Genotype-by-environment interaction across THI classes impacts the selection for body weight at young ages in meat quails by Arícia Chaves Zanetti Reis, Daniele Botelho Diniz Marques, Delvan Alves da Silva, Alessandra Alves da Silva, Eula Regina Carrara, Leila de Genova Gaya, Paulo Sávio Lopes, Luiz F. Brito, Renata Veroneze

“…This study reinforces the relevance of the effect of THI on animal performance, highlighting the need to consider them in analyses for selecting superior and more resilient animals.…”
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High-Throughput Field Screening of Cassava Brown Streak Disease Resistance for Efficient and Cost-Saving Breeding Selection by Mouritala Sikirou, Najimu Adetoro, Samar Sheat, Eric Musungayi, Romain Mungangan, Miafuntila Pierre, Kayode Fowobaje, Ibnou Dieng, Zoumana Bamba, Ismail Rabbi, Hapson Mushoriwa, Stephan Winter

“…Grafted plants were inspected for virus symptoms and additionally tested by RT-qPCR for sensitive detection of the viruses. …”
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Abstract 203: Predicting Outcomes After Mechanical Thrombectomy: Early vs Delayed Neurological Improvement in the SELECT Database by K. Rose Duncan, Deep Pujara, Amrou Sarraj

“…Methods Patient data from the SELECT database was retrospectively analyzed. The SELECT study was a prospective, non‐randomized, multicenter cohort study that enrolled patients with acute ischemic stroke due to anterior circulation large vessel occlusion at nine US centers between 1/2016 and 2/2018, with patients falling into either the mechanical thrombectomy or medical management arm. …”
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Improving the performance of machine learning algorithms for detection of individual pests and beneficial insects using feature selection techniques by Rabiu Aminu, Samantha M. Cook, David Ljungberg, Oliver Hensel, Abozar Nasirahmadi

“…The proposed explainable artificial intelligence feature selection method was compared to conventional feature selection techniques, including mutual information, chi-square coefficient, maximal information coefficient, Fisher separation criterion and variance thresholding. …”
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Selective Deletion of HLA-B, and -C Class I Genes Promotes Immunocompatibility of Humanized Skin Graft Model by Cobos-Figueroa L, Notario L, Mir C, Molpeceres C, Lauzurica S, López D, Lorente E, Lauzurica P

“…In these latter mice, unlike the parental JY cell line, the edited cells did not induce a CD8 T cell response in vitro, suggesting that the selective deletion of HLA-B and -C may contribute to improve skin graft compatibility.Conclusion: This genetic engineering approach, repeated without modification for the five HLA-A class I most common alleles known to be associated with HLA-B7 and -C7 in the same haplotype, would cover 83.4% of the world population. …”
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Selecting of statins optimum dosage regimen in patients with acute Q-wave myocardial infarction after thrombolytic therapy by V. D. Syvolap, S. M. Kyselov, A. A. Alferov

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Enhancing Supplier Ealuation and Selection in Supply Chain Using a PROMETHEE-Based Decision-Making Support System by Marzieh Afshari, Hassan Farsijani

“…For this purpose, first, the proposed criteria for supplier selection are identified. Then, PROMETHE and F-ANP methods are used to determine the impact of each criterion in the selection and evaluation of suppliers. …”
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Prediction of High-ozone Events Using GAM, SMOTE, and Tail Dependence Approaches in Texas (2005–2019) by Benjamin Brown-Steiner, Xiong Zhou, Matthew J. Alvarado, Brook T. Russell

“…We also compare the feature selection capabilities of the tail dependence approach to other feature selection methods. …”
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Data-enriched prediction of insurance risk by Ruo Jia, Shaoran Li, Ye Yin

“…We demonstrate that both big data and the Least Absolute Shrinkage and Selection Operator (LASSO) approach, a modern predictor selection technique, effectively improve insurance risk assessment accuracy. …”
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Determination of Agronomic Properties of Local Swiss Chard (Beta vulgaris L. var. cicla) Genotypes by Emre DEMİREL, M. Kadri BOZOKALFA

“…It is a valuable plant for breeding programs due to its low selectivity in terms of climate and soil properties, resistance genes to diseases and pests contains the important nutriencompounds. …”

Unveiling Resistance and Virulence Mechanisms under Darwinian Positive Selection for Novel Drug Discovery for <i>Gardnerella vaginalis</i> by Eduarda Guimarães Sousa, Andrei Giacchetto Felice, Fabiana Vieira Dominici, Arun Kumar Jaiswal, Mariana Letícia Costa Pedrosa, Luiza Pereira Reis, Lucas Gabriel Rodrigues Gomes, Vasco Ariston de Carvalho Azevedo, Siomar de Castro Soares

“…Additionally, two potential protein candidates were selected as drug targets. …”
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Genomic Selection for Early Growth Traits in Inner Mongolian Cashmere Goats Using ABLUP, GBLUP, and ssGBLUP Methods by Tao Zhang, Linyu Gao, Bohan Zhou, Qi Xu, Yifan Liu, Jinquan Li, Qi Lv, Yanjun Zhang, Ruijun Wang, Rui Su, Zhiying Wang

“…This study aimed to identify the best model and method for the genomic selection of early growth traits in Inner Mongolian cashmere goats (IMCGs). …”
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SAB: Self-Adaptive Bias by Suchan Choi, Jinyoung Oh, Jeong-Won Cha

“…Additionally, to mitigate learning bias, we introduced a variable that adjusts the range of sample selection according to the progress of the training. …”
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Feature importance analysis for spammer detection in Sina Weibo by Yu-xiang ZHANG, Yu SUN, Jia-hai YANG, Da-lei ZHOU, Xiang-fei MENG, Chun-jing XIAO

“…It is tried to address these questions through combining different feature selection methods with different classifiers on a real Sina Weibo dataset.Experimental results show that selected features are more important than novel classifiers for spammer detection.In addition,features should be derived from a wide range,such as text contents,user behaviors,and social relationship,and the dimension of features should not be too high.These results will be useful in finding the breakpoint of Microblog anti-spam works in the future.…”
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An attack detection method based on deep learning for internet of things by Yihan Yu, Yu Fu, Taotao Liu, Kun Wang, Yishuai An

“…However, current attack detection methods struggle to identify complex and variable attack methods, resulting in a high false positive rate. Additionally, feature redundancy and class imbalance in IoT traffic datasets also constrain detection performance. …”
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Distinct virulence of the microsporidian parasite in honey bees competing habitat by Xiuxiu Wei, Qiang Huang

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Air temperature estimation and modeling using data driven techniques based on best subset regression model in Egypt by Ahmed Elbeltagi, Dinesh Kumar Vishwakarma, Okan Mert Katipoğlu, Kallem Sushanth, Salim Heddam, Bhaskar Pratap Singh, Abhishek Shukla, Vinay Kumar Gautam, Chaitanya Baliram Pande, Saddam Hussain, Subhankar Ghosh, Hossein Dehghanisanij, Ali Salem

“…Five machine learning models—linear regression (LR), additive regression (AR), support vector machine (SVM), random subspace (RSS), and M5 pruned (M5P)—were compared for Tmax and Tmin forecasting in Gharbia Governorate, Egypt, using data from 1979 to 2014. …”
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Delivery Route Management based on Dijkstra Algorithm by Ng Lih Sheng, Nureize Arbaiy, Chuah Chai Wen Wen, Pei-Chun Lin

“…For businesses that provide delivery services, the efficiency of the delivery process in terms of punctuality is very important. In addition to increasing customer trust, efficient route management, and selection are required to reduce vehicle fuel costs and expedite delivery. …”
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Evolutionary Optimization for the Classification of Small Molecules Regulating the Circadian Rhythm Period: A Reliable Assessment by Antonio Arauzo-Azofra, Jose Molina-Baena, Maria Luque-Rodriguez

“…We applied a genetic algorithm to optimize feature selection and classification performance. Several tree-based learning classification algorithms (Decision Trees, Extra Trees, Random Forest, XGBoost) and a distance-based classifier (<i>k</i>NN) were employed. …”
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Soil liquefaction assessment using machine learning by Gamze Maden Muftuoglu, Kaveh Dehghanian

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