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Challenges, Trends, And The Role Of Lstm In Ai-Based Predictive Maintenance Of Electrolyzers For Solar Hydrogen Systems: A Review, Yani Koerniawan Kuatno, Muhamad Zahim Sujod

Turkish Journal of Electrical Engineering and Computer Sciences

The transition toward low-carbon energy systems has increased interest in hydrogen as a clean energy carrier, with solar-driven water electrolysis emerging as a promising technology due to its high efficiency and compatibility with renewable energy sources. However, dynamic operating conditions and intermittent renewable input accelerate electrolyzer degradation, reducing reliability and system lifespan. Predictive maintenance (PdM), supported by artificial intelligence (AI), offers a data-driven approach to anticipate failures and improve operational durability. This review systematically investigates AI-based PdM approaches for electrolyzers, with an emphasis on long short-term memory (LSTM) networks and Internet of things (IoT) integration. Following PRISMA 2020 guidelines, 35 …

Common Ground Newsletter Fall 2026, Missouri University Of Science And Technology

Common Ground

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Degree Assortativity And Estimation Of Degree Distribution In A Contact Network Of People Who Inject Drugs, Peter Geissert

Dissertations and Theses

This dissertation analyzes data from a respondent driven sampling (RDS) study of people who inject drugs in Portland, OR.  The objective was to assess assumptions for the use of weighted estimators to estimate a population physical contact (syringe sharing) network degree distribution.

Visualization of degree distribution for social and physical networks, Kolmogorov-Smirnov tests of difference, and kernel tests of equivalence were used for comparison of distributions. Spearman's rho and GAM non-parametric regression models were used to test for association and assess non-monotonic relationship. The validity of Markov chain assumptions for RDS was assessed using a transition matrix, Markov chain graphs, …

Measurement-Aware Zero-Phase Iterative Learning Control For Robust Regulation Of Nonideal Boost Converters In Electric Vehicle Fast Charging, Aytaç Altan, Mohammed S. Alzaidi, Cağfer Yanarateş

Turkish Journal of Electrical Engineering and Computer Sciences

Integrating battery energy storage with DC-DC boost converters for electric vehicle fast charging exposes the regulator to ageing-induced parameter drift, periodic load pulses, and, critically, the nonidealities in the output-voltage sensing chain. This paper proposes a measurement-aware, zero-phase iterative learning control scheme for robust output-voltage regulation of a nonideal boost converter whose parameters are matched to those of a commercial Texas Instruments TPS6102x battery regulator. The controller combines an inner proportional-integral stabilizing loop with an outer zero-phase learning law that updates a feedforward correction based on the sensor-captured output trajectory; a forward-backward robustness filter suppresses the amplification of measurement noise …

Can Artificial Seagrass Meadows Reduce Pathogenic Bacteria In Coral Reef Ecosystems- A Mesocosm Study, Hewa Pathirannahelage Athri Thathsarani Weerakoon, Jimmy Kuo, Pi-Jen Liu, Kwee Siong Tew

Journal of Marine Science and Technology–Taiwan

Seagrass meadows provide essential coastal ecosystem functions by stabilizing sediments, enhancing water quality, and shaping nutrient and microbial dynamics. With global seagrass losses accelerating due to climate change and anthropogenic pressures, artificial seagrass (ASG) has been proposed as a nature-based alternative to mimic these functions. However, its ability to replicate biological interactions, particularly microbial regulation and pathogen suppression, remains unclear. In this study, we conducted a six-week mesocosm experiment comparing natural Thalassia hemprichii and ASG within coral reef-associated habitats in southern Taiwan. Physicochemical parameters, sedimentation rates, nutrient concentrations, and planktonic and benthic bacterial communities were analyzed. Sedimentation rates and nutrient …

Identifying The Causality And Criticality Of Factors Influencing The Promotion Of Asian Island-Hopping Cruise Tourism In Taiwan, Hsiao-Chuan Liu, Gin-Shuh Liang, Feng-Ming Tsai, Yu-Ling Lien

Journal of Marine Science and Technology–Taiwan

Following the COVID-19 pandemic, the global tourism industry has steadily recovered since 2022. Island-hopping cruises have gained increasing attention for enhancing regional connectivity and diversifying marine travel experiences; however, their development in Asia remains limited compared with that in Europe and the Caribbean due to fragmented policy coordination, inadequate port infrastructure, and uneven technological readiness. Although Taiwan possesses a geographic advantage and can serve as a strategic hub linking Asian island destinations, systematic planning and stakeholder coordination remain insufficient, resulting in unclear mechanisms that drive or constrain island-hopping cruise tourism. Existing studies mainly focus on market demand or passenger behavior, …

A Resilience Early Warning Assessment Of The Maritime Supply Chain: A Case Study Of China’S New Energy Vehicle Exports, Xiuqian Chen, Liangyong Chu, Mengyao Wang, Jiayin Du, Yiming Zhang, Xiyao Xu

Journal of Marine Science and Technology–Taiwan

Enhancing resilience through early warning is a critical strategy for mitigating disruption risks in the maritime supply chain (MSC). This study proposes a novel early warning assessment framework to determine the resilience of the MSC. It is referred to as a resilience early warning system. An evaluation index system for shipping enterprises is developed based on four dimensions: withstand capacity, adaptive capacity, learning capability, and the external environment. A resilience assessment model that uses the Bayesian best-worst method (BBWM) and the extension cloud model (ECM) is established to quantify MSC resilience. An early warning evaluation model based on a Bayesian …

Public-Port Throughput As An Activity Proxy For Near-Port Air Quality And Health: A Transferable Two-Scale Framework (Kaohsiung, 2017–2024), Ping-Jen Wang, Ying-Lin Hsu, Shih-Hao Chang, Bao-Tzung Wu

Journal of Marine Science and Technology–Taiwan

We developed a two-scale time series framework using monthly container throughput (20-foot equivalent units, TEU) as a port activity indicator. Applied to Kaohsiung, Taiwan (2017–2024), we related TEU to near-port NO₂ and PM₂.₅ (monthly) and air quality to outpatient respiratory diagnoses (weekly) across the 2019–2020 sulfur rules and the COVID-19 pandemic. Transfer-function models indicate TEU tends to lead near-port NO₂ by 6–9 months. Structural break tests at policy dates indicate nonsignificant changes in levels and slopes, suggesting gradual rather than abrupt shifts in the activity–pollution linkage. Weekly two-pollutant distributed-lag Poisson models estimated relative risks (lags 0–8) per interquartile range (IQR) …

Recent Advances In Bioethanol Production From Water Hyacinth: A Critical Review, Umuamina A. Matola, Mahir Mohammed Said, Olga-Ioanna Kalantzi, Abraham K. Temu

Tanzania Journal of Engineering and Technology (TJET)

Water hyacinth (WH) is a highly invasive tropical aquatic weed with high holocellulose and low lignin content, making it a promising lignocellulosic feedstock for second-generation bioethanol production. Producing bioethanol from WH offers a sustainable approach to simultaneously managing invasive biomass and producing renewable energy. This review critically evaluates recent advancements in bioethanol production from WH by examining pretreatment, hydrolysis, and fermentation technologies reported between 2014 and 2024. A PRISMA-guided literature search was conducted using the Scopus and Web of Science databases, and fifty-nine original research articles were selected for analysis. The reviewed studies were comparatively assessed based on pretreatment strategies, …

Exploring Consultancy-Related Variations In Public Building Projects: A Review Towards A Management Framework, Grayson Bambaza, Ismail W. R. Taifa, George S, Mwaluko

Tanzania Journal of Engineering and Technology (TJET)

Consultancy-related variations remain one of the leading causes of cost overruns, schedule delays, quality deficiencies, and contractual disputes in public building projects. Although various studies have been undertaken to document the causes of variations in construction works, the same level of interest has not been shown for consulting services variations across the consulting services spectrum and their consequences for effective management. This study explores variations in consulting services for public works by systematically reviewing the existing literature using the PRISMA (Preferred Reporting Items for Systematic reviews and Meta Analyses) guidelines. Relevant articles published from 2020 to 2026 were retrieved from …

Decision Support Tool For The Maintenance Of Meter Gauge Railway Permanent-Way Infrastructures: A Concept Paper, Hamisi J. Maulid, Beatus A.T Kundi, Juma M. Matindana, Ismail W. R. Taifa Dr

Tanzania Journal of Engineering and Technology (TJET)

A Decision Support Tool (DST) represents a transformative way of modernising maintenance practice on the permanent-way infrastructure of Meter Gauge Railway (MGR). Maintenance practice remains largely reactive, as the MGR plays a strategic role in transporting both freight and passengers, resulting in inefficient resource allocation, high operational risk, and growing Lifecycle expenses. This concept paper explores the potential and the design challenges for a DST that combines fuzzy analytic hierarchy process (Fuzzy-AHP) modelling, multi-criteria decision analysis (MCDA), Geographic Information Systems (GIS) and predictive machine learning (ML) analytics for evidence-based, future-oriented maintenance management. The paper draws on peer-reviewed studies from …

Project-Based Conversion Versus Prototype-Based Instruction In Automotive Teacher Education, Ramdhani Ramdhani, Sriyono Sriyono, Wahid Munawar, Raafi Rizki Maulana, Apriyansah Bahrudin

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

The transition to electric and hydrogen mobility is reshaping the competencies that automotive vocational teaching requires, yet institutions with limited equipment must choose between authentic learning designs without evidence of what each produces. Indonesian research to date has built substitute learning media and reported feasibility ratings rather than measured learning. This study asks what cognitive and psychomotor gains two contrasting designs produce and how those gains compare. Two pre-experimental studies were conducted in one automotive teacher education programme in Indonesia. Study A used a time-series design across three project cycles of 200 minutes in which 15 undergraduates converted a combustion …

Saas As The Backbone Of Digital Transformation: How Ai Turned Cloud Software Into Intelligent Enterprise Infrastructure, Amar Fejzić

Communications of the IIMA

Software-as-a-Service (SaaS) has become one of the most consequential infrastructures of digital transformation because it lowers the cost, time, and complexity of adopting enterprise capabilities. At the same time, artificial intelligence (AI), especially generative and conversational AI, is changing SaaS from a delivery model into an intelligent operating layer that automates workflows, personalizes customer interactions, and supports data-driven decisions. This paper develops a conceptual synthesis of academic literature and public organizational cases to examine how SaaS shaped digital transformation and how AI is reshaping SaaS itself. The analysis shows that SaaS enables scalable experimentation, faster deployment, and modular integration, while …

Understanding Mental Wellness In Collegiate Pilots: The Interplay Of Fatigue, Sleep, And Health-Promoting Behaviors, Flavio Antonio Coimbra Mendonca, Samantha Bowyer, Carolina Anderson, Bill Deng Pan

Journal of Aviation Technology and Engineering

This study investigates patterns of fatigue severity, sleep hygiene, daytime sleepiness, and health-promoting lifestyle behaviors and examine the interrelationships among these factors in collegiate aviation students. Participants included undergraduate professional pilot students enrolled in a Code of Federal Regulations Part 141 four-year aviation degree program in the southeastern United States (N = 82).

Participants completed four validated self-report instruments: the Fatigue Severity Scale, the Sleep Hygiene Index, the Epworth Sleepiness Scale, and the Health-Promoting Lifestyle Profile II. Descriptive analyses were conducted to characterize the results of each assessment, and Pearson correlations and multiple regression analyses were performed to examine intervariable …

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 …

From Disaster To Resilience: Developing Smart Settlements In The Himalayas, Keshav Bhattarai, Ambika P. Adhikari

Himalayan Research Papers Archive

Nepal’s catastrophic 26 August 2026 Bhote Koshi–Trishuli flood should be understood not only as a humanitarian tragedy but also as a potentially major turning point in updating national settlement and reconstruction policy. Engineers and scientists have described the floods as a glacier–bedrock collapse that triggered an ice-rock avalanche and debris flow. As per the live updates on September 7, 2026, the total death toll was 1,355, and 4,996 people were missing (The Hindu, 2026). Indian and Nepali rescuers worked urgently to locate and rescue people buried under hydropower tunnels, buildings, mud, and landslide debris.

UN News reported on September 3, …

The Evolution Of Reliability Methods For Nondestructive Evaluation (Nde): From Probability Of Detection (Pod) Conception To Contemporary Practices, Christine E. Knott, Jennifer Brown, John Aldrin, Christine M. Schubert Kabban

Faculty Publications

Nondestructive evaluation (NDE) methods are powerful tools for detecting and characterizing flaws in structural components, but their reliability must be evaluated before they can be used in critical applications. For more than 50 years, probabilistic and statistical methods have been used effectively to estimate reliability by describing an NDE system’s Probability of Detection (POD) for flaws of realistic sizes. The POD methods used by the USAF and NASA, like Hit/Miss, Signal-Response (â vs. a), and Point Estimate method (PEM, a.k.a. 29/29) have evolved, alongside newer approaches like Limited Sample POD (LS-POD) method, and Model Assisted Probability of Detection …

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 …

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 …

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 …

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% …

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 …

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 …

Planetary Defense As The Ethico-Legal Gateway For International Space Security, Evie Kendal

Space and Defense

Following the news in late 2024 that there was a city-killer asteroid on a possible collision course with Earth, many members of the public were shocked to learn there was no reliable global plan for managing such asteroidal and cometary impact hazards. While calculations of Asteroid 2024 YR4’s trajectory were further refined to exclude the previously reported 2-3% chance of collision in 2032, this event highlighted a major security threat: the lack of a globally coordinated, appropriately resourced, and politically supported planetary defense strategy (Gibney, 2025). In so doing, it also provided an opportunity for security experts to consider the …

Key Strategies Enabling The Contribution Of Social Infrastructure In Climate-Proofing Cities: An Explorative Case Study Of Rotterdam, The Netherlands, Sara Elgamal, Alaa El.Eashy, Sherif Sheta

HBRC Journal

Social infrastructure, as the physical medium for social life in cities, is increasingly being acknowledged for its ability to offer climate-proofing benefits both in times of climate stability and climate disturbances. However, more evidence is needed on how social infrastructure can be deliberately shaped to contribute to climate-proofing cities. Our study addresses this gap through exploring the key strategies which ensure the effective engagement of social infrastructure (SI) in climate proofing cities (CPC). An explorative case study of Rotterdam city is performed, as the city is well recognized as a pioneer in climate resilience through spatial planning. Data sources for …

Research Priorities For Robust Climate Assessments In The United States, Melissa A. Kenney, Robert E. Kopp, Constantine Samaras, Marina Alberti, Sonia Y. Angell, Jennifer Burney, Colin Cunliff, Elliott T. Gall, J. T. Duffy-Anderson, Multiple Additional Authors

Mechanical and Materials Engineering Faculty Publications and Presentations

Scientific assessments play a critical role in synthesizing evidence to support evidence-based decision-making in many sectors and topics. For climate change, large-scale assessments like the Intergovernmental Panel on Climate Change (IPCC) and the United States (U.S.) National Climate Assessment (NCA) reports help many different users—from national government to local governments, Indigenous Peoples and communities, the private sector, the social sector, and the scientific community itself—navigate the complex field of climate risks, impacts, and integrated solutions. While co-creation with users is essential to developing actionable assessments, this paper lays the groundwork for future processes by identifying many advancing and emerging areas …

Individualized Bayesian Inference Identifies Novel Genetic Variants For Parkinson's Disease, Jin Ren, Yasaman J. Soofi, Md Asad Rahman, Qing Lu, Jinling Liu

Engineering Management and Systems Engineering Faculty Research & Creative Works

Parkinson's disease (PD) is a complex neurodegenerative disorder with a significant genetic component. While genome-wide association studies (GWAS) have been instrumental in identifying genetic variants associated with PD, the reliance on large sample sizes and population-level analyses may overlook variants with lower minor allele frequencies or individual-specific relevance. Individualized Bayesian Inference (IBI) offers a promising method to complement GWAS by identifying and prioritizing candidate genetic markers at both the individual and patients-like-me subgroup levels. This study evaluates the application of IBI to PD genetics, using GWAS as a baseline for comparison. We analyzed genetic data from the Fox Insight online …

Evolution Of Raman And Photoluminescence Response In Molybdenum Disulfide Thin Films Deposited Via Thermal Atomic Layer Deposition, Wesley Jen, John D. Hues, Icelene Leong, Nolan H. Olaso, Ravindra K. Kanjolia, Mansour Moinpour, Steven M. Hues, Elton Graugnard

Boise State University Publications and Presentations

In order to enable further advances in microelectronics, new processes capable of precisely depositing films are required. This is especially true of processes meant for depositing two-dimensional (2D) transition metal dichalcogenides, such as MoS2, a material of particular interest due to its high potential mobility even at a thickness of a few atoms. In this work, we report industry-compatible processes for depositing crystalline MoS2 with a high degree of precision. We demonstrate the successful conversion of both MoOx and MoSx films deposited via thermal atomic layer deposition using bis(tert-butylimido)bis(dimethylamino)Mo(VI) and H2O or H2S, respectively, into crystalline MoS2 films after an …

Isolating Human Monocytes And Characterizing Human Macrophage Polarization Through Flow Cytometry And Morphological Analysis, Arthur Peter Klujian

Biomedical Engineering

Peripheral Artery Occlusive Disease (PAOD) is a cardiovascular disease that affects more than 200 million people. It is characterized by atherosclerosis, a biologic process where peripheral arteries are restricted due to a buildup in cholesterol and fats. This eventually leads to ischemia, developing complications such as chronic inflammation and possible limb amputation. The current standard of care for patients includes surgical revascularization and exercise therapy. These treatment strategies have had limited success with alleviating symptoms and restoring perfusion, however, many patients still experience ischemia and do not fully restore blood flow. Further exploration in pursuit of treating these shortcomings led …