Identification of immune-related biomarkers linked to systemic lupus erythematosus and dilated cardiomyopathy through integrated bioinformatics analysis and multiple machine learni... by Gaijie Li, Liwen Lin, Shushu Wang, Kachun Lu, KaMan Szeto, Guiting Zhou, Xianwen Tang, Chuanjin Luo, Chuanjin Luo

“…Through machine learning algorithms and dataset validation, we further identified the HERC6 and IFI44L genes as important diagnostic markers for SLE-related DCM. …”
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A Coherent Approach-Based Fine-Tuning of Segment Anything Model Plus Watershed Algorithm for Instance Segmentation of Mitochondria in Electron Microscopy Images by Zahra Faska, Lahbib Khrissi, Imadeddine Mountasser, Khalid Haddouch, Nabil El Akkad, Samah Alshathri, Walid El-Shafai

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A continuous responder algorithm to optimize clinical management of small-cell lung cancer with progastrin-releasing peptide as a simple blood test by Thomas Muley, Xiaotong Zhang, Stefan Holdenrieder, Catharina M Korse, Xiu-yi Zhi, Rafael Molina, Zhongjuan Liu, Gunther Hartmann, Michel M van den Heuvel, Kun Qian, Ramon Marrades, Christine Engel, Ying He, Birgit Wehnl, Farshid Dayyani, Felix Herth

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A Deep Learning Model for Identifying the Risk of Mesenteric Malperfusion in Acute Aortic Dissection Using Initial Diagnostic Data: Algorithm Development and Validation by Zhechuan Jin, Jiale Dong, Chengxiang Li, Yi Jiang, Jian Yang, Lei Xu, Ping Li, Zhun Xie, Yulin Li, Dongjin Wang, Zhili Ji

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Validation of Deep Learning–Based Automatic Retinal Layer Segmentation Algorithms for Age-Related Macular Degeneration with 2 Spectral-Domain OCT Devices by Souvick Mukherjee, PhD, Tharindu De Silva, PhD, Cameron Duic, BS, Gopal Jayakar, BS, Tiarnan D.L. Keenan, BM BCh, PhD, Alisa T. Thavikulwat, MD, Emily Chew, MD, Catherine Cukras, MD, PhD

“…The training of deep learning algorithms necessitates well-defined ground truth labels, validated by experts, to delineate boundaries accurately. …”
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Validation of three models (Tolcher, Levine, and Burke) for predicting term cesarean section in Chinese population by Fangcan Sun, Minhong Shen, Bing Han, Youguo Chen, Fangfang Wu

“…Conclusion: These three models may not be suitable for predicting CS for Chinese population. …”
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Computer-Aid System for Automated Jaundice Detection by Ahmad Yaseen Abdulrazzak, Saleem Latif Mohammed, Ali Al-Naji, Javaan Chahl

“… At the beginning of their lives, newborns may have a widespread condition known as Jaundice or Hyperbilirubinemia. …”
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Swiftly identifying strongly unique k-mers by Jens Zentgraf, Sven Rahmann

“…However, they are not necessarily robust: A single basepair change may turn a unique k-mer into a different one that may in fact be present at one or more different locations, which may give confusing or contradictory information when attempting to place a read by its k-mer content. …”
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Counting touching wheat grains in images based on elliptical approximation by D. R. Avzalov, E. G. Komyshev, D. A. Afonnikov

“…However, in the case of touching grains, simple machine vision algorithms may lead to inaccuracies in determining the contours of individual grains. …”
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A new Hybrid Metaheuristic Model for Image Edge Detection by Adil Khalil, Adel Abed Al Wahaab, Ahmed Abbas

“…A metaheuristic model such as the Bat algorithm may offer appropriate parameters for the edge detection algorithm. …”
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Altered regional homogeneity in patients with unilateral acute open globe injury: a resting-state functional MRI study by Huang X, Li H, Ye L, Zhang Y, Wei R, Zhong Y, Peng D, Shao Y

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Analysis of CFAR Detection of Partially-Correlated Ï2 Targets in the Presence of Interferers by Mohamed B. EL_Mashade

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Coupling image denoising model based on total variation by Mei-ling WANG, Xian-chun ZHOU, Lin-feng ZHOU, Lan-fang SHI

“…The total variation (TV) model used in image denoising may produce “staircase effect”. A coupling image de-noising model based on total variation was proposed. …”
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Comparative Study on Hyperparameter Tuning for Predicting Concrete Compressive Strength by Jeonghyun Kim, Donwoo Lee

“…However, for Datasets 2 and 3, the performance improvement from the search algorithms was either insignificant or decreased. Despite these contrasting results, the post-analysis showed that the influence of each feature generally aligned with empirical knowledge across all datasets, suggesting that the Shapley additive explanations method alone may have limitations in pinpointing the causes of model overfitting.…”
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Redirected walking method considering the interaction between users by Sho Ri, Keigo Matsumoto, Takuji Narumi, Hideaki Kuzuoka

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Gender Identification Using Multilayer Perceptron (MLP) Neural Network, Genetic Neural Network and Adaptive Neuro-Fuzzy Inference System (ANFIS) Network by Evanthia Kokkinaki

“…This study introduces and evaluates novel concepts and techniques for automatic gender identification. Several approaches may be identified, including the utilization of a multilayer perceptron neural network in conjunction with the adaptive neuro-fuzzy inference system algorithm and genetic algorithms to enhance the optimization of network weights. …”
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Applying GA for Optimizing the User Query in Image and Video Retrieval by Ehsan Lotfi

“…Retrieved answers are considered as the primary population for evolutionary optimization. The optimized query may be achieved through reproducing and minimizing the proposed measurement by using Genetic algorithm (GA). …”
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A dimension reduction assisted credit scoring method for big data with categorical features by Tatjana Miljkovic, Pei Wang

“…The evidence suggests that even small improvements in the accuracy of existing credit-scoring models may optimize profits while effectively managing risk exposure. …”
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SELP can affect the immune microenvironment of gastric cancer and is associated with poor prognosis by Yue Wu, Jingyu Liu, Tong Yin, Xiaoxiao Li, Xian Liu, Xiaobo Peng, Xianbao Zhan

“…In this study, we applied the ESTIMATE algorithm to calculate the number of immune and stromal components in 410 STAD cases in the Cancer Genome Atlas (TCGA) database. …”
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PEDAGOGICAL TECHNOLOGY AIMED AT STUDENTS’ ADAPTATION TO DISCIPLINE-BASED EDUCATION IN SECONDARY SCHOOLS by Ekaterina M. Cheprakova, Alexander A. Frolov

“…These objectives can be achieved through generation of skills based on the algorithmic of the concepts’ definitions mastering. …”
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