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Relevant bibliographies by topics / Cv. Novirex

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Journal articles

Academic literature on the topic 'Cv. Novirex'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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Journal articles on the topic "Cv. Novirex"

1

Pinto, Cleide M. F., Rogério F. Vieira, Clibas Vieira, and Marília T. Caldas. "Idade de colheita do feijão-vagem anão cultivar Novirex." Horticultura Brasileira 19, no. 2 (2001): 163–67. http://dx.doi.org/10.1590/s0102-05362001000200015.

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Foram conduzidos três ensaios, dois em Viçosa e um em Coimbra, municípios da Zona da Mata de Minas Gerais, com o objetivo de se determinar a melhor idade de colheita do feijão-vagem cv. Novirex, de hábito de crescimento determinado (tipo I). Em Viçosa, os ensaios foram instalados em 16/04/97 e 12/08/97 e em Coimbra, em 19/03/98. Irrigação e controle de insetos foram feitos quando necessários. Foi utilizado o espaçamento entre fileiras de 0,5 m, com aproximadamente 15 sementes por metro. Foram avaliadas cinco idades de colheita, em intervalos de dois a quatro dias. A primeira colheita foi reali

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2

João, Roberto Mello Rodrigues, Antônio Silva Rogério, César de Souza Julio, et al. "Influence of silicon, nitrogen and molybdenum doses on the production of bean pods." International Journal of Environmental & Agriculture Research 5, no. 2 (2019): 01–06. https://doi.org/10.5281/zenodo.2578694.

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<em>The snap beans is greatly appreciated and consumed by Brazilians, and the snap beans commercial seeds are divided into indeterminate growth habit and determined. Farmers most often plant indeterminate growth habit bean-pod, so the fertilizer recommendations are for this habit. Due to the availability of determinate growth habit cultivars, it is necessary to study the nutrition area, because they have the shortest cycle, flowering and pod production in concentrated period, smaller spacing and planting densities with greater influence in the population by ha. The study aimed to evaluate the

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3

Heij, G., and J. Kobryn. "Influence of day temperature and salt concentration on the incidence of sponginess in radish tubers (Raphanus sativus L.)." Netherlands Journal of Agricultural Science 36, no. 3 (1988): 309–13. http://dx.doi.org/10.18174/njas.v36i3.16683.

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Sponginess in radishes, cv. Novired, was studied in greenhouse pot experiments at different EC levels (1, 4 and 8 dS/m, 25 degrees C) of the nutrient solution applied and at 5/7 degrees and 5/12 degrees C temperatures. Increased EC and a low daytime temperature reduced the incidence of sponginess. (Abstract retrieved from CAB Abstracts by CABI’s permission)

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Allgaier, Johannes, and Rüdiger Pryss. "Cross-Validation Visualized: A Narrative Guide to Advanced Methods." Machine Learning and Knowledge Extraction 6, no. 2 (2024): 1378–88. http://dx.doi.org/10.3390/make6020065.

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This study delves into the multifaceted nature of cross-validation (CV) techniques in machine learning model evaluation and selection, underscoring the challenge of choosing the most appropriate method due to the plethora of available variants. It aims to clarify and standardize terminology such as sets, groups, folds, and samples pivotal in the CV domain, and introduces an exhaustive compilation of advanced CV methods like leave-one-out, leave-p-out, Monte Carlo, grouped, stratified, and time-split CV within a hold-out CV framework. Through graphical representations, the paper enhances the co

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5

Zhang, Baifa, and Zhi-Cheng Lin. "Comparative Analysis of Shooting Consistency Among Archers of Different Skill Levels." Quality in Sport 36 (December 20, 2024): 56935. https://doi.org/10.12775/qs.2024.36.56935.

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Purpose: This study aimed to investigate the biomechanical and electromyographic factors underlying shooting consistency among archers of different skill levels, providing insights into performance optimization and training strategies. Methods: The study analyzed 28 left-handed archers, including elite, mid-level, and novice athletes. Using an eight-camera infrared motion capture system and a wireless surface EMG system, kinematic and muscle activity data were collected for key upper limb muscles during two action phases: drawing and aiming. Coefficients of variation (CV) were calculated for b

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6

Aqilla, Talcha, Nanda Rizki Purnama, Adli Waliul Perdana, et al. "The Process of freezing skipjack tuna (Katsuwonus Pelamis) in CV. Novira Abadi." Jurnal Kelautan dan Perikanan Indonesia 3, no. 1 (2023): 1–10. http://dx.doi.org/10.24815/jkpi.v3i1.28674.

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Skipjack tuna is one of the marine products that is often consumed by the community. Skipjack tuna with good quality requires special handling, namely the fish freezing method. Freezing skipjack tuna aims to maintain the quality and freshness of the fish in the long term. The freezing process can inhibit bacterial growth, enzyme activity or oxygen oxidation which causes quality deterioration (decay) and causes damage to fish. The purpose of this field work practice service is to find out the process of freezing skipjack tuna (Katsuwonus pelamis) which is carried out at CV. Novira Abadi Banda A

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7

Reezigt, Roland R., Geranda E. C. Slager, Michel W. Coppieters, and Gwendolyne G. M. Scholten-Peeters. "Novice assessors demonstrate good intra-rater agreement and reliability when determining pressure pain thresholds; a cross-sectional study." PeerJ 11 (January 4, 2023): e14565. http://dx.doi.org/10.7717/peerj.14565.

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Background Experienced assessors show good intra-rater reproducibility (within-session and between-session agreement and reliability) when using an algometer to determine pressure pain thresholds (PPT). However, it is unknown whether novice assessors perform equally well. This study aimed to determine within and between-session agreement and reliability of PPT measurements performed by novice assessors and explored whether these parameters differed per assessor and algometer type. Methods Ten novice assessors measured PPTs over four test locations (tibialis anterior muscle, rectus femoris musc

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8

I.V., Dwaraka Srihith, David Donald A., Aditya Sai Srinivas T., Thippanna G., and Vijaya Lakshmi P. "From Novice to Expert: A Journey into Training Machine Learning Models." Research and Applications of Web Development and Design 6, no. 3 (2023): 26–29. https://doi.org/10.5281/zenodo.8378857.

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<em>Machine learning has evolved into a priceless asset for tackling complex obstacles across a wide range of disciplines, including Computer Vision(CV), Natural Language Processing(NLP), healthcare, and finance. At the core of machine learning lies the training process, wherein model parameters are optimized to make precise predictions on unseen data. For beginners venturing into this domain, it is crucial to grasp the fundamentals of training machine learning models. This article serves as a comprehensive guide, specifically focusing on training machine learning models using Python. Step-by-

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9

Quílez-Maimón, Arturo, Francisco Javier Rojas-Ruiz, Gabriel Delgado-García, and Javier Courel-Ibáñez. "The Q-Pass Index: A Multifactorial IMUs-Based Tool to Assess Passing Skills in Basketball." Sensors 21, no. 13 (2021): 4601. http://dx.doi.org/10.3390/s21134601.

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Despite being a key sport-specific characteristic in performance, there is no practical tool to assess the quality of the pass in basketball. The aim of this study is to develop a tool (the quality-pass index or Q-Pass) able to deliver a quantitative, practical measure of passing skills quality based on a combination of accuracy, execution time and pass pattern variability. Temporal, kinematics and performance parameters were analysed in five different types of passes (chest, bounce, crossover, between-the-leg and behind-the-back) using a field-based test, video cameras and body-worn inertial

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Mtaho, Adam Basigie, Leonard J. Mselle та Masoud M. Masoud. "Влияние использования конгруэнтного подхода к визуализации на изучение курса CS2". Education & Pedagogy Journal, № 2(6) (14 липня 2023): 60–76. http://dx.doi.org/10.23951/2782-2575-2023-2-60-76.

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The majority of computer science (CS) educationists agree that learning the Data Structures course (CS2) is very difficult among novices due to its complexity. Consequently, learning the Data Structures course has been associated with a high failure rate. To enable learners understand data structures, algorithms visualizations (AVs) were proposed. Despite the long-term use of AVs in teaching and learning data structures, research shows that such tools have not been as pedagogically effective as expected. This study aimed to evaluate the effectiveness of using a congruent visualization (CV) fra

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