iCARE: An R package to build, validate and apply absolute risk models. by Parichoy Pal Choudhury, Paige Maas, Amber Wilcox, William Wheeler, Mark Brook, David Check, Montserrat Garcia-Closas, Nilanjan Chatterjee

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The Fetal Region-specific Optimized Growth Standard (FROGS)-A fetal and birthweight centile calculator validated in a national population. by Natasha L Pritchard, Stephen Tong, Teresa MacDonald, Elizabeth McCarthy, Lisa Hui, Michael Bethune, Hannah G Gordon, Roxanne Hastie, Emerson Keenan, Michael Permezel, Susan P Walker, Anthea C Lindquist

“…This study is limited in that it retrospectively assesses birthweight, which may have different implications to a prospective evaluation of estimated fetal weight.…”
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Multi-omics analyses of the heterogenous immune microenvironment in triple-negative breast cancer implicate UQCRFS1 potentiates tumor progression by Yuhui Tang, Aiqi Xu, Zhongbiao Xu, Jindong Xie, Wei Huang, Liulu Zhang, Yitian Chen, Lu Yang, Shasha Du, Kun Wang

“…Methods The thorough analyses of different cell types within TME were conducted on the self-tested single-cell RNA sequencing dataset which contained nine TNBC treatment-naïve patients, including subclusters classification, CellChat algorithm, transcription factors (TFs) expression, pseudotime analysis and functional enrichment assay. …”
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Impact of dimensionality reduction techniques on student performance prediction using machine learning by Koushik Roy, Huu-Hoa Nguyen, Dewan Md. Farid

“…This reduction in dimensionality enhances the performance of predictive models and provides valuable insights into the key factors influencing student performance. The study evaluates ADRA using four different student performance datasets and six machine learning algorithms, comparing it to three existing dimensionality reduction methods. …”
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Somatostatin receptor molecular imaging in a misdiagnosed gastrinoma case by Cati Stolniceanu, Irena Grierosu, Milovan Matovic, Cipriana Stefanescu

“…In the approach to the patient with tremendous digestive symptomatology, physicians from different specialties should evaluate NETs specific markers and then insist on structural-functional complementarity, avoiding the waste of time and high cost of repeated structural investigations. …”
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The PROMISE of Precision Medicine in Myocardial Infarction with Non-Obstructive Coronary Arteries by Giulia La Vecchia, Vincenzo Scarica, Ludovica Leo, Rocco A. Montone

“…However, due to the heterogeneous nature of this clinical condition and the absence of randomized clinical trials, evidence supporting a standardized diagnostic algorithm and the clinical management of these patients is lacking. …”
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Sample Training Based Wildfire Segmentation by 2D Histogram θ-Division with Minimum Error by Jianhui Zhao, Erqian Dong, Mingui Sun, Wenyan Jia, Dengyi Zhang, Zhiyong Yuan

“…A novel wildfire segmentation algorithm is proposed with the help of sample training based 2D histogram θ-division and minimum error. …”
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A Robust Watermarking Scheme Based on Maximum Wavelet Coefficient Modification and Optimal Threshold Technique by Chunlei Li, Xiaowei Song, Zhoufeng Liu, Aihua Zhang, Ruimin Yang

“…This paper proposes a robust watermarking algorithm based on maximum wavelet coefficient modification and optimal threshold technique. …”
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Identification of Energy Metabolism-Related Subtypes and Diagnostic Biomarkers for Osteoarthritis by Integrating Bioinformatics and Machine Learning by Xu S, Ye J, Cai X

“…We assessed the immune infiltration levels in OA samples using the IOBR platform and the CIBERSORT algorithm.Results: We classified OA patients into two molecular subtypes, which exhibited distinct differences in immune infiltration levels. …”
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Hybrid Modeling of an Induction Machine to Support Bearing Diagnostics by Praneet Amitabh, Dimitar Bozalakov, Frederik De Belie

“…Therefore, the current measurements were taken for several bearings with different fault severity. These measurements are processed and quantified such that the net outcome can express the evolution of the signature with increasing fault severity. …”
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Self-Adaptive MOEA Feature Selection for Classification of Bankruptcy Prediction Data by A. Gaspar-Cunha, G. Recio, L. Costa, C. Estébanez

“…Bankruptcy prediction is a vast area of finance and accounting whose importance lies in the relevance for creditors and investors in evaluating the likelihood of getting into bankrupt. …”
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Flame Failures and Recovery in Industrial Furnaces: A Neural Network Steady-State Model for the Firing Rate Setpoint Rearrangement by Tahmineh Adili, Zohreh Rostamnezhad, Ali Chaibakhsh, Ali Jamali

“…For this purpose, based on an accurate high-order mathematical model, constrained nonlinear optimization problems were solved using the genetic algorithm. For different failure scenarios, the best possible excess firing rates for healthy burners to recover the furnace from abnormal conditions were obtained and data were recorded for training and testing stages. …”
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Preserving information while respecting privacy through an information theoretic framework for synthetic health data generation by Nadir Sella, Florent Guinot, Nikita Lagrange, Laurent-Philippe Albou, Jonathan Desponds, Hervé Isambert

“…Here, we introduce a novel algorithm (MIIC-SDG) for generating synthetic data from electronic records based on a multivariate information framework and Bayesian network theory. …”
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Investigation of the positioning accuracy of the Cat’s Eye as a reference position in asphere-measuring interferometry by Scholz Gregor, Evers Daniel, Fortmeier Ines

“…This work presents a multi-step specimen positioning procedure that uses the Cat’s Eye reference position as a fixed reference position. Different alignment criteria are evaluated by simulation and implemented into an alignment algorithm for specimen alignment into the Cat’s Eye position. …”
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Cluster-based efficient information dissemination in dynamic networks by Zhiwei Yang, Weigang Wu, Yong Li, Yishun Chen

“…The correctness of our algorithms is proved rigorously, and their performance is evaluated via both numerical analysis and simulations. …”
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BIMLP Model Based on Deep Learning for Predicting Electrical Load Demand by Somayeh Talebzadeh, Reza Radfar, Abbas Toloei Ashlaghi

“…The results of implementing and evaluating the proposed system demonstrate its satisfactory performance compared to existing techniques.…”
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Feature Representation Using Deep Autoencoder for Lung Nodule Image Classification by Keming Mao, Renjie Tang, Xinqi Wang, Weiyi Zhang, Haoxiang Wu

“…Experimental results with regard to different parameter setting, data augmentation, model sparsity, classifier algorithms, and model ensemble validate the effectiveness of our proposed approach.…”
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An improved Harris corner detection method for honeycomb structures by Pengfei Zheng, Wilson Byiringiro, Weiwei Xie, Zhengkai Jiang, Can Cui, Yongjun Wu

“…Comparative experiments demonstrate that the proposed method outperforms conventional algorithms, achieving an accuracy of 99.5%. In addition, a cell reconstruction approach is introduced to form a measurable honeycomb Y-shaped structure, accompanied by a regularity evaluation method based on the consistency of the side lengths and internal angles. …”
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Changes the Ocular Surface after Corneal Refractive Surgery. Review by S. V. Trufanov, E. V. Sukhanova, A. A. Tyurina

“…However, at present time there is no unique algorithm for assessing the damage of the ocular surface before and after corneal refractive surgery, which would include a set of high-precision and specific techniques for quickly and reliably evaluate the severity of dry eye syndrome, allowing to develop preventive measures and pathogenetically oriented treatment and, thereby, accelerate rehabilitation of patients after surgery. …”
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Deep Learning Based Channel Estimation for UAVs: A Modified U-Net Approach by GUPTA, C., YADAV, S. S.

“…The proposed model has also been evaluated for three different modulation schemes, i.e., QPSK, 16-QAM, and 64-QAM and the complexity analysis has been done to strengthen our studies further.…”
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