On The Estimation Of Digestibility And Net Energy In Green Forage And Roughage By Means Of A Cellulase Method, R J. Kellner, M Kirchgessner

IGC Proceedings (1977-2023)

In vitro methods using rumen liquor for the determination of the digestibility of forages have the disadvantage of difficult use and restricted reproducibility. Therefore, the cel­lulolytic properties of the rumen inoculum were replaced by a commercial cellulase in order to get a simpler and more reproducible procedure. The values of in vivo digestibilities are reached if the cellulase digestion of feed samples is pretreated with dlilute hydrochloric acid and is followed by pepsin digestion. This cellulase digestibility alone or in combination with the contents of several crude nutrients can serve as parameter to estimate the energy value of feeds. The …

Forage And Feedstuff Analysis With Infrared Reflectance Spectro/Computer System1, J S. Shenk, K H. Norris, R F. Barnes, G W. Fissel

IGC Proceedings (1977-2023)

An infrared reflectance spectro/computer sys­tem (IRSCS) has been established at The Pennsylvania State University to evaluate the nutritional quality of forage and feedstuffs. Studies with alfalfa forage clearly show that the reflectance spectral curve of the forage is a composite curve consisting of various chemical constituents in the forage such as water, protein and cellulose. Chemical constituents are not measured directly by IRSCS but calibration prediction equations are developed from sam­ples with known chemical constituents and animal response data. After this is completed, forage samples can be analyzed for multiple chemical constituents and animal responses in less than 2 minutes. …

Quantitative Recording Of Roughages, Ingrid Marx

IGC Proceedings (1977-2023)

As site-adapted concentration and specializa­tion of production proceed and certain farms gradually specialize in forage production, roughages must be looked upon as commodi­ties. In accordance with the character of com­modity production, roughages must therefore be planned and accounted also in terms of quan­tity, quality, costs, and returns. In the paper, several methods of quantitative recording are described for the following rough­age groups: pasture grass, green forage, silages, hay, and dried green crop. They allow an exact control over roughage production in the crop production enterprises.

The Application Of The Gdr Feed Evaluation System In The Velgast Inter-Farm Cooperative Crop Production Divi­Sion (Kap), Wolfgang Weidlich, Fritz Luddecke, Manfred Beyer, Werner Jentsch

IGC Proceedings (1977-2023)

Experience is reported regarding the applica­tion of the GDR Feed Evaluation System in managing and planning the forage production along industrial lines in the Velgast KAP. The following priorities of application are dis­cussed:

(1) Determining the feed supply and balancing it against the feed requirements of the ani­mals to be fed, for the purpose of planning the forage production and analyzing the performance reached in forage production;

(2) Utilization of the results of energy and nu­trient yield assessment over several years, and of feed planning in order to derive op­timum cropping patterns;

(3) Implementation of exact assessment of feed quantity …

Planning And Balancing Of Feed Requirements And Feed Production According To Standards Of The Energy And Protein Requirements Specified In The Gdr Feed Evalua­Tion System, Arthur Chudy

IGC Proceedings (1977-2023)

"Feed planning and balancing according to standards of the energy and protein require­ments" has been elaborated as an integral part of the GDR Feed Evaluation System to ensure that feed supply can be planned according to actual requirements, and has, by using com­puter techniques, been introduced in the GDR for planning activities at enterprise level as well as for national planning at territorial levels. The standards characterize the feed require­ments encountered under average production conditions for large livestock populations and longer spans of time. They have been derived for all animal species and production objectives from the requirement standards for …

Roughage Quality Estimation In The Gdr Feed Evaluation System, Bernd Hoffmann

IGC Proceedings (1977-2023)

The quality of a feed is defined as the sum of the properties characterizing the feed in terms of its employment for animal production pur­poses. It unites parameters for the energy con­centration, contents of specific nutrients, die­tary characteristics, and properties· affecting feed intake. To facilitate roughage quality esti­mation, feed testing and attestation documents have been elaborated in connection with the introduction of the GDR Feed Evaluation Sys­tem. These documents include attestation tables for determining major feed value parameters (energy concentration, protein concentration, energy digestibility), the classification frames for assessing the roughage according to its content of specific nutrients, dietary chara1:­teristics …

How A Drying Plant Influences Intensification In The Development Of Forage Production Along Industrial Lines, Josef Pohl, Manfred Fechner

IGC Proceedings (1977-2023)

Since the opening of the Selbelang drying plant, essential changes have occurred in the roughage patterns of the socialist farms in this territory. This development has been charac­terized by a strong decline in hay production, the latter depending strongly on weather con­ditions and involving heavy losses, in favour of the processing and use of dried green crop. Drying of whole plants and straw pelleting have been introduced. Furthermore, the quality of dried roughage has been essentially improved and winter-feeding rations have been stabilized through the use of high-quality dry feeds. Losses from preservation declined. Applying these measures of intensification it …

The Evaluation Of Roughages Under The Gdr Feed Evalua­Tion System, Reinhard Schiemann

IGC Proceedings (1977-2023)

The purpose and content of the GDR Feed Evaluation System are discussed in the form of a summary report. The GDR Feed Eval­uation System incorporates, in a form suitable for practical application, the following:

Parameters and methods for the complex evaluation of feeds with particular refer­ence to energy and protein (including amino acids), prepared in the form of detailed feed tables for feeding and planning pur­poses [9, 10];

Parameters and methods for determining daily feed requirements and application rates, in the fonn of energy and nutrient • requirement standards for composing op­timum rations according to animal species and performance (9, …

Phytochemical Analysis And Safety Assessment Of Watercress Nasturtium Officinale: Antioxidant Capacity, Heavy Metal Profiling, And Toxicity Using Brine Shrimp Model, Qurrota A’Yunin, Chamini Kasun Hemachandra, Muhaimin Rifa’I, Yoga Dwi Jatmiko, Maftuch Maftuch, Rizky Fadilla Agustin Rangkuti, Cucun Herlina, Zulfa Mahdiatur Rasyida, Moh Dliyauddin

Karbala International Journal of Modern Science

Medicinal plants have attracted growing attention as sources of natural bioactive compounds for sustainable aquaculture and health. This study evaluated the phytochemical composition, antioxidant activity, heavy metal profile, and acute toxicity of watercress (Nasturtium officinale W.T. Aiton) methanol extract using maceration, qualitative and quantitative (TPC, TFC, antioxidant DPPH) phytochemical assay, XRF, and BSLA. Phytochemical screening of plant extracts showed the existence of flavonoids, alkaloids, phenols, tannins, triterpenoids, and saponins, but not steroidal. The TPC and TFC were 20.6 mg GAE/g and 10.8 mg QE/g, respectively. The extract displayed significant antioxidant activity (IC₅₀ = 64.78 µg/mL in DPPH assay). …

Transformative Climate Change Mitigation And Adaptation Policy Analysis In Medan City, Citra Tatius, Mega Anggraeni, Wiwandari Handayani, Rukuh Setiadi

Cities and Urban Development Journal

Background: Climate change is not only a global challenge but also a strategic issue of development in Indonesia. The Medan City Government has implemented various mitigation and adaptation efforts, yet it continues to produce greenhouse gas emissions and is exposed to climate change impacts. A transformative approach in mitigation and adaptation is needed to enable systemic change to comprehensively address climate change from its root causes.

Aims: This paper aims to elaborate on the extent to which mitigation and adaptation policies in Medan City can fulfill the principles of transformative climate actions.

Methods: Data collection for climate profiles and mitigation …

Evaluating Machine Learning Models On Classification Of Novel Cyber Attacks In The Healthcare Domain, Promise Ehimen

Dissertations, Theses, and Projects

The increasing adoption of the Internet of Medical Things (IoMT) has improved healthcare delivery through connected medical devices while simultaneously expanding the cybersecurity risks facing healthcare organizations. Although machine learning based intrusion detection systems have demonstrated high detection accuracy, their ability to respond reliably to previously unseen cyberattacks remains uncertain. This study investigated how a Neural Network model and a Logistic Regression model classified novel cyberattacks within the IoMT environment. The Neural Network and Logistic Regression models were both trained and tested using a subset of the CICIoMT2024 benchmark dataset. The Neural Network achieved 99.82% test accuracy and a 0.94 …

A Fuzzy–Neutrosophic Suitability Index For Selecting An Appropriate Reasoning Model Under Vagueness, Incompleteness, And Conflict, Nada A. Nabeeh, Ahmed Samy

Neutrosophic Systems with Applications

Fuzzy reasoning and neutrosophic reasoning are both used to handle uncertainty, but they are not intended for the same uncertainty structure. Fuzzy reasoning is suitable when uncertainty appears mainly as gradual vagueness, where a value may belong to a concept such as ``high risk'' or ``good performance'' to a certain degree. In this case, a membership value is often sufficient. Neutrosophic reasoning is more suitable when the problem also contains incomplete information, undecided evidence, or conflict between sources. In such cases, one membership degree may be too limited because it cannot represent support, rejection, and indeterminacy separately. This study introduces …

2026 Final Unreclaimed Sites Quality Assurance Project Plan (Qapp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Systematic Review Of The Institutionalization Of Service Learning In Higher Education, Wilmer Hernan Cruz Gutierrez

ASEAN Journal of Community Engagement

An increasing number of universities are integrating service-learning (SL) to fulfill their social mission. However, sustainable institutionalization of SL remains a persistent challenge. This study identifies and analyzes the factors, actors, and strategies that drive and inhibit SL institutionalization in higher education. Using the PRISMA 2020 guidelines, a systematic literature review analyzed 52 documents from seven academic databases (including WoS, Scopus, and ERIC). The findings were grouped into three sections: cultural (integration into institutional values/missions), process (articulation within teaching, research, and outreach), and structural dimensions (dedicated support entities). The results obtained reveal a reciprocal relationship where cultural alignment enables processual …

Foundations Of Neutrosophic N-Semirings Theory And Structural Properties, Raja Muhammad Hashim, Muhammad Gulistan, Muhammad Shahzad

Neutrosophic Systems with Applications

In this paper the concept of neutrosophic n-semirings (S∪ I, ∗ ₁, ∗ _2, ∗ ₃,..., ∗ _n, ∗ _n+1) has been introduced. The substructure of n-semirings (S∪ I, ∗ ₁, ∗ _2, ∗ ₃,..., ∗ _n, ∗ _n+1) has been defined and some useful results have been proved. Moreover, in order to familiarize the readers with these concepts some worthy examples have been coined. The left, right and two sided ideals of neutrosophic n-semirings have been paid a special heed. Finally we have turned our discussion towards the compatible and congruence …

Evaluating Generative Ai-Based User Interfaces Using An Integrated Neutrosophic Multi-Criteria Decision-Making Framework, Nada Mohamed, Alshaimaa A. Tantawy

Neutrosophic Systems with Applications

User Interface (UI) design can be seen as an essential aspect of human-computer interaction (HCI) and makes communication easier between people and technology. In today's digital economy, interface quality has become one of the most important business concerns, since it has a direct impact on customer satisfaction and retention while affecting revenue. Although creating user-centered and accessible interfaces is crucial, doing so is a difficult and time-consuming process, which leads to burnout for many usability professionals. Although conventional artificial intelligence (AI) was utilized for design assessment and automation, the arrival of generative AI technology has created new possibilities for automated …

Digraphicsoft Sets And Bidigraphicsoft Sets: Directed And Bidirected Extensions Of Graphicsoft Modeling, Takaaki Fujita, Ajoy Kanti Das, Suman Das, Sankar Prasad Mondal, Volkan Duran, Mithun Datta

Neutrosophic Systems with Applications

Uncertainty has been modeled through a wide variety of mathematical frameworks, including fuzzy sets, neutrosophic sets, rough sets, and plithogenic sets. Among these approaches, soft sets offer a parameterized representation of uncertain information and have inspired numerous extensions, such as multisoft sets, double-framed soft sets, hypersoft sets, SuperHyperSoft sets, TreeSoft sets, ForestSoft sets, IndetermSoft sets, and IndetermHyperSoft sets.
This paper focuses on GraphicSoft Sets, which extend the classical soft-set framework by assigning a subset of the universe to each subgraph of an attribute graph. In this way, relationships among attributes are incorporated directly into the parameterized model. Building on …

Neutrosophic Time-Truncated Acceptance Sampling Plans Based On The Exponentiated Weibull Distribution For Reliability Applications, Divya P.R., Preethi John

Neutrosophic Systems with Applications

Classical acceptance sampling plans require precisely specified parameter values, an assumption routinely violated by measurement uncertainty and gauge imprecision in practice. This article develops Neutrosophic Time-Truncated Acceptance Sampling Plans (N-TTASP) for the Exponentiated Weibull (EW) distribution by representing the scale parameter as a neutrosophic interval. The neutrosophic sample size n_N ∈ [n_L, n_U] and acceptance number c_N ∈ [c_L, c_U] are obtained by minimizing n_U subject to dual producer and consumer risk constraints on the neutrosophic Operating Characteristic interval. A new indeterminacy ratio η is introduced as a …

A Community Planning Approach To Green Infrastructure And Hazard Mitigation, Kara Salazar, Daniel Walker, Carrie Mckillip

Journal of Extension

As communities seek to increase their resilience to climate change and natural hazards, integrating mitigation and adaptation solutions into local planning has become essential. Purdue Extension, the University of Illinois Extension, and Illinois–Indiana Sea Grant developed a program, funded by the Extension Disaster Education Network, which supports community-based updates to hazard mitigation and resilience planning, with an emphasis on green infrastructure. This paper highlights the lessons we learned after implementing the program in Hancock County, Illinois, and LaPorte, Indiana, and the toolkit we created, which provides engagement and education techniques, planning processes, and other resources to Extension professionals working in …

Enhanced Transdermal Immunization Via Solid-In-Oil Nanodispersions Incorporating Dendritic Cell-Targeting Peptide, Md Samiul Islam, Md. Shahin Ekka Sarker, Yoshirou Kawaguchi, Rie Wakabayashi, Noriho Kamiya, Muhammad Moniruzzaman, Masahiro Goto

Publications and Research

Transdermal immunization represents a promising needle-free alternative to conventional vaccination. However, efficient antigen delivery and robust immune activation remain major challenges. In this study, a solid-in-oil (S/O) nanodispersion system comprising a dendritic cell-targeting peptide (HR8), ovalbumin (OVA), and an adjuvant was developed for transdermal immunization. The HR8 peptide along with OVA was successfully incorporated into an S/O nanodispersion with an optimal hydrodynamic diameter of particles (< 200 nm) and exhibited stable physical properties for up to 90 days. In vitro and in vivo studies demonstrated enhanced antigen delivery with insignificant skin irritation in C57BL/6N mice. Moreover, in vivo transdermal immunization studies demonstrated that the addition of the HR8 peptide enhanced OVA-specific IgG responses (~1.5-fold). Notably, the HR8 peptide also promoted an approximately 2.5-fold increase in IgG2c levels, suggesting a shift toward a more T helper type 1-biased immune response, as reflected by an increased IgG2c/IgG1 ratio. Overall, these findings demonstrate that the incorporation of HR8 peptide into an S/O nanodispersion enables efficient transdermal antigen delivery and improved immunogenicity, highlighting its potential as a simple, non-invasive, and patient-friendly immunization strategy.

Psychological Needs And Ai Delegation Across Four Social Domains - A Cross-Cultural Analysis Of 35 Nations, Magnus Liebherr, Ala Yankouskaya, Mohamed Basel Almourad, Justin Thomas, Guandong Xu, Raian Ali

All Works

As artificial intelligence (AI) systems increasingly assume roles with social, educational, and emotional significance, understanding the psychological drivers behind individuals' readiness to delegate such roles to AI is crucial. Drawing on Self-Determination Theory (SDT), this study examines how the satisfaction of basic psychological needs (autonomy, competence, and relatedness) predicts individuals' readiness to delegate socially significant roles to AI across four domains (education, healthcare, mental health, and companionship) and 35 nations. Using data from over 35,000 participants in the 2023 Global Digital Wellbeing Survey, we applied Bayesian multilevel multivariate modelling to assess both global and culture-specific motivational associations. Results revealed that …

Governance, Culture, And Law: The Expanding Scope Of Environmental Science And Sustainable Development Research, Ahyaudin Sodri, Herdis Herdiansyah

Journal of Environmental Science and Sustainable Development

Environmental science emerged as a discipline based on physical measurements, such as soil pollutant levels (Ailijiang et al., 2022), ecological restoration (Yue et al., 2026), city surface temperature (Shafizadeh-Moghadam et al., 2025), and microbial density in air samples (Hayleeyesus & Manaye, 2014). However, its objects of study increasingly extend beyond the confines of the laboratory. Questions that were once sufficiently answered with measurement data now require answers through draft laws, Constitutional Court decisions, financial reports of mining companies, and even traditional ritual discourses governing community access to forests. In other words, environmental …

The Study Of Hydrophobic Biomolecules With Matrix Assisted Laser Desorption Ionization Mass Spectrometry And Atomic Force Microscopy, Brandy L. Perkins

LSU Doctoral Dissertations

Abstract

Matrix assisted laser desorption ionization (MALDI) mass spectrometry (MS) can be used to obtain localization and chemical information of hydrophobic biomolecules on tissue samples.  A technique has been developed to modify a standard MALDI matrix that improves the selectivity for hydrophobic biomolecules on the tissue sample. The modification involves the use of a Group of Uniform Materials Based on Organic Salts (GUMBOS). GUMBOS are ionic liquids (IL) that are bulky organic ions with a counter ion that can be changed for tuning.  They are more stable than traditional matrices under vacuum.  Unlike traditional IL’s, the GUMBOS melting point ranges …

Vision Transformers And Convolutional Neural Networks For Land Use Scene Classification, Arun D. Kulkarni

Computer Science Faculty Publications and Presentations

Land use scene classification (LUSC) from remote sensing imagery plays a critical role in environmental monitoring, urban planning, and sustainable resource management. In recent years, deep learning methods have significantly advanced the state-of-the-art, with Convolutional Neural Networks (CNNs) dominating the field because of their strong ability to capture local spatial features. However, the emergence of Vision Transformers (ViTs) has introduced a new paradigm that models long-range dependencies through self attention mechanisms, potentially enabling improved global context understanding. This study presents a comparative assessment of Vision Transformers and CNN-based architectures for remote sensing land use scene classification. Representative CNN models, such …

Emergent De Sitter Expansion And Closed Topology From The Cosmic Fabric Model As An Open Thermodynamic System: Resolving The Negative Bulk Modulus Paradox, T G. Tenev, C B. Ward, T F. Tenev, M F. Horstemeyer

Faculty Publications and Presentations

The Cosmic Fabric Model establishes a continuum-mechanics isomorphism to General Relativity by representing physical space as an elastic three-dimensional hyperplate embedded in a four-dimensional spatial bulk. Reproducing vacuum kinematics requires a vanishing P-wave modulus, which in turn implies a negative bulk modulus—an apparent thermodynamic instability in a closed system. This paradox is resolved by recasting the framework as an open system: the instability is not pathological but instead drives cosmic expansion. In this interpretation, the observable universe is a lower-energy solid formed through continuous solidification from a higher-dimensional precursor fluid. Using multiplicative kinematics from finite-growth mechanics, the model shows that …

Sources Of Energy Production In Mountain West States, 2026, Kahlen Coss, Yash Kalla, Kian Parikh, Caitlin J. Saladino, William E. Brown Jr.

Environment

This fact sheet presents data on electricity generation and energy sources in March 2026 for five Mountain West states: Arizona, Colorado, Nevada, New Mexico, and Utah. Each state's share of total U.S. electricity production and its generation by source (coal, hydroelectricity, natural gas, nuclear, solar, and wind) are included. The Choose Energy report, "Electricity Generation by State," includes data on all 50 states and the District of Columbia.

2026 July 30 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

Sums Of Consecutive Integers And Sequence Of Divisors, Mushrat Fatema, Abdulkadir Hassen

STEM Student Research Symposium Posters

This work is concerned with two problems in number theory. The first part is to find the maximum number of sequence of integers such that two consecutive numbers in the list are multiple or factor of the other, and integers that can be expressed as a sum of consecutive integers.

Attention-Based Ensemble Deep Learning Model For Arabic And English Fake News Classification, Ameer Alhaq Alshamery

Journal of Intelligent Informatics, Networking, and Cybersecurity

It is difficult to classify articles as fake news since one article may consist of true facts with only some statements being fake. Moreover, classification becomes complicated for the Arabic language owing to its morphology and several ways of spelling, as well as the lack of well-classified and marked data sets. This paper presents an Ensemble Deep Learning Model (EDLM) used for Arabic and English fake news classification. The EDLM consists of CNN, Bi-LSTM with attention, and Bi-GRU with attention networks. Each of them produces one probability of the article, which is then summed up to a final probability via …

A Data-Driven Framework For Mitigating Breast Cancer Overdiagnosis: From Estimation To Risk-Adjusted Computer-Aided Diagnosis, William M. Brown Jr.

LSU Doctoral Dissertations

In Computer-Aided Diagnosis (CAD) of cancer, standard cost metrics (false-positives and false-negatives) fundamentally fail to account for overdiagnosis. Overdiagnosis is a critical scenario where a disease is correctly detected (true-positive) but is biologically indolent and would never have caused the patient harm or symptoms. While widely recognized in the medical community as a major healthcare crisis driving stressful and invasive overtreatment, overdiagnosis remains severely under-researched within computer science and engineering. This dissertation addresses this interdisciplinary gap by defining the three key computational challenges of overdiagnosis: (i) accurate estimation, (ii) harm quantification, and (iii) algorithmic mitigation. To overcome the estimation challenge, …