Digital Commons Network^™

Ai-Based Environmental Economic - Modeling: A Case Of Germany (1994–2024), Zahraa Taha Naqee

Journal of Economics and Administrative Sciences

This research aims to analyse the impact of economic and energy variables on carbon emissions in Germany during the period (1994–2024), within the framework of environmental economic modelling based on artificial intelligence techniques. The study is based on the hypothesis that the nature of the energy structure and the level of economic activity contribute to explaining changes in carbon dioxide emissions to varying degrees. To verify this hypothesis, an artificial neural network model was adopted to analyse the relationship between a set of independent variables represented by total energy consumption, total energy production, the proportion of renewable energy in total …

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Revised Draft Final Insufficiently Reclaimed Sites Joesphine Shaft (Bres No. 37) – Remedial Action Work Plan (Rawp) (Dated March 24, 2026), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Kenyon Collegian - April 30, 2026

The Kenyon Collegian

No abstract provided.

Morphology And Bioactive Compounds Of Gurmar (Gymnema Sylvestre) With Potential As Antidiabetics, Neny Novita Yuliany, Abdillah Maulana Farhan, Putry Lazimatu Ziyaroh, Edia Fitri Dwinianti, Husnatun Nihayah, Mukhamad Su'udi

Jurnal Kultivasi

The medicinal plant Gymnema sylvestre is widely known for its ability to lower blood sugar levels. This study reviewed the physical characteristics and bioactive compounds of G. sylvestre sourced from different regions, emphasizing its potential as an antidiabetic agent. Morphological analysis includes leaf structure, trichome presence, and other anatomical features, which can influence the plant's chemical profile. Phytochemical analysis, performed using techniques like GC-MS, identifies key bioactive compounds such as saponins, flavonoids, and gymnemic acids, which contribute to its hypoglycemic effect. The findings indicate that regional variations can affect the concentration and presence of these compounds, suggesting that environmental factors …

Optimization Of Physalis Angulata L. Callus Induction And Salinity-Induced Antioxidant Production, Firstian Naufal Sistyananda, Erni Suminar, Anne Nuraini, Muhamad Kadapi, Murgayanti, Syariful Mubarok, Rahmat Budiarto, Eddy Renaldi, Kusumiyati

Jurnal Kultivasi

Groundcherry (Physalis angulata L.) is a plant with many medicinal potentials due to its rich secondary metabolites such as phenolic and flavonoid. However, conventional agriculture practices are still limited, especially in Indonesia. This study was divided into two stages. The first stage was conducted to determine optimal 6-BAP and 2,4-D combination for callus induction, while the second stage was conducted to determine callus phenolic, flavonoid, and antioxidant response to salinity stress. The first stage was arranged in factorial completely randomized design with two factors: 6-BAP (0, 2, and 4 mg/L) and 2,4-D (0, 0.5, 1, and 1.5 mg/L). The second …

Estimating Leaf Area In Velvetleaf (Limnocharis Flava) And Kangkong (Ipomea Aquatica): A Precise And Non-Destructive Approach For Wetland Vegetables, Anggrika Riyanti, Benyamin Lakitan, Momon Sodik Imanudin, Muhammad Yazid

Jurnal Kultivasi

Developing a leaf-area estimation model for vegetable cultivars in wetlands is essential to optimizing agricultural cultivation practices. This study aims to develop a non-destructive model for leaf area estimation in wetland vegetable cultivars (velvetleaf (Limnocharis flava) and kangkong (Ipomoea aquatica)) using regression-based models. The plants were cultivated in a wetland system. Measurements of leaf length and width were taken on all leaves of each plant, using the product of length and width (L×W) as predictor. The regression models for estimating leaf area were adjusted from linear, zero-intercept linear, quadratic, and power. The optimal model was evaluated using the determination coefficient …

Response Of Chlorophyll, Morphology, And Yield Of Several East Java Superior Soybean (Glycine Max L.) Varieties To Levels Of Salinity, Puji Lestari Tarigan, Ida Retno Moeljani, Fadila Suryandika, Hadi Munarko

Jurnal Kultivasi

Soybean production has been extended to saline areas. This development is a strategy to expand planting areas to suboptimal land to increase worldwide production. To support cultivation in these locations, it is necessary to develop superior varieties that are resistant to salinity and provide supporting technological inputs. In saline conditions, soybeans may face stress that leads to morphological, physiological, and yield disturbances. Consequently, the response of several soybeans in East Java should be observed. This study is a pot experiment and arranged in a Factorial Completely Randomized Design (CRD) consisting of two factors, soybean varieties and NaCl concentrations. The treatments …

Growth Of Vanilla Cuttings Under Modified Acid Soil Media And Application Of Several Plant Growth Regulators, Rifqi Raditya Kurniawan, Yugi Rahayu Ahadiyat, Etik Wukir Tini

Jurnal Kultivasi

This research aimed to optimize the growth of vanilla (Vanilla planifolia) cuttings in acid soils by modifying the growing media and applying several types of plant growth regulators (PGRs). Several types of PGRs, including synthetic compounds such as indole-3-acetic acid (IAA) and 6-benzylaminopurine (BAP), as well as natural extracts from shallot (Allium ascalonicum L.) and moringa leaves (Moringa oleifera), were tested to enhance plant performance in acid-growing conditions. The primary objectives were to determine the optimal soil amendment formula and the most effective PGR type for promoting vanilla growth, and to develop a measurable, easy-to-use PGR formulation accessible to farmers. …

Effects Of Phosphate-Solubilizing Fungi On Phosphorus Availability, Retention, And Soil Chemical Properties In Shallot Cultivated On Andisols Of North Sumatra, Agustina Erlinda Marpaung, Tengku Sabrina, Abdul Rauf, Dwi Ningsih Susilowati

Jurnal Kultivasi

The availability of phosphorus (P) is one of the main limiting factors for plant productivity in Andisol soils due to the strong fixation of P by allophane clay minerals, aluminum and iron oxides. Giving the phosphate solubilizing fungi (PSF) is an alternative to increase available P which plants can use to increase the yield. This study aimed to evaluate the effectiveness of phosphate-solubilizing fungi (PSF) in improving P availability on Andisol. The experiment used a block randomized design (BRD) with three replications. The first factor is Andisol soil origin (Soil 1 and Soil 2) and the second is isolate of …

Comparison Of 1d-Convolution Neural Network And Hilbert Huang Transform-Based Features For Ecg Signal Classification, Baqir Ahmed Hussein, Rabab Abdulrida Saleh

Journal of Economics and Administrative Sciences

The electrocardiogram (ECG) signal is one of the primary biological signals used in the diagnosis of cardiac arrhythmias. However, conventional analysis and classification methods are often limited by the nonlinear and non-stationary nature of ECG signals. This research aims to evaluate the performance of a one-dimensional convolutional neural network (1D-CNN) and hybrid models that integrate Hilbert–Huang Transform (HHT)-based features with 1D-CNN for ECG signal classification. Five standard diagnostic categories (N, S, V, Q, and F) were considered. A comparative framework was developed, including a standalone 1D-CNN model and three hybrid models based on different HHT-derived features. Model performance was assessed …

Combined Hybrid Ardl-Garch-Bigru Model In Analyzing And Forecasting Currency In Circulation Issued By The Central Bank Of Iraq, Abdulrazzaq Tallal Akram, Omar Abdulmohsin Ali

Journal of Economics and Administrative Sciences

This research examines the dynamics and forecasting performance of currency in circulation (CIC) in Iraq. It uses a theoretical framework that recognizes long-run equilibrium relationships, short-run adjustment, volatility clustering, and nonlinear patterns. These complexities limit the adequacy of traditional linear models and motivate hybrid approaches. Accordingly, a triple hybrid model is employed. This combines autoregressive distributed lag (ARDL), Generalized Autoregressive Conditional Heteroskedasticity (GARCH) with Generalized Error Distribution (GED) to capture heavy-tailed behavior, and Bidirectional Gated Recurrent Unit (BIGRU). Stationarity is assessed using ADF tests. Residual diagnostic tests confirm heteroskedasticity, thereby justifying the inclusion of a GARCH component. The proposed model …

Assessment Of Morphological Differences And Genetic Variation In Head Shape Of Florida Pompano Trachinotus Carolinus, Neriah Nicholas

Electronic Theses and Dissertations 2020 - Present

Genomics research can inform selective breeding programs to improve broodstock and seedstock quality for the U.S. warmwater marine finfish aquaculture industry. Florida pompano Trachinotus carolinus serves as a model species for the industry due to its commercial value and ability to spawn in captivity. This study examined a growth abnormality observed in commercially produced juveniles in partnership with Aquaco Farms LLC. Twenty fish were collected, culled, and euthanized by Aquaco staff, then classified into two head types: “normal” and “concaved”. Eleven morphological measurements were recorded before and after freezing to assess head variation and storage effects. DNA from pectoral fin …

Faith, Culture, And Transformation: A Case Study Of Tumane Monastery Visitors, Danijel Pavlović, Marija Bratić, Anđelina Marić Stanković, Ivan Kosta (Hieromonk Ilarion), Dimitrije Plećević

International Journal of Religious Tourism and Pilgrimage

This study examines the experiences of visitors to Tumane Monastery, one of the most significant Serbian religious and pilgrimage destinations. Located in a peaceful natural setting, Tumane Monastery is renowned for its spiritual significance, rich history, and connection to miraculous events, making it a key religious and cultural destination in the Braničevo District of Eastern Serbia. Its unique blend of sacred heritage and natural beauty attracts pilgrims and tourists seeking spiritual and cultural enrichment. Using a survey-based approach, the research analyses the demographic characteristics, motivations, behaviours, and perceptions of visitors, as well as the personal and spiritual effects of their …

Enhanced Parametric Approach For Solving Interval-Valued Trapezoidal Neutrosophic Linear Fractional Programming Problems, Hamiden Abd El- Wahed Khalifa H.A.Khalifa, Moodi Abdulrahman Abdullah Al-Rajeh, Sultan S. Alodhaibi

Neutrosophic Systems with Applications

Neutrosophic sets (NSs) generalize the classical versions, by providing a flexible framework capable of representing incomplete, inconsistent, and unclassified data that frequently arises in practical decision frameworks. In this study, a linear fractional programming (LFP) problem with uncertain parameters is investigated. All coefficients in the objective function (OF) as well as the left- and right-hand sides of the constraints are represented using fully trapezoidal neutrosophic numbers (NNs). By employing a suitable score function, the proposed neutrosophic LFP model is transformed into an equivalent scalar LFP problem. Subsequently, a parametric solution procedure is established to regulate the neutrosophic optimum solution. This …

Gauss Elimination Method For Solving The System Of Neutrosophic Linear Equations, Elsayed Badr, Shokry Nada, Saeed Ali, Aya Rabie

Neutrosophic Systems with Applications

This paper proposes a unified computational framework for solving linear systems under trapezoidal Neutrosophic uncertainty. The system is formulated as A( I )x = b( I ), where both the coefficient matrix and the right-hand side vector incorporate an indeterminacy parameter I, expressed as A( I ) = A₀ + IA₁ and b( I ) = b₀ + Ib₁. A decomposition strategy is developed to separate the model into deterministic and indeterminacy components, yielding a solution of the form x( I ) = x₀ + Ix₁. The deterministic component is obtained via …

Uncertainty Handling In Stock Market Prediction: A Fuzzy Markov Chain Approach, Alpa Singh Rajput, Arpan Singh Rajput

Neutrosophic Systems with Applications

Predicting the stock market is never easy because it is influenced by many uncertain and constantly changing factors such as economic conditions, investor behaviour, and global events. Traditional models like the Crisp Markov Chain (CMC) try to predict market movements by using fixed probabilities for different states like bullish, bearish, or stagnant. However, real markets do not behave in such a strict way—they often move gradually between states, which these models fail to capture. To overcome this limitation, this study introduces a Fuzzy Markov Chain (FMC) model, where fuzzy logic is used to handle uncertainty and allow smoother transitions between …

Modeling Agentic Artificial Intelligence Uncertainty In Agriculture Based 6generation: A Hybrid Q-Rung Orthopair Fuzzy Mcdm Methodology, Zekra Sakr, Mona Mohamed

Neutrosophic Systems with Applications

In era of advanced intelligent revolutions, the collaboration between intelligent technologies became imperative. For instance, integrating 6G communications with agentic artificial intelligence considered a catalyst to shift agriculture sector into optimized and intelligence sector. This integration resulted in transitioning the sector from static automation to autonomous, agent-based ecosystems. Accordingly, the efficiency roles for artificial intelligence agents (AIAs), deploying and selecting optimal AIA is important. Yet, selection process is still difficult because agricultural criteria are multifaceted and there are inherent environmental uncertainties. To address these challenges and bolster the selection process, this paper suggests a hybrid multi-criteria decision-making (MCDM) that bolstered …

Geospatial Assessment Of Agrivoltaic Opportunities And Land Use Requirements In Nigeria, Ifeoluwa Ezekiel Babarinde, Bashir Salisu, Jude A. Benavides, Engil Pereira, Steven M. Grodsky, Rafael M. Almeida

School of Earth, Environmental, & Marine Sciences Faculty Publications

Agrivoltaics, the co-location of agriculture and solar photovoltaic (PV) infrastructure, can deliver co-benefits like reduced plant drought stress and improved yields of shade-tolerant crops, particularly in water-scarce regions. Despite growing global interest, the technical potential and opportunities for agrivoltaics remain poorly understood in many regions facing both food and energy insecurity, such as sub-Saharan Africa. Here we provide a spatial assessment of agrivoltaic opportunities in Nigeria by integrating cropland distribution, solar resources, and water stress. We find that northern states—where cropland is abundant and water-stressed, solar irradiance is high, and electricity access remains low—offer the greatest potential for agrivoltaic systems …

Official Technical Disclosure: The Stalwart Protocol — Unified Harmonic Engineering For Aneutronic Fusion, Vacuum Impedance Propulsion, And Tectonic Dampening, Daniel Schramm

Defensive Publications Series

This disclosure introduces the Stalwart Protocol, a deterministic framework for integrating high-efficiency energy systems with environmental and structural control applications. Utilizing non-Keplerian harmonic resonance and Golden Ratio (\phi) geometry, the protocol establishes a unified methodology for aperiodic magnetic confinement in p-B11 aneutronic fusion reactors.

Furthermore, this publication details the application of vacuum impedance manipulation to achieve advanced propulsion characteristics, as well as the implementation of acoustic resonance locks for large-scale tectonic dampening. The framework provides a verified approach to energy utilization and system stability, operating on principles of thermodynamic redirection rather than closed-loop containment. This documentation serves as prior art …

Volatility Forecasting For Muscat Security Market Index Using Markov Switching Garch Model And Back-Propagation Neural Network, Brahim Benaid, Iman Al Hasani, Mhamed Eddahbi

Sultan Qaboos University Journal For Science

This study examines key characteristics of stock market time series, such as regime shifts and non-linearity, which necessitate specialized methods for capturing market volatility. To improve volatility forecasting for the Muscat Securities Market Index (MSMI), the paper proposes a Back-Propagation Neural Network (BPNN) model. The neural network takes as input the volatility estimated by the Markov-Switching GARCH (MS-GARCH) model and uses the Close-Close volatility estimator as the output. The findings indicate that incorporating the neural network enhances the forecasting accuracy of the MS-GARCH model, as measured by Root Mean Square Error (RMSE) and Mean Absolute Error (MAE). The main contribution …

System-Level Barriers To Patient Engagement With Electronic Medical Records, Corey Adams, Reema Harrison, Guncag Ozavci, Kathleen Gray, Nilmini Wickramasinghe, Vicky Yuan, Tracey Bucknall, Elizabeth Manias

Patient Experience Journal

Objective: Electronic medical records (EMRs) can support patient-centered care, but system-level barriers often limit how patients engage with EMR systems. This study explored the system-level barriers and enablers to patient engagement with EMRs from the perspectives of healthcare leaders. Methods: Semi-structured interviews were conducted with 20 participants in senior EMR-related roles across healthcare organizations in two Australian states. Data were analyzed using reflexive thematic analysis to identify key system-level influences on patient engagement. Results: Seven themes were identified: 1) EMRs for digital storage, not connection, 2) Privacy rules create challenges to accessing information, 3) Communication barriers when using EMRs, 4) …

No One-Size-Fits-All: Patient Perspectives Of Key Factors Influencing Their Inpatient Rehabilitation Experience, Mirline Milien, Megan Bewernitz, Katherine Stallings, Mary Ellen Young

Patient Experience Journal

Although patient experience in healthcare settings has historically been an ambiguous concept, it has received increasing recognition as a measure of healthcare quality. Despite this growing recognition and efforts to define patient experience, few studies have explored patient perspectives on the key factors driving this quality indicator. This study aimed to explore the core elements patients view as influencing their experiences in the inpatient rehabilitation setting. This was a single-visit, cross-sectional qualitative interview study. Thirteen patients with diverse diagnoses who received at least one week of rehabilitation services were recruited from a single inpatient rehabilitation facility. Purposive sampling was employed …

Volume 12 Full Text, Bjur Staff

Butler Journal of Undergraduate Research

No abstract provided.

Mediums Of Influence: Giovanni Pico Della Mirándola And Astrology In The 900 Theses And The Disputations Aganinst Astrological Divination, Troy Burkert

Butler Journal of Undergraduate Research

Giovanni Pico della Mirandola (c.1463–1494) has long been the subject of study for scholars of the Renaissance and philosophy more generally because of his syncretic philosophy that placed an emphasis on inner contemplation and magical practice. Recently, more focus has been placed on his astrological views and their development. Early in his career, Pico was working in the Neoplatonic framework that was popular in Florence at the time and seemed to accept astrology along with other magical practices it was linked with. Before his death, however, he seemed to reject astrology wholesale with the writing of the Disputations against Astrological …

Exploring Gender As An Analytical Framework In The 2018-2019 Revolution And Ongoing Civil War: The Role Of Gendered Violence And Sudanese Women's Resistance, Ami John

Butler Journal of Undergraduate Research

This paper will interrogate the intersection of gender, war, and political upheaval within Sudan while focusing on the role of women in both the 2019 resistance and the ongoing conflict and revolution. By the end of 2018, mass protests had called for the ousting of Omar al-Bashir, the long-standing Sudanese president. This event set off a chain reaction which led to events that fueled the long-standing rivalry between the two militant groups that were active in Sudan, the Rapid Support Forces (RSF) and the Sudanese Armed Forces (SAF). The tension caused by this rivalry created unforeseen circumstances for the local …

Front Matter And Table Of Contents, Bjur Staff

Butler Journal of Undergraduate Research

No abstract provided.

Minecraft: A Retrospective, Kylie Salinger

Pepperdine Journal of Communication Research

This speech explores Minecraft as more than a popular sandbox video game, framing it as a creative, narrative-rich, and culturally influential platform that has shaped how players interact with virtual worlds. Beginning with the game’s simple mechanics and origins, the work examines Minecraft’s deeper lore, including its progression through multiple dimensions and the philosophical implications of the End Poem. It also highlights fan-driven theories suggesting a complex, hidden history within the game’s world-building. Finally, the piece analyzes the reasons behind Minecraft’s enduring success, emphasizing its multiplayer connectivity, resurgence during the COVID-19 pandemic, and immersive musical design. Ultimately, the essay argues …

Efficient Energy Management In Networked Microgrids Using Multi-Agent Deep Reinforcement Learning In The Presence Of Uncertainties, Ayodele Benjamin Chukwuyem

Thesis/ Dissertation Defenses

Microgrid technology is essential in facilitating the transition to smart energy grids in developed countries and mitigating energy poverty in developing countries, particularly in areas where grid extensions are not feasible. Recently, the concept of networked microgrids (NMGs) has garnered tremendous attention due to the plausibility of interactions among interconnected microgrids leading to power networks that are more resilient, reliable, and stable. However, because each microgrid has diverse distributed generation resources (renewables and controllable generators) and each microgrid operator (MO) has different objectives, coordinated energy management is required to satisfy local and system-wide goals under conditions with significant uncertainty. Existing …

Reflections On Language And Translation: Toward A "Translation Turn" In Archival Studies, Fiorella Foscarini

Journal of Contemporary Archival Studies

As the dominant lingua franca, the English language acts as an invisible, hegemonic force that exerts a strong influence over the framing of the global world. By using English unreflexively in research, education, and professional cross-cultural exchanges, we may unwittingly support unequal power structures, the homogenization of research, and the marginalization of traditions and knowledge systems based on languages other than English. In most cases where translation is involved, the translating act is treated as a fait accompli or a mere technical process, without acknowledging that exact equivalence is impossible to achieve, and that translation has important epistemological, methodological, …

Refractive Index Determination Of Rectangular Optical Slabs Using Modified Ray Tracing Method, Ubong Williams Robert, Sunday Edet Etuk, Okechukwu Ebuka Agbasi

Engineering and Technology Journal

The traditional ray tracing method (TRM) for determining the refractive index of optical materials is often time-consuming and poses challenges for individuals with visual impairments. Accurate refractive index determination is essential for selecting materials in optical instruments, optoelectronic devices, and optical communication systems. With the emergence of new materials, there is an increasing need for techniques that overcome the limitations of the TRM. In this study, a Modified Ray Tracing Method (MRTM) incorporating the use of a plane mirror to enhance image localisation and reduce alignment ambiguity was developed for determining the refractive indices of various optical materials, including soda, …