Digital Commons Network^™

Revised Final Uniform Federal Policyquality Assurance Project Plan, Hydrogeologic, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Pilot Project 2025 Annual Update, Mark Thompson, Loren Burmeister

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Revised Final Uniform Federal Policy- Quality Assurance Project Plan, Hydrogeologic, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Revised Draft Final Reclamation Improvement Sites Field Sampling And Investigation Plan (Fsp): Bres No. 45 – Garfield Response To Agency Comments (Dated August 14, 2025), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft Final Bres No. 35 Del Monte Reclamation Improvement Sites Field Sampling (Fsp) (Dated August 14, 2025), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft Final Bres No.94 – Rialto Dump Reclamation Improvement (Ri) Field Sampling Plan (Fsp) (Dated August 21, 2025), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Blue Economy Policy Implementation And Its Ecological Implications In Tomini Bay, Abdul Wahab Podungge, Dwi Indah Yuliyani Solihin, Yulianty Adipu, Yanti Aneta

BISNIS & BIROKRASI: Jurnal Ilmu Administrasi dan Organisasi

Industrial and mining activities around Tomini Bay have significantly impacted marine ecosystems. This study aims to analyze the formulation process of the blue economy policy using an institutional approach, which includes the structure and process of decision-making, the role of key actors, and the impact of norms, rules, and regulations on the policy. In addition, this study evaluates the policy from a sustainable ecosystem perspective. Employing a qualitative approach combined with a research-action model, this study focuses on collaboration between researchers and stakeholders to identify problems, develop solutions, and implement practical changes. Findings reveal that the blue economy in Tomini …

Ai Exposure And The Future Of Work: Linking Task-Based Measures To U.S. Occupational Employment Projections, Erik Vasilauskas, Michael Horrigan

Reports

No abstract provided.

Lens: Lightweight And Explainable Llm-Based Apt Detection At The Edge For 6g Security, Suhib Bani Melhem, Muhammed Golec, Abdulmalik Alwarafy, Yaser Khamayseh

All Works

Expected to be deployed in the early 2030s, sixth-generation (6G) wireless networks, with their high speed and integration with cutting-edge technology such as intelligent edge computing, expand the attack surface and face serious cyber threat risks such as Advanced Persistent Threats (APTs). This type of cyber attack can imitate benign network traffic and operate for long periods of time without being detected by traditional detection systems. This paper introduces LENS, a lightweight and explainable LLM-based network security framework designed to address this cybersecurity threat for 6G environments. LENS uses a fine-tuned DistilBERT model to convert raw network streams into natural …

Trophic Niche Overlap Between Native And Alien Fish Species: A Challenge For The Aquatic Ecosystems, Rana Manzoor Ahmad, Abdul Majid Khan, Mariya Basharat, Muhammad Rizwan, Neelam Shahzadi, Muhammad Imran

Journal of Bioresource Management

The different physiological and biological challenges are introduced not only on land but also in aquatic ecosystems due to increasing climatic changes and human needs. One of these challenges is the introduction of invasive alien species to the native freshwater ichthyofauna. These species not only disturb the ecological balance of the native water bodies but can also be a vector for parasitic diseases. The current study is designed to disclose the trophic niche overlap among exotic (Cyprinus carpio and Oreochromis mozambicus) and indigenous fish species (Labeo calbasu and Cirrhinus mrigala) from Head Baloki (Ravi River), Punjab, …

Long-Acting Recombinant Il-7 (Rhil-7-Hyfc) Enhances The Primary And Memory Neoantigen-Specific Immune Response To Breast Cancer Personalized Cancer Vaccines, Michael Chen, Thomas Kane, Ina Chen, Suangson Supabphol, Xiuli Zhang, Alexandra A Wolfarth, Donghoon Choi, Lijin Li, S Peter Goedegebuure, William E Gillanders

2020-Current year OA Pubs

No abstract provided.

Development Of A Leucine-Rich Repeat-Containing Protein 15-Targeted Radio-Immunotheranostic Approach To Deplete Pro-Tumorigenic Mechanisms And Immunotherapy Resistance, Claire M Storey, Abbie Hasson, Diane Abou, Daniel Thorek, Et Al.

2020-Current year OA Pubs

Leucine-rich repeat containing 15 (LRRC15) has emerged as an attractive biomarker and target for cancer therapy. Transforming growth factor-β (TGFβ) induces the expression of this plasma membrane protein specifically in aggressive and treatment resistant tumor cells derived from mesenchymal stem cells, with minimal expression observed in non-neoplastic tissues. We have developed a humanized monoclonal antibody, DUNP19, that specifically binds with high affinity to a phylogenetically conserved LRRC15 epitope and is rapidly internalized upon LRRC15 binding. In multiple subcutaneous and orthotopic tumor xenograft mouse models, Lutetium-177 labeled DUNP19 ([

Biodiversity Performance Of Living Wall Systems In Temperate Urban Environments: Plant Selection And Substrate Effects On Multi-Taxa Communities: Biodiversity Performance Of Living Wall Systems In Urban Environments, Paul Lunt, Thomas Murphy, James Buckley

School of Geography, Earth and Environmental Sciences

Urban densification threatens biodiversity, yet conventional greenspace expansion is con-strained by limited land availability. Living wall systems (LWS) offer potential biodiversity enhancement through vertical green infrastructure, though their ecological value re-mains underexplored. This study evaluated the biodiversity performance of three LWS in Plymouth, UK, using multi-taxa surveys to assess invertebrate communities, bird assemblages, and bat activity. A scoping review of 2,638 publications revealed limited research on LWS biodiversity, with only 27% of biodiversity-focused papers referencing specific species. Field surveys employed standardized protocols including flower-visiting pollinator observations, spider assessments, soil invertebrate extraction using Tullgren funnels, acoustic bird monitoring, and bat emergence …

Engineered Exosomes With Krasg12d Specific Sirna In Pancreatic Cancer: A Phase I Study With Immunological Correlates, Valerie S Kalluri, Brandon G Smaglo, Krishnan K Mahadevan, Michelle L Kirtley, Kathleen M Mcandrews, Mayela Mendt, Sujuan Yang, Ana S Maldonado, Hikaru Sugimoto, Maria E Salvatierra, Luisa M Solis Soto, Cara Haymaker, Rick Finch, Mihai Gagea, Adam C Fluty, Steven J Ludtke, J Jack Lee, Abhinav K Jain, Gauri Varadhachary, Rachna T Shroff, Anirban Maitra, Elizabeth Shpall, Shubham Pant, Raghu Kalluri

Faculty, Staff and Students Publications

Oncogenic KRAS is amongst the key genetic drivers for initiation and maintenance of pancreatic ductal adenocarcinoma (PDAC). Here, we show that engineered exosomes with KrasG12D specific siRNA (iExoKrasG12D) reveal a biodistribution in pancreas with negligible toxicity in preclinical studies in mice and Rhesus macaques. Clinical testing of iExoKrasG12D in the iEXPLORE (iExoKrasG12D in Pancreatic Cancer) Phase I study employed a non-randomized single-arm classical 3 + 3 dose escalation design (Phase Ia), followed by an accelerated titration design (Phase Ib) (NCT03608631). The primary outcomes included safety, tolerability and target engagement, and the secondary outcomes aimed to assess disease control. …

Automated Video Production Workflow Using Textual Source Documents, Kumar Dhanagopal

Defensive Publications Series

This disclosure describes a multi-stage workflow to facilitate automated video production from textual source documents. A system may process source documents to generate a narrative audio track. This audio can then be analyzed by a computing system to produce a corresponding visual storyboard, for example, by identifying concepts and scenes. Based on information from this storyboard, generative tools may be used to create multimedia assets, such as graphics and video clips. The generated audio and visual components may then be assembled into a video. This integrated method provides a process for converting text to video that can potentially reduce manual …

Computer Control By Agentic Systems With World Models Of User Interfaces, Florian Hartmann, Victor Carbune

Defensive Publications Series

Computer control functionality refers to the capabilities of artificial intelligence (AI) agents that enable the agent to use a computer as a human does, e.g., by interacting with user interfaces via operations of input devices. For accurate task completion, it is important for the AI agent to reason about the task currently being performed and to determine what effects the actions it performs may have on the environment. This disclosure describes techniques that enable an AI agent to learn to estimate the reversibility of an action in a user interface (UI) and to use the reversibility estimate to adapt the …

Automatic Integration Of Temporal Context For Large Language Models, Na

Defensive Publications Series

Current LLMs struggle with real-time knowledge, tracking elapsed time, chronological context, and generating time-sensitive responses, leading to user burden and limited applicability in time-sensitive domains. This disclosures describes techniques for integrating real-time temporal context into large language model (LLM) processing of user queries, addressing their inherent lack of temporal awareness. The techniques described herein automatically obtain current time from a reliable time source as well as relevant temporal context such as conversation history between an LLM-powered chatbot and a user that provides a query. The time information together with the user query is provided to the LLM which can thereby …

Target Markets 2024–2030 For Ai Products, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of ChatGPT o3 and ChatGPT 5 Thinking, is released under the Apache 2.0 licence. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes: (art. L 611-11 CPI / art. 54(2) CBE), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (中华人民共和国专利法), and Japanese Patent Act Art. 29(1) (特許法). It consolidates 80 reproducible technical contributions across software, sensors, hardware, AI, protocols, materials, manufacturing, imaging, delivery, therapies, data/privacy, UX/workflows, supply chain and business processes. Each item is described in an enabling …

Large Language Model Embedding Graph For Content Recommendation And Discovery, Tamojit Chatterjee, Shravan Nayak

Defensive Publications Series

Existing content recommendation algorithms often do not effectively use structured information to make more informed decisions. This can limit the ability to discover similar content or to introduce sufficient diversity into recommendations. In addition, or in the alternative, current techniques for enhancing content recommendations may lack personalization, diversity, and transparency. These existing techniques may also present static sets of content items (e.g., content clusters) that may not adapt to real-time events. Also, content cluster labels may not clearly describe the underlying theme of the content items in the content cluster.

This disclosure describes technology for generating content recommendations using a …

Prediction Of Cash Flows: Selection Of A Sustainable Model, Arslan Qayyum, Aniqa Arslan, Muhammad Asadullah

Business Review

This study addresses the limited evidence on cash flow prediction in Pakistan by examining how aggregate and disaggregated accrual-based models forecast future cash flows of non-financial firms. Using 20 years of firm-level data and panel regression with lag structures, we compare five models under AIC, SIC, SSE, and PIC criteria. The results show that combining aggregated cash flows with disaggregated accruals provides the most accurate three-year forecasts. This finding extends prior work in Pakistan by offering a more sustainable prediction framework. The implications are significant for accounting regulators. It is also suggesting the adoption of enhanced reporting practices under IAS-7 …

Development Of A Career Awareness Board Game Based On Augmented Reality For Generation Z Students, Caraka Putra Bhakti, Difa Ardiyanti, Agus Ria Kumara, Muhammad Alfarizqi Nizamuddin Ghiffari

Buletin Konseling Inovatif

The purpose of this research is to develop an augmented reality-based career awareness board game for Generation Z students. The current development of the era demands that Generation Z have a good career. In reality, currently, there are still many Generation Z students in schools who do not have the skills, competencies, and awareness to have an optimal career. One important thing that Generation Z students need to have is career awareness. Having career awareness will help someone recognise their career needs based on their competencies, talents, and interests. Developing career awareness can be achieved through guidance and counselling services. …

The Deferential Asian American: Low Racial Status And The Invisibility Of Asian Americans In Leadership And The American Narrative, Reginald Oh

St. John's Law Review

(Excerpt)

This Article will proceed in five parts. First, an important caveat. When the Article refers to Asian Americans, it refers to all Asian American subgroups except for South Asian Americans, because South Asian Americans are not perceived to be deferential in the same way as other Asian American subgroups. Consequently, their experience with leadership is unique among Asian Americans, and much of the analysis in this Article does not apply to them.

With that caveat, Part I will discuss the invisibility of Asian Americans generally, but particularly in leadership positions. Part II will discuss the concept of social status …

Vestigial Fiscal Constitutions, Joe Schomberg

St. John's Law Review

(Excerpt)

This Article examines the history and original intent of fiscal constitutions in the United States, providing helpful context for their usefulness today. It argues that, due to the rigidity of states’ fiscal constitutions, they are ultimately ineffective at preventing state and local governments from incurring more and more debt. Ultimately, it suggests that the weakness of state fiscal constitutions is a result of their functionality being overtaken by increased efficiencies in the capital markets and Tiebout-Tullock markets. Our state fiscal constitutions have suffered the same fate as our wisdom teeth or appendixes—they have become less useful and less relied …

Upland Switchgrass Cultivars Have Similar Bioethanol Production Profile Under Separate Hydrolysis And Fermentation: A Course Based Undergraduate Research Experience (Cure) In Biofuel Production, Kadyn Berg, Derek Follett, Adelyn Jackson, Mark Kalyegira, Jaleigha Kambeitz, Nathaniel Lanthier, Elaina Merfeld, Nathan Nelson, Sara Parliament, Peyton Plagman, Thomas Poegel, Alex Schemek, Sajan Mathew, Brady Steffen, Chloe Van Heuveln, Keerthi Mandyam, Arvid Boe, Ananda K. Nanjundaswamy

RURALS: Review of Undergraduate Research in Agricultural and Life Sciences

The modified Course-Based Undergraduate Research Experience (CURE) in bioenergy research evaluated four upland switchgrass cultivars namely Carthage, NE2010, RC Sundance, and Sunburst for bioethanol production using a separate hydrolysis and fermentation (SHF) process. The cultivars were not different in their biomass composition, sugar and ethanol yields. Carthage produced the highest ethanol yield (10 g/L), followed by Sunburst (9 g/L). A strong correlation was observed between glucose concentration at 48 hours (maximum glucose release) and ethanol yield at 72 hours. Ethanol production increased after 48 hours, and by 72 hours, residual glucose levels in the fermentation medium were negligible. The fermentation …

The Algorithmic Public Sphere: Ai-Generated News Site As A Conduit To Social Capital, Seungahn Nah, Xinlei Wu, Ernest Makata, Jun Luo, Ian Koratsky, David Park, Seungbae Kim

Human-Machine Communication

A growing body of scholarship on AI-generated news has examined its impact on various outcomes. However, less attention has been paid to the actual implementation of AI-generated news sites and their effectiveness on civic consequences. This study examines the effects of an AI-generated, community-centered, nonprofit news site on civic outcomes such as trust in nonprofit organizations, trust in AI-generated news, social capital, and civic engagement. Data was collected from participants at a large southeastern university who visited the AI-generated news site over a four-week period and responded to a series of open-ended questions weekly. A total of 721 open-ended responses …

Disentangling (Hybrid) Trustworthiness Of Communicative Generative Ai As Intermediary For Science-Related Information—Results From A Qualitative Interview Study, Evelyn Jonas, Esther Greussing, Monika Taddicken

Human-Machine Communication

The increasing prevalence of communicative Generative AI, such as ChatGPT, highlights their transformative potential for science communication while raising critical questions about users’ trust in these systems conveying science-related information. As perceptual hybrids these agents challenge traditional notions of trustworthiness, and it remains unclear to whom or what users refer to as the object of trust. This qualitative interview study integrates dimensions from human-machine and epistemic trustworthiness within a hybrid framework, complemented by a descriptive source orientation model. It highlights that trustworthiness assessments can extend beyond a chatbot’s interface, emphasizing the perceived salience of its underlying infrastructure, developers, and organizations. …

Generative Artificial Intelligence And Collaboration: Exploring Religious Human-Machine Communication And Tensions In Leadership Practices, Pauline Hope Cheong, Liming Liu

Human-Machine Communication

The adoption of generative artificial intelligence (GAI) applications has bolstered efforts toward human-machine collaboration. Given the lag in research on AI and religion, this study examines how pastors engage GAI to develop religious human-machine communication practices that constitute their leadership. Findings from in-depth interviews with pastors in the U.S. reveal that they view GAI as an idea generator, research assistant, co-author and translator. Clergy enact multiple ways to incorporate GAI communication in religious education and to enhance sermonic performances. Concurrently, pastors perceive tensions between innovation and established rites, as they contend with the authenticity and spiritual depth of GAI content …

Tools Or Teammates? Examining Agency Negotiation In Human-Genai Collaboration In Creative Work, Yuan Sun, Ignacio Fernandez Cruz, Donggyu Kim

Human-Machine Communication

As Generative AI (GenAI) becomes increasingly integrated into creative work, creative professionals face an emerging dilemma: while they can leverage powerful AI capabilities through prompts, the automated process also introduces uncertainties and risks. This study, based on semi-structured interviews with 18 creative professionals, explores their experiences and perceptions of using GenAI tools in creative work. The findings revealed that GenAI’s perceived adaptability, creativity, and scalability enhanced sense of agency in the creative process. Conversely, limitations in customizability, uncertainty, and feedback mechanisms undermined human agency. These perceptions were influenced by users’ conceptualization of GenAI—as either a simple tool or a collaborative …

Investigating The Persuasive Potential Of Communicating With Generative Artificial Intelligence Chatbots For Mental Health: The Roles Of Perceived Message Contingency, Cognitive Elaboration, And Issue Involvement, Hanyoung Kim, Yanyun (Mia) Wang

Human-Machine Communication

With the ever-increasing adoption of generative artificial intelligence (GenAI) chatbots in diverse communication roles, there is a burgeoning need to address how people process and respond to messages from these technologies. This study explores the theoretical mechanisms by which the use of GenAI chatbots influences persuasive outcomes related to mental health, examining perceived message contingency and cognitive elaboration as mediators, and issue involvement as a moderator between the two mediators. Through an experimental setting using ChatGPT, compared to non-conversational online resources, we discovered that GenAI chatbot use led to greater cognitive elaboration through an increased sense of message contingency, leading …

Generative Ai In Higher Education: A Comparative Study Of Chatgpt Adoption, Perception, And Use Among College Students In The Global North And Global South, Shudipta Sharma, Louisa Ha

Human-Machine Communication

Generative AI tools like ChatGPT have become the fastest-adopted technology, raising concerns about its misuse in education. This study explores ChatGPT usage for class assignments among 646 college students in the U.S. and Bangladesh, focusing on their perceptions and trust in the tool. Using the technology acceptance model, along with internet efficacy and social persuasion theories, we found that students in both countries had high levels of awareness and adoption. Individual factors did not significantly influence ChatGPT usage, while social persuasion, perceived usefulness, perceived ease of use, and country were the strongest predictors. The findings suggest that AI technology may …