Digital Commons Network^™

Exploring Digital Media Literacy And Its Impact On Pedagogical Innovation And Creativity, Suparno Suparno, Tuty Sariwulan, Bagus Shandy Narmaditya, Ari Saptono, Saparuddin Muchtar, Muhammad Ridlo, Dingot Hamonangan Ismail

Journal of Media Literacy Education Pre-Prints

Enhancing teachers’ innovative work behavior is prominent in promoting educational quality. This exploratory study aims to understand the linkage between digital media literacy, creativity, and innovative work behavior among teachers in Indonesia. The data were obtained from teachers using an online self-administered survey. In addition, the data were analyzed using structural equation modeling with AMOS software. The results of this study indicate that there is a positive and significant influence between digital media literacy and teachers’ innovative work behavior. Indeed, creativity can also be a predictor of innovative work behavior among teachers in Indonesia. This study also notes the connection …

Routing Ml Inference Requests To Specialized Nodes Based On Prefill-Decode Classification, Satish Kondalam, Muninder Sambi, Rohan Grover, Aman Ahuja

Defensive Publications Series

Traditional hardware-based routing for machine learning (ML) inference requests can be inefficient in resource-constrained environments, such as air-gapped or sovereign deployments, potentially leading to system bottlenecks and suboptimal resource utilization. A disclosed technology relates to a system where a gateway component can classify incoming ML inference requests based on their computational profile, for example, as either prefill (dominant) or decode (dominant). The gateway can then route each request to a specialized node within a disaggregated hardware cluster, such as dedicated prefill nodes optimized for computation or decode nodes optimized for memory bandwidth. This application-aware routing method, which may be combined …

Exploratory Concurrent Associations Between K-Kyphometer And Flexicurve-Derived Kyphosis Measures (Kyphosis Index And Kyphosis Angle): Preliminary Study, Pimonpan Taweekarn, Kunavut Vannajak

Journal of Health Research

Background: Quantifying thoracic kyphosis is essential in musculoskeletal and rehabilitation practice. Although radiographic Cobb angle is commonly treated as a reference standard, repeated imaging is limited by cost and radiation exposure. Therefore, clinicians frequently use non-radiographic tools such as inclinometers and flexicurve rulers, which have shown acceptable reliability and variable levels of validity in different populations. The objective of this study was examine Pearson correlations between a patented K-Kyphometer (Utility Patent No. 23366) and two flexicurve-derived measures—Kyphosis Index (KI) and Kyphosis Angle (K angle).

Methods: In this cross-sectional correlation study (N=28), thoracic kyphosis was assessed using the K-Kyphometer and …

Covid-19 Vaccination Coverage And Associated Factors In Conflict-Affected Provinces Of The Democratic Republic Of The Congo: A Cross-Sectional Study, Anthony E. Mwakapugi

Jurnal Epidemiologi Kesehatan Indonesia

Background: This study analysed the coverage and determinant factors for COVID-19 vaccination in Ituri, North Kivu, and South Kivu provinces in the Democratic Republic of the Congo (D.R.C). These are war-affected provinces that have experienced prolonged armed conflict, potentially limiting vaccine access.

Methods: A cross-sectional analysis of 9,795 people aged at least 15 years old and older fromyears from the 2023–2024 D.R.C Demographic and Health III Survey was conducted. Weighted descriptive statistics, design-adjusted chi-square tests, and multivariable logistic regression identified determinants of vaccination uptake.

Results: Overall vaccination coverage was 14.1% (95% CI: 11.3% - 17.4%)16.6% (95% CI= 14.2–19.3), with marked …

Auctioning The Right To Trust And Reciprocate: Scarcity, Market Allocation, And Selection In The Trust Game, Jason Shachat, J. Todd Swarthout, Yun Wang

ESI Working Papers

We examine how competitive allocation of scarce participation rights shapes behavior in a Berg-style trust game. Trustor and trustee roles are allocated through multi-unit uniform-price English auctions with varying scarcity, alongside a matched-fee random-assignment control treatment. Positive transfers and returns persist, but behavior lies near the low-trust, low-reciprocity end of comparable benchmarks. Tighter scarcity accelerates the decline in trustor transfers, while trustee returns show no monotonic pattern. Scarcity strongly raises auction prices without comparably raising participants’ gross trust-game earnings, thereby lowering net earnings. Exit bids adjust to past game profitability, indicating adaptive learning about the value of participation.

Disturbance-Learning Inertia Estimation Using Artificial Neural Networks For Power System Stability, Sospeter Igaanja Gabriel, Francis Mwasilu, Peter Makolo Dr.

Tanzania Journal of Engineering and Technology (TJET)

ABSTRACT

Power systems are progressively shifting towards low inertia as a result of incorporating significant amounts of intermittent and converter-based renewable energy sources, such as wind and solar power, into the current power grid network. This integration poses considerable problems to inertia and frequency control within the network due to a reduction in the proportion of synchronous generators. Furthermore, rapid frequency deviations occur due to the disparity between supply and demand during contingencies, complicating the maintenance of frequency stability within the power system. The disturbance-learning inertia estimation method for power system stability is presented. The simulation analysis is performed using …

A Single-Step Plate Method For The Screening Of Xyl-A Mutant Libraries Based On Gene Expression, Bilqees Fatima, Muhammad Mohsin Javed

Journal of Bioresource Management

A single-step plate method is described for the screening of transformants of cloned gene xyl-A encoding xylose isomerase. It is rapid, inexpensive, easy to perform, and more specific, as the selection is based on xyl-A expression level. The crucial composition of the plate medium comprised agar, buffer, nutrients, co-factor, substrate, inducer, antibiotic, and an indicator, i.e., 2, 3, 5-triphenyl tetrazolium chloride (TTC). Transformed cells of E. coli BL21 (DE3) with a plasmid (pET21(a)⁺+xyl-A), were exclusively capable of growing, isomerizing the substrate, and producing deep-red formazan by reducing TTC, whereas the untransformed cells and cells containing a …

Multivariate Ecological Assessment Of Flora Of Village Karri Haider, District Tank, Kp, Numan Khan, Muhammad Azeem, Muhammad Adnan Hamza, Muhammad Aleem, Arshad Rasool, Ammara Wakeel, Sehrish Sadia

Journal of Bioresource Management

Spatial and temporal patterns of vegetation change are influenced by multiple factors, including the physical environment, land-use history, prior disturbance, and initial vegetation composition. The primary aim of this study was to understand floristic vegetation features, species diversity, and the classification of plant communities in Village Karri Haider, District Tank, Khyber Pakhtunkhwa (KP). Samples were collected from each transect using quadrats of 1 m × 1 m for herbs. Soil from three quadrats was mixed to make composite samples, and soil elements were quantified through laboratory analyses. Two surveys were conducted from July to December, 2023. In the first survey, …

Bio-Oil Production From Palm Kernel Shell By Pyrolysis: Feedstock Characterization And Potential For Sustainable Transportation Fuel Production, Monday Ejiga, Helen Olayinka Ogunsuyi, Taiwo Mary Oriyomi, Ayodele Adekunle Faiyetole

Journal of Bioresource Management

Transportation energy constitutes a substantial share of global energy consumption, and its associated contribution to emissions and, by extension, climate change, necessitates intensified efforts toward the development of sustainable transportation fuels. This study investigated the suitability of Palm Kernel Shell (PKS) biomass for pyrolytic bio-oil production as a potential precursor for transportation biofuels. Laboratory-scale pyrolysis at 450-500 °C produced bio-oil, while proximate analysis (wt.%) showed low moisture (5.59), moderate fixed carbon (20.11), high volatile matter (66.25), and relatively high ash (8.05) contents. Ultimate analysis (wt.%) revealed 49.25 carbon, 5.17 hydrogen, 43.90 oxygen, 0.79 nitrogen, and 0.89 sulphur, with Van Krevelen …

Generative Artificial Intelligence, Academic Integrity And Authentic Assessment Within An Irish University, Louise Nagle, Brigid Crowley, Laura Rafferty, Susan Horgan, Colin O'Brien

Publications

Academics need both an overarching policy on Generative Artificial Intelligence (Gen AI) use in teaching and learning, yet agency in its application across various disciplines. Clarity on the use of the technology for both students and staff is therefore a challenge and characterised by uncertainty given how its application is still unfamiliar. This research examines the organisational context in which Gen AI is being embraced and was conducted by the digital teaching support functions within an Irish university. Students and staff were surveyed (n=1,746) on various aspects of digital use within their education and workplace, including Gen AI. …

Butte Priority Soils Operable Unit Final Insufficiently Reclaimed Sites Field Sampling And Investigation Plan: Bres No. 129 – Heaney Dump, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Butte Priority Soils Operable Unit Final Insufficiently Reclaimed Sites Field Sampling And Investigation Plan: Bres No 135 – Washoe Sampling Works, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Butte Priority Soils Operable Unit Final Insufficiently Reclaimed Sites Field Sampling And Investigation Plan: Bres No. 11 – Magna Charta Lessee Dumps, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Butte Priority Soils Operable Unit Final Insufficiently Reclaimed Sites Field Sampling And Investigation Plan: Bres No. 105 – Lizzie Shaft, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Butte Priority Soils Operable Unit Final Insufficiently Reclaimed Sites Field Sampling And Investigation Plan: Bres No. 46 – Missoula Mine, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Dynamic Forecasting Of Sovereign Wealth Fund Effects On State-Owned Firm Stocks Using Hybrid Arima–Garch Models, Ananta Hagabean Nasution, Teguh Yudo Wicaksono, Donny Oktavian Syah, Randhy Nugroho

BISNIS & BIROKRASI: Jurnal Ilmu Administrasi dan Organisasi

This study examines the forecasting dynamics of Indonesia's Sovereign Wealth Fund, DANANTARA, on the BUMN-20 Index using a hybrid ARIMA-GARCH model. The establishment of DANANTARA in February 2025 generated mixed reactions among capital market participants, with the Indonesian Stock Exchange suspended trading after share prices declined by more than five percent. Using daily time-series data from June 2018 to August 2026, this study employs a hybrid ARIMA(1,1,3)-GARCH(1,1) framework processed through E-Views 12. The results indicate that the BUMN-20 Index is predominantly driven by broader market movements, as evidenced by the highly significant IHSG return coefficient (β =1.237, p < 0.001). In the mean equation, the DANANTARA announcement and launch events do not produce statistically significant shifts in average returns. However, in the variance equation, the announcement significantly elevated conditional volatility (γ = 0.025, p = 0.009), suggesting heightened market uncertainty. The volatility persistence measure (α + β = 0.952) indicates that shocks to the BUMN-20 Index decay slowly, with a half-life of approximately 14 trading days. The forecasting results suggest a gradually declining trajectory for the index, though this does not imply a causal relationship with DANANTARA. These findings contribute to the literature by demonstrating that the primary channel through which a nascent SWF affects domestic equity markets is volatility rather than returns. The policy implications highlight the importance of for transparent governance and consistent communication in mitigating market uncertainty surrounding DANANTARA's operations.

Diagnosing Influential Observations Via Hybrid Secretary–Osprey Optimization Algorithm (Hsooa) In Gamma Regression Models For Fasting Blood Glucose Data, Luay Adil Abduljabbar, Sabah Manfi Ridha

Journal of Economics and Administrative Sciences

Influence diagnostics are essential for identifying influential observations that may affect the estimation accuracy of regression models. Classical diagnostic measures such as Cook's Distance and DFFITS may become less effective in complex or highly dispersed datasets. In this study, a new Hybrid Secretary–Osprey Optimization Algorithm (HSOOA), based on the integration of the Secretary Bird Optimization Algorithm (SBOA) and the Osprey Optimization Algorithm (OOA), is proposed for influential observation detection in the Gamma Regression Model (GRM). This optimization framework successfully achieves an optimal balance between global exploration and local exploitation. The proposed HSOOA framework was applied to a real medical dataset …

Draft Final Quarterly Operations And Maintenance Report: Butte Treatment Lagoon System – Second Quarter 2026, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Random Forest Algorithm Vs. Linear Regression For Financial Performance Determinants: Evidence From Iraqi Mixed-Sector Firms, Odaiy Obaid Zeidan, Mustafa Habib Mahdi

Journal of Economics and Administrative Sciences

This paper examines the predictive factors of financial performance among Iraqi mixed-sector firms, comparing the predictive power of traditional Ordinary Least Squares (OLS) regression with the Random Forest (RF) machine learning algorithm. Utilizing annual data from 11 firms over the period 2015–2020, the study measures financial performance using Return on Assets (ROA), Return on Equity (ROE), and Return on Sales (ROS). OLS regression identified the directional relationships and p-values, whereas Random Forest evaluated predictive accuracy and modeled nonlinear relationships. The OLS results indicate that firm size, liquidity, productivity, and cash-to-asset ratio have significant positive effects on financial performance, while the …

A Data-Driven Neutrosophic Multi-Criteria Intelligent System For Functional Disability Severity Assessment, Ehab Abdel Aziz Al-Beblawi, Mirna Samy, Abduallah Gamal

Neutrosophic Systems with Applications

Functional disability assessment is a multidimensional problem because individuals may experience different levels of difficulty across daily activities such as walking, standing, dressing, eating, grasping objects, and social participation. This paper proposes NIFDA, a data-driven neutrosophic multi-criteria intelligent system for functional disability severity assessment. The proposed framework represents each functional response through three components: confirmed limitation, indeterminacy, and preserved functional ability. This allows the model to handle valid responses, uncertain information, and missing or non-informative data without forcing them into a single crisp score. To reduce dependence on subjective expert weighting, NIFDA derives criterion weights objectively using a hybrid CRITIC–MEREC …

A Neutrosophic Memory-Integrity Calculus For Contradiction-Preserving Persistent Ai Agents, Rana Muhammad Zulqarnain, Saalam Ali

Neutrosophic Systems with Applications

Persistent AI agents increasingly convert interaction histories into long-lived memory, making memory transformation not retrieval alone—a central reliability problem. NMIC (Neutrosophic Memory-Integrity Calculus) formalizes the integrity of write, merge, consolidation, revision, and retrieval operations over persistent memory. Each proposition is represented through an evidence ledger carrying independent truth, indeterminacy, and falsity degrees together with reliability, provenance, temporal validity, contextual applicability, and inter-evidence dependence. A dependence-normalized hazard aggregation preserves simultaneous support and opposition while making the resulting state invariant to exact evidence duplication. Pure consolidation is governed by five integrity conditions: no support invention, no opposition invention, no manufactured certainty, contradiction …

Neutrosophic Indeterminacy-Transport Kolmogorov-Arnold Networks For Structured Uncertainty, Hafiz Muhammd Bilal, Kiran Naz, Anjum Ijaz

Neutrosophic Systems with Applications

Kolmogorov-Arnold Networks (KANs) replace fixed node activations with learnable univariate edge functions, but standard KAN inference treats two equal-valued features identically even when one is accompanied by an explicit quality warning. NIT-KAN introduces a neutrosophic indeterminacy-transport mechanism for this setting. Each node carries an indeterminacy state in [0, 1]; a monotone gate g(I)=⁽1-I)^α attenuates uncertain evidence on the predictive path, while a sensitivity-weighted transport rule carries indeterminacy through the underlying KAN computation. A terminal audit maps signed evidence to truth-support, falsity-support, and conflict-augmented indeterminacy without interpreting these quantities as class probabilities. We …

Neutrokoopman: Channel-Preserving Koopman Spectral Analysis Of Nonlinear Dynamics With Truth, Indeterminacy, And Falsity Evidence, Ahmed Samy, Mohamed M. Abdelhafeez, K Venkatachalam, Mohamed Abouhawwash

Neutrosophic Systems with Applications

Modern dynamical systems increasingly operate with evidence that is not merely noisy but incomplete, contradictory, or only partially trustworthy. Conventional Koopman methods represent nonlinear dynamics through linear evolution of observables, while robust and adaptive variants address parameter and model uncertainty. They do not, however, preserve the semantic distinction between support, indeterminacy, and counter-support when those conditions are compressed into a single uncertainty variable. This paper develops NeutroKoopman, a channel-preserving Koopman framework in which the physical state is augmented by a single-valued neutrosophic evidence state ν_t = ( T_t,I_t,F_t ). Deterministic and Markovian formulations are …

Event-Resolved Rqdf Characterisation Of Berea Sandstone: Distinguishing Pore-Structure Similarity From Scale-Dependent Variability, Walid Mohamed Mahmud

Platform: A Journal of Engineering (PAJE)

This paper applies the Rate-Controlled-Porosimetry Quantitative Descriptor Framework (RQDF) to four Berea sandstone core plugs. Events were identified using an automated, prominence-based detection algorithm, which was validated against an independently documented manual event count for two of the four plugs. The finding is an empirical shape-scale separation among these four plugs. Descriptors that are invariant by construction under rescaling of the underlying pore-size distributions, namely event-size entropy, distributional and power-law exponents, and curve-region saturation boundaries, reproduce across the four plugs with a coefficient of variation below 8%. Median effective capillary-equivalent pore-throat radius is also stable at this level (CV about …

Multiscale Thermal Performance Transfer In Fly-Ash-Modified Recycled Fine Aggregate Concrete For Climate-Dependent Wall Response, Jiayu Zhao, Norul Wahida Kamaruzaman

Platform: A Journal of Engineering (PAJE)

This study develops a multiscale analytical framework to quantify how thermal conductivity changes in fly-ash-modified recycled fine aggregate concrete (FA-RFAC) transfer to wall and climate-response scales. Five conductivity scenarios (0.60–1.40 W/(m·K)) were evaluated using a standardised multi-layer reference wall, and transfer was quantified using local transfer elasticity and a finite-change thermal-performance retention factor. The resulting wall U-values were combined with heating and cooling degree-days for Beijing, Shanghai, and Guangzhou. The local transfer elasticity was mathematically equivalent to the fraction of total wall resistance provided by the FA-RFAC layer. At the reference conductivity of 1.00 W/(m·K), FA-RFAC and rock wool contributed …

Thermo-Entropic Analysis Of Unsteady Mhd Nanofluid Couette Flow: A Classical Spectral Approach With An Exploratory Quantum Linear-Solver Application, Serai Israel Mosala, Oluwole Daniel Makinde, Azwinndini Muronga

Mathematical Modelling and Numerical Simulation with Applications

This study presents a thermo-entropic analysis of unsteady MHD nanofluid Couette flow, combining a classical bivariate spectral quasilinearisation (BI-SQLM) and Crank--Nicolson solution with an exploratory application of quantum linear solvers. An incompressible, electrically conducting nanofluid flows between parallel plates under partial slip and convective heat exchange; the discretised linear systems are additionally solved via the Harrow--Hassidim--Lloyd (HHL) algorithm and the Variational Quantum Linear Solver (VQLS). Results are presented for Pure Water, Cu-Water, and Al₂O₃-Water across seven parameter variations. The Hartmann number dominates velocity suppression and entropy amplification, while velocity slip reduces upper-wall entropy generation more than …

Effects Of Co-Rotating Cylinders And Boundary Conditions On Heat And Mass Transfer In A Trapezoidal Enclosure, Olalekan Adebayo Olayemi, Olalekan Tajudeen Popoola, Leke Thaddeus Oladimeji, Isaac Kayode Adegun, Taofiq Omoniyi Amoloye, Oluwatayo Babatope Ojo, Benjamin Ohida Daniel, Michael Olabode Ibiwoye

Mathematical Modelling and Numerical Simulation with Applications

This study investigates the effects of rotational speed $(\Omega)$, Richardson number $\left(Ri\right)$, and Lewis number $\left(Le\right)$ on heat and mass transfer (HMT) around two co-rotating cylinders symmetrically situated in a trapezoidal enclosure. In the double-diffusive mechanism, the bottom wall of the trapezium is at a high temperature $\left(T_h\right)$ and concentration $\left(C_h\right)$, while the top wall is at a low temperature $\left(T_c\right)$ and concentration $\left(C_c\right)$. The side walls are perfectly insulated with zero mass flux, while the buoyancy ratio $\left(Br\right)$ is fixed at 1.0.  Two thermal-mass boundary scenarios are considered. Scenario 1: Cylinders are thermally insulated with zero mass flux, and …

Exact Solution Structure And Dynamic Preservation In A Nonstandard Finite-Difference Formulation Of The Sir Model, Ramsha Shafqat, Wutiphol Sintunavarat

Mathematical Modelling and Numerical Simulation with Applications

A new nonstandard finite difference method is developed for discretizing the classical Susceptible--Infected--Removed (SIR) epidemic model. In the proposed approach, the first derivatives in the continuous SIR system are replaced by two carefully constructed nonstandard denominator functions, yielding a dynamically consistent discrete model with improved numerical stability while preserving consistency with the original continuous system. It is proved that the proposed scheme preserves the fundamental dynamical properties and qualitative behavior of the continuous SIR model, including positivity and the long-term dynamics of the population classes. Moreover, the resulting discrete system admits explicit analytical solutions, providing further insight into the model …

Numerical Solution Of The Hjb Equation Using A Hybrid Bernstein–Fractional Chebyshev Spectral Collocation Method, Alvian Alif Hidayatullah, Subchan Subchan, Sena Safarina, Tahiyatul Asfihani, Dilshod Mashrabovich Akhmedov

Mathematical Modelling and Numerical Simulation with Applications

The Hamilton–Jacobi–Bellman (HJB) equation is fundamental in stochastic optimal control but is often difficult to solve accurately because of its nonlinear and multidimensional structure. This paper develops a hybrid tensor-product spectral collocation method based on shifted Bernstein polynomials in time and fractional-order Chebyshev polynomials in the state variables. The proposed shifted Bernstein–fractional Chebyshev (SBFC) framework allows the time and state directions to be approximated using different basis characteristics, while the fractional parameters provide adjustable resolution in the state domain. A weighted approximation framework is established, including density and convergence results for the mixed approximation space. The state collocation points are …

Neural Network-Based Analysis Of Heroin Epidemic Models With Modified Fractional Operators, M. A. El-Shorbagy, Sedat Pak, Mati Ur Rahman, Hossam A. Nabwey

Mathematical Modelling and Numerical Simulation with Applications

Heroin and synthetic narcotic abuse have become a major global concern, posing challenges to individuals, families, and communities. Their widespread availability and low cost have intensified the crisis. This study investigates a heroin transmission model using the modified Atangana--Baleanu--Caputo (mABC) fractional operator, with emphasis on non-zero solutions. Series solutions are derived by combining the Laplace transform with the Adomian decomposition method to address nonlinear components. Qualitative analysis is conducted through fixed-point theory, while stability is assessed using the T-Picard method. Numerical simulations explore the effects of different fractional orders and transmission parameters on the system. The study incorporates a deep …