pACP-HybDeep: predicting anticancer peptides using binary tree growth based transformer and structural feature encoding with deep-hybrid learning by Shahid, Maqsood Hayat, Wajdi Alghamdi, Shahid Akbar, Ali Raza, Rabiah Abdul Kadir, Mahidur R. Sarker

“…Furthermore, a k-nearest neighbor-based binary tree growth (BTG) algorithm is employed to select an optimal feature set from the multi-perspective vector. …”
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Recovering Pulsar Periodicity from Time-of-arrival Data by Finding the Shortest Vector in a Lattice by Dotan Gazith, Aaron B. Pearlman, Barak Zackay

“…Identifying such a periodicity from a discrete set of arrival times is a difficult algorithmic problem, In particular when the pulsar is in a binary system. …”
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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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Radial Evolution of Interplanetary Shock Properties with Heliospheric Distance: Observations from Parker Solar Probe by Oksana Kruparova, Adam Szabo, Lan K. Jian, František Němec, Jana Šafránková, Zdeněk Němeček, Jacob Pasanen, Ayris Narock, Vratislav Krupar

“…Utilizing our ShOck Detection Algorithm database, the shocks are categorized into fast-forward, fast-reverse, slow-forward, and slow-reverse types. …”
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Reconfiguration of brain network dynamics in bipolar disorder: a hidden Markov model approach by Xi Zhang, Lan Yang, Jiayu Lu, Yuting Yuan, Dandan Li, Hui Zhang, Rong Yao, Jie Xiang, Bin Wang

“…Additionally, we investigated the relationship between altered brain dynamics and structural disruption through the ridge regression (RR) algorithm. The results demonstrated that BD spent less time in a hyperconnected state with higher network efficiency and lower segregation. …”
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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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A study on the optimal allocation of photovoltaic storage capacity for rural new energy microgrids based on double-layer multi-objective collaborative decision-making by Huixuan Li, Peng Li, Xianyu Yue, Yongle Zheng, Wenjing Zu, Hongkai Zhang

“…The quantum-behaved particle swarm optimization algorithm is used to solve the optimal solution set of the objective function, and the interactive multi-criteria decision-making method is used to select the compromise solution to realize efficient optimal allocation of optical storage capacity. …”
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Contrast-Enhanced CT Texture Analysis for Distinguishing Fat-Poor Renal Angiomyolipoma From Chromophobe Renal Cell Carcinoma by Guangjie Yang MD, Aidi Gong BS, Pei Nie MD, Lei Yan BS, Wenjie Miao BS, Yujun Zhao BS, Jie Wu MD, Jingjing Cui BS, Yan Jia BS, Zhenguang Wang MD

“…The 2D and 3D CTTA models were constructed with the least absolute shrinkage and selection operator algorithm and texture scores were calculated. The diagnostic performance of the 2D and 3D CTTA models was evaluated with respect to calibration, discrimination, and clinical usefulness. …”
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Soft Tissue/Bone Decomposition of Conventional Chest Radiographs Using Nonparametric Image Priors by Yunbi Liu, Wei Yang, Guangnan She, Liming Zhong, Zhaoqiang Yun, Yang Chen, Ni Zhang, Liwei Hao, Zhentai Lu, Qianjin Feng, Wufan Chen

“…The corresponding fields between the observed chest radiograph and the exemplars are solved by a hierarchically dense matching algorithm. Then, nonparametric priors of soft tissue and bone components are constructed by sampling image patches from the selected soft tissue and bone images according to the corresponding fields. …”
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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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Method of Helicopter Turboshaft Engines’ Protection During Surge in Starting Mode by Denys Baranovskyi, Serhii Vladov, Maryna Bulakh, Victoria Vysotska, Viktor Vasylenko, Jan Czyżewski

“…The backpropagation algorithm with hyperparameter optimization via Bayesian optimization was used to train the network. …”
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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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Sign Language Recognition Based on CNN-BiLSTM Using RF Signals by Yajun Zhang, Yuankang Wang, Feng Li, Weiqian Yu, Congcong Wang, Ying Jiang

“…Secondly, to accurately delineate the start and end points of sign language action signals, we propose an improved version of the Varri signal segmentation algorithm called Varri+ to effectively optimize the segmentation of sign language actions. …”
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