Digital Commons Network^™

Regulating Lithium Metal Nucleation And Growth For Dendrite Suppression: From Liquid-Electrolyte To Solid-State Batteries, Ao Du, Juan Zhang, Pan Xu, Ya-Jie Li, Kang-Yu Yi, Zhen-Zhen Shen, Hui-Lin Ge, Guang-Wen Zhang, Chao-Hui Zhang, Yu-Hao Wang, Chen-Zi Zhao, Meng-Yang Xu, Yu-Lin Jie, Rui Wen, Shu-Hong Jiao, Si-Qi Shi, Qiang Zhang, Chun-Peng Yang, Yu-Guo Guo

Journal of Electrochemistry

Lithium metal anodes, with a theoretical capacity of up to 3860 mAh·g⁻¹, are regarded as the cornerstone for developing next-generation high-energy-density batteries. However, several key challenges hinder their practical applications, including dendrite formation, unstable solid electrolyte interphase (SEI), side reactions with electrolytes, and associated safety risks. This review systematically explores the mechanisms of lithium nucleation, growth, and stripping in both liquid and solid-state battery systems, analyzing critical theoretical concepts like heterogeneous nucleation thermodynamics, surface diffusion kinetics, space charge effects, and SEI-induced nucleation, which are crucial for understanding the genesis of dendrite growth. Additionally, the review discusses the electrochemical-mechanical …

Fluorosilane-Induced Softening And Collapse Of Micropillar Arrays, Gabriela Moreira Lana, Maja Fehlberg, Petra Herbeck-Engel, Gisela Heppe, Raimund Schlüßler, Torsten Jähnke, Eduard Arzt, Roland Bennewitz

Chemical and Biochemical Engineering Faculty Research & Creative Works

Replica molding is a widely used technique for the fabrication of polymer microstructures. As structural dimensions decrease, anti-stick surface treatment of the mold becomes increasingly critical to ensure clean demolding and preserve structural integrity. We fabricated arrays of micropillars with 20 µm diameter and 60 µm height using medical-grade polydimethylsiloxane (PDMS), MDX4-4210, and observed a high fraction of collapsed pillars for the first molding after fluorosilanization of the mold to reduce sticking. To address this issue, we systematically investigated the surface treatment protocol for the molds, made from the PDMS Sylgard 184. We provide results from complementary measurement methods, to …

Biocompatible And Antibacterial Pcl-Tio2@Ag/Γ-Cd Mof Nanocomposite Coating For Corrosion Resistance Of Magnesium Alloy In Simulated Body Fluid, Sara Dehghan-Chenar, Hamid R. Zare, Zahra Mohammadpour, Maryam Sadat Mirbagheri-Firoozabad

Journal of Electrochemistry

Magnesium alloys are promising candidates for bio-implant applications due to their biodegradability and biocompatibility. However, their rapid corrosion remains a critical limitation. This study presents the development of a multifunctional nanocomposite coating designed to enhance the corrosion resistance and antibacterial properties of magnesium alloy implants. The coating comprised γ-cyclodextrin metal-organic frameworks (γ-CD MOFs) decorated with TiO₂@Ag core-shell nanoparticles, embedded in a polycaprolactone (PCL) matrix. Immersion tests in a simulated body fluid (SBF) revealed an initially higher corrosion rate for the PCL-TiO₂@Ag/γ-CD MOF coating compared to the coating without TiO₂@Ag nanoparticles; however, it demonstrated significant …

Ai-Based Mapping Of Offshore Wind Energy Around The Korean Peninsula Using Sentinel-1 Sar And Numerical Weather Prediction Data, Jason Sung-Uk Joh, Son V. Nghiem, Menas Kafatos, Jay Liu, Jinsoo Kim, Seung Hee Kim

Institute for ECHO Articles and Research

Offshore wind farm projects are being promoted in the seas surrounding the Korean Peninsula to secure renewable energy. To support site selection, offshore wind resource maps were generated using deep neural networks trained on Sentinel-1 SAR imagery, numerical weather prediction data, offshore wind observations, sea surface temperature, and bathymetry. The deep neural network (DNN) framework consisted of six sub-models targeting eastward and northward wind components across three regions—the Yellow Sea, Korea Strait, and East Sea—to account for spatial heterogeneity. The proposed models outperformed existing approaches, achieving mean absolute errors (MAE) ranging from 1.31 to 1.69 m/s and correlation coefficients (CC) …

A Forensic Logging Framework For Llms, Giannis Tziakouris, Elio Biasiotto

Defensive Publications Series

Large language models (LLMs) are increasingly embedded in enterprise, operational, and security-sensitive workflows. These include automated coding assistants, knowledge management systems, and multi-agent orchestration platforms where LLMs act as intermediaries between users and external tools. While significant research has been directed toward preventive safeguards such as input filtering, refusal mechanisms, and adversarial robustness, far less attention has been paid to forensic readiness. When incidents occur, ranging from malicious prompt injections to unauthorized tool usage or exfiltration of sensitive data, existing LLM implementations fail to provide investigators with reliable records for reconstruction, containment, or attribution.

To address this deficiency, a comprehensive …

Groundwater Quality And Health Risk Assessment In The Fujairah Region Using Hydrogeochemical, Statistical, And Spatial Approaches, Mohammed Khaled Alawlaqi

Thesis/ Dissertation Defenses

Groundwater is a valuable resource in the arid climate of the United Arab Emirates, where growing population, agricultural, and industrial activities are putting increasing pressure on limited groundwater reserves. This study investigates the hydrogeochemical characteristics of groundwater in the Fujairah region, with a particular focus on major ions and trace metals, to assess water quality and potential health risks. A total of 64 groundwater samples were collected from the Eastern Shallow Aquifer (ESA) and the Ophiolite aquifer in the study area and were analyzed for physicochemical parameters, major ions, and trace metals. Hydrogeochemical interpretation was conducted using Piper, Gibbs, Chadha, …

Enhancement Of Aeration And Activated Sludge Processes Using Micronanobubbles For Efficient Wastewater Treatment, Marwa Ahmed Abdelhamid

Thesis/ Dissertation Defenses

Aeration is considered one of the most reliable and efficient processes in wastewater treatment. However, conventional aeration systems show low performance with respect to the gas transfer during the treatment process. This poses a challenge in maintaining sufficient dissolved oxygen (DO) concentrations essential for the treatment. The use of micronanobubbles (MNBs) in the aeration process has been proposed as effective tool in water and wastewater treatment owing to their stability and longevity. MNBs’ stability is a distinctive property resulting from several mechanisms, including the repulsion force due to charged surfaces that helps bubbles to resist coalescence/bursting. MNBs’ longevity is represented …

Investigation Of Mechanical Performance And Metallurgical Characteristics Of Titanium Grade 2 Tube-To-Tubesheet Joints, Ahmad Hussein Al Tamimi

Thesis/ Dissertation Defenses

Tube-to-tubesheet joints, an integral component of shell and tube heat exchangers, are known for their vulnerability to leakage problems at the joint region due to mechanical and chemical factors coupled with fabrication techniques involved in creating these joints. An ideal condition of manufacturing process parameters and geometrical variables required to produce tube-to-tubesheet joints is highly desired. One of the most promising candidate materials to fabricate tube-to-tubesheet joints is titanium or titanium alloys due to their excellent strength and resistance to corrosion. The present study investigates the structural integrity of three categories of Titanium Grade 2 based tube-to-tubesheet joints comprising of …

Development And Experimental Validation Of A Bio-Based Co2 Purification Medium Derived From Puffed Rice Waste For Indoor Air Quality Improvement, Abeer Fuad Othman

Thesis/ Dissertation Defenses

Indoor environments are crucial for human activity, as people spend over 90% of their time indoors. This extensive indoor presence makes these spaces crucial for overall well-being. The growing awareness of Indoor Air Quality's (IAQ) impact on health, productivity, and wellness contrasts with buildings' contributions to greenhouse gas emissions, particularly through construction materials such as exterior walls, upper floors, and interior finishes. Classrooms are especially concerning because they house many students who are exposed to indoor air pollutants for extended periods. Given the significance of IAQ in educational settings, there is an urgent need for effective solutions to improve air …

Evaluating Large Language Models For Automated Cv Ranking: A Hybrid Embedding Approach For Enhanced Recruitment, Sarah Mohamed Alhindaassi

Thesis/ Dissertation Defenses

Increasing numbers of applications have revealed limitations in legacy keyword-filtering-based Applicant Tracking Systems (ATS), which commonly overlook candidate potential and ignore contextual or transferable skills. Advances in Natural Language Processing (NLP) and Large Language Models (LLMs) offer an exhilarating alternative, supporting context-sensitive and human-crafted reasoning in candidate evaluation. This thesis systematically evaluates four classes of approaches, lexical models, embedding-based methods, Large Language Models (LLMs), and hybrid ensembles, for automation of Curriculum Vitae (CV) to Job Description (JD) matching without exploiting prior annotations or annotations at match time. Using a combination of publicly available datasets and real-world sample data covering three …

Tax Trends, Harry Z. Garian

Tax Adviser

No abstract provided.

Professions At Work: Separating The Wheat From The Chaff In 1974, Joel M. Forster

Tax Adviser

No abstract provided.

Urban Form, Density, And Energy Efficiency: A Typo-Morphology-Based Simulation Framework For Superblock Planning And Densification In Abu Dhabi, Najeeba Ali Kunju

Thesis/ Dissertation Defenses

Urban form plays a critical role in shaping environmental performance, particularly building energy. In Abu Dhabi and other GCC cities, development is structured around superblocks—large arterial-bounded land parcels units derived from NPU planning principles. Rapid urban expansion, rising energy demand, and the predominance of low-density suburban growth (now exceeding 55% of Abu Dhabi’s footprint) highlight the need for frameworks that can evaluate the energy implications of this morphology and guide both new development and retrofitting strategies. Superblocks therefore offer a consistent and policy-relevant scale for analysing form–energy interactions in the GCC’s hot-desert context, where early-stage, morphology-informed planning tools are essential. …

Professions At Work: Proposed Source-Of Income Regulations: Tax Division’S Comments, Joel M. Forster, American Institute Of Certified Public Accountants. Federal Tax Division

Tax Adviser

No abstract provided.

Final Inventory Regulations: Analysis And Planning, Leslie J. Schneider

Tax Adviser

No abstract provided.

Tax Clinic, William T. Diss

Tax Adviser

No abstract provided.

Thermo-Chemical Recycling Of Waste Plastics Containing Halogenated Polymers (Br−, Cl−, F−) Using Potential Additives, Mohamed Shafi

Thesis/ Dissertation Defenses

Plastic waste handling is a daunting task due to the presence of halogenated polymers, specifically those cluttered with bromine (Br), chlorine (Cl), and fluorine (F). Halogenated plastics can be mixed with other polymers in the general plastic waste, particularly in the recycling stream. Brominated flame retardants (BFRs) are mainly present in e-waste and from the use of flame retardants in household items, textiles, and furniture. Plastics from discarded electronics often contain significant levels of bromine and chlorine, predominantly from flame retardants and plasticizers. Being the most deployed thermoplastic worldwide, waste polyvinyl chloride (PVC) generation is expected to increase by about …

Scan To Email Summary, Hp Inc

Defensive Publications Series

This innovation focuses on the automated use of imaging technologies to simplify a well-known user experience that is frustrating to many customers today - the ability to scan to email, and then easily retrieve the scanned content. Providing an automated, simplified experience that results in significantly improved customer satisfaction, being able to search and retrieve emails that they have scanned on a multi-function device through their regular email client. The system leverages Large Language Models (LLMs) with engineered prompts to generate contextually relevant filenames, titles, and summaries for scanned documents.

Adaptive Fast Charging For Hearable Devices Based On State Of Charge, Yao Ding, Babak Hashemizadeh

Defensive Publications Series

Disclosed is an adaptive, conditional fast-charging method for hearable devices. In the method, a high charge rate (C-rate) is applied only when the battery state of charge (SOC) is below a low threshold (e.g., 10-30%) and desired conditions (e.g., temperature, age) are met. Further, charging immediately reverts to a standard rate once an SOC target or a temperature limit is reached. This selective, conditional approach provides a rapid initial charge that significantly enhances the user experience, reduces the risk of lithium plating, and avoids the cost and size constraints associated with batteries designed for sustained high C-rates.

The Master Engineering Compliance Atlas: A Unified Architecture For Automating Global Regulatory Governance, Ai Safety, And Cyber Risk, Ramkumar Bharathan

Defensive Publications Series

This technical disclosure presents the "Master Engineering Compliance Atlas," a comprehensive framework designed to bridge the gap between complex global regulations and modern software engineering practices. As regulatory landscapes fragment across jurisdictions, this document provides a unified methodology for harmonizing requirements from major frameworks, including Sarbanes-Oxley (SOX), GDPR, the EU Digital Markets Act (DMA), the Digital Services Act (DSA), the EU AI Act, NIST SP 800-53, and ISO 27001.

Unlike traditional legal summaries, this framework focuses on technical implementation, offering specific architectural patterns, "L7" control designs, and automation strategies to achieve "Compliance as Code." It introduces a "Mega-Matrix" that maps …

Met Overexpression Is Associated With Superior Immunotherapy Benefit In Advanced Non-Small Cell Lung Cancer, Hui Li, Lingzhi Hong, Pedro Rocha, Rafael Bach, Luisa M Solis Soto, Waree Rinsurongkawong, Bingnan Zhang, Haniel A Araujo, Yasir Y Elamin, Mehmet Altan, Claudio A Arrechedera, Jianling Zhou, Khaja B Khan, Wei Lu, Elliana Young, Carl M Gay, Tina Cascone, Lauren A Byers, Ferdinandos Skoulidis, George Blumenschein, Frank V Fossella, Anne Tsao, Marcelo V Negrao, Natalie Vokes, Jia Wu, Hai T Tran, Ignacio I Wistuba, J Jack Lee, Don L Gibbons, Ara A Vaporciyan, John V Heymach, Xiuning Le, Jianjun Zhang

Faculty, Staff and Student Publications

Background/objectives: MET overexpression is common in non-small cell lung cancer (NSCLC). The correlation between MET overexpression and immune checkpoint inhibitor (ICI) efficacy in NSCLC is underexplored.

Methods: In this retrospective observational cohort study, we curated a dataset of 279 stage IV NSCLC patients who received ICI treatment and had MET expression assessed by CLIA-certified immunohistochemistry (IHC) assay. MET expression was graded on a scale from 0 to 3+, with overexpression defined as 2+ or 3+. Clinicopathological features associated with MET expression were assessed using logistic regression. Overall survival (OS) and progression-free survival (PFS) were evaluated via Kaplan-Meier analysis and the …

Exploring Variations In Emotional Intelligence And Burnout Among Nursing Students, Carrie Ann Bailey, Lynn Beeler, James Lewis

Biennial Convention (CONV)

The purpose of this research is to further validate a clinician language centric self-assessment of emotional intelligence and burnout to determine if there is a difference in the subscales that measure Emotional Intelligence between the accelerated baccalaureate student nurses (ABSN) and the traditional baccalaureate student nurses (BSN). Junior level traditional BSN students and first semester ABSN students were recruited and surveyed using the Maslach Burnout Inventory and the Scale of Emotional Functioning in Medicine. Demographic data was also compared between the two groups. Data was analyzed using Independent-Samples Mann-Whitney U Test. Results: The two groups of students were significantly different …

Creative Evaluators: When Machines Evaluate Us, Kuakou Bossou, Margareta Ackerman

Computer Science and Engineering

The Computational Creativity literature stresses the importance of evaluation in computational creativity systems in addition to generative capabilities. But, what about machines that only evaluate? When it comes to co-creative systems, humans often take on the primary evaluative role, while machines assist with the generation of creative artifacts. In this paper, we propose flipping the paradigm, envisioning machines that (only) evaluate humans in the creative space. We call such machines Creative Evaluators whose end goal is to evaluate human-made artifacts and provides feedback to aid humans in the creative process, while the machine itself refrains from directly generating any content. …

How Human Personality Will Change With The Use Of Artificial Intelligence, John Mayer

UNH Personality Lab

INTRODUCTION: Human personality changes in response to new habits, situations, and maturation, among other causes. As people interact with artificial intelligence (AI), their personalities are likely to change, from their emotional responses to their self-concept.

METHODOLOGY: This theoretical account draws together empirical studies of how personality changed in response to past technological innovations, changes in personal interactions observed in people’s AI usage, changes that arise from the use and disuse of cognitive skills, and works on the self-concept. Research reports in the review were selected according to their relevance and quality.

THEORETICAL STATEMENT: While AI becomes increasingly human-like, humans increasingly …

Red Midge Larvae Are An Invertebrate Alternative Diet To Beef Liver For Planarian Husbandry, Jonah Pacis , '25, Danielle Ireland, Evangeline Coffinas, Jerome Sheehan, Kate Sun , '27, Eva-Maria S. Collins

Biology Faculty Works

Freshwater planarians are an emerging model for toxicology and neuroscience because of their amenability to rapid behavioral screening and remarkable ability to regenerate a cephalized nervous system. As invertebrates, planarians can help reduce the use of vertebrates in research; however, laboratories typically maintain planarians on diets of homogenized organic beef or chicken liver, raising ethical concerns with feeding a vertebrate diet. Organic liver is difficult to obtain, and preparation methods vary, introducing intra- and interlaboratory variability. Here, we show that Dugesia japonica planarians can be maintained for over a year on commercially available red midge larvae (RML), a natural prey …

The Mechanism Of Action Of Remote Electrical Neuromodulation (Ren) In Treating Migraine And Potentially Other Idiopathic Pain Conditions, Marius Birlea, Christopher L. Robinson, Eden Mama, Alit Stark-Inbar, Alon Ironi, Daniel Atashsokhan, Thomas Berk

College of Nursing Faculty Papers & Presentations

Purpose of Review

This review provides evidence for the mechanism of action (MOA) of Remote Electrical Neuromodulation (REN), a non-pharmacological therapeutic technology for treating migraine and other symptoms manifested by certain idiopathic pain diseases. It discusses the main physiological and anatomical aspects associated with conditioned pain modulation (CPM), and how REN is applied for the treatment of migraine pain and other symptoms.

Recent Findings

The REN wearable device (Nerivio®) is FDA cleared for acute and preventive treatment of migraine in patients aged 8 years and above, and CE marked in patients aged 12 and above. In brief, the REN MOA …

Synthesis Of Sustainable Self-Foaming Glass Ceramics Using Waste Glass And Aluminium Dross, Abba Musa Hassan

Student Works (2020-2029)

The growing global demand for sustainable materials has driven extensive research into lightweight insulating materials, such as self-foaming glass ceramics (SFGCs), which align closely with the principles of a circular economy. While the alkali activation of aluminosilicates offers an environmentally friendly alternative to conventional, energy-intensive industrial methods for producing glass-based foams, current approaches often depend on synthetic foaming agents, high-speed agitation, and elevated sintering temperatures. These factors adversely affect slurry rheology, resulting in suboptimal microstructures, reduced mechanical strength, increased production costs, and negative environmental impacts. This study contributes to the advancement of the field by developing eco-friendly SFGCs using soda-lime …

Transdisciplinary Perspectives On Ai: The Fourth Annual Conference Of The European Culture And Technology Laboratory, Connell Vaughan, Ioana Madalina Moldovan, Silivan Moldovan, Noel Fitzpatrick

Books/Book Chapters

The fourth annual conference of the ECT Lab+ was hosted by Technical University of Cluj-Napoca over two days in October 2024 at the Cluj Innovation Park. The conference brought together experts from the Arts, Humanities, Social Sciences, Technology, and other fields to discuss and reflect on the advent of Artificial Intelligence and how the associated technologies are transforming how we live, work and study. Under the title Transdisciplinary perspectives on AI: Alternative Histories, Current Practices and Possible Futures the conference moved beyond simplistic technophila and technophobia to consider whether we can co-evolve with these new technologies which combine machine learning …

Self-Harm In Indonesian Adolescents And Undergraduates (2015–2025): A Bibliometric And Science-Mapping Study With Guidance And Counseling Implications, Febranti Putri Navion, Wikan Galuh Widyarto, Khilman Rofi' Azmi, Muhammad Sholihuddin Zuhdi, Febri Tri Cahyono, Muchammad Saiful Machfud, Alfan Arifuddin

Buletin Konseling Inovatif

The objective of this study is to map a decade (2015–2025) of Indonesian research on self-harm among secondary-school students and undergraduates while examining its implications for guidance and counseling practice in schools and universities. The methods applied were a bilingual, population-bounded bibliometric design in which data were retrieved from Google Scholar using Publish or Perish (PoP), screened through a PRISMA-guided protocol, and analyzed with performance indicators such as annual output, sources, top documents, and citation trends, complemented by science-mapping techniques including keyword harmonization and VOSviewer-based co-word networks. The results show that from 440 records initially retrieved, 119 studies met the …

Potential Use Of Waste-Derived Products In Producing Geopolymer Sorbents, Mariam Mohammed Al Nuaimi

Thesis/ Dissertation Defenses

Environmental sustainability and the circular economy are central to addressing global challenges in waste management and water pollution. This study investigates the synthesis and performance of geopolymers derived from industrial wastes, including fly ash, waste glass, silt deposits, and carbide lime, as adsorbents for methylene blue (MB) dye removal from water. Geopolymers were engineered under varying particle sizes, NaOH addition methods, and curing temperatures. Their physicochemical and microstructural properties were thoroughly characterized via scanning electron microscopy (SEM), X-ray diffraction (XRD), X-ray fluorescence (XRF), Fourier Transform Infrared Spectroscopy (FTIR), andparticle size analysis (PSA). Among the tested formulations, the sodium silicate–sodium hydroxide …