149 results for “weights”

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Research ArticleOpen accessEvery word in the titleUsing Regression to Establish Weights for a Set of Composite Equations through a Numerical Analysis Approach: A Case of Admission Criteria to a CollegeRamzi Naim Nasser, Viviane NaimyProblem statement: Mathematically little is known of college admission criteria as in school grade point average, admission test scores or rank in class and weighting of the criteria into a composite equation. Approach: This study presented a method to obtain weights on “composite admission” equation. The method uses an iterative procedure to build a prediction equation for an optimal weighted … …Journal of Mathematics and Statistics, Vol. 6, Issue 3 · 30 Sep 2010 · 7,179 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleEffect of Body Weight and Age at Puberty and Mating on Subsequent Gilt Development Weights, Litter Traits, and Colostral Immunoglobulin G of the F1 Large White X Landrace GiltsThembela Happines Matukane, Khathutshelo Agree Nephawe, Bohani Mtileni et al.The purpose of this study was to assess how body weight and age at puberty and mating in F1 Large White x Landrace pigs influence subsequent gilt development weights, litter characteristics, and colostral immunoglobulin G levels. A total of 168 gilts were categorized into different weight groups, i.e., body weight at puberty (lighter gilts: <103 kg, moderate gilts: 103-109 kg) … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 4 · 12 Oct 2024 · 5,956 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleLogistic Regression with Multi-Connected WeightsAvazjon Marakhimov Rakhimovich, Kabul Khudaybergenov Kadirbergenovich, Zahriddin Muminov Ishkobilovich, Kudaybergenov Jabbarbergen KadirbergenovichResults of current research in biological and cognitive science reveal that neuronal interactions predominantly depend on neurotransmitters for signaling and sending information between neurons. Furthermore, a specific neuron that is connected to the next neuron transmits or sends multiple neurotransmitters in parallel ways, where each neurotransmitter has specific functional roles. Based on these results, a new type of logistic regression … …Journal of Computer Science, Vol. 20, Issue 9 · 4 Jul 2024 · 5,059 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleGrowth Traits as Indicators of Body Weights in Dorper SheepMolabe Kagisho Madikadike, Vusi Mbazima, Busisiwe Gunya, Thobela Louis TyasiThe growth traits help rural farmers who lack weighing equipment to anticipate the body weights of their animals for a variety of reasons, including feeding, medication, and breeding purposes. The study aims to predict body weights from the growth traits of Doper sheep. Data on growth traits such as body length, heart girth, sternum height, withers height, rump height, and … …American Journal of Animal and Veterinary Sciences, Vol. 17, Issue 4 · 26 Dec 2022 · 6,287 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsEvaluation of Relationships Between Some Growth Traits Measured at Birth and Weaning in South African Non-Descript Goat Kids using Canonical Correlation AnalysisKwena Mokoena, Thobela Louis TyasiThe study was conducted to assess the association among 6 different growth traits viz; X set- Birth Weight (BW), Heart Girth (HG), Rump Height (RH), Sternum Height (SH), Body Length (BL), Withers Height (WH), assessed at birth and viz; Y Set- Heart Girth (HG_3), Body Length (BL_3), Rump Height (RH_3), Weaning Weight (WW), Withers Height (WH_3), Sternum Height (SH_3) at … …American Journal of Animal and Veterinary Sciences, Vol. 16, Issue 3 · 12 Aug 2021 · 6,999 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsA Computational Optimized Extended Model for Mineral Potential Mapping Based on WofE MethodZiaii Mansour, Pouyan Ali, Ziaei MahdiThe multivariate fuzzy-c-means classifier is used to model extended weight of evidence (WofE) considering predictor maps. Approaches to mineral potential mapping based on WofE modeling generally use binary maps, whereas, real-world geospatial data are mostly multi-class or fuzzy-class in nature. The consequent reclassification of fuzzy-class maps into binary maps is a simplification that might result in a loss of information. … …American Journal of Applied Sciences, Vol. 6, Issue 2 · 28 Feb 2009 · 7,561 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsDNA Sequence Optimization Based on Continuous Particle Swarm Optimization for Reliable DNA Computing and DNA NanotechnologyN. K. Khalid, Z. Ibrahim, T. B. Kurniawan et al.Problem statement: In DNA based computation and DNA nanotechnology, the design of good DNA sequences has turned out to be an essential problem and one of the most practical and important research topics. Basically, the DNA sequence design problem is a multi-objective problem and it can be evaluated using four objective functions, namely, Hmeasure, similarity, continuity and hairpin. Approach: There … …Journal of Computer Science, Vol. 4, Issue 11 · 30 Nov 2008 · 7,046 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEffect of Phytobiotic Carica Papaya Seed Extract on Growth Performance, Physiological Parameters, Gastrointestinal and Immune Organs of BroilersNovi Mayasari, Erna Ainal Mardiah, Selly Masella et al.Papaya (Carica papaya) seeds (PS) are known as a potential phytobiotic alternative to Antibiotic Growth Promotor (AGP) in poultry. Papaya seed extract (PSE) contains bioactive compounds such as carpine, chymopapain, and papain. Two hundred one-day-old Cobb strain broiler chicks were randomly allocated to five dietary treatments with four replicates per treatment, and each replicate consisted of ten birds. During the … …American Journal of Animal and Veterinary Sciences, Vol. 21, Issue 1 · 13 Apr 2026 · 1,900 accessesView PDF Cite

Research ArticleOpen accessIn the abstractWeb Based Multi Feature Propagation Analysis Model for Efficient Disease Interference and Recommendation Using Deep LearningM. Manoj Kumar, R. SivaAccurate prediction of chronic diseases is critical for proactive healthcare management. This paper proposes a Multi-feature Propagation Analysis-based Deep Learning Model (MPADM) to address this challenge. The model integrates diverse patient data, including medical, diagnostic, genetic, and historical features, collected from multiple sources. After preprocessing, the network is trained to calculate distinct Propagation Weights (PWs) for each feature category, Diagnosis … …Journal of Computer Science, Vol. 21, Issue 11 · 29 Jan 2026 · 1,709 accessesView PDF Cite

Research ArticleOpen accessIn the abstractRelationship between Volumetric Water Footprint with Carcass and Meat Quality Characteristics Under Intensive Beef Cattle Production in South AfricaTinny Noluthando Macamba, Takalani Judas Mpofu, Khathutshelo Agree Nephawe et al.As water accessibility becomes more challenging due to the increasing human population and agricultural competition, it is crucial to select beef cattle with optimal water efficiency. The study aimed to investigate the relationship between volumetric water footprint with carcass and meat quality of beef cattle under an intensive production system. Thirty-three (33) beef cattle weaners of three different body frame … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 3 · 12 Oct 2024 · 4,728 accessesView PDF Cite