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Articles 571 - 600 of 713725
Full-Text Articles in Entire DC Network
An Ion-Neutral Reaction To Form Cyanobenzene And Ethynylbenzene In Titan’S Atmosphere, Rachel M. Huchmala, Vincent J. Esposito
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 C6H5 …
A Systematic Approach For Controlling Tem Sample Thicknesses, Monte Kozell
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Re: Comment Letter For Butte Priority Soils Operable Unit (Bpsou) 2025 Surface Water Compliance Evaluation Technical Memorandum (Dated June 29, 2026), Emma Rott
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
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
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
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
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
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 …
Knowledge-Enhanced Feature Store For Operational Ml And Llm Workflows, Saurabh Suman
Knowledge-Enhanced Feature Store For Operational Ml And Llm Workflows, Saurabh Suman
Master's Theses
Modern machine learning (ML) organizations rely on feature stores to manage training and production data, yet as catalogs grow to thousands of features, semantic management becomes the bottleneck: discovery, governance, and metric selection remain largely manual. This thesis proposes and evaluates a knowledge-enhanced feature store that augments a dual-plane store with a hybrid knowledge layer—relational provenance, a lineage graph, semantic vector retrieval, and an online cache—and an LLM-driven multi-agent layer for profiling, matching, grounded metric recommendation, and pipeline generation. A working prototype was evaluated across three task families—semantic profiling, feature-matching retrieval, and discovery—using classification, ranking, and operational metrics computed by …
Temporal Variation In Picophytoplankton Pigment Phenotypes Of Two Urban Rivers, Kylee M. Lamberson, Camille E. Wendlandt, Kristin E. Forgrave, Anne W. Thompson
Temporal Variation In Picophytoplankton Pigment Phenotypes Of Two Urban Rivers, Kylee M. Lamberson, Camille E. Wendlandt, Kristin E. Forgrave, Anne W. Thompson
International Journal of Undergraduate Research and Creative Activities
Picophytoplankton are a group of photosynthetic, unicellular organisms, making them key primary producers in aquatic ecosystems. These cells numerically dominate in oceans and lakes where picophytoplankton communities contain phenotypic subpopulations that correspond to biogeographic patterns. In rivers, however, such community dynamics are less studied. We examined the phenotypic subpopulations of picophytoplankton in two converging urban river environments of Portland, Oregon (USA): the Columbia and the Willamette Rivers. From September 2022 through July 2023, we took roughly bi-weekly surface water samples and used multi-laser flow cytometry to distinguish between photosynthetic cells based on their size and pigment fluorescence. We discovered seven …
Shrinkage Of Jupiter's Great Red Spot, Richard W. Schmude Jr.
Shrinkage Of Jupiter's Great Red Spot, Richard W. Schmude Jr.
Georgia Journal of Science
This report summarizes changes in Jupiter's Great Red Spot (GRS) on the multi-decade time scale. The mean shrinkage rates for 1960-2016 are 0.21 degrees/year (east-west) and 0.52 degrees/year (north-south). The east-west shrinkage rate is much higher than the corresponding value for Oval BA. Between 1878 and 2026, the GRS area shrunk by over a factor of four with a mean annual shrinkage rate of 1.0 %. The GRS quotient (east-west length in degrees longitude divided by north-south length in degrees latitude) has decreased. This is consistent with the GRS becoming more circular with time. This is different than Oval BA, …
Integrated Fire Protection Design In Pharmaceutical Manufacturing Facilities: An Applied Case Study, Eman Osman Mahmoud Osman, Fouad Abdel-Mawgoud Abdel-Halim Qasim, Alaa El-Din El-Sayed Farid Hassan
Integrated Fire Protection Design In Pharmaceutical Manufacturing Facilities: An Applied Case Study, Eman Osman Mahmoud Osman, Fouad Abdel-Mawgoud Abdel-Halim Qasim, Alaa El-Din El-Sayed Farid Hassan
HBRC Journal
The architectural design of pharmaceutical manufacturing facilities presents a complex engineering challenge, requiring simultaneous compliance with Good Manufacturing Practice (GMP) containment standards and life safety egress codes. This research presents an applied methodology for integrated fire protection design in sterile pharmaceutical environments, demonstrated through a case study of a manufacturing complex comprising cleanroom production zones and high-bay storage warehouses with heights reaching 14.8 m. The study reconciles facility classification under the Egyptian Fire Code and NFPA standards by defining Occupancy Hazard Groups W-1 and W-2 (high- and moderate-hazard storage), while utilizing regulatory Code Tables C-1 and C-2 to calculate occupant …
Dynamic Browser-Native Content Simplification And Contextual Injection Based On Historical Interaction And Localized Expertise Modeling, Abhay Prakash
Dynamic Browser-Native Content Simplification And Contextual Injection Based On Historical Interaction And Localized Expertise Modeling, Abhay Prakash
Defensive Publications Series
Browser-native content adaptation modifies web-page content represented in a Document Object Model (DOM) based on contextual information indicating a user’s familiarity with the subject matter of the content. A user expertise profile is generated from historical interaction data including browser history, searches, pages read, semantic exposure, frequency of encounters, dwell time, and viewport activity. Before or during rendering of a target page, terms, acronyms, sentences, images, and other content are evaluated against the profile and/or page context. Content determined to be unfamiliar to the user is adaptively modified by, for example, expanding acronyms, adding contextual explanations, simplifying language, or injecting …
A Cognitive Accessibility Framework For Mitigating Resumption Lag Using Transitional Context Lobbies, Rachit Mathur, Payal Shah
A Cognitive Accessibility Framework For Mitigating Resumption Lag Using Transitional Context Lobbies, Rachit Mathur, Payal Shah
Defensive Publications Series
This disclosure presents a cognitive accessibility framework designed to mitigate "resumption lag" and severe cognitive friction during task resumption in modern software ecosystems. While existing operating systems and web browsers facilitate context-switching away from tasks, they universally lack a mechanism to re-onboard users when they switch back, forcing users to manually reconstruct their working memory. To address this accessibility barrier, we introduce Transitional Context Lobbies—an additional strategic UI layer that re-orients users returning to suspended workspaces. The primary inventive step is a client-side engine utilizing Teleological Intent Parsing to translate a user's past behaviors, interactions, and browsing data into a …
Fully Anharmonic Infrared Spectra Of Neutral Polycyclic Aromatic Hydrocarbons With Up To 38 Carbons, Nolan J. H. White, Vincent J. Esposito, Christiaan Boersma, Louis J. Allamandola, Jesse D. Bregman, Alexandros Maragkoudakis, Pasquale Temi, Ryan Fortenberry
Fully Anharmonic Infrared Spectra Of Neutral Polycyclic Aromatic Hydrocarbons With Up To 38 Carbons, Nolan J. H. White, Vincent J. Esposito, Christiaan Boersma, Louis J. Allamandola, Jesse D. Bregman, Alexandros Maragkoudakis, Pasquale Temi, Ryan Fortenberry
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
Interstellar aromatic infrared band (AIB) spectra show agreement with presently computed anharmonic spectra for various types of polycyclic aromatic hydrocarbons (PAHs) determined using a novel semiempirical quantum chemical method. Since the AIB spectrum is a blend of emission spectra from a vast number of different PAHs, likely with an array of different molecular structures, the spectra for a sample set of 31 PAHs ranging in size from naphthalene (C10H8) up to circumbiphenyl (C38H16) are combined, giving consideration to almost all PAH structural motifs. The computed numerical quartic force fields coupled to second-order …
Re: Comment Letter For Butte Priority Soils Operable Unit (Bpsou) Draft 2025 Site-Wide Surface Water Monitoring Data Summary Report (Dated May 29, 2026), Emma Rott
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Quantum-Enhanced And Machine Learning Framework For High-Accuracy Fatigue Life Prediction And Structural Analysis Of Connecting Rod, P. H. J. Venkatesh, P. Seema Rani
Quantum-Enhanced And Machine Learning Framework For High-Accuracy Fatigue Life Prediction And Structural Analysis Of Connecting Rod, P. H. J. Venkatesh, P. Seema Rani
Babylonian Journal of Mechanical Engineering
The connecting rod is a critical mechanical component that transmits reciprocating motion from the piston to rotational motion in the crankshaft. Although connecting rods are traditionally manufactured from aluminum alloys, titanium alloys, or alloy steels, the demand for higher power-to-weight ratios has motivated the exploration of alternative materials supported by advanced computational validation methods. This study proposes a multilayer optimization framework for identifying the most suitable material for the connecting rod of a 110 cc four-stroke petrol engine. The component was modelled in Pro/ENGINEER, and high-fidelity Finite Element Analysis (FEA) was performed in ANSYS to evaluate the von Mises stress, …