GENOME-WIDE ANALYSES OF GENOMIC DIVERSITY, POPULATION STRUCTURE AND SELECTION SIGNATURES IN ITALIAN TURKEY POPULATIONS

Genome-wide analyses of genomic diversity, population structure and selection signatures in Italian turkey populations

Italian local turkey populations are an important source of genetic diversity that should be preserved through an in vivo approach.Whole genome sequencing (WGS) and genotyping datasets were used to assess genetic variability within and across populations, to perform a genome-wide comparative analysis among populations and to identify selection sign

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PEMBELAJARAN PENJUMLAHAN BILANGAN PECAHAN DENGAN METODE CONTEXTUAL TEACHING AND LEARNING (CTL) DI SD MUHAMMADIYAH PROGRAM KHUSUS, KOTA BARAT, SURAKARTA

This study is aimed to describe the lesson plan, teaching learning process of sum of fractions based of Contextual Teaching and Learning (CTL), and the motivation of learners attend classes in learning.This study used a qualitative approach.The type of research is a case study.Validation of data Glazing Hardware is done through triangulation.Data w

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Improved Feature Selection and Stream Traffic Classification Based on Machine Learning in Software-Defined Networks

Traffic classification (TC) in software-defined networks (SDN) using machine learning (ML) appears to be a viable option for improving network management.TC improves SDN operability, while SDN speeds up the feature selection (FS) process, especially when ML is used as a classification mechanism to extract measurements and related information from i

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Evaluating the Performance of Pulsed and Continuous-Wave Lidar Wind Profilers with a Controlled Motion Experiment

While floating wind lidars provide reliable and cost-effective measurements, these measurements may be inaccurate due to the motion BENGAL SPICE of the installation platforms.Prior studies have not distinguished between systematic errors associated with lidars and errors resulting from motion.This study will fill this gap by examining the impact of

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