition cameras, which helps gather relevant road data more effectively. However, due to their limited energy capacity, drones face challenges in performing related tasks for an extended period. Therefore, a crucial concern is how to plan the path of UAVs and minimize energy consumption. To address this problem, we propose a multi-agent deep deterministic policy gradient based (MADDPG) algorithm for UAV path planning (MAUP). Considering the energy consumption and memory usage of MAUP, we have conducted optimizations to reduce consumption on …

Towards Fine-Gained Services: Nfv-Assisted Tracking And Positioning Using Micro-Services For Multi-Robot Cooperation, Bo Yi, Lin Qiu, Jianhui Lv, Yingpu Nian, Xingwei Wang, Sajal K. Das

Computer Science Faculty Research & Creative Works

Robotics as a Service (RaaS) emerges as a new paradigm to motivate diversified potential of the "remote-controlled economy" for flexible and efficient service provision with the help of cloud computing. The multi-robot cooperation (MRC) technology has been widely used in various intelligent logistics scenarios, such as warehouses, factories, airports and subway stations, benefiting from the advantages of high operational efficiency and low labor cost. While promising, the corresponding challenge is that the service functions deployed on logistics robots (LRs) are more prone to failures such as resource exhaustion and error configuration in the multi-robot system (MRS). In this way, it …

Personalized Federated Graph Learning On Non-Iid Electronic Health Records, Tao Tang, Zhuoyang Han, Zhen Cai, Shuo Yu, Xiaokang Zhou, Taiwo Oseni, Sajal K. Das

Computer Science Faculty Research & Creative Works

Understanding The Latent Disease Patterns Embedded In Electronic Health Records (EHRs) Is Crucial For Making Precise And Proactive Healthcare Decisions. Federated Graph Learning-Based Methods Are Commonly Employed To Extract Complex Disease Patterns From The Distributed EHRs Without Sharing The Client-Side Raw Data. However, The Intrinsic Characteristics Of The Distributed EHRs Are Typically Non-Independent And Identically Distributed (Non-IID), Significantly Bringing Challenges Related To Data Imbalance And Leading To A Notable Decrease In The Effectiveness Of Making Healthcare Decisions Derived From The Global Model. To Address These Challenges, We Introduce A Novel Personalized Federated Learning Framework Named PEARL, Which Is Designed For …

Resource Aware Clustering For Tackling The Heterogeneity Of Participants In Federated Learning, Rahul Mishra, Hari Prabhat Gupta, Garvit Banga, Sajal K. Das

Computer Science Faculty Research & Creative Works

Federated Learning Is A Training Framework That Enables Multiple Participants To Collaboratively Train A Shared Model While Preserving Data Privacy. The Heterogeneity Of Devices And Networking Resources Of The Participants Delay The Training And Aggregation. The Paper Introduces A Novel Approach To Federated Learning By Incorporating Resource-Aware Clustering. This Method Addresses The Challenges Posed By The Diverse Devices And Networking Resources Among Participants. Unlike Static Clustering Approaches, This Paper Proposes A Dynamic Method To Determine The Optimal Number Of Clusters Using Dunn Indices. It Enables Adaptability To The Varying Heterogeneity Levels Among Participants, Ensuring A Responsive And Customized Approach To …

Collect Spatiotemporally Correlated Data In Iot Networks With An Energy-Constrained Uav, Wenzheng Xu, Heng Shao, Qunli Shen, Jian Peng, Wen Huang, Weifa Liang, Tang Liu, Xin Wei Yao, Tao Lin, Sajal K. Das

Computer Science Faculty Research & Creative Works

UAVs (Unmanned Aerial Vehicles) Are Promising Tools For Efficient Data Collections Of Sensors In IoT Networks. Existing Studies Exploited Both Spatial And Temporal Data Correlations To Reduce The Amount Of Collected Redundant Data, In Which Sensors Are First Partitioned Into Different Clusters, A Master Sensor In Each Cluster Then Collects Raw Data From Other Sensors And Compresses The Received Data. An Energy-Constrained UAV Finally Collects The Maximum Amount Of Compressed Data From Different Master Sensors. We However Notice That The Compressed Data From Only A Portion Of Clusters Are Collected By The UAV In The Existing Studies, While The Data …

پنجرے کے پار: بچوں کی کہانی, سیمی بتول, فوزیہ پروین

Institute for Educational Development Pakistan (IED-PK) Archives

یہ کہانی کی کتاب آپ کے لیے اسکول اور گھروں میں استعمال کرنے کے لیے تیار کی گئی ہے۔

Conscientious Objection And Abortion: The Italian Pseudo-Exceptionalism, C. Crea

FIU Law Review

Threats to abortion and reproductive rights are well-rooted in global discursive and strategic practices promoted by conservative and ‘pro-life’ movements and narratives. Starting from these premises, this essay will focus on abortion access in Italy and the barrier caused by conscientious objection among medical personnel, which appears indefensible in light of both international human rights regimes and philosophical-theoretical perspectives. The main questions explored here are the following: Is conscientious objection to abortion really based on Catholic moral teaching, which constitutes the conventional religious wisdom of the national societal fabric? How and to what extent are Catholic and conservative moral narratives …

Italian Comparative: A Trait Of The Legal System, Bianca Gardella Tedeschi

FIU Law Review

The cultural environment of Italian academia was open to suggestions that came from other legal systems and shaped an eclectic legal culture. Italy is an hybrid system that took the code from France, the legal science from Germany, and has always been receptive of foreign suggestions. This cultural background may explain why the Italian legal curriculum requires a mandatory course of comparative law and why comparative law has been an important field of Italian legal research. At the same time, comparative law was characterized by an an important mark of antiformalism, necessary to swim through the times of Fascism and …

Urban Commons In Italy, Michele Graziadei

FIU Law Review

The Italian experience with urban commons has been very rich indeed. In the last ten years or so the number of social and legal initiatives relating to urban commons in Italy has exploded. The present Italian situation shows that urban commons are here to stay. By now, they are part of the collective imagination, of political and socio-economic transformative projects, of administrative practices, and of the law. The demand for the commons in the city originates from the social movements that intend to resist the penetration of the market and of private property in every ambit of life but is …

The Spree Of Principles And The Abuses Of The Balancing Doctrine In Brazil, Ronaldo Porto Macedo

FIU Law Review

This article delves into the nuanced distinction between principles and rules in legal discourse, emphasizing their differing grammatical functions. While acknowledging the necessity of principles in legal reasoning, it cautions against their unchecked proliferation, exemplified by the Ellwanger case. The analysis underscores the importance of contextual understanding in discerning between principles and policies, advocating for a philosophical-political reflective approach. It critiques the overreliance on balancing-proportionality as a universal method, warning against its potential for dogmatic reduction and infringement on fundamental rights like freedom of expression. Ultimately, it calls for a balanced, reflective interpretation of principles to mitigate the risks inherent …

Filling The Gap: The Case For Driver's Licenses As A Lifeline To Opportunity For Undocumented Immigrants Where The Federal Government Fails To Act On Comprehensive Immigration Reform, David Peraza

FIU Law Review

The federal government has repeatedly failed at passing comprehensive immigration reform, which would provide basic benefits to the undocumented population in the U.S, including driver’s licenses. Various states have made attempts to provide undocumented immigrants with driver’s licenses. This work address the benefits and drawbacks of these policies and ultimately posits that holdout states should enact policies to provide driver’s licenses to undocumented immigrants in the face of the federal government’s inaction.

Ai And English Language Teaching: Affordances And Challenges, Helen Crompton, Adam Edmett, Neenaz Ichaporia, Diane Burke

STEMPS Faculty Publications

English is one of the most used languages for jobs, markets, tourism, discourse and international connectivity. However, English learners face many challenges in gaining English language skills. Extant studies show that AI has affordances to support in English language teaching and learning ELT/L. This study answers the call to examine specific challenges and affordances for using AI in ELT/L. A systematic review method was used with PRISMA principles to identify 42 studies. Findings reveal the geographical locations of studies, learner ages and years of study. Grounded coding was then used to identify affordances of the use of AI in ELT/L …

Pdcds-Adult German, Marianne E. Weiss, Matthias Marsall

Quality of Discharge Teaching Scale

The Readiness for Hospital Discharge Scale, Quality of Discharge Teaching Scale, and Post-Discharge Coping Difficulty Scale were developed by Dr. Marianne Weiss to measure nurse-sensitive discharge care processes and patient outcomes. Three versions of the scales were developed concurrently for different patient populations – Adult medical-surgical patients, Parents of hospitalized children, and Postpartum Patient mothers (see Weiss & Piacentine, 2006, Weiss et al., 2007, and Bobay et al., 2018 for description of the development and initial testing). Additional scales and information about translation rights are located at Marquette Nursing.

PERMISSION TO USE

The Readiness for Discharge Scale, Quality of Discharge …

Pdcds-Adult Bahasa Indonesian, Marianne E. Weiss, Azizah Khoiriyati

Quality of Discharge Teaching Scale

The Readiness for Hospital Discharge Scale, Quality of Discharge Teaching Scale, and Post-Discharge Coping Difficulty Scale were developed by Dr. Marianne Weiss to measure nurse-sensitive discharge care processes and patient outcomes. Three versions of the scales were developed concurrently for different patient populations – Adult medical-surgical patients, Parents of hospitalized children, and Postpartum Patient mothers (see Weiss & Piacentine, 2006, Weiss et al., 2007, and Bobay et al., 2018 for description of the development and initial testing). Additional scales and information about translation rights are located at Marquette Nursing.

PERMISSION TO USE

The Readiness for Discharge Scale, Quality of Discharge …

Adult Qdts, Tagalog, Marianne E. Weiss, Angelica Rodriguez

Quality of Discharge Teaching Scale

The Readiness for Hospital Discharge Scale, Quality of Discharge Teaching Scale, and Post-Discharge Coping Difficulty Scale were developed by Dr. Marianne Weiss to measure nurse-sensitive discharge care processes and patient outcomes. Three versions of the scales were developed concurrently for different patient populations – Adult medical-surgical patients, Parents of hospitalized children, and Postpartum Patient mothers (see Weiss & Piacentine, 2006, Weiss et al., 2007, and Bobay et al., 2018 for description of the development and initial testing). Additional scales and information about translation rights are located at Marquette Nursing.

PERMISSION TO USE

The Readiness for Discharge Scale, Quality of Discharge …

Ob Qdts, English, Marianne E. Weiss

Quality of Discharge Teaching Scale

The Readiness for Hospital Discharge Scale, Quality of Discharge Teaching Scale, and Post-Discharge Coping Difficulty Scale were developed by Dr. Marianne Weiss to measure nurse-sensitive discharge care processes and patient outcomes. Three versions of the scales were developed concurrently for different patient populations – Adult medical-surgical patients, Parents of hospitalized children, and Postpartum Patient mothers (see Weiss & Piacentine, 2006, Weiss et al., 2007, and Bobay et al., 2018 for description of the development and initial testing). Additional scales and information about translation rights are located at Marquette Nursing.

PERMISSION TO USE

The Readiness for Discharge Scale, Quality of Discharge …

Ped-Pdcds German, Marianne E. Weiss, Gaby Stoffel

Quality of Discharge Teaching Scale

The Readiness for Hospital Discharge Scale, Quality of Discharge Teaching Scale, and Post-Discharge Coping Difficulty Scale were developed by Dr. Marianne Weiss to measure nurse-sensitive discharge care processes and patient outcomes. Three versions of the scales were developed concurrently for different patient populations – Adult medical-surgical patients, Parents of hospitalized children, and Postpartum Patient mothers (see Weiss & Piacentine, 2006, Weiss et al., 2007, and Bobay et al., 2018 for description of the development and initial testing). Additional scales and information about translation rights are located at Marquette Nursing.

PERMISSION TO USE

The Readiness for Discharge Scale, Quality of Discharge …

Adult Qdts, Korean, Marianne E. Weiss, Jeoung Hee Kim

Quality of Discharge Teaching Scale

The Readiness for Hospital Discharge Scale, Quality of Discharge Teaching Scale, and Post-Discharge Coping Difficulty Scale were developed by Dr. Marianne Weiss to measure nurse-sensitive discharge care processes and patient outcomes. Three versions of the scales were developed concurrently for different patient populations – Adult medical-surgical patients, Parents of hospitalized children, and Postpartum Patient mothers (see Weiss & Piacentine, 2006, Weiss et al., 2007, and Bobay et al., 2018 for description of the development and initial testing). Additional scales and information about translation rights are located at Marquette Nursing.

PERMISSION TO USE

The Readiness for Discharge Scale, Quality of Discharge …

Pdcds-Adult Korean, Marianne E. Weiss, Kim Jeoung Hee

Quality of Discharge Teaching Scale

The Readiness for Hospital Discharge Scale, Quality of Discharge Teaching Scale, and Post-Discharge Coping Difficulty Scale were developed by Dr. Marianne Weiss to measure nurse-sensitive discharge care processes and patient outcomes. Three versions of the scales were developed concurrently for different patient populations – Adult medical-surgical patients, Parents of hospitalized children, and Postpartum Patient mothers (see Weiss & Piacentine, 2006, Weiss et al., 2007, and Bobay et al., 2018 for description of the development and initial testing). Additional scales and information about translation rights are located at Marquette Nursing.

PERMISSION TO USE

The Readiness for Discharge Scale, Quality of Discharge …