Physical Sciences and Mathematics Commons^™

The Energetic Utilization Of Forages In Fresh And Dried Condition By Ruminants, W Jentsch

IGC Proceedings (1993-2023)

The influence of dehydration of forages on digestibility and energy utilization was measured by indirect calorimetry in respiration chambers with adult wether sheep as a model for ruminants. Comparisons were carried out between fresh and carefully dried forages (experiment 1) and between fresh and not only carefully but also severely dried forages (experiment 2). Careful drying caused no change, but severe drying decreased energy and especially crude protein digestibility. There were no differences in utilization of metabolizable energy between fresh and carefully or severely dried forages.

Effect Of Variation In The Quality Of Forage Maize Silage In Ireland On Forage Intake And On Milk Production Of Dairy Cows, J J. Fitzgeald

IGC Proceedings (1993-2023)

In three experiments maize silages which varied in quality, i.e. starch content and dry matter digestibility (DMD) replaced a high proportion (60-67%) of grass silage in the diet of cows in early or mid-lactation. In each experiment the forages were supplemented with concentrates (4 or 6 kg/cow/day). Replacing high quality grass silages (DMD 750 g/kg) with high quality maize silages (starch 219 or 355 g/kg DM, DMD 694 or 754 g/kg) significantly increased forage intake, milk yield, milk protein concentration and the yield of fat and protein (Experiments 1 and 3). Replacing grass silage with a low starch maize silage …

Minerals In Forages Of Southern Italy Relate To Climate And Harvest Time Effects, G Convertini, D Ferri

IGC Proceedings (1993-2023)

Three cultivars of Alfalfa (Ascolana, Bresaola L 202 and Canè) in the Apulian “Tavoliere” (southern Italy) environment were studied. The effects of three water levels (watering of 1000 m3 ha-1 after each cut; 500 m3 ha-1 as above and another water supply with the same volume when the plant reached wilting conditions; with watering of 300 m3 ha-1 every 8 days to assure continuous water availability) and two cutting times (flower bud and 50% of flowering) were investigated. The cultivars showed a different mineral composition only for quantities not for qualities. The mineral composition of three cultivars were similarly influenced …

Foliar Supplementation Of Minerals To Prevent Calcium And Magnesium Deficiencies In Dairy Cows, G F. Wilson, W J. Courtney

IGC Proceedings (1993-2023)

The objectives of this study were to examine the possibility of reducing the incidence of calcium and magnesium deficiencies in cows by feeding anionic salts and by manipulating the mineral concentrations in pastures with foliar sprays during late pregnancy. Cows provided with a mineral supplement of magnesium chloride and ammonium sulphate before calving produced more milk solids and experienced less health problems. The foliar application of anionic salts, with and without sodium chloride, altered the cation balance in pastures grown on 6 different soils.

Genetic Variation In Perennial Ryegrass For Volatile Fatty Acid Production In Rumen Fluid, H.J P. Marvin, E N. Van Loo, O Dolstra, C.H A. Snijders, D Reheul, J W. Cone

IGC Proceedings (1993-2023)

In perennial ryegrass genetic variation was shown not only for in vitro organic matter degradation (OMD) in rumen fluid and neutral detergent fibre content (NDF) but also for production of volatile fatty acids (VFAs) upon in vitro incubation in rumen fluid. The correlations among concentrations of VFAs in the incubation fluid were high. OMD and NDF, on the other hand, were poorly correlated to the VFA concentrations.

Characterization Of Legume And Grass Residues Following In Vitro And In Sacco Ruminal Digestion, D.J R. Cherney, J H. Cherney, A H. Davidson

IGC Proceedings (1993-2023)

Objectives were to characterize the influence of forage species and maturity on dry matter degradation. Averaged across maturities, alfalfa and red clover were lower in NDF content (39 and 30% NDF, respectively) than reed canarygrass and timothy (59 and 54% NDF, respectively). The NDF of the DM residues in grass remained relatively unchanged over time, while NDF of the DM residue in legume increased rapidly for 9 h before becoming relatively constant. Alfalfa incubated in vitro (42% NDF) compared to reed canarygrass (58% NDF) contained more ND soluble material (39% vs. 25%), and more pepsin soluble material (22 vs. 18%). …

Potassium Accumulation In Perennial Cool-Season Grass Forage, J H. Cherney, D.J R. Cherney

IGC Proceedings (1993-2023)

Perennial grasses are well adapted to the northern U.S.A. and Canada, but the potassium (K) content of grass forage is a major concern in regard to dairy cattle nutrition. Our goal was to identify factors influencing potassium content of grasses, so that a grass management strategy for controlling potassium content could be formulated. Separate experiments were conducted with several perennial coolseason grass species and varieties. Nitrogen fertilization and harvest management also were evaluated. Aside from the obvious positive effect on K concentration caused by commercial K fertilizer or by animal manure application, K concentration was influenced by grass species, grass …

Influence Of Different Cutting Frequencies And Fertilization On Grass Silage Quality, U Wyss, R Vogel

IGC Proceedings (1993-2023)

The influence of different cutting frequencies and fertilization on dry matter yield, botanical composition, nutrient concentration and fermentation quality of grass silage was investigated. Altogether four treatments were compared; two 5-cut-treatnents with two different fertilizer levels, one 3-cut-treatment with fertilizer and one 2-cuttreatment without fertilizer. In the 5-cut-treatments the double fertilizer amount produced a 10% higher dry matter yield and also a higher proportion of grasses. The fermentation quality of these silages was mostly good, especially in autumn when the high nitrate content improved the quality. The 3- cut and 2-cut-variants showed a higher grass proportion, a higher crude fibre …

Seasonal Changes In Forage Quality Of C3 Grasses On Sagebrush Grassland, H F. Mayland, G E. Shewmaker

IGC Proceedings (1993-2023)

Annual and perennial grasses growing in the semiarid, west-central North American continent mature by early to midsummer. Forage mineral concentrations in these C-3 grasses decrease curvilinearly as the season advances from day of year (DOY) 75 to 300. Total digestible dry matter (TDDM) and digestible cell wall (DCW) decrease linearly with DOY while neutral detergent fiber (NDF) increases curvilinearly. By midsummer; energy, N, P, and Zn usually become deficient for ruminant nutrition.

Nitrogen Fertilizer Effects Upon Silage Composition And Quality Of Lolium Multiflorum, L., E M. Viviani Rossi, L M. Gutierrez, E Moreno, A Mazzanti

IGC Proceedings (1993-2023)

The objective of this study was to determine the ensiling properties of ryegrass (Lolium multiflorum L) fertilized with different doses of nitrogen. A pure ryegrass pasture was sown in March 1994 and six N doses (0, 50, 100, 150, 200 and 250 kg N.ha-1) were applied in August 1994. The lots were harvested 60 days after fertilization. The harvested material was chopped and stored for about 60 days in 5 l Polyvinyl chloride (PVC) laboratory silos, and replicated 3 times. Values of DM, IVDMD, TN, NDF, WSC, pH, NH3-N and Sol-N were determined. A completely randomized design was applied, …

Protein Degradability Effect And Supplementation Level On Pasture Utilization, A.V M. Franco, P De Andrade, G L. Franco

IGC Proceedings (1993-2023)

The objective was to determine the effect of protein degradability and supplement level on forage degradation. Steers fistulated were utilizated in brachiaria (Brachiaria brizantha) pasture. A randomized block design was used with a control treatment and supplements according to a factorial scheme combining low, medium and high protein degradability with supplementation levels: low, medium and high analysed as principal treatments and incubation time as splitplot by SAS. Nylon bags were incubated at 4; 8; 12; 24; 48; 72; 96 and 120 hours to determine DM, CP and NDF degradation. There was no effect (P>0.05) of protein degradability …

Breeding To Improve Yield And Quality In Napiergrass, Y K. Cheng, C S. Chen

IGC Proceedings (1993-2023)

The breeding program has been conducted to improve the production and quality of napiergrass by crossing with related species or intraspecies. CV. TLG2 with high yields and water soluble carbohydrates have been selected and released. It produced 20% more forage yields and water soluble carbohydrates than cultivar, CV. A146 and persisted well at least for five years. Good silage was obtained when the CV. TLG2 was harvested at the right time. Milking ability is improved by use of silage and/or green chopping whole year round.

Use Of Nir To Estimate Nitrogen Degradability Of Forage, R Agneeseens, P Dardenne, Ph Lecomte

IGC Proceedings (1993-2023)

Near infra red spectrometry (NIRS) is commonly used to characterise animal feeds at the level of their intrinsic composition (dry matter, protein, fat, fiber) as well of their digestibility (Dardenne et al.,1991). The use of new systems in the evaluation of the protein value has induced the necessity to determine parameters such as the theoretical ruminal degradability of nitrogen (DT).

The definition of this criterion necessitates the implementation of the nylon bag technique which is time consuming and costly and is reserved to reference laboratories. An alternative to this technique, based on an enzymatic hydrolysis of the proteinic content, has …

Energetic Feed Value Of Grassland Products In Ruminants, A Chudy

IGC Proceedings (1993-2023)

A method for calculating the energetic feed value, based on the digestible nutrients and on the relations of the utilisation of the energy of the nutrients (carbohydrates = 100) for ATP syntheses is described. This relative scale is a nominal feed value (NFV). It characterises the ATP potential of the feedstuffs and is therefore equivalent to the efficiency of utilisation of the feed energy in the catabolic metabolism (non-thermal maintenance, muscular work (movement)) and energy costs for syntheses as well as the productive performance as energy retention in animal products. Therefore this scale secures a precise precognition of the animal …

Unraveling The Versatility And Impact Of Multi-Objective Optimization: Algorithms, Applications, And Trends For Solving Complex Real-World Problems, Noor A. Rashed, Yossra H. Ali, Tarik A. Rashid, A. Salih

Journal of Soft Computing and Computer Applications

Multi-Objective Optimization (MOO) techniques have become increasingly popular in recent years due to their potential for solving real-world problems in various fields, such as logistics, finance, environmental management, and engineering. These techniques offer comprehensive solutions that traditional single-objective approaches fail to provide. Due to the many innovative algorithms, it has been challenging for researchers to choose the optimal algorithms for solving their problems. This paper examines recently developed MOO-based algorithms. MOO is introduced along with Pareto optimality and trade-off analysis. In real-world case studies, MOO algorithms address complicated decision-making challenges. This paper examines algorithmic methods, applications, trends, and issues in …

Optimization Of Resources Allocation Using Evolutionary Deep Learning, Sanaa Ali Jabber, Soukaena H. Hashem, Shatha H. Jafer

Journal of Soft Computing and Computer Applications

The Bidirectional Long Short-Term Memory (Bi-LSTM) network structure enables data analysis, enhances decision-making processes, and optimizes resource allocation in cloud computing systems. However, achieving peak network performance relies heavily on choosing the hyperparameters for configuring the network. Enhancing resource allocation improves the Service Level Agreement (SLA) by ensuring efficient utilization and allocation of computational resources based on dynamic workload demands. This paper proposes an approach that integrates a Multi-Objective Evolutionary Algorithm (MOEA) with deep learning techniques to address this challenge. This approach combines the optimization capabilities of MOEA with the learning predictive models to establish a framework for resource allocation …

Face Mask Detection Based On Deep Learning: A Review, Shahad Fadhil Abbas, Shaimaa Hameed Shaker, Firas. A. Abdullatif

Journal of Soft Computing and Computer Applications

The coronavirus disease 2019 outbreak caused widespread disruption. The World Health Organization has recommended wearing face masks, along with other public health measures, such as social distancing, following medical guidelines, and thermal scanning, to reduce transmission, reduce the burden on healthcare systems, and protect population groups. However, wearing a mask, which acts as a barrier or shield to reduce transmission of infection from infected individuals, hides most facial features, such as the nose, mouth, and chin, on which face detection systems depend, which leads to the weakness of these systems. This paper aims to provide essential insights for researchers and …

Strangeness Detection From Crowded Video Scenes By Hand-Crafted And Deep Learning Features, Ali A. Hussan, Shaimaa H. Shaker, Akbas Ezaldeen Ali

Journal of Soft Computing and Computer Applications

Video anomaly detection is one of the trickiest issues in intelligent video surveillance because of the complexity of real data and the hazy definition of anomalies. Since abnormal occurrences typically seem different from normal events and move differently. The global optical flow was determined with the maximum accuracy and speed using the Farneback approach for calculating the magnitudes. Two approaches have been used in this study to detect strangeness in the video. These approaches are Deep Learning (DL) and manuality. The first method uses the activity map's development of entropy to detect the oddity in the video using a particular …

A Comprehensive Analysis Of Deep Learning And Swarm Intelligence Techniques To Enhance Vehicular Ad-Hoc Network Performance, Hussein K. Abdul Atheem, Israa T. Ali, Faiz A. Al Alawy

Journal of Soft Computing and Computer Applications

The primary elements of Intelligent Transportation Systems (ITSs) have become Vehicular Ad-hoc NETworks (VANETs), allowing communication between the infrastructure environment and vehicles. The large amount of data gathered by connected vehicles has simplified how Deep Learning (DL) techniques are applied in VANETs. DL is a subfield of artificial intelligence that provides improved learning algorithms able to analyzing and process complex and heterogeneous data. This study explains the power of DL in VANETs, considering applications like decision-making, vehicle localization, anomaly detection, traffic prediction and intelligent routing, various types of DL, including Recurrent Neural Networks (RNNs), and Convolutional Neural Networks (CNNs) are …

A Novel Approach To Generate Dynamic S-Box For Lightweight Cryptography Based On The 3d Hindmarsh Rose Model, Ala'a Talib Khudhair, Abeer Tariq Maolood, Ekhlas Khalaf Gbashi

Journal of Soft Computing and Computer Applications

In lightweight cryptography, the absence of an S-Box in some algorithms like speck, Tiny Encryption Algorithm, or the presence of a fixed S-Box in others like Advanced Encryption Standard can make them more vulnerable to attacks. This study introduces an innovative method for creating a dynamic 6-bit S-Box (8×8) in octal format. The generating process of S-Box passes through two phases. The first is the number initialization phase. This phase involves generating sequence numbers 1, sequence numbers 2, and sequence numbers 3 depending on X_i, Y_i, and Z_i values generated using the 3D Hindmarsh …

The Robust Digital Video Watermarking Methods: A Comparative Study, Ebtehal Talib, Abeer Salim Jamil, Nidaa Flaih Hassan, Muhammad Ehsan Rana

Journal of Soft Computing and Computer Applications

Digital data such as images, audio, and video have become widely available since the invention of the Internet. Due to the ease of access to this multimedia, challenges such as content authentication, security, copyright protection, and ownership determination arose. In this paper, an explanation of watermark techniques, embedding, and extraction methods are provided. It further discusses the utilization of artificial intelligence methods and conversion of host media from the spatial domain to the frequency domain; these methods aim to improve the quality of watermarks. This paper also included a classification of the basic characteristics of the digital watermark and the …

Foxann: A Method For Boosting Neural Network Performance, Mahmood A. Jumaah, Yossra H. Ali, Tarik A. Rashid, S. Vimal

Journal of Soft Computing and Computer Applications

Artificial neural networks play a crucial role in machine learning and there is a need to improve their performance. This paper presents FOXANN, a novel classification model that combines the recently developed Fox optimizer with ANN to solve ML problems. Fox optimizer replaces the backpropagation algorithm in ANN; optimizes synaptic weights; and achieves high classification accuracy with a minimum loss, improved model generalization, and interpretability. The performance of FOXANN is evaluated on three standard datasets: Iris Flower, Breast Cancer Wisconsin, and Wine. The results presented in this paper are derived from 100 epochs using 10-fold cross-validation, ensuring that all dataset …

Surveying Machine Learning In Cyberattack Datasets: A Comprehensive Analysis, Azhar F. Al-Zubidi, Alaa Kadhim Farhan, El-Sayed M. El-Kenawy

Journal of Soft Computing and Computer Applications

Cyberattacks have become one of the most significant security threats that have emerged in the last couple of years. It is imperative to comprehend such attacks; thus, analyzing various kinds of cyberattack datasets assists in constructing the precise intrusion detection models. This paper tries to analyze many of the available cyberattack datasets and compare them with many of the fields that are used to detect and predict cyberattack, like the Internet of Things (IoT) traffic-based, network traffic-based, cyber-physical system, and web traffic-based. In the present paper, an overview of each of them is provided, as well as the course of …

Electrochemical Detection Of Glucose Using A Prussian Blue Modified Electrodes Combined With Glucose Encapsulated Within A Xerogel, Daniel Baker, Sarah Davis, Drew Budner

Journal of the South Carolina Academy of Science

Recent literature reports examples of electrochemical biosensor systems that have been developed based upon on the encapsulation of enzymes and metal nanoparticles into a xerogel. These systems have been utilized for the detection of biologically important compounds, such as glucose. These reports on these systems have found acceptable detection limits and linear ranges. At the same time, Prussian blue modified electrodes have been shown to have better operating parameters than metal electrodes for the detection of hydrogen peroxide. In this work, a biosensor system is described that incorporates the encapsulation of glucose oxidize within a xerogel combined with electrochemical detection …

2024 June 27 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

Addressing Social Inequalities Using Ai, Big Data, And Machine Learning, Erica L. Jensen, Lakell Archer, Sumaya Ali

Journal of Nonprofit Innovation

No abstract provided.

Assessment And Prediction Of Meteorological Drought Using Machine Learning Algorithms And Climate Data, Khalid En-Nagre, Mourad Aqnouy, Ayoub Ouarka, Syed Ali Asad Naqvi, Ismail Bouizrou, Jamal Eddine Stitou El Messari, Aqil Tariq, Walid Soufan, Wenzhao Li, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Monitoring drought in semi-arid regions due to climate change is of paramount importance. This study, conducted in Morocco’s Upper Drâa Basin (UDB), analyzed data spanning from 1980 to 2019, focusing on the calculation of drought indices, specifically the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI) at multiple timescales (1, 3, 9, 12 months). Trends were assessed using statistical methods such as the Mann-Kendall test and the Sen’s Slope estimator. Four significant machine learning (ML) algorithms, including Random Forest, Voting Regressor, AdaBoost Regressor, and K-Nearest Neighbors Regressor, were evaluated to predict the SPEI values for both three …

Improving Flextype: Ambiguous Text Input For Users With Visual Impairments, Dylan Gaines, Keith Vertanen

Michigan Tech Publications, Part 2

We present an improved version of the FlexType interface for nonvisual text input. FlexType enables nonvisual text input on mobile touchscreen devices by allowing users to select from a small number of character groups with gestures instead of targeting letters at specific screen locations. Based on an interview with users who are blind or low vision, we added a letter-entry mode to enable easier entry of difficult words such as proper nouns. We conducted a longitudinal study with users who are legally blind to compare FlexType to users' typical text input methods. While we found FlexType was significantly slower than …

Lunar: Automated Input Generation And Analysis For Reactive Lammps Simulations, Josh Kemppainen, Jacob R. Gissinger, S. Gowtham, Gregory Odegard

Michigan Tech Publications, Part 2

Generating simulation-ready molecular models for the LAMMPS molecular dynamics (MD) simulation software package is a difficult task and impedes the more widespread and efficient use of MD in materials design and development. Fixed-bond force fields generally require manual assignment of atom types, bonded interactions, charges, and simulation domain sizes. A new LAMMPS pre- and postprocessing toolkit (LUNAR) is presented that efficiently builds molecular systems for LAMMPS. LUNAR automatically assigns atom types, generates bonded interactions, assigns charges, and provides initial configuration methods to generate large molecular systems. LUNAR can also incorporate chemical reactivity into simulations by facilitating the use of the …

Thermal Stability Of Amorphous Metal Oxides: The Interplay Of Secondary Cations, Degree Of Substitution, And Local Structure, Li Zeng, D. Bruce Buchholz, Denis T. Keane, Tobin J. Marks, Julia E. Medvedeva, Michael J. Bedzyk

Physics Faculty Research & Creative Works

Indium-based amorphous metal oxides (AMOs) are important materials that enable a wide range of electronic and optoelectronic applications. The metal cations that substitute for In are known to effectively tune the material properties as well as to retain the desirable amorphous state when subjected to high operating temperatures. While much attention focuses on property tuning, there is less focus on those fundamental factors that enhance thermal stability. Hence, in this paper, we employ in situ X-ray scattering and ab initio molecular dynamics (MD) to systematically study the effects of secondary cations on the crystallization process. A series of amorphous (In …