FIELD ASSESSMENT OF ACCESSIONS FROM THE MAIZE COLLECTION FOR RESISTANCE TO BOIL SMUT by V. N. Boyko

“…The efficiency of heterotic breeding is determined by reasonable selection of the lines with the best combining abilities and important breeding traits. …”
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Development and psychometric testing of the family caregiver self-efficacy scale for patients in the early post-coronary artery bypass grafting. by Shiqi Zhou, Yinghong Zhang, Yuting Liu, Qi Yang, Pan Peng, Li Geng, Liu Hu

“…<h4>Methods</h4>Based on self-efficacy theory, the initial scale was formed by the literature review, semi-structured interviews, Delphi expert consultation, and pre-survey. …”
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Postural instability and gait disturbance are associated with abnormal stereopsis in Parkinson's disease. by Jungyeun Lee, Sung Hoon Kang, Seong-Beom Koh

“…Stereopsis testing was performed only once at the time of the patient's initial PD diagnosis. We collected data from medical history taking, scales, cognitive function tests, gait analysis, and tilt table tests. …”
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An Improved AMCL Algorithm Based on Laser Scanning Match in a Complex and Unstructured Environment by Gang Peng, Wei Zheng, Zezao Lu, Jinhu Liao, Lu Hu, Gongyue Zhang, Dingxin He

“…The weighted mean pose of AMCL particle swarm is used as the initial pose of the scan matching process. The LIDAR point cloud is matched with the probability grid map from coarse to fine using the Gaussian-Newton method, which results in more accurate poses. …”
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The variations in the spontaneous combustion characteristics of coal during primary and secondary oxidation under varying particle sizes by Peitao Zhu, Zhenya Zhang, Zihao Chai, Yaxian Yu

“…The results indicate that smaller particle size leads to higher rates of O2 consumption, CO generation, and heat release intensity in coal samples; The O2 consumption rate, CO generation rate, and heat release intensity during the secondary oxidation of coal samples are relatively high in the initial stage of the experiment. However, in the later stage of the experiment, there is a reversal in these parameters; the selection of the most appropriate model from the 22 commonly observed reaction kinetics mechanism functions revealed that the apparent activation energy of the coal sample decreases during secondary oxidation compared to primary oxidation within the temperature range of 80℃ to 130℃. …”
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Boosting graph search with attention network for solving the general orienteering problem by Zongtao Liu, Wei Dong, Chaoliang Wang, Haoqingzi Shen, Gang Sun, Qun jiang, Quanjin Tao, Yang Yang

“…However, these models are limited to accepting only the coordinates of nodes as input, disregarding the self-referential nature of the studied routing problems, and failing to account for the low reliability of node selection in the initial stages, thereby posing challenges for real-world applications.In this paper, we take the orienteering problem as an example to tackle these limitations in the previous studies. …”
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Siting and Sizing Method of GFM Converters Based on Genetic Algorithm by Wentao Sun, Yi Ge, Guojing Liu, Hui Cai, Quanquan Wang, Xingning Han, Wanchun Qi

“…Additionally, a strategic approach to optimal location selection and sizing of these substations aimed at enhancing the SCR within new energy grids is proposed, with the model being solved through genetic algorithms. …”
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Proteomic alterations in ovarian cancer—Predicting residual disease status using artificial intelligence and SHAP-based biomarker interpretation by Seyma Yasar, Rauf Melekoglu

“…Patients were categorized into two groups based on surgical outcomes: no residual disease (R0, n = 14) and suboptimal residual disease (R1, n = 6). From an initial set of 97 differentially expressed proteins, 18 significant proteins were selected using the BORUTA feature selection method. …”
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Role of stem cells on motor function recovery in stroke patients: systematic review by Babita Raghuwanshi, Suresh K. Thanneeru, Roshan Chanchalani, Sumit Raj, Pradeep Chouksey, Md Yunus, Amit Agrawal

“…Results The initial search identified a substantial number of studies. …”
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A two-stage approach to enhancing biofuel supply chains through predictive and optimization analytics by Mehdi Soltani Tehrani, Siamak Noori, Ehsan Dehghani

“…This study introduces a comprehensive two-stage optimization framework to advance the design and operation of biofuel supply chains. In the initial stage, a novel hybrid methodology integrates data envelopment analysis with artificial neural networks to identify optimal sites for agricultural waste collection facilities. …”
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Method for detection of cerebral blood flow in neurointensive care using longitudinal arterial spin labeling MRI. by Sofie Tapper, Anders Tisell, Jan Hillman, Karin Wårdell

“…To ensure accurate day-to-day comparisons between the repeated measurements, the selection of processing and analysis methods aimed to obtain CBF maps in absolute units of ml/min/100g. …”
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Evaluation of promising varieties of leeks as sources of early maturity, yield, commercial product in the North Caucasus of Russia by L. N. Novikova, B. N. Novikov

“…The isolated sources of valuable traits are recommended as a starting material for the selection of leeks.…”
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Natural time analysis of the corrected Mexican seismic catalog using complexity measures by Alejandro Ramírez-Rojas, Leonardo Di G Sigalotti, Elsa L Flores-Márquez

“…The analysis is based on a novel procedure for performing the window selection of events in natural time. In this method, which we term window lengthening , the time series of seismic parameters are calculated by consecutively increasing the length of the initial window by one event so that the last window contains the entire catalog. …”
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Predictive modeling of punchouts in continuously reinforced concrete pavement: a machine learning approach by Ghazi Al-Khateeb, Ali Alnaqbi, Waleed Zeiada

“…A correlation heatmap matrix is utilized to elucidate the relationships between these attributes and punchouts, guiding the selection of features for modeling. By employing the random forest algorithm, key predictors like age, climate zone, and total thickness are identified. …”
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Human autonomy teaming-based safety-aware navigation through bio-inspired and graph-based algorithms by Timothy Sellers, Tingjun Lei, Chaomin Luo, Zhuming Bi, Gene Eu Jan

“…An integral component of this system is the improved Node Selection Algorithm (iNSA), which utilizes the revised Grey Wolf Optimization (rGWO) for better adaptability and performance. …”
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THE METHOD OF FORMING A RATIONAL ASPECT OF THE ONBOARD COMPLEX OF RADAR DEFENSE UNMANNED AERIAL VEHICLE by A. B. Guseynov, A. V. Makhovykh

“…The structural and logical scheme for solving the problem for a given technical assignment for the design of an unmanned aerial vehicle includes the following steps: the formation of the initial information and the development of a "support" version of the aircraft structure; formation of a morphological matrix of design decisions on aircraft; compatibility assessment, constraint systems and identification of feasible solutions; generation of permissible variants of appearance; preliminary analysis of the permissible variants of the appearance and selection of the preferred ones; quantitative structural-parametric synthesis of the visually perceptible unmanned aircraft.…”
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An Accurate Book Spine Detection Network Based on Improved Oriented R-CNN by Haibo Ma, Chaobo Wang, Ang Li, Aide Xu, Dong Han

“…To further optimize the anchor box design, we introduce an adaptive initial cluster center selection method for K-median clustering. …”
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Maize Seed Variety Classification Based on Hyperspectral Imaging and a CNN-LSTM Learning Framework by Shuxiang Fan, Quancheng Liu, Didi Ma, Yanqiu Zhu, Liyuan Zhang, Aichen Wang, Qingzhen Zhu

“…Spectral data were acquired by hyperspectral imaging technology from five maize varieties and processed using Savitzky–Golay (SG) smoothing, along with standard normal variate (SNV) preprocessing. To enhance feature selection, the competitive adaptive reweighted sampling (CARS) algorithm was applied to reduce redundant information, identifying 100 key wavelengths from an initial set of 774. …”
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Identification of ketamine and its metabolites in biological samples: A systematic review by Sanaz Pashapour

“…Results: Out of 3,450 articles identified in the initial systematic search, 50 met the inclusion criteria and were investigated in this study. …”
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Reproduction of reservoir pressure in oil field development: prospects and problems of using methods machine learning by I. N. Ponomarevа, D. A. Martyushev

“…This article presents the results of the study, which are reduced to multivariate testing of the neural network model previously developed by the authors to determine the dynamic reservoir pressure in the selection zones of oil wells. The model is characterized by a number of advantageous characteristics, including minimal requirements for the amount of initial data, which determines its relevance and practical demand. …”
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