Digital Commons Network^™

Machine Learning For Functional Outcome Prediction After Vestibular Schwannoma Surgery: A Systematic Review And Diagnostic Test Accuracy Meta-Analysis, Shiva Nischal, Shaan Patel, Musa China, Kush Kale, Yi Hein Chai, Santosh Guru, William Muirhead, Patrick Grover

Department of Neurosurgery Faculty Papers

PURPOSE: Machine learning (ML) models have been increasingly applied to predict postoperative facial nerve dysfunction and hearing preservation after vestibular schwannoma (VS) surgery. However, reported performance varies substantially, and the overall diagnostic accuracy and clinical reliability of these models remain uncertain. We conducted a systematic review and diagnostic test accuracy meta-analysis to characterise the current state and methodological readiness of ML-based prediction of these outcomes.

METHODS: PubMed, Embase, and CENTRAL were searched from inception to February 2026. Studies evaluating ML-based prediction of facial nerve function or hearing preservation following VS surgery were included. Diagnostic performance metrics were pooled using random-effects …

Interpretable Multimodal Learning For Integrating Neuroimaging And Genetic Data In Alzheimer’S Disease, Kun Zhao, Siyuan Dai, Yingying Zhang, Guodong Liu, Pengfei Gu, Chenghua Lin, Paul M. Thompson, Alex D. Leow, Heng Huang, Haoteng Tang

Computer Science Faculty Publications

Introduction: Early detection of Alzheimer's disease (AD) requires models that combine brain structure changes with genetic risk, but existing methods struggle to align these different data types.

Methods: We present R-GenIMA, an interpretable multimodal large language model that pairs a region-of-interest vision transformer with genetic prompting to jointly analyze structural MRI and single nucleotide polymorphisms (SNPs). Each brain region becomes a visual token and SNP profiles are encoded as structured text, letting the model link regional atrophy to genetic factors through cross-modal attention. Tested on the ADNI cohort, R-GenIMA performs well in classifying four groups: normal cognition, subjective memory concerns, …

Molecular Interactions Of The Gas–Solid Interface: Svocs On Swelling Clays And San Joaquin Soil Surfaces, Liesl T. Jensen

Electronic Theses and Dissertations

Soil-derived mineral dust plays an important role in atmospheric chemistry by acting as a reactive interface for gas–particle interactions that influence the fate and transport of organic contaminants. Among soil components, clay minerals dominate surface reactivity due to their high surface area, structural complexity, and the presence of chemically active sites arising from cation exchange capacity and surface acidity. Environmental conditions, particularly relative humidity, further regulate these interactions by altering surface accessibility and competitive adsorption processes.

Despite the recognized importance of mineral dust, gas-phase interactions between organic compounds and clay minerals remain insufficiently understood, particularly under atmospherically relevant conditions. This …

Norman H. Cromwell, Unl Chemistry; Nu System Dean; Eppley Cancer Center Director, Norman H. Cromwell, Pete Boughn, Mark A. Griep

UNL ORCA Interview Series

This 1980 interview of Normal Cromwell was done by Pete Boughn at the University of Nebraska Medical Center in Omaha. He asked about Cromwell’s history but mostly about his time as director of the Eppley Cancer Center. The interview is reproduced with permission from the UNMC McGoogan Library.

Cromwell was born in 1913 in Terre Haute, Indiana. In 1935, he earned a bachelor’s degree in chemical engineering from the Rose-Hulman Institute of Technology in his hometown. In 1939, three things happened: he earned a doctorate in organic chemistry from the University of Minnesota, he got married, and he was hired …

Field-Like- And Self-Spin-Orbit Torques In Magnetic Multilayer Films, Kyle Jeffrey Peterson

Electronic Theses and Dissertations

Spin-orbit torques (SOTs) have been realized as an energy efficient mechanism to manipulate and drive magnetization dynamics in magnetic multilayer films. Their damping-like and field-like components provide distinct pathways for controlling the magnetization, enabling switching, sustaining magneto-oscillations, and driving domain-wall motion with potential applications in nonvolatile memory, spin-based logic, and microwave signal generation. However, the accurate quantification and interpretation of these torques remains complicated by experimental sensitivity, the co-symmetry of the Oersted field and the effective field due to the field-like torque, and assumptions regarding the material layers from which the torques originate. The body of work set forth in …

Physical Design Automation For Next Generation Ics: Graph And Machine Learning Based Approaches, Dr. Kritanta Saha

Doctoral Theses

Integrated Circuit (IC) technology has progressed significantly over the last six decades, culminating in billions of transistors on a chip. The widely used 193 nm immersion lithography process exceeds modern feature sizes, leading to layout pattern distortions and electrical violations. Mitigation techniques such as Multiple Patterning and Optical Proximity Correction become ineffective below 45 nm, prompting the development of several Next-Generation Lithography (NGL) methods such as Extreme Ultraviolet Lithography (EUVL), Multiple Electron Beam Lithography (MEBL). MEBL employs thousands to millions of e-beams in parallel to overcome throughput limitations. A 2D layout is partitioned into vertical stripes by stitch-lines (SLs), each …

Draft Final 2023 Reclamation Improvement Sites Sampling: Bres No. 17 – Paymaster Dump Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

This Butte Priority Soils Operable Unit (BPSOU) Reclamation Improvement (RI) Site Evaluation Summary Report (SESR) presents results of soil sampling conducted on October 11, 2023, at the Butte Reclamation Evaluation System (BRES) No. 17 – Paymaster Dump Site and adjacent areas (referred to herein as Site) within the BPSOU. The BPSOU Consent Decree (CD) (referred to herein as BPSOU CD; EPA, 2020) Appendix D, Attachment C Further Remedial Elements Scope of Work (FRESOW) prescribed further evaluation of sites reclaimed prior to establishment of the Butte Hill Revegetation Specifications (BHRS) (Appendix A to the BPSOU CD), which were initially established in …

Pathways For Coordinating High-Quality Exploitation Of Marine Resources And High-Level Protection Of Marine Ecosystems, Jianping Yin, Peimin Duan, Si Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The ocean serves as a vital strategic space and a reservoir of resources essential for human survival and development, offering robust support for socioeconomic progress. Simultaneously, as a critical component of the Earth’s ecological environment, the ocean plays a pivotal role in regulating climate change, conserving biodiversity, and maintaining ecological balance. In recent years, China has continuously intensified the exploitation and utilization of marine resources, with the growth of the marine economy injecting blue momentum into the nation’s development. Nevertheless, the long-term, high-intensity exploitation of offshore resources, coupled with the ongoing advancement into deep-sea resource development, has led to frequent …

Energy Security Strategy Empowered By Artificial Intelligence, Qiang Ji, Jiaofeng Pan, Yu Song

Bulletin of Chinese Academy of Sciences (Chinese Version)

Against the backdrop of unprecedented changes in a century, geopolitical restructuring has led to the fragmentation of energy game camps, climate change has impacted the resilience of energy infrastructure, and energy transformation has promoted the multidimensional and coordinated expansion of security connotations. Artificial intelligence, with its core advantages such as optimizing geopolitical risk prevention and control, enhancing infrastructure protection, improving energy system efficiency, and accelerating the integration of renewable energy, has promoted the shift of energy security strategy from experience driven to data-driven intelligence, achieving comprehensive risk identification, dynamic evaluation, collaborative response, and full chain monitoring, significantly improving the efficiency, …

Challenges, Opportunities, And Countermeasures For China’S Green Transition In Context Of Global Reallocation Of Energy Supply Chains, Yan Sun, Pu Wang, Yi Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The stability and resilience of energy supply chains are directly linked to an orderly economy and society, national energy security, and global governance of climate change. Tensions and strategic competition in global geopolitics have accelerated regionalization, consolidation, and localization of global energy supply chains, posing significant challenges to China as a major energy consumer. Based on the latest situation of global energy changes, the study focuses on the new challenges in China’s green transition, and highlight four key areas for China in global energy supply chains, including critical mineral resources, clean hydrogen, electric vehicles, and power batteries. Policy recommendations are …

Large Models Empowering Cybersecurity: Opportunities And Challenges, Zhuofeng He, Dongbin Hu, Yige Yuan

Bulletin of Chinese Academy of Sciences (Chinese Version)

Cybersecurity serves as a critical pillar for national security and social stability. Large models in cybersecurity are emerging as key enablers for the intelligent transformation of cyber offense and defense systems. As one of the most advanced core technologies in artificial intelligence, large models are introducing new research directions and application paradigms in the cybersecurity domain. This study systematically reviews the current landscape of cybersecurity-oriented large model applications and products, and explores their deployment scenarios in practice. It further analyzes the development trends in model capabilities, industry ecosystems, and trustworthiness, while identifying major practical challenges such as data privacy protection, …

Critical Core Technology Breakthroughs In Large-Scale Models: Industrialization Strategies And Policy Implications, Zhongqi Wu, Yinshan Liu, Tao Dai, Xiaolong Zheng

Bulletin of Chinese Academy of Sciences (Chinese Version)

As a pivotal direction for breakthroughs in key core technologies within the artificial intelligence domain, large-scale models hold strategic significance in securing national scientific and technological sovereignty. This study employs a multidimensional framework encompassing “technological breakthroughs, industrial transformation, and governance policies” to systematically investigate the developmental trajectories and industrialization bottlenecks of large-scale models. At the technological level, while large-scale models exhibit exponential growth in parameter scale and computing power demands, they face critical challenges including the scarcity of high-quality data, insufficient transfer learning capabilities, and reliability-explainability trade-offs. Industrially, these models are reshaping the global industrial chain landscape through a dual-track …

Evolutionary Trajectory Of Ai And Robotics Integration, Jiannan Zhu, Jianfeng Guo, Siyao Liu, Qi Cao

Bulletin of Chinese Academy of Sciences (Chinese Version)

The convergence of artificial intelligence (AI) and robotics is a cornerstone for the intelligent transformation of the physical world. This study conducts a systematic analysis of over 230,000 publications from the Web of Science and WIPO databases between 1982 and 2025 to dissect the evolutionary trajectory of AI and robotics integration since the 20th century. The findings identify four distinct developmental stages—independent exploration, functional coupling, primary intelligence, and intelligent symbiosis—while delineating the key technological breakthroughs and paradigm characteristics of each phase. Furthermore, seven core research thrusts are distilled, including motion planning and autonomous decision-making and perception & environmental understanding. An …

Multiple Secondary Risks Triggered By Rapid Rising Of Groundwater Level And Corresponding Tactics In The North China Plain, Yanjun Shen, Fubao Sun, Congqiang Liu, Fengchang Wu

Bulletin of Chinese Academy of Sciences (Chinese Version)

In recent years, following the implementation of the South-to-North Water Diversion Project and comprehensive control of groundwater over-exploitation, coupled with natural factors such as more frequent and intensified extreme rainstorms, the groundwater level at large extent of the North China Plain has stopped declining and even started rising, with gradual recovery of groundwater storage. Nevertheless, the rapid rise in groundwater levels has disrupted the long-standing hydrological-geological-ecological balance shaped by prolonged over-extraction, triggering multiple secondary risks. The rebounding water level markedly exacerbates potential seismic liquefaction hazards at construction sites and raises risks of water seepage, anti-float failure, and structural damage for …

Analysis Of Global Carbon Neutrality Situation And Policy Insights For China, Lina Liu, Jiansheng Qu, Jingjing Zeng, Xiaoyu Song, Qin Liao, Yibo Niu, Yanfei Liu, Bingxue Qin

Bulletin of Chinese Academy of Sciences (Chinese Version)

Achieving the goal of “dual carbon” (carbon peaking and carbon neutrality) will bring comprehensive and profound systematic changes in China’s social economy. By analyzing the global trend of carbon neutrality, it can be seen that the topics of carbon neutrality mainly focus on four aspects: emission reduction categories, key areas, technological innovation, and carbon market construction. At present, China is steadily building a multi-level (national, regional, and enterprise) carbon-neutral policy framework system. In key areas such as energy, industry, transportation, construction, agriculture, and forestry, China not only actively takes practical and effective actions but also vigorously carries out scientific and …

Practice And Exploration Of Energy Conservation And Carbon Reduction In National Scientific Research Institutions—Analysis Based On Survey Of Affiliated Institutions Of Chinese Academy Of Sciences, Shouxian Sun, Shangchong Xu, Lingling Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Achieving carbon peak and carbon neutrality is a broad and profound transformation of the economic and social system. As both important and unique public institutions in the country, national research institutions play a key role in the society-wide efforts to save energy and reduce carbon emissions. Based on an analysis of the current situation and challenges of energy conservation and carbon reduction in national research institutions, this study selects several institutions affiliated with the Chinese Academy of Sciences as research subjects and conducts a questionnaire survey from four aspects: individual energy-saving awareness and behavior habits, energy consumption of the institution …

A Return On Investment (Roi) Evaluation Tool For Quantifying The Value Of Cybersecurity Certifications, Nicolas Meysmans, Kelly Hughes

Journal of Cybersecurity Education, Research and Practice

The growing reliance on cybersecurity certifications has increased the financial and professional stakes associated with certification decision-making for cybersecurity professionals. Despite their widespread use in hiring and career advancement, there is limited objective guidance available to help individuals evaluate the return on investment (ROI) of specific certifications. This gap has created uncertainty regarding which credentials provide the greatest value relative to their cost and market impact. This study presents a data-driven, design science–based tool that supports cybersecurity professionals in evaluating certification ROI using practitioner survey data combined with certification cost and labor-market demand indicators. The paper also demonstrates how such …

From Disruption To Replacement: The 2026 Cae Cybersecurity Community Symposium And The Emerging Federal-Academic Compact For An Ai Workforce, Sunday Oludare Ogunlana

Journal of Cybersecurity Education, Research and Practice

The cybersecurity workforce gap in the United States is estimated at several hundred thousand unfilled positions, and the rapid integration of artificial intelligence into adversary tradecraft and federal cyber operations is widening that gap qualitatively as well as quantitatively, threatening national security and the operational readiness of graduates entering the field. This perspective article synthesizes the principal arguments advanced by five federal and academic speakers at the 2026 CAE Cybersecurity Community Symposium, using verbatim session transcripts, a structured thematic extraction process, and triangulation against published workforce policy and peer-reviewed literature. Findings document a unified speaker thesis that artificial intelligence now …

Computer Organization And Assembly Language Programming, Chenxi Wang Phd, Muhammad Rashed Phd

Mavs Open Press Open Educational Resources

Computer Organization and Assembly Language Programming is an open textbook written for CSE 2312 students at The University of Texas at Arlington and for anyone who wants to see clearly how high-level code becomes machine operations. The book takes the position that assembly is not a historical curiosity but a working tool: it is where system programming, embedded development, performance tuning, and real debugging skill begin.

Across sixteen chapters, this textbook builds from number systems and base conversion through ALU operations, status flags, and shift operations, then into ARMv7 assembly syntax, the load and store architecture, endianness, addressing modes, branch …

Evaluating A Dual-Beacon Hartmann Turbulence Profiling Technique Using Wave Optics Simulations, Benjamin C. Wilson, Matthew Kalensky, Santasri Bose-Pillai, Jack E. Mccrae

Faculty Publications

Resolving how optical turbulence varies along a propagation path remains a key challenge for designers of free-space optical propagation systems. Instruments such as scintillometers and differential image motion monitors are commonly used, but only provide path-integrated turbulence estimates. Point sensors provide localized estimates of turbulence strength and can be used to generate path-resolved profiles when an array of point sensors are distributed along the optical path. However, this approach can be costly and complex to deploy in certain environments. Alternatively, a single point sensor can be mounted on a mobile platform that collects data while traversing the optical path, although …

Oregon State Rank Assessment For Stemmed Polypore (Xeroceps Skamania), Nora Dunkirk

Institute for Natural Resources Publications

Oregon state conservation status assessment for Stemmed Polypore (Xeroceps skamania) using NatureServe methodology, 2026.

Assessment Of The Radionuclide Concentration Levels Of Water And Sediments Along The Mara River, Gasper Kachenge, Abubakary Salama, Abdalah Kileo, Furaha Chuma

Tanzania Journal of Science

For many years, several factors have impacted the water quality of the Mara River, including population growth, agricultural expansion, livestock keeping, mining, and industrial activities. These factors have intensified water pollution and climate change effects around the river. While previous studies have mainly focused on assessing heavy metal pollution risks on the Mara River, this study evaluates the concentration levels of radionuclides in boreholes, water, and sediments along the river and its tributaries. Naturally occurring radioactive materials, including 226Ra, ²³²Th, and ⁴⁰K, were evaluated. A high-purity germanium radiation detector (HPGe) with a coaxial detector system coupled with Gamma Vision software …

Addressing Knowledge And Data Gaps That Limit Pesticide Risk Assessment For Managed Solitary Bees Used For Alfalfa Pollination, Kimberly J. Hageman

Funded Research Records

No abstract provided.

Acetylcholinesterase Immobilization On A Natural Thin Membrane For Stable Biocatalyst Design, Si̇nem Öztürk, Ceyhun Işik, Mustafa Teke

Turkish Journal of Chemistry

This study involved the immobilization of acetylcholinesterase (AChE) onto a natural thin membrane extracted from the inner epidermal layer of Allium cepa, with the aim of enhancing the enzyme’s stability, activity, and reusability for potential biotechnological applications. The membrane, composed of biocompatible polymers and naturally occurring functional groups, was used as a sustainable support in a combined strategy involving adsorption followed by glutaraldehyde-mediated cross-linking. Immobilization conditions were optimized by evaluating key factors such as enzyme concentration, membrane quantity, cross-linker dosage, and contact time to achieve maximal catalytic efficiency. Structural and morphological changes on the membrane surface were assessed via scanning …

Folic Acid-Targeted Polymeric Complex Imprinted With Doxorubicin And Quercetin For Controlled Drug Delivery In Cancer Therapy, Ceren Türkcan, Emi̇rhan İşeri̇

Turkish Journal of Chemistry

​Cancer therapy is often limited by the systemic toxicity and dose-dependent adverse effects of conventional chemotherapeutic agents such as doxorubicin (DOX). In this study, a folic acid-functionalized molecularly imprinted polymeric complex based on poly(HEMA) crosslinked with ethylene glycol dimethacrylate was synthesized for the controlled release of DOX in combination with quercetin (QUE), a flavonoid known for its antioxidant and chemosensitizing properties. The aim of this work was to develop and physicochemically characterize a preliminary targeted drug delivery platform at a material-design level. The polymeric complex was synthesized via free-radical polymerization following a DOX–QUE precomplex formation step. Structural characterization was performed …

Antifungal Activity Of Isolated Compounds From Centaurea Salicifolia Var. Salicifolia Against Candida Species, Including Multidrug-Resistant C. Auris, C. Inconspicua, And C. Dubliniensis, Seli̇n Tufan, Di̇lek Şatana, Nur Tan

Turkish Journal of Chemistry

Natural compounds obtained from plants have always held great potential for drug discovery and, as such, have drawn the attention of researchers as novel antifungal molecules that can be effective against fungal resistance. The antifungal activity of sesquiterpene lactones has been extensively investigated against various fungal strains, but there is limited data on their antifungal activity against Candida species. Sesquiterpene lactones are abundant in the Asteraceae family, and 90% of identified sesquiterpene lactones have been isolated from members of this family. Three extracts obtained from the aerial parts of Centaurea salicifolia var. salicifolia, which had not been investigated prior to …

Electrochemical Determination Of Terbutaline Using A Sno2 Nanoparticle-Modified Carbon Paste Electrode, Rauf Gulamov, Şenol Alpat, Si̇bel Kilinç Alpat

Turkish Journal of Chemistry

Terbutaline hemisulfate (THS), a selective beta-2 agonist, is preferred as a bronchodilator for the treatment of asthma and bronchitis, as well as a tocolytic agent to delay labor in acute situations during premature birth. The use of beta-2 agonists above a certain dose is considered doping in sports competitions. Therefore, it is important that they be determined with high sensitivity and selectivity within a short analysis time. In this study, a SnO2 nanoparticle-modified carbon paste electrode was developed for the determination of THS. Cyclic voltammetry and differential pulse voltammetry were employed as electrochemical methods. The operating conditions of the developed …

Sensitive Electrochemical Sensor For Simultaneous Determination Of Epinephrine And Norepinephrine By Sio2np@Mwcnt-Cooh Nanoparticle-Modified Spces​, Merve Yilmaz Çilçar, Meli̇ke Bi̇lgi̇ Kamaç, Ayşenur Yilmaz Kabaca, Şahi̇n Toparli, Faruk Terzi̇oğlu, Emi̇r Ateş

Turkish Journal of Chemistry

Epinephrine (EP) and norepinephrine (NEP), both neurotransmitters, are two important biomolecules that play critical roles in the body, from the central nervous system to metabolic processes. They are also important biomarkers for clinical diagnosis and monitoring. In this study, a novel, fast, practical, and high-performance electrochemical sensor based on a SiO2NP@MWCNT-COOH nanocomposite was developed for the simultaneous determination of EP and NEP. The nanocomposite was modified onto the surface of screen-printed electrodes (SPCEs) and its characterization was performed (SEM-EDX, XRD, FTIR, CV, DPV, and EIS). The individual and simultaneous determinations of EP and NEP were performed using square-wave voltammetry, yielding …

Chitosan Microparticle-Based Antibacterial Nasal Barrier Formulation And In Vivo Evaluations, Güli̇z Ak, Ayça Erek, Tuğba Karakayali, Şadi̇ye Çeti̇n, Şenay Şanlier

Turkish Journal of Chemistry

Microorganisms remain a major cause of infectious diseases, emphasizing the need for alternative and complementary antimicrobial strategies. In this context, plant-derived materials have attracted increasing attention for their antimicrobial and protective properties. Chitosan, a biocompatible and cationic biopolymer, has emerged as an effective carrier system for encapsulating such plant-derived components. In this study, chitosan microparticles were prepared through ionic gelation followed by spray drying and loaded with thyme oil and olive leaf extract. The resulting microparticles exhibited an average size of approximately 1.8 μm and a total phenolic content of 23 mg GAE/g. These microparticles were incorporated into a glycerin–starch …

A Poly-L-Lysine-Functionalized Electrochemical Immunosensor Enables Highly Sensitive Detection Of Tumor Necrosis Factor Receptor-Associated Protein 1, Berfi̇n Vural, Mustafa Kemal Sezgi̇ntürk

Turkish Journal of Chemistry

Tumor necrosis factor receptor-associated protein 1 (TRAP-1), a member of the mitochondrial heat shock protein family (HSP90), is essential for protein homeostasis, stress response, and cell cycle. TRAP-1 not only optimizes cellular energy production but also prevents cell death, thereby supporting the survival and proliferation of tumor cells. In addition to cancer, TRAP-1 has been associated with Parkinson’s disease, certain autoimmune disorders, and abnormalities in the kidney and urinary tract. In this study, a unique and useful indium tin oxide-polyethylene terephthalate (ITO–PET)-based electrochemical biosensor is described for detecting the biomarker TRAP-1. The ITO–PET electrode, selected as the working electrode, is …