Digital Commons Network^™

The Grassland Of Africa: Classification, Production Evolution And Development Outlook, H N. Le Houerou

IGC Proceedings (1977-2023)

Grasslands in the broader meaning, i.e. grazing lands, occupy huge areas in Africa, prob­ably in the vicinity of 10 million km2 (1000 million hectares), of which some 800 million hectares of permanent pastures and 200 mil­lion hectares of grazed woodland and open forest. There are also some 210 million hectares of crops and fallows most of which are grazed for part of the annual cycle. These African grasslands thus represent 7.5 % of the world's total land surface and 1/3 of its total acreage of grassland; they also corre­spond to 33 % of the surface of the continent, the remainder …

Pasture Possibilities In The Tropics, Fernando Perez Infante

IGC Proceedings (1977-2023)

Frnm an academic viewpoint, only biological aspects of pasture possibilities in the Tropics are considered in this paper. In spite of being an important . part of these possibilities, no mention would be made of a fundamental aspect, i.e. the one related to the people living in the Tropics and the ways in which they could make use of the potentials offered by their pastures to improve their living conditions. Thus when we come to consider "possibilities", it is not only a question of solving technical problems, but there are also economic and cultural factors which must be kept in …

Management Of Arid Pastures, Cyrus M. Mckell, Don D. Dwyer

IGC Proceedings (1977-2023)

Arid pasture, natural grazing land, or rangeland are synonymous terms used to describe the extensive areas of open, non-cultivated arid lands over which domestic livestock and wildlife roam in search of feed. These lands are characteristically low in productivity and if managed, the level of management is extensive and based on ecological principles. The term rangeland originated in the United States of America and is gradually gaining usage in other countries to differentiate between intensively managed pastures of humid and sub-humid regions, and the open steppes, deserts, shrub­lands and dry non-commercial forested lands which, in addition to grazing, provide non­consumptive …

New Objectives And Modern Methods Of Forage Grass Breeding In The German Democratic Republic, Heinrich Baudis

IGC Proceedings (1977-2023)

The objectives of forage grass breeding in the GDR are derived from the social development processes which, in socialist agriculture, find their expression in further intensification, concentration and spezialization of plant and animal production. New aspects which have been recognized only recently, for example, positive response to intensification measures, suitability for industrialized production me­thods, increased yield stability and improved quality in addition to a higher yielding poten­tial, have the decisive say in the breeding tar­gets. The most important traits and properties from the breeder's point of view are dealt with in detail. Explanations on practical breeding work and on some …

Possibilities Of Dry Matter Production From Forage Plants Under Different Climatic Conditions, Th Alberda

IGC Proceedings (1977-2023)

On the basis of the gross photosynthesis of closed green grass swards the net potential dry herbage production of permanent pastures is calculated for the climatic and soil conditions for the so-called broad soil regions and summa­rized per continent. The values thus obtained form the upper level of dry herbage production to be reached on the prevailing permanent pas­ture area. Subsequently the minimum level of dry herb­age production is calculated, based on data on the production of marketed secondary prod­ucts as meat and milk. Since not all these secondary products are marketed and since not all the herbage produced is …

The Gene Pool And Its Use In Breeding Grassland Plants, Anna Novoselova

IGC Proceedings (1977-2023)

1. The gene pool of grassland plants is of great diversity and localized in certain centres of origin where the carriers of germ plasma are concentrated for the most important bio­logical characters and properties of a great variability of species.

2. New intensive varieties for mowing and grazing have been bred by advanced breeding methods and by taking advantage of the gene pool of the most important plant species throughout the world.

3. Wild-growing species were found to have great prospects for opening up soils of poor productivity by mowing and grazing use. They constitute a great reserve of genetic …

The Environment And Population Differences In Anjan Grass (Cenchrus Ciliaris) In Western India, S C. Pandeya

IGC Proceedings (1977-2023)

Cenchrus ciliaris (anjan or buffel grass) is a gregarious fodder species with high nutritive value. The species is an inhabitant of drier sandy areas throughout Africa, Canary Island, Madagascar and eastwards to India, where it mostly occurs in western parts of the country, constituting the States of Gujarat, Rajasthan, Hayana and the adjoining portions of Punjab, U ttar Pradesh and Madhya Pradesh ( called here in as Western India). In Western India, Cen­chrus ciliaris (Cc) variously dominates the nat­urally occurring grazing lands exhibiting great morphological variations with respect to habit. and spike characters. The ecoclimate of Western India is arid …

Review Of 50 Years Grassland Farming And Trends Of Development In The Further Intensification Of Forage Production In The German Democratic Republic, Eberhard Wojahn

IGC Proceedings (1977-2023)

This our XIII International Grassland Congress is being held at the invitation of the Govern­ment of the German Democratic Republic following the decision of the XII International Grassland Congress in Moscow in 1974 that this Congress shall be held as a jubilee event here in Leipzig. It is the Jubilee Congress reminding us of the First International Grass­land Congress which was held 50 years ago, during the last days of May, 1927, in this time-honoured University town and centre of world trade. Because of that jubilee character this XIII International Grassland Congress is of very special importance.

Influence Of Feeding On Health And Productivity Of Ruminants, Alexander Sommer

IGC Proceedings (1977-2023)

As to the utilization of plant matter not suited for direct consumption by man, ruminants are of outstanding importance. This fact is related with the function of their specific stom­ach system. The paper discusses the microbial protein synthesis from NPN compounds. When 50 per cent of digestible crude protein required by fattening cattle were replaced, daily live weight gains of 997 g were reached; beef quality was not affected. Similarly favourable results were obtained with dairy cows when replacing by NPN compounds 50 to 100 per cent of extracted meals. Further on, the problem of crude-fibre diges­tion in connection with …

Technical Disclosure: The Urban Biosphere Ziggurat (Ubz), Affordable Housing And Urban Planning, Christopher L. Eckes

Defensive Publications Series

Current high-density urban housing models in the United States routinely fail because they optimize strictly for initial cost-per-square-foot, resulting in double-loaded corridor containment layouts that restrict natural light, induce community stagnation, and induce severe benefit "cliff effects" on upwardly mobile residents. The Urban Biosphere Ziggurat (UBZ) framework resolves this systemic crisis by decoupling high-tech, factory-precise structural engineering from regional, artistic architectural cladding. This disclosure outlines a scalable, non-speculative structural chassis integrated into a Community Land Trust (CLT) and Limited-Equity Housing Cooperative (LEHC) [1.5] governance ecosystem, permanently divesting real estate from predatory international speculation. [1]

To maximize municipal feasibility …

A Differential Equation–Based Epidemiological Model Of Post-Operative Chronic Pain In Scoliosis Patients With Data-Driven Analysis, Paige Zhu, Padmanabhan Seshaiyer

CODEE Journal

Chronic post-surgical pain (CPSP) is a common and often overlooked complication following surgical correction of idiopathic scoliosis, impacting long-term patient wellbeing despite improvements in surgical outcomes. This project introduces a novel epidemiological framework to model the progression of CPSP using a compartmental structure. By applying a coupled system of nonlinear differential equations, we simulate pain trajectories over time and assess the effectiveness of surgical interventions. The model is implemented for a single-cohort population and extended to a two-cohort design to compare outcomes between Posterior Spinal Fusion (PSIF) and Vertebral Body Tethering (VBT) procedures. Further stratification by patient age enables us …

Parental Participation And Engagement In North Carolina Medicaid Enhanced Mental Health Services For Children And Adolescents, Jonathan Andrew Traylor

Walden Dissertations and Doctoral Studies

Parental participation and engagement (PPE) are positively associated with improved treatment outcomes for children receiving mental health services; however, parental involvement remains inconsistent among culturally diverse and economically disadvantaged families served through North Carolina Medicaid enhanced mental health services. Barriers to communication, collaboration, and sustained engagement may limit parents’ active participation in treatment planning and service delivery. The purpose of this basic qualitative study was to explore PPE among culturally diverse and economically disadvantaged parents whose children received North Carolina Medicaid enhanced mental health services. The ecological perspective of human development constituted the theoretical framework for this study. Data were …

Implications Of Weather Variability On Corn Yield In The U.S., Gideon Ayettey

LSU Master's Theses

Climate variability is a major source of risk to U.S. crop production, disrupting planting schedules and threatening yields. While prior research has explored the implications of weather shocks on crop yields, this study investigates the indirect channel via which weather variability impacts corn yield through planting delays in the U.S. Previous research has shown that U.S. corn production is highly vulnerable to short-term climate variability (Hu & Buyanovsky, 2003). We use county-level data from 2015 to 2024 for the top five corn-producing states and use a 2-stage least squares method to measure the effect. However, in our specification, planting day …

P-Value Visualizer, Manish Rami

Software

An interactive tool demonstrating what a user set p-value indicates with regards to probability.

Effect Size & Distributional Overlap Visualizer, Manish Rami

Software

An interactive tool comparing a control group and a treatment group, both with standard scores (M = 100, SD = 15). Cohen's d is expressed in standard deviation units. The three shaded regions show what each group's distribution looks like and how much they overlap. You can either use the preset buttons for effect sizes (SLP benchmarks) or the slider to change the values of Cohen's d to examine the distributions.

Comprehensive Study On Explainable Artificial Intelligence For Enhanced Decision-Making, Eman Taher, Wessam H. El-Behaidy, Doaa S. Elzanfaly

Computer Science

Artificial Intelligence (AI) models are often criticized for their black-box nature, particularly in high-stakes domains such as finance, healthcare, and business decision-making, where transparency, accountability, and trust are essential. As machine learning advances with more complex architectures, including deep neural networks and ensemble models, the need for explainability becomes increasingly critical. This study focuses on Explainable Artificial Intelligence (XAI) as a key approach to enhance interpretability in classification, regression, and clustering tasks that serve as the foundation of data-driven analytical systems. XAI methods such as SHAP (SHapley Additive exPlanations), LIME (Local Interpretable Model-agnostic Explanations), and Integrated Gradients provide a means …

Oregon State Rank Assessment For Mt. Hood Bugbane (Actaea Laciniata), Nora Dunkirk

Institute for Natural Resources Publications

Oregon state conservation status assessment for Mt. Hood Bugbane (Actaea laciniata) using NatureServe methodology, 2026.

2026 July 2 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

Final Basinwide Quality Management Plan (Qmp) – 2026-2030, Revision 0, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Human Cancer Genomes Harbor The Mutational Signature Of Tobacco-Specific Nitrosamines Nnn And Nnk, Michael Korenjak, Nuri Alpay Temiz, Stéphane Keita, Bérénice Chavanel, Claire Renard, Cécilia Sirand, Jiehong Guo, Et Al.

Michigan Tech Publications

BACKGROUND: Tobacco use is linked to multiple cancer types and a quarter of cancer deaths. Tobacco smoke contains numerous mutagenic chemicals such as polycyclic aromatic hydrocarbons (PAH), however, the mutagenicity of many chemicals in tobacco products remains underexplored. The tobacco-specific nitrosamines 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) and N'-nitrosonornicotine (NNN), both International Agency for Research on Cancer (IARC) Group 1 carcinogens, form pre-mutagenic pyridyloxobutyl (POB) DNA adducts, yet little is known about the associated genomic mutation landscape(s) in humans. METHODS: We applied bulk and error-corrected next-generation sequencing to a battery of experimental systems comprising mammalian cell lines and animals exposed to NNK or NNN, …

A Regression Tree Framework For Denoising And Monitoring Of Image Data, Subhasish Basak

Doctoral Theses

The proliferation of advanced image acquisition technologies has led to the routine collection of large-scale image data across numerous scientific domains. This widespread reliance on image data accentuates the imperative to develop robust and efficient imaging techniques, which are essential for supporting modern applications across various scientific and industrial domains. This dissertation focuses on the development and analysis of methods for image denoising and image monitoring, two fundamental tasks in modern image analysis. A wide array of image denoising techniques exists in the literature, each tailored to handle specific types of noise or structural characteristics. However, no single method proves …

Design And Fpga Deployment Of Quantized Convolutional Spiking Neural Networks For Ecg Arrhythmia Classification, Olamilekan Banjo

Electronic Theses and Dissertations 2020 - Present

Wearable ECG monitors enable continuous cardiac surveillance, yet most remain limited to basic heart rate metrics or coarse atrial fibrillation detection, relying on cloud-based analysis that introduces latency, connectivity dependence, and battery drain. Deploying advanced multi-class arrhythmia classification directly on-device is constrained by the tight memory, power, and computational budgets of wearable hardware. This dissertation presents a Quantized Convolutional Spiking Neural Network (QCSNN) for real-time ECG arrhythmia detection on edge hardware, developed across three progressive phases.

Phase 1 introduces a separately trained two-stage QCSNN architecture — a binary classifier cascaded with a four-class classifier — trained directly via surrogate gradient …

Ai-Driven Detection Of Neurodevelopmental Disorder From Emotional Speech Using A Hybrid Cnn–Bilstm–Attention Framework, Nayarah Shabir, Parveen Lehana, Sheema Khan

School of Medicine Publications

Neurodevelopmental disorders (NDDs) are associated with impairments in communication, behavior, and social interaction, making accurate diagnosis clinically challenging. Autism Spectrum Disorder (ASD), a major NDD, often exhibits atypical speech patterns characterized by altered prosody and reduced emotional expressiveness. The study proposes a hybrid dual-path framework for ASD detection from emotional speech using two strategies: PCA–GMM-based acoustic modeling and a CNN–BiLSTM–Attention architecture for spectral–temporal feature learning. The proposed framework captures probabilistic, spectral, and temporal speech characteristics for robust ASD classification. Acoustic analysis demonstrated clear separability between ASD and non-ASD speech, while the deep learning framework achieved stable and reliable performance across …

An Automated Electrochemistry Platform For Accelerating The Characterization Of Enzymatic Electrochemistry, Michael A. Pence, Zachary A. Nguyen, Luke G. Kays, Dylan G. Boucher, Joaquín Rodríguez-López, Shelley D. Minteer

Chemistry Faculty Research & Creative Works

Enzymatic electrochemistry harnesses the selectivity of enzymes to enable electrochemical applications spanning sensing, synthesis, and energy conversion. However, the sequential nature of electroanalytical experiments limits throughput, restricting the scale at which enzyme-electrode systems can be screened. Here we demonstrate the capabilities of an automated electrochemistry platform, eLab, to increase the throughput of enzymatic electrochemistry investigations. We used the eLab to collect over 10,000 cyclic voltammograms across a large parameter space consisting of two enzyme variants (promiscuous and wild-type glucose oxidase), 20 saccharide substrates, 21 concentrations, and four scan rates, with measurements being made all in triplicate. The expansive dataset enabled …

Height Does Not Impair The Hydraulic System Of The Tallest Tropical Dipterocarp Trees, Paulo Bittencourt, Arne Scheire, Palasiah Jotan, Jehova Lourenço-Junior, Lindsay F. Banin, Mohd. Aminur Faiz Bin Suis, David Frp Burslem, Bradley O. Christoffersen, David Coomes, Peter Groenendijk

School of Integrative Biological & Chemical Sciences Faculty Publications

Half of the aboveground biomass in forests is stored in a disproportionately small number of very tall trees. These giants are predicted to be more vulnerable to drought-induced damage because height impairs their hydraulic system. We evaluated whether the hydraulic system of world’s tallest tropical tree species—Southeast Asian dipterocarps—are negatively affected by their height. The more negative xylem pressures caused by tree height were fully compensated for through adjustment of vessel anatomy and leaf hydraulic traits, and the trees suffered no height-related loss in growth during a severe drought. Therefore, height does not make the hydraulic systems of the world’s …

Oregon State Rank Assessment For Deschutes Milkvetch (Astragalus Tegetarioides), Nora Dunkirk, Gabriel Campbell, Sue Vrilakas

Institute for Natural Resources Publications

Oregon state conservation status assessment for Deschutes Milkvetch (Astragalus tegetarioides) using NatureServe methodology, 2026.

Optimally Scaled Low-Rank Adaptation For Efficient High-Rank Fine-Tuning, Yilang Zhang, Xiaodong Yang, Yiwei Cai

Defensive Publications Series

A method can be performed during a round of iteration during a loss function optimization process. The method can include a computer obtaining a first matrix and a second matrix. The computer can determine a selected scaling process from a first scaling process and a second scaling process. The computer can modify the first matrix and the second matrix using the selected scaling process to obtain a first modified matrix and a second modified matrix. The computer can determine a first moment and a second moment based on the first modified matrix and the second modified matrix. The computer can …

Predictive Doppler Frequency Pre-Compensation For Non-Terrestrial Network Handovers, Edison Chen, Xuqiang Zhang

Defensive Publications Series

In non-terrestrial networks, for example, networks that use low-earth-orbit satellites, handovers between satellites may be subject to latency due to significant Doppler frequency shifts for the target satellite. This disclosure describes a predictive method for Doppler pre-compensation that may be centered at a user equipment (UE) (e.g., a smartphone, tablet, or vehicle-mounted terminal). The technique may involve the UE recording the magnitude of a frequency compensation value from its connection with a source satellite. For an initial uplink transmission to a target satellite, the UE may then apply a predictive pre-compensation value, which could be derived by inverting the polarity …

When Brand Image Stabilizes Uncertainty: Towards Digital And Inclusive Strategies Based On Artificial Intelligence, Rhita Serir, Raja Temnati

Revue Marocaine de Droit, d'Economie et de Gestion (Moroccan Journal of Law, Economics and Management)

In a context of profound transformation, contemporary marketing is evolving rapidly under the combined influence of digital transformation, artificial intelligence and Generation Z, whose behaviours are redefining consumption and communication norms. At the same time, the COVID-19 pandemic, global recession and market instability have increased the complexity and uncertainty faced by businesses. Strategic decision-making is becoming increasingly complex as technological tools multiply and consumer expectations diversify. Brand managers must therefore maintain coherence, relevance and credibility in unstable environments. Digital marketing emerges as a key strategic lever: integrating digital tools and artificial intelligence into communication and positioning strategies can improve audience …

Machine Learning-Based Forecasting Of Energy Consumption In A Nigerian Tertiary Institution, O. A. Adebimpe, S. S. Showunmi, F. T. Adedeji

Engineering and Technology Journal

An accurate electricity consumption forecast is key to effective energy planning and management in Nigerian tertiary institutions. While applications of machine learning (ML) in forecasting have increased, their deployment in predicting energy consumption in Nigerian tertiary institutions has been limited. Also, the significance of weather-related variables, academic and non-academic activities, and the staff and students' population in predicting energy consumption at a tertiary institution has been underexplored. This study addresses these by developing and evaluating six forecasting models, including Seasonal Autoregressive Integrated Moving Average with Exogenous Variables (SARIMAX), Support Vector Regression (SVR), Artificial Neural Network (ANN), Extreme Gradient Boosting (XGBoost), …