Digital Commons Network^™

Implementation Of The Trojan Sex Chromosome Approach In The San Juan River: Investigation And Validation Of Feminization Methods For Channel Catfish, Chad Teal

Funded Research Records

No abstract provided.

Hybrid Deep-Machine Learning For Butterfly Species Image Classification, Maha A. Rajab, Wisal Hashim Abdulsalam, Firas A. Abdullatif, Tole Sutikno

Baghdad Science Journal

Classifying butterfly species is crucial in biodiversity studies and environmental monitoring. However, manual classification is often a laborious process that requires specialized expertise and is prone to error, especially when species have similar visual characteristics. To address these drawbacks, this paper presents a hybrid approach that combines machine learning with deep learning for feature extraction. To enhance the visibility of important features, preprocessing techniques such as background removal and binarization are applied to butterfly images. Feature extraction was performed using the SqueezeNet convolutional neural network, pretrained on the ImageNet dataset. By discarding the final classification layer, the network produced discriminative …

Deepfinsec: Advancing Online Financial Fraud Detection Via Structural Similarity-Based Graph Embedding, Diksha Sharma, Robin Prakash Mathur, Manmohan Sharma

Baghdad Science Journal

The frequent use of digital technology has significantly increased the use of online transactions. Most financial activities are conducted electronically. Financial fraud involves deceiving individuals or businesses for monetary gain. The proposed graph node embedding technique, FA-Struc2vec, is applied to the financial transaction network to extract graph node features based on their structural similarity and generate node embeddings. The node embeddings serve as input to DeepFinSec, which classifies transactions into desired classes. DeepFinSec is a proposed DL-based model that is a hybrid of CNN and LSTM. CNN processes transaction data and extracts local and high-level abstract features while LSTM captures …

An Ion-Neutral Reaction To Form Cyanobenzene And Ethynylbenzene In Titan’S Atmosphere, Rachel M. Huchmala, Vincent J. Esposito

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

The ion-neutral reaction between cyanoacetylene (HC₃N) and phenyl anion (C₆H₅^–) leads to the formation of cyanobenzene (C₆H₅CN) and the ethynyl anion (C₂H^–) via a submerged, exothermic pathway. Through a different mechanism, the same two reactants also form ethynylbenzene (C₆H₅C₂H) and CN^–. These new reactions can be a foundation for the production of substituted benzenes using molecules currently present on Saturn’s largest moon, Titan. Cyclic aromatic molecules like C₆H₅CN and C₆H_{5 …}

Butte Priority Soils Operable Unit Final Reclamation Improvement Field Sampling And Investigation Plan: Bres No. 171 – Blaine Center, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Butte Priority Soils Operable Unit Final Reclamation Improvement Field Sampling And Investigation Plan: Bres No. 160s – Syndicate Pit Dumps, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Butte Priority Soils Operable Unit Final Reclamation Improvement Field Sampling And Investigation Plan: Bres No. 180 – Tullamore Dump, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Butte Priority Soils Operable Unit Final Reclamation Improvement Field Sampling And Investigation Plan: Bres No. 57 – Little Mina-1, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Butte Priority Soils Operable Unit Final Reclamation Improvement Field Sampling And Investigation Plan: Bres No. 75 – National Dump, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Butte Priority Soils Operable Unit Final Reclamation Improvement Field Sampling And Investigation Plan: Bres No. 9 – Clark Street Dump, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

A Systematic Approach For Controlling Tem Sample Thicknesses, Monte Kozell

Physics Faculty Publications and Presentations

Historically, TEM prep has been an artisan craft without a systematic workflow that ensures quantified control over TEM sample thickness. Over- and under-thinning is a significant problem in the TEM prep process. A direct measurement process was demonstrated to control the final thickness of the TEM lamella. Final lamella thickness was controlled by directly measuring lamella thickness in real time using a 10–15 kV SEM while performing secondary electron imaging at the mill position, allowing for (human-mediated) closed-loop processing. We demonstrated the utility of this technique by systematically thinning five TEM samples to discretely target thicknesses ranging from 100 nm …

Multi-Solution Ternary Grover’S Algorithm For Logic-Based Quantum Machine Learning With Pseudo-Kronecker Reed–Muller Form Minimization, Sophia Lee, Ali Al-Bayaty, Marek Perkowski

Electrical and Computer Engineering Faculty Publications and Presentations

Optimization problems in machine-learning (ML) applications can be computationally challenging for classical methods, particularly when they involve large, unstructured search spaces. Quantum computing offers a promising approach to combinatorial optimization by utilizing quantum superposition and amplitude amplification. This paper presents a new methodology using logic-based quantum machine learning (QML) as a complete framework for employing a multi-solution ternary Grover’s algorithm to minimize incomplete binary functions represented by Pseudo-Kronecker Reed–Muller (PKRO) expansions, consistent with Occam’s razor principle. Unlike previous quantum approaches based on Kronecker Reed–Muller (KRO) or fixed-polarity Reed–Muller (FPRM) representations, our work introduces the first Grover-based optimization framework for PKRO …

Fault-Tolerant Concurrent Data Retrieval And Processing Engine Using Acyclic Dependency Graphs, Davide Cazzin, Valentin Mercier

Defensive Publications Series

A lightweight, embedded computational graph engine provides fault-tolerant, concurrent data retrieval and processing across heterogeneous data backends. Operational tasks and data pipelines are modeled as execution nodes organized within a Directed Acyclic Graph (DAG). Programmatically defined task dependencies are dynamically resolved using topological sorting, allowing independent nodes to execute concurrently via a thread pool executor. Data payloads, represented as state mappings, are transferred between completing nodes and downstream dependent nodes to facilitate automated aggregation, joining, and transformation. Granular fault tolerance is achieved by classifying execution nodes as either critical or non-critical. When a non-critical node fails, the failure is caught, …

Dynamic Glare Reconstruction For Adaptive Displays, Hp Inc

Defensive Publications Series

A system and method for dynamic environmental light reconstruction and dual-directional optical compensation are disclosed. The system utilizes a multimodal fusion engine combining a dual-engine vision processor (macro-facial shading and micro-corneal reflection) with a hardware hinge-angle sensor. By accurately reconstructing a 3D environmental light vector and correlating it with real-time device kinematics, the system simultaneously predicts physical glare points on the display and direct flare incidents on the camera lens. The system then executes localized display compensation based on a joint gaze-glare probability map, while predictively tuning camera image signal processor (ISP) parameters to ensure optimal visual readability and video …

From Learning Outcomes To Assessment : Integrated Model For Assessing Creative Problem-Solving Skills In Higher Education Students, Metinee Tanongkit, Sirirat Janyarat, Tippawan Dechsong, Sarawut Trisri, Patcharee Preedasuriyachai

Journal of Education Studies

This academic article aims to present an integrated model for assessing creative problem-solving skills among higher education students, particularly in the contexts of general education courses and large classes. Creative problem-solving is a soft skill characterized by a process-oriented and multidimensional structure, involving understanding problems, generating ideas, making decisions, and developing solutions for action. Therefore, it cannot be comprehensively assessed through a single instrument or solely through end-point outcomes. The academic article proposed model functions as a mechanism for translating learning outcomes into assessment by connecting six components: defining the skill, identifying behavioral indicators, designing learning activities, specifying assessment evidence, …

Disciplinary Literacy : An Approach For Enhancing Reading Literacy Among Thai Students, Suphanat Detraksa, Santiwat Chandai

Journal of Education Studies

The results of the PISA 2022 reading literacy assessment indicate a critical crisis in the reading abilities of Thai students. Only 35% of lower secondary school students were able to read at the baseline level, while the remaining 65% performed below it. This situation underscores the urgent need for effective instructional approaches to improve students’ reading abilities at both policy and practical levels. This article proposes the concept of disciplinary literacy to accomplish this. The core principle of disciplinary literacy is the application of discipline-specific strategies authentically employed by experts in each field to comprehend texts. The article begins by …

Effects Of Learning Activities Based On The Stem Education Concept On The Problem-Solving Skills And Learning Management Design Abilities Of Pre-Service Mathematics Teachers, Saowaphak Wongkrai, Parichart Poophakdee

Journal of Education Studies

The objectives of this research were to: 1) determine the effectiveness of the STEM education lesson plan in accordance with the 75/75 efficiency criteria 2) compare students' knowledge of STEM education before and after by using STEM education-based learning activity. 3) compare students' problem-solving skills before and after by using STEM education-based learning activity. 4) study the students' ability to design learning by using STEM education-based learning activity. This study employed experimental research designing to evaluate learning activities based on the STEM education concept. The sample consisted of 27 third-year pre-service mathematics teachers. The sample was selected through cluster random …

Contents Vol. 54 Issue 3, ศูนย์นวัตกรรมทางการศึกษา สื่อสิ่งพิมพ์ และสื่อออนไลน์ จุฬาฯ

Journal of Education Studies

No abstract provided.

Pharmaceutical Compositions Of Nirogacestat Hydrobromide, Msn Laboratories Private Limited, R&D Center, Srinivasan Thirumalai Rajan, Ravi Kumar Nithiyanandam

Defensive Publications Series

The present invention provides a pharmaceutical composition comprising Nirogacestat or a pharmaceutically acceptable salt thereof.

The structure of Nirogacestat is shown below

Improving Web Accessibility Using On-Device Models, Gudipati Tarun

Defensive Publications Series

Modern web environments typically present navigation barriers for assistive technologies when web content lacks explicit programmatic semantics. A system can utilize an intermediating browser layer configured to execute a multimodal edge machine learning model entirely on a device of a user. The system may scan Document Object Model (DOM) structures to extract layout contexts and generate synthesized structural attributes. The generated attributes can be dynamically injected into an accessibility tree of a browser. Such an approach may enable real-time local remediation of interactive elements, embedded frames, tabular data, and visual media without communicating information to a remote server, thereby preserving …

The Predictive Scoring For Dynamic Payment Routing And User Interface Adaptation, Sree Sitamahalakshmi Moguluru

Defensive Publications Series

In the field of digital payment processing, transaction routing systems can operate reactively by identifying performance degradation within a payment processor's network after user transactions have failed. A predictive payment orchestration framework can utilize a machine learning inference engine to generate a real-time authorization probability score for a transaction across multiple available payment processors. This score can be calculated using real-time telemetry signals from the processors and the specific metadata of the pending transaction. Based on the calculated scores, an execution engine can dynamically route the payment to a selected processor or signal a user-facing interface (e.g., a web application, …

Comparative Antibacterial Efficacy Of Hot Vs. Cold Aqueous Saussurea Costus Root Extracts Against Streptococcus Mutans, Fatima Adil Mohammed Hussien, Ahlam Taha Mohammed

Karbala International Journal of Modern Science

The present in vitro study assessed the antibacterial efficacy of aqueous root extracts prepared using hot and cold extraction methods of Saussurea costus against Streptococcus mutans isolates. Based on antibacterial screening results, the hot extract, which demonstrated greater antibacterial activity, was selected for subsequent cytotoxicity assessment. Cold and hot aqueous extracts were subjected to phytochemical screening, and phenolic acids and flavonoids were quantitatively assessed using High-Performance Liquid Chromatography. Antibacterial efficacy was evaluated using a resazurin-based microdilution technique to assess the minimum inhibitory concentration, followed by subculture to determine the minimum bactericidal concentration, and an agar well diffusion assay. Cytotoxicity of …

Enhancing The Ability To Construct Scientific Explanations Among 7th-Grade Students Using A Diagram-Based Scientific Explanation Learning Model With Scaffolding Techniques, Kanchana Yongdee, Chaninan Pruekpramool

Journal of Education Studies

Previous instructional approaches have effectively developed the claim and evidence components of students’ ability to construct scientific explanations. However, the reasoning component remains unclear. This convergent parallel mixed-methods research aimed 1) to study seventh-grade students’ level of ability to construct scientific explanations during learning using the diagram-based scientific explanation learning model with scaffolding techniques, and 2) to study seventh-grade students’ level of ability to construct scientific explanations after learning. The target group consisted of 32 seventh-grade students from a school under the Office of Secondary Education Service Area in Kanchanaburi Province, selected through purposive sampling. Research instruments for collecting data …

How Far Do A Smile And A Hand Held Tight Reach? Children’S Play As A Transdisciplinary Predictor Of The Trajectory Of Physicochemical Processes On Atomic, Molecular And Cellular Scales, Evangelina Wu Uskoković, Theo Wu Uskoković, Vuk Uskoković

Administration and Staff Articles and Research

The search for an intrinsically beautiful scientific project took two children and their parent to over 600 visits of 181 playgrounds scattered throughout northern, central and southern California over the period of more than three years. Their goal was to test the hypothesis that children’s happiness and fondness for communication at playgrounds could be used, through complexity and entropy as intermediary quantities, as predictors of the evolution of physical, chemical and biological phenomena on microscopic scales ranging from the atomic to the cellular. Specifically, a link was sought between the children’s responses at play and the reaction paths of physicochemical …

Spectrum, Volume 57, Issue 2, Sacred Heart University

Newspapers (Obelisk & Spectrum)

Highlights include:  Building the Future -- Pouring on Park Ave! --  The RD Is In -- College is More Than Classes -- Family Weekend Schedule -- Rowing Revamp from Bow to Stern

Enviromental Burden And Financial Performance Of Manufacturing Companies On Borsa Istanbul: An Exploratory Circular-Economy-Aligned Assessment Using The Aroman Method, Sibel Fettahoglu, Ejder Ayçin, Büşra Karslı Günay

Journal of Environmental Science and Sustainable Development

Türkiye's 2053 net-zero emissions target and the critical role of the manufacturing sector in this process necessitate an urgent examination of the financial impacts of circular economy (CE) practices. This study provides an exploratory analysis of the relationship between environmental burden and financial performance using 2023 data from 26 manufacturing companies in Borsa Istanbul. Given the difficulty of measuring holistic circularity at the company level, this study operationalizes the environmental dimension of circular economy performance using selected environmental burden indicators, including energy and water consumption, greenhouse gas emissions, and waste generation. The study uses the alternative ranking order method accounting …

K 1-6 Is A Photoionised Interstellar Medium Nebula Shaped By A Fast-Moving Hot White Dwarf In A Triple System, Jaroslav Merc, David Jones, Ana Escorza, Henri M. J. Boffin, Nicole Reindl, Michael Abdul-Masih, Thomas Masseron, Paulina Sowicka, Jan Kára, Jorge Jorge García-Rojas

Physics & Astronomy Faculty Publications

Aims. K 1-6 has long been classified as a planetary nebula (PN) hosting a binary central star; however, it has remained poorly studied due to its faintness. The central star exhibits pronounced photometric variability whose origin is still unclear. We present a comprehensive characterisation of the K 1-6 system, including the physical properties of its stellar components and the nature of the surrounding nebulosity.

Methods. We conducted a multi-wavelength analysis combining optical and UV spectroscopy obtained with the Gran Telescopio Canarias, the Telescopio Nazionale Galileo, the Nordic Optical Telescope, and the Hubble Space Telescope. We also present long-term multi-band ground- …

Legal Shifts And Judicial Inconsistencies In Strict Liability After The Omnibus Law: A Critical Analysis Of Indonesian Environmental Law For Responsible Mining And Esg Compliance, Nurul Listiyani, Khenza Atthaya Namira Yulianto

Journal of Environmental Science and Sustainable Development

The legal significance of strict liability in mining arises from the sector’s capacity to generate technically complex, diffuse, and long-latency environmental harm that is difficult to address through fault-based litigation alone. This study aims to evaluate how the post-Omnibus Law reformulation of Article 88 of Law No. 32 of 2009 has affected the doctrinal autonomy, judicial consistency, and practical enforcement of strict liability in Indonesian environmental law. The research used normative doctrinal legal research including statutory, case-law, conceptual, comparative, and evaluative analyses. The data cover the 2009–2025 period and consist of two core statutory formulations of Article 88, the Job …

A Viable Energy-Saving Solution For Sustainable Development: High-Efficiency Electric Motors Lspmsm, Le Anh Tuan, Do Nhu Y, Nguyen Thi Lan

Journal of Environmental Science and Sustainable Development

In the context of sustainable development, energy-efficient conversion technologies play an important role in reducing energy consumption and minimizing environmental impact. High-efficiency line-start permanent-magnet synchronous motors (LSPMSM) have emerged as a promising alternative to conventional motors. This study investigates the potential of LSPMSM as a viable solution for sustainable industrial development. An integrated approach combining motor design optimization, performance analysis, and environmental impact assessment is applied to evaluate the benefits of replacing conventional low-efficiency IE1 squirrel-cage induction motors (SCIM) with the proposed solution. A proposed step-skewed permanent magnet (PM) configuration of LSPMSM 2.2 kW, 4 poles is introduced. The proposed …

From Scrolls To Algorithms: A Critical Analysis Of Generative Ai, Digital Preservation, And Ranganathan’S Normative Philosophy, Madhu K S

Book Chapters

The paper discusses the developments in human information access across three historical paradigms including physical scarcity, digital abundance, and synthetic algorithmic mediation with Generative AI. History is discussed with the philosophical aspects of Floridi’s Philosophy of Information, Christine Borgman’s Digital Scholarship Framework, and S R Ranganathan’s Normative Library Science. This conceptual paper explores the transition from finding documents to creating answers with AI it has changed human thinking and reliability on information. This transition has changed how people believe and trust the source of information. This paper looks at the material ethics regarding how commercial large language models (LLM) are …