A numerical investigation of heat transfer performance in a prismatic battery cooling system using hybrid nanofluids by B. Venkateswarlu, Santosh Chavan, Sang Woo Joo, Sung Chul Kim, Kottakkaran Sooppy Nisar

“…Further, numerical simulations are performed for the model equation using the shooting process algorithm in MATLAB software. The results are analyzed to evaluate the coolant temperature, flow behavior, and heat transfer efficiency of the nanofluids surrounding the battery under varying factors. …”
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Prognostic significance of mast cell and microvascular densities in malignant peripheral nerve sheath tumor with and without neurofibromatosis type 1 by Roberto André Torres de Vasconcelos, Pedro Guimarães Coscarelli, Thyago Marsicano Vieira, Washington Silva Noguera, Davy Carlos Mendes Rapozo, Marcus André Acioly

“…MCD, MVD, and Ki‐67 labeling index (LI) were analyzed in all stained tissues by a computer‐based quantitative algorithm (Aperio ImageScope). In addition, chart review was performed for clinical data and survival analysis. …”
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Claim Amount Forecasting and Pricing of Automobile Insurance Based on the BP Neural Network by Wenguang Yu, Guofeng Guan, Jingchao Li, Qi Wang, Xiaohan Xie, Yu Zhang, Yujuan Huang, Xinliang Yu, Chaoran Cui

“…This paper uses a genetic algorithm to optimize the structure of the BP neural network at first, and the calculation speed is significantly improved. …”
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Hot deformation physical mechanisms and a unified constitutive model of a solid solution Ti55511 alloy deformed in the two-phase region by Huijie Zhang, Y.C. Lin, Gang Su, Yongfu Xie, Wei Qiu, Ningfu Zeng, Song Zhang, Guicheng Wu

“…Material constants are determined using a genetic algorithm (GA), and the experimental data align well with the predicted data. …”
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A Study of the Star Clusters’ Population in the Giant Molecular Cloud G174+2.5 by Tatyana A. Permyakova, Giovanni Carraro, Anton F. Seleznev, Andrej M. Sobolev, Dmitry A. Ladeyschikov, Maria S. Kirsanova

“…To evaluate the reddening, we use both the NICEST algorithm and the Q -method. Both methods produce consistent extinction maps in the regions of the four studied clusters. …”
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Structural Parameter Design of Magnetic Pulse Welding Coil for Dissimilar Metal Joints: Numerical Simulation, Parameter Optimization, and Experiments by Yangfan Qin, Changhui Ji, Hao Jiang, Yuefan Jiang, Junjia Cui, Guangyao Li

“…The optimal Latin hypercube sampling technique (OLHS), Kriging approximate model, and the Non-Linear Programming by Quadratic Lagrangian (NLPQL) algorithm were employed in the optimization procedure, based on the finite element model built in LS-DYNA. …”
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The Estimates of Retinal Ganglion Cell Counts Performed Better than Isolated Structure and Functional Tests for Glaucoma Diagnosis by Bruno L. B. Esporcatte, Andrea C. Kara-José, Luiz Alberto S. Melo, Luciano M. Pinto, Ivan M. Tavares

“…RGC count estimates were obtained using a previously described algorithm, which combines estimates of RGC numbers from SAP sensitivity thresholds and SD-OCT retinal nerve fiber layer (RNFL) average thickness. …”
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Breastfeeding and Neonatal Age Influence Neutrophil-Driven Ontogeny of Blood Cell Populations in the First Week of Human Life by Sebastiano Montante, Rym Ben-Othman, Nelly Amenyogbe, Asimenia Angelidou, Anita van den Biggelaar, Bing Cai, Yixuan Chen, Alansana Darboe, Joann Diray-Arce, Rebecca Ford, Olubukola Idoko, Amy Lee, Mandy Lo, Kerry McEnaney, Mehrnoush Malek, David Martino, Geraldine Masiria, Oludare A. Odumade, William Pomat, Casey Shannon, Kinga Smolen, The EPIC Consortium, Al Ozonoff, Peter Richmond, Scott Tebbutt, Ofer Levy, Beate Kampmann, Ryan Brinkman, Tobias Kollmann

“…The subsequent analysis was conducted at an unprecedented level of detail using flow cytometry and an unbiased automated gating algorithm. The results showed that WBC composition in peripheral blood changes along patterns highly conserved across populations and environments. …”
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Classification and Physical Characteristic Analysis of Fermi-GBM Gamma-Ray Bursts Based on Deep Learning by Jia-Ming Chen, Ke-Rui Zhu, Zhao-Yang Peng, Li Zhang

“…Additionally, we apply the optimal model to extract features from the count maps and visualize the extracted GRB features using the t-SNE algorithm, discovering two distinct clusters corresponding to S-type and L-type GRBs. …”
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Estimated inpatient malnutrition prevalence, screening tool utilization, and dietitian referral rates across hospitals during extension of phase 2 of More-2-Eat by Yingying Xu, Rachel A. Warren, Shirley M. Peters, Sonya Boudreau, Tina N. Strickland, Mari Somerville, Brenda L. MacDonald, Heather Keller, Leah E. Cahill

“…The Integrated Nutrition Pathway for Acute Care (INPAC) is a validated multi-step algorithm that includes screening using the Canadian Nutrition Screening Tool (CNST) and diagnosis using Subjective Global Assessment (SGA). …”
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Use of Resuscitative Endovascular Balloon Occlusion of the Aorta (REBOA) in Trauma Patients in French Level-1 Trauma Centers: A National Survey by Pauline Glasman, Thomas Clavier, Hervé Quintard, Jonathan Charbit

“…Results: Among the 41 French level-1 trauma centers, 18 (44%) had incorporated REBOA in their algorithm. In 2022, 78% (14/18) of these centers had experienced between 1 and 5 REBOA placements, 11% (2/18) between 6 and 10, and 6% (1/18) 10 or more placements. …”
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Delta-radiomics analysis based on magnetic resonance imaging to identify radiation proctitis in patients with cervical cancer after radiotherapy by Jing Xue, Menghan Wu, Jing Zhang, Jiayang Yang, Guannan Lv, Baojun Qu, Yanping Zhang, Xia Yan, Xia Yan, Jianbo Song, Jianbo Song

“…Logistic regression (LR), Pearson correlation coefficient, and least absolute shrinkage and selection operator (LASSO) methods were utilized to select optimal imaging features, leading to a combined prediction model developed using a random forest (RF) algorithm. Model performance was assessed using the area under the curve (AUC), DeLong test, calibration curve, and decision curve analysis (DCA), with Shapley Additive exPlanations (SHAP) values for interpretation.ResultsThe samples were split into training (70%) and validation (30%) sets. …”
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COOL-LAMPS. VII. Quantifying Strong-lens Scaling Relations with 177 Cluster-scale Strong Gravitational Lenses in DECaLS by Simon D. Mork, Michael D. Gladders, Gourav Khullar, Keren Sharon, Nathalie Chicoine, Aidan P. Cloonan, Håkon Dahle, Diego Garza, Rowen Glusman, Katya Gozman, Gabriela Horwath, Benjamin C. Levine, Olina Liang, Daniel Mahronic, Viraj Manwadkar, Michael N. Martinez, Alexandra Masegian, Owen S. Matthews Acuña, Kaiya Merz, Yue Pan, Jorge A. Sanchez, Isaac Sierra, Daniel J. Kavin Stein, Ezra Sukay, Marcos Tamargo-Arizmendi, Kiyan Tavangar, Ruoyang Tu, Grace Wagner, Erik A. Zaborowski, Yunchong Zhang, (COOL-LAMPS Collaboration)

“…Additionally, the correlations described here should have utility in ranking strong-lensing candidates in upcoming imaging surveys—such as Rubin/Legacy Survey of Space and Time—in which an algorithmic treatment of strong lenses will be needed due to the sheer volume of data these surveys will produce.…”
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Reconstruction and analysis of the gene regulatory network for cell wall function in <i>Arabidopsis thaliana</i> L. leaves in response to water deficit by A. R. Volyanskaya, E. A. Antropova, U. S. Zubairova, P. S. Demenkov, A. S. Venzel, Y. L. Orlov, A. A. Makarova, T. V. Ivanisenko, T. A. Gorshkova, A. R. Aglyamova, N. A. Kolchanov, M. Chen, V. A.  Ivanisenko

“…Overall, the implemented algorithm could be used for prediction of regulatory interactions between transcription factors and target genes encoding cell wall proteins in plants.…”
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Impact of climate change over distribution and potential range of chestnut in the Iberian Peninsula by Pedro Álvarez-Álvarez, Adrián Aviñoa-Arias, Adrián Aviñoa-Arias, Emilio Díaz-Varela, José Vicente López-Bao, José Carlos Pérez-Girón

“…The SDMs were constructed using the Random Forest algorithm.Results and DiscussionOur model achieved an accuracy of 86.82%, with high sensitivity (89.91%) and specificity (83.73%). …”
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Enhancing smart home environments: a novel pattern recognition approach to ambient acoustic event detection and localization by Ahsan Shabbir, Abdul Haleem Butt, Taha Khan, Lorenzo Chiari, Ahmad Almadhor, Vincent Karovic

“…Random forest and linear discriminant analysis classifiers were employed for event detection, while the estimation signal parameters through rational-in-variance techniques (ESPRIT) algorithm was used for sound source localization.ResultsThe study achieved high detection accuracy, with random forest and linear discriminant analysis classifiers attaining 95% and 87%, respectively, for event detection. …”
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A novel adaptive droop-based SoC balancing control strategy for distributed energy storage system in DC microgrid by Liangliang Guo, Xinrui Liu, Xinyu Li, Rui Wang, Hanwen Ren, Zhiliang Wang, Qiuye Sun

“…In order to realize low-bandwidth communication in sparse communication networks, multi-agent consensus algorithm (MACA) is used to perform local estimation of global mean variables. …”
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Oncolytic Viruses and Immunotherapy for the Treatment of Uveal Melanoma and Retinoblastoma: The Current Landscape and Novel Advances by Merve Kulbay, Nicolas Tuli, Massimo Mazza, Armaan Jaffer, Sarinee Juntipwong, Emily Marcotte, Stuti Misty Tanya, Anne Xuan-Lan Nguyen, Miguel N. Burnier, Hakan Demirci

“…., AU011), oncolytic viruses for metastatic UM, and targeted immunotherapies have shown great results in clinical trials for the future clinical application of these novel technologies in the treatment algorithm of certain intraocular tumors.…”
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Development of a respiratory virus risk model with environmental data based on interpretable machine learning methods by Shuting Shi, Haowen Lin, Leiming Jiang, Zhiqi Zeng, ChuiXu Lin, Pei Li, Yinghua Li, Zifeng Yang

“…We utilized the CRFC algorithm, a random forest-based method for multi-label classification, to predict the presence of various respiratory viruses. …”
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Predicting the clinical subcutaneous absorption rate constant of monoclonal antibodies using only the primary sequence: a machine learning approach by Ronghua Bei, Justin Thomas, Shiven Kapur, Mahlet Woldeyes, Adam Rauk, Jason Robarge, Jiangyan Feng, Kaoutar Abbou Oucherif

“…Once trained, our model (enabled by the XGBoost algorithm in machine learning) can predict the ka of a mAb following a subcutaneous injection using in silico molecular properties alone (generated from the primary sequence). …”
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