Digital Commons Network^™

Comparative Analysis Of Takagi-Sugeno And Mamdani Fuzzy Inference Architectures With Anfis-Based Automated Rule Generation For Eeg-Based Cognitive State Monitoring, Amina Radončić, Mehrija Hasičić, Jasmin Kevrić

Communications of the IIMA

Fuzzy inference systems have demonstrated considerable promise for EEG-based cognitive state monitoring in neurodegenerative conditions. However, two design decisions significantly influence system performance and clinical applicability: the choice of inference architecture (Takagi-Sugeno vs Mamdani) and the method of rule and membership function generation (manual expert-driven vs data-driven automated). This paper presents a comparative analysis of both dimensions in the context of an EEG-based Alzheimer’s disease monitoring system operating on the ds004504 OpenNeuro dataset (88 subjects: 36 AD, 23 FTD, 29 HC). A Takagi-Sugeno system, implemented as a hybrid FSM-Fuzzy architecture, is compared against a Mamdani equivalent across four axes: inference …

Ai-Supported Analysis Of Jury Deliberation Impact Factors, Jennifer Siciliani Phd

Generative AI Teaching Activities

Students conduct a controlled, two-run generative AI jury simulation to examine how a single socio-legal variable affects simulated jury deliberation. They compare and manually code the AI-generated outcomes against peer-reviewed human jury research to evaluate the model’s accuracy, limitations, and potential biases.

Discovering Repurposable Drugs For Alzheimer's Disease And Related Dementias: Target Trial Emulation Using Decentralised Real-World Data, Qiong Wu, Lu Li, Yuqing Lei, Ting Zhou, Huilin Tang, Bingyu Zhang, Yiwen Lu, Maxwell Salvatore, Dazheng Zhang, Jiayi Tong, Tingyin Wang, Siqi Chen, Haoyang Li, Zhenxing Xu, Yu Huang, Yu Hu, Na Hong, Yujia Zhou, Fongci Lin, Kyra O'Brien, Yong Chen, Ruowang Li, Hua Xu, Fei Wang, Jiang Bian, David Wolk, Yong Chen

College of Population Health Faculty Papers

BACKGROUND: Alzheimer's disease and related dementias (ADRD) affect nearly 6.9 million Americans, with the number expected to triple by 2050, while disease-modifying therapies remain unavailable. Drug repurposing, which identifies new indications for already approved medications, offers a more efficient and cost-effective pathway to accelerate development of effective therapies for ADRD. The aim of this study is to identify potential drug repurposing signals by systematically screening routinely prescribed drugs for associations with progression from mild cognitive impairment (MCI) to ADRD.

METHODS: We conducted a multi-site target trial emulation using electronic health record (EHR) data from four decentralised databases: INSIGHT Clinical Research …

Preoperative Urine Drug Screen To Increase Surgical Efficiency, Joseph Mashinchi

SIU Journal of Medical Science Scholarly Works

Purpose: The purpose of this article is to standardize the use of preoperative urine drug screens for adults scheduled for elective surgery in order to improve surgical efficiency and reduce perioperative and postoperative complications.

Method: A PubMed Search was conducted to review literature published within the past five years. The joint terms “urine drug screen and surgery” were used in the search. A literature review was conducted after reviewing multiple articles and screening for their quality, timeliness, and pertinence to elective surgical procedures and illicit drug use.

Results: Performing a urine drug screen prior to elective surgical procedure identified illicit …

Artificial Intelligence Models For Automated And Semiautomated Analysis And Interpretation Of Clinical Electroencephalography, Sándor Beniczky, Birgit Frauscher, Fábio Nascimento, Shobi Sivathamboo, Catalina Rojas, Michael Sperling, Samden Lhatoo, Philippe Ryvlin, Levin Kuhlmann

Department of Neurology Faculty Papers

Electroencephalography is the most commonly used diagnostic tool for epilepsy. However, interpreting electroencephalograms (EEGs) requires expertise that is not widely available. Advances in digital technology and wearables have enabled large-scale EEG recording, generating vast amounts of data that cannot be managed through traditional visual interpretation by experts. Artificial intelligence (AI) has the potential to augment human expertise and reduce workloads. The application of artificial neural networks in analysing clinical EEG recordings has led to major breakthroughs, bringing AI-based EEG interpretation closer to clinical implementation. In this Review, we summarise the most important research and development results in this field from …

Ecofriendly Synthesis Of Silver Nanoparticles As Antimicrobial Active Agents From Its Cationic Precursors, Abdul Haris Watoni Watoni

Chimica et Natura Acta

This review presents a comprehensive survey on the green synthesis of silver nanoparticles from silver nitrate precursor using plant extracts along with their characterization and antimicrobial activity assessment. The synthesis of silver nanoparticles through a green chemistry approach is increasingly in demand because it is environmentally friendly, easy to do, and efficient, especially for the purpose of antimicrobial active ingredients in disinfectant and antiseptic formulas. Green synthesis of silver nanoparticles can be carried out using silver nitrate as a silver precursor and plant extracts as a source of bioreductants and capping agents. The synthesis products are then characterized using UV-Vis …

The Perceived Benefit Of A Degree Requirement In Emergency Medical Services Education And Success, Joseph H. Wood

Internet Journal of Allied Health Sciences and Practice

Introduction: This study sought to assess how graduates of Wallace Community College's paramedic program impacted their readiness for the NREMT Paramedic examination and entering the workforce, specifically comparing those who completed an associate degree to those who completed the certificate program. Methods: This qualitative study analyzed the perspectives of graduates from the paramedic program using a phenomenological approach. Using a purposive sampling technique, nine graduates were chosen for one-on-one interviews, and six were selected for a focus group. Results: Analysis of participant responses revealed three main themes: the perceived value of a degree, student preparedness for the NREMT exam and …

Bridging Data Gaps In Retinal Imaging: From Structural Domain Adaptation To Topology-Aware Synthesis, Gözde Merve Demirci

Dissertations, Theses, and Capstone Projects

Comprehensive visualization of the retina is essential for diagnosing and monitoring blinding diseases such as Diabetic Retinopathy and Retinopathy of Prematurity (ROP), where pathological changes often extend beyond a single field of view. Despite significant advances in automated retinal image analysis, clinical deployment remains limited by two fundamental data gaps: a structural learning gap, arising from scarce expert annotations and poor generalization across imaging domains, and a spatial coverage gap, caused by the difficulty of acquiring multi-view retinal images in fragile populations. Although these challenges are often addressed independently, this dissertation argues that they are tightly coupled: accurate, …

Constrained Multiview Contrastive Learning For Jointly Supervised Representation Learning, Siyuan Dai, Kai Ye, Kun Zhao, Yang Du, Haoteng Tang, Liang Zhan

Computer Science Faculty Publications

Purpose

Materials and Methods

Skin Carotenoid Scores Are A Valid Approximation Of Fruit And Vegetable Intake Among Adults With Obesity, Stephanie B Jilcott Pitts, Qiang Wu, Elizabeth Gates, Melissa N Laska, Andrew R Dinardo, Nancy E Moran

Children’s Nutrition Research Center Staff Publications

Skin carotenoid score (SCS) as measured using pressure-mediated reflection spectroscopy has been validated among adults with normal and overweight body mass index, with little validation research among adults with obesity. Therefore, the purpose of this exploratory study was to examine the validity of SCS as an approximation of fruit and vegetable intake among adults with obesity. We used samples from adults with obesity from three prior studies: The first study examined the validity of SCS among 213 adults, 34 with obesity; the second, examined sensitivity of SCS to a β-carotene-rich juice intervention among 162 adults, 14 with obesity; the third …

Pda (Privacy-Preserving Distributed Algorithms) In Action: Ten Principles For High-Quality Multi-Site Clinical Evidence Generation, Yong Chen, Chongliang Luo, Et Al.

2020-Current year OA Pubs

BACKGROUND: Distributed Research Networks (DRNs) offer significant opportunities for collaborative multi-site research and have significantly advanced healthcare research based on clinical observational data. However, generating high-quality real-world evidence using fit-for-use data from multi-site studies faces important challenges, including biases associated with various types of heterogeneity within and across sites and data sharing difficulties. Over the last 10 years, Privacy-Preserving Distributed Algorithms (PDA) have been developed and utilized in numerous national and international real-world studies spanning diverse domains, from comparative effectiveness research, target trial emulation, to healthcare delivery, policy evaluation, and system performance assessment. Despite these advances, there remains a lack …

The Mathematical Model Predicts Peripheral Blood Cd34+ Cell Yield And Blood Volume Processing For Peripheral Blood Stem Cell Apheresis., Rattaporn Vichitratchaneekorn, Kanokpol Siriphanthong, Kanokwan Chinbordee, Phandee Watanaboonyongcharoen, Ponlapat Ronjnuckarin

Chulalongkorn Medical Journal

Introduction: The accurate prediction of stem cell yields is important for planning peripheral blood stem cell (PBSC) collection. This study aimed to develop a formula forecasting required blood volume processing to ensure adequate CD34+ cell products.

Methods: Data from donors and patients who underwent PBSC apheresis conducted at a tertiary care hospital were reviewed. BD FACSCanto™ II and Navios EX flow cytometry machines were used to determine the pre-collection CD34+ cell counts (preCD34).

Results: Of 50 donors and 85 patients, 145 leukapheresis procedures were performed. Linear regression models accurately predicted absolute CD34+ cell yields from pre-apheresis values, supporting optimal procedural …

Validation Of A Home-Based Tool For Preschool Children Fall Prevention: A Rasch Analysis, Devie Fitri Octaviani, Fatma Lestari, Indang Trihandini, Dadan Erwandi

Kesmas

Unintentional falls are a leading cause of injury among preschool children, primarily occurring in home environments, yet validated tools to assess household fall prevention capacity in low- and middle-income countries remain limited. This study aimed to develop and psychometrically validate the Home-Based Preschool Fall Prevention Instrument using the Rasch Measurement Model. A cross-sectional validation study was conducted in Depok City, Indonesia, involving 167 primary caregivers of preschool children enrolled in kindergartens selected through multistage cluster random sampling. The instrument was developed based on an etiological injury model, socio-ecological perspectives, and risk management principles, and comprised four main factors: child, home, …

Provincial Disparities In Adolescent Fertility In Indonesia: An Ecological Analysis Of Child Marriage, Median Age At First Marriage, And Family Development Index, Andi Nisa Fathimiyah Afidah, Milla Herdayati

Kesmas

Adolescent fertility remains a public health concern in Indonesia, with substantial variations across provinces. However, the evidence explaining provincial disparities using population-level indicators remains limited. This study aimed to examine provincial disparities in adolescent fertility and assess the association of child marriage, median age at first marriage among women, and the Family Development Index called iBangga with adolescent fertility across Indonesia. This ecological, cross-sectional study used aggregated data from 34 Indonesian provinces. Descriptive statistics, spatial visualization, Pearson’s correlation, and multiple linear regression analyses were performed. The mean adolescent fertility rate was 25.0 births per 1,000 female adolescents aged 15–19 years, …

Spatial Association Of Acute Respiratory Infection, Diarrhea, And Low Birth Weight With Stunting Prevalence In Indonesia, 2024, Dian Rosadi, Husaini Husaini, Triawanti Triawanti, Musafaah Musafaah

Kesmas

Stunting remains unevenly distributed across Indonesia, but national evidence integrating spatial analysis and spatial regression is limited. This study examined the spatial distribution of stunting and its associations with acute respiratory infection (ARI), diarrhea, and low birth weight (LBW) across Indonesian provinces. An ecological cross-sectional study used data from the 2024 Indonesian Nutritional Status Survey. Stunting-only analyses included all 38 provinces, whereas analyses involving ARI, diarrhea, and LBW included 37 provinces with complete data. Spatial analyses used a row-standardized symmetric four-nearest-neighbor spatial weights matrix and included Global Moran’s I, bivariate spatial analysis, Local Indicators of Spatial Association, ordinary least squares, …

The Association Between Rapid Growth In Children Under The Age Of Five And Adolescent Obesity, Ratu Ayu Dewi Sartika, Fadila Wirawan, Iche Andriyani Liberty, Nurul Husna Mohd Shukri, Siti Arifah Pujonarti, Edy Purwanto, Munaya Fauziah

Kesmas

Early-life nutrition is a critical predictor of long-term health, yet the association between rapid early-childhood growth and adolescent obesity, particularly in relation to the “double burden of malnutrition,” remains under-researched in Indonesia. This study aimed to analyze the association between rapid growth and adolescent obesity. Data were obtained from the 1997, 2000, and 2014 waves of the Indonesian Family Life Survey (IFLS). This study included 641 children (aged 0–23 months at baseline) with complete anthropometric measurements across all three waves. Rapid growth was defined as an increase in z-scores of >0.67 in weight-for-age (WAZ), height-for-age (HAZ), or weight-for-height (WHZ) between …

Environmental Perspective For System Dynamics Modeling Of Stunting Mitigation To Achieve The Sustainable Development Goals In West Sumatra, Indonesia, Elsa Yuniarti, Nabila Azzahra, Yulhendri Yulhendri, Heldi Heldi, Mery Delvina, Saskia Putri Azeli

Kesmas

This study developed a system dynamics model to simulate stunting reduction in West Sumatra Province, Indonesia, by integrating infant and toddler health, maternal health, and environmental determinants. Secondary data from 2020–2024 on low birth weight, immunization, malnutrition, exclusive breastfeeding, maternal chronic energy deficiency, iron and folic acid supplement distribution, sanitation, and safe drinking water access were compiled from West Sumatra Provincial Health Office and Statistics Indonesia, and validated through consultation with five stakeholder institutions. Causal Loop Diagrams mapped feedback relationships among determinants and were translated into Stock Flow Diagrams using Powersim Studio 10. The model was validated through structural verification, …

The Phytochemical Content And Antibacterial Activity Of Purified Extract Of Mangifera Indica L. Against Gram Positive Pathogen, Dewi Andini Kunti Mulangsri, Masduki Faqih, Sugar Arifin, Mutiara Trie Sieya Agustin

Pharmacology and Clinical Pharmacy Research

The purified extract of arum manis mango leaves contained flavonoid compounds by TLC methods and antibacterial activity against Gram-positive and negative pathogens. This research aimed to identify and determine the phytochemical content (mangiferin and flavonoids content) and antibacterial activity against other Gram-positive pathogens. Purification of ethanol extract of arum manis mango leaves by liquid-liquid fraction method. Determination of total flavonoid content and identification of mangiferin used respectively by aluminum chloride and Thin Layer Chromatography method. The disk diffusion method was used to assay antibacterial activity against S. epidermidis, and B. subtilis bacteria with the concentration of the sample such …

Development Of Ultrafast Protein Digestion And Standards Free Quantitation Methods For Mass Spectrometric Analysis, Praneeth Ivan Joel Fnu

Dissertations

A wide variety of biologically important molecules, such as enzymes, antibodies, hormones, transporters and receptors are proteins by composition and they play key roles in biological functions such as cellular regulation, communication, metabolism and physiological function. Protein dysfunctions and abnormalities are associated with numerous diseases, making proteins critical targets for understanding disease mechanisms and developing therapeutic interventions. Protein-based therapeutics such as monoclonal antibodies, hormones and vaccines gained popularity due to their high specificity, efficacy, and ability to treat complex diseases that are often difficult to address with small-molecule drugs.

Given the important role of proteins in a variety of biological …

Transmutation Of Psychological Phenomena (Academic Burnout And Fomo) Into Cyanotype Art Creation, Zulfan Ali Mujtaba, Adi Kuntoro

Paradigma: Jurnal Kajian Budaya

The pressure of hustle culture and the Fear of Missing Out (FOMO) in the digital era have triggered an escalation of academic burnout among students, demanding alternative psychological recovery interventions beyond verbal clinical approaches. This research aims to explore the creation of alternative Cyanotype photography as a medium for catharsis and resistance against toxic productivity. Utilizing a Practice-Based Research methodology with an autoethnographic approach, data were extracted from the researcher's subjective experiences and transmuted into a visual artifact titled "Metamorfosis yang Lelah". The cultural studies approach and wabi-sabi aesthetics are specifically applied to analyze visual elements in the Prussian Blue …

Journal Ida 2022 101 3

Journal IDA

The Journal IDA is a peer-reviewed, scientific periodical owned and published by the Indiana Dental Association, a constituent of the American Dental Association.

Journal IDA concentrates on the clinical aspects of dentistry, including case studies and research; practice management and business aspects of dentistry, from start up to transition; and also includes special and regular feature articles.

Gaining From Captured Indian Traditional Knowledge Systems: Paths Taken And Way Forward, Ramasami T

International Journal of Traditional Knowledge

India’s scientific heritage is deeply reflected in Ayurveda, a tradition of integrative medicine documented for over two millennia. P.C. Ray, the father of modern chemistry in India, highlighted the depth of ancient chemical knowledge and early use of mercury compounds, while M.S. Valiathan later revived and analyzed the classical texts of Charaka, Sushruta, and Vagbhata to bridge Ayurveda with modern science. Building on this foundation, the Government of India launched initiatives linking Ayurveda with genomics, personalized medicine, and rasayana therapies, yielding promising insights such as the genetic basis of prakriti classifications and protective effects of Amalaki Rasayana. Efforts like the …

Artificial Intelligence And Social Equities: Navigating The Intersectionalities In A Digital Age (Editorial), Daisuke Akiba, Julie Albright

Publications and Research

This editorial article introduces and synthesizes the Special Issue, “Artificial intelligence and social equities: navigating the intersectionalities in a digital age,” which examines how AI systems intersect with race, ethnicity, and interconnected identity dimensions across global contexts. The eight contributions span healthcare, digital media, higher education, organizational communication, and speculative futures, addressing anti-racist psychiatric algorithms, AI-generated visual disinformation, epistemic injustice between the Global North and South, algorithmically mediated rural–urban divides, culturally untranslated technology transfer, accessibility auditing across the AI lifecycle, and the tension between mechanical objectivity and empathic understanding. Read together, they show that AI is neither inherently …

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, …

Identification, Validation, And Prediction Of Longitudinal Recovery Phenotypes In Degenerative Cervical Myelopathy: Analysis Of Prospective Cohorts And A Randomised Controlled Trial, Karlo Pedro, Mohammed Ali Alvi, Christopher Lozano, Vishwathsen Karthikeyan, Alex Bak, Benjamin Davies, James Harrop, Jetan Badhiwala, Jefferson Wilson, Wendy Lou, Zihang Lu, Kevin Thorpe, Michael Fehlings

Department of Neurosurgery Faculty Papers

BACKGROUND: Symptom evolution in degenerative cervical myelopathy (DCM) is traditionally characterized by severity of neurological deficit. A recent expert consensus challenged this view, proposing that DCM fluctuates across neurological, functional and health-related quality of life measures. We examined whether joint changes across these three domains define distinct recovery patterns in a clinic-based cohort of adult patients with DCM.

METHODS: Cohorts analysed were the Cervical Spondylotic Myelopathy-North America (CSM-NA, 2005-2007, N = 278), CSM-International (CSM-I, 2007-2011, N = 479) and the CSM-PROTECT Trial (2012-2017, N = 290). All participants were symptomatic adult DCM patients who underwent surgical treatment and completed at …

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 …

An Investigation Of Pelvic Kinematics And Implications For Total Hip Arthroplasty, Kathryn Holland Colone

Electronic Theses and Dissertations

Total hip arthroplasty (THA) is one of the most commonly performed orthopaedic procedures, with approximately 500,000 surgeries performed annually in the United States alone. Although THA is widely regarded as highly successful, postoperative complications persist, highlighting the multifactorial nature of THA outcomes. Previous studies have demonstrated the importance of implant positioning and soft tissue mechanics, yet challenges remain in optimizing surgical decisions on a patient-specific basis. Recent advances in surgical planning tools have shifted the focus of preoperative planning toward optimizing patient-specific outcomes, highlighting the need to better understand how patient anatomy, surgical technique, and joint mechanics interact to influence …

Exploring Red Palm Oil As A Sustainable Plasticizer For Carbon Black-Filled Ssbr/Br Tire Tread Compounds: A Comparative Evaluation Of Commercial Alternatives, Norma Arisanti Kinasih, Mohamad Irfan Fathurrohman, Santi Puspitasari, Dewi Kusuma Arti, Abdulhakim Masa

Journal of Materials Exploration and Findings

This study investigates the application of red palm oil (RPO) as an alternative vegetable oil resource to substitute petroleum-based plasticizers, which have environmental and health concerns, in carbon black (CB)-filled SSBR/BR tire tread compounds. The plasticizing effects of RPO were thoroughly evaluated by comparing them with a commercial bio-based plasticizer, Epoxidized Soybean Oil (ESBO), and two safer petroleum-based oils, Naphthenic Oil (NYNAS) and Treated Distillate Aromatic Extract (TDAE). The initial investigation shows that fatty acid composition is imposing regarding the plasticizing effect. The higher unsaturated fatty acid content in RPO than in ESBO improved tensile strength and degraded rolling resistance …

Metallurgical Investigation Of A Modified Eye Bolt Failure Caused By Improper Weld Extension, Specification Deviation, And Crevice Corrosion, Dimas Muhammad Fawwaz, Reza Miftahul Ulum, Johny Wahyuadi Soedarsono, Yudha Pratesa

Journal of Materials Exploration and Findings

A modified eye bolt from the David Arm Manhole Storage Tank underwent thorough metallurgical study due to the consequences of the bolt's malfunction during operation. Safety issues arose when the manhole door detached during operation. The mechanical testing and chemical composition analysis of the bolts indicated they were manufactured from an ASTM A193 Grade B7 material used for high-temperature bolting. This material did not conform to the engineering drawing, which mentioned SA 563A, which is about nuts, not bolts. This contradiction clearly shows that the eye bolt which was installed does not conform to the intended design. Welded connections of …