Engineering Commons^™

An Interval-Valued Spherical Fuzzy Critic–Waspas Framework For Prioritizing Healthcare Delivery Models To Enhance Patient Satisfaction Under Uncertainty, Mariam Hamada, Ahmed Samy, Mohamed M. Abdelhafeez, Shrouk El-Amir

Neutrosophic Systems with Applications

Selecting an appropriate healthcare delivery model is important for improving the quality of healthcare services and enhancing patient satisfaction. However, this decision is complex because it involves several criteria, uncertainty, and different expert opinions. To handle this uncertainty, this paper uses Interval-Valued Spherical Fuzzy Sets (IVSFSs), which allow experts to express their evaluations more flexibly. This paper proposes an integrated interval-valued spherical fuzzy CRITIC-WASPAS approach to prioritize healthcare delivery models. The CRITIC method is used to determine the objective weights of the evaluation criteria, while the WASPAS method is used to rank the healthcare delivery models. Expert evaluations are expressed …

A Neutrosophic Event-Graph Legal Ai System For Detecting Contradictions In Witness Testimonies Under Egyptian Law, Shimaa Abdelghany Attalla, Alaa Elmor, Nada Hesham, Abduallah Gamal

Neutrosophic Systems with Applications

Witness testimony is an important source of evidence in criminal proceedings, but it may contain contradictions, incomplete details, or conflicts with other case-file materials. This paper proposes a neutrosophic event-graph legal AI framework for detecting materially contested claims in witness testimonies under the Egyptian criminal-procedure context. The framework converts testimony and related records into structured claims containing actor, action, object, time, location, source, and modality. These claims are then connected through an event graph and evaluated using neutrosophic components of support, indeterminacy, and opposition. The system produces source-grounded legal-review alerts when a claim has sufficient opposition from other claims or …

A Unified Framework For Neutrosophic Estimation Using Fractional Power, Exponential, And Logarithmic Functions With Bivariate Auxiliary Information, Anchal Yadav, Anuj Yadav

Neutrosophic Systems with Applications

This study develops a generalized neutrosophic ratio-type estimator for estimating the population mean by incorporating information from two auxiliary variables under Simple Random Sampling Without Replacement (SRSWOR). The proposed methodology extends the conventional single-auxiliary-variable approach by jointly incorporating bivariate auxiliary information within the neutrosophic framework, thereby accounting for uncertainty, indeterminacy, and inconsistency in the available information. The bias and mean squared error of the proposed estimator are derived using first-order approximations, and the corresponding efficiency conditions are established through theoretical comparisons with existing neutrosophic estimators. The performance of the proposed estimator is further examined using a real medical dataset represented …

20 Years Of Neutrosophic Statistics: A Bibliometric Analysis, Hammad Khalid, Arshad Hameed

Neutrosophic Systems with Applications

Florentin Smarandache introduced neutrosophic statistics (NS), a formalism for representing uncertainty and indeterminacy in observations, parameters and statistics in an extension to classical and interval statistics. Although widespread in various contexts, such as statistical quality control, hypothesis testing, medical diagnosis, and decision science, and increasingly used and developed, the scientific evolution and conceptual framework of the science of decision making remain largely unexamined. To fill this gap, the present study has been conducted with a comprehensive bibliometric analysis of NS research articles published between 2003 to 2025 from Scopus which has been conducted following the SPAR-4-SLR protocol. In all, 501 …

In Silico Analysis Of Momordica Charantia Triterpenoids As Adenosine Monophosphate-Activated Protein Kinase Ligands For Type 2 Diabetes Mellitus Therapy, Anita Dwi Puspitasari

Chimica et Natura Acta

Type 2 diabetes mellitus continues to rise and calls for safe therapeutic leads. This study assessed the potential of triterpenoids from bitter melon (Momordica charantia) as AMP-activated protein kinase (AMPK) ligands at the ATP-binding site through an in silico approach. AMPK (PDB ID: 4QFG) was prepared in YASARA; nine M. charantia triterpenoids and metformin were docked in PLANTS. Redocking of staurosporine validated the protocol (RMSD 0.2376 Å; ≤2.0 Å). Kuguacin J (-89.9934), Karavilagenin B ( 86.4084), and Kuguacin R (-85.8514) yielded lower (more favorable) docking scores than metformin (-56.5325) and interacted with hinge residues (Val96 and Glu94/Glu100). As expected, the …

Monitoring System In The Georeactor Area During The Underground Coal Gasification Process, Aleksandra Tokarz, Jacek Grabowski, Krzysztof Korczak

Journal of Sustainable Mining

Safety control of the underground coal gasification (UCG) process involves ensuring that the process runs smoothly, monitoring changes occurring on the surface and in the rock mass, and counteracting the negative environmental impact of the process. The article presents the application of a monitoring system implemented in Poland, both in pilot tests conducted in shallow coal seams at the Barbara Experimental Mine and in deep coal seams at the Wieczorek mine, where a full-scale gasification process was tested. The analysis of the monitoring results carried out during the gasification experiment in an operating mine allowed for the identification of key …

From Himalayan Catastrophe To National Resilience: Lessons From The 2026 Bhote Koshi And Trishuli River Floods In Nepal, Keshav Bhattarai, Ambika P. Adhikari

Himalayan Research Papers Archive

On the morning of 26 August 2026, the mountains above Nepal’s northern frontier delivered a disaster of almost unimaginable speed and scale. A massive mass of ice, rock, and sediment detached in the high Himalayan terrain near the Nepal–Tibet border, descended roughly 1,200 metres, interacted with the Lhende Khola system, and generated a debris-rich flood that surged through the Bhote Koshi and Trishuli river corridors, destroying settlements, markets, roads, bridges, hydropower facilities, and an international border crossing and transforming them into fields of mud, boulders, and wreckage within minutes (ICIMOD, 2026b; Reuters, 2026a). Satellite analysis indicates that a substantial section …

From Retrieval To Generation: Building And Evaluating An Ai Accompanist For Piano Duets With An Anticipatory Music Transformer, Sai Ruthvik Uppala

Masters Theses

Systems that accompany a live musician, such as ACCompanion, work by retrieval: they hold a written accompaniment and stretch its timing to follow the soloist, so they can only accompany music whose second part already exists as a score. This thesis asks whether that second part can instead be generated, and specifically whether a machine learning model can write an accompaniment for a piece whose score it has never seen. A player performs the primo, the melody; a model produces the secondo, the accompaniment; and a score follower places the generated notes against the live performance. If this works, a …

Studying Electromagnetic Wave Scattering From Small Dielectric Particles Using Neural Networks, Bryan Taylan, Patrick Corzo, Chris Velissaris, Theodoros Panagiotakopoulos

Undergraduate Scholarship and Creative Works

Physics-informed neural networks solve the Helmholtz equation without labeled data, but a low residual alone does not confirm that a solution preserves the physical distinction a downstream task depends on. We trained a four-layer SIREN with physics-based residuals, a Sommerfeld condition, Adam, and L-BFGS, modeling a Gaussian source and a plane wave scattering from a small dielectric inclusion. Fine-tuning from four base models produced 600 complex fields spanning omega = 4 to 20. A compact CNN, three ResNet-18 variants, and a frozen OpenCLIP encoder classified these fields under five random seeds. The CNN achieved (95.65 +/- 0.77)% accuracy, outperforming OpenCLIP …

Phosphate Removal By Spent Low Temperature Shift Catalyst Through Process Optimization And Mechanistic Study, Fatma A. Hashem Eng., Abeer M. Shoaib Prof., Walaa Omar Dr., Mai H. Roushdy

Chemical Engineering

Natural water bodies become eutrophic due to phosphate pollution from industrial and agricultural sectors. This research addresses waste disposal and water pollution at the same time by recycling spent low-temperature shift catalyst (LTSSC) from the fertilizer industry as a sustainable phosphate adsorbent. High surface area (247±5 m2/g), mesoporous structure, and many metal oxide sites (CuO 49%, ZnO 32.2%, and Al2O₃ 13.9%) were shown by characterization using XRF, XRD, BET, SEM–EDX, FTIR, particle size analysis, and zeta potential. Under optimum conditions (contact time 1.64 h, dose 5 g/L, initial concentration 9.58 mg/L, stirring 278 rpm), Response Surface Methodology optimization achieved 92.95±2.8% …

Harmonicthreads: A Formative Evaluation Of A Fabric-Based Digital Musical Instrument Toward Inclusive Music-Making, Ellie Nguyen, Franceli L. Cibrian

Engineering Faculty Articles and Research

Background:

Inclusive music-making requires instruments that support varied bodies, abilities, musical backgrounds, and forms of participation. Digital musical instruments provide diverse approaches to sound creation, and fabric-based interfaces offer an alternative interaction modality that may support participation for some users and contexts. Their tactile and deformable properties enable forms of interaction that differ from conventional rigid or screen-based controllers and may offer inclusive possibilities in particular settings.

Objective:

This paper presents HarmonicThreads as a formative interaction-design case of a fabric-based digital musical instrument. The prototype explores how tactile cues, fabric deformation, projected visual feedback, and assisted accompaniment can support low-barrier …

Artificial Intelligence In Food Engineering For Food Safety, Quality Assurance, And Human Health, Ayad Abbood Abdulhasan, A. M. Mustafa, F. F. Sayyid, Marwan B. Hussein, Mohanad Muzahem Khalaf

AUIQ Technical Engineering Science

Artificial intelligence (AI) is increasingly reshaping food engineering by providing data-driven tools for safeguarding food safety, ensuring quality assurance, and improving human health outcomes. This review synthesizes current evidence on the application of machine learning, deep learning, computer vision, and the Internet of Things (IoT) across the food production continuum, from raw material inspection to consumer-facing nutrition guidance. We examine how convolutional neural networks, hyperspectral imaging, and sensor-fusion approaches enable rapid, non-destructive detection of contaminants and pathogens, and how predictive models support shelf-life estimation and quality grading. We further discuss AI-enabled traceability systems, including blockchain-integrated supply chains, and the growing …

Edge Computing-Enabled Secure Federated Learning For Anomaly Detection In Industrial Iot Sensor Streams, Wijdan Noaman Marzoog Al Mukhtar

AUIQ Technical Engineering Science

The rise of the Industrial IoT (IIoT) will result in a surge of IIoT devices with high-velocity data streams requiring rapid, real-time analysis of these data streams to power predictive maintenance and assure cybersecurity. Centralized cloud-based approaches to anomaly detection are hindered by their inherent latency and privacy issues while independent or stand-alone approaches to edge-based anomaly detection do not have enough data to effectively detect anomalies. This paper presents a federated learning framework to collaboratively develop an anomaly detection model from multiple edge nodes, without sharing the raw sensor data, so that data sovereignty is preserved. Two major contributions …

Microwave Thermal Pre-Treatment To Improve Nickel Extraction From Lateritic Ore, Johana Borda, Daniel Sosa, Robinson Torres

Journal of Sustainable Mining

Two heat treatment processes for a nickeliferous laterite sample are presented, one by the conventional muffle route and the other by microwave. The heating was carried out in order to improve the dissolution of nickel in an acid medium. The study describes the changes observed in the mineral for the increase in temperature as a consequence of radiation in the microwave and in the muffle. The changes in the mineral crystalline phases were analyzed by X-ray diffraction. The leaching media consisted of a 1 M sulfuric acid solution at ambient conditions for 7 h. The interaction between the reagent and …

Hydration-Tunable Ionic Liquid-In-Oil Microemulsions For Increased Transdermal Delivery Of High-Molecular-Weight Proteins, Roy Jabidash, Kiyohiro Toyofuku, Rie Wakabayashi, Yoshirou Kawaguchi, Noriho Jeffrey Kamiya, Muhammad Moniruzzaman, Masahiro Goto

Publications and Research

Transdermal delivery of high-molecular-weight proteins is challenging because of their large molecular size and hydrophilicity, and the barrier properties of the stratum corneum. We report a hydrated ionic liquid-in-oil (HIL/O) microemulsion for transdermal delivery of high-molecular-weight proteins. A biocompatible ionic liquid (IL) composed of cholinium cation and propionate anion, optimized at 45 wt% hydration, was developed as a protein-compatible solubilization medium that dissolved ovalbumin (molecular mass ∼ 45 kDa) and bovine serum albumin (molecular mass ∼ 66 kDa), whereas lower hydration levels were insufficient for effective protein dissolution. Following solubilization, circular dichroism spectroscopy showed recovery of the native-like secondary structures …

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 …

Notes For The Contributors, Space & Defense

Space and Defense

No abstract provided.

The Global Chessboard: Strategic Deterrence In A New Era Of Great Power Competition, The 66th Annual Academy Assembly

Space and Defense

The 66th annual Academy Assembly brought together twenty-seven student delegates from civilian institutions and sister military service academies to discuss urgent issues in national affairs. This national student congress was held during March 3-5, 2026 and produced the following committee reports.

Critical Strategic Deterrence Questions For Today, Keith B. Payne

Space and Defense

r. Payne visited the U.S. Air Force Academy to offer keynote remarks at a national student congress, the 66th Academy Assembly, held during March 3-5,2026 and dedicated to the topic of the Global Chessboard: Strategic Deterrence in a New Era of Great Power Competition. Dr. Payne is co-founder of the National Institute for Public Policy, former Department Head at the Graduate School of Defense and Strategic Studies, Missouri State University, a former Deputy Assistant Secretary of Defense, and former Senior Advisor to the Office of the Secretary of Defense. He has authored or co-authored over 230 published articles and 50 …

Death Of Battlefield Hide-And-Seek, Lily Cheatham

Space and Defense

For the past twenty years, the stealth regime defined military thinking, prioritizing technologies and tactics designed to evade enemy defense systems. Ensuring radar invisibility and maintaining information dominance have been the keys to survival and strategic advantage. On June 21-22, 2025, the United States conducted "Operation Midnight Hammer" against Iranian nuclear facilities at Fordow, Natanz, and Isfahan. The principal strike package included seven B-2 Spirit stealth bombers, whose crews flew approximately 18 hours to reach the target area and roughly 36 hours and 13,000 miles round trip. The B-2s dropped 14 GBU-57 Massive Ordnance Penetrators on Fordow and Natanz, marking …