Digital Commons Network^™

Forestry, A Valuable Crop For The Pastoral Farmer, N M. Shadbolt

IGC Proceedings (1977-2023)

The integration of forestry into a pastoral system (sheep & beef cattle) will be discussed with respect to the economic sustainability of the system. The cash flow implications for a case study farm of forest development, and methods used through forestry right agreements to facilitate these by reducing risk, will be developed.

The Effects Of Tree Density On Pasture Production Under Acacia Melanoxylon, B S. Thorrold, I L. Power, M B. Dodd

IGC Proceedings (1977-2023)

Silvi-pastoral systems could contribute to greater total productivity and more sustainable land management of grazed pastures in New Zealand. Despite this potential, little is known of the interactions of tree species and environment on pasture growth. In this paper we report the effects of tree density on pasture yield in an Acacia melanoxylon silvi-pastoral system. The results show decreasing pasture yield with increasing tree density, although the extent of the reduction is less than would be expected under Pinus radiata. Results suggest that shade is the dominant factor causing yield decline in this study, while reduced N availability is …

Long-Term Impact Of Leucaena-Based Grazing Systems On Soil Acidity, A D. Noble, R J. Jones

IGC Proceedings (1977-2023)

Soil acidification and land degradation issues are assuming increasing importance in Australia and challenging the concept of sustainablity of current land management systems. In this study the impact of a 22 year old Leucaena leucocephala / Urochloa mosambicensis (Leucaena) pasture production system on soil acidification and selected soil chemical properties was compared to an adjacent Urochloa mosambicensis (Sabi) area. Significant acidification and cation depletion was observed to 70 cm under the Leucaena when compared to the Sabi system. The net acidification rate for the Leucaena system was estimated to be 2.73 kmol H+ ha-1 yr-1 of which 0.17 kmol …

Farmers' Screening Of Indigenous Fodder Trees And Shrubs In Kenya, R L. Roothaert, H K. Arimi, E N. Kamau

IGC Proceedings (1977-2023)

The lack of fodder quantity and quality is a constraint for small scale livestock production systems in central Kenya which are intensive or are rapidly becoming so. This study examined farmers’ knowledge about indigenous fodder trees and shrubs (IFTS) which are fed to livestock. The study consisted of a formal survey in three agroecological zones with mean annual rainfall varying from 750 to 1400 mm. Farmers rated IFTS for different qualities, which were analysed by Chi square. Differences of ratings among species for these qualities were significant (p<0.05). The most promising species for the sub-humid zone, in terms of what farmers want to plant and in terms of preliminary nutritive analysis, were: Tithonia diversifolia, Commiphora zimmermanii, Ficus spp. and Trema orientalis. The species …

2024-03-01, Board Of Regents, Murray State University

Board of Regents Meeting Minutes

No abstract provided.

Hybrid Sparse-Dense Embedding Search, Eric Stavarache, Felix Weissenberger

Defensive Publications Series

This disclosure describes techniques of information retrieval from text-based corpuses by combining dense and sparse embeddings into a single, composite, dense embedding. Documents from the corpus most relevant to a user query can be found by using the composite dense embedding to natively run nearest-neighbor searches using existing tools. The techniques retain information from both sparse and dense embeddings and provide a straightforward, mathematically sound way of combining them. The composite dense embedding, when used in retrieving information in response to a user query, performs well even when the query includes a proper name or a rare term, and can …

Sharing Stories Of Development: How School Leaders Perceive Developing A Trauma-Informed School, Mandy L. Cyr

Doctor of Education Program Dissertations

ABSTRACT

This narrative inquiry explored how educational leaders perceive the development of a trauma-informed school. A trauma-informed school acknowledges the impact of trauma and responds by integrating effective practices, programs, and procedures to build resilience. The problem addressed by this study is, with rising numbers of adverse childhood experiences (ACEs), school staff lack targeted skills to help students mitigate trauma. Further, this qualitative study fills the gap in literature by providing the lived experiences of educational leaders in developing trauma-informed schools. Through narrative research, semistructured interviews which lasted up to 60 minutes were individually conducted with five educational leaders who …

Considerations For The Use Of Porcine Organ Donation Models In Preclinical Organ Donor Intervention Research, Frazer I. Heinis, Shaheed Merani, Nicholas W. Markin, Kim F. Duncan, Michael J. Moulton, Lance Fristoe, William E. Thorell, Raechel A. Sherrick, Tami R. Wells, Matthew T. Andrews, Marian Urban

School of Natural Resources: Faculty Publications

Use of animal models in preclinical transplant research is essential to the optimization of human allografts for clinical transplantation. Animal models of organ donation and preservation help to advance and improve technical elements of solid organ recovery and facilitate research of ischemia–reperfusion injury, organ preservation strategies, and future donor-based interventions. Important considerations include cost, public opinion regarding the conduct of animal research, translational value, and relevance of the animal model for clinical practice. We present an overview of two porcine models of organ donation: donation following brain death (DBD) and donation following circulatory death (DCD). The cardiovascular anatomy and physiology …

Unraveling Biases And Customer Heterogeneity In E-Commerce Recommendation Systems, Sachin Sharma

Dissertations

This research explores the biases present in AI algorithms within e-commerce recommendation systems, focusing on how these biases prioritize popular, sponsored, and private-label products over actual customer preferences. We extend the responsible AI discourse by critically examining these biases and their implications for fairness in e-commerce. To strengthen the current understanding of AI fairness in the fields of information systems and computer science, we aim to challenge the assumption that AI fairness is objective and the same for everyone. We examine how individual differences, such as equity sensitivity and exchange ideology, contribute to users' varied perceptions of AI fairness. Through …

How Should We Think About Creativity (In The New Paradigm?) -, Strutts Psyridis

Staff Scholarship - Australia & Dubai

This presentation reframes creativity in the AI era, arguing that educators should shift from tool-focused concerns to deeper questions of meaning, pedagogy, and cultural change. It traces evolving models of creativity and advocates balancing technological collaboration with embodied, human-centred creative practice.

Miss Gardner-Webb Pageant On March 24 To Feature Nine Contestants, Office Of University Communications, Isabella Brown

Gardner-Webb NewsCenter Archive

The Miss Gardner-Webb Pageant will be held on Sunday, March 24, at 3 p.m. in Dover Theatre. Nine contestants have practiced enthusiastically for an opportunity to shine bright and show what makes them unique. From beautiful dresses to bold talents, these contestants plan to give the judges their best.

Divergent Detection: A Comprehensive Study Of Dgas Using Fnns For Original, Noise-Modified, And Linear Recursive Sequences(Lrs), Anthony Rizi

Masters Theses & Doctoral Dissertations

This comprehensive research endeavors to address a pressing issue within the realm of cybersecurity—the challenge posed by malicious activities utilizing Domain Generation Algorithms (DGAs). These algorithms, numbering at least 84 traditional malware families as of late 2023, dynamically generate domain names to facilitate nefarious operations while evading conventional detection mechanisms. The study generated over 159,750 domains and studied more than 1.27 million data points. Existing studies have predominantly focused on surface-level aspects of DGAs, including domain lengths, alphanumeric values, and top-level domains (TLDs). In response to this challenge, the research question at the core of this study aims to investigate …

Supporting Neurodivergent Students With Dyslexia, Dyscalculia, Dysgraphia, And Dyspraxia, Liz Norell

Events

In this follow-up to last fall’s workshop on supporting neurodivergent students, we will turn our attention to four additional neurodivergent types: dyslexia (challenges interpreting text), dyscalculia (challenges working with numbers), dysgraphia (challenges writing text), and dyspraxia (challenges with physical coordination). We will describe each of these neurodivergent types, discuss what each might look like in the classroom, and explore potential accommodations and strategies to promote student success. Lunch from Grit. (Wednesday, March 20, 2024, 12:00-1:00 p.m., Johnson Commons East Ballroom)

Sustainability And Careers In The 21st Century, Phyllis J. Schoen, Amanda Baker

Sustainability Research & Practice Seminar Presentations

Phyllis Schoen and Amanda Baker of the West Chester University Career Center present on "Sustainability and Careers in the 21st Century."

Algorithmic Harms In Child Welfare: Uncertainties In Practice, Organization, And Street-Level Decision-Making, Devansh Saxena, Shion Guha

Health Services and Informatics Research

Algorithms in public services such as child welfare, criminal justice, and education are increasingly being used to make high-stakes decisions about human lives. Drawing upon findings from a two-year ethnography conducted at a child welfare agency, we highlight how algorithmic systems are embedded within a complex decision-making ecosystem at critical points of the child welfare process. Caseworkers interact with algo rithms in their daily lives where they must collect information about families and feed it to algorithms to make critical decisions. We show how the interplay between systemic mechanics and algorithmic decision making can adversely impact the fairness of the …

Potential Metabolite Biomarkers Of Multiple Sclerosis From Multiple Biofluids, Fatema Bhinderwala, Heidi E. Roth, Mary Filipi, Samantha Jack, Robert Powers

Robert Powers Publications

Multiple sclerosis (MS) is a chronic and progressive neurological disorder without a cure, but early intervention can slow disease progression and improve the quality of life for MS patients. Obtaining an accurate diagnosis for MS is an arduous and error-prone task that requires a combination of a detailed medical history, a comprehensive neurological exam, clinical tests such as magnetic resonance imaging, and the exclusion of other possible diseases. A simple and definitive biofluid test for MS does not exist but is highly desirable. To address this need, we have employed NMR-based metabolomics to identify potentially unique metabolite biomarkers of MS …

Distribution Fitting And Anova Test To Analyze Pavement Sensing Patterns For Condition Assessments, Dada Zhang, Chun-Hsing Ho

Durham School of Architectural Engineering and Construction: Faculty Publications

Purpose – The purpose of this paper is to investigate the vehicle-based sensor effect and pavement temperature on road condition assessment, as well as to compute a threshold value for the classification of pavement conditions.

Design/methodology/approach – Four sensors were placed on the vehicle’s control arms and one inside the vehicle to collect vibration acceleration data for analysis. The Analysis of Variance (ANOVA) tests were performed to diagnose the effect of the vehicle-based sensors’ placement in the field. To classify road conditions and identify pavement distress (point of interest), the probability distribution was applied based on the magnitude values of …

N-H Nhc Palladium Catalysts Derived From Unique 2-Phosphinoimidazole Precursors For C-C Cross Coupling Reactions And Application Of Slow Releasing Polymers Impregnated With Gibberellic Acid To Overcome Seed Dormancy For Land Reclamation, Alexandra Jean Setelin Larson

Theses and Dissertations

Organometallic chemistry is highly dependent upon the ligands which are employed on a metal's surface. These ligands control steric bulk and electronics of the metal center which can change the reactivity of the organometallic complex. Ligands that are standard in organometallic chemistry include phosphine ligands. These phosphine ligands have been utilized in the field since the 1960's and have shaped the development of many key organometallic catalysts. Phosphine ligands are easily functionalized and highly reactive. This increased reactivity, however, causes severe limitations as phosphine ligands are often unstable under standard benchtop conditions and must be handled both air and moisture …

Lindenwood Digest, March 20, 2024, Lindenwood University

Lindenwood Digest

The Lindenwood Digest has been a digital employee newsletter since 2009.

Intersectionalities Of Systematic Barriers Set Upon Underrepresented Students In Stem: Capturing The Potential Benefits Of Online Modality, Raiyasha Aiyanna Paris

University Honors Theses

The prevalence of racism and microaggressions in STEM disciplines within colleges presents significant hurdles to the academic success and well-being of underrepresented students. Microaggressions, encompassing subtle biases and stereotyping, have a cumulative impact, inducing heightened stress, diminished motivation, and reduced self-efficacy among minority students, thereby impeding cognitive functioning and hindering academic progress (Ogunyemi et al., 2020). The existence of these negative emotional responses creates a less conducive learning environment for academic achievement. Additionally, structural inequalities within STEM institutions contribute to disparities in resource access, limited mentorship opportunities, and support networks crucial for success in STEM fields (Atkins et al., 2020). …

Will Saf Turbocharge The Corn Ethanol Market?, Richard K. Perrin, Lilyan E. Fulginiti, Felipe Miranda De Souza Almeida

Cornhusker Economics

The long-run outlook for the corn ethanol industry is questionable, due to a transition to electric and hybrid vehicles. One source of hope for the long run is the potential demand for producing Sustainable Aviation Fuel (SAF). SAF is a key component in the United States Aviation Climate Action Plan, a path to net-zero greenhouse gas (GHG) emissions in the aviation industry by 2050. Demand for ethanol for SAF offers hope to the ethanol industry, but it depends a great deal on policy decisions that are being made now. Here we sketch out this story.

Based on the information available …

Challenges On Public Security System In Ai Era—Preface For Special Column “Artificial Intelligence And Public Security”, Juan Cao, Qiang Sheng, Guojie Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

The rapid development of artificial intelligence generated content (AIGC) technology has triggered new public security risks, posing a serious threat to national security and social stability. This study exhibits the recent advances of artificial intelligence (AI) content generation and detection techniques, points out the challenges of detection techniques in real-world scenarios, and advocates that it is necessary to develop AIGC detection technology for public security needs and build a whole-process detection technology system from generative models to online platforms, which supports AIGC to be labeled at the generation phase, identifiable during dissemination and source-traceable after the incident occurs.

Research On Artificial Intelligence Crime And China’S Countermeasures, Jianxin Gao, Jinping Sun, Yukun Cai, Chongpeng Wang, Yanyan Yang, Kaiyue Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The rapid development of artificial intelligence technology has constantly given rise to new scenarios, models, and markets, changing the way information and knowledge are generated. Nevertheless, the security risks exposed by technology, such as algorithm bias, data leakage, false content generation, and improper use, are also prone to trigger various new types of crimes. There are still loopholes in legal regulation and technological prevention under the current situation, which poses severe challenges to crime crackdown. In order to effectively meet the new challenges of China’s artificial intelligence (AI) crime, we should supplement and improve the existing legal norms, improve the …

Intelligent Algorithm Safety: Concepts, Scientific Problems And Prospects, Xueqi Cheng, Wei Chen, Huawei Shen, Shiguang Shan, Xilin Chen, Guojie Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

Intelligent algorithms refer to the methods embodied in the computational processes that realize intelligence. These methods are often characterized by being data-driven, involving uncertain computations, and with unexplainable model inferences. These characteristics simultaneously introduce potential safety risks to the application of intelligent algorithms and AI. This study firstly explores the concepts of intelligent algorithm safety. Specifically, intelligent algorithm safety, based on the degree of human-machine integration, extends from the univariate safety of the algorithm itself to the bivariate applicational safety when the algorithm serves humans, and finally evolves into the multivariate systemic safety arises within complex socio-technical systems of human-machine …

Embodied Artificial Intelligence Security And Governance, Wenyuan Xu, Xiaoyu Ji, Chen Yan, Yushi Cheng

Bulletin of Chinese Academy of Sciences (Chinese Version)

Embodied artificial intelligence (EAI) is progressively integrated into the fabric of our daily lives, enhancing various sectors such as industrial production, healthcare, and national defense. Nevertheless, the diverse range of hardware devices, software algorithms, and data communications that constitute these complex systems may contain vulnerabilities that could be exploited by attackers, posing a serious threat to personal, social, and national security. Thus, this study examines the security implications and proposes a security framework of EAI, from the perspectives of the information domain, physical domain, and social domain, focusing on its ontological security, interaction security, and application security. To mitigate these …

Editorials For Spencial Topic “Scientific Focus: Open Source Innovation And Open Source Paradigm”

Bulletin of Chinese Academy of Sciences (Chinese Version)

No abstract provided.

Open Source In China: Opportunities In New Era, Qigang Zhu, Guofeng Zhang, Caihua Zhu, Yi Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

China has rapidly experienced industrialization and informatization, entering the era of digital economy. The combination of new productive forces represented by artificial intelligence, non-exclusive production factors represented by knowledge, and open source related relationships may form a new model. From the perspective of social practices of open source innovation, open source lacks systematic preparedness at theoretical, institutional, and talent levels. China should seize the historical opportunity to complete theoretical updates and cultural reconstruction those are adapted to it. Open source and openness also have conditions for China to create a global paradigm of cooperation, sharing, and innovation in the digital …

Thoughts On Ai Innovation And Open Source Development: Lessons From Deepseek, Yanjun Wu

Bulletin of Chinese Academy of Sciences (Chinese Version)

At a critical moment of intense competition in the artificial intelligence (AI) field, DeepSeek has released foundational large language models (LLM) such as V3/R1, with performance comparable to leading international organizations like OpenAI. This not only demonstrates China’s technological innovation capabilities in AI but also provides a Chinese innovative pathway for global AI development. Firstly, through low-cost training and inference, break the monopolistic barriers of high-end computing power and lower research and development thresholds. Secondly, through full-stack and comprehensive open-source strategies, support customizable and local deployment that benefits various industries. This technological innovation and open-source practice from DeepSeek deserves in-depth …

Suggestions On Building China’S Artificial Intelligence Open Source Innovation Ecosystem, Yuntao Long, Haibo Liu, Zheping Xu, Yungang Bao, Yanjun Wu

Bulletin of Chinese Academy of Sciences (Chinese Version)

With the release and application of open-source large language models (LLMs) represented by DeepSeek, open-source innovation has played an increasingly important role in the rapid development of global artificial intelligence (AI) technology. Through technological innovation, cost reduction, performance improvement, and application demonstration, DeepSeek has opened up a disruptive innovation path and improved the research and application level of AI in China and its international influence. In order to further promote the construction of China’s AI open source innovation ecosystem and promote the continuous innovation and iteration of AI technology, this study analyzes the outstanding problems in China’s AI innovation ecosystem …

Discussion On Open-Source And Closed-Source Technology Models In Era Of Artificial Intelligence, Xiaolong Zheng, Jiatong Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

This article presents the advantages and disadvantages of open-source and closed-source models in technology innovation and ecosystem construction in the era of artificial intelligence. We explore some current cutting-edge controversies between the two technology models, and puts forward some basic ideas for breaking the deadlock, which can provide some significant insights into promoting the healthy development of artificial intelligence technologies.